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1

Hedley, Michelle. "Multi–parametric magnetic resonance imaging before prostate biopsy." Cancer Nursing Practice 16, no. 8 (2017): 21–25. http://dx.doi.org/10.7748/cnp.2017.e1417.

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Omari, Eenas A., Ying Zhang, Ergun Ahunbay, et al. "Multi‐parametric magnetic resonance imaging for radiation treatment planning." Medical Physics 49, no. 4 (2022): 2836–45. http://dx.doi.org/10.1002/mp.15534.

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Qi, Haikun, Gastao Cruz, René Botnar, and Claudia Prieto. "Synergistic multi-contrast cardiac magnetic resonance image reconstruction." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 379, no. 2200 (2021): 20200197. http://dx.doi.org/10.1098/rsta.2020.0197.

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Cardiac magnetic resonance imaging (CMR) is an important tool for the non-invasive diagnosis of a variety of cardiovascular diseases. Parametric mapping with multi-contrast CMR is able to quantify tissue alterations in myocardial disease and promises to improve patient care. However, magnetic resonance imaging is an inherently slow imaging modality, resulting in long acquisition times for parametric mapping which acquires a series of cardiac images with different contrasts for signal fitting or dictionary matching. Furthermore, extra efforts to deal with respiratory and cardiac motion by triggering and gating further increase the scan time. Several techniques have been developed to speed up CMR acquisitions, which usually acquire less data than that required by the Nyquist–Shannon sampling theorem, followed by regularized reconstruction to mitigate undersampling artefacts. Recent advances in CMR parametric mapping speed up CMR by synergistically exploiting spatial–temporal and contrast redundancies. In this article, we will review the recent developments in multi-contrast CMR image reconstruction for parametric mapping with special focus on low-rank and model-based reconstructions. Deep learning-based multi-contrast reconstruction has recently been proposed in other magnetic resonance applications. These developments will be covered to introduce the general methodology. Current technical limitations and potential future directions are discussed. This article is part of the theme issue ‘Synergistic tomographic image reconstruction: part 1’.
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Johnson, David C., and Robert E. Reiter. "Multi-parametric magnetic resonance imaging as a management decision tool." Translational Andrology and Urology 6, no. 3 (2017): 472–82. http://dx.doi.org/10.21037/tau.2017.05.22.

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Engström, Maria, Jan B. M. Warntjes, Anders Tisell, Anne-Marie Landtblom, and Peter Lundberg. "Multi-Parametric Representation of Voxel-Based Quantitative Magnetic Resonance Imaging." PLoS ONE 9, no. 11 (2014): e111688. http://dx.doi.org/10.1371/journal.pone.0111688.

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Arumainavagam, N., H. U. Ahmed, C. Moore, et al. "156 MULTI-PARAMETRIC MAGNETIC RESONANCE IMAGING IN RADIO-RECURRENT PROSTATE CANCER." European Urology Supplements 9, no. 2 (2010): 81. http://dx.doi.org/10.1016/s1569-9056(10)60160-1.

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Blackledge, Matthew D., Mihaela Rata, Nina Tunariu, et al. "Visualizing whole-body treatment response heterogeneity using multi-parametric magnetic resonance imaging." Journal of Algorithms & Computational Technology 10, no. 4 (2016): 290–301. http://dx.doi.org/10.1177/1748301816668024.

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A novel post-processing methodology able to assess whole-body tumor heterogeneity in patients with metastatic disease is proposed. The method is demonstrated on paired pre- and post-treatment data sets obtained from an initial cohort of six patients with metastatic disease from primary prostate or ovarian cancers. Whole-body diffusion-weighted imaging and T1-weighted contrast-enhanced imaging data were acquired covering the chest, abdomen, and pelvis. Joint histograms of Apparent Diffusion Coefficient and Fractional Enhancement values were calculated within volumes of interest and were modeled as a Gaussian mixture of two classes. Probability maps and volumetric estimates of the magnetic resonance data-derived classes providing visualization of pre- and post-treatment data are shown in three patient examples. This technique provided spatially heterogeneous characterization of regions following treatment as defined by the combined analysis of apparent diffusion coefficient and fractional enhancement. A new whole-body magnetic resonance data analysis has been demonstrated enabling visualization of intra-patient response heterogeneity in patients with metastatic cancer. Changes in the parameters of each subpopulation derived from this technique (apparent diffusion coefficient and fractional enhancement) reflect changes in the tissue properties of each subpopulation following treatment. Furthermore, the volume change of each population can be quantified. Such techniques may be essential for personalized anti-cancer therapy where there is a need to detect early drug-resistance and monitor heterogeneous response.
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Grenier, Renaud, Delphine Périé, Guillaume Gilbert, Gilles Beaudoin, and Daniel Curnier. "Assessment of Mechanical Properties of Muscles from Multi-Parametric Magnetic Resonance Imaging." Journal of Biomedical Science and Engineering 07, no. 08 (2014): 593–603. http://dx.doi.org/10.4236/jbise.2014.78060.

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Bhat, Zubair, Arshad Bhat, Jayasimha Abbaraju, Mudassir Wani, Tahir Bhat, and Shameer Deen. "Active surveillance: transperineal biopsies and evaluation of multi-parametric magnetic resonance imaging." International Surgery Journal 6, no. 10 (2019): 3536. http://dx.doi.org/10.18203/2349-2902.isj20194405.

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Background: Active surveillance has emerged as an acceptable choice for low-risk prostate cancer patients and is defined as a treatment strategy of close monitoring through PSA, digital rectal examination, imaging and prostate biopsy, with conversion to curative treatment if progression occurs. An ideal tool for risk-stratification would detect aggressive cancers and exclude such men from taking up active surveillance in the first place.Methods: We retrospectively reviewed patients who underwent transperineal template biopsies from January 2016 till December 2018. All the patients had been classified as low grade prostate cancer after conventional trans-rectal ultrasound guided biopsy and enrolled in AS after discussion in hospital MDM. As per NICE guidelines all patients underwent multi-parametric magnetic resonance imaging (MRI). All suspicious lesions were assigned a PIRAD score; this was followed by Trans-perineal prostate biopsy. 142 patients were on active surveillance and underwent mapping transperineal template biopsies and cognitive target biopsies. 130 of them had multi-parametric MRI prior to the biopsies.Results: In 52% of cases the histology was upgraded. In 34 (24%) the cancer was upgraded to Gleason 3+4 and 39 (28%) it was upgraded to scores higher than Gleason 3+4. Only 64 (45%) patients continued on active surveillance post-template biopsies due to significant upgrading of histology.Conclusions: We advocate combination of MRI and an early transperineal template guided prostatic biopsies for intermediate risk prostate cancer, multiple core involvement, higher PIRAD grades and suspicious prostate on digital rectal examination in order to re-stage the initial disease and provide better safety for this cohort of patients.
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Rabah, Danny, Waleed Al-Taweel, Farrukh Khan, et al. "Transperineal versus transrectal multi-parametric magnetic resonance imaging fusion targeted prostate biopsy." Saudi Medical Journal 42, no. 6 (2021): 649–54. http://dx.doi.org/10.15537/smj.2021.42.6.20200771.

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Schreurs, Tom J. L., Stefanie J. Hectors, Igor Jacobs, Holger Grüll, Klaas Nicolay, and Gustav J. Strijkers. "Quantitative Multi-Parametric Magnetic Resonance Imaging of Tumor Response to Photodynamic Therapy." PLOS ONE 11, no. 11 (2016): e0165759. http://dx.doi.org/10.1371/journal.pone.0165759.

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Kastner, Christof. "A urologists’ guide to the multi-parametric magnetic resonance imaging (mpMRI)-galaxy." BJU International 115, no. 4 (2015): 503–4. http://dx.doi.org/10.1111/bju.12978.

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Grivas, N., K. Hinnen, J. de Jong, et al. "Seminal vesicle invasion on multi-parametric magnetic resonance imaging: Correlation with histopathology." European Urology Supplements 17, no. 2 (2018): e1319. http://dx.doi.org/10.1016/s1569-9056(18)31757-3.

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Grivas, Nikolaos, Karel Hinnen, Jeroen de Jong, et al. "Seminal vesicle invasion on multi-parametric magnetic resonance imaging: Correlation with histopathology." European Journal of Radiology 98 (January 2018): 107–12. http://dx.doi.org/10.1016/j.ejrad.2017.11.013.

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Stagno, Valeria, and Silvia Capuani. "Decay of a Roman age pine wood studied by micro magnetic resonance imaging, diffusion nuclear magnetic resonance and portable nuclear magnetic resonance." ACTA IMEKO 11, no. 1 (2022): 10. http://dx.doi.org/10.21014/acta_imeko.v11i1.1079.

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Wood is a hygroscopic biodegradable porous material widely used by men in the past to create artworks. Its total preservation over time is quite rare and one of the best preservation modalities is waterlogging. Observing the anatomy of waterlogged archaeological wood could also be complicated because of its bacterial degradation. However, the characterization of wood morphology and conservation state is a fundamental step before starting any restoration intervention as it allows to extract information about past climatic conditions and human activities. In this work, a micro-invasive approach based on the combined use of high-resolution magnetic resonance imaging (MRI) and diffusion-nuclear magnetic resonance (NMR) was tested both on a modern and an ancient pine wood sample. Furthermore, a completely non-invasive analysis was performed by using portable NMR. This multi-analytical NMR approach allowed to highlight the effect of decay on the wood microstructure, through alterations in the pores size, tortuosity, and images contrast of the ancient pine compared to the modern one. This work pointed out the different but complementary multi-parametric information that can be obtained by using NMR and tested the potential of high-field MRI and low-field portable NMR in the detection of wood diagnostic features.
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Maganty, Avinash, Michelle Yu, Liam C. Macleod, et al. "Increasing utilization of multi-parametric magnetic resonance imaging in prostate cancer active surveillance." Journal of Clinical Oncology 37, no. 7_suppl (2019): 125. http://dx.doi.org/10.1200/jco.2019.37.7_suppl.125.

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125 Background: Multi-parametric resonance imaging (mpMRI) has emerged as a tool that may improve risk-stratification and decrease repeated biopsies in men electing active surveillance. However, the extent to which mpMRI has been implemented in active surveillance has not been established. Therefore, we sought to characterize the use of multiparametric magnetic resonance imaging (mpMRI) in Medicare beneficiaries electing active surveillance for prostate cancer. Methods: SEER-Medicare claims data, we identified men with localized prostate cancer diagnosed between 2008-2013 and managed with active surveillance. We classified men into two treatment groups: active surveillance without mpMRI and active surveillance with mpMRI. We then fit a multivariable logistic regression models to examine changing mpMRI utilization over time, and factors associated with the receipt of mpMRI. Results: We identified 9,467 men on active surveillance. Of these, 8,178 (86%) did not receive mpMRI and 1,289 (14%) received mpMRI. The likelihood of receiving mpMRI over the entire study period increased by 3.7% (p = 0.004). On multivariable logistic regression, patients who were younger, white, had lower comorbidity burden, lived in the northeast and west, had higher incomes and lived in more urban areas had greater odds of receiving mpMRI (all p < 0.05). Conclusions: From 2008-2013, use of mpMRI in active surveillance increased gradually but significantly. Receipt of mpMRI among men on surveillance for prostate cancer varied significantly across demographic, geographic and socioeconomic strata. Going forward, studies should investigate causes for this variation and define ideal strategies for equitable, cost-effective dissemination of mpMRI technology.
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Yu, Michelle, Avinash Maganty, Liam C. Macleod, et al. "Cost implications of multi-parametric magnetic resonance imaging in prostate cancer active surveillance." Journal of Clinical Oncology 37, no. 7_suppl (2019): 65. http://dx.doi.org/10.1200/jco.2019.37.7_suppl.65.

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65 Background: Multi-parametric resonance imaging (mpMRI) has emerged to improve disease risk-stratification and decrease number of repeat biopsies in men on prostate cancer active surveillance (AS). However, the impact of mpMRI on cost of AS has not been established. We thus characterize the impact mpMRI on cost of AS in the Medicare population. Methods: Using SEER-Medicare files we identified men ≥66 years old with localized grade group I-II prostate cancer diagnosed 2008-2013. With an established algorithm, we classified men into active surveillance with and without mpMRI. We then determined cost of surveillance in each group using inflation-adjusted Medicare payments for surveillance-related procedures and their sequalae (i.e. PSA tests, prostate biopsies, post-biopsy complications and mpMRIs). Multivariable median regression compared cost and procedural-intensity for men who received mpMRI and those who did not. Results: We identified 9,081 men on AS with median follow up 45 months (IQR 29-64 months). 7,856 (87%) men did not receive mpMRI and 1,225 (13%) did. On multivariable median regression, receipt of mpMRI was associated with an additional $449 (95%CI $391-$507) in Medicare payments per year. Younger age, treatment in the west or northeast, greater population density and treatment later in the study period were associated with increased cost of AS. Conclusions: Among Medicare beneficiaries on AS, mpMRI is associated with additional annual cost to Medicare. MpMRI may be a marker of more stringent AS, which is likely more costly than watchful waiting. Future studies are needed to determine optimal use of mpMRI during AS to maximize value.
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Porpiglia, Francesco, and Stefano De Luca. "Prostate cancer biomarkers: new scenarios in the multi-parametric magnetic resonance imaging era." BJU International 120, no. 6 (2017): 745–46. http://dx.doi.org/10.1111/bju.13803.

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Russo, Camilla, Diego Strianese, Marianna Perrotta, et al. "Multi-parametric magnetic resonance imaging characterization of orbital lesions: a triple blind study." Seminars in Ophthalmology 35, no. 2 (2020): 95–102. http://dx.doi.org/10.1080/08820538.2020.1742358.

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Dinis Fernandes, Catarina, Cuong V. Dinh, Marcel J. Steggerda, et al. "Prostate fiducial marker detection with the use of multi-parametric magnetic resonance imaging." Physics and Imaging in Radiation Oncology 1 (January 2017): 14–20. http://dx.doi.org/10.1016/j.phro.2017.02.001.

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Noh, Tae Il, Jong Hyun Tae, Hyung Keun Kim, et al. "Diagnostic Accuracy and Value of Magnetic Resonance Imaging–Ultrasound Fusion Transperineal Targeted and Template Systematic Prostate Biopsy Based on Bi-parametric Magnetic Resonance Imaging." Cancer Research and Treatment 52, no. 3 (2020): 714–21. http://dx.doi.org/10.4143/crt.2019.716.

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Purpose The purpose of this study was to investigate the diagnostic value of magnetic resonance imaging (MRI)–ultrasound (US) fusion transperineal targeted biopsy (FTB) and fusion template systematic biopsy (FSB) for prostate cancer (PCa) and clinically significant prostate cancer (csPCa) (intermediate/high grade [Gleason score ≥ 3+4]) based on bi-parametric MRI (bpMRI).Materials and methodsRetrospectively, we analyzed 300 patients with elevated prostate-specific antigen (≥ 4.0 ng/mL) and/or abnormal findings in a digital rectal examination at the Korea University Hospital. All 300 men underwent bpMRI-US fusion transperineal FTB and FSB in the period from April 2017 to March 2019.ResultsPCas were detected in 158 of 300 men (52.7%), and the prevalence of csPCa was 34.0%. CsPCas were detected in 12 of 102 (11.8%) with Prostate Imaging-Reporting and Data System (PI-RADS) 3, 42 of 92 (45.7%) with PI-RADS 4, respectively; and 45 of 62 (72.6%) men with PI-RADS 5, respectively. BpMRI showed a sensitivity of 95.1% and negative predictive value of 89.6% for csPCa. FTB detected additional csPCa in 33 men (12.9%) compared to FSB. Compared to FTB, FSB detected additional csPCa in 10 men (3.9%).ConclusionBpMRI-US FTB and FSB improved detection of PCa and csPCa. The accuracy of bi-parametric MRI is comparable with that of multi-parametric MRI. Further, it is rapid, simpler, cheaper, and no side effects of contrast media. Therefore, it is expected that bpMRI-US transperineal FTB and FSB could be a good alternative to conventional US-guided transrectal biopsy, which is the current gold standard.
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Wyatt, Cory R., Travis B. Smith, Manoj K. Sammi, William D. Rooney, and Alexander R. Guimaraes. "Multi-parametric T 2 * magnetic resonance fingerprinting using variable echo times." NMR in Biomedicine 31, no. 9 (2018): e3951. http://dx.doi.org/10.1002/nbm.3951.

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Rafailidis, Vasileios, Ioannis Chryssogonidis, Thomas Tegos, Sasan Partovi, Afroditi Charitanti-Kouridou, and Daniel Staub. "Role of multi-parametric ultrasound in transient perivascular inflammation of the carotid artery syndrome." Ultrasound 27, no. 2 (2019): 77–84. http://dx.doi.org/10.1177/1742271x18822658.

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Introduction The term “carotidynia” has been used to describe a symptom or a nosologic entity characterized by pain in the lateral neck region and over the carotid bifurcation. Recent advances in diagnostic imaging and the introduction of diagnostic criteria have led to the adoption of term “Transient perivascular inflammation of the carotid artery” (TIPIC) syndrome. Method A retrospective analysis of the Radiology Department’s database was performed to identify cases with the diagnosis of TIPIC syndrome. The purpose was to identify ultrasound images including B-mode technique, colour, power Doppler technique and contrast-enhanced ultrasound (CEUS). Findings In total, five patients with the diagnosis of TIPIC syndrome are presented in this review. TIPIC syndrome is a clinic-radiologic entity characterized by pain over the carotid area, a symptom referring to a wide differential diagnosis where imaging plays a crucial role for proper diagnosis and treatment. Characteristic imaging findings on conventional ultrasound and CEUS are presented in this review. Discussion TIPIC syndrome can be investigated with virtually any imaging modality. Ultrasound typically reveals perivascular infiltration and a hypoechoic intimal plaque, while no significant luminal narrowing is appreciated. Computed tomography angiography and magnetic resonance angiography also demonstrate these vascular wall changes primarily affecting the distal common carotid artery, the carotid bulb and possibly the internal carotid artery proximal part. Contrast enhancement is a very characteristic and constant finding of TIPIC lesions, suggestive of the inflammatory nature of the disease and can be appreciated on computed tomography angiography and magnetic resonance angiography. CEUS has been recently used and successfully observed contrast enhancement of the lesions, similar to computed tomography angiography and magnetic resonance angiography. Conclusion Ultrasound remains the first-line modality for the evaluation of TIPIC syndrome, capable of providing all the information needed, especially if supplemented with the administration of microbubbles so that the enhancement of lesions can be evaluated.
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Manganaro, Lucia, Valeria Vinci, Antonella Giancotti, et al. "Bi-parametric magnetic resonance imaging applied to obstetrics." Journal of Obstetrics and Gynaecology 37, no. 5 (2017): 670–72. http://dx.doi.org/10.1080/01443615.2017.1281237.

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Bogin, Liora, Raanan Margalit, Henry Ristau, Joel Mispelter, and Hadassa Degani. "Parametric Imaging of Tumor Perfusion with Deuterium Magnetic Resonance Imaging." Microvascular Research 64, no. 1 (2002): 104–15. http://dx.doi.org/10.1006/mvre.2002.2411.

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Ali, Wafek Ibrahim, Mohamed Ismail Hammad, and Tarek Mohamed Sayed Alazab Alshazly. "Role of Multi-Parametric Magnetic Resonance Imaging (MRI) in Assessment of Malignant Prostatic Lesions." Egyptian Journal of Hospital Medicine 75, no. 6 (2019): 3099–106. http://dx.doi.org/10.21608/ejhm.2019.34251.

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Mayer, Rulon, Baris Turkbey, Peter Choyke, and Charles B. Simone II. "Combining and analyzing novel multi-parametric magnetic resonance imaging metrics for predicting Gleason score." Quantitative Imaging in Medicine and Surgery 12, no. 7 (2022): 3844–59. http://dx.doi.org/10.21037/qims-21-1092.

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Querin, G., M. M. El Mendili, T. Lenglet, et al. "Spinal cord multi-parametric magnetic resonance imaging for survival prediction in amyotrophic lateral sclerosis." European Journal of Neurology 24, no. 8 (2017): 1040–46. http://dx.doi.org/10.1111/ene.13329.

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Li, Yiming, Yuchao Liang, Zhiyan Sun, et al. "Radiogenomic analysis of PTEN mutation in glioblastoma using preoperative multi-parametric magnetic resonance imaging." Neuroradiology 61, no. 11 (2019): 1229–37. http://dx.doi.org/10.1007/s00234-019-02244-7.

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Longo, Sveva, Federica Egizi, Valeria Stagno, et al. "A Multi-Parametric Investigation on Waterlogged Wood Using a Magnetic Resonance Imaging Clinical Scanner." Forests 14, no. 2 (2023): 276. http://dx.doi.org/10.3390/f14020276.

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In cultural heritage conservation science, moisture content (MC) is an essential factor to determine. At the same time, it is essential to choose non-destructive and non-invasive approaches for more sustainable investigations and make them safe for the environment and the sample. The question addressed in this work concerns the possibility and the opportunity to investigate waterlogged wood by using nuclear magnetic resonance imaging (MRI) clinical scanners to carry out non-destructive volumetric diagnostics. In this study, MRI, the most important non-invasive medical imaging technique for human tissue analysis, was applied to study archaeological waterlogged wood samples. This type of archaeological material has a very high moisture content (400%–800%), thus, it is an ideal investigative subject for MRI which detects water molecules inside matter. By following this methodology, it was possible to obtain information about water content and conservation status through a T1, T2, and T2* weighted image analysis, without any sampling or handling, and the samples were directly scanned in the water where they were stored. Furthermore, it permited processing 3D reconstruction, which could be an innovative tool for the digitalization of marine archaeological collections. In this work, 16 modern species of wood and a waterlogged archaeological wood sample were studied and investigated using a clinical NMR scanner operating at 3T. The results were compared with X-ray computed tomography (CT) images, as they had already been used for dendrochronology. The comparison highlights the similar, different, and complementary information about moisture content and conservation status in an all-in-one methodology obtainable from both MRI and CT techniques.
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Guo, Hongyu, Jianing Zhou, Peng Liu, and Hong Chen. "Phase-constrained reconstruction method with compressed sensing for multi-parametric quantitative magnetic resonance imaging." Biomedical Signal Processing and Control 80 (February 2023): 104383. http://dx.doi.org/10.1016/j.bspc.2022.104383.

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C, Bindu, and Pavan Kumar Reddy B. "Computer-aided detection for prostate cancer detection based on multi-parametric magnetic resonance imaging." International Journal of Computing and Artificial Intelligence 2, no. 2 (2021): 36–40. http://dx.doi.org/10.33545/27076571.2021.v2.i2a.36.

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Poppel, Hendrik Van. "Should we Address Biochemical Recurrence of Prostate Cancer as Soon as Possible? In Favour." European Oncology & Haematology 14, no. 1 (2018): 12. http://dx.doi.org/10.17925/eoh.2018.14.1.12.

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With the introduction of new anatomical and functional imaging modalities, mainly positron emission tomographycomputed tomography (PET-CT) and multi-parametric magnetic resonance imaging, the eventual origin of biochemical recurrence after curative treatment for prostate cancer can be detected at its earliest stage. Targeted treatment strategies to this local or oligometastatic relapse will be successful in postponing the initiation of systemic treatment, thereby delaying the occurrence of the castrate resistant state and, eventually, improve survival.
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Dani, Krishna A., Fiona C. Moreton, Celestine Santosh, et al. "Oxygen challenge magnetic resonance imaging in healthy human volunteers." Journal of Cerebral Blood Flow & Metabolism 37, no. 1 (2016): 366–76. http://dx.doi.org/10.1177/0271678x15627827.

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Oxygen challenge imaging involves transient hyperoxia applied during deoxyhaemoglobin sensitive (T2*-weighted) magnetic resonance imaging and has the potential to detect changes in brain oxygen extraction. In order to develop optimal practical protocols for oxygen challenge imaging, we investigated the influence of oxygen concentration, cerebral blood flow change, pattern of oxygen administration and field strength on T2*-weighted signal. Eight healthy volunteers underwent multi-parametric magnetic resonance imaging including oxygen challenge imaging and arterial spin labelling using two oxygen concentrations (target FiO2 of 100 and 60%) administered consecutively (two-stage challenge) at both 1.5T and 3T. There was a greater signal increase in grey matter compared to white matter during oxygen challenge (p < 0.002 at 3T, P < 0.0001 at 1.5T) and at FiO2 = 100% compared to FiO2 = 60% in grey matter at both field strengths (p < 0.02) and in white matter at 3T only (p = 0.0314). Differences in the magnitude of signal change between 1.5T and 3T did not reach statistical significance. Reduction of T2*-weighted signal to below baseline, after hyperoxia withdrawal, confounded interpretation of two-stage oxygen challenge imaging. Reductions in cerebral blood flow did not obscure the T2*-weighted signal increases. In conclusion, the optimal protocol for further study should utilise target FiO2 = 100% during a single oxygen challenge. Imaging at both 1.5T and 3T is clinically feasible.
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Ellis, Elizabeth E., and Thomas P. Frye. "Role of multi-parametric magnetic resonance imaging fusion biopsy in active surveillance of prostate cancer: a systematic review." Therapeutic Advances in Urology 14 (January 2022): 175628722211068. http://dx.doi.org/10.1177/17562872221106883.

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Background: Our goal is to review current literature regarding the role of multi-parametric magnetic resonance imaging (mpMRI) in the active surveillance (AS) of prostate cancer (PCa) and identify trends in rate of reclassification of risk category, performance of fusion biopsy (FB) versus systematic biopsy (SB), and progression-free survival. Methods: We performed a comprehensive literature search in PubMed and identified 121 articles. A narrative summary was performed. Results: Thirty-two articles were chosen to be featured in this review. SB and FB are complementary in detecting higher-grade disease in follow-up. While FB was more likely than SB to detect clinically significant disease, FB missed 6.4–11% of clinically significant disease. Imaging factors that predicted upgrading include number of lesions on magnetic resonance imaging (MRI), lesion density, and MRI suspicion level. Conclusion: Incorporating mpMRI FB in conjunction with SB should be part of contemporary AS protocols. mpMRI should additionally be used routinely for follow-up; however, mpMRI is not currently sensitive enough in detecting disease progression to replace biopsy in the surveillance protocol.
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Mansbridge, Margaret, Eric Chung, and Handoo Rhee. "The Use of MRI and PET Imaging Studies for Prostate Cancer Management: Brief Update, Clinical Recommendations, and Technological Limitations." Medical Sciences 7, no. 8 (2019): 85. http://dx.doi.org/10.3390/medsci7080085.

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Multi-parametric magnetic resonance imaging (mpMRI) and positron emission tomography (PET) using prostate-specific membrane antigen (PSMA) targeting ligands have been adopted as a new standard of imaging modality in the management of prostate cancer (PCa). Technological advances with hybrid and advanced computer-assisted technologies such as MR/PET, MR/US, multi-parametric US, and robotic biopsy systems, have resulted in improved diagnosis and staging of patients in various stages of PCa with changes in treatment that may be considered “personalized”. Whilst newer clinical trials incorporate these novel imaging modalities into study protocols and as long-term data matures, patients should be made aware of the potential benefits and harm related to these technologies. Published literature needs to report longer-term treatment efficacy, health economic outcomes, and adverse effects. False positives and negatives of these imaging modalities have the potential to cause harm and the limitations of these technologies should be appreciated. The role of a multi-disciplinary team (MDT) and a shared-decision-making model are important to ensure that all aspects of the novel imaging modalities are considered.
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Lowe, Avanka W., Katarzyna J. Macura, Max Kates, Tamara Lotan, Michael C. Haffner, and Steven P. Rowe. "Prostate multi-parametric magnetic resonance imaging appearance of diffuse adenosis of the peripheral zone (DAPZ)." Urology Case Reports 45 (November 2022): 102178. http://dx.doi.org/10.1016/j.eucr.2022.102178.

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Xu, Bo, Saberio Lo Presti Vega, and Reza Reyaldeen. "Congestive hepatopathy and constrictive pericarditis – An exciting opportunity for multi-parametric cardiac magnetic resonance imaging." International Journal of Cardiology 339 (September 2021): 232–34. http://dx.doi.org/10.1016/j.ijcard.2021.07.017.

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Soeterik, T., H. H. E. Melick, L. M. Dijksman, J. A. Witjes, and J. P. A. Van Basten. "Impact of multi-parametric magnetic resonance imaging on the EAU prostate cancer risk group classification." European Urology Open Science 19 (July 2020): e1719. http://dx.doi.org/10.1016/s2666-1683(20)33750-2.

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Klohs, Jan, Igna Wojtyna Politano, Andreas Deistung та ін. "Longitudinal Assessment of Amyloid Pathology in Transgenic ArcAβ Mice Using Multi-Parametric Magnetic Resonance Imaging". PLoS ONE 8, № 6 (2013): e66097. http://dx.doi.org/10.1371/journal.pone.0066097.

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Melbourne, Andrew, Nicolas Toussaint, David Owen, et al. "NiftyFit: a Software Package for Multi-parametric Model-Fitting of 4D Magnetic Resonance Imaging Data." Neuroinformatics 14, no. 3 (2016): 319–37. http://dx.doi.org/10.1007/s12021-016-9297-6.

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Citak-Er, Fusun, Zeynep Firat, Ilhami Kovanlikaya, Ugur Ture, and Esin Ozturk-Isik. "Machine-learning in grading of gliomas based on multi-parametric magnetic resonance imaging at 3T." Computers in Biology and Medicine 99 (August 2018): 154–60. http://dx.doi.org/10.1016/j.compbiomed.2018.06.009.

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43

Laveaux, S., C. Harmath, and M. Medved. "Using multi-parametric quantitative magnetic resonance imaging (mp-qmri) to predict uterine fibroid growth rate." American Journal of Obstetrics and Gynecology 228, no. 3 (2023): S912—S913. http://dx.doi.org/10.1016/j.ajog.2022.12.185.

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Han, Yuchi, Yucheng Chen, and Victor A. Ferrari. "Contemporary Application of Cardiovascular Magnetic Resonance Imaging." Annual Review of Medicine 71, no. 1 (2020): 221–34. http://dx.doi.org/10.1146/annurev-med-041818-015923.

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Cardiovascular magnetic resonance imaging (CMR) is a comprehensive and versatile diagnostic and prognostic imaging modality that plays an increasingly important role in management of patients with cardiovascular disease. In this review, we discuss CMR applications in nonischemic cardiomyopathy, ischemic heart disease, arrhythmias, right ventricular diseases, and valvular heart disease. We emphasize the quantitative nature of CMR in current practice, from volumes, function, myocardial strain analysis, and late gadolinium enhancement to parametric mapping, including T1, T2, and T2* relaxation times and extracellular volume fraction assessment.
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Daams, Marita, Martijn D. Steenwijk, Menno M. Schoonheim, et al. "Multi-parametric structural magnetic resonance imaging in relation to cognitive dysfunction in long-standing multiple sclerosis." Multiple Sclerosis Journal 22, no. 5 (2015): 608–19. http://dx.doi.org/10.1177/1352458515596598.

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Background: Cognitive deficits are common in multiple sclerosis. Most previous studies investigating the imaging substrate of cognitive deficits in multiple sclerosis included patients with relatively short disease durations and were limited to one modality/brain region. Objective: To identify the strongest neuroimaging predictors for cognitive dysfunction in a large cohort of patients with long-standing multiple sclerosis. Methods: Extensive neuropsychological testing and multimodal 3.0T MRI was performed in 202 patients with multiple sclerosis and 52 controls. Cognitive scores were compared between groups using Z-scores. Whole-brain, white matter, grey matter, deep grey matter and lesion volumes; cortical thickness, (juxta)cortical and cerebellar lesions; and extent and severity of diffuse white matter damage were measured. Stepwise linear regression was used to identify the strongest predictors for cognitive dysfunction. Results: All cognitive domains were affected in patients. Patients showed extensive atrophy, focal pathology and damage in up to 75% of the investigated white matter. Associations between imaging markers and average cognition were two times stronger in cognitively impaired patients than in cognitively preserved patients. The final model for average cognition consisted of deep grey matter DGMV volume and fractional anisotropy severity (adjusted R²=0.490; p<0.001). Conclusion: From all imaging markers, deep grey matter atrophy and diffuse white matter damage emerged as the strongest predictors for cognitive dysfunction in long-standing multiple sclerosis.
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Georgiev, Aleksandar, Lyubomir Chervenkov, Mladen Doykov, Katya Doykova, Petar Uchikov, and Silvia Tsvetkova. "Surveillance Value of Apparent Diffusion Coefficient Maps: Multiparametric MRI in Active Surveillance of Prostate Cancer." Cancers 15, no. 4 (2023): 1128. http://dx.doi.org/10.3390/cancers15041128.

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Background: This study aims to establish the value of apparent diffusion coefficient maps and other magnetic resonance sequences for active surveillance of prostate cancer. The study included 530 men with an average age of 66, who were under surveillance for prostate cancer. We have used multiparametric magnetic resonance imaging with subsequent transperineal biopsy (TPB) to verify the imaging findings. Results: We have observed a level of agreement of 67.30% between the apparent diffusion coefficient (ADC) maps, other magnetic resonance sequences, and the biopsy results. The sensitivity of the apparent diffusion coefficient is 97.14%, and the specificity is 37.50%. According to our data, apparent diffusion coefficient is the most accurate sequence, followed by diffusion imaging in prostate cancer detection. Conclusions: Based on our findings we advocate that the apparent diffusion coefficient should be included as an essential part of magnetic resonance scanning protocols for prostate cancer in at least bi-parametric settings. The best option will be apparent diffusion coefficient combined with diffusion imaging and T2 sequences. Further large-scale prospective controlled studies are required to define the precise role of multiparametric and bi-parametric magnetic resonance in the active surveillance of prostate cancer.
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Nong, Hai-Yang, Yong-Yi Cen, Mi Qin, et al. "Application of texture signatures based on multiparameter-magnetic resonance imaging for predicting microvascular invasion in hepatocellular carcinoma: Retrospective study." World Journal of Gastrointestinal Oncology 16, no. 4 (2024): 1309–18. http://dx.doi.org/10.4251/wjgo.v16.i4.1309.

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BACKGROUND Despite continuous changes in treatment methods, the survival rate for advanced hepatocellular carcinoma (HCC) patients remains low, highlighting the importance of diagnostic methods for HCC. AIM To explore the efficacy of texture analysis based on multi-parametric magnetic resonance (MR) imaging (MRI) in predicting microvascular invasion (MVI) in preoperative HCC. METHODS This study included 105 patients with pathologically confirmed HCC, categorized into MVI-positive and MVI-negative groups. We employed Original Data Analysis, Principal Component Analysis, Linear Discriminant Analysis (LDA), and Non-LDA (NDA) for texture analysis using multi-parametric MR images to predict preoperative MVI. The effectiveness of texture analysis was determined using the B11 program of the MaZda4.6 software, with results expressed as the misjudgment rate (MCR). RESULTS Texture analysis using multi-parametric MRI, particularly the MI + PA + F dimensionality reduction method combined with NDA discrimination, demonstrated the most effective prediction of MVI in HCC. Prediction accuracy in the pulse and equilibrium phases was 83.81%. MCRs for the combination of T2-weighted imaging (T2WI), arterial phase, portal venous phase, and equilibrium phase were 22.86%, 16.19%, 20.95%, and 20.95%, respectively. The area under the curve for predicting MVI positivity was 0.844, with a sensitivity of 77.19% and specificity of 91.67%. CONCLUSION Texture analysis of arterial phase images demonstrated superior predictive efficacy for MVI in HCC compared to T2WI, portal venous, and equilibrium phases. This study provides an objective, non-invasive method for preoperative prediction of MVI, offering a theoretical foundation for the selection of clinical therapy.
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Liu, Fang. "Improving Quantitative Magnetic Resonance Imaging Using Deep Learning." Seminars in Musculoskeletal Radiology 24, no. 04 (2020): 451–59. http://dx.doi.org/10.1055/s-0040-1709482.

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AbstractDeep learning methods have shown promising results for accelerating quantitative musculoskeletal (MSK) magnetic resonance imaging (MRI) for T2 and T1ρ relaxometry. These methods have been shown to improve musculoskeletal tissue segmentation on parametric maps, allowing efficient and accurate T2 and T1ρ relaxometry analysis for monitoring and predicting MSK diseases. Deep learning methods have shown promising results for disease detection on quantitative MRI with diagnostic performance superior to conventional machine-learning methods for identifying knee osteoarthritis.
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Buchanan, Charlotte E., Huda Mahmoud, Eleanor F. Cox, et al. "Quantitative assessment of renal structural and functional changes in chronic kidney disease using multi-parametric magnetic resonance imaging." Nephrology Dialysis Transplantation 35, no. 6 (2019): 955–64. http://dx.doi.org/10.1093/ndt/gfz129.

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Abstract Background Multi-parametric magnetic resonance imaging (MRI) provides the potential for a more comprehensive non-invasive assessment of organ structure and function than individual MRI measures, but has not previously been comprehensively evaluated in chronic kidney disease (CKD). Methods We performed multi-parametric renal MRI in persons with CKD (n = 22, 61 ± 24 years) who had a renal biopsy and measured glomerular filtration rate (mGFR), and matched healthy volunteers (HV) (n = 22, 61 ± 25 years). Longitudinal relaxation time (T1), diffusion-weighted imaging, renal blood flow (phase contrast MRI), cortical perfusion (arterial spin labelling) and blood-oxygen-level-dependent relaxation rate (R2*) were evaluated. Results MRI evidenced excellent reproducibility in CKD (coefficient of variation <10%). Significant differences between CKD and HVs included cortical and corticomedullary difference (CMD) in T1, cortical and medullary apparent diffusion coefficient (ADC), renal artery blood flow and cortical perfusion. MRI measures correlated with kidney function in a combined CKD and HV analysis: estimated GFR correlated with cortical T1 (r = −0.68), T1 CMD (r = −0.62), cortical (r = 0.54) and medullary ADC (r = 0.49), renal artery flow (r = 0.78) and cortical perfusion (r = 0.81); log urine protein to creatinine ratio (UPCR) correlated with cortical T1 (r = 0.61), T1 CMD (r = 0.61), cortical (r = −0.45) and medullary ADC (r = −0.49), renal artery flow (r = −0.72) and cortical perfusion (r = −0.58). MRI measures (cortical T1 and ADC, T1 and ADC CMD, cortical perfusion) differed between low/high interstitial fibrosis groups at 30–40% fibrosis threshold. Conclusion Comprehensive multi-parametric MRI is reproducible and correlates well with available measures of renal function and pathology. Larger longitudinal studies are warranted to evaluate its potential to stratify prognosis and response to therapy in CKD.
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Javed, Summrah, M. Mukkaram Zafar, Shakeela Rasheed, et al. "Multi-Parametric Evaluation of Prostate Cancer on MRI." Journal of Health and Rehabilitation Research 4, no. 1 (2024): 371–76. http://dx.doi.org/10.61919/jhrr.v4i1.378.

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Background: Prostate cancer is the most common malignancy among men globally and the second leading cause of cancer-related deaths. The increasing prevalence, particularly in aging populations, underscores the urgent need for accurate diagnostic tools to facilitate early detection, precise staging, and effective management. Traditional diagnostic methods, including Digital Rectal Examination (DRE) and Prostate-Specific Antigen (PSA) testing, have limitations in sensitivity and specificity, leading to unnecessary procedures and missed diagnoses. Objective: This study aims to evaluate the efficacy of multiparametric Magnetic Resonance Imaging (mpMRI) in the diagnosis and staging of prostate cancer, comparing its accuracy with conventional diagnostic methods and examining its role in improving patient outcomes. Methods: A retrospective descriptive cross-sectional study was conducted at the Diagnostic Center of Combined Military Hospital, Lahore, from January 2021 to June 2023. Sixty male patients suspected of having prostate cancer, based on elevated PSA levels (>10 ng/mL) or clinical symptoms, were included. mpMRI scans were performed using a Siemens Avanto MRI Machine 1.5T, incorporating T2-weighted imaging, Diffusion-Weighted Imaging (DWI), and Dynamic Contrast-Enhanced (DCE) MRI. The Prostate Imaging Reporting and Data System (PI-RADS) was employed for interpretation. Statistical analysis was conducted using SPSS 26.0, with chi-square tests applied to assess the association between mpMRI findings and prostate cancer diagnosis. Results: mpMRI identified prostate cancer with a sensitivity of 85% and specificity of 88.3%, as evidenced by abnormal MRI findings in 53 out of 60 patients. Elevated PSA levels were confirmed in 90% of the cases. T2-weighted imaging demonstrated hypointensity in the peripheral zone in 70% of patients, while DWI and ADC mapping showed restricted diffusion in 85% of the cases. DCE-MRI revealed post-contrast enhancement in 40% of the participants. The PI-RADS scoring system effectively graded the severity of prostate lesions, with 38.3% of cases categorized as PI-RADS IV. Conclusion: Multiparametric MRI significantly enhances the accuracy of prostate cancer diagnosis and staging, surpassing traditional diagnostic methods in sensitivity and specificity. By providing detailed anatomical and functional information, mpMRI facilitates early detection, accurate localization, and appropriate management of prostate cancer, potentially improving patient outcomes.
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