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Journal articles on the topic 'Breast tissue imaging'

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1

Issar, Pratibha, Sabita Desai, Ravindranath M., and Priya Sahu. "Illuminating the obscure: An imaging study of male breast diseases." Indian Journal of Breast Imaging 2 (September 30, 2024): 44–52. http://dx.doi.org/10.25259/ijbi_5_2023.

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Male breasts mainly have fatty tissue with few ducts and stroma, in contrast to women’s breasts, which predominantly have ducts, stroma, and glandular tissue. This requires knowledge of normal male breast anatomy and physiological and pathological changes in the male breast. This article deals with normal anatomy and a spectrum of diseases involving the male breast.
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2

Klock, John C., Elaine Iuanow, Bilal Malik, Nancy A. Obuchowski, James Wiskin, and Mark Lenox. "Anatomy-Correlated Breast Imaging and Visual Grading Analysis Using Quantitative Transmission Ultrasound™." International Journal of Biomedical Imaging 2016 (2016): 1–9. http://dx.doi.org/10.1155/2016/7570406.

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Objectives. This study presents correlations between cross-sectional anatomy of human female breasts and Quantitative Transmission (QT) Ultrasound, does discriminate classifier analysis to validate the speed of sound correlations, and does a visual grading analysis comparing QT Ultrasound with mammography.Materials and Methods. Human cadaver breasts were imaged using QT Ultrasound, sectioned, and photographed. Biopsies confirmed microanatomy and areas were correlated with QT Ultrasound images. Measurements were taken in live subjects from QT Ultrasound images and values of speed of sound for e
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Takahashi, Haruko, Daisuke Kawahara, and Yutaka Kikuchi. "Understanding Breast Cancers through Spatial and High-Resolution Visualization Using Imaging Technologies." Cancers 14, no. 17 (2022): 4080. http://dx.doi.org/10.3390/cancers14174080.

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Breast cancer is the most common cancer affecting women worldwide. Although many analyses and treatments have traditionally targeted the breast cancer cells themselves, recent studies have focused on investigating entire cancer tissues, including breast cancer cells. To understand the structure of breast cancer tissues, including breast cancer cells, it is necessary to investigate the three-dimensional location of the cells and/or proteins comprising the tissues and to clarify the relationship between the three-dimensional structure and malignant transformation or metastasis of breast cancers.
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Ku, Geng, Bruno D. Fornage, Xing Jin, Minghua Xu, Kelly K. Hunt, and Lihong V. Wang. "Thermoacoustic and Photoacoustic Tomography of Thick Biological Tissues toward Breast Imaging." Technology in Cancer Research & Treatment 4, no. 5 (2005): 559–65. http://dx.doi.org/10.1177/153303460500400509.

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Microwave-based thermoacoustic tomography (TAT) and laser-based photoacoustic tomography (PAT) in a circular scanning configuration were both developed to image deeply seated lesions and objects in biological tissues. Because malignant breast tissue absorbs microwaves more strongly than benign breast tissue, cancers were imaged with good spatial resolution and contrast by TAT in human breast mastectomy specimens. Based on the intrinsic optical contrast between blood and chicken breast muscle, an embedded blood object that was 5 cm deep in the tissue was also detected using PAT at a wavelength
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Ayyıldız, Zeynep, İbrahim Akkaya, and Mehmet Engin. "Tissue Mimicking Phantom Design and Characterization for Thermal Imaging Applications on Medical Diagnosis." Celal Bayar Üniversitesi Fen Bilimleri Dergisi 19, no. 1 (2023): 31–37. https://doi.org/10.18466/cbayarfbe.1176244.

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Breast cancer is one of the mortal cancerous for women and an early diagnosis, applying an appropriate treatment and prognosis increases the survival chance of the patients. There are different screening methods and thermal imaging is one of the noninvasive promising diagnosis techniques to detect thermal profile anomalies in breasts. This work includes both simulation and experimental studies for the detection of breast tumors by using thermal images. The first step is the simulation studies based on heat transfer in biological tissues. By using the Bio-Heat transfer theory, temperature diffe
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6

Rhoden, S. A., and S. M. Totterman. "Breast tissue expander: MR imaging artifact." American Journal of Roentgenology 164, no. 3 (1995): 765. http://dx.doi.org/10.2214/ajr.164.3.7863914.

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7

Kline, Nicole J., and Patrick J. Treado. "Raman Chemical Imaging of Breast Tissue." Journal of Raman Spectroscopy 28, no. 2-3 (1997): 119–24. http://dx.doi.org/10.1002/(sici)1097-4555(199702)28:2/3<119::aid-jrs73>3.0.co;2-3.

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8

Hahn, Camerin, and Sima Noghanian. "Heterogeneous Breast Phantom Development for Microwave Imaging Using Regression Models." International Journal of Biomedical Imaging 2012 (2012): 1–12. http://dx.doi.org/10.1155/2012/803607.

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As new algorithms for microwave imaging emerge, it is important to have standard accurate benchmarking tests. Currently, most researchers use homogeneous phantoms for testing new algorithms. These simple structures lack the heterogeneity of the dielectric properties of human tissue and are inadequate for testing these algorithms for medical imaging. To adequately test breast microwave imaging algorithms, the phantom has to resemble different breast tissues physically and in terms of dielectric properties. We propose a systematic approach in designing phantoms that not only have dielectric prop
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9

Fico, Noemi, Graziella Di Grezia, Vincenzo Cuccurullo, et al. "Breast Imaging Physics in Mammography (Part I)." Diagnostics 13, no. 20 (2023): 3227. http://dx.doi.org/10.3390/diagnostics13203227.

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Breast cancer is the most frequently diagnosed neoplasm in women in Italy. There are several risk factors, but thanks to screening and increased awareness, most breast cancers are diagnosed at an early stage when surgical treatment can most often be conservative and the adopted therapy is more effective. Regular screening is essential but advanced technology is needed to achieve quality diagnoses. Mammography is the gold standard for early detection of breast cancer. It is a specialized technique for detecting breast cancer and, thus, distinguishing normal tissue from cancerous breast tissue.
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10

Nikolic, Jelena, Marija Marinkovic, Dragana Lekovic-Stojanov, Isidora Djozic, Nada Vuckovic, and Zlata Janjic. "Bilateral axillary accessory breasts: A case report and literature review." Medical review 73, no. 5-6 (2020): 165–69. http://dx.doi.org/10.2298/mpns2006165n.

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Introduction. Accessory breast is a congenital anomaly where ectopic breast tissue is found at any place other than the normal location. It is an extra tissue or a fully developed breast with a nipple. The incidence of this malformation is 0.4-6%. It is believed that this congenital malformation is associated with incomplete regression of the primitive milk streak during embryonic development. The diagnosis and treatment of accessory breasts is very important, because an ectopic breast tissue can undergo various pathological changes, as well as the normal breast tissue. Case Report. The author
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Zhao, YiLi, and Mary Salvatore. "Abstract P2-09-08: Correlating Breast Density with FDG-avidity on PET Imaging." Clinical Cancer Research 31, no. 12_Supplement (2025): P2–09–08—P2–09–08. https://doi.org/10.1158/1557-3265.sabcs24-p2-09-08.

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Abstract Purpose: It is well documented that breast density is an independent risk factor for the development of breast cancer[1]. Unlike traditional mammograms, PET-CT is uniquely positioned to analyze both the anatomy and metabolism of the breast parenchyma. FDG-avidity seen on PET-CT has been shown to correspond to the proliferation and number of tumor cells, though uptake in different types of breast cancer is variable, [2,3]. High FDG activity is not specific to malignancy, however, and can reflect increased metabolic activity in physiologic tissue like brown adipose tissue [4]. Increased
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12

Benyahia, Radia, Fadwa Hocine, Ouarda Alliche, Imene EL Hafaia, and Salah Eddine Bendib. "Imaging of breast hamartomas." International Journal of Medical, Pharmacy and Drug Research 75, no. 5 (2023): 25–29. http://dx.doi.org/10.22161/ijmpd.7.5.5.

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Breast hamartoma is a rare, well-circumscribed, benign lesion made up of a variable quantity of glandular, adipose and fibrous tissue. This is a lesion that can affect women at any age from puberty. With the increasingly frequent use of imaging methods such as mammography and ultrasound as well as breast biopsy, cases of hamartoma diagnosed are increasing. The diagnosis of these lesions is made by mammography. The histological and radiological aspects are variable and depend on its adipose tissue content. The identification of these lesions is important in order to avoid surgical excisions. We
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13

Mehedi, Ibrahim M., K. Prahlad Rao, Ubaid M. Al-Saggaf, Hadi Mohsen Alkanfery, Maamar Bettayeb, and Rahtul Jannat. "Intelligent Tomographic Microwave Imaging for Breast Tumor Localization." Mathematical Problems in Engineering 2022 (May 25, 2022): 1–9. http://dx.doi.org/10.1155/2022/4090351.

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Researchers are continuously exploring the potential use of microwave imaging in the early detection of breast cancer. The technique offers a promising alternative to mammography, a standard clinical imaging procedure today. The contrast in dielectric properties between normal and cancerous tissues makes microwave imaging a viable technique for detecting breast cancer. Experimental results are presented in this paper that demonstrate the detection of breast cancer using microwaves operating at 2.4 GHz. The procedure involves antenna fabrication, phantom tissue development, and image reconstruc
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Aldehani, Wadhhah, Adel Jawali, Sarah Louise Savaridas, Zhihong Huang, and Luigi Manfredi. "Tissue-Mimicking Materials for Breast Ultrasound Elastography Phantoms: A Systematic Review." Polymers 17, no. 4 (2025): 521. https://doi.org/10.3390/polym17040521.

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Breast ultrasound elastography phantoms are valued for their ability to mimic human tissue, enabling calibration for quality assurance and testing of imaging systems. Phantoms may facilitate the development and evaluation of ultrasound techniques by accurately simulating the properties of breasts. However, selecting appropriate tissue-mimicking materials for realistic and accurate ultrasound exams is crucial to ensure the ultrasound system responds similarly to real breast tissue. We conducted a systematic review of the PubMed, Scopes, Embase, and Web of Sciences databases, identifying 928 art
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15

Joachimowicz, Nadine, Bernard Duchêne, Christophe Conessa, and Olivier Meyer. "Anthropomorphic Breast and Head Phantoms for Microwave Imaging." Diagnostics 8, no. 4 (2018): 85. http://dx.doi.org/10.3390/diagnostics8040085.

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This paper deals with breast and head phantoms fabricated from 3D-printed structures and liquid mixtures whose complex permittivities are close to that of the biological tissues within a large frequency band. The goal is to enable an easy and safe manufacturing of stable-in-time detailed anthropomorphic phantoms dedicated to the test of microwave imaging systems to assess the performances of the latter in realistic configurations before a possible clinical application to breast cancer imaging or brain stroke monitoring. The structure of the breast phantom has already been used by several labor
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16

SEKIGUCHI, RYUZO, and MITSUO SATAKE. "Breast Ultrasound: Advances in Imaging With Tissue Harmonic Imaging." Radiologist 8, no. 5 (2001): 213–20. http://dx.doi.org/10.1097/00042423-200109000-00002.

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17

Li, Siyun, Elise Fear, and Laura Curiel. "Breast tissue mimicking phantoms for combined ultrasound and microwave imaging." Physics in Medicine & Biology 66, no. 24 (2021): 245011. http://dx.doi.org/10.1088/1361-6560/ac3d18.

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Abstract We present a new formulation for a breast tissue-mimicking phantom for combined microwave and ultrasound imaging to assist breast cancer detection. Formulations based on coconut oil, canola oil, agar and glass beads were used to mimic skin and fat tissues. First, 36 recipes were fabricated, and properties were measured to determine the relationship and possible interaction between ingredients with the ultrasound and microwave properties. Based on these results, the formulae were developed to mimic different tissues found in breast, including skin, fat, fibroglandular, and tumour tissu
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18

Losurdo, L., T. M. A. Basile, A. Fanizzi, et al. "A Gradient-Based Approach for Breast DCE-MRI Analysis." BioMed Research International 2018 (May 16, 2018): 1–10. http://dx.doi.org/10.1155/2018/9032408.

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Breast cancer is the main cause of female malignancy worldwide. Effective early detection by imaging studies remains critical to decrease mortality rates, particularly in women at high risk for developing breast cancer. Breast Magnetic Resonance Imaging (MRI) is a common diagnostic tool in the management of breast diseases, especially for high-risk women. However, during this examination, both normal and abnormal breast tissues enhance after contrast material administration. Specifically, the normal breast tissue enhancement is known as background parenchymal enhancement: it may represent brea
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19

Destounis, Stamatia, Andrea Arieno, and Amanda Santacroce. "Screening Ultrasound for Women with Dense Breasts in the Age of Patient-centered Care." American Journal of Sonography 1 (September 20, 2018): 14. http://dx.doi.org/10.25259/ajs-30-2018.

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As the field of medicine moves toward practicing patient-centered care, radiologists in breast imaging must continue to look for ways to increase the value of their practice in the eyes of patients. Providing adjunct screening of women with dense breasts provides such an opportunity. The presence of dense breast tissue is not only an independent risk factor for breast cancer but also a risk factor for the delayed diagnosis of breast cancer as dense tissue reduces the efficacy of screening mammograms due to the tissue masking effect. As legislation for notifying women of their breast density be
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20

Sharafat, Ali, Abdullah Muhammad, Fatma Mahnoor, et al. "Ultrasound Imaging with Birads Classification: A Reliable Diagnostic Tool for Breast Lesions in Women with Confounding Factors." Sarcouncil Journal of Medical Sciences 4, no. 3 (2025): 1–16. https://doi.org/10.5281/zenodo.14962136.

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OBJECTIVE: This study investigates the accuracy of ultrasound imaging paired with BI-RADS classification in diagnosing breast lesions in women, taking into account the influence of confounding factors such as breast density and tissue inflammation. METHODS: A group of 100 women of diverse age ranges and marital statuses participated in this research. Data was collected on indications for medical visits, duration and nature of symptoms, breast composition, echo patterns, density, presence of tissue inflammation, and BI-RADS classification. These variables were analyzed to assess effectiveness o
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21

Kuczyńska, Angelika, Łukasz Kwietniewski, Wiktor Kupisz, Joanna Kruk-Bachonko, and Witold Krupski. "Digital breast tomosynthesis (DBT) value in breast mass detection." Polish Journal of Public Health 130, no. 1 (2021): 1–4. http://dx.doi.org/10.2478/pjph-2020-0001.

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Abstract Epidemiologically, breast cancer is the most common cancer in middle-aged women and it is one of the leading causes of cancer-related deaths. Middle-aged patients are covered by screening tests – digital mammography, often supplemented with ultrasound (US) breast examination. Other radiological tests in the diagnosis of breast cancer include such techniques as tomosynthesis, spectral mammography and magnetic resonance imaging (MRI). Many research groups around the world have demonstrated superiority of tomosynthesis in detecting focal lesions in breasts when compared to conventional m
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22

Mou, Tian, Jianwen Liang, Trung Nghia Vu, Mu Tian, and Yi Gao. "A Comprehensive Landscape of Imaging Feature-Associated RNA Expression Profiles in Human Breast Tissue." Sensors 23, no. 3 (2023): 1432. http://dx.doi.org/10.3390/s23031432.

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The expression abundance of transcripts in nondiseased breast tissue varies among individuals. The association study of genotypes and imaging phenotypes may help us to understand this individual variation. Since existing reports mainly focus on tumors or lesion areas, the heterogeneity of pathological image features and their correlations with RNA expression profiles for nondiseased tissue are not clear. The aim of this study is to discover the association between the nucleus features and the transcriptome-wide RNAs. We analyzed both microscopic histology images and RNA-sequencing data of 456
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23

Al-Ani, Ahlam J. Kalaf. "Demonstration of the value of diffusion weighted MR imaging for differentiation of benign from malignant breast lesions." AL-Kindy College Medical Journal 15, no. 2 (2019): 95–108. http://dx.doi.org/10.47723/kcmj.v15i2.217.

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Background: Radiologic evaluation of breast lesions is being achieved through several imaging modalities. Mammography has an established role in breast cancer screening and diagnosis. Still however, it shows some limitations particulary in dense breast.&#x0D; Methods : Magnetic resonance imaging is an attractive tool for the diagnosis of breast tumors1 and the use of magnetic resonance imaging of the breast is rapidly increasing as this technique becomes more widely available.1 As an adjunct to mammography and ultrasound, MRI can be a valuable addition to the work-up of a breast abnormality. M
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Aref, Mohamed Hisham, Ibrahim H. Aboughaleb, Abdallah Abdelkader Hussein, Ayman Mohammed Farag, Sara Abd El-Ghaffar, and Yasser H. El-Sharkawy. "Malignant versus normal breast tissue: Optical differentiation exploiting hyperspectral imaging system." Tumor Discovery 2, no. 1 (2023): 258. http://dx.doi.org/10.36922/td.258.

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Breast malignancy is a critical problem that severely affects women’s health globally with a high-frequency rate, necessitating fast, effective, and early diagnostic methods. The present study aims to measure the breast tissue’s optical properties by capturing the spectral signatures from malignant and normal breast tissue for therapeutic and diagnostic applications. The optical imaging system incorporates a hyperspectral (HS) camera to capture the spectral signatures for both the malignant and normal breast tissues within 400 ~ 1000 nm. The system was subdivided into two exploratory (reflecti
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Kopans, D. B., C. A. Swann, G. White, et al. "Asymmetric breast tissue." Radiology 171, no. 3 (1989): 639–43. http://dx.doi.org/10.1148/radiology.171.3.2541463.

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Sindi, Rooa, Yin How Wong, Chai Hong Yeong, and Zhonghua Sun. "Quantitative Measurement of Breast Density Using Personalized 3D-Printed Breast Model for Magnetic Resonance Imaging." Diagnostics 10, no. 10 (2020): 793. http://dx.doi.org/10.3390/diagnostics10100793.

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Despite the development and implementation of several MRI techniques for breast density assessments, there is no consensus on the optimal protocol in this regard. This study aimed to determine the most appropriate MRI protocols for the quantitative assessment of breast density using a personalized 3D-printed breast model. The breast model was developed using silicone and peanut oils to simulate the MRI related-characteristics of fibroglandular and adipose breast tissues, and then scanned on a 3T MRI system using non-fat-suppressed and fat-suppressed sequences. Breast volume, fibroglandular tis
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27

Gurando, Andrii V., Tetiana M. Kozarenko, and Viacheslav R. Gurando. "Initial experience with 3T breast MRI in Ukraine." Wiadomości Lekarskie 77, no. 8 (2024): 1525–32. http://dx.doi.org/10.36740/wlek202408101.

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Aim: To assess the initial results of using 3 Tesla contrast-enhanced breast magnetic resonance imaging in Ukraine. Materials and Methods: Our study included 498 diagnostic breast magnetic resonance imaging performed in Neuromed medical center in Kyiv, between March 2020 and December 2022. Patients were positioned prone, with breasts suspended in a dedicated 7-channel bilateral breast coil. MR-images were acquired with the PHILIPS Achieva 3.0Tesla x-series scanner. All studies were made by standard protocol: localizer, morphological and dynamic studies were performed. Results: Our study reveal
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28

Rosen, Eric L., and Mary Scott Soo. "Tissue harmonic imaging sonography of breast lesions." Clinical Imaging 25, no. 6 (2001): 379–84. http://dx.doi.org/10.1016/s0899-7071(01)00335-7.

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29

Durur-Subasi, Irmak, Adem Karaman, Elif Demirci, Sare Sipal, and Mufide Akcay. "The benign mimickers of carcinoma on breast MRI." Journal of Mind and Medical Sciences 9, no. 1 (2022): 96–101. http://dx.doi.org/10.22543/7674.91.p96101.

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The similarity between benign and malignant pathologies on magnetic resonance imaging (MRI) and a wide-ranging variability of the lesions from benign proliferative changes to invasive breast carcinoma cause a lower and wide-ranging specificity of breast MRI relative to its surpass sensitivity. A wide range of tissue components such as the skin, the adipose tissue, vascular and neural tissues, connective tissues, glandular tissues, ducts, and muscle tissues are found here all together. This pictorial review was aimed at deliberating benign mimickers of breast carcinoma on MRI and trying to call
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30

Littrup, Peter J., Mohammad Mehrmohammadi, and Nebojsa Duric. "Breast Tomographic Ultrasound: The Spectrum from Current Dense Breast Cancer Screenings to Future Theranostic Treatments." Tomography 10, no. 4 (2024): 554–73. http://dx.doi.org/10.3390/tomography10040044.

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This review provides unique insights to the scientific scope and clinical visions of the inventors and pioneers of the SoftVue breast tomographic ultrasound (BTUS). Their &gt;20-year collaboration produced extensive basic research and technology developments, culminating in SoftVue, which recently received the Food and Drug Administration’s approval as an adjunct to breast cancer screening in women with dense breasts. SoftVue’s multi-center trial confirmed the diagnostic goals of the tissue characterization and localization of quantitative acoustic tissue differences in 2D and 3D coronal image
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Kratkiewicz, Karl, Alexander Pattyn, Naser Alijabbari, and Mohammad Mehrmohammadi. "Ultrasound and Photoacoustic Imaging of Breast Cancer: Clinical Systems, Challenges, and Future Outlook." Journal of Clinical Medicine 11, no. 5 (2022): 1165. http://dx.doi.org/10.3390/jcm11051165.

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Presently, breast cancer diagnostic methods are dominated by mammography. Although drawbacks of mammography are present including ionizing radiation and patient discomfort, not many alternatives are available. Ultrasound (US) is another method used in the diagnosis of breast cancer, commonly performed on women with dense breasts or in differentiating cysts from solid tumors. Handheld ultrasound (HHUS) and automated breast ultrasound (ABUS) are presently used to generate reflection images which do not contain quantitative information about the tissue. This limitation leads to a subjective inter
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Chowdhry, Divya N., and Avice M. O’Connell. "Breast Imaging in Transgender Patients." Journal of Breast Imaging 2, no. 2 (2020): 161–67. http://dx.doi.org/10.1093/jbi/wbz092.

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Abstract In the United States, at least 1.4 million adults identify as transgender. Despite growing national awareness, the transgender population experiences disparities in breast care access and breast health outcomes. One of the challenges of breast care delivery to transgender patients is the lack of evidence-based screening guidelines, which is likely partly due to the infrequency of transgender breast cancer cases. Several gender-affirming hormonal and surgical interventions are available that impact the imaging appearance of the breasts and the risk of breast cancer. Breast imaging radi
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Wang, Z. G., Y. Liu, G. Wang, and L. Z. Sun. "Elastography Method for Reconstruction of Nonlinear Breast Tissue Properties." International Journal of Biomedical Imaging 2009 (2009): 1–9. http://dx.doi.org/10.1155/2009/406854.

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Elastography is developed as a quantitative approach to imaging linear elastic properties of tissues to detect suspicious tumors. In this paper a nonlinear elastography method is introduced for reconstruction of complex breast tissue properties. The elastic parameters are estimated by optimally minimizing the difference between the computed forces and experimental measures. A nonlinear adjoint method is derived to calculate the gradient of the objective function, which significantly enhances the numerical efficiency and stability. Simulations are conducted on a three-dimensional heterogeneous
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Pavlov, M. V., S. A. Pegov, A. G. Orlova, et al. "THE ROLE OF DIFFUSE OPTICAL SPECTROSCOPY IN THE DIAGNOSIS OF BREAST CANCER (CASE REPORT)." Siberian journal of oncology 18, no. 4 (2019): 92–101. http://dx.doi.org/10.21294/1814-4861-2019-18-4-92-101.

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Breast cancer (BC) is one of the most common malignancies and the leading cause of cancer-related death in women worldwide. Currently, mammography and ultrasound are the methods most commonly used for the detection of BC, but these methods have significant limitations in the absence of “classic” visual symptoms of cancer in the breast tissue. In the complicated clinical situations, such methods as magnetic resonance imaging and positron emission tomography are used for the differential diagnosis of breast cancer. Over the past 20 years, the BC imaging capabilities have expanded due to the intr
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HAFEEZ, T., MB ATTA, K. IMTIAZ, et al. "PRIMARY BREAST LYMPHOMA: A CASE REPORT." Biological and Clinical Sciences Research Journal 2024, no. 1 (2024): 935. http://dx.doi.org/10.54112/bcsrj.v2024i1.935.

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Hematological malignancies, such as lymphomas, rarely involve breast tissues, comprising only 0.04% to 0.7% of all breast neoplasms. This rarity may be attributed to the scarcity of lymphoid tissue in the breast. Primary breast lymphomas pose a diagnostic challenge due to nonspecific imaging findings that can overlap with other breast tumors. This article provides a case study and literature review on primary breast lymphoma.
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Aloufi, Areej S., Nuha Khoumais, Fayka Ahmed, et al. "Accuracy of Abbreviated Breast MRI in Diagnosing Breast Cancer in Women with Dense Breasts Compared with Standard Imaging Modalities." Saudi Journal of Medicine & Medical Sciences 13, no. 1 (2025): 7–17. https://doi.org/10.4103/sjmms.sjmms_58_24.

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Abstract Background: Breast density is an independent risk factor for breast cancer and affects the sensitivity of mammography screening. Therefore, new breast imaging approaches could benefit women with increased breast density in early cancer detection and diagnosis. Objectives: To assess the diagnostic performance of abbreviated breast MRI compared with mammography and other imaging modalities in screening and diagnosing breast cancer among Saudi women with dense breast tissue. Methods: A retrospective diagnostic study was conducted using anonymized medical images and histopathology informa
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LI, ZHIQIU, SHUDONG JIANG, VENKATARAMANAN KRISHNASWAMY, et al. "MR-GUIDED PULSE OXIMETRY IMAGING OF BREAST IN VIVO." Journal of Innovative Optical Health Sciences 04, no. 02 (2011): 199–208. http://dx.doi.org/10.1142/s1793545811001459.

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A near-infrared (NIR) tomography system with spectrally-encoded sources in two wavelength bands was built to quantify the temporal oxyhemoglobin and deoxyhemoglobin contrast in breast tissue at a 20 Hz bandwidth. The system was integrated into a 3 T magnetic resonance (MR) imaging system through a customized breast coil interface for simultaneous optical and MRI acquisition. In this configuration, the MR images provide breast tissue structural information for NIR spectroscopy of adipose and fibro-glandular tissue in breast. Spectral characterization performance of the NIR system was verified t
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Yadav, Sumit Kumar, Souradip Paul, and Mayanglambam Suheshkumar Singh. "Effect of HIFU-Induced Thermal Ablation in Numerical Breast Phantom." Photonics 10, no. 4 (2023): 425. http://dx.doi.org/10.3390/photonics10040425.

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Breast cancer is a leading cause of cancer-related deaths in women, and treatment involved invasive surgery such as lumpectomy. In the last decade, a non-invasive, non-contact high-intensity focused ultrasound (HIFU) therapy was developed for treatment with promising results. However, its success rate depends on patient selection, tissue heterogeneities, HIFU operational parameters, and even imaging techniques. In this emerging field, computer simulations can provide us with a much-needed platform to learn, test, and deduce results virtually before conducting experiments. In this study, we use
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Shinzaki, Wataru, Hironobu Manabe, Michiyo Kubota, et al. "Breast cancer local recurrence after mastectomy with immediate latissimus dorsi myocutaneous flap reconstruction: A case report." SAGE Open Medical Case Reports 11 (January 2023): 2050313X2311775. http://dx.doi.org/10.1177/2050313x231177510.

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Even though most local recurrences after autologous breast reconstruction occur in superficial tissue, they also occur in deep tissue in the reconstructed breast. A 49-year-old woman presented with a bloody discharge from the right nipple. Ultrasonography revealed a hypoechoic area in her right breast, which was diagnosed as ductal carcinoma in situ on histopathology. We performed nipple-sparing mastectomy and immediate reconstruction of the breast with a latissimus dorsi myocutaneous flap. At 6 years postoperatively, the patient presented with a palpable mass. Ultrasonography revealed a solid
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Zeyad, O. Moussa, and El Latif AE. "Breast cancer detection in ultrasound imaging." World Journal of Advanced Research and Reviews 12, no. 1 (2021): 308–14. https://doi.org/10.5281/zenodo.5594838.

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Breast cancer has become one of the most cancers among women in worldwide countries, as well as a leading cause of death. The use of ultrasound images in medical diagnosis and treatment of patients is critical. The success of cancer treatment and outcome is largely dependent on early detection. Imaging modalities such as ultrasonography are used to identify cancer. Ultrasound imaging is noninvasive, widely available, simple to use, and less expensive than other imaging technologies. As a result, ultrasonography is becoming more used as a cancer detection tool. Ultrasound imaging, on the other
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ORAL, Emin Argun, and Alan V. SAHAKİAN. "Breast Tumor Detection and Classification Based on Microwave Imaging." Erzincan Üniversitesi Fen Bilimleri Enstitüsü Dergisi 15, no. 2 (2022): 622–35. http://dx.doi.org/10.18185/erzifbed.1130305.

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Limitations caused by traditional breast cancer detection and screening techniques have encouraged researchers to investigate alternative solutions. This study examines the use of a microwave-based approach for tumor detection in breast tissue and related tumor type classification using matched-filtering. Radar-like confocal microwave imaging (CMI) method constructs the foundation of such tumor detection approach. In particular, a microwave pulse is first transmitted, then back-scattered pulses are collected. All major reflective sites in the breast tissue are detected by repeating this proced
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Faermann, Renata, Jonathan Weidenfeld, Leonid Chepelev, et al. "Outcomes after Surgery for Early Stage Breast Cancer in Women Staged With Preoperative Breast Magnetic Resonance Imaging According to Breast Tissue Density." Journal of Breast Imaging 1, no. 2 (2019): 115–21. http://dx.doi.org/10.1093/jbi/wbz018.

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Abstract Purpose To determine surgical outcomes and breast cancer disease-free survival outcomes of women with early stage breast cancer with and without use of preoperative breast MRI according to breast tissue density. Methods Women with early stage breast cancer diagnosed from 2004 to 2009 were classified into 2 groups: 1) those with dense and heterogeneously dense breasts (DB); 2) those with nondense breasts (NDB) (scattered fibroglandular and fatty replaced tissue). The 2 groups were reviewed to determine who underwent preoperative MRI. Breast tissue density was determined with mammograph
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Besser, Alexandra H., Lauren K. Fang, Michelle W. Tong, et al. "Tri-Compartmental Restriction Spectrum Imaging Breast Model Distinguishes Malignant Lesions from Benign Lesions and Healthy Tissue on Diffusion-Weighted Imaging." Cancers 14, no. 13 (2022): 3200. http://dx.doi.org/10.3390/cancers14133200.

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Diffusion-weighted MRI (DW-MRI) offers a potential adjunct to dynamic contrast-enhanced MRI to discriminate benign from malignant breast lesions by yielding quantitative information about tissue microstructure. Multi-component modeling of the DW-MRI signal over an extended b-value range (up to 3000 s/mm2) theoretically isolates the slowly diffusing (restricted) water component in tissues. Previously, a three-component restriction spectrum imaging (RSI) model demonstrated the ability to distinguish malignant lesions from healthy breast tissue. We further evaluated the utility of this three-comp
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Di Meo, Simona, Giulia Matrone, and Marco Pasian. "Experimental Validation on Tissue-Mimicking Phantoms of Millimeter-Wave Imaging for Breast Cancer Detection." Applied Sciences 11, no. 1 (2021): 432. http://dx.doi.org/10.3390/app11010432.

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Breast cancer is one of the leading causes of cancer death among women; to decrease the death rate for this disease, early detection plays a key role. Recently, microwave imaging systems have been proposed as an alternative to the current techniques, but they suffer from poor resolution due to the low frequencies involved. In this paper, for the first time, an innovative millimeter-wave imaging system for early-stage breast cancer detection is proposed and experimentally verified on different breast phantoms. This has the potential to achieve superior resolution for breasts with a high volumet
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Pelicano, Ana Catarina, Maria C. T. Gonçalves, Daniela M. Godinho, et al. "Development of 3D MRI-Based Anatomically Realistic Models of Breast Tissues and Tumours for Microwave Imaging Diagnosis." Sensors 21, no. 24 (2021): 8265. http://dx.doi.org/10.3390/s21248265.

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Breast cancer diagnosis using radar-based medical MicroWave Imaging (MWI) has been studied in recent years. Realistic numerical and physical models of the breast are needed for simulation and experimental testing of MWI prototypes. We aim to provide the scientific community with an online repository of multiple accurate realistic breast tissue models derived from Magnetic Resonance Imaging (MRI), including benign and malignant tumours. Such models are suitable for 3D printing, leveraging experimental MWI testing. We propose a pre-processing pipeline, which includes image registration, bias fie
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Caragacianu, Diana L., Xiaohui Liu, Isaiah Norton, et al. "Distinctive lipid profiles of human breast cancer and adjacent normal tissues by desorption electrospray ionization mass spectrometry imaging." Journal of Clinical Oncology 31, no. 15_suppl (2013): 1132. http://dx.doi.org/10.1200/jco.2013.31.15_suppl.1132.

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1132 Background: Routine intra-operative distinction between normal breast tissue and tumor is currently not possible in breast conserving surgery (BCS). This limitation affects the success of surgery, resulting in up to 40% requiring more than one operative procedure. Desorption electrospray ionization mass spectrometry (DESI MS) has been successfully used to discriminate between normal and cancerous human tissues from anatomical sites such as the liver and brain. The aim of this proof of concept study was to determine the feasibility of using DESI MS imaging for tissue identification and dif
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Łuczyńska, Elżbieta, Marta Pawlak, Tadeusz Popiela, and Wojciech Rudnicki. "The role of ABUS in the diagnosis of breast cancer." Journal of Ultrasonography 22, no. 89 (2022): 76–85. http://dx.doi.org/10.15557/jou.2022.0014.

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Breast cancer, which is the most common cancer in women, is a major problem both in Poland and worldwide. Mammography remains the primary screening method. However, the sensitivity of mammographic screening is lower in women with dense glandular breasts due to tissue overlap and the effect of the glandular tissue obscuring the tumor and the fact that tumors and glandular tissue show similar X-ray absorption. Consequently, other methods are being sought to increase breast cancer detection rates. Currently, the most common and used methods are ultrasonography, magnetic resonance imaging and adva
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Chan, Si-Wa, Yung-Chieh Chang, Po-Wen Huang, et al. "Breast Tumor Detection and Classification Using Intravoxel Incoherent Motion Hyperspectral Imaging Techniques." BioMed Research International 2019 (July 28, 2019): 1–15. http://dx.doi.org/10.1155/2019/3843295.

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Breast cancer is a main cause of disease and death for women globally. Because of the limitations of traditional mammography and ultrasonography, magnetic resonance imaging (MRI) has gradually become an important radiological method for breast cancer assessment over the past decades. MRI is free of the problems related to radiation exposure and provides excellent image resolution and contrast. However, a disadvantage is the injection of contrast agent, which is toxic for some patients (such as patients with chronic renal disease or pregnant and lactating women). Recent findings of gadolinium d
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Rispoli, Joseph V., Steven M. Wright, Craig R. Malloy, and Mary P. McDougall. "Automated modification and fusion of voxel models to construct body phantoms with heterogeneous breast tissue: Application to MRI simulations." Journal of Biomedical Graphics and Computing 7, no. 1 (2017): 1. http://dx.doi.org/10.5430/jbgc.v7n1p1.

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Background: Human voxel models incorporating detailed anatomical features are vital tools for the computational evaluation of electromagnetic (EM) fields within the body. Besides whole-body human voxel models, phantoms representing smaller heterogeneous anatomical features are often employed; for example, localized breast voxel models incorporating fatty and fibroglandular tissues have been developed for a variety of EM applications including mammography simulation and dosimetry, magnetic resonance imaging (MRI), and ultra-wideband microwave imaging. However, considering wavelength effects, el
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Park, Dae Woo. "Ultrasound Shear Wave Simulation of Breast Tumor Using Nonlinear Tissue Elasticity." Computational and Mathematical Methods in Medicine 2016 (2016): 1–6. http://dx.doi.org/10.1155/2016/2541325.

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Shear wave elasticity imaging (SWEI) can assess the elasticity of tissues, but the shear modulus estimated in SWEI is often less sensitive to a subtle change of the stiffness that produces only small mechanical contrast to the background tissues. Because most soft tissues exhibit mechanical nonlinearity that differs in tissue types, mechanical contrast can be enhanced if the tissues are compressed. In this study, a finite element- (FE-) based simulation was performed for a breast tissue model, which consists of a circular (D: 10 mm, hard) tumor and surrounding tissue (soft). The SWEI was perfo
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