Relevant bibliographies by topics / Cancer pathology

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Cancer pathology'

Author: Grafiati
Published: 28 May 2022
Last updated: 30 July 2025

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Journal articles on the topic "Cancer pathology"

1

D. Travis, William. "Lung Cancer Pathology Blueprint for Future Work." Haigan 47, no. 7 (2007): 903. http://dx.doi.org/10.2482/haigan.47.903.

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I., Ebru Cakir. "Molecular Pathology In Lung Cancer: A Brief Review." International Journal of Medical Reviews and Case Reports 3, no. 1 (2019): 10–15. https://doi.org/10.5455/IJMRCR.MOLECULAR-PATHOLOGY-IN-LUNG-CANCER.

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Lung cancer is a heterogenous tumor which develops as a result of accumulation of multiple genetic, and epigenetic changes together with environmental pathogens. In the last decade, targetable specific molecular changes were described, and important developments in the treatment, and survival of these patients have been obtained. In recent years, with recommendations of international guidelines, analyses of molecular changes related to sensitivity to tyrosine kinase inhibitors as EGFR gene mutations , and ALK/ROS gene rearrangements have been performed in many laboratories in cases with advanc
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Salto-Tellez, Manuel, and Ian A. Cree. "Cancer taxonomy: pathology beyond pathology." European Journal of Cancer 115 (July 2019): 57–60. http://dx.doi.org/10.1016/j.ejca.2019.03.026.

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Polsdofer, Erik, and Jian Jing. "Immunohistochemistry in Small Lung Biopsies: Diagnostic Pitfalls and Challenges with Limited Panels." Journal of Experimental Pathology 5, no. 1 (2024): 61–72. http://dx.doi.org/10.33696/pathology.5.053.

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With the increasing need for targeted therapies in non-small cell lung carcinoma (NSCLC), preserving sufficient biopsy material has become essential. As most lung cancer cases are advanced or inoperable at the time of diagnosis, small biopsies, including cytology specimens, often serve as the only source of diagnostic material. Accurate subclassification of adenocarcinoma and squamous cell carcinoma in NSCLC using a limited panel including TTF1 and p63/p40 immunohistochemical (IHC) staining, as well as confirming small cell carcinoma using essential IHC markers, is critical for precise diagnos
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Park, Ji Yeon. "Evaluation of Breast Cancer Size Measurement by Computer-Aided Diagnosis (CAD) and a Radiologist on Breast MRI." Journal of Clinical Medicine 11, no. 5 (2022): 1172. http://dx.doi.org/10.3390/jcm11051172.

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Purpose: This study aimed to evaluate cancer size measurement by computer-aided diagnosis (CAD) and radiologist on breast magnetic resonance imaging (MRI) relative to histopathology and to determine clinicopathologic and MRI factors that may affect measurements. Methods: Preoperative MRI of 208 breast cancers taken between January 2017 and March 2021 were included. We evaluated correlation between CAD-generated size and pathologic size as well as that between radiologist-measured size and pathologic size. We classified size discrepancies into accurate and inaccurate groups. For both CAD and ra
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Bora, Panchali, Sanjeet Singh, Kanika Sharma, Nishant Singh, and Paramjit Singh. "ADVANCED DIAGNOSTIC AIDS IN ORAL PATHOLOGY." International Journal of Advanced Research 10, no. 08 (2022): 511–17. http://dx.doi.org/10.21474/ijar01/15204.

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Oral cancers are one of the most common cancers worldwide today. They are usually neglected by the common population when compared to systemic cancers such as the lung cancer, colon cancer etc. However, they also may be extremely fatal if left untreated even at a very initial stage of the lesion. Early detection and treatment gives the best chance for its cure. The five-year survival rate of oral cancer still remains low and delayed diagnosis is suggested to be one of the major reasons. The detection and diagnosis are currently based on clinical examination, histopathological evaluation of the
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Soon Lee, C. "Breast cancer pathology." Pathology 37, no. 5 (2005): 339–40. http://dx.doi.org/10.1080/00313020500254602.

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Travis, William D. "Lung Cancer Pathology." Clinics in Chest Medicine 41, no. 1 (2020): 67–85. http://dx.doi.org/10.1016/j.ccm.2019.11.001.

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Bergmann, Frank, Irene Esposito, Esther Herpel, and Peter Schirmacher. "Pancreatic cancer — Pathology." Chinese-German Journal of Clinical Oncology 6, no. 2 (2007): 95–101. http://dx.doi.org/10.1007/s10330-007-0034-3.

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Khanam, Wajiha, Ayeda Jehan, Rubeena Anjum, Pradakhshana Vijay, Priyanka Singh, and Ruchika Raj. "Advanced diagnostic techniques in oral pathology: A review." IP International Journal of Maxillofacial Imaging 10, no. 3 (2024): 92–95. http://dx.doi.org/10.18231/j.ijmi.2024.020.

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Oral cancer is one of the most common cancers in the world today. Oral potentially malignant disorders (OPMDs) typically occur before oral cancer, although it can be difficult to predict if an OPMD will progress to cancer. Oral cancer typically receives less public attention than systemic cancers such as lung cancer, colon cancer, etc. Even with an early diagnosis, these lesions may be fatal if left untreated. The prognosis for effective treatment is improved by early diagnosis. The diagnostic tools available to identify oral cancer in its early stages have advanced in a number of ways. This s
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Dissertations / Theses on the topic "Cancer pathology"

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Shaw, Emily Clare. "Cellular pathology and molecular diagnostics for cancer." Thesis, University of Southampton, 2017. https://eprints.soton.ac.uk/416620/.

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Recent developments in knowledge of cancer at the molecular level have led to a growing demand for tissue-based predictive analysis to inform therapeutic decision-making. Molecular parameters are also being increasingly incorporated into traditionally morphology-based diagnostic and prognostic classification systems. The resulting broader application of molecular techniques for interrogation of tissue samples requires adaptation of cellular pathology methods. A number of large-scale initiatives underway worldwide, including the Cancer Research UK Stratified Medicine Programme, are attempting t
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Kee, Francis, and 紀思思. "Molecular pathology of hepatocellular carcinoma." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2008. http://hub.hku.hk/bib/B40203785.

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Gillespie, Karen R. "Molecular pathology of mammary neoplasia." Thesis, Glasgow Caledonian University, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.243533.

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Sikkink, Stephen K. "Genetic pathology of non-small cell lung cancer." Thesis, University of Liverpool, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.250405.

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Hubbard, Alexandra Louise. "Some aspects of the molecular pathology of breast cancer." Thesis, University of Edinburgh, 1996. http://hdl.handle.net/1842/20581.

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This thesis examines some aspects of the molecular pathology of breast cancer. Disregulation of the c-erb B2 oncogene was related to several histopathological and biochemical features of breast cancer. Other genes, specifically THRA1 and urokinase plasminogen activator were investigated for disregulation and possible interaction with c-erb B2 in the biology of breast cancer. A differential PCR technique for the detection of c-erb B2 gene amplification, was tested and validated for use on paraffin embedded methacarn fixed breast cancer tissues. Tissues from 314 breast cancers and 43 control sam
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McClure, Diane. "Cell adhesion mechanisms in colon cancer." Thesis, McGill University, 1993. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=57005.

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Cell adhesion molecules are thought to have an important role in neoplastic progression as they are likely to be involved in the multiple steps of the metastatic cascade. We have focused on two adhesion molecules, E-cadherin and CD44, looking for changes in their expression in human colon cancer. The intercellular adhesion mediated by E-cadherin has been shown to be altered in cancer. We have investigated the expression of E-cadherin in normal and tumorigenic colorectal mucosa by immunohistochemistry. Tumor samples showed a down-regulation of expression correlating with the degree of tumor ded
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Cowan, William Keith. "Observations on the pathology of screen-detected mammary carcinoma." Thesis, University of Newcastle Upon Tyne, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.238784.

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Lam, King-yin Alfred, and 林敬賢. "Pathology and molecular biology of malignant thyroid tumours." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2004. http://hub.hku.hk/bib/B29867824.

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Halliday, Vanessa. "Predicting weight loss in people with cancer." Thesis, University of Nottingham, 2010. http://eprints.nottingham.ac.uk/11487/.

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Background: Malnutrition and the cachexia syndrome are common in people with cancer. A combination of reduced nutritional intake and abnormal metabolism can lead to physical and psychological disturbances which may impair quality of life and reduce survival. Improved patient outcomes are more likely if treatments and nutritional support can be initiated before significant weight loss has occurred. Methods: A three phase, mixed methods study was undertaken. The primary aim was to gain a greater understanding of the complex factors that have an effect on, and can predict, weight loss in people w
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Safuan, Sabreena. "Lymphovascular invasion in melanoma and breast cancer." Thesis, University of Nottingham, 2012. http://eprints.nottingham.ac.uk/12771/.

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The theory of metastatic cascade suggests that vasculature plays a central role in the metastatic processes by being the major route of spreading. Two main circulatory systems in the body are responsible for cancer cell dissemination; the blood vascular system and the lymphatic system. However, comparing between these circulatory systems, much less is known about lymphatic vessels, with few studies being conducted about the initial steps of metastasis. In the first part of this project, a series of 202 formalin fixed paraffin embedded (FFPE) cutaneous melanoma sections were stained with D2-40,
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Books on the topic "Cancer pathology"

1

P, O'Malley Frances, and Pinder Sarah E, eds. Breast pathology. Churchill Livingstone/Elsevier, 2006.

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Nicolini, Claudio A. Biophysics and cancer. Plenum Press, 1986.

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Lakhani, Sunil R., and Stephen B. Fox, eds. Molecular Pathology in Cancer Research. Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-6643-1.

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Cagle, Philip T., Timothy Craig Allen, Mary Beth Beasley, et al., eds. Molecular Pathology of Lung Cancer. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-3197-8.

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Tahara, Eiichi, ed. Molecular Pathology of Gastroenterological Cancer. Springer Japan, 1997. http://dx.doi.org/10.1007/978-4-431-65915-0.

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Badve, Sunil, and Yesim Gökmen-Polar, eds. Molecular Pathology of Breast Cancer. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41761-5.

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Giordano, Antonio, Alessandro Bovicelli, and Robert J. Kurman, eds. Molecular Pathology of Gynecologic Cancer. Humana Press, 2007. http://dx.doi.org/10.1007/978-1-59745-346-2.

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Loda, Massimo, Lorelei A. Mucci, Megan L. Mittelstadt, Mieke Van Hemelrijck, and Maura Bríd Cotter, eds. Pathology and Epidemiology of Cancer. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-35153-7.

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R, Lemoine Nicholas, Wright Nicholas A, and Imperial Cancer Research Fund (Great Britain), eds. The Molecular pathology of cancer. Cold Spring Harbor Laboratory Press, 1993.

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Cagle, Philip T. Molecular pathology of lung cancer. Springer, 2012.

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Book chapters on the topic "Cancer pathology"

1

Hansen, Heine H. "Pathology." In Lung Cancer. Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-76031-0_16.

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Veronesi, Umberto. "Pathology." In Breast Cancer. Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-76054-9_4.

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Anderson, M. C. "Pathology." In Ovarian Cancer. Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-642-69695-4_1.

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Al-Ahmadie, Hikmat, and Donna E. Hansel. "Pathology." In Bladder cancer. John Wiley & Sons, Ltd, 2015. http://dx.doi.org/10.1002/9781118674826.ch1.

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Compérat, Eva M., and Hikmat Al-Ahmadie. "Pathology." In Bladder Cancer. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-70646-3_4.

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Stålhammar, Gustav, Katarina Bartuma, Charlotta All-Eriksson, and Stefan Seregard. "Cancer Pathology." In Clinical Ophthalmic Oncology. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-04489-3_3.

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Bartuma, Katarina, Charlotta All-Ericsson, and Stefan Seregard. "Cancer Pathology." In Clinical Ophthalmic Oncology. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40489-4_3.

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Davis, Barbara J. "Cancer Pathology." In Encyclopedia of Systems Biology. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-9863-7_1391.

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Stålhammar, Gustav, and Stefan Seregard. "Cancer Pathology." In Clinical Ophthalmic Oncology. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-75907-9_4.

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Suster, Saul. "Pathology." In Encyclopedia of Cancer. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-27841-9_4407-2.

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Conference papers on the topic "Cancer pathology"

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Eskandari, Sania, Ali Eslamian, and Qiang Cheng. "Evaluating deep learning models for breast cancer classification: a comparative study." In Digital and Computational Pathology, edited by John E. Tomaszewski and Aaron D. Ward. SPIE, 2025. https://doi.org/10.1117/12.3047441.

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Suzuki, Hironori, Yuma Iwao, Nahoko Nagano, Takayuki Okamoto, and Hideaki Haneishi. "Initial study toward three-dimensional visualization of histopathological annotation of prostate cancer." In Digital and Computational Pathology, edited by John E. Tomaszewski and Aaron D. Ward. SPIE, 2025. https://doi.org/10.1117/12.3047196.

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Eskandari, Sania, Ali Eslamian, Nusrat Munia, Amjad Alqarni, and Qiang Cheng. "Evaluating Deep Learning Models for Breast Cancer Classification: A Comparative Study (Erratum)." In Digital and Computational Pathology, edited by John E. Tomaszewski and Aaron D. Ward. SPIE, 2025. https://doi.org/10.1117/12.3072283.

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Winzell, Filip, Ida Arvidsson, Karl Åström, et al. "Outcome prediction of prostate cancer patients on active surveillance using weakly supervised deep learning." In Digital and Computational Pathology, edited by John E. Tomaszewski and Aaron D. Ward. SPIE, 2025. https://doi.org/10.1117/12.3046323.

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Pasupuleti, Satya Sai Hemanth, Ling Ma, Xiaohu Guo, and Baowei Fei. "A spatial-spectral vision transformer model for head and neck cancer detection with hyperspectral, RGB, and synthesized RGB histologic images." In Digital and Computational Pathology, edited by John E. Tomaszewski and Aaron D. Ward. SPIE, 2025. https://doi.org/10.1117/12.3048966.

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Mali, Ankur, Adrian Kohut, and John Michael Templeton. "Chain-of-Thought for Cancer Pathology Interpretation and Summarization." In 2025 IEEE International Conference on Smart Computing (SMARTCOMP). IEEE, 2025. https://doi.org/10.1109/smartcomp65954.2025.00081.

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Hackel, D. M., M. Bagritsevich, I. Obeid, and J. Picone. "Annotation of the Fox Chase Cancer Center Digital Pathology Corpus." In 2024 IEEE Signal Processing in Medicine and Biology Symposium (SPMB). IEEE, 2024. https://doi.org/10.1109/spmb62441.2024.10842255.

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Verde, Ana Sofia Castro, José Guilherme de Almeida, Jorge Fonseca, Celso Matos, Raquel Cruz Conceição, and Nickolas Papanikolaou. "StitchPro for Computational Pathology Stitching in Patients with Prostate Cancer." In 2024 IEEE International Symposium on Biomedical Imaging (ISBI). IEEE, 2024. http://dx.doi.org/10.1109/isbi56570.2024.10635793.

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Kumar, Penumacha Naveen, Ch Nanda Krishna, and Sai Lasya Lukka. "Pathology Image Classification for Colorectal Cancer Prediction Using Experience Replay." In 2025 International Conference on Computational, Communication and Information Technology (ICCCIT). IEEE, 2025. https://doi.org/10.1109/icccit62592.2025.10927946.

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Zhao, Yujie, Sarah S. L. Chow, Robert Serafin, Elena Baraznenok, and Jonathan T. C. Liu. "Elucidating the 3D Tissue Microenvironment via Graph Neural Networks for Cancer Risk Stratification." In Bio-Optics: Design and Application. Optica Publishing Group, 2025. https://doi.org/10.1364/boda.2025.jm4a.14.

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We propose a weakly supervised graph neural network workflow that integrates 3D histological features including cell-cell interactions for risk stratification. This framework will be developed and evaluated using 3D pathology datasets of prostate cancer.
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Reports on the topic "Cancer pathology"

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Williamson, Sean. Pathology of bladder cancer. BJUI Knowledge, 2019. http://dx.doi.org/10.18591/bjuik.0135.

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Trock, Bruce J. Prostate Cancer Pathology Resource Network. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada613993.

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Trock, Bruce. Prostate Cancer Pathology Resource Network. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada566504.

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Trock, Bruce. Prostate Cancer Pathology Resource Network. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada586663.

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del Rincon, Sonia. Elucidating the Role of CKS Proteins in Breast Cancer by Combining the Disciplines of Molecular Biology, Pathology, and Biophysics. Defense Technical Information Center, 2007. http://dx.doi.org/10.21236/ada472330.

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Morimoto, Libby M. Epidemiologic, Pathologic, and Genomic Influences on Breast Cancer Outcomes. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada457884.

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99mTc SPECT-CT, Consensus QIBA Profile. Chair Yuni Dewaraja and Robert Miyaoka. Radiological Society of North America (RSNA)/Quantitative Imaging Biomarkers Alliance (QIBA), 2019. https://doi.org/10.1148/qiba/20191021.

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The quantification of 99mTc labeled biomarkers can add unique value in many different settings, ranging from clinical trials of investigation new drugs to the treatment of individual patients with marketed therapeutics. For example, goals of precision medicine include using companion radiopharmaceutical diagnostics as just-in-time, predictive biomarkers for selecting patients to receive targeted treatments, customizing doses of internally administered radiotherapeutics, and assessing responses to treatment. This Profile describes quantitative outcome measures that represent proxies of target c
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