Relevant bibliographies by topics / Breast Imaging and Reporting Data System

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

Academic literature on the topic 'Breast Imaging and Reporting Data System'

Author: Grafiati
Published: 5 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Breast Imaging and Reporting Data System"

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Berg, Wendie A., Cristina Campassi, Patricia Langenberg, and Mary J. Sexton. "Breast Imaging Reporting and Data System." American Journal of Roentgenology 174, no. 6 (2000): 1769–77. http://dx.doi.org/10.2214/ajr.174.6.1741769.

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Om, Prakash Rathore, Solanki Dinesh, Choudhary Manish, Sharma Tarun, and P. Toshniwal H. "Ultrasonographic Breast Imaging-Reporting and Data System (BIRADS): Radiologic-Pathological Correlation." International Journal of Pharmaceutical and Clinical Research 15, no. 5 (2023): 229–35. https://doi.org/10.5281/zenodo.12552116.

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<strong>Background:</strong>&nbsp;Breast cancer is the leading cause of cancer deaths among women worldwide. Breast cancer clinically presents as breast lump. Biopsy/Fine needle aspiration cytology (FNAC) and breast ultrasound is pivotal in characterization of a breast lump as benign and malignant lesion. Despite advances in modern investigations, accurate diagnosis is challenge. Delay in diagnosis may leads to Morbidity and mortality. Early diagnosis of breast lump reducing health care costs and also morbidity and mortality of patients. BI-RADS (Breast Imaging-Reporting and Data System) are a
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Liberman, Laura, and Jennifer H. Menell. "Breast imaging reporting and data system (BI-RADS)." Radiologic Clinics of North America 40, no. 3 (2002): 409–30. http://dx.doi.org/10.1016/s0033-8389(01)00017-3.

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Tardivon, Anne A., Alexandra Athanasiou, Fabienne Thibault, and Carl El Khoury. "Breast imaging and reporting data system (BIRADS): Magnetic resonance imaging." European Journal of Radiology 61, no. 2 (2007): 212–15. http://dx.doi.org/10.1016/j.ejrad.2006.08.036.

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Evans, A. "Breast Imaging Reporting and Data Systems." Breast 3, no. 2 (1994): 132. http://dx.doi.org/10.1016/0960-9776(94)90019-1.

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Humayun, Saba, Muhammad Asif, Muhammad Tahir Khadim, Hafeez Ud Din, Madeeha Anwar, and Farhat Rashid. "Comparison of Breast Biopsy Pathology Reporting with Breast Imaging Reporting and Data System (Bi-Rads) Categories-An Institutional Study." Pakistan Armed Forces Medical Journal 72, SUPPL-2 (2022): S186–90. http://dx.doi.org/10.51253/pafmj.v72isuppl-2.3496.

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Objective: To determine concordance and discordance between radiological and pathological findings of palpable breast lesions.&#x0D; Study Design: Comparative cross-sectional study.&#x0D; Place and Duration of Study: Department of Histopathology, Armed Forces Institute of Pathology, Rawalpindi Pakistan, from Oct 2018 to Mar 2019.&#x0D; Methodology: Imaging and histopathologic reports of a total of 170 female patients with breast lumps were analyzed. Concordance and discordance rates were estimated by comparing histopathology and imaging findings. All the reports were divided into four categori
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Aziz, Suraya, Muhammad Afiq Mohamad, and Reena Rahayu Md Zin. "Histopathological Correlation of Breast Carcinoma with Breast Imaging-Reporting and Data System." Malaysian Journal of Medical Sciences 29, no. 4 (2022): 65–74. http://dx.doi.org/10.21315/mjms2022.29.4.7.

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Background: Breast cancer is one of the commonest malignancy cancer worldwide and the Breast Imaging-Reporting and Data System (BI-RADS) classification has been extensively utilised as an adjunct to histopathological examination for malignant breast diseases. This study aims to analyse the concordance between radiological and histopathological findings, demonstrate the high predictive value in the BI-RADS category and evaluate the impact of these findings on surgical intervention and treatment outcome. Methods: This is a single-centre retrospective study, analysing patients who underwent radio
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Sedgwick, Emily. "The Breast Ultrasound Lexicon: Breast Imaging Reporting and Data System (BI-RADS)." Seminars in Roentgenology 46, no. 4 (2011): 245–51. http://dx.doi.org/10.1053/j.ro.2011.04.001.

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Tardivon, Anne A., Alexandra Athanasiou, Fabienne Thibault, and Carl El Khoury. "Breast imaging and reporting data system (BIRADS) magnetic resonance imaging illustrated cases." European Journal of Radiology 61, no. 2 (2007): 216–23. http://dx.doi.org/10.1016/j.ejrad.2006.08.037.

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Lee, Karen A. "Breast Imaging Reporting and Data System Category 3 for Magnetic Resonance Imaging." Topics in Magnetic Resonance Imaging 23, no. 6 (2014): 337–44. http://dx.doi.org/10.1097/rmr.0000000000000037.

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Dissertations / Theses on the topic "Breast Imaging and Reporting Data System"

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Moraes, Paula de Camargo. "Variação entre observadores na aplicação dos critérios morfológicos e cinéticos propostos pelo BI-RADS® (Breast Imaging Reporting and Data System) para ressonância magnética das mamas." Universidade de São Paulo, 2008. http://www.teses.usp.br/teses/disponiveis/5/5151/tde-25062008-151029/.

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OBJETIVO. O objetivo deste estudo foi verificar a variação entre observadores, com diferentes graus de treinamento em RM das mamas, na aplicação dos critérios morfológicos e cinéticos propostos pelo BI-RADS® para descrever os realces na RM. Também, buscou-se avaliar a importância desta variação sobre a categorização final e a conduta sugerida, antes e após o conhecimento dos dados clínicos e dos demais exames de imagem pertinentes a cada caso. MÉTODOS. 109 realces, sendo 36 malignos, em 96 mulheres, foram interpretados por quatro radiologistas, divididos em duas duplas de acordo com a experiên
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Borkowetz, Angelika, Ivan Platzek, Marieta Toma, et al. "Evaluation of Prostate Imaging Reporting and Data System Classification in the Prediction of Tumor Aggressiveness in Targeted Magnetic Resonance Imaging/Ultrasound-Fusion Biopsy." Karger, 2017. https://tud.qucosa.de/id/qucosa%3A70625.

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Objectives: The study aimed to evaluate the prediction of Prostate Imaging Reporting and Data System (PI-RADS) with respect to the prostate cancer (PCa) detection rate and tumor aggressiveness in magnetic resonance imaging (MRI)/ultrasound-fusion-biopsy (fusPbx) and in systematic biopsy (sysPbx). Materials and Methods: Six hundred and twenty five patients undergoing multiparametric MRI were investigated. MRI findings were classified using PI-RADS v1 or v2. All patients underwent fusPbx combined with sysPbx (comPbx). The lesion with the highest PI-RADS was defined as maximum PI-RADS (maxPI-RADS
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Terning, Fredrik, Anna Ahl, and Sofie Söderström. "Datorbaserad rapportering av biverkningar och symptom vid cytostatikabehandlad avancerad bröstcancer." Thesis, Uppsala University, Department of Public Health and Caring Sciences, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-112554.

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<p>Syftet är att beskriva symtom och biverkningar som kvinnor med avancerad bröstcancer och cytostatikabehandling rapporterat i ett datoriserat rapporteringssystem före läkarbesök. Undersöka tillfredsställelsen med detta system; se om det finns en skillnad mellan äldre och yngre; undersöka kvinnornas uppfattning om vad som kan förbättras i uppföljningen av symtom/biverkningar samt stödet från läkare. Detta är en kvantitativ, deskriptiv tvärsnittsstudie baserat på rapporteringssystemets databas samt enkätundersökning.</p><p> </p><p>Biverkningarna trötthet, smärta och nervpåverkan rapporterades
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Moraes, M?rcia Cristina Gon?alves de Oliveira. "O estudo da acur?cia da resson?ncia magn?tica multiparam?trica no diagn?stico do c?ncer de pr?stata." Pontif?cia Universidade Cat?lica do Rio Grande do Sul, 2017. http://tede2.pucrs.br/tede2/handle/tede/8227.

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Submitted by PPG Medicina e Ci?ncias da Sa?de (medicina-pg@pucrs.br) on 2018-07-20T19:52:55Z No. of bitstreams: 1 M?RCIA_CRISTINA_GON?ALVES_DE_OLIVEIRA_MARAES.pdf: 3458644 bytes, checksum: 005c22fed45246220ed1f2e0de9490a9 (MD5)<br>Approved for entry into archive by Sheila Dias (sheila.dias@pucrs.br) on 2018-07-30T12:47:18Z (GMT) No. of bitstreams: 1 M?RCIA_CRISTINA_GON?ALVES_DE_OLIVEIRA_MARAES.pdf: 3458644 bytes, checksum: 005c22fed45246220ed1f2e0de9490a9 (MD5)<br>Made available in DSpace on 2018-07-30T12:58:07Z (GMT). No. of bitstreams: 1 M?RCIA_CRISTINA_GON?ALVES_DE_OLIVEIRA_MARAES.pdf:
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"Development of an Integrated SPECT-CmT Dedicated Breast Imaging System Incorporating Novel Data Acquisition and Patient Bed Designs." Diss., 2010. http://hdl.handle.net/10161/2268.

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Crotty, Dominic. "Development of an Integrated SPECT-CmT Dedicated Breast Imaging System Incorporating Novel Data Acquisition and Patient Bed Designs." Diss., 2010. http://hdl.handle.net/10161/2268.

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<p>This thesis research builds upon prior work that developed separate SPECT and CT (computed mammotomography, or breast CT) devices that were independently capable of imaging an uncompressed breast in 3D space. To further develop the system as a clinically viable device, it was necessary to integrate the separate imaging systems onto a single gantry, and to simultaneously design a patient-friendly bed that could routinely and effectively position the patient during dual-modality imaging of her uncompressed breast in the system's common field of view. This thesis describes this process and als
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Books on the topic "Breast Imaging and Reporting Data System"

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J, D'Orsi Carl, American College of Radiology, and American College of Radiology. BI-RADS Committee, eds. Illustrated breast imaging reporting and data system (illustrated BI-RADS). 3rd ed. American College of Radiology, 1998.

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D’Orsi, Carl. Breast Imaging Reporting and Data System (BI-RADS). Edited by Christoph I. Lee, Constance D. Lehman, and Lawrence W. Bassett. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190270261.003.0005.

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This chapter, devoted to the Breast Imaging Reporting and Data System (BI-RADS), describes the standardized language applied to findings in mammography, breast ultrasound, and breast MRI. BI-RADS terms most frequently used are described, and most are illustrated by figures. In addition, the rules for a facility and radiologist audit are described, with definitions of true positive (TP), false positive (FP), true negative (TN), and false negative (FN) findings. Sensitivity (Se), specificity (Sp), positive predictive values 1, 2, and 3 (PPV1, 2, 3), and cancer detection rate are defined. An exam
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Bjørnerheim, Reidar, Genevieve Derumeaux, and Andrzej Gackowski. Digital echocardiography laboratory. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198726012.003.0017.

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Modern digital echo laboratories are based on echo scanners working in a network with file server(s) and work-station computers for offline analysis and reporting. They may be based on vendor-specific software, but are preferably based on vendor-independent software solutions, being able to handle data from all brands of scanners. To enable analysis of advanced echocardiographic techniques, plug-ins for vendor-specific solutions should be integrated in the otherwise vendor-independent software. To obtain full efficiency, the system should be integrated with the hospital information system for
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Book chapters on the topic "Breast Imaging and Reporting Data System"

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Sanchez-Vivar, Eloisa Asia, and Isabel Alvarado-Cabrero. "Radiology of the Normal Breast and Overview of Breast Imaging Reporting and Data System." In Practical Atlas of Breast Pathology. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-93257-6_2.

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Muscogiuri, Giuseppe, Mattia Chiesa, Claudio Cau, et al. "Artificial Intelligence-Based Coronary Artery Disease Reporting and Data System (CAD-RADS)." In Artificial Intelligence in Cardiothoracic Imaging. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-92087-6_26.

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Venderink, Wulphert, and Jurgen J. Fütterer. "Reading and Reporting Standards: The Prostate Imaging Reporting and Data System—What Is It and What Can It Do?" In Imaging and Focal Therapy of Early Prostate Cancer. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-49911-6_12.

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Foster, Bryan R., and Antonio C. Westphalen. "Interpretation of Multiparametric MRI Using PI-RADS (Prostate Imaging-Reporting and Data System)." In Prostate MRI Essentials. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45935-2_7.

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Li, Yinhao, Qingqing Chen, Rahul Kumar Jain, et al. "Enhanced Liver Imaging Reporting and Data System (LI-RADS) Through Multi-task Convolutional Neural Networks." In Intelligent Systems Reference Library. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-65430-5_10.

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Panda, Ananya, and Vikas Gulani. "Multiparametric MRI of Prostate: Analysis and Recommendations of Prostate Imaging Reporting and Data System (PI-RADS) Version 2.1." In Reading MRI of the Prostate. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-99357-7_4.

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Dundar, Ilyas. "Imaging in Bladder Tumors." In The Radiology of Cancer. Nobel Tip Kitabevleri, 2024. http://dx.doi.org/10.69860/nobel.9786053359364.18.

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The bladder is a flexible, hollow pyramidal-shaped organ surrounded by pelvic fat located in the extraperitoneal space. The layers of the bladder wall, from the inside out, include the uroepithelium (mucosa), lamina propria (submucosa), muscularis propria, and adventitia. Mucosa consists of flexible transitional cell layers and changes shape when the bladder is stretched. Within the bladder, the uroepithelium is composed of layers of transitional cells, which have the potential to undergo benign or malignant tumor formation. Primary tumors most commonly (90%-95%) originate from the uroepitheli
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Fowler, Kathryn J., Guilherme M. Cunha, Victoria Chernyak, and Claude B. Sirlin. "Should All Liver Lesions in Patients with Cirrhosis Be Characterized and Reported Using Liver Imaging Reporting and Data System Criteria?" In Controversies in Hepatocellular Carcinoma. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-90225-3_12.

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Vargas, Alberto, Patrick Asbach, and Bernd Hamm. "Magnetic Resonance Imaging of the Prostate in the PI-RADS Era." In IDKD Springer Series. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-27355-1_16.

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AbstractOngoing technical innovation in combination with a broad research activity has resulted in increased adoption and widespread utilization of magnetic resonance imaging (MRI) of the prostate. The Prostate Imaging Reporting and Data System (PI-RADS), first introduced in 2012 and subsequently updated in 2015 and 2019, standardized image acquisition and reporting and facilitated the communication of imaging findings to referring physician teams and is now considered an obligatory key element in prostate MRI. This has had a tremendous impact on the diagnostic workup of patients with suspecte
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Swift, Sarah, and Sungmin Woo. "Adnexal Diseases." In IDKD Springer Series. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-27355-1_15.

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AbstractAdnexal masses may present as symptomatic lesions or be discovered incidentally during radiological examinations. The questions asked of radiologists are firstly, what is the nature of the mass and secondly, does it need to be removed and if so, how? Multidisciplinary discussion is to plan patient management and aim to avoid the two scenarios of simple resection of an ovarian cancer and major debulking surgery for benign disease.Ultrasound (US) is excellent for characterisation of many common benign pathologies, but benign disease can present with complex appearances that are sonograph
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Conference papers on the topic "Breast Imaging and Reporting Data System"

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Kandula, Praveena, T. S. Cook, W. W. Boonn, and W. Kim. "Automated breast imaging-reporting and data system (BI-RADS) category 3 follow-up application: improving patient care and compliance." In SPIE Medical Imaging, edited by William W. Boonn and Brent J. Liu. SPIE, 2011. http://dx.doi.org/10.1117/12.880467.

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Azouz, Eya, Haithem Aloui, Hatem Frikha, Ferdaous Ouasli, Rachid Hentati, and Rami Hammami. "EV029/#797 Category four of the breast imaging reporting and data system advantages of dividing into three subgroups." In IGCS 2024 Annual Meeting Abstracts. BMJ Publishing Group Ltd, 2024. http://dx.doi.org/10.1136/ijgc-2024-igcs.148.

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Auler, Rômulo Felipe, Thiago Brusa da Costa Linn, Liliane Salvador, Ramon Henrique Auler, and Andréa Pires Souto Damin. "Analysis of the accuracy of imaging exams for the detection of malignant breast lesions." In XXVI Brazilian Mastology Congress. Mastology, 2024. https://doi.org/10.29289/259453942024v34s2058.

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Introduction: Breast cancer is the most prevalent neoplasm among women worldwide, with a significant impact on public health and the quality of life of women affected by this pathology. The Breast Imaging Reporting and Data System (BIRADS), led by the American College of Radiology (ACR), emerged in the 1990s as a crucial tool in the global context of reducing breast cancer mortality, offering a standardized system for the evaluation of breast images and the classification of findings, facilitating communication between radiologists and other healthcare professionals. Methodology: An ecological
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Bianco, Thais, Renata Drizlionoks, Gabrielle Fernandes de Paula Castanho, Gabriel Lucca de Oliveira Salvador, and Maria Helena Louveira. "ANALYSIS AND CORRELATION OF IMAGING FINDINGS WITH THE ANATOMOPATHOLOGICAL STUDY OF BI-RADS 4A LESIONS." In Scientifc papers of XXIII Brazilian Breast Congress - 2021. Mastology, 2021. http://dx.doi.org/10.29289/259453942021v31s1015.

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Introduction: The Breast Imaging Reporting and Data System (BI-RADS®) was developed in 1993 by the American College of Radiology to standardize reports based on imaging findings, classifying them into six categories. Its fourth edition proposed the subdivision of category 4 into three subcategories according to malignancy suspicion. Category 4A shows likelihood of malignancy between 2% and 10%, and diagnosis by biopsy is recommended. Frequent histological findings in the literature for 4A lesions include fibrocystic breast changes, fibroadenoma, columnar cell lesions with atypia, stromal scler
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Paz, Cândida Verônica de Andrade, Ianny Keruly Damião Pessoa Duarte, Eduarda Martins dos Santos, et al. "Analysis of radiological findings in treated breast cancer patients who had mammography in the state of Tocantins in 2023." In Brazilian Breast Cancer Symposium 2024. Mastology, 2024. http://dx.doi.org/10.29289/259453942024v34s1071.

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Objective: This study aimed to evaluate the results obtained in mammography in 2023 in women above 30 years old who previously had breast cancer treatment in the state of Tocantins. Methodology: This is a quantitative and comparative study of mammography results in treated breast cancer patients. It reunited data from the Cancer Information System (SISCAN/DATASUS) using biological sex, time, and location of the exam as filters, evaluating new radiological findings. Results: In 2023, 229 mammographies were done in women above 30 years of age who previously had breast cancer. It was analyzed acc
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Santos, Eduarda Martins dos, Karoline Nunes Rodrigues Viana, Cândida Verônica de Andrade Paz, et al. "Suspicious mammographic findings out of the age range recommended by Brazilian Ministry of Health." In Brazilian Breast Cancer Symposium 2024. Mastology, 2024. http://dx.doi.org/10.29289/259453942024v34s1027.

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Objective: The objective of this study was to evaluate Brazilian’s data about the results of mammography screening obtained from the systematization of the Breast Imaging-Reporting and Data System (BI-RADS) in categories 4 and 5 in women between 40–49 years old and 70–74 years old, age range not contemplated by the current recommendation of Brazilian Ministry of Health. Methodology: This is an epidemiological descriptive, quantitative, and comparative study based on analysis of the data extracted from the System of Cancer Information (SISCAN), in the period between 2019 and 2023, analyzing the
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Duarte, Ianny Keruly Damião Pessoa, Cândida Verônica de Andrade Paz, Eduarda Martins dos Santos, et al. "Epidemiologic analysis of mammographies and the pandemic impact on the early detection of neoplastic lesions in Tocantins from 2020 to 2023." In Brazilian Breast Cancer Symposium 2024. Mastology, 2024. http://dx.doi.org/10.29289/259453942024v34s1055.

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Objective: This study aimed to analyze the number of screening mammograms and the results obtained in the female population from 50 to 69 years old in the state of Tocantins during the pandemic and post-pandemic period. Methodology: This is a quantitative and comparative study from the pandemic period of 2020/2021 and the post-pandemic period of 2022/2023. Data were collected from the Cancer Information System (SISCAN/DATASUS) of women from 50 to 69 years old, comparing the mammography results from the pandemic and post-pandemic period. Results: During the pandemic, 9601 mammographies of women
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Milhomem, Monielli Muribeca Silva, Beatriz Cardoso Batista Santana, João Pedro Bezerra Arruda Léda, et al. "Epidemiological analysis of the impact of the COVID-19 pandemic on the diagnosis of breast cancer in Northern Brazil." In Brazilian Breast Cancer Symposium 2024. Mastology, 2024. http://dx.doi.org/10.29289/259453942024v34s1089.

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Objective: This study aimed to analyze Brazilian statistical data on the impact of the COVID-19 pandemic on the diagnosis of breast cancer in all age groups, served in the states of the northern region of Brazil. Methodology: This epidemiological, descriptive, quantitative, and comparative study was carried out from January 2018 to December 2021 based on the data collected from the Cancer Information System (SISCAN). Mammograms were analyzed in women in the states of the northern region of Brazil presenting suspicious lesions by the systematization Best Imaging – Reporting and Data System (BI-
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Silveira Júnior, Luiz de Paula, Maria Luiza Bessa de Paula, Luiz de Paula Silveira Neto, and Sebastião Alves Pinto. "Radioinduced breast angiosarcoma: a case report." In XXVI Brazilian Mastology Congress. Mastology, 2024. https://doi.org/10.29289/259453942024v34s2038.

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Introduction: Angiosarcomas are malignant tumors composed of neoplastic endothelial cells of blood or lymphatic vessels. They can develop in the skin, lungs, liver, or spleen, but 8% of these tumors occur in the breasts. They are classified into primary and secondary types. Primary angiosarcomas are rare tumors, with an incidence ranging from 0.04% to 0.05% of malignant breast tumors. Secondary angiosarcomas are associated with post-mastectomy lymphedema (Stewart-Treves syndrome) and those linked to post-surgical radiotherapy, whether after radical or conservative breast surgery, with an incid
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Almleida, João Ricardo Maltez de, Natália Rezende Fonseca, Gabriela Lemos Chagas, Daniel Cendon Duran, and Augusto Tufi Hassan. "POSITIVE PREDICTIVE VALUES OF THE BREAST IMAGING REPORTING AND DATA SYSTEM (BI-RADS®) CATEGORIES 4, 5, AND 0 IN MAMMOGRAPHY AND ULTRASOUND EXAMINATIONS: ANALYSIS BASED ON LOCAL CLINICAL PRACTICE." In XXIV Congresso Brasileiro de Mastologia. Mastology, 2022. http://dx.doi.org/10.29289/259453942022v32s1064.

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Introduction: The American College of Radiology (ACR) BI-RADS specifies different approaches to calculating positive predictive values (PPVs) of screening/diagnostic tests. The biopsy yield of malignancy based on tissue diagnosis (PPV3) is considered the most accurate indicator of cancer status. Nevertheless, in routine clinical practice, Brazilian physicians frequently take conduct grounded only on cytopathology and clinical follow-up, which might introduce bias when interpreting BI-RADS-derived metrics of performance. Objectives: This study aimed to analyze the PPV of BI-RADS categories 4 an
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Reports on the topic "Breast Imaging and Reporting Data System"

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Gordon, Barry. Adding Data Accessibility and Rule-Based Targeted Data Collection to the California Cancer Reporting System for Breast Cases. Defense Technical Information Center, 1998. http://dx.doi.org/10.21236/ada349603.

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MR (Diffusion-Weighted Imaging (DWI) of the Apparent Diffusion Coefficient (ADC), Clinically Feasible Profile. Chair Michael Boss, Dariya Malyarenko, and Daniel Margolis. Radiological Society of North America (RSNA) / Quantitative Imaging Biomarkers Alliance (QIBA), 2022. http://dx.doi.org/10.1148/qiba/20221215.

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The goal of a QIBA Profile is to help achieve a useful level of performance for a given biomarker. The Claim (Section 2) describes the biomarker performance and is derived from the body of scientific literature meeting specific requirements, in particular test-retest studies. The Activities (Section 3) contribute to generating the biomarker. Requirements are placed on the Actors that participate in those activities as necessary to achieve the Claim. Assessment Procedures (Section 4) for evaluating specific requirements are defined as needed to ensure acceptable performance. Diffusion-Weighted
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Thomas Austin, Evan, Paul Kang, Chinedu Mmeje, et al. Validation of PI-RADS v2 Scores at Various Non-University Radiology Practices. Science Repository, 2021. http://dx.doi.org/10.31487/j.aco.2021.02.02.

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Purpose: The purpose of this study was to validate the second version of the Prostate Imaging Reporting and Data System (PI-RADSv2) scores in predicting positive in-bore MRI-guided targeted prostate biopsy results across different non-university related institutions. The study focuses on PI-RADS v2 scoring because during the study period, PI-RADS v2.1 had not been released. Materials and Methods: This was a retrospective review of 147 patients who underwent multiparametric magnetic resonance imaging (mpMRI) of the pelvis followed by in-bore MRI-guided targeted prostate biopsy from December 201
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You might also be interested in the extended bibliographies on the topic 'Breast Imaging and Reporting Data System' for particular source types:
Journal articles
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