Zobrazeno 1 - 10
of 567
pro vyhledávání: '"Architectural distortion"'
Publikováno v:
Indian Journal of Radiology and Imaging, Vol 34, Iss 04, Pp 677-687 (2024)
Nonmass lesions in breast ultrasound (US) are areas of altered echogenicity without definite margins or mass effect. However, these lesions may show calcifications, associated architectural distortion, or shadowing just like masses. They vary in thei
Externí odkaz:
https://doaj.org/article/e761481b8dc24bb6b5805de55f80e0bb
Autor:
Rupa Renganathan, Prema Subramaniam, Adrija Mandal, P. Suganya, Jeevithan Shanmugam, Mathew Cherian
Publikováno v:
The Egyptian Journal of Radiology and Nuclear Medicine, Vol 54, Iss 1, Pp 1-10 (2023)
Abstract Background Incidence of malignancy in architectural distortion (AD) is variable, and as a standard of care, all the architectural distortions are biopsied. It is important to identify benign and malignant characteristics of ADs on imaging to
Externí odkaz:
https://doaj.org/article/ab5b1c8f216b4f51bfc2dc0b2b313dad
Akademický článek
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Autor:
Claudia B. Corona-Gonzalez, Beatriz E. Gonzalez-Ulloa, David F. Perez-Montemayor, Guillermo E. Juarez-Lopez
Publikováno v:
Journal of the Mexican Federation of Radiology and Imaging, Vol 2, Iss 3 (2023)
Introduction: The usefulness of contrast enhanced mammography (CEM) for assessing architectural distortion (AD) has not been defined. This study aimed to determine the diagnostic accuracy of AD enhancement on CEM for predicting malignancy and its his
Externí odkaz:
https://doaj.org/article/a54d0fd4561741c38996ed09f29914ef
Publikováno v:
Life and Science, Vol 5, Iss 1, Pp 06-06 (2024)
Objective: The study aims to determine the diagnostic accuracy of digital breast tomosynthesis in diagnosing malignant and benign lesions, keeping histopathology as the gold standard. Study Design: Cross-sectional study. Place and Duration of Study:
Externí odkaz:
https://doaj.org/article/b05db2354c764b538e39e258aed0b7c5
Akademický článek
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K zobrazení výsledku je třeba se přihlásit.
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Autor:
Yuanyuan Liu, Yunfei Tong, Yun Wan, Ziqiang Xia, Guoyan Yao, Xiaojing Shang, Yan Huang, Lijun Chen, Daniel Q. Chen, Bo Liu
Publikováno v:
Frontiers in Oncology, Vol 13 (2023)
BackgroundArchitectural distortion (AD) is a common imaging manifestation of breast cancer, but is also seen in benign lesions. This study aimed to construct deep learning models using mask regional convolutional neural network (Mask-RCNN) for AD ide
Externí odkaz:
https://doaj.org/article/82ba52c5fffb48a39a98951cc314f9e3
Autor:
Xiao Chen, Yang Zhang, Jiahuan Zhou, Xiao Wang, Xinmiao Liu, Ke Nie, Xiaomin Lin, Wenwen He, Min-Ying Su, Guoquan Cao, Meihao Wang
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
PurposeTo implement two Artificial Intelligence (AI) methods, radiomics and deep learning, to build diagnostic models for patients presenting with architectural distortion on Digital Breast Tomosynthesis (DBT) images.Materials and MethodsA total of 2
Externí odkaz:
https://doaj.org/article/0aa3dc1e0f3c4d2abbeb529469efc4d6
Publikováno v:
Indian Journal of Radiology and Imaging, Vol 31, Iss 03, Pp 551-559 (2021)
Background Lobular carcinoma in situ (LCIS) is a noninvasive neoplasm that is known to have an increased relative risk for developing subsequent invasive breast carcinoma. Pure LCIS is usually an incidental finding on histopathological examination (H
Externí odkaz:
https://doaj.org/article/be8f5dd0675940c8b3ca4cfecd4c02b0
Autor:
Giovanna Romanucci, Francesca Fornasa, Andrea Caneva, Claudia Rossati, Marta Mandarà, Oscar Tommasini, Rossella Rella
Publikováno v:
Journal of Imaging, Vol 9, Iss 5, p 103 (2023)
Objective: to determine the positive predictive value (PPV) of tomosynthesis (DBT)-detected architectural distortions (ADs) and evaluate correlations between AD’s imaging characteristics and histopathologic outcomes. Methods: biopsies performed bet
Externí odkaz:
https://doaj.org/article/c0840824528440fab687680596871998