Literature DB >> 28242086

Ultrasound Image Classification of Ductal Carcinoma In Situ (DCIS) of the Breast: Analysis of 705 DCIS Lesions.

Takanori Watanabe1, Takuhiro Yamaguchi2, Hiroko Tsunoda3, Setsuko Kaoku4, Eriko Tohno5, Hidemitsu Yasuda6, Kanako Ban7, Koichi Hirokaga8, Kumiko Tanaka9, Takeshi Umemoto5, Toshitaka Okuno10, Yasuhisa Fujimoto11, Shuichi Nakatani12, Jun Ito13, Ei Ueno5.   

Abstract

The Japan Association of Breast and Thyroid Sonology (JABTS) proposed, in 2003, a conceptual classification system for non-mass abnormalities to be applied in addition to the conventional concept of masses, to facilitate detecting ductal carcinoma in situ (DCIS) lesions. The aim of this study was to confirm the utility of this system and to clarify the distribution of these findings in DCIS lesions. Data on 705 surgically treated DCIS lesions from 16 institutions in Japan were retrospectively reviewed. All 705 DCIS lesions could be classified according to the JABTS classification system. The most frequent findings were hypo-echoic areas in the mammary gland (48.6%), followed by solid masses (28.0%) and duct abnormalities (10.2%) or mixed masses (8.1%). Distortion (1.3%), clustered microcysts (1.4%) and echogenic foci without a hypo-echoic area (2.5%) were uncommon. These results suggest that the concept of non-mass abnormalities is useful in detecting DCIS lesions.
Copyright © 2017 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Breast cancer; Diagnosis; Ductal carcinoma in situ; Multicenter study; Ultrasound

Mesh:

Year:  2017        PMID: 28242086     DOI: 10.1016/j.ultrasmedbio.2017.01.008

Source DB:  PubMed          Journal:  Ultrasound Med Biol        ISSN: 0301-5629            Impact factor:   2.998


  9 in total

1.  A computer-assisted system for handheld whole-breast ultrasonography.

Authors:  Filip Šroubek; Michal Bartoš; Jan Schier; Zuzana Bílková; Barbara Zitová; Jan Vydra; Iva Macová; Jan Daneš; Lukáš Lambert
Journal:  Int J Comput Assist Radiol Surg       Date:  2019-01-23       Impact factor: 2.924

2.  Imaging features that distinguish pure ductal carcinoma in situ (DCIS) from DCIS with microinvasion.

Authors:  Hongli Wang; Jinjiang Lin; Jianguo Lai; Cui Tan; Yaping Yang; Ran Gu; Xiaofang Jiang; Fengtao Liu; Yue Hu; Fengxi Su
Journal:  Mol Clin Oncol       Date:  2019-07-03

Review 3.  Ductal Carcinoma in Situ: State-of-the-Art Review.

Authors:  Lars J Grimm; Habib Rahbar; Monica Abdelmalak; Allison H Hall; Marc D Ryser
Journal:  Radiology       Date:  2021-12-21       Impact factor: 11.105

4.  Ultrasonographic features of ductal carcinoma in situ: analysis of 219 lesions.

Authors:  Jun Kang Li; Huan Fan Wang; Yan He; Yong Huang; Gang Liu; Zhi Li Wang
Journal:  Gland Surg       Date:  2020-12

5.  Preoperative ultrasound radiomics analysis for expression of multiple molecular biomarkers in mass type of breast ductal carcinoma in situ.

Authors:  Linyong Wu; Yujia Zhao; Peng Lin; Hui Qin; Yichen Liu; Da Wan; Xin Li; Yun He; Hong Yang
Journal:  BMC Med Imaging       Date:  2021-05-17       Impact factor: 1.930

Review 6.  Current approach and future perspective for ductal carcinoma in situ of the breast.

Authors:  Chizuko Kanbayashi; Hiroji Iwata
Journal:  Jpn J Clin Oncol       Date:  2017-08-01       Impact factor: 3.019

7.  Finite Element Modeling of Quantitative Ultrasound Analysis of the Surgical Margin of Breast Tumor.

Authors:  Koushik Paul; Samuel Razmi; Barbara A Pockaj; Leila Ladani; Jeremy Stromer
Journal:  Tomography       Date:  2022-03-01

8.  Imaging of Noncalcified Ductal Carcinoma In Situ.

Authors:  Ashley Bragg; Rosalind Candelaria; Beatriz Adrada; Monica Huang; Gaiane Rauch; Lumarie Santiago; Marion Scoggins; Gary Whitman
Journal:  J Clin Imaging Sci       Date:  2021-06-16

9.  Characteristics of ultrasonographic images of ductal carcinoma in situ with abnormalities of the ducts.

Authors:  Kanako Ban; Hiroko Tsunoda; Takanori Watanabe; Setsuko Kaoku; Takuhiro Yamaguchi; Ei Ueno; Koichi Hirokaga; Kumiko Tanaka
Journal:  J Med Ultrason (2001)       Date:  2019-10-26       Impact factor: 1.314

  9 in total

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