Literature DB >> 18716090

Application of sonographic BI-RADS to synchronous breast nodules detected in patients with breast cancer.

Suk Jung Kim1, Eun Young Ko, Jung Hee Shin, Seok Seon Kang, Sung Hee Mun, Boo-Kyung Han, Eun Yoon Cho.   

Abstract

OBJECTIVE: The purpose of this study was to evaluate the applicability of the current BI-RADS for sonography to the assessment of synchronous breast nodules other than the primary malignant tumor in patients with breast cancer.
MATERIALS AND METHODS: One hundred eighty-nine synchronous nodules in 147 breast cancer patients were surgically excised after localization, and 412 synchronous nodules in 191 patients were observed or biopsied or excised without localization. Among a total of 601 synchronous nodules, 372 nodules were ipsilateral and 229 were contralateral to a primary malignant tumor. Two radiologists retrospectively reviewed sonograms of these nodules and determined the sonographic BI-RADS category without clinical information or pathologic results. For each nodule, the preoperative BI-RADS category and pathologic or follow-up results were compared.
RESULTS: Four hundred eighty-two nodules were classified category 3; 112 nodules, category 4; and seven nodules, category 5. Fifty-five (11.4%) of the category 3 nodules and 57 (47.9%) of the category 4 and 5 nodules were confirmed malignant. Thirty-six (21.2%) of 170 category 3 synchronous nodules in the same quadrant as the primary tumor were confirmed malignant, as were 12 (9.8%) of 122 nodules in a different quadrant and eight (4.2%) of 190 nodules in the contralateral breast.
CONCLUSION: For assessment of synchronous nodules in breast cancer patients, application of conventional screening sonographic BI-RADS categories may not account for possible increased risk of malignancy in synchronous nodules, especially those in the same quadrant of the breast as the index malignant tumor.

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Year:  2008        PMID: 18716090     DOI: 10.2214/AJR.07.2861

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  10 in total

1.  Growing BI-RADS category 3 lesions on follow-up breast ultrasound: malignancy rates and worrisome features.

Authors:  Su Min Ha; Eun Young Chae; Joo Hee Cha; Hee Jung Shin; Woo Jung Choi; Hak Hee Kim
Journal:  Br J Radiol       Date:  2018-04-25       Impact factor: 3.039

Review 2.  BI-RADS 3 on Screening Breast Ultrasound: What Is It and What Is the Appropriate Management?

Authors:  Wendie A Berg
Journal:  J Breast Imaging       Date:  2021-08-15

3.  Probably benign lesions at screening breast US in a population with elevated risk: prevalence and rate of malignancy in the ACRIN 6666 trial.

Authors:  Richard G Barr; Zheng Zhang; Jean B Cormack; Ellen B Mendelson; Wendie A Berg
Journal:  Radiology       Date:  2013-10-28       Impact factor: 11.105

4.  Clinical Data as an Adjunct to Ultrasound Reduces the False-Negative Malignancy Rate in BI-RADS 3 Breast Lesions.

Authors:  S Ackermann; C-A Schoenenberger; R Zanetti-Dällenbach
Journal:  Ultrasound Int Open       Date:  2016-07-19

5.  Sonographic Evaluation of Incidental Synchronous Masses in Patients with Breast Cancer: Clinical Significance and Diagnostic Workup.

Authors:  Sara Rehman; Imran Khalid Niazi; Muhammad Atif Naveed; Ainy Javaid; Bushra Rehman
Journal:  Eur J Breast Health       Date:  2020-12-24

6.  Breast Imaging Reporting and Data System Category 3 Lesions Detected on Whole-Breast Screening Ultrasound.

Authors:  Sang Yu Nam; Eun Young Ko; Boo-Kyung Han; Jung Hee Shin; Eun Sook Ko; Soo Yeon Hahn
Journal:  J Breast Cancer       Date:  2016-09-23       Impact factor: 3.588

7.  B-mode ultrasound diagnostic flowchart for solid breast masses: JABTS BC-01 study.

Authors:  Takanori Watanabe; Takuhiro Yamaguchi; Eriko Tohno; Hiroko Tsunoda; Setsuko Kaoku; Kanako Ban; Ryoji Watanabe; Takeshi Umemoto; Koichi Hirokaga; Toshikazu Ito
Journal:  J Med Ultrason (2001)       Date:  2021-01-03       Impact factor: 1.314

8.  Classification of MR-Detected Additional Lesions in Patients With Breast Cancer Using a Combination of Radiomics Analysis and Machine Learning.

Authors:  Hyo-Jae Lee; Anh-Tien Nguyen; So Yeon Ki; Jong Eun Lee; Luu-Ngoc Do; Min Ho Park; Ji Shin Lee; Hye Jung Kim; Ilwoo Park; Hyo Soon Lim
Journal:  Front Oncol       Date:  2021-12-02       Impact factor: 6.244

9.  CEUS helps to rerate small breast tumors of BI-RADS category 3 and category 4.

Authors:  Jian-xing Zhang; Li-shan Cai; Ling Chen; Jiu-long Dai; Guang-hui Song
Journal:  Biomed Res Int       Date:  2014-05-25       Impact factor: 3.411

10.  Positive predictive value of additional synchronous breast lesions in whole-breast ultrasonography at the diagnosis of breast cancer: clinical and imaging factors.

Authors:  Ah Hyun Kim; Min Jung Kim; Eun-Kyung Kim; Byeong-Woo Park; Hee Jung Moon
Journal:  Ultrasonography       Date:  2014-02-25
  10 in total

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