Literature DB >> 23098517

Clinical outcome of breast cancer BI-RADS 4 lesions during 2003-2008 in the National Cancer Institute Thailand.

Arkom Chaiwerawattana1, Somchai Thanasitthichai, Sarawan Boonlikit, Chanin Apiwanich, Suvipapan Worawattanakul, Anothai Intakawin, Supattra Rakiad, Kanchana Thongkham.   

Abstract

To determine the clinical outcome of breast cancer BI-RADS 4 lesions and seek a more effective management guideline, we conducted a retrospective study of all BI-RADS4 patients diagnosed between 2003-2008 with follow up time not less than 2 years. A total of 392 cases of BI-RADS 4 were identified and 320 could be sub-categorised as 4a, 4b and 4c. Overall malignant positive results were 7.65, 38.7 and 58.percent, respectively. In all cases assigned to the close follow up group, no malignancy was detectable (P<0.02). The results of the study suggested that BI-RADS sub-categories have benefit for cancer diagnosis and treatment decisions of clinicians and it might be possible to set up a safe follow-up guideline in selected groups of patients to minimize un-necessary tissue biopsy for breast cancer detection.

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Year:  2012        PMID: 23098517     DOI: 10.7314/apjcp.2012.13.8.4063

Source DB:  PubMed          Journal:  Asian Pac J Cancer Prev        ISSN: 1513-7368


  8 in total

1.  Can strain elastography combined with ultrasound breast imaging reporting and data system be a more effective method in the differentiation of benign and malignant breast lesions?

Authors:  Serdar Arslan; Nihal Uslu; Funda Ulu Ozturk; Eda Yilmaz Akcay; Tugan Tezcaner; Ahmet Muhtesem Agildere
Journal:  J Med Ultrason (2001)       Date:  2017-02-02       Impact factor: 1.314

2.  The Positive Predictive Values of the Breast Imaging Reporting and Data System (BI-RADS) 4 Lesions and its Mammographic Morphological Features.

Authors:  Suvendu Kumar Mohapatra; Abhisek Mishra; Tapan Kumar Sahoo; Rashmita Binod Nayak; Prafulla Kumar Das; Bhagyalaxmi Nayak
Journal:  Indian J Surg Oncol       Date:  2021-01-11

3.  Prediction for Breast Cancer in BI-RADS Category 4 Lesion Categorized by Age and Breast Composition of Women in Songklanagarind Hospital.

Authors:  Seechad Noonpradej; Piyanun Wangkulangkul; Piyanoot Woodtichartpreecha; Suphawat Laohawiriyakamol
Journal:  Asian Pac J Cancer Prev       Date:  2021-02-01

4.  Comparison of clinicopathological findings among patients whose mammography results were classified as category 4 subgroups of the BI-RADS.

Authors:  Ihsan Metin Leblebici; Suleyman Bozkurt; Turgut Tunc Eren; Ibrahim Ali Ozemir; Julide Sagiroglu; Orhan Alimoglu
Journal:  North Clin Istanb       Date:  2014-08-03

Review 5.  [Radio-histological correlation of ACR4 microcalcifications in breast lesions: about 181 cases and literature review].

Authors:  Ahmed Guennoun; Yousra Krimou; Chahrazed Bouchikhi; Nisrine Mamouni; Sanaa Errarhay; Abdelaziz Banani
Journal:  Pan Afr Med J       Date:  2018-03-02

6.  Contrast-enhanced spectral mammography: A potential exclusion diagnosis modality in dense breast patients.

Authors:  Yun Qin; Ying Liu; Xueqin Zhang; Shuang Zhao; Huanhuan Zhong; Juan Huang; Jianqun Yu
Journal:  Cancer Med       Date:  2020-02-19       Impact factor: 4.452

7.  Diagnostic value of artificial intelligence automatic detection systems for breast BI-RADS 4 nodules.

Authors:  Shu-Yi Lyu; Yan Zhang; Mei-Wu Zhang; Bai-Song Zhang; Li-Bo Gao; Lang-Tao Bai; Jue Wang
Journal:  World J Clin Cases       Date:  2022-01-14       Impact factor: 1.337

8.  Clinical Value of Contrast-Enhanced Ultrasound in Breast Cancer Diagnosis.

Authors:  Yingying Yuan; Ming Xu; Yi Ren; Lili He; Jiejie Chen; Li Sun
Journal:  Comput Math Methods Med       Date:  2022-09-05       Impact factor: 2.809

  8 in total

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