Literature DB >> 20649064

Biopsy rate and positive predictive value for breast cancer in BI-RADS category 4 breast lesions.

Cholatip Wiratkapun1, Weeraya Bunyapaiboonsri, Bussanee Wibulpolprasert, Panuwat Lertsithichai.   

Abstract

OBJECTIVE: To examine the biopsy rate and positive predictive value (PPV) for breast cancer in lesions categorized as BI-RADS (Breast Imaging reporting and Data System) category 4. MATERIAL AND
METHOD: The medical records of patients with BIRADS 4 breast lesion diagnosed at the breast diagnostic center Ramathibodi Hospital between December 1, 2004 and December 31, 2005 were retrospectively reviewed. PPV was calculated for patients who had biopsy performed or had clinical follow-up for at least two years. The radiographic and pathological findings were compared.
RESULTS: The biopsy rate of 536 lesions categorized as BI-RADS 4 was 75% (403 of 536). Malignancy was found in 95 of 460 patients; or a PPV of 21%, PPVs for subcategories 4A, 4B and 4C, were 9%, 21% and 57%, respectively. The most common malignancy was invasive ductal carcinoma (67%). Patients with advanced age, having a clinically palpable breast mass of large size, with mammographic findings of architectural distortion and asymmetrical density were significantly associated with a higher risk of breast cancer.
CONCLUSION: PPV for malignancy in the present study was comparable to previous studies. In subcategories 4B and 4C, the malignancy rate was higher than that in subcategory 4A.

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Mesh:

Year:  2010        PMID: 20649064

Source DB:  PubMed          Journal:  J Med Assoc Thai        ISSN: 0125-2208


  8 in total

1.  Can unenhanced breast MRI be used to decrease negative biopsy rates?

Authors:  Sibel Kul; Şükrü Oğuz; İlker Eyüboğlu; Özlem Kömürcüoğlu
Journal:  Diagn Interv Radiol       Date:  2015 Jul-Aug       Impact factor: 2.630

2.  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

3.  Nonpalpable BI-RADS 4 breast lesions: sonographic findings and pathology correlation.

Authors:  Eda Elverici; Ayşe Nurdan Barça; Hafize Aktaş; Arzu Özsoy; Betül Zengin; Mehtap Çavuşoğlu; Levent Araz
Journal:  Diagn Interv Radiol       Date:  2015 May-Jun       Impact factor: 2.630

4.  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

5.  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

Review 6.  [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

7.  Plasma extracellular vesicle long RNA profiles in the diagnosis and prediction of treatment response for breast cancer.

Authors:  Yonghui Su; Yuchen Li; Rong Guo; Jingjing Zhao; Weiru Chi; Hongyan Lai; Jia Wang; Zhen Wang; Lun Li; Yuting Sang; Jianjing Hou; Jingyan Xue; Zhimin Shao; Yayun Chi; Shenglin Huang; Jiong Wu
Journal:  NPJ Breast Cancer       Date:  2021-12-10

8.  A Five-Year Review of the Outcomes of Breast Imaging Reporting and Data System 4 Lesions in Hospital Universiti Sains Malaysia.

Authors:  Karthikeyan Marthay; Maya Mazuwin Yahya; Tengku Ahmad Damitri Al-Astani Tengku Din; Wan Zainira Wan Zain; Juhara Haron; Michael Pak-Kai Wong; Rosenelifaizur Ramely; Wan Muhammad Mokhzani Wan Mokhter; Siti Rahmah Hashim Isa Merican; Mohd Nizam Mohd Hashim
Journal:  Cureus       Date:  2022-03-01
  8 in total

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