The positive predictive value of the breast imaging reporting and data system (BI-RADS) as a method of quality assessment in breast imaging in a hospital population

2004 ◽  
Vol 14 (10) ◽  
pp. 1743-1750 ◽  
Author(s):  
Harmine M. Zonderland ◽  
Thomas L. Pope ◽  
Arend J. Nieborg
Keyword(s):  
Positive Predictive Value ◽  
Quality Assessment ◽  
Predictive Value ◽  
Breast Imaging ◽  
Data System ◽  
Hospital Population

The breast imaging reporting and data system: positive predictive value of mammographic features and final assessment categories.

1998 ◽  
Vol 171 (1) ◽  
pp. 35-40 ◽  
Author(s):  
L Liberman ◽  
A F Abramson ◽  
F B Squires ◽  
J R Glassman ◽  
E A Morris ◽  
...  
Keyword(s):  
Positive Predictive Value ◽  
Predictive Value ◽  
Breast Imaging ◽  
Data System ◽  
Final Assessment

scholarly journals Breast Imaging Reporting and Data System - BI-RADS®: valor preditivo positivo das categorias 3, 4 e 5. revisão sistemática da literatura

2007 ◽  
Vol 40 (3) ◽  
pp. 173-177 ◽  
Author(s):  
Fabíola Procaci Kestelman ◽  
Gustavo Antônio de Souza ◽  
Luiz Claudio Thuler ◽  
Gabriela Martins ◽  
Vivianne Aguilera Rolim de Freitas ◽  
...  
Keyword(s):  
Predictive Value ◽  
Breast Imaging ◽  
Data System

OBJETIVO: Avaliar artigos, na literatura, que verificam o valor preditivo positivo das categorias 3, 4 e 5 do Breast Imaging Reporting and Data System (BI-RADS®). MATERIAIS E MÉTODOS: Foi realizada pesquisa na base de dados Medline utilizando os termos "predictive value" e "BI-RADS". Foram incluídos 11 artigos nesta revisão. RESULTADOS: O valor preditivo positivo das categorias 3, 4 e 5 variou entre 0% e 8%, 4% e 62%, 54% e 100%, respectivamente. Três artigos avaliaram, concomitantemente, os critérios morfológicos das lesões que apresentaram maior valor preditivo positivo na mamografia, sendo nódulo espiculado o critério com maior valor preditivo positivo. CONCLUSÃO: Houve grande variabilidade do valor preditivo positivo das categorias 3, 4 e 5 do BI-RADS® em todos os estudos, porém foram identificadas diferenças metodológicas que limitaram a comparação desses estudos.

Diagnostic Values of Breast Imaging Reporting and Data System and ultrasound Elastography in Benign and Malignant Breast Tumor

2016 ◽  
Vol 13 (10) ◽  
pp. 6509-6513
Author(s):  
Xin-Hua Lu
Keyword(s):  
Breast Cancer ◽  
Roc Curve ◽  
Predictive Value ◽  
Breast Tumor ◽  
Breast Imaging ◽  
Data System ◽  
Ultrasound Elastography ◽  
Malignant Breast Tumor ◽  
Diagnostic Values ◽  
Malignant Breast

Objective: To evaluate the diagnostic values of Breast Imaging Reporting and Data System (BI-RADS), ultrasound elastography (UE) and the combination in differentiating benign and malignant breast tumor. Methods: The BI-RADS and UE image features of 248 breast cancer patients (a total of 260 lesions) proved by surgery and pathology from February 2013 to March 2015 were retrospectively analyzed. With the pathologic results as the gold standard, the sensitivity, specificity, positive and negative predictive values, and accuracy were calculated for BI-RADS, UE and the combination. On the basis of the sensitivity and specificity, they were analyzed by receiver operating characteristic (ROC) curve. Results: In all 260 lesions, 71 lesions were benign and 189 were malignant according to UE diagnosis; 50 lesions were benign and 210 were malignant proved by BI-RADS; 55 lesions were benign and 205 were malignant diagnosed by the combination. The sensitivity (86.09%), specificity (61.64%), positive predictive value (85.19%), negative predictive value (63.38%), and accuracy (79.23%) of ultrasound elastography were all less than that of BI-RADS (98.39%, 64.38%, 88.85%, 87.62%, 94.00%) and the combination (99.47%, 73.97%, 92.31%, 90.73%, 98.18%). The areas under the ROC curve for UE, BI-RADS and the combination were respectively 0.746[95%CI(0.673–0.818)], 0.814[95%CI(0.744–0.884)] and 0.867[95%CI(0.805–0.929)]. Conclusion: Ultrasonic BI-RADS can be the first choice for diagnosing breast cancer, with UE as the auxiliary method. The combined application can further improve the diagnosis rate of benign and malignant breast tumor.

scholarly journals Positive predictive value of BIRADS (Breast imaging reporting and data system) IV lesions in detection of carcinoma breast, using histopathology as a gold standard.

2020 ◽  
Vol 27 (01) ◽  
pp. 172-179
Author(s):  
Syed Anjum Mehdi ◽  
Hassan Bukhari ◽  
Irfan Shabbir ◽  
Sobia Shabbir
Keyword(s):  
Positive Predictive Value ◽  
Predictive Value ◽  
Gold Standard ◽  
Breast Imaging ◽  
Benign Lesion ◽  
Malignant Lesion ◽  
Performance Outcomes ◽  
Duration Of Symptoms ◽  
Carcinoma Breast ◽  
The Mean

Objective: To determine the Positive Predictive Value of BIRADS IV lesions in detection of carcinoma breast, using histopathology as a gold standard. Study Design: A Cross-Sectional study. Setting: Department of Radiology Allied Hospital Faisalabad. Period: From 01-09-2015 to 01-03-2016. Material & Methods: 93 female patients referred to radiology department were included after taking consent. Data were collected on structured proforma. The final diagnosis of the BIRASDS IV lesion seen on mammography has made by consultant. Then patients were sent for biopsy. Mammographic diagnose was then compared with the histopathological diagnose by consultant. The primary performance outcomes of diagnostic mammography like sensitivity, specificity and accuracy were evaluated. Results: The mean age of patients was 45.96±7.85years. There were 19 females had subcategory A, 22 had subcategory B and 52 females had subcategory C. The mean size of lump was 3.23±0.69cm. The mean duration of symptoms was 3.97±3.43months. On BIRADS IV, malignant lesion detected in 71 (76.3%) females while 22 (23.7%) females had benign lesion. On histopathology, malignant lesions detected in 50 (53.8%) females while 43 (46.2%) females had benign lesion. Findings of BIRADS IV were compared with histopathology and the PPV was 43.7% and NPV was 13.6%. Conclusion: Through findings of this study, we concluded that in comparison to histopathology, BIRADS IV had PPV of 43.7% and NPV of 13.6%. In some cases, we can rely on BIRADS-IV and skip interventional method including biopsy for diagnosis of breast lesion.

scholarly journals Diagnosis of breast lumps based on breast imaging reporting and data system score and histopathological examination: a comparative study

2019 ◽  
Vol 7 (1) ◽  
pp. 144
Author(s):  
Shahaji G. Chavan ◽  
Sree Ganesh B. ◽  
Nandan Vemuri
Keyword(s):  
Diagnostic Accuracy ◽  
Predictive Value ◽  
Gold Standard ◽  
Breast Imaging ◽  
Histopathological Examination ◽  
Breast Cancer Incidence ◽  
Data System ◽  
Breast Lump ◽  
Cross Sectional ◽  
Breast Lumps

Background: Breast cancer incidence in India is increasing and has now become the most common cancer among women. Preoperative pathology diagnosis and mammography (using breast imaging reporting and data system      (BI-RADS) scoring system) constitute an essential part of the workup of breast lesions. The present study was aimed to compare the diagnostic accuracy of BI-RADS score with histopathological finding in diagnosis of benign and malignant lesions of breast.Methods: This is a cross-sectional study. The present study was conducted on 100 randomly selected newly diagnosed cases of breast lump attending the General Surgery Department (OPD).Results: Considering histopathological examination as gold standard, the sensitivity and specificity of BI-RADS score is 93.9% and 82.3% respectively. The positive predictive value, negative predictive value and diagnostic accuracy of BI-RADS score is 91.1%, 87.5% and 90.0% respectively.Conclusions: Author conclude from the present study that BI-RADS score being non-invasive, it may become a very useful test for evaluating Breast lump lesions. However, BI-RADS score cannot be considered as gold standard and thus cannot be used as an alternative to histopathology in diagnosis of breast lumps.

scholarly journals Positive predictive values of Breast Imaging Reporting and Data System (BI-RADS®) categories 3, 4 and 5 in breast lesions submitted to percutaneous biopsy

2013 ◽  
Vol 46 (4) ◽  
pp. 209-213 ◽  
Author(s):  
Gustavo Machado Badan ◽  
Décio Roveda Júnior ◽  
Carlos Alberto Pecci Ferreira ◽  
Felipe Augusto Trocoli Ferreira ◽  
Eduardo de Faria Castro Fleury ◽  
...  
Keyword(s):  
Positive Predictive Value ◽  
Predictive Value ◽  
Breast Imaging ◽  
Percutaneous Biopsy ◽  
Cross Sectional Study ◽  
Breast Lesions ◽  
Cross Sectional ◽  
Predictive Values ◽  
Histological Results ◽  
The City

Objective To evaluate the BI-RADS as a predictive factor of suspicion for malignancy in breast lesions by correlating radiological with histological results and calculating the positive predictive value for categories 3, 4 and 5 in a breast cancer reference center in the city of São Paulo. Materials and Methods Retrospective, analytical and cross-sectional study including 725 patients with mammographic and/or sonographic findings classified as BI-RADS categories 3, 4 and 5 who were referred to the authors' institution to undergo percutaneous biopsy. The tests results were reviewed and the positive predictive value was calculated by means of a specific mathematical equation. Results Positive predictive values found for categories 3, 4 and 5 were respectively the following: 0.74%, 33.08% and 92.95%, for cases submitted to ultrasound-guided biopsy, and 0.00%, 14.90% and 100% for cases submitted to stereotactic biopsy. Conclusion The present study demonstrated high suspicion for malignancy in lesions classified as category 5 and low risk for category 3. As regards category 4, the need for systematic biopsies was observed.

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