Positive predictive value of the breast imaging reporting and data system11No competing interests declared.

1999 ◽  
Vol 189 (1) ◽  
pp. 34-40 ◽  
Author(s):  
Melissa A Lacquement ◽  
Debra Mitchell ◽  
Alan B Hollingsworth
Keyword(s):  
Positive Predictive Value ◽  
Predictive Value ◽  
Breast Imaging ◽  
Competing Interests

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.

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 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.

scholarly journals Positive Predictive Value of Tomosynthesis-guided Biopsies of Architectural Distortions Seen on Digital Breast Tomosynthesis and without an Ultrasound Correlate

2019 ◽  
Vol 9 ◽  
pp. 53 ◽  
Author(s):  
Gopal R. Vijayaraghavan ◽  
Adrienne Newburg ◽  
Srinivasan Vedantham
Keyword(s):  
Positive Predictive Value ◽  
Predictive Value ◽  
Breast Imaging ◽  
Digital Breast Tomosynthesis ◽  
Inclusion Criteria ◽  
Single Institution ◽  
Breast Tomosynthesis ◽  
Diagnostic Categories ◽  
High Risk Lesion ◽  
Prior Literature

Objective: The objective of the study was to determine the positive predictive value (PPV) of architectural distortions (AD) observed on digital breast tomosynthesis (DBT) and without an ultrasound (US) correlate. Materials and Methods: In this single-institution, retrospective study, patients who underwent DBT-guided biopsies of AD without any associated findings on digital mammography (DM) or DBT, and without a correlate on targeted US exam, over a 14-month period were included in this study. All patients had DM and DBT and targeted US exams. The PPV was computed along with the exact 95% confidence limits (CL) using simple binomial proportions, with histopathology as the reference standard. Results: A total of 45 ADs in 45 patients met the inclusion criteria. Histopathology indicated 6/45 (PPV: 13.3%, CL: 5.1–26.8%), ADs were malignant, including one high-risk lesion that was upgraded at surgery. ADs were appreciated only on DBT in 12/45 (26.7%) patients, and on both DBT and DM in 33/45 (73.3%) patients, and the corresponding PPV was 25% (3/12, CL: 5.5–57.2%) and 9.1% (3/33, CL: 1.9–24.3%), respectively. In all analyses, the observed PPV significantly exceeded the 2% probability of malignancy for Breast Imaging Reporting and Data System-3 diagnostic categories (P < 0.004). Conclusions: The PPV of malignancy in DBT detected AD without an US correlate in our series of 45 cases was 6/45 (13.3%). In the absence of an US correlate, the PPV of AD is lower than that mentioned in prior literature but exceeds the 2% threshold to justify DBT-guided biopsy.

scholarly journals Breast microcalcifications: the UK RCR 5-point breast imaging system or BI-RADS; which is the better predictor of malignancy?

2019 ◽  
Vol 92 (1103) ◽  
pp. 20190177
Author(s):  
Linda Metaxa ◽  
Nuala A Healy ◽  
Sylvia A O’Keeffe
Keyword(s):  
Positive Predictive Value ◽  
Retrospective Review ◽  
Classification System ◽  
Predictive Value ◽  
Breast Imaging ◽  
Imaging System ◽  
System Use ◽  
The Uk

Objective: In the UK RCR 5-point breast imaging system (UKS), radiologists grade mammograms from 1 to 5 according to suspicion for malignancy, however unlike BI-RADS, no lexicon of descriptors is published. The aim of this study was to determine whether strict categorisation of microcalcifications (MCC) according to BI-RADS was a better predictor of malignancy than the UKS and whether these descriptors could be used within the UKS. Methods: A retrospective review of 241 cases, with MCC on mammography, who underwent biopsy was performed. Morphology, distribution, extent, UKS score, BI-RADS category and pathology were recorded. The positive predictive value (PPV) of each classification system for malignancy was calculated. Results: 28.6% were diagnosed with DCIS/IDC. The PPV for malignancy using the UKS was 18.9%, 69.4%, 100% for M3-5 respectively (p < 0.001) and using ΒI-RADS morphology was amorphous: 7.1%, coarse heterogeneous: 33.3%, fine pleomorphic: 48.1% and fine linear/fine linear branching: 85.2% (p < 0.001). The PPV based on distribution was grouped: 14.2%, regional: 32.3%, diffuse: 33.3% and linear/segmental: 77.8% (p < 0.001). Combining all cases of benign-appearing, amorphous and grouped coarse heterogenous and grouped fine pleomorphic MCC gave a PPV of 12.8%. Combining regional, linear or segmental coarse heterogenous and fine pleomorphic and all fine linear/branching MCC resulted in a PPV of 83.3% for malignancy. Conclusion: Combining morphology and distribution of MCC is accurate in malignancy prediction. Use of BI-RADS descriptors could help standardise reporting within the UKS and an algorithm using these within the UKS is proposed. Better prediction would enable more appropriate counselling and help to identify discrepancies. Advances in knowledge: No guidance exists on scoring of suspicious MCC in the UK breast imaging system. Use of BI-RADS morphologic/distribution descriptors can aid malignancy prediction. Findings other than morphology of MCC are important in malignancy prediction. An algorithm for use by the UK radiologist when evaluating MCC is provided.

Diagnosis of cerebral hemorrhage before the era of computed tomography

2013 ◽  
Vol 154 (44) ◽  
pp. 1743-1746
Author(s):  
Gergely Hofgárt ◽  
Rita Szepesi ◽  
Bertalan Vámosi ◽  
László Csiba
Keyword(s):  
Computed Tomography ◽  
Cerebrospinal Fluid ◽  
Positive Predictive Value ◽  
Predictive Value ◽  
Hemorrhagic Stroke ◽  
Cranial Computed Tomography ◽  
Cerebral Stroke ◽  
Daily Routine ◽  
Stroke Patients ◽  
The Difference

Introduction: During the past decades there has been a great progress in neuroimaging methods. Cranial computed tomography is part of the daily routine now and its use allows a fast diagnosis of parenchymal hemorrhage. However, before the availability of computed tomography the differentiation between ischemic and hemorrhagic stroke was based on patient history, physical examination, percutan angiography and cerebrospinal fluid sampling, and the clinical utility could be evaluated by autopsy of deceased patients. Aim: The authors explored the diagnostic performance of cerebrospinal fluid examination for the diagnosis of ischemic and hemorrhagic stroke. Method: Data of 200 deceased stroke patients were retrospectively evaluated. All patients had liquor sampling at admission and all of them had brain autopsy. Results: Bloody or yellowish cerebrospinal fluid at admission had a positive predictive value of 87.5% for hemorrhagic stroke confirmed by autopsy, while clear cerebrospinal fluid had positive predictive value of 90.7% for ischemic stroke. Patients who had clear liquor, but autopsy revealed hemorrhagic stroke had higher protein level in the cerebrospinal fluid, but the difference was not statistically significant (p = 0.09). Conclusions: The results confirm the importance of pathological evaluation of the brain in cases deceased from cerebral stroke. With this article the authors wanted to salute for those who contributed to the development of the Hungarian neuropathology. In this year we remember the 110th anniversary of the birth, and the 60th anniversary of the death of professor Kálmán Sántha. Professor László Molnár would be 90 years old in 2013. Orv. Hetil., 154 (44), 1743–1746.

VALUE OF COMBINATION OF HAP SCORE AND BISAP SCORE IN PREDICTING SEVERITY IN PATIENTS OF ACUTE PANCREATITIS

2019 ◽  
pp. 96-100
Author(s):  
Thi Ngoc Suong Le ◽  
Pham Chi Tran ◽  
Van Huy Tran
Keyword(s):  
Acute Pancreatitis ◽  
Positive Predictive Value ◽  
Roc Curve ◽  
Predictive Value ◽  
Prognostic Value ◽  
Acute Inflammation ◽  
Clinical Symptoms ◽  
Mortality Rates ◽  
Multiple Organ ◽  
Central Hospital

Acute pancreatitis (AP) is an acute inflammation of the pancreas, usually occurs suddenly with a variety of clinical symptoms, complications of multiple organ failure and high mortality rates. Objectives: To determine the value of combination of HAP score and BISAP score in predicting the severity of acute pancreatitis of the Atlanta 2012 Classification. Patients and Methods: 75 patients of acute pancreatitis hospitalized at Hue Central Hospital between March 2017 and July 2018; HAP and BISHAP score is calculated within the first 24 hours. The severity of AP was classified by the revised Atlanta criteria 2012. Results: When combining the HAP and BISAP scores in predicting the severity of acute pancreatitis, the area under the ROC curve was 0,923 with sensitivity value was 66.7%, specificity value was 97.1%; positive predictive value was 66.7%, negative predictive value was 97.1%. Conclusion: The combination of HAP and BISAP scores increased the sensitivity, predictive value, and prognostic value in predicting the severity of acute pancreatitis of the revised Atlanta 2012 classification in compare to each single scores. Key words: HAPscore, BiSAP score, acute pancreatitis, predicting severity

scholarly journals Accuracy of MSCT Coronary Angiography with 64 Row CT Scanner—Facing the Facts

2010 ◽  
Vol 4 ◽  
pp. CMC.S3864 ◽  
Author(s):  
M. Wehrschuetz ◽  
E. Wehrschuetz ◽  
H. Schuchlenz ◽  
G. Schaffler
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Coronary Angiography ◽  
Positive Predictive Value ◽  
Diagnostic Accuracy ◽  
Predictive Value ◽  
Diagnostic Potential ◽  
Coronary Artery Stenoses ◽  
Artery Disease ◽  
Msct Angiography

Improvements in multislice computed tomography (MSCT) angiography of the coronary vessels have enabled the minimally invasive detection of coronary artery stenoses, while quantitative coronary angiography (QCA) is the accepted reference standard for evaluation thereof. Sixteen-slice MSCT showed promising diagnostic accuracy in detecting coronary artery stenoses haemodynamically and the subsequent introduction of 64-slice scanners promised excellent and fast results for coronary artery studies. This prompted us to evaluate the diagnostic accuracy, sensitivity, specificity, and the negative und positive predictive value of 64-slice MSCT in the detection of haemodynamically significant coronary artery stenoses. Thirty-seven consecutive subjects with suspected coronary artery disease were evaluated with MSCT angiography and the results compared with QCA. All vessels were considered for the assessment of significant coronary artery stenosis (diameter reduction ≥ 50%). Thirteen patients (35%) were identified as having significant coronary artery stenoses on QCA with 6.3% (35/555) affected segments. None of the coronary segments were excluded from analysis. Overall sensitivity for classifying stenoses of 64-slice MSCT was 69%, specificity was 92%, positive predictive value was 38% and negative predictive value was 98%. The interobserver variability for detection of significant lesions had a κ-value of 0.43. Sixty-four-slice MSCT offers the diagnostic potential to detect coronary artery disease, to quantify haemodynamically significant coronary artery stenoses and to avoid unnecessary invasive coronary artery examinations.

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