External Validation of a Risk Stratification Score for B3 Breast Lesions Detected at Ultrasound Core Needle Biopsy

Objective: The aim of this study was to externally validate the feasibility and robustness of a risk-stratification score for B3 lesions based on clinical, pathological, and radiological data for improved clinical decision making. Methods: 129 consecutive histologically confirmed B3 lesions diagnose...

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Main Authors: Cristina Grippo, Pooja Jagmohan, Paola Clauser, Panagiotis Kapetas, Arthur Meier, Annabel M. Stöger, Anna D’Angelo, Pascal A. T. Baltzer
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Diagnostics
Subjects:
Online Access:https://www.mdpi.com/2075-4418/10/4/181
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spelling doaj-9b54ed7933ac4d18bc3436c9b243ba9e2020-11-25T03:10:06ZengMDPI AGDiagnostics2075-44182020-03-0110418110.3390/diagnostics10040181diagnostics10040181External Validation of a Risk Stratification Score for B3 Breast Lesions Detected at Ultrasound Core Needle BiopsyCristina Grippo0Pooja Jagmohan1Paola Clauser2Panagiotis Kapetas3Arthur Meier4Annabel M. Stöger5Anna D’Angelo6Pascal A. T. Baltzer7Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Istituto di Radiologia, Fondazione Policlinico Universitario A.Gemelli IRCCS, Università Cattolica del Sacro Cuore, 00168 Roma, ItalyDepartment of Diagnostic Imaging, National University Hospital and Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, SingaporeDepartment of Biomedical Imaging and Image-Guided Therapy, Medical University and General Hospital of Vienna, Waehringer Guertel 18-20, A-1090 Vienna, AustriaDepartment of Biomedical Imaging and Image-Guided Therapy, Medical University and General Hospital of Vienna, Waehringer Guertel 18-20, A-1090 Vienna, AustriaDepartment of Biomedical Imaging and Image-Guided Therapy, Medical University and General Hospital of Vienna, Waehringer Guertel 18-20, A-1090 Vienna, AustriaDepartment of Biomedical Imaging and Image-Guided Therapy, Medical University and General Hospital of Vienna, Waehringer Guertel 18-20, A-1090 Vienna, AustriaDipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Istituto di Radiologia, Fondazione Policlinico Universitario A.Gemelli IRCCS, Università Cattolica del Sacro Cuore, 00168 Roma, ItalyDepartment of Biomedical Imaging and Image-Guided Therapy, Medical University and General Hospital of Vienna, Waehringer Guertel 18-20, A-1090 Vienna, AustriaObjective: The aim of this study was to externally validate the feasibility and robustness of a risk-stratification score for B3 lesions based on clinical, pathological, and radiological data for improved clinical decision making. Methods: 129 consecutive histologically confirmed B3 lesions diagnosed at ultrasound-guided biopsy at our institution were included in this retrospective study. Patient- and lesion-related variables were independently assessed by two blinded breast radiologists (R1, R2), by assigning each feature a score from 0 to 2 (maximum sum-score of 5). Sensitivity, specificity, positive and negative predictive values were calculated at two different thresholds (≥1 and 2). Categorical variables were compared using Chi-squared and Fisher exact tests. The diagnostic accuracy of the score to distinguish benign from malignant B3 lesions was assessed by receiver operating characteristic (ROC) analysis. Results: Surgery was performed on 117/129 (90.6%) lesions and 11 of these 117 (9.4%) lesions were malignant. No cancers were found at follow-up of at least 24 months. Area under the ROC-curve was 0.736 (R1) to 0.747 (R2), with no significant difference between the two readers (p = 0.5015). Using a threshold of ≥1, a sensitivity, specificity, PPV, and NPV of 90%/90% (R1/R2), 39%/38% (R1/R2), 11%/12% (R1/R2) and 97%/98% (R1/R2) were identified. Both readers classified 47 lesions with a score ≤1 (low risk of associated malignancy). Of these, only one malignant lesion was underdiagnosed (Ductal carcinoma in situ-G1). Conclusions: In our external validation, the score showed a high negative predictive value and has the potential to reduce unnecessary surgeries or re-biopsies for ultrasound-detected B3-lesions by up to 39%.https://www.mdpi.com/2075-4418/10/4/181roc curveclinical decision-makingbreastsensitivity and specificityultrasound-guided core needle biopsy
collection DOAJ
language English
format Article
sources DOAJ
author Cristina Grippo
Pooja Jagmohan
Paola Clauser
Panagiotis Kapetas
Arthur Meier
Annabel M. Stöger
Anna D’Angelo
Pascal A. T. Baltzer
spellingShingle Cristina Grippo
Pooja Jagmohan
Paola Clauser
Panagiotis Kapetas
Arthur Meier
Annabel M. Stöger
Anna D’Angelo
Pascal A. T. Baltzer
External Validation of a Risk Stratification Score for B3 Breast Lesions Detected at Ultrasound Core Needle Biopsy
Diagnostics
roc curve
clinical decision-making
breast
sensitivity and specificity
ultrasound-guided core needle biopsy
author_facet Cristina Grippo
Pooja Jagmohan
Paola Clauser
Panagiotis Kapetas
Arthur Meier
Annabel M. Stöger
Anna D’Angelo
Pascal A. T. Baltzer
author_sort Cristina Grippo
title External Validation of a Risk Stratification Score for B3 Breast Lesions Detected at Ultrasound Core Needle Biopsy
title_short External Validation of a Risk Stratification Score for B3 Breast Lesions Detected at Ultrasound Core Needle Biopsy
title_full External Validation of a Risk Stratification Score for B3 Breast Lesions Detected at Ultrasound Core Needle Biopsy
title_fullStr External Validation of a Risk Stratification Score for B3 Breast Lesions Detected at Ultrasound Core Needle Biopsy
title_full_unstemmed External Validation of a Risk Stratification Score for B3 Breast Lesions Detected at Ultrasound Core Needle Biopsy
title_sort external validation of a risk stratification score for b3 breast lesions detected at ultrasound core needle biopsy
publisher MDPI AG
series Diagnostics
issn 2075-4418
publishDate 2020-03-01
description Objective: The aim of this study was to externally validate the feasibility and robustness of a risk-stratification score for B3 lesions based on clinical, pathological, and radiological data for improved clinical decision making. Methods: 129 consecutive histologically confirmed B3 lesions diagnosed at ultrasound-guided biopsy at our institution were included in this retrospective study. Patient- and lesion-related variables were independently assessed by two blinded breast radiologists (R1, R2), by assigning each feature a score from 0 to 2 (maximum sum-score of 5). Sensitivity, specificity, positive and negative predictive values were calculated at two different thresholds (≥1 and 2). Categorical variables were compared using Chi-squared and Fisher exact tests. The diagnostic accuracy of the score to distinguish benign from malignant B3 lesions was assessed by receiver operating characteristic (ROC) analysis. Results: Surgery was performed on 117/129 (90.6%) lesions and 11 of these 117 (9.4%) lesions were malignant. No cancers were found at follow-up of at least 24 months. Area under the ROC-curve was 0.736 (R1) to 0.747 (R2), with no significant difference between the two readers (p = 0.5015). Using a threshold of ≥1, a sensitivity, specificity, PPV, and NPV of 90%/90% (R1/R2), 39%/38% (R1/R2), 11%/12% (R1/R2) and 97%/98% (R1/R2) were identified. Both readers classified 47 lesions with a score ≤1 (low risk of associated malignancy). Of these, only one malignant lesion was underdiagnosed (Ductal carcinoma in situ-G1). Conclusions: In our external validation, the score showed a high negative predictive value and has the potential to reduce unnecessary surgeries or re-biopsies for ultrasound-detected B3-lesions by up to 39%.
topic roc curve
clinical decision-making
breast
sensitivity and specificity
ultrasound-guided core needle biopsy
url https://www.mdpi.com/2075-4418/10/4/181
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