Cargando…
Automated Breast Volume Scanner (ABVS)-Based Radiomic Nomogram: A Potential Tool for Reducing Unnecessary Biopsies of BI-RADS 4 Lesions
Improving the assessment of breast imaging reporting and data system (BI-RADS) 4 lesions and reducing unnecessary biopsies are urgent clinical issues. In this prospective study, a radiomic nomogram based on the automated breast volume scanner (ABVS) was constructed to identify benign and malignant B...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8774686/ https://www.ncbi.nlm.nih.gov/pubmed/35054339 http://dx.doi.org/10.3390/diagnostics12010172 |
_version_ | 1784636408780029952 |
---|---|
author | Wang, Shi-Jie Liu, Hua-Qing Yang, Tao Huang, Ming-Quan Zheng, Bo-Wen Wu, Tao Qiu, Chen Han, Lan-Qing Ren, Jie |
author_facet | Wang, Shi-Jie Liu, Hua-Qing Yang, Tao Huang, Ming-Quan Zheng, Bo-Wen Wu, Tao Qiu, Chen Han, Lan-Qing Ren, Jie |
author_sort | Wang, Shi-Jie |
collection | PubMed |
description | Improving the assessment of breast imaging reporting and data system (BI-RADS) 4 lesions and reducing unnecessary biopsies are urgent clinical issues. In this prospective study, a radiomic nomogram based on the automated breast volume scanner (ABVS) was constructed to identify benign and malignant BI-RADS 4 lesions and evaluate its value in reducing unnecessary biopsies. A total of 223 histologically confirmed BI-RADS 4 lesions were enrolled and assigned to the training and validation cohorts. A radiomic score was generated from the axial, sagittal, and coronal ABVS images. Combining the radiomic score and clinical-ultrasound factors, a radiomic nomogram was developed by multivariate logistic regression analysis. The nomogram integrating the radiomic score, lesion size, and BI-RADS 4 subcategories showed good discrimination between malignant and benign BI-RADS 4 lesions in the training (AUC, 0.959) and validation (AUC, 0.925) cohorts. Moreover, 42.5% of unnecessary biopsies would be reduced by using the nomogram, but nine (4%) malignant BI-RADS 4 lesions were unfortunately missed, of which 4A (77.8%) and small-sized (<10 mm) lesions (66.7%) accounted for the majority. The ABVS radiomics nomogram may be a potential tool to reduce unnecessary biopsies of BI-RADS 4 lesions, but its ability to detect small BI-RADS 4A lesions needs to be improved. |
format | Online Article Text |
id | pubmed-8774686 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-87746862022-01-21 Automated Breast Volume Scanner (ABVS)-Based Radiomic Nomogram: A Potential Tool for Reducing Unnecessary Biopsies of BI-RADS 4 Lesions Wang, Shi-Jie Liu, Hua-Qing Yang, Tao Huang, Ming-Quan Zheng, Bo-Wen Wu, Tao Qiu, Chen Han, Lan-Qing Ren, Jie Diagnostics (Basel) Article Improving the assessment of breast imaging reporting and data system (BI-RADS) 4 lesions and reducing unnecessary biopsies are urgent clinical issues. In this prospective study, a radiomic nomogram based on the automated breast volume scanner (ABVS) was constructed to identify benign and malignant BI-RADS 4 lesions and evaluate its value in reducing unnecessary biopsies. A total of 223 histologically confirmed BI-RADS 4 lesions were enrolled and assigned to the training and validation cohorts. A radiomic score was generated from the axial, sagittal, and coronal ABVS images. Combining the radiomic score and clinical-ultrasound factors, a radiomic nomogram was developed by multivariate logistic regression analysis. The nomogram integrating the radiomic score, lesion size, and BI-RADS 4 subcategories showed good discrimination between malignant and benign BI-RADS 4 lesions in the training (AUC, 0.959) and validation (AUC, 0.925) cohorts. Moreover, 42.5% of unnecessary biopsies would be reduced by using the nomogram, but nine (4%) malignant BI-RADS 4 lesions were unfortunately missed, of which 4A (77.8%) and small-sized (<10 mm) lesions (66.7%) accounted for the majority. The ABVS radiomics nomogram may be a potential tool to reduce unnecessary biopsies of BI-RADS 4 lesions, but its ability to detect small BI-RADS 4A lesions needs to be improved. MDPI 2022-01-12 /pmc/articles/PMC8774686/ /pubmed/35054339 http://dx.doi.org/10.3390/diagnostics12010172 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Wang, Shi-Jie Liu, Hua-Qing Yang, Tao Huang, Ming-Quan Zheng, Bo-Wen Wu, Tao Qiu, Chen Han, Lan-Qing Ren, Jie Automated Breast Volume Scanner (ABVS)-Based Radiomic Nomogram: A Potential Tool for Reducing Unnecessary Biopsies of BI-RADS 4 Lesions |
title | Automated Breast Volume Scanner (ABVS)-Based Radiomic Nomogram: A Potential Tool for Reducing Unnecessary Biopsies of BI-RADS 4 Lesions |
title_full | Automated Breast Volume Scanner (ABVS)-Based Radiomic Nomogram: A Potential Tool for Reducing Unnecessary Biopsies of BI-RADS 4 Lesions |
title_fullStr | Automated Breast Volume Scanner (ABVS)-Based Radiomic Nomogram: A Potential Tool for Reducing Unnecessary Biopsies of BI-RADS 4 Lesions |
title_full_unstemmed | Automated Breast Volume Scanner (ABVS)-Based Radiomic Nomogram: A Potential Tool for Reducing Unnecessary Biopsies of BI-RADS 4 Lesions |
title_short | Automated Breast Volume Scanner (ABVS)-Based Radiomic Nomogram: A Potential Tool for Reducing Unnecessary Biopsies of BI-RADS 4 Lesions |
title_sort | automated breast volume scanner (abvs)-based radiomic nomogram: a potential tool for reducing unnecessary biopsies of bi-rads 4 lesions |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8774686/ https://www.ncbi.nlm.nih.gov/pubmed/35054339 http://dx.doi.org/10.3390/diagnostics12010172 |
work_keys_str_mv | AT wangshijie automatedbreastvolumescannerabvsbasedradiomicnomogramapotentialtoolforreducingunnecessarybiopsiesofbirads4lesions AT liuhuaqing automatedbreastvolumescannerabvsbasedradiomicnomogramapotentialtoolforreducingunnecessarybiopsiesofbirads4lesions AT yangtao automatedbreastvolumescannerabvsbasedradiomicnomogramapotentialtoolforreducingunnecessarybiopsiesofbirads4lesions AT huangmingquan automatedbreastvolumescannerabvsbasedradiomicnomogramapotentialtoolforreducingunnecessarybiopsiesofbirads4lesions AT zhengbowen automatedbreastvolumescannerabvsbasedradiomicnomogramapotentialtoolforreducingunnecessarybiopsiesofbirads4lesions AT wutao automatedbreastvolumescannerabvsbasedradiomicnomogramapotentialtoolforreducingunnecessarybiopsiesofbirads4lesions AT qiuchen automatedbreastvolumescannerabvsbasedradiomicnomogramapotentialtoolforreducingunnecessarybiopsiesofbirads4lesions AT hanlanqing automatedbreastvolumescannerabvsbasedradiomicnomogramapotentialtoolforreducingunnecessarybiopsiesofbirads4lesions AT renjie automatedbreastvolumescannerabvsbasedradiomicnomogramapotentialtoolforreducingunnecessarybiopsiesofbirads4lesions |