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Ultrasound Features and Ultrasound Scores in the Differentiation between Benign and Malignant Adnexal Masses
Background: Several ultrasound (US) features help ultrasound experts in the classification of benign vs. malignant adnexal masses. US scores serve in this differentiation, but they all have misdiagnoses. The main objective of this study is to evaluate what ultrasound characteristics are associated w...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10341072/ https://www.ncbi.nlm.nih.gov/pubmed/37443546 http://dx.doi.org/10.3390/diagnostics13132152 |
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author | Pelayo, Mar Sancho-Sauco, Javier Sanchez-Zurdo, Javier Abarca-Martinez, Leopoldo Borrero-Gonzalez, Carlota Sainz-Bueno, Jose Antonio Alcazar, Juan Luis Pelayo-Delgado, Irene |
author_facet | Pelayo, Mar Sancho-Sauco, Javier Sanchez-Zurdo, Javier Abarca-Martinez, Leopoldo Borrero-Gonzalez, Carlota Sainz-Bueno, Jose Antonio Alcazar, Juan Luis Pelayo-Delgado, Irene |
author_sort | Pelayo, Mar |
collection | PubMed |
description | Background: Several ultrasound (US) features help ultrasound experts in the classification of benign vs. malignant adnexal masses. US scores serve in this differentiation, but they all have misdiagnoses. The main objective of this study is to evaluate what ultrasound characteristics are associated with malignancy influencing ultrasound scores. Methods: This is a retrospective analysis of ultrasound features of adnexal lesions of women managed surgically. Ultrasound characteristics were analyzed, and masses were classified by subjective assessment of the ultrasonographer (SA) and other ultrasound scores (IOTA Simple Rules Risk Assessment SRRA, ADNEX model, and O-RADS). Results: Of a total of 187 adnexal masses studied, 134 were benign (71.7%) and 53 were malignant (28.3%). SA, IOTA SRRA, ADNEX model with or without CA125 and O-RADS had high levels of sensitivity (93.9%, 81.1%, 94.3%, 88.7%, 98.1%) but lower specificity (80.2%, 82.1%, 82.8%, 77.6%, 73.1%) with similar AUC (0.87, 0.87, 0.92, 0.90, 0.86). Ultrasound features significantly related with malignancy were the presence of irregular contour, absence of acoustic shadowing, vascularized solid areas, ≥1 papillae, vascularized septum, and moderate-severe ascites. Conclusion: IOTA SRRA, ADNEX model, and O-RADS can help in the classification of benign and malignant masses. Certain ultrasound characteristics studied in ultrasound scores are associated with malignancy. |
format | Online Article Text |
id | pubmed-10341072 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-103410722023-07-14 Ultrasound Features and Ultrasound Scores in the Differentiation between Benign and Malignant Adnexal Masses Pelayo, Mar Sancho-Sauco, Javier Sanchez-Zurdo, Javier Abarca-Martinez, Leopoldo Borrero-Gonzalez, Carlota Sainz-Bueno, Jose Antonio Alcazar, Juan Luis Pelayo-Delgado, Irene Diagnostics (Basel) Article Background: Several ultrasound (US) features help ultrasound experts in the classification of benign vs. malignant adnexal masses. US scores serve in this differentiation, but they all have misdiagnoses. The main objective of this study is to evaluate what ultrasound characteristics are associated with malignancy influencing ultrasound scores. Methods: This is a retrospective analysis of ultrasound features of adnexal lesions of women managed surgically. Ultrasound characteristics were analyzed, and masses were classified by subjective assessment of the ultrasonographer (SA) and other ultrasound scores (IOTA Simple Rules Risk Assessment SRRA, ADNEX model, and O-RADS). Results: Of a total of 187 adnexal masses studied, 134 were benign (71.7%) and 53 were malignant (28.3%). SA, IOTA SRRA, ADNEX model with or without CA125 and O-RADS had high levels of sensitivity (93.9%, 81.1%, 94.3%, 88.7%, 98.1%) but lower specificity (80.2%, 82.1%, 82.8%, 77.6%, 73.1%) with similar AUC (0.87, 0.87, 0.92, 0.90, 0.86). Ultrasound features significantly related with malignancy were the presence of irregular contour, absence of acoustic shadowing, vascularized solid areas, ≥1 papillae, vascularized septum, and moderate-severe ascites. Conclusion: IOTA SRRA, ADNEX model, and O-RADS can help in the classification of benign and malignant masses. Certain ultrasound characteristics studied in ultrasound scores are associated with malignancy. MDPI 2023-06-23 /pmc/articles/PMC10341072/ /pubmed/37443546 http://dx.doi.org/10.3390/diagnostics13132152 Text en © 2023 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 Pelayo, Mar Sancho-Sauco, Javier Sanchez-Zurdo, Javier Abarca-Martinez, Leopoldo Borrero-Gonzalez, Carlota Sainz-Bueno, Jose Antonio Alcazar, Juan Luis Pelayo-Delgado, Irene Ultrasound Features and Ultrasound Scores in the Differentiation between Benign and Malignant Adnexal Masses |
title | Ultrasound Features and Ultrasound Scores in the Differentiation between Benign and Malignant Adnexal Masses |
title_full | Ultrasound Features and Ultrasound Scores in the Differentiation between Benign and Malignant Adnexal Masses |
title_fullStr | Ultrasound Features and Ultrasound Scores in the Differentiation between Benign and Malignant Adnexal Masses |
title_full_unstemmed | Ultrasound Features and Ultrasound Scores in the Differentiation between Benign and Malignant Adnexal Masses |
title_short | Ultrasound Features and Ultrasound Scores in the Differentiation between Benign and Malignant Adnexal Masses |
title_sort | ultrasound features and ultrasound scores in the differentiation between benign and malignant adnexal masses |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10341072/ https://www.ncbi.nlm.nih.gov/pubmed/37443546 http://dx.doi.org/10.3390/diagnostics13132152 |
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