Cargando…

Type 2 dynamic curves: A diagnostic dilemma

BACKGROUND: Magnetic resonance imaging (MRI) with multiparametric dynamic contrast plays a critical role in the assessment of breast lesions. Dynamic curves are a critical parameter in determining the benign or malignant nature of lesions. Dynamic curves of type 1 are known to represent benign masse...

Descripción completa

Detalles Bibliográficos
Autores principales: Karavas, Erdal, Ece, Bunyamin, Aydın, Sonay
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Baishideng Publishing Group Inc 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9350610/
https://www.ncbi.nlm.nih.gov/pubmed/36160627
http://dx.doi.org/10.4329/wjr.v14.i7.229
_version_ 1784762256842555392
author Karavas, Erdal
Ece, Bunyamin
Aydın, Sonay
author_facet Karavas, Erdal
Ece, Bunyamin
Aydın, Sonay
author_sort Karavas, Erdal
collection PubMed
description BACKGROUND: Magnetic resonance imaging (MRI) with multiparametric dynamic contrast plays a critical role in the assessment of breast lesions. Dynamic curves are a critical parameter in determining the benign or malignant nature of lesions. Dynamic curves of type 1 are known to represent benign masses, while dynamic curves of type 3 are known to identify malignant masses. Type 2 dynamic curves have a sensitivity of 42.6% and specificity of 75% for malignancy detection. AIM: To investigate the pathological diagnosis of lesions with type 2 dynamic curves. METHODS: We evaluated breast MRI examinations performed between 2020 and 2021 retrospectively and included lesions with type 2 dynamic curves. We included 38 lesions from 33 patients. The lesions were evaluated for their pathological diagnosis and morphological characteristics. RESULTS: Twenty-six lesions were malignant, while twelve were benign. The most frequently encountered benign lesion (7/12, 58.3%) was sclerosing adenosis, while the most frequently encountered malignant diagnosis was invasive ductal cancer. The presence of a type 2 dynamic curve had a sensitivity of 40.2% and specificity of 73.4% for predicting malignancy. By combining type 2 curves and morphological features, the sensitivity and specificity were increased. CONCLUSION: The high rates of malignancy detected histopathologically among patients with type 2 dynamic curves in our study are remarkable. Type 2 dynamic curves can be detected in benign breast masses, especially in sclerosing adenosis cases. Considering morphological features can increase the diagnostic accuracy in cases with type 2 dynamic curves.
format Online
Article
Text
id pubmed-9350610
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Baishideng Publishing Group Inc
record_format MEDLINE/PubMed
spelling pubmed-93506102022-09-23 Type 2 dynamic curves: A diagnostic dilemma Karavas, Erdal Ece, Bunyamin Aydın, Sonay World J Radiol Retrospective Study BACKGROUND: Magnetic resonance imaging (MRI) with multiparametric dynamic contrast plays a critical role in the assessment of breast lesions. Dynamic curves are a critical parameter in determining the benign or malignant nature of lesions. Dynamic curves of type 1 are known to represent benign masses, while dynamic curves of type 3 are known to identify malignant masses. Type 2 dynamic curves have a sensitivity of 42.6% and specificity of 75% for malignancy detection. AIM: To investigate the pathological diagnosis of lesions with type 2 dynamic curves. METHODS: We evaluated breast MRI examinations performed between 2020 and 2021 retrospectively and included lesions with type 2 dynamic curves. We included 38 lesions from 33 patients. The lesions were evaluated for their pathological diagnosis and morphological characteristics. RESULTS: Twenty-six lesions were malignant, while twelve were benign. The most frequently encountered benign lesion (7/12, 58.3%) was sclerosing adenosis, while the most frequently encountered malignant diagnosis was invasive ductal cancer. The presence of a type 2 dynamic curve had a sensitivity of 40.2% and specificity of 73.4% for predicting malignancy. By combining type 2 curves and morphological features, the sensitivity and specificity were increased. CONCLUSION: The high rates of malignancy detected histopathologically among patients with type 2 dynamic curves in our study are remarkable. Type 2 dynamic curves can be detected in benign breast masses, especially in sclerosing adenosis cases. Considering morphological features can increase the diagnostic accuracy in cases with type 2 dynamic curves. Baishideng Publishing Group Inc 2022-07-28 2022-07-28 /pmc/articles/PMC9350610/ /pubmed/36160627 http://dx.doi.org/10.4329/wjr.v14.i7.229 Text en ©The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved. https://creativecommons.org/licenses/by-nc/4.0/This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial.
spellingShingle Retrospective Study
Karavas, Erdal
Ece, Bunyamin
Aydın, Sonay
Type 2 dynamic curves: A diagnostic dilemma
title Type 2 dynamic curves: A diagnostic dilemma
title_full Type 2 dynamic curves: A diagnostic dilemma
title_fullStr Type 2 dynamic curves: A diagnostic dilemma
title_full_unstemmed Type 2 dynamic curves: A diagnostic dilemma
title_short Type 2 dynamic curves: A diagnostic dilemma
title_sort type 2 dynamic curves: a diagnostic dilemma
topic Retrospective Study
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9350610/
https://www.ncbi.nlm.nih.gov/pubmed/36160627
http://dx.doi.org/10.4329/wjr.v14.i7.229
work_keys_str_mv AT karavaserdal type2dynamiccurvesadiagnosticdilemma
AT ecebunyamin type2dynamiccurvesadiagnosticdilemma
AT aydınsonay type2dynamiccurvesadiagnosticdilemma