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Differentiation of placenta percreta through MRI features and diffusion-weighted magnetic resonance imaging
OBJECTIVES: To identify whether parameters measured from diffusion kurtosis and intravoxel incoherent motion help diagnose placenta percreta. METHODS: We retrospectively enrolled 75 patients with PAS disorders including 13 patients with placenta percreta and 40 patients without PAS disorders. Each p...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Vienna
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10209373/ https://www.ncbi.nlm.nih.gov/pubmed/37222836 http://dx.doi.org/10.1186/s13244-023-01448-z |
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author | Li, Hang Lu, Tao Li, Mou Wang, Yishuang Zhang, Feng Yuan, Yi Zhu, Meilin Zhao, Xinyi |
author_facet | Li, Hang Lu, Tao Li, Mou Wang, Yishuang Zhang, Feng Yuan, Yi Zhu, Meilin Zhao, Xinyi |
author_sort | Li, Hang |
collection | PubMed |
description | OBJECTIVES: To identify whether parameters measured from diffusion kurtosis and intravoxel incoherent motion help diagnose placenta percreta. METHODS: We retrospectively enrolled 75 patients with PAS disorders including 13 patients with placenta percreta and 40 patients without PAS disorders. Each patients underwent diffusion-weighted imaging (DWI), intravoxel incoherent motion (IVIM), and diffusion kurtosis imaging (DKI). The apparent diffusion coefficient (ADC), perfusion fraction (f), pure diffusion coefficient (D), pseudo-diffusion coefficient (D*), mean diffusion kurtosis (MK) and mean diffusion coefficient (MD) were measured by the volumetric analysis and compared. MRI features were also analyzed and compared. The receiver operating characteristic (ROC) curve and logistic regression analysis were used to evaluate the diagnostic efficiency of different diffusion parameters and MRI features for distinguishing placental percreta. RESULTS: D* was an independent risk factor from DWI for predicting placenta percreta with sensitivity of 73% and specificity of 76%. Focal exophytic mass remained as independent risk factor from MRI features for predicting placenta percreta with sensitivity of 72.7% and specificity of 88.1%. When the two risk factors were combined together, the AUC was the highest, 0.880 (95% CI 0.8–0.96). CONCLUSION: D* and focal exophytic mass were associated with placenta percreta. A combination of the 2 risk factors can be used to predict placenta percreta. CRITICAL RELEVANCE STATEMENT: A combination of D* and focal exophytic mass can be used to differentiate placenta percreta. |
format | Online Article Text |
id | pubmed-10209373 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Vienna |
record_format | MEDLINE/PubMed |
spelling | pubmed-102093732023-05-26 Differentiation of placenta percreta through MRI features and diffusion-weighted magnetic resonance imaging Li, Hang Lu, Tao Li, Mou Wang, Yishuang Zhang, Feng Yuan, Yi Zhu, Meilin Zhao, Xinyi Insights Imaging Original Article OBJECTIVES: To identify whether parameters measured from diffusion kurtosis and intravoxel incoherent motion help diagnose placenta percreta. METHODS: We retrospectively enrolled 75 patients with PAS disorders including 13 patients with placenta percreta and 40 patients without PAS disorders. Each patients underwent diffusion-weighted imaging (DWI), intravoxel incoherent motion (IVIM), and diffusion kurtosis imaging (DKI). The apparent diffusion coefficient (ADC), perfusion fraction (f), pure diffusion coefficient (D), pseudo-diffusion coefficient (D*), mean diffusion kurtosis (MK) and mean diffusion coefficient (MD) were measured by the volumetric analysis and compared. MRI features were also analyzed and compared. The receiver operating characteristic (ROC) curve and logistic regression analysis were used to evaluate the diagnostic efficiency of different diffusion parameters and MRI features for distinguishing placental percreta. RESULTS: D* was an independent risk factor from DWI for predicting placenta percreta with sensitivity of 73% and specificity of 76%. Focal exophytic mass remained as independent risk factor from MRI features for predicting placenta percreta with sensitivity of 72.7% and specificity of 88.1%. When the two risk factors were combined together, the AUC was the highest, 0.880 (95% CI 0.8–0.96). CONCLUSION: D* and focal exophytic mass were associated with placenta percreta. A combination of the 2 risk factors can be used to predict placenta percreta. CRITICAL RELEVANCE STATEMENT: A combination of D* and focal exophytic mass can be used to differentiate placenta percreta. Springer Vienna 2023-05-24 /pmc/articles/PMC10209373/ /pubmed/37222836 http://dx.doi.org/10.1186/s13244-023-01448-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Article Li, Hang Lu, Tao Li, Mou Wang, Yishuang Zhang, Feng Yuan, Yi Zhu, Meilin Zhao, Xinyi Differentiation of placenta percreta through MRI features and diffusion-weighted magnetic resonance imaging |
title | Differentiation of placenta percreta through MRI features and diffusion-weighted magnetic resonance imaging |
title_full | Differentiation of placenta percreta through MRI features and diffusion-weighted magnetic resonance imaging |
title_fullStr | Differentiation of placenta percreta through MRI features and diffusion-weighted magnetic resonance imaging |
title_full_unstemmed | Differentiation of placenta percreta through MRI features and diffusion-weighted magnetic resonance imaging |
title_short | Differentiation of placenta percreta through MRI features and diffusion-weighted magnetic resonance imaging |
title_sort | differentiation of placenta percreta through mri features and diffusion-weighted magnetic resonance imaging |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10209373/ https://www.ncbi.nlm.nih.gov/pubmed/37222836 http://dx.doi.org/10.1186/s13244-023-01448-z |
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