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APTw combined with mDixon−Quant imaging to distinguish the differentiation degree of cervical squamous carcinoma
BACKGROUND: To investigate the value of amide proton transfer weighted (APTw) imaging combined with modified Dixon fat quantification (mDixon-Quant) imaging in determining the degree of differentiation of cervical squamous carcinoma (CSC) against histopathologic. METHODS: Magnetic resonance imaging...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9905693/ https://www.ncbi.nlm.nih.gov/pubmed/36761975 http://dx.doi.org/10.3389/fonc.2023.1105867 |
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author | Meng, Xing Tian, Shifeng Ma, Changjun Lin, Liangjie Zhang, Xiaoxiao Wang, Jiazheng Song, Qingwei Liu, Ai Lian |
author_facet | Meng, Xing Tian, Shifeng Ma, Changjun Lin, Liangjie Zhang, Xiaoxiao Wang, Jiazheng Song, Qingwei Liu, Ai Lian |
author_sort | Meng, Xing |
collection | PubMed |
description | BACKGROUND: To investigate the value of amide proton transfer weighted (APTw) imaging combined with modified Dixon fat quantification (mDixon-Quant) imaging in determining the degree of differentiation of cervical squamous carcinoma (CSC) against histopathologic. METHODS: Magnetic resonance imaging (MRI) data were collected from 52 CSC patients. According to histopathologic results, patients were divided into the poorly differentiated group (37 cases) and the well/moderately differentiated group (15 cases). The APTw value by APTw imaging and the fat fraction (FF) and transverse relaxation rate [Formula: see text] values by mDixon-Quant were independently measured by two radiologists. Intra-class correlation coefficients (ICCs) were used to test the consistency of APTw, FF, and [Formula: see text] values measured by the two observers. The Mann-Whitney U test was used to analyze the difference in each parameter between the two groups. Logistic regression analysis was used to assess the association between the degree of differentiation on histopathology and imaging parameters by APTw and mDixon Quant. The ROC curve was used to evaluate the diagnostic efficacy of various parameters and their combination in distinguishing the degree of CSC differentiation on histopathology. The DeLong test was used to access the differences among the area under the ROC curves (AUCs). The Pearson correlation coefficient was used to evaluate the correlation between APTw and mDixon-Quant imaging parameters. RESULTS: The APTw means were 2.95 ± 0.78% and 2.05 (1.85, 2.65)% in the poorly and well/moderately differentiated groups, respectively. The [Formula: see text] values were 26.62 (21.99, 33.31)/s and 22.93 ± 6.09/s in the poorly and well/moderately differentiated groups, respectively (P < 0.05). The AUCs of APTw, [Formula: see text] , and their combination were 0.762, 0.686, and 0.843, respectively. The Delong test suggested statistical significance between [Formula: see text] and the combination of APTw and [Formula: see text] . [Formula: see text] values showed a significant correlation with APTw values in the poorly differentiated group. CONCLUSIONS: APTw combined with mDixon-Quant can be used to efficiently distinguish the differention degrees of CSC diagnosed on histopathology. |
format | Online Article Text |
id | pubmed-9905693 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-99056932023-02-08 APTw combined with mDixon−Quant imaging to distinguish the differentiation degree of cervical squamous carcinoma Meng, Xing Tian, Shifeng Ma, Changjun Lin, Liangjie Zhang, Xiaoxiao Wang, Jiazheng Song, Qingwei Liu, Ai Lian Front Oncol Oncology BACKGROUND: To investigate the value of amide proton transfer weighted (APTw) imaging combined with modified Dixon fat quantification (mDixon-Quant) imaging in determining the degree of differentiation of cervical squamous carcinoma (CSC) against histopathologic. METHODS: Magnetic resonance imaging (MRI) data were collected from 52 CSC patients. According to histopathologic results, patients were divided into the poorly differentiated group (37 cases) and the well/moderately differentiated group (15 cases). The APTw value by APTw imaging and the fat fraction (FF) and transverse relaxation rate [Formula: see text] values by mDixon-Quant were independently measured by two radiologists. Intra-class correlation coefficients (ICCs) were used to test the consistency of APTw, FF, and [Formula: see text] values measured by the two observers. The Mann-Whitney U test was used to analyze the difference in each parameter between the two groups. Logistic regression analysis was used to assess the association between the degree of differentiation on histopathology and imaging parameters by APTw and mDixon Quant. The ROC curve was used to evaluate the diagnostic efficacy of various parameters and their combination in distinguishing the degree of CSC differentiation on histopathology. The DeLong test was used to access the differences among the area under the ROC curves (AUCs). The Pearson correlation coefficient was used to evaluate the correlation between APTw and mDixon-Quant imaging parameters. RESULTS: The APTw means were 2.95 ± 0.78% and 2.05 (1.85, 2.65)% in the poorly and well/moderately differentiated groups, respectively. The [Formula: see text] values were 26.62 (21.99, 33.31)/s and 22.93 ± 6.09/s in the poorly and well/moderately differentiated groups, respectively (P < 0.05). The AUCs of APTw, [Formula: see text] , and their combination were 0.762, 0.686, and 0.843, respectively. The Delong test suggested statistical significance between [Formula: see text] and the combination of APTw and [Formula: see text] . [Formula: see text] values showed a significant correlation with APTw values in the poorly differentiated group. CONCLUSIONS: APTw combined with mDixon-Quant can be used to efficiently distinguish the differention degrees of CSC diagnosed on histopathology. Frontiers Media S.A. 2023-01-25 /pmc/articles/PMC9905693/ /pubmed/36761975 http://dx.doi.org/10.3389/fonc.2023.1105867 Text en Copyright © 2023 Meng, Tian, Ma, Lin, Zhang, Wang, Song and Liu https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Meng, Xing Tian, Shifeng Ma, Changjun Lin, Liangjie Zhang, Xiaoxiao Wang, Jiazheng Song, Qingwei Liu, Ai Lian APTw combined with mDixon−Quant imaging to distinguish the differentiation degree of cervical squamous carcinoma |
title | APTw combined with mDixon−Quant imaging to distinguish the differentiation degree of cervical squamous carcinoma |
title_full | APTw combined with mDixon−Quant imaging to distinguish the differentiation degree of cervical squamous carcinoma |
title_fullStr | APTw combined with mDixon−Quant imaging to distinguish the differentiation degree of cervical squamous carcinoma |
title_full_unstemmed | APTw combined with mDixon−Quant imaging to distinguish the differentiation degree of cervical squamous carcinoma |
title_short | APTw combined with mDixon−Quant imaging to distinguish the differentiation degree of cervical squamous carcinoma |
title_sort | aptw combined with mdixon−quant imaging to distinguish the differentiation degree of cervical squamous carcinoma |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9905693/ https://www.ncbi.nlm.nih.gov/pubmed/36761975 http://dx.doi.org/10.3389/fonc.2023.1105867 |
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