Cargando…

Quantitative Analysis and Pathological Basis of Signal Intensity on T2-Weighted MR Images in Benign and Malignant Parotid Tumors

OBJECTIVE: To investigate the value of the signal intensity on T2-weighted magnetic resonance (MR) imaging using quantitative analysis in the differentiation of parotid tumors. MATERIALS AND METHODS: MR data of 80 pleomorphic adenomas (PAs), 68 Warthin tumors (WTs), and 34 malignant tumors (MTs) con...

Descripción completa

Detalles Bibliográficos
Autores principales: Wei, Peiying, Shao, Chang, Tian, Min, Wu, Mengwei, Wang, Haibin, Han, Zhijiang, Hu, Hongjie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8275037/
https://www.ncbi.nlm.nih.gov/pubmed/34262350
http://dx.doi.org/10.2147/CMAR.S319466
_version_ 1783721647241428992
author Wei, Peiying
Shao, Chang
Tian, Min
Wu, Mengwei
Wang, Haibin
Han, Zhijiang
Hu, Hongjie
author_facet Wei, Peiying
Shao, Chang
Tian, Min
Wu, Mengwei
Wang, Haibin
Han, Zhijiang
Hu, Hongjie
author_sort Wei, Peiying
collection PubMed
description OBJECTIVE: To investigate the value of the signal intensity on T2-weighted magnetic resonance (MR) imaging using quantitative analysis in the differentiation of parotid tumors. MATERIALS AND METHODS: MR data of 80 pleomorphic adenomas (PAs), 68 Warthin tumors (WTs), and 34 malignant tumors (MTs) confirmed by surgery and histology were retrospectively analyzed. The signal intensities of tumor, normal parotid gland, spinal cord, and buccal subcutaneous fat were measured, and the signal intensity ratios (SIRs) between the tumor and the three references were calculated. Receiver operating characteristic curve was used to determine the optimal threshold and diagnostic efficiency of SIR for differentiating PAs, WTs, and MTs. RESULTS: The area under the curve (AUC) of tumor to parotid gland SIR (SIR(P)), tumor to spinal cord SIR (SIR(C)), and tumor to buccal subcutaneous fat SIR (SIR(F)) for differentiating PAs and WTs was 0.922, 0.918, and 0.934, respectively. The sensitivity and specificity at an optimal SIR threshold were 86.3% and 91.2%, 80.0% and 97.1%, and 85.0% and 94.1%, respectively. The AUC of SIR(P), SIR(C), and SIR(F) for distinguishing PAs from MTs was 0.793, 0.802, and 0.774, respectively. The sensitivity and specificity at an optimal SIR threshold was 86.3% and 61.8%, 80.0% and 73.5%, and 82.5% and 73.5%, respectively. The AUC of SIR(P), SIR(C), and SIR(F) for distinguishing WTs from MTs was 0.716, 0.709, and 0.759, respectively. The sensitivity and specificity at an optimal SIR threshold were 61.8% and 82.4%, 55.9% and 82.4%, and 64.7% and 86.8%, respectively. CONCLUSION: SIR(P), SIR(C), and SIR(F) on T2-weighted MR images had high diagnostic efficiency for differentiating between PAs and WTs, while SIR(P) and SIR(C) for differentiating between PAs and MTs, and SIR(F) for differentiating between WTs and MTs had relatively high diagnostic efficiency.
format Online
Article
Text
id pubmed-8275037
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Dove
record_format MEDLINE/PubMed
spelling pubmed-82750372021-07-13 Quantitative Analysis and Pathological Basis of Signal Intensity on T2-Weighted MR Images in Benign and Malignant Parotid Tumors Wei, Peiying Shao, Chang Tian, Min Wu, Mengwei Wang, Haibin Han, Zhijiang Hu, Hongjie Cancer Manag Res Original Research OBJECTIVE: To investigate the value of the signal intensity on T2-weighted magnetic resonance (MR) imaging using quantitative analysis in the differentiation of parotid tumors. MATERIALS AND METHODS: MR data of 80 pleomorphic adenomas (PAs), 68 Warthin tumors (WTs), and 34 malignant tumors (MTs) confirmed by surgery and histology were retrospectively analyzed. The signal intensities of tumor, normal parotid gland, spinal cord, and buccal subcutaneous fat were measured, and the signal intensity ratios (SIRs) between the tumor and the three references were calculated. Receiver operating characteristic curve was used to determine the optimal threshold and diagnostic efficiency of SIR for differentiating PAs, WTs, and MTs. RESULTS: The area under the curve (AUC) of tumor to parotid gland SIR (SIR(P)), tumor to spinal cord SIR (SIR(C)), and tumor to buccal subcutaneous fat SIR (SIR(F)) for differentiating PAs and WTs was 0.922, 0.918, and 0.934, respectively. The sensitivity and specificity at an optimal SIR threshold were 86.3% and 91.2%, 80.0% and 97.1%, and 85.0% and 94.1%, respectively. The AUC of SIR(P), SIR(C), and SIR(F) for distinguishing PAs from MTs was 0.793, 0.802, and 0.774, respectively. The sensitivity and specificity at an optimal SIR threshold was 86.3% and 61.8%, 80.0% and 73.5%, and 82.5% and 73.5%, respectively. The AUC of SIR(P), SIR(C), and SIR(F) for distinguishing WTs from MTs was 0.716, 0.709, and 0.759, respectively. The sensitivity and specificity at an optimal SIR threshold were 61.8% and 82.4%, 55.9% and 82.4%, and 64.7% and 86.8%, respectively. CONCLUSION: SIR(P), SIR(C), and SIR(F) on T2-weighted MR images had high diagnostic efficiency for differentiating between PAs and WTs, while SIR(P) and SIR(C) for differentiating between PAs and MTs, and SIR(F) for differentiating between WTs and MTs had relatively high diagnostic efficiency. Dove 2021-07-07 /pmc/articles/PMC8275037/ /pubmed/34262350 http://dx.doi.org/10.2147/CMAR.S319466 Text en © 2021 Wei et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Wei, Peiying
Shao, Chang
Tian, Min
Wu, Mengwei
Wang, Haibin
Han, Zhijiang
Hu, Hongjie
Quantitative Analysis and Pathological Basis of Signal Intensity on T2-Weighted MR Images in Benign and Malignant Parotid Tumors
title Quantitative Analysis and Pathological Basis of Signal Intensity on T2-Weighted MR Images in Benign and Malignant Parotid Tumors
title_full Quantitative Analysis and Pathological Basis of Signal Intensity on T2-Weighted MR Images in Benign and Malignant Parotid Tumors
title_fullStr Quantitative Analysis and Pathological Basis of Signal Intensity on T2-Weighted MR Images in Benign and Malignant Parotid Tumors
title_full_unstemmed Quantitative Analysis and Pathological Basis of Signal Intensity on T2-Weighted MR Images in Benign and Malignant Parotid Tumors
title_short Quantitative Analysis and Pathological Basis of Signal Intensity on T2-Weighted MR Images in Benign and Malignant Parotid Tumors
title_sort quantitative analysis and pathological basis of signal intensity on t2-weighted mr images in benign and malignant parotid tumors
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8275037/
https://www.ncbi.nlm.nih.gov/pubmed/34262350
http://dx.doi.org/10.2147/CMAR.S319466
work_keys_str_mv AT weipeiying quantitativeanalysisandpathologicalbasisofsignalintensityont2weightedmrimagesinbenignandmalignantparotidtumors
AT shaochang quantitativeanalysisandpathologicalbasisofsignalintensityont2weightedmrimagesinbenignandmalignantparotidtumors
AT tianmin quantitativeanalysisandpathologicalbasisofsignalintensityont2weightedmrimagesinbenignandmalignantparotidtumors
AT wumengwei quantitativeanalysisandpathologicalbasisofsignalintensityont2weightedmrimagesinbenignandmalignantparotidtumors
AT wanghaibin quantitativeanalysisandpathologicalbasisofsignalintensityont2weightedmrimagesinbenignandmalignantparotidtumors
AT hanzhijiang quantitativeanalysisandpathologicalbasisofsignalintensityont2weightedmrimagesinbenignandmalignantparotidtumors
AT huhongjie quantitativeanalysisandpathologicalbasisofsignalintensityont2weightedmrimagesinbenignandmalignantparotidtumors