Cargando…
Enhanced CT combined with texture analysis for differential diagnosis of pleomorphic adenoma and adenolymphoma
OBJECTIVE: This study sought to evaluate the worth of the general characteristics of enhanced CT images and the histogram parameters of each stage in distinguishing pleomorphic adenoma (PA) and adenolymphoma (AL). METHODS: The imaging features and histogram parameters of preoperative enhanced CT ima...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10612226/ https://www.ncbi.nlm.nih.gov/pubmed/37891554 http://dx.doi.org/10.1186/s12880-023-01129-9 |
_version_ | 1785128655480946688 |
---|---|
author | Xia, Feifei Guo, Foqing Liu, Zhe Zeng, Jie Ma, Xuehua Yu, Chongqing Li, Changxue |
author_facet | Xia, Feifei Guo, Foqing Liu, Zhe Zeng, Jie Ma, Xuehua Yu, Chongqing Li, Changxue |
author_sort | Xia, Feifei |
collection | PubMed |
description | OBJECTIVE: This study sought to evaluate the worth of the general characteristics of enhanced CT images and the histogram parameters of each stage in distinguishing pleomorphic adenoma (PA) and adenolymphoma (AL). METHODS: The imaging features and histogram parameters of preoperative enhanced CT images in 20 patients with PA and 29 patients with AL were analyzed. Tumor morphology and histogram parameters of PA and AL were compared. Area under the curve (AUC), sensitivity, and subject operational feature specificity (ROC) analysis were used to determine the differential diagnostic effect of single-stage or multi-stage parameter combinations. RESULTS: The difference in CT value and net enhancement value of arterial phase (AP) were significant (p < 0.05); Flat sweep phase (FSP), AP mean, percentiles, 10th, 50th, 90th, 99th and arterial period variance and venous phase (VP) kurtosis in the nine histogram parameters of each period (p < 0.05). An analysis of the ROC curve revealed a maximum area beneath the curve (AUC) in the 90th percentile of FSP for a single-parameter differential diagnosis to be 0.870. The diagnostic efficacy of the mean value of FSP + The 90th percentile of AP + Kurtosis of VP was the best in multi-parameter combination diagnosis, with an AUC of 0.925, and the sensitivity and specificity of 0.900 and 0.850, respectively. CONCLUSION: The histogram analysis of enhanced CT images is valuable for the differentiation of PA and AL. Moreover, the combination of single-stage parameters or multi-stage parameters can improve the differential diagnosis efficiency. |
format | Online Article Text |
id | pubmed-10612226 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-106122262023-10-29 Enhanced CT combined with texture analysis for differential diagnosis of pleomorphic adenoma and adenolymphoma Xia, Feifei Guo, Foqing Liu, Zhe Zeng, Jie Ma, Xuehua Yu, Chongqing Li, Changxue BMC Med Imaging Research OBJECTIVE: This study sought to evaluate the worth of the general characteristics of enhanced CT images and the histogram parameters of each stage in distinguishing pleomorphic adenoma (PA) and adenolymphoma (AL). METHODS: The imaging features and histogram parameters of preoperative enhanced CT images in 20 patients with PA and 29 patients with AL were analyzed. Tumor morphology and histogram parameters of PA and AL were compared. Area under the curve (AUC), sensitivity, and subject operational feature specificity (ROC) analysis were used to determine the differential diagnostic effect of single-stage or multi-stage parameter combinations. RESULTS: The difference in CT value and net enhancement value of arterial phase (AP) were significant (p < 0.05); Flat sweep phase (FSP), AP mean, percentiles, 10th, 50th, 90th, 99th and arterial period variance and venous phase (VP) kurtosis in the nine histogram parameters of each period (p < 0.05). An analysis of the ROC curve revealed a maximum area beneath the curve (AUC) in the 90th percentile of FSP for a single-parameter differential diagnosis to be 0.870. The diagnostic efficacy of the mean value of FSP + The 90th percentile of AP + Kurtosis of VP was the best in multi-parameter combination diagnosis, with an AUC of 0.925, and the sensitivity and specificity of 0.900 and 0.850, respectively. CONCLUSION: The histogram analysis of enhanced CT images is valuable for the differentiation of PA and AL. Moreover, the combination of single-stage parameters or multi-stage parameters can improve the differential diagnosis efficiency. BioMed Central 2023-10-27 /pmc/articles/PMC10612226/ /pubmed/37891554 http://dx.doi.org/10.1186/s12880-023-01129-9 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Xia, Feifei Guo, Foqing Liu, Zhe Zeng, Jie Ma, Xuehua Yu, Chongqing Li, Changxue Enhanced CT combined with texture analysis for differential diagnosis of pleomorphic adenoma and adenolymphoma |
title | Enhanced CT combined with texture analysis for differential diagnosis of pleomorphic adenoma and adenolymphoma |
title_full | Enhanced CT combined with texture analysis for differential diagnosis of pleomorphic adenoma and adenolymphoma |
title_fullStr | Enhanced CT combined with texture analysis for differential diagnosis of pleomorphic adenoma and adenolymphoma |
title_full_unstemmed | Enhanced CT combined with texture analysis for differential diagnosis of pleomorphic adenoma and adenolymphoma |
title_short | Enhanced CT combined with texture analysis for differential diagnosis of pleomorphic adenoma and adenolymphoma |
title_sort | enhanced ct combined with texture analysis for differential diagnosis of pleomorphic adenoma and adenolymphoma |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10612226/ https://www.ncbi.nlm.nih.gov/pubmed/37891554 http://dx.doi.org/10.1186/s12880-023-01129-9 |
work_keys_str_mv | AT xiafeifei enhancedctcombinedwithtextureanalysisfordifferentialdiagnosisofpleomorphicadenomaandadenolymphoma AT guofoqing enhancedctcombinedwithtextureanalysisfordifferentialdiagnosisofpleomorphicadenomaandadenolymphoma AT liuzhe enhancedctcombinedwithtextureanalysisfordifferentialdiagnosisofpleomorphicadenomaandadenolymphoma AT zengjie enhancedctcombinedwithtextureanalysisfordifferentialdiagnosisofpleomorphicadenomaandadenolymphoma AT maxuehua enhancedctcombinedwithtextureanalysisfordifferentialdiagnosisofpleomorphicadenomaandadenolymphoma AT yuchongqing enhancedctcombinedwithtextureanalysisfordifferentialdiagnosisofpleomorphicadenomaandadenolymphoma AT lichangxue enhancedctcombinedwithtextureanalysisfordifferentialdiagnosisofpleomorphicadenomaandadenolymphoma |