Cargando…

MR-Based Radiomics for Differential Diagnosis between Cystic Pituitary Adenoma and Rathke Cleft Cyst

BACKGROUND: It is often tricky to differentiate cystic pituitary adenoma from Rathke cleft cyst with visual inspection because of similar MRI presentations between them. We aimed to design an MR-based radiomics model for improving differential diagnosis between them. METHODS: Conventional diagnostic...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Yanping, Chen, Sixuan, Shi, Feng, Cheng, Xiaoqing, Xu, Qiang, Li, Jianrui, Luo, Song, Jiang, Pengbo, Wei, Ying, Zhou, Changsheng, Zheng, Lijuan, Xia, Kaiwei, Lu, Guangming, Zhang, Zhiqiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8373489/
https://www.ncbi.nlm.nih.gov/pubmed/34422095
http://dx.doi.org/10.1155/2021/6438861
_version_ 1783739951654895616
author Wang, Yanping
Chen, Sixuan
Shi, Feng
Cheng, Xiaoqing
Xu, Qiang
Li, Jianrui
Luo, Song
Jiang, Pengbo
Wei, Ying
Zhou, Changsheng
Zheng, Lijuan
Xia, Kaiwei
Lu, Guangming
Zhang, Zhiqiang
author_facet Wang, Yanping
Chen, Sixuan
Shi, Feng
Cheng, Xiaoqing
Xu, Qiang
Li, Jianrui
Luo, Song
Jiang, Pengbo
Wei, Ying
Zhou, Changsheng
Zheng, Lijuan
Xia, Kaiwei
Lu, Guangming
Zhang, Zhiqiang
author_sort Wang, Yanping
collection PubMed
description BACKGROUND: It is often tricky to differentiate cystic pituitary adenoma from Rathke cleft cyst with visual inspection because of similar MRI presentations between them. We aimed to design an MR-based radiomics model for improving differential diagnosis between them. METHODS: Conventional diagnostic MRI data (T1-,T2-, and postcontrast T1-weighted MR images) were obtained from 215 pathologically confirmed patients (105 cases with cystic pituitary adenoma and the other 110 cases with Rathke cleft cyst) and were divided into training (n = 172) and test sets (n = 43). MRI radiomics features were extracted from the imaging data, and semantic imaging features (n = 15) were visually estimated by two radiologists. Four classifiers were used to construct radiomics models through 5-fold crossvalidation after feature selection with least absolute shrinkage and selection operator. An integrated model by combining radiomics and semantic features was further constructed. The diagnostic performance was validated in the test set. Receiver operating characteristic curve was used to evaluate and compare the performance of the models at the background of diagnostic performance by radiologist. RESULTS: In test set, the combined radiomics and semantic model using ANN classifier obtained the best classification performance with an AUC of 0.848 (95% CI: 0.750-0.946), accuracy of 76.7% (95% CI: 64.1-89.4%), sensitivity of 73.9% (95% CI: 56.0-91.9%), and specificity of 80.0% (95% CI: 62.5-97.5%) and performed better than multiparametric model (AUC = 0.792, 95% CI: 0.674-0.910) or semantic model (AUC = 0.823, 95% CI: 0.705-0.941). The two radiologists had an accuracy of 69.8% and 74.4%, respectively, sensitivity of 69.6% and 73.9%, and specificity of 70.0% and 75.0%. CONCLUSIONS: The MR-based radiomics model had technical feasibility and good diagnostic performance in the differential diagnosis between cystic pituitary adenoma and Rathke cleft cyst.
format Online
Article
Text
id pubmed-8373489
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Hindawi
record_format MEDLINE/PubMed
spelling pubmed-83734892021-08-19 MR-Based Radiomics for Differential Diagnosis between Cystic Pituitary Adenoma and Rathke Cleft Cyst Wang, Yanping Chen, Sixuan Shi, Feng Cheng, Xiaoqing Xu, Qiang Li, Jianrui Luo, Song Jiang, Pengbo Wei, Ying Zhou, Changsheng Zheng, Lijuan Xia, Kaiwei Lu, Guangming Zhang, Zhiqiang Comput Math Methods Med Research Article BACKGROUND: It is often tricky to differentiate cystic pituitary adenoma from Rathke cleft cyst with visual inspection because of similar MRI presentations between them. We aimed to design an MR-based radiomics model for improving differential diagnosis between them. METHODS: Conventional diagnostic MRI data (T1-,T2-, and postcontrast T1-weighted MR images) were obtained from 215 pathologically confirmed patients (105 cases with cystic pituitary adenoma and the other 110 cases with Rathke cleft cyst) and were divided into training (n = 172) and test sets (n = 43). MRI radiomics features were extracted from the imaging data, and semantic imaging features (n = 15) were visually estimated by two radiologists. Four classifiers were used to construct radiomics models through 5-fold crossvalidation after feature selection with least absolute shrinkage and selection operator. An integrated model by combining radiomics and semantic features was further constructed. The diagnostic performance was validated in the test set. Receiver operating characteristic curve was used to evaluate and compare the performance of the models at the background of diagnostic performance by radiologist. RESULTS: In test set, the combined radiomics and semantic model using ANN classifier obtained the best classification performance with an AUC of 0.848 (95% CI: 0.750-0.946), accuracy of 76.7% (95% CI: 64.1-89.4%), sensitivity of 73.9% (95% CI: 56.0-91.9%), and specificity of 80.0% (95% CI: 62.5-97.5%) and performed better than multiparametric model (AUC = 0.792, 95% CI: 0.674-0.910) or semantic model (AUC = 0.823, 95% CI: 0.705-0.941). The two radiologists had an accuracy of 69.8% and 74.4%, respectively, sensitivity of 69.6% and 73.9%, and specificity of 70.0% and 75.0%. CONCLUSIONS: The MR-based radiomics model had technical feasibility and good diagnostic performance in the differential diagnosis between cystic pituitary adenoma and Rathke cleft cyst. Hindawi 2021-08-10 /pmc/articles/PMC8373489/ /pubmed/34422095 http://dx.doi.org/10.1155/2021/6438861 Text en Copyright © 2021 Yanping Wang et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Wang, Yanping
Chen, Sixuan
Shi, Feng
Cheng, Xiaoqing
Xu, Qiang
Li, Jianrui
Luo, Song
Jiang, Pengbo
Wei, Ying
Zhou, Changsheng
Zheng, Lijuan
Xia, Kaiwei
Lu, Guangming
Zhang, Zhiqiang
MR-Based Radiomics for Differential Diagnosis between Cystic Pituitary Adenoma and Rathke Cleft Cyst
title MR-Based Radiomics for Differential Diagnosis between Cystic Pituitary Adenoma and Rathke Cleft Cyst
title_full MR-Based Radiomics for Differential Diagnosis between Cystic Pituitary Adenoma and Rathke Cleft Cyst
title_fullStr MR-Based Radiomics for Differential Diagnosis between Cystic Pituitary Adenoma and Rathke Cleft Cyst
title_full_unstemmed MR-Based Radiomics for Differential Diagnosis between Cystic Pituitary Adenoma and Rathke Cleft Cyst
title_short MR-Based Radiomics for Differential Diagnosis between Cystic Pituitary Adenoma and Rathke Cleft Cyst
title_sort mr-based radiomics for differential diagnosis between cystic pituitary adenoma and rathke cleft cyst
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8373489/
https://www.ncbi.nlm.nih.gov/pubmed/34422095
http://dx.doi.org/10.1155/2021/6438861
work_keys_str_mv AT wangyanping mrbasedradiomicsfordifferentialdiagnosisbetweencysticpituitaryadenomaandrathkecleftcyst
AT chensixuan mrbasedradiomicsfordifferentialdiagnosisbetweencysticpituitaryadenomaandrathkecleftcyst
AT shifeng mrbasedradiomicsfordifferentialdiagnosisbetweencysticpituitaryadenomaandrathkecleftcyst
AT chengxiaoqing mrbasedradiomicsfordifferentialdiagnosisbetweencysticpituitaryadenomaandrathkecleftcyst
AT xuqiang mrbasedradiomicsfordifferentialdiagnosisbetweencysticpituitaryadenomaandrathkecleftcyst
AT lijianrui mrbasedradiomicsfordifferentialdiagnosisbetweencysticpituitaryadenomaandrathkecleftcyst
AT luosong mrbasedradiomicsfordifferentialdiagnosisbetweencysticpituitaryadenomaandrathkecleftcyst
AT jiangpengbo mrbasedradiomicsfordifferentialdiagnosisbetweencysticpituitaryadenomaandrathkecleftcyst
AT weiying mrbasedradiomicsfordifferentialdiagnosisbetweencysticpituitaryadenomaandrathkecleftcyst
AT zhouchangsheng mrbasedradiomicsfordifferentialdiagnosisbetweencysticpituitaryadenomaandrathkecleftcyst
AT zhenglijuan mrbasedradiomicsfordifferentialdiagnosisbetweencysticpituitaryadenomaandrathkecleftcyst
AT xiakaiwei mrbasedradiomicsfordifferentialdiagnosisbetweencysticpituitaryadenomaandrathkecleftcyst
AT luguangming mrbasedradiomicsfordifferentialdiagnosisbetweencysticpituitaryadenomaandrathkecleftcyst
AT zhangzhiqiang mrbasedradiomicsfordifferentialdiagnosisbetweencysticpituitaryadenomaandrathkecleftcyst