The Value of Model Based on Radiomics Features of T2-weighted Imaging and Clinical Feature in Diagnosing the Depth of Stromal Invasion of Cervical Squamous Cell Carcinoma

Objective To investigate the prediction value of a clinical-radiomics model based on T2- weighted imaging (T2WI) and clinical features for diagnosing deep stromal invasion (DSI) in patients with early-stage cervical squamous cell carcinoma. Methods Patients with early-stage cervical squamous cell...

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Autores principales:	REN Jing, HE Yonglan, LI Yuan, CAO Ying, XIA Chen, XIANG Yang, XUE Huadan, JIN Zhengyu
Formato:	article
Lenguaje:	ZH
Publicado:	Editorial Office of Medical Journal of Peking Union Medical College Hospital 2021
Materias:	early-stage cervical carcinoma squamous cell carcinoma deep stromal invasion radiomics Medicine R
Acceso en línea:	https://doaj.org/article/b747ba19bf464533bbd8a734a4797f4c
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spelling	oai:doaj.org-article:b747ba19bf464533bbd8a734a4797f4c2021-12-01T01:44:28ZThe Value of Model Based on Radiomics Features of T2-weighted Imaging and Clinical Feature in Diagnosing the Depth of Stromal Invasion of Cervical Squamous Cell Carcinoma1674-908110.12290/xhyxzz.2021-0437https://doaj.org/article/b747ba19bf464533bbd8a734a4797f4c2021-10-01T00:00:00Zhttps://xhyxzz.pumch.cn/en/article/doi/10.12290/xhyxzz.2021-0437https://doaj.org/toc/1674-9081Objective To investigate the prediction value of a clinical-radiomics model based on T2- weighted imaging (T2WI) and clinical features for diagnosing deep stromal invasion (DSI) in patients with early-stage cervical squamous cell carcinoma. Methods Patients with early-stage cervical squamous cell carcinoma that underwent radical hysterectomy in Peking Union Medical College Hospital from January 2017 to February 2021 were retrospectively included and randomly divided into the training set and the validation set with the the ratio of 8∶2. The preoperative clinical features and the radiomics features of sagittal T2WI images were obtained. After selection of key features, a radiomics model, a clinical model, and a clinical-radiomics model for diagnosing DSI in early-stage cervical squamous cell carcinoma were developed by Logistic regression based on the training set. The performance of different models was compared by the receiver operating characteristic (ROC) curve in the validation set. Results A total of 168 patients with early-stage cervical squamous cell carcinoma that met the inclusion and exclusion criteria were included in this study. They were randomly divided into the training set (n=135) and the validation set (n=33), in which 72 cases had histopathologically confirmed superficial stromal invasion and 96 cases had DSI. Four radiomics features and three clinical parameters (age, Federation International of Gynecology and Obstetrics stage, and preoperative squamous cell carcinoma antigen levels) were selected and used to develop models. In the validation set, the clinical-radiomics model showed better diagnostic performance with the area under the curve (AUC) of 0.820 (95% CI: 0.665-0.974) than the clinical model[AUC: 0.797(95% CI: 0.623-0.971)] and the radiomics model[AUC: 0.793(95% CI: 0.633-0.954)].The sensitivity, specificity, and accuracy of the clinical-radiomics model were 85.7%(95% CI: 49.8%-100%), 73.7%(95% CI: 57.9%-100%), and 78.8%(95% CI: 69.7%-93.9%), respectively. Conclusion Radiomics features based on T2WI images combined with clinical features can be used as a noninvasive preoperative method to determine the depth of stromal invasion in early-stage cervical squamous cell carcinoma.REN JingHE YonglanLI YuanCAO YingXIA ChenXIANG YangXUE HuadanJIN ZhengyuEditorial Office of Medical Journal of Peking Union Medical College Hospitalarticleearly-stage cervical carcinomasquamous cell carcinomadeep stromal invasionradiomicsMedicineRZHXiehe Yixue Zazhi, Vol 12, Iss 5, Pp 705-712 (2021)
institution	DOAJ
collection	DOAJ
language	ZH
topic	early-stage cervical carcinoma squamous cell carcinoma deep stromal invasion radiomics Medicine R
spellingShingle	early-stage cervical carcinoma squamous cell carcinoma deep stromal invasion radiomics Medicine R REN Jing HE Yonglan LI Yuan CAO Ying XIA Chen XIANG Yang XUE Huadan JIN Zhengyu The Value of Model Based on Radiomics Features of T2-weighted Imaging and Clinical Feature in Diagnosing the Depth of Stromal Invasion of Cervical Squamous Cell Carcinoma
description	Objective To investigate the prediction value of a clinical-radiomics model based on T2- weighted imaging (T2WI) and clinical features for diagnosing deep stromal invasion (DSI) in patients with early-stage cervical squamous cell carcinoma. Methods Patients with early-stage cervical squamous cell carcinoma that underwent radical hysterectomy in Peking Union Medical College Hospital from January 2017 to February 2021 were retrospectively included and randomly divided into the training set and the validation set with the the ratio of 8∶2. The preoperative clinical features and the radiomics features of sagittal T2WI images were obtained. After selection of key features, a radiomics model, a clinical model, and a clinical-radiomics model for diagnosing DSI in early-stage cervical squamous cell carcinoma were developed by Logistic regression based on the training set. The performance of different models was compared by the receiver operating characteristic (ROC) curve in the validation set. Results A total of 168 patients with early-stage cervical squamous cell carcinoma that met the inclusion and exclusion criteria were included in this study. They were randomly divided into the training set (n=135) and the validation set (n=33), in which 72 cases had histopathologically confirmed superficial stromal invasion and 96 cases had DSI. Four radiomics features and three clinical parameters (age, Federation International of Gynecology and Obstetrics stage, and preoperative squamous cell carcinoma antigen levels) were selected and used to develop models. In the validation set, the clinical-radiomics model showed better diagnostic performance with the area under the curve (AUC) of 0.820 (95% CI: 0.665-0.974) than the clinical model[AUC: 0.797(95% CI: 0.623-0.971)] and the radiomics model[AUC: 0.793(95% CI: 0.633-0.954)].The sensitivity, specificity, and accuracy of the clinical-radiomics model were 85.7%(95% CI: 49.8%-100%), 73.7%(95% CI: 57.9%-100%), and 78.8%(95% CI: 69.7%-93.9%), respectively. Conclusion Radiomics features based on T2WI images combined with clinical features can be used as a noninvasive preoperative method to determine the depth of stromal invasion in early-stage cervical squamous cell carcinoma.
format	article
author	REN Jing HE Yonglan LI Yuan CAO Ying XIA Chen XIANG Yang XUE Huadan JIN Zhengyu
author_facet	REN Jing HE Yonglan LI Yuan CAO Ying XIA Chen XIANG Yang XUE Huadan JIN Zhengyu
author_sort	REN Jing
title	The Value of Model Based on Radiomics Features of T2-weighted Imaging and Clinical Feature in Diagnosing the Depth of Stromal Invasion of Cervical Squamous Cell Carcinoma
title_short	The Value of Model Based on Radiomics Features of T2-weighted Imaging and Clinical Feature in Diagnosing the Depth of Stromal Invasion of Cervical Squamous Cell Carcinoma
title_full	The Value of Model Based on Radiomics Features of T2-weighted Imaging and Clinical Feature in Diagnosing the Depth of Stromal Invasion of Cervical Squamous Cell Carcinoma
title_fullStr	The Value of Model Based on Radiomics Features of T2-weighted Imaging and Clinical Feature in Diagnosing the Depth of Stromal Invasion of Cervical Squamous Cell Carcinoma
title_full_unstemmed	The Value of Model Based on Radiomics Features of T2-weighted Imaging and Clinical Feature in Diagnosing the Depth of Stromal Invasion of Cervical Squamous Cell Carcinoma
title_sort	value of model based on radiomics features of t2-weighted imaging and clinical feature in diagnosing the depth of stromal invasion of cervical squamous cell carcinoma
publisher	Editorial Office of Medical Journal of Peking Union Medical College Hospital
publishDate	2021
url	https://doaj.org/article/b747ba19bf464533bbd8a734a4797f4c
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The Value of Model Based on Radiomics Features of T2-weighted Imaging and Clinical Feature in Diagnosing the Depth of Stromal Invasion of Cervical Squamous Cell Carcinoma

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