Preoperative prediction of clinical and pathological stages for patients with esophageal cancer using PET/CT radiomics

Insights into Imaging

Original Article

Jie Lin¹  Weiwei Yin¹  Zhifeng Tian²  Dexi Du²  Xiyao Lei³  Xiance Jin⁴  Zhenhua Zhang⁵  Yao Ai⁶  Juebin Jin⁶  Ji Zhang⁶  Yibo Wu⁶  Congying Xie⁷  Zhuo Cao⁸ 

[1] Department of Nuclear Medicine, 1st Affiliated Hospital of Wenzhou Medical University, 325000, Wenzhou, China;Department of Radiation Oncology, Lishui Municipal Central Hospital, 323000, Lishui, China;Department of Radiation Oncology, Lishui Municipal Central Hospital, 323000, Lishui, China;Department of Radiotherapy Center, 1st Affiliated Hospital of Wenzhou Medical University, 325000, Wenzhou, China;Department of Radiation Oncology, Lishui Municipal Central Hospital, 323000, Lishui, China;Department of Radiotherapy Center, 1st Affiliated Hospital of Wenzhou Medical University, 325000, Wenzhou, China;School of Basic Medical Science, Wenzhou Medical University, 325000, Wenzhou, China;Department of Radiology, 1st Affiliated Hospital of Wenzhou Medical University, 325000, Wenzhou, China;Department of Radiotherapy Center, 1st Affiliated Hospital of Wenzhou Medical University, 325000, Wenzhou, China;Department of Radiotherapy Center, 1st Affiliated Hospital of Wenzhou Medical University, 325000, Wenzhou, China;Department of Medical and Radiation Oncology, 2nd Affiliated Hospital of Wenzhou Medical University, 325000, Wenzhou, China;Department of Respiratory, Lishui People’s Hospital, 323000, Lishui, China;

关键词: Esophageal neoplasms;    PET-CT;    Lymphatic metastasis;    Neoplasm staging;   

DOI  :  10.1186/s13244-023-01528-0

 received in 2023-04-11, accepted in 2023-09-19,  发布年份 2023

来源: Springer

【 摘 要 】

BackgroundPreoperative stratification is critical for the management of patients with esophageal cancer (EC). To investigate the feasibility and accuracy of PET-CT-based radiomics in preoperative prediction of clinical and pathological stages for patients with EC.MethodsHistologically confirmed 100 EC patients with preoperative PET-CT images were enrolled retrospectively and randomly divided into training and validation cohorts at a ratio of 7:3. The maximum relevance minimum redundancy (mRMR) was applied to select optimal radiomics features from PET, CT, and fused PET-CT images, respectively. Logistic regression (LR) was applied to classify the T stage (T1,2 vs. T3,4), lymph node metastasis (LNM) (LNM(−) vs. LNM(+)), and pathological state (pstage) (I–II vs. III–IV) with features from CT (CT_LR_Score), PET (PET_LR_Score), fused PET/CT (Fused_LR_Score), and combined CT and PET features (CT + PET_LR_Score), respectively.ResultsSeven, 10, and 7 CT features; 7, 8, and 7 PET features; and 3, 6, and 3 fused PET/CT features were selected using mRMR for the prediction of T stage, LNM, and pstage, respectively. The area under curves (AUCs) for T stage, LNM, and pstage prediction in the validation cohorts were 0.846, 0.756, 0.665, and 0.815; 0.769, 0.760, 0.665, and 0.824; and 0.727, 0.785, 0.689, and 0.837 for models of CT_LR_Score, PET_ LR_Score, Fused_ LR_Score, and CT + PET_ LR_Score, respectively.ConclusionsAccurate prediction ability was observed with combined PET and CT radiomics in the prediction of T stage, LNM, and pstage for EC patients.Critical relevance statementPET/CT radiomics is feasible and promising to stratify stages for esophageal cancer preoperatively.Key points• PET-CT radiomics achieved the best performance for Node and pathological stage prediction.• CT radiomics achieved the best AUC for T stage prediction.• PET-CT radiomics is feasible and promising to stratify stages for EC preoperatively.Graphical Abstract

【 授权许可】

CC BY   
© European Society of Radiology (ESR) 2023

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