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DOI 10.1186/s13244-023-01528-0

Медицинская библиотека · Insights into imaging · 2023

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

Lei Xiyao, Cao Zhuo, Wu Yibo, Lin Jie, Zhang Zhenhua, Jin Juebin, Ai Yao, Zhang Ji, Du Dexi, Tian Zhifeng, Xie Congying, Yin Weiwei, Jin Xiance

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Аннотация

BACKGROUND

Preoperative 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.

METHODS

Histologically 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.

RESULTS

Seven, 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.

CONCLUSIONS

Accurate prediction ability was observed with combined PET and CT radiomics in the prediction of T stage, LNM, and pstage for EC patients.

CRITICAL RELEVANCE STATEMENT: PET/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.

Для цитирования: Lei Xiyao, Cao Zhuo, Wu Yibo, Lin Jie, Zhang Zhenhua, Jin Juebin, Ai Yao, Zhang Ji, Du Dexi, Tian Zhifeng, Xie Congying, Yin Weiwei, Jin Xiance. Preoperative prediction of clinical and pathological stages for patients with esophageal cancer using PET/CT radiomics.. Insights into imaging. 2023. DOI: 10.1186/s13244-023-01528-0.
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