Dataset Information

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

ABSTRACT:

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 (T_1,2 vs. T_3,4), 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.

SUBMITTER: Lei X

PROVIDER: S-EPMC10577114 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature

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Publications

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

Lei Xiyao X Cao Zhuo Z Wu Yibo Y Lin Jie J Zhang Zhenhua Z Jin Juebin J Ai Yao Y Zhang Ji J Du Dexi D Tian Zhifeng Z Xie Congying C Yin Weiwei W Jin Xiance X

Insights into imaging 20231015 1

<h4>Background</h4>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.<h4>Methods</h4>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 r ...[more]

PMID: 37840068

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Dataset Information

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

Background

Methods

Results

Conclusions

Critical relevance statement

Key points

Publications

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

Similar Datasets

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