18F-FDG PET/CT-based radiomics model for predicting the degree of pathological differentiation in non-small cell lung cancer: a multicentre study

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作者信息关键词期刊信息基础信息归属信息摘要

成果类型：

期刊论文

作者：

Liu, F.;Xiang, Z.;Li, Q.;Fang, X.;Zhou, J.;...

通讯作者：

Yang, Q;Fang, X

作者机构：

[Xiang, Z.; Li, Q.; Fang, X.; Liu, F.] Univ South China, Affiliated Hosp 2, Hengyang Med Sch, Dept Radiol, Hengyang 421001, Hunan, Peoples R China.

[Zhou, J.] Jiangsu Univ, Affiliated Hosp, Zhenjiang 212001, Jiangsu, Peoples R China.

[Yang, X.] Sichuan Sci City Hosp, Mianyang 621000, Sichuan, Peoples R China.

[Lin, H.] GE Healthcare, Dept Pharmaceut Diag, Changsha 410005, Peoples R China.

[Yang, Q.] Univ South China, Ctr Mol Imaging Probe, Hunan Prov Key Lab Tumor Cellular & Mol Pathol, Canc Res Inst,Hengyang Med Sch, Hengyang 421001, Hunan, Peoples R China.

通讯机构：

[Fang, X ; Yang, Q ] U

Univ South China, Hengyang Med Sch, Canc Res Inst, Hunan Prov Key Lab Tumor Cellular & Mol Pathol,Ctr, 28 West Changsheng Rd, Hengyang 421001, Hunan, Peoples R China.

Univ South China, Affiliated Hosp 2, Dept Radiol, Hengyang Med Sch, 30 Jiefang Rd, Hengyang 421001, Hunan, Peoples R China.

语种：

英文

期刊：

Japanese Journal of Clinical Radiology

ISSN：

0009-9252

年：

2023

卷：

期：

页码：

e147-e155

DOI：

10.1016/j.crad.2023.09.017

基金类别：

Scientific research project of the Hunan Provincial Health Commission of China [202209014713]; Clinical Medical Research Project 4310 of the University of South China; [20214310NHYPY01]

机构署名：

本校为第一且通讯机构

院系归属：

医学院

摘要：

AIM: To explore the value of 2-[18F]-fluoro-2-deoxy-D-glucose (FDG) positron-emission tomography (PET)/computed tomography (CT)-based radiomics model for predicting the degree of pathological differentiation in non-small-cell lung cancer (NSCLC).MATERIALS AND METHODS: Clinical characteristics of 182 NSCLC patients from four centres were collected, and radiomics features were extracted from 18F-FDG PET/CT images. Three logistic regression prediction models were established: clinical model; radiomics model; and nomogram combining radiomics signatures and clinical features. The predictive ability...

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18F-FDG PET/CT-based radiomics model for predicting the degree of pathological differentiation in non-small cell lung cancer: a multicentre study

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