Establishing a predictive model for tumor mutation burden status based on 18F-FDG PET/CT and clinical features of non-small cell lung cancer patients.

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Bibliographic Details
Title: Establishing a predictive model for tumor mutation burden status based on 18F-FDG PET/CT and clinical features of non-small cell lung cancer patients.
Authors: Chen Z; Department of Nuclear Medicine, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China., Chen X; The Center for Clinical Molecular Medical detection, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China., Ju L; Department of Nuclear Medicine, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China., Li Y; Department of Nuclear Medicine, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China., Li W; Department of Nuclear Medicine, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China., Pang H; Department of Nuclear Medicine, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Source: Translational lung cancer research [Transl Lung Cancer Res] 2024 Sep 30; Vol. 13 (9), pp. 2269-2281. Date of Electronic Publication: 2024 Sep 06.
Publication Type: Journal Article
Journal Info: Publisher: Pioneer Bioscience Publishing Company Country of Publication: China NLM ID: 101646875 Publication Model: Print-Electronic Cited Medium: Print ISSN: 2218-6751 (Print) Linking ISSN: 22186751 NLM ISO Abbreviation: Transl Lung Cancer Res Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2218-6751
DOI:10.21037/tlcr-24-416