Combining the prognostic values of entropy-based heterogeneity features from 18 F-fluorodeoxyglucose PET and transmission computed tomography using machine learning in patients with lung adenocarcinoma undergoing curative surgery.

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Title: Combining the prognostic values of entropy-based heterogeneity features from 18 F-fluorodeoxyglucose PET and transmission computed tomography using machine learning in patients with lung adenocarcinoma undergoing curative surgery.
Authors: Lue KH; Department of Medical Imaging and Radiological Sciences, Tzu Chi University., Chen YH; Department of Medical Imaging and Radiological Sciences, Tzu Chi University.; Department of Nuclear Medicine, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation.; School of Medicine, College of Medicine, Tzu Chi University., Chu SC; School of Medicine, College of Medicine, Tzu Chi University.; Department of Hematology and Oncology., Lin CB; School of Medicine, College of Medicine, Tzu Chi University.; Department of Internal Medicine., Chang BS; Department of Cardiothoracic Surgery., Chang PY; Department of Radiology, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Hualien, Taiwan., Liu SH; Department of Medical Imaging and Radiological Sciences, Tzu Chi University.; Department of Nuclear Medicine, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation.
Source: Nuclear medicine communications [Nucl Med Commun] 2026 Apr 01; Vol. 47 (4), pp. 479-489. Date of Electronic Publication: 2025 Dec 25.
Publication Type: Journal Article
Journal Info: Publisher: Lippincott Williams & Wilkins Country of Publication: England NLM ID: 8201017 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1473-5628 (Electronic) Linking ISSN: 01433636 NLM ISO Abbreviation: Nucl Med Commun Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1473-5628
DOI:10.1097/MNM.0000000000002098