Feasibility of Using <sup>18</sup>F-FDG PET/CT Radiomics and Machine Learning to Detect Drug-Induced Interstitial Lung Disease

Feasibility of Using <sup>18</sup>F-FDG PET/CT Radiomics and Machine Learning to Detect Drug-Induced Interstitial Lung Disease

Background: Bleomycin is an oncolytic and antibiotic agent used to treat various human cancers because of its antitumor activity. Unfortunately, up to 46% of the patients treated with bleomycin develop drug-induced interstitial lung disease (DIILD) and potentially life-threatening interstitial pulmo...

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Bibliographic Details
Main Authors: Charlotte L. C. Smith, Gerben J. C. Zwezerijnen, Sanne E. Wiegers, Yvonne W. S. Jauw, Pieternella J. Lugtenburg, Josée M. Zijlstra, Maqsood Yaqub, Ronald Boellaard
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Diagnostics
Subjects:
drug-induced interstitial lung disease
bleomycin
<sup>18</sup>F-FDG PET/CT
machine learning and radiomics
Online Access:https://www.mdpi.com/2075-4418/14/22/2531

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https://www.mdpi.com/2075-4418/14/22/2531

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