Article

Predicting pathological highly invasive lung cancer from preoperative 18F-FDG PET/CT with multiple machine learning models

2022-09-23

Abstract excerpt

<h4>Purpose: </h4> The efficacy of sublobar resection of primary lung cancer have been proven in recent years. However, sublobar resection for highly invasive lung cancer increases local recurrence. We developed and validated multiple machine learning models predicting pathological invasiveness of lung cancer based on preoperative 18F-fluorodeoxyglucose (FDG) positron emission tomography (PET) and computed tomogra...

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Literature Corpus work: c1540f2e-77bc-5cb2-a5af-4b69b35e49ef
DOI: 10.21203/rs.3.rs-2072792/v1

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