AI-powered lesion delineation in prostate cancer PET/CT imaging

· News-Medical

A new editorial paper was published in Oncoscience (Volume 11) on May 20, 2024, entitled, "Deep learning-assisted lesion segmentation in PET/CT imaging: A feasibility study for salvage radiation therapy in prostate cancer."

Traditional imaging modalities employed post-prostatectomy, such as CT, bone scans, MRI or 18F-FDG PET, often fall short in accurately detecting and determining the volume of the recurrent disease, which is crucial for salvage radiation treatment planning. However, the introduction of 18F-fluciclovine (anti-1-amino-3-18F-fluorocyclobutane-1-carboxylic acid) PET/CT has marked a significant advancement in salvage disease management. Recent studies, including the phase 2/3 randomized controlled trial, Emory Molecular Prostate Imaging for Radiotherapy Enhancement (EMPIRE-1), demonstrated improved biochemical recurrence or persistence free survival rates when incorporating 18F-fluciclovine PET/CT into post-prostatectomy radiation therapy planning.

"This editorial explores the research study by Wang et al., showcasing the feasibility of DL models in lesion segmentation on 18F-fluciclovine PET/CT images."

Source:

Oncoscience

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