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      Radiological assessment schedule for high-grade glioma patients during the surveillance period using parametric modeling.

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          Abstract

          An optimal radiological surveillance plan is crucial for high-grade glioma (HGG) patients, which is determined arbitrarily in daily clinical practice. We propose the radiological assessment schedule using a parametric model of standardized progression-free survival (PFS) curves.

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          Author and article information

          Journal
          Journal ID (iso-abbrev): Neuro Oncol
          Title: Neuro-oncology
          Publisher: Oxford University Press (OUP)
          ISSN (Electronic): 1523-5866
          ISSN (Print): 1522-8517
          Publication date (Electronic): May 05 2021
          Volume: 23
          Issue: 5
          Affiliations
          [1 ] Department of Neurosurgery, Seoul National University Hospital, Seoul National University College of Medicine.
          [2 ] Department of Statistics, Seoul National University.
          [3 ] Department of Radiation Oncology, Seoul National University Hospital.
          [4 ] Department of Neurology, Seoul National University Hospital.
          [5 ] Department of Pathology, Seoul National University Hospital.
          [6 ] Department of Internal Medicine, Seoul National University Hospital.
          [7 ] Department of Radiology, Seoul National University Hospital.
          Article
          Publisher Item ID: 5948534
          DOI: 10.1093/neuonc/noaa250
          PMC ID: 8099465
          PubMed ID: 33130858
          SO-VID: 03e7f7e3-f652-465c-a004-46c65b4da38d
          History

          Keywords: parametric model,MRI schedule,follow-up,glioblastoma,high-grade glioma
          Data availability:
          Keywords: parametric model, MRI schedule, follow-up, glioblastoma, high-grade glioma

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