Literature DB >> 31821913

Does Surveillance-Detected Disease Progression Yield Superior Patient Outcomes in High-Grade Glioma?

Courtney L Monroe1, Sarah Travers1, Henok G Woldu2, N Scott Litofsky3.   

Abstract

BACKGROUND: Standard follow-up care for patients with high-grade glioma (HGG) involves routine surveillance imaging to detect disease progression, assess treatment response, and monitor clinical symptoms. Although logical in nature, evidence supporting this practice is limited. We hypothesize patients with tumor recurrence detected on routine surveillance imaging will experience superior outcomes relative to symptomatic detection, using measures of survival and postrecurrence neurologic function.
METHODS: Adult patients receiving treatment for HGG at our institution from 2004 to 2018 were identified, and data including tumor characteristics, imaging results, neurologic status, and survival were extracted from the medical records of patients meeting inclusion criteria. All participants were followed for a minimum of 12 months, or for survival duration. Survival and neurologic function differences were assessed using log rank and 2-sample t tests with 2-sided 0.05 alpha level of significance.
RESULTS: Of the 74 patients meeting inclusion criteria, 47 (63.5%) had recurrence detected via routine surveillance imaging, and 27 (36.5%) had symptomatic detection outside of the surveillance schedule. Neither median overall survival (14.8 months for surveillance and 15.7 months for symptomatic; P = 0.600) nor postrecurrence neurologic function (assessed by Karnofsky Performance Scale Index and Eastern Cooperative Oncology Group) differed between the surveillance and symptomatic detection groups (P = 0.699 and P = 0.908, respectively).
CONCLUSIONS: Recurrence detection occurring via routine surveillance imaging did not yield superior patient outcomes relative to symptomatic detection occurring outside of the standard surveillance schedule in patients with HGG. Further evaluation of surveillance imaging and alternative follow-up methods for this patient population may be warranted.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Follow-up care; High-grade glioma; Recurrent glioblastoma; Surveillance imaging

Mesh:

Year:  2019        PMID: 31821913     DOI: 10.1016/j.wneu.2019.12.001

Source DB:  PubMed          Journal:  World Neurosurg        ISSN: 1878-8750            Impact factor:   2.104


  3 in total

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

Authors:  So Young Ji; Jongjin Lee; Joo Ho Lee; Soon-Tae Lee; Jae Kyung Won; Jin Wook Kim; Yong Hwy Kim; Tae Min Kim; Seung Hong Choi; Sung-Hye Park; Yongdai Kim; Chul-Kee Park
Journal:  Neuro Oncol       Date:  2021-05-05       Impact factor: 12.300

Review 2.  Surveillance imaging frequency in adult patients with lower-grade (WHO Grade 2 and 3) gliomas.

Authors:  Jasmin Jo; Martin J van den Bent; Burt Nabors; Patrick Y Wen; David Schiff
Journal:  Neuro Oncol       Date:  2022-07-01       Impact factor: 13.029

3.  Is there an optimal MRI surveillance schedule for patients with high-grade glioma after standard-of-care-therapy?

Authors:  Mary Jane Lim-Fat; Pejman Jabehdar Maralani
Journal:  Neuro Oncol       Date:  2021-05-05       Impact factor: 12.300

  3 in total

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