Interstitial Photodynamic Therapy of Glioblastomas: A Long-Term Follow-up Analysis of Survival and Volumetric MRI

Marco Foglar1, Maximilian Aumiller1,2, Katja Bochmann3,4

  • 1Laser-Forschungslabor, LIFE Center, University Hospital, LMU Munich, 81377 Munich, Germany.

Cancers
|May 13, 2023
PubMed
Abstract

Insights

5-aminolevulinic acid (5-ALA)-mediated interstitial photodynamic therapy (iPDT) offers a promising new treatment for glioblastomas, significantly extending patient survival. MGMT promoter methylation status is a key factor influencing outcomes in patients undergoing iPDT.

Area of Science:

  • Oncology
  • Neurosurgery
  • Medical Imaging

Background:

  • Glioblastomas are aggressive brain tumors with poor prognoses, necessitating novel therapeutic strategies.
  • 5-aminolevulinic acid (5-ALA)-mediated interstitial photodynamic therapy (iPDT) is an emerging treatment with potential for glioblastoma management.

Purpose of the Study:

  • To retrospectively analyze the survival outcomes of glioblastoma patients treated with iPDT.
  • To identify prognostic factors, including MRI characteristics, relevant to survival after iPDT.

Main Methods:

  • Retrospective analysis of 16 de novo glioblastoma patients treated with iPDT as primary therapy.
  • Assessment of survival data (progression-free survival and overall survival).
  • Segmentation and analysis of MRI data to identify prognostic tissue regions and characteristic post-treatment structures.

Main Results:

  • The iPDT cohort demonstrated significantly prolonged progression-free survival (PFS) and overall survival (OS) compared to reference cohorts.
  • 10 out of 16 patients achieved prolonged OS (≥ 24 months).
  • MGMT promoter methylation status was the dominant prognostic factor; other standard prognostic markers (necrosis-tumor ratio, tumor volume, posttreatment enhancement) were less relevant for this iPDT cohort. A characteristic 'iPDT remnant' structure was observed on MRI post-treatment.

Conclusions:

  • iPDT shows significant potential as a glioblastoma treatment, with a substantial proportion of patients experiencing extended survival.
  • Prognostic factors can be derived from patient characteristics and MRI data, but require different interpretation compared to standard treatments.

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