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Related Experiment Videos

Monitoring brain tumor response to therapy using MRI segmentation

M Vaidyanathan1, L P Clarke, L O Hall

  • 1Department of Radiology, University of South Florida, Tampa 33612, USA.

Magnetic Resonance Imaging
|January 1, 1997
PubMed
Summary
This summary is machine-generated.

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This study evaluated the semi-supervised fuzzy c-means (SFCM) method for brain tumor volume monitoring. SFCM and kNN multispectral methods are preferred for assessing relative tumor volume changes during treatment.

Area of Science:

  • Radiology and Medical Imaging
  • Computational Biology
  • Oncology

Background:

  • Accurate monitoring of brain tumor volume changes is crucial for evaluating treatment efficacy during radiation and chemotherapy.
  • Existing methods for tumor volume segmentation present challenges in reproducibility and accuracy, especially after treatment.

Purpose of the Study:

  • To evaluate the performance of a semi-supervised fuzzy c-means (SFCM) clustering method for monitoring brain tumor volume changes.
  • To compare SFCM with k-nearest neighbor (kNN), intensity-based seed growing (ISG-SG), and ground truth (GT) manual labeling methods.
  • To assess the reproducibility and accuracy of these methods for both absolute and relative tumor volume measurements.

Main Methods:

  • SFCM and kNN methods were applied to multispectral MRI (T1, proton density, T2 weighted).

Related Experiment Videos

  • ISG-SG and GT methods were applied to contrast-enhanced T1-weighted MRI only.
  • Volume estimations were performed on eight patient cases with follow-up MRI scans over 32 weeks, including meningioma, brain metastases, and gliomas.
  • Main Results:

    • Limited agreement was found between segmentation methods for absolute tumor volume measurements post-treatment.
    • Average intraobserver reproducibility was 5.8% (SFCM), 6.6% (kNN), and 8.9% (ISG-SG).
    • Average interobserver reproducibility was 5.5% (SFCM), 6.5% (kNN), and 11.4% (ISG-SG).

    Conclusions:

    • Multispectral methods, specifically kNN and SFCM, are preferred for measuring relative changes in tumor volume for treatment response assessment.
    • SFCM demonstrates good reproducibility for brain tumor volume monitoring.
    • Further validation is needed for absolute volume measurements in post-treatment scenarios.