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In Vivo Model for Testing Effect of Hypoxia on Tumor Metastasis

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The velocity of temporalis muscle wasting in cerebral metastasis is prognostic for poor survival.

Artem Rafaelian¹, Sae-Yeon Won¹, Bedjan Behmanesh¹

¹Department of Neurosurgery, Rostock University Medical Center, Rostock, Germany.

Frontiers in Oncology

|March 17, 2025

Summary

The speed of temporalis muscle atrophy (TMA) impacts survival in brain metastasis patients. Slower TMA rates correlate with significantly longer overall and progression-free survival, suggesting TMA velocity is a key prognostic indicator.

Keywords:

cerebral metastases frailty sarcopenia survival analysis temporal muscle

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Area of Science:

Neurosurgery
Oncology
Radiology

Background:

Temporalis muscle thickness on CT scans is a potential marker for patient frailty and prognosis in brain tumor cases.
The velocity of temporalis muscle atrophy (TMA) has not been extensively studied in relation to outcomes for patients with cerebral metastases.

Purpose of the Study:

To investigate the impact of temporalis muscle atrophy (TMA) velocity on patient outcomes after resection of cerebral metastases.
To determine if the rate of muscle wasting predicts survival and progression in this patient cohort.

Main Methods:

Analysis of radiological and clinical data from 96 patients undergoing craniotomy for cerebral metastasis resection.
Correlation of TMA velocity with clinical course and patient outcomes, including overall survival and progression-free survival.

Main Results:

A median TMA velocity of 0.0016 mm/day was observed.
Patients with slow TMA rates demonstrated significantly longer overall survival (37.7 vs. 22.9 months, p=0.0007) and progression-free survival (7.6 vs. 4.38 months, p<0.0001).
Postoperative overall survival was also significantly improved in the slow TMA group (8.9 vs. 5.1 months, p=0.0002).

Conclusions:

The velocity of temporalis muscle atrophy (TMA) serves as an objective and dynamic prognostic index for patients with cerebral metastases.
TMA velocity has potential for improving survival prognostication in neuro-oncology patients.