The Prediction of Radiation-Induced Trismus by the Apparent Diffusion Coefficient Values of Masseter Muscles before Chemoradiotherapy in Locally Advanced Nasopharyngeal Carcinomas.

Diagnostics (Basel)

Adana Dr. Turgut Noyan Application and Research Center, Department of Radiation Oncology, Faculty of Medicine, Baskent University, Adana 01120, Turkey.

Published: October 2024


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Article Abstract

Purpose: Although the apparent diffusion coefficient (ADC) value from diffusion-weighted imaging can provide insights into various pathological processes, no studies have examined the relationship between the pre-concurrent chemoradiotherapy (CCRT) mean ADC (ADC) values of the masseter muscles and radiation-induced trismus (RIT) in locally advanced nasopharyngeal carcinoma (LA-NPC) patients. Therefore, the current research aimed to investigate the significance of pre-CCRT masseter muscle ADC values for predicting the RIT rates in LA-NPC patients treated with definitive CCRT.

Materials And Methods: The pre-CCRT ADC values of the masseter muscles and the post-CCRT RIT rates were evaluated. A receiver operating characteristic curve analysis was employed to determine the optimal ADC cutoff. The primary objective was to examine the relationship between the pre-CCRT masseter muscle ADC values and the post-CCRT RIT rates.

Results: Seventy-seven patients were included. The optimal ADC cutoff value was 1381.30 × 10 mm/s, which divided the patients into two groups: an ADC < 1381.30 × 10 mm/s (n = 49) versus an ADC > 1381.30 × 10 mm/s (n = 28). A masseter muscle ADC > 1381.30 × 10 mm/s was found to be associated with significantly higher RIT rates than an ADC < 1381.30 × 10 mm/s (71.42% vs. 6.12%; < 0.001). The multivariate analysis results confirmed a pre-CCRT masseter muscle ADC > 1381.30 × 10 mm/s as an independent predictor of RIT.

Conclusions: Our study presents the first evidence establishing a connection between elevated masseter muscle ADC values and higher RIT rates in LA-NPC patients following CCRT. If confirmed with further research, these findings may help to categorize the risk of RIT in these patients.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11505873PMC
http://dx.doi.org/10.3390/diagnostics14202268DOI Listing

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