Copenhagen, Denmark
Onsite/Online

ESTRO 2022

Session Item

Upper GI
6010
Poster (digital)
Clinical
Skeletal muscle measured at T12 is a prognostic biomarker in oesophageal cancer patients
Donal McSweeney, United Kingdom
PO-1286

Abstract

Skeletal muscle measured at T12 is a prognostic biomarker in oesophageal cancer patients
Authors:

Donal McSweeney1, Ganesh Radhakrishna2, Andrew Green1, Paul A. Bromiley3, Marcel van Herk1, Alan McWilliam1

1University of Manchester, Division of Cancer Sciences, Manchester, United Kingdom; 2The Christie NHS Foundation Trust, Department of Medical Oncology, Manchester, United Kingdom; 3University of Manchester, Division of Informatics, Imaging and Data Sciences, Manchester, United Kingdom

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Purpose or Objective

Sarcopenia is emerging as a prognostic factor for multiple patient groups treated with radiotherapy (RT) where it is associated with increased toxicity and decreased overall survival. Sarcopenia is typically assessed via the skeletal muscle index (SMI): skeletal muscle area at L3 normalised by patient height. Therefore, cohorts where routine imaging does not include L3 are often neglected. 


Patients with oesophageal cancer are known to experience malnutrition and weight loss, associated with poorer outcomes. In this work, we explore the utility of SMI, measured at T12, as a prognostic factor in patients with oesophageal cancer treated with concurrent chemoradiotherapy (CCRT).  We then compare sarcopenia with other measures of patient frailty: performance status (PS) and body mass index (BMI).

Material and Methods

103 patients with oesophageal cancer treated with CCRT, 50Gy in 25 fractions, were retrospectively collected. Patient characteristics are shown in Table 1. T12 was manually identified on RT planning scans. An in-house artificial intelligence algorithm was then used to segment the skeletal muscle compartment at T12 and segmentations were visually assessed for accuracy.

Muscle area was extracted and SMI at T12 calculated for all patients with successful delineations. Prognostic value was investigated using Kaplan-Meier curves (split on sex-specific median SMI) and a multivariable Cox model controlling for biological sex, age, tumour volume, PS and BMI. The primary endpoint was overall survival.

Results

After removing segmentation failures, 98 patients were available. Kaplan-Meier curves did not show significant differences in overall survival when split on sex-specific median SMI (Figure 1; log-rank p=0.074). However, in multivariable analysis, SMI was significantly associated with survival (HR=0.73, p=0.044), where a higher SMI seems to be protective (Table 2). The results suggest that there is an interaction between SMI and other factors in the multivariable model, showing that SMI provides additional prognostic information beyond PS and BMI.


Conclusion

We show that SMI, evaluated at T12 using routine planning scans, is a prognostic factor in patients with oesophageal cancer treated with CCRT, with increased muscle mass being protective. Results from our multivariable Cox model show that SMI provides additional information beyond PS and BMI. Although our results require further validation, SMI shows promise for patient treatment stratification.