Utilisation of intramuscular and intermuscular fat to develop a new skeletal muscle grading score which can predict treatment outcomes for locally advanced rectal cancer.
Besson A, Cao K, et al. • International journal of colorectal disease • 2026
A novel AI-derived skeletal muscle score (SMS) utilising skeletal muscle and intramuscular/intermuscular adipose tissue measurements is strongly correlated with treatment response and survival in rectal cancer patients, with SMS of zero yielding 0% complete response rate and SMS of four yielding 60% complete response rate.
Key Findings
Results
Overall complete response (oCR) was achieved in 25.7% of patients in this retrospective cohort of locally advanced rectal cancer patients.
Retrospective analysis performed on 226 patients with localised rectal adenocarcinoma
Patients were treated at Western Health between 2013 and 2024
oCR was defined as pathological complete response or sustained clinical complete response for at least 3 years
25.7% of the total cohort achieved oCR
Results
oCR was significantly associated with lower MRI T stage, increased age at diagnosis, and a better SMS, while active smoking decreased oCR in multivariable analysis.
Multivariable analysis identified lower MRI T stage as a significant predictor of oCR
Increased age at diagnosis was positively associated with oCR
Higher SMS score was positively associated with oCR
Active smoking was negatively associated with oCR in multivariable analysis
Results
The Skeletal Muscle Score (SMS) demonstrated a strong gradient in oCR rates, ranging from 0% for SMS of zero to 60% for SMS of four.
SMS was developed as a scored scale from 0 to 4
Patients with an SMS of zero had a 0% oCR rate
Patients with an SMS of four had an oCR rate of 60%
The score was developed to predict overall complete response
Methods
A novel Skeletal Muscle Score (SMS) was developed using AI-derived body composition metrics including skeletal muscle and intramuscular/intermuscular adipose tissue (IMAT) measurements.
Body composition metrics including SM and IMAT volume and density were extracted from the L1-S5 vertebral region
Measurements were extracted using validated AI software enabling 3D body composition analysis
The SMS was scored on a scale of 0 to 4
The score utilised both skeletal muscle (SM) and intermuscular/intramuscular adipose tissue (IMAT) parameters
Results
Higher SMS correlated with improved overall survival, cancer-specific survival, and disease-free survival.
Secondary outcomes included overall survival, cancer-specific survival, and disease-free survival
A higher SMS was associated with improved outcomes across all three survival endpoints
The SMS provided prognostic information beyond treatment response alone
Conclusions
The SMS scoring system is proposed as a tool for individualised risk stratification to enhance patient counselling in rectal cancer.
The SMS is described as a 'novel, AI-derived body composition assessment'
The scoring system 'could provide clinicians with individualised risk stratification to enhance patient counselling'
The study supports increasing evidence that adipose tissue parameters, in addition to sarcopenia measures, have an important role in rectal cancer outcomes
AI advances allowing 3D body composition analysis of IMAT from CT scans underpinned the development of this score
Besson A, Cao K, Rouse M, Yeung J, Reid F, Gibbs P, et al.. (2026). Utilisation of intramuscular and intermuscular fat to develop a new skeletal muscle grading score which can predict treatment outcomes for locally advanced rectal cancer.. International journal of colorectal disease. https://doi.org/10.1007/s00384-026-05106-w