Deep learning-based assessment of body composition and liver tumour burden for survival modelling in advanced colorectal cancer.

J Cachexia Sarcopenia Muscle · 2023 · PMC9891942 · PMID 36544260

Europe PMC DOI

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0.0510

closest p · 1.0× alpha

0.0510

boldest claim

The sentences

borderline significanceP = 0.051so close (0.05 < p ≤ 0.1)

3.4 Development of a machine learning model for survival risk prognostication In a multivariate Cox proportional hazards model together with MBR and primary tumour sidedness, CRLM surface area was an independent predictor (HR 4.52, 95% CI: 1.43–14.3, P = 0.01, see Table S5 ), whereas CRLM volume showed only borderline significance (HR 3.00, 95% CI: 1.00–9.05, P = 0.051).

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