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Body composition as a predictor of cancer-related death in colon cancer: an AI-based volumetric analysis

delete2026-06-20
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OA
AI
M
Michela Polici
B
Benedetta Masci
D
Damiano Caruso *
S
Stefano Nardacci
L
Lapo Nardoni
F
Fiammetta Pacelli
M
Marta Zerunian
D
Domenico De Santis
P
Paolo Mercantini
E
Enrico Fiori
M
Mariarita Tarallo
M
Maria Ciolina
R
Riccardo Ferrari
S
Sang Joon Park
J
Jong-Min Kim
M
Marco Francone
A
Andrea Laghi
DOI:10.1007/s11547-026-02232-xdelete
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Abstract

Abstract

En 中文
To investigate body composition as a predictive biomarker of cancer-related death in patients with non-metastatic colon cancer (CRC). Patients with CRC (stages II–III) treated with upfront surgery, with availability of baseline CT, clinico-histological and survival data were retrospectively enrolled. Patients with stage IV or CT unavailability were excluded. Body composition parameters derived from baseline abdominal CT using AI-based automatic segmentation software. Seventy-six parameters regarding adipose visceral fat(AVF), subcutaneous fat(SF), bone density, liver density, and fat-fraction were automatically extracted from both whole segmentation volume and multislices region. According to the CRC-related death (CRC-related death), the population was divided into Group 1 (CRC-related death) and Group 2 (non-CRC-related death). Body composition features were compared between two groups. Predictive model and survival analysis were performed with ROC curves, Cox regression, and Kaplan–Meier method. P < 0.05 was considered significant. A total of 293 patients were included, 101/293(34.5%) with CRC-related deaths. MeanHU of AVF and SF resulted directly correlated with CRC-related death (P = 0.004 and HR = 1.03, P = 0.002 and HR = 1.04, respectively) for the multislice analysis. MeanHU of AVF resulted in direct correlation with CRC-related deaths, also for the volumetric analysis (P = 0.04 and HR = 1.02). In multivariable Cox regression analysis, MeanHU AVF was confirmed as an independent predictor of CRC-related death in both multislice and volumetric analyses. SF HU remained significant in multislice analysis. In Kaplan–Meier analysis, AVF and SF for the multislice analysis resulted statistically significant (P = 0.033 and < 0.001, Chi-square = 4.56 and 11.7, respectively). In conclusion, our study demonstrated that body composition metrics of visceral and subcutaneous fat were significantly associated with cancer-related death in non-metastatic CRC patients.
Keywords:
Colon cancer
Body composition
Prognosis
Cancer-related death

Journal

La radiologia medica cover
La radiologia medica
IF:
4.8
Papers:
206
Citations:
0

Organization

S
school of medicine and psychology
Scholars:
18
Papers: 4
Citations: 0
A
ai center
Scholars:
10
Papers: 10
Citations: 0
D
department of radiology
Scholars:
3.0K
Papers: 960
Citations: 0
D
Department of Biomedical Sciences
Scholars:
862
Papers: 367
Citations: 8
D
Department of Emergency Radiology
Scholars:
9
Papers: 6
Citations: 0
D
department of surgery
Scholars:
1.7K
Papers: 514
Citations: 0
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