Imaging · dataset · 2026
Table 1_Preoperative CT-derived liver fat fraction and visceral adipose tissue index enhance postoperative recurrence risk stratification in colorectal cancer.docx
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Background<p>Postoperative recurrence remains a major cause of treatment failure in colorectal cancer (CRC).
Description
We evaluated whether preoperative computed tomography (CT)-derived liver fat fraction (LFF) and visceral adipose tissue index (VATI) improve postoperative recurrence-risk prediction.</p>Methods<p>This multi-cohort study included 525 patients after curative-intent surgery: a training cohort (n=260), external validation cohort (n=208), and exploratory prospective cohort (n=57).
Candidate clinicopathologic and CT-derived variables were evaluated using Cox regression. Performance was assessed with Harrell C-index, time-dependent area under the receiver operating characteristic curve (AUC) at 12 and 24 months, calibration, decision curve analysis, and Kaplan–Meier analysis.</p>Results<p>RFS events were observed in 129 patients. The final model included five predictors.
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N1–2 stage (hazard ratio [HR], 3.332; 95% confidence interval [CI], 1.807-6.145), elevated carbohydrate antigen 19-9 (CA19-9; HR, 2.414; 95% CI, 1.459-3.994), lymphovascular invasion (HR, 2.166; 95% CI, 1.250-3.752), VATI per 1-standard-deviation increase (HR, 1.519; 95% CI, 1.217-1.896), and LFF per 1-standard-deviation increase (HR, 2.228; 95% CI, 1.728-2.871) were independently associated with recurrence-free survival.
C-indices were 0.851, 0.809, and 0.828 in the training, external, and prospective cohorts, respectively. Prospective 12- and 24-month AUCs were 0.759 (95% CI, 0.242-1.000) and 0.890 (95% CI, 0.709-1.000), with the latter based on only 20 evaluable patients. The combined validation cohort yielded a C-index of 0.813 and 12- and 24-month AUCs of 0.807 and 0.860.</p>Conclusion<p>CT-derived VATI and LFF improved risk stratification beyond routine clinicopathologic variables.
The prospective findings remain exploratory and require confirmation in larger cohorts before clinical implementation.</p>
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Where it is published
- DOI doi.org/10.3389/fonc.2026.1944392 ↗
DOI / persistent id · from figshare com
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
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Topics
- From keywords
- Astronomy & Astrophysics · Chemistry · Computed tomography · Computer Science & AI · Earth & Environmental Science · Economics & Finance · Engineering · Humanities · Life Sciences · Medicine & Health · Ocean & Atmospheric Science · Social Science
- Inferred from text
- Cancer 75% · Oncology and carcinogenesis 72% · Tabular 65%
Related
Provenance · 1 source records, 20 field assertions
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