medRxiv PreprintsInternational13 October 2026
In Silico Metrological Assessment of 2D ROI Sampling Error Versus Whole-Organ 3D Volumetric CT Attenuation in Hepatic Steatosis: A Multicenter Monte Carlo Simulation on 971 Scans
This is an official announcement record
Firsthand records what medRxiv Preprints announced and links to the original. The wording below is theirs, not ours.
Purpose: To quantify the sampling error of conventional 2D regions of interest (ROIs) compared with whole-organ 3D volumetric CT attenuation for opportunistic hepatic steatosis screening, and to evaluate its dependency on intraparenchymal spatial heterogeneity. Materials and Methods: In this retrospective computational study (CLAIM-compliant), 971 abdominal CT scans were analyzed across a multicenter derivation cohort (TotalSegmentator v2, n = 841) and an external validation cohort (Medical Segmentation Decathlon Task03, n = 130). Automated 3D liver segmentation was performed using nnU-Net, fo
Read the official announcement
Opens www.medrxiv.org
More from medRxiv Preprints
- Language eligibility criteria and enrolled racial and ethnic composition in US clinical trials: a cross-sectional study13 October 2026
- Contrasting Patterns of Cortical Volume Change in First-Episode Schizophrenia-Spectrum Psychosis13 October 2026
- Atrial fibrillation begets atrial fibrillation - serum-driven amplification of atrial electrical instability13 October 2026
- Vascular Remodelling in Idiopathic Nephrotic Syndrome with Administration of Angiotensin-Converting Enzyme Inhibitors and Angiotensin Receptor Blockers13 October 2026
- Association of childhood experiences with wellbeing and flourishing outcomes in Indian adults: Evidence from the India Sample of the Global Flourishing Study (GFS)13 October 2026
This content is for informational purposes only and is not medical advice. It is not intended to diagnose, treat, cure, or prevent any disease. Consult a healthcare professional before starting any supplement, treatment, or program — especially if you are pregnant, nursing, taking medication, or managing a health condition.