ArticleJapanese journal of radiology2026
Technical feasibility of AI-based longitudinal multi-organ volumetry on low-dose PET/CT over 13 years.
Article in Japanese journal of radiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
purposeThis study aimed to (i) compare TotalSegmentator Fast and Normal inference modes on low-dose PET/CT, (ii) evaluate whether CT denoising improves segmentation longitudinal consistency, and (iii) examine whether the selected pipeline can capture long-term within-participant volumetric trends over approximately 13 years. MATERIALS AND
methodsThis retrospective study drew from a PET/CT screening registry of 15,597 examinees. In Phase 1, 10 participants (137 scans) were selected for pipeline optimization: Fast versus Normal modes and five denoising methods were compared using detrended within-participant CV. In Phase 2, 30 participants aged ≥60 years (337 scans) were analyzed. Volumetric changes in six structures were modeled using a linear mixed-effects model with false discovery rate correction.
resultsFast mode demonstrated similar detrended longitudinal variability to Normal mode across the six analyzed structures (detrended CV range: 2.26-9.32%), with approximately 10-fold faster processing. No tested denoising method meaningfully improved the selected serial-variability metrics over raw CT. In the primary random-intercept model, all six structures showed significant population-average volumetric trends (all p < 0.001, FDR q < 0.001): autochthon (paraspinal) muscles (- 0.72%/year), iliopsoas (- 0.74%/year), liver (- 0.55%/year), kidneys (- 0.49%/year), pancreas (- 0.97%/year), and aorta (+ 0.94%/year). In the random-slope sensitivity analysis, all six structures-including the iliopsoas and aorta-remained statistically significant (all RS p < 0.01) when individual trajectory slopes were accommodated.
conclusionFast mode on raw low-dose PET/CT provided the most favorable speed-stability trade-off for TotalSegmentator-based multi-organ volumetry. Long-term within-participant volumetric trends were detectable over a 13-year follow-up, supporting technical feasibility but not yet establishing biological attribution or clinical utility.
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