ArticleBMC medical imaging2025
Retrospective validation of 3D Slicer against CTA source images for accurate intracerebral hematoma volumetry: a comparative study with the Tada formula.
Article in BMC medical imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
backgroundAccurate measurement of intracerebral hemorrhage (ICH) volume is critical for clinical decisions and prognosis. While the Tada formula (ABC/2) is commonly used, its accuracy-particularly for irregular hematomas-remains limited. This study retrospectively validates the free, open-source software 3D Slicer against manual segmentation of CTA source images as the gold standard, and compares its performance with the ABC/2 method.
methodsThis study retrospectively analyzed imaging data from 118 patients with spontaneous ICH who underwent both non-contrast CT (NCCT) and CTA. The CTA images were acquired with thin-slice reconstruction (0.625 mm slice thickness). Hematoma volume was measured by two blinded evaluators using the following methods: (1) manual segmentation on thin-slice CTA source images (gold standard); (2) semi-automatic segmentation on NCCT images using 3D Slicer software; and (3) calculation on NCCT images using the Tada formula (ABC/2). Intraclass correlation coefficient (ICC) was used to assess intra- and inter-observer agreement. Bland-Altman analysis and linear regression were employed to evaluate the agreement and bias between 3D Slicer, the ABC/2 method, and the gold standard.
resultsAnalysis of 118 spontaneous intracerebral hemorrhage patients revealed that the 3D Slicer method achieved near-perfect agreement (ICC = 0.997) with the gold standard of CTA manual segmentation, with a minimal mean bias of + 0.77 mL and narrow limits of agreement. In contrast, the Tada formula demonstrated significantly poorer agreement (ICC = 0.887), a substantial systematic overestimation (mean bias = + 4.65 mL), and wide limits of agreement (-10.8 to + 20.2 mL). Subgroup analyses further confirmed the superior robustness of 3D Slicer. The reliability of the Tada formula was markedly lower for irregularly shaped hematomas (ICC = 0.835) and deteriorated drastically for large hematomas > 60 mL (ICC = 0.516).
conclusionIn conclusion, this study validates 3D Slicer as a highly accurate tool for ICH volumetry using CTA source images, demonstrating superior performance over the Tada formula, especially for irregular hematomas. As a freely available platform, it represents a superior alternative for precise ICH assessment in both clinical and research settings.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.