ArticleReports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology2026
Automatic pelvic bone segmentation for radiotherapy using diagnostic imaging workstation.
Article in Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Anatomy-driven automated subsegmentation of pelvic and proximal femoral CT into clinically relevant subregions and landmarks.BMC medical imaging · 2026Article
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
No grant is acknowledged in the PubMed record.
Abstract
Background: This study evaluated the usefulness of a diagnostic imaging workstation in streamlining procedures and improving the accuracy of contouring pelvic bones with characteristic shapes. Materials and methods: The study included 18 patients with computed tomography (CT) images of the pelvic bone undergoing radiation therapy planning. Four pelvic bone structures (ST) were created: ST_EZ1, ST_EZ3, ST_Zio, and ST_MN. ST_EZ1 and ST_EZ3 using the automatic contouring function of EZ Sketch in Monaco (Elekta Inc.), a treatment planning system (TPS). ST_EZ3 was then duplicated and manually modified to create ST_MN. The CT data were reconstructed using Ziostation2 to create pelvic bone-only data, which were then imported into the TPS to create the structure using EZ Sketch. A 2-mm inner margin was added to create ST_Zio. Each structure was compared with ST_MN and evaluated using the Hausdorff distance (HD), mean distance to agreement (MDA), Dice similarity coefficient (DSC), and Jaccard similarity coefficient (JSC). Results: A comparison of ST_EZ1, ST_EZ3, and ST_Zio with ST_MN revealed the following: average HD, 53.87, 33.14, and 16.64, respectively; average MDA, 3.70, 2.03, and 0.99, respectively; average DSC, 0.80, 0.85, and 0.91, respectively; and average JSC, 0.68, 0.74, and 0.83, respectively. The average structure creation times were 1 min 7 s for ST_EZ1, 3 min 45 s for ST_EZ3, 1 min 50 s for ST_Zio, and 33 min 5 s for ST_MN. Conclusion: Diagnostic imaging workstations are effective for pelvic bone contouring, improving both efficiency and accuracy.
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.