Evidence map›Paper›PMID 40963852›Full record

ArticleFrontiers in oncology2025

Clinical evaluation of atlas-based auto-segmentation for contouring pelvic CTVs in the treatment of anal cancer with FDG-PET-positive lymph node involvement.

Max Bieder, Markus Böhm, Marciana-Nona Duma, Andrea Wittig

Abstract read
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Article in Frontiers in oncology, 2025. 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Max BiederDepartment of Radiotherapy and Radiation Oncology, Jena University Hospital, Friedrich-Schiller University Jena, Jena, Germany.
Markus BöhmInstitute for Medical Statistics, Computer Science and Data Science (IMSID), Jena University Hospital, Jena, Germany.
Marciana-Nona Duma *Department of Radiotherapy and Radiation Oncology, Jena University Hospital, Friedrich-Schiller University Jena, Jena, Germany.
Andrea Wittig *Department of Radiotherapy and Radiation Oncology, Jena University Hospital, Friedrich-Schiller University Jena, Jena, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Current evidence on atlas-based auto-segmentation (ABS) in radiotherapy primarily addresses organs at risk, whereas its application for clinical target volume (CTV) delineation remains insufficiently explored. Additionally, the optimal number of datasets required for ABS atlases is debated. This study investigates ABS performance for automated CTV (aCTV) segmentation in anal cancer patients with Methods: A retrospective analysis was conducted on 51 anal cancer patients who underwent Results: Of the 51 patients, 27 (52.9%) had FDG-positive LN metastases. The mean DSI for atlas sizes of n = 10, 20, 30, 40, and 50 were 0.73, 0.78, 0.79, 0.79, and 0.80, respectively. A DSI ≥ 0.7 was achieved in 24 patients (88.9%) across all atlas sizes. The increase in DSI between n = 10 and n = 40 was statistically significant (Bonferroni-adjusted p < 0.05). Mean relative NCV and MCV ranged from 21.8-23.9% and 17.7-19.5% of the respective mCTV volume, with decreasing trends as atlas size increased. Segmentation inaccuracies predominantly occurred in the upper mesorectal and lower ischiorectal regions. Discussion: In conclusion, ABS facilitates the delineation of CTVs in anal cancer patients and improves contouring efficiency. However, manual correction by radiation oncologists remains necessary.

Indexed as

anal canceratlas-based auto-segmentationCTV auto-segmentationlymph node metastasesPET/CT

Identifiers

PMID40963852
PMCPMC12436099

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