Evidence map›Paper›PMID 42224186›Full record

ArticlePloS one2026

Impact of pre-segmented regions on CT-based evaluation of the Peritoneal Cancer Index: A reader study.

Lotte J S Fleurkens-Ewals, Marion W Tops-Welten, Anna F van Herwijnen, Pieter C Gort, Cris H B Claessens, Ellen S R Duijsings, Irene E G van Hellemond, Jurgen M J Piek, Ignace H J T De Hingh, Max J Lahaye and 2 more

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Lotte J S Fleurkens-EwalsDepartment of Surgical Oncology, Catharina Cancer Institute, Catharina Hospital Eindhoven, Eindhoven, the Netherlands.ORCID https://orcid.org/0009-0002-3700-6409
Marion W Tops-WeltenDepartment of Medical Oncology, Catharina Cancer Institute, Catharina Hospital Eindhoven, Eindhoven, the Netherlands.ORCID https://orcid.org/0009-0002-0911-8905
Anna F van HerwijnenDepartment of Surgical Oncology, Catharina Cancer Institute, Catharina Hospital Eindhoven, Eindhoven, the Netherlands.ORCID https://orcid.org/0009-0003-6190-2868
Pieter C GortDepartment of Electrical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands.ORCID https://orcid.org/0009-0006-7359-8594
Cris H B ClaessensDepartment of Electrical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands.
Ellen S R DuijsingsDepartment of Obstetrics and Gynaecology, Catharina Cancer Institute, Catharina Hospital Eindhoven, Eindhoven, the Netherlands.
Irene E G van HellemondDepartment of Medical Oncology, Catharina Cancer Institute, Catharina Hospital Eindhoven, Eindhoven, the Netherlands.
Jurgen M J PiekDepartment of Obstetrics and Gynaecology, Catharina Cancer Institute, Catharina Hospital Eindhoven, Eindhoven, the Netherlands.ORCID https://orcid.org/0000-0002-0487-0631
Ignace H J T De HinghDepartment of Surgical Oncology, Catharina Cancer Institute, Catharina Hospital Eindhoven, Eindhoven, the Netherlands.
Max J LahayeGROW School for Oncology and Developmental Reproduction, Maastricht University, Maastricht, the Netherlands.
Misha D P LuyerDepartment of Surgical Oncology, Catharina Cancer Institute, Catharina Hospital Eindhoven, Eindhoven, the Netherlands.ORCID https://orcid.org/0000-0002-9483-1520
Joost NederendDepartment of Radiology, Catharina Cancer Institute, Catharina Hospital Eindhoven, Eindhoven, the Netherlands.ORCID https://orcid.org/0000-0002-9905-5866

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesAccurate assessment of peritoneal tumour burden is crucial for treatment selection and prognosis. The Peritoneal Cancer Index (PCI), traditionally assessed by laparoscopy, is increasingly applied to imaging. This study investigates whether pre-segmented radiological PCI (rPCI) regions on CT improve interobserver variability, diagnostic accuracy, and user experience. MATERIALS AND

methodsThis prospective, comparative reader study included nine contrast-enhanced CT scans from patients with peritoneal metastases of ovarian, gastric, or colorectal origin. Radiologists, surgeons, and gynaecologists independently scored rPCI on two scans: one with and one without pre-segmented rPCI regions shown as colour overlays. Interobserver variability, mean absolute error compared with surgical PCI (sPCI), and reader confidence were compared between both conditions. User experience was evaluated through structured feedback.

resultsIn total, 82 clinicians from 19 countries participated in this study. Each CT was assessed 8-10 times with and without overlaid segmentations. Pre-segmented region overlays did not significantly improve interobserver variability (p = 0.123), PCI accuracy (mean absolute error, p = 0.374), or reader confidence (p = 0.593). However, with use of segmentations, rPCI values were closer to sPCI in 7 of 9 scans. In regions 9-12, the proportion of participants reporting moderate or high confidence increased from 48-53% without overlays to 59-63% with overlays. User feedback was positive, with 83% of participants reporting the tool as useful, 82% as easy to use, and 71% indicating they would use it in clinical practice.

conclusionPre-segmented region overlays for CT-based rPCI assessment were positively received by clinicians. Although no statistically significant improvements in interobserver variability or accuracy were observed, the findings of this exploratory study support further evaluation in larger studies to determine their clinical value.

Indexed as

Peritoneal NeoplasmsTomography, X-Ray ComputedContrast MediaFemaleHumansMaleObserver VariationProspective StudiesContrast Media

Identifiers

PMID42224186
PMCPMC13225389

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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.