Evidence map›Paper›PMID 41514672›Full record

ArticleCancers2026

Prediction of Resectability of Peritoneal Disease in Ovarian Cancer Patients Using the Peritoneal Cancer Index (PCI) and Fagotti Score on MRI.

Marianna Konidari, Sofia Gourtsoyianni, Nikolaos Thomakos, Georgia Lymperopoulou, Chara Tzavara, Vasilios Pergialiotis, Alexandros Rodolakis, Lia Angela Moulopoulos, Charis Bourgioti

Abstract read
In one paragraph

Article in Cancers, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Comparison of [Abdominal radiology (New York) · 2026
    Article
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

9 authors.

Marianna Konidari1st Department of Radiology, School of Medicine, National and Kapodistrian University of Athens, Areteion Hospital, 11528 Athens, Greece.ORCID 0000-0003-2678-0845
Sofia Gourtsoyianni1st Department of Radiology, School of Medicine, National and Kapodistrian University of Athens, Areteion Hospital, 11528 Athens, Greece.
Nikolaos Thomakos1st Department of Obstetrics and Gynecology, School of Medicine, National and Kapodistrian University of Athens, Alexandra Hospital, 11528 Athens, Greece.
Georgia Lymperopoulou1st Department of Radiology, School of Medicine, National and Kapodistrian University of Athens, Areteion Hospital, 11528 Athens, Greece.
Chara TzavaraBiostatistics Department, National and Kapodistrian University of Athens, 15784 Athens, Greece.ORCID 0000-0003-3242-9066
Vasilios Pergialiotis1st Department of Obstetrics and Gynecology, School of Medicine, National and Kapodistrian University of Athens, Alexandra Hospital, 11528 Athens, Greece.
Alexandros Rodolakis1st Department of Obstetrics and Gynecology, School of Medicine, National and Kapodistrian University of Athens, Alexandra Hospital, 11528 Athens, Greece.
Lia Angela Moulopoulos1st Department of Radiology, School of Medicine, National and Kapodistrian University of Athens, Areteion Hospital, 11528 Athens, Greece.ORCID 0000-0001-6009-1088
Charis Bourgioti1st Department of Radiology, School of Medicine, National and Kapodistrian University of Athens, Areteion Hospital, 11528 Athens, Greece.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesCytoreduction status is a critical prognostic factor in ovarian cancer, yet preoperative selection of patients suitable for primary debulking surgery and accurate prediction of surgical outcome remain challenging. This study aimed to evaluate the prognostic ability of MRI-based Fagotti score and Peritoneal Cancer Index (PCI) for predicting resectability of peritoneal disease in ovarian cancer patients.

methodsThis was a prospective single-center observational study. Patients with suspected primary ovarian cancer who underwent preoperative MRI of the abdomen and pelvis with a dedicated protocol were considered. MRI-based Fagotti score and PCI were determined by two readers independently, using a combination of T2W, Diffusion-Weighted Imaging (DWI), and contrast-enhanced T1W sequences. In cases of discordance, a third radiologist reviewed the scans and consensus was reached. ROC analysis and logistic regression were used to evaluate prognostic performance. The reference standard to predict resectability was optimal cytoreduction defined as residual disease ≤1 cm.

resultsForty-six women with epithelial ovarian cancer (mean age 56.3 ± 2.6 years) who underwent preoperative MRI, followed by laparoscopy and/or laparotomy, were included in the study. Both MRI-based Fagotti score and PCI showed high predictive value for predicting resectability (AUC 0.92 and 0.94, respectively). Optimal cut-offs were ≤6 for Fagotti score and ≤20 for PCI. Patients with scores below these thresholds had >60-fold (Fagotti) and >100-fold (PCI) increased odds for successful primary cytoreduction (

conclusionsMRI-based Fagotti score and PCI may serve as powerful noninvasive predictors of surgical outcome in ovarian cancer. MRI may reliably guide treatment decisions, reducing unnecessary laparotomies and optimizing patient selection.

Indexed as

cytoreductionDiffusion-Weighted ImagingFagotti scoreMRIovarian cancerPeritoneal Cancer Indexperitoneal carcinomatosis

Identifiers

PMID41514672
PMCPMC12785020

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.