Evidence map›Paper›PMID 39661150›Full record

ArticleEuropean radiology2025

CT-based radiomic prognostic vector (RPV) predicts survival and stromal histology in high-grade serous ovarian cancer: an external validation study.

Georg J Wengert, Haonan Lu, Eric O Aboagye, Georg Langs, Nina Poetsch, Ernst Schwartz, Zsuzsanna Bagó-Horváth, Christina Fotopoulou, Stephan Polterauer, Thomas H Helbich and 1 more

Abstract readValidation Study
In one paragraph

Article in European radiology, 2025. 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. Review
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

11 authors.

Georg J WengertDepartment of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK. georg.wengert@meduniwien.ac.at.ORCID http://orcid.org/0000-0002-1854-9128
Haonan LuDepartment of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK.
Eric O AboagyeDepartment of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK.
Georg LangsComputational Imaging Research Laboratory, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna General Hospital, Vienna, Austria.
Nina PoetschDepartment of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna General Hospital, Vienna, Austria.
Ernst SchwartzComputational Imaging Research Laboratory, Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna General Hospital, Vienna, Austria.
Zsuzsanna Bagó-HorváthDepartment of Pathology and Comprehensive Cancer Center, Medical University of Vienna, Vienna General Hospital, Vienna, Austria.
Christina FotopoulouDepartment of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK.
Stephan PolterauerDepartment of Obstetrics and Gynecology, Medical University of Vienna, Vienna General Hospital, Vienna, Austria.
Thomas H HelbichDepartment of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna General Hospital, Vienna, Austria.
Andrea G RockallDepartment of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesIn women with high-grade serous ovarian cancer (HGSOC), a CT-based radiomic prognostic vector (RPV) predicted stromal phenotype and survival after primary surgery. The study's purpose was to fully externally validate RPV and its biological correlate. MATERIALS AND

methodsIn this retrospective study, ovarian masses on CT scans of HGSOC patients, who underwent primary cytoreductive surgery in an ESGO-certified Center between 2002 and 2017, were segmented for external RPV score calculation and then correlated with overall survival (OS) and progression-free survival (PFS). A subset of tissue samples subjected to fibronectin immunohistochemistry were evaluated by a gynaeco-pathologist for stromal content. Kaplan-Meier log-rank test and a Cox proportional hazards model were used for outcome analysis.

resultsAmong 340 women with HGSOC, 244 ovarian lesions were available for segmentation in 198 women (mean age 59.8 years, range 34-92). Median OS was 48.69 months (IQR: 27.0-102.5) and PFS was 19.3 months (IQR: 13-32.2). Using multivariate Cox analysis, poor OS was associated with RPV-high (HR 3.17; 95% CI: 1.32-7.60; p = 0.0099), post-operative residual disease (HR 2.04; 95% CI: 1.30-3.20; p = 0.0020), and FIGO stage III/IV (HR 1.79; 95% CI: 1.11-2.86; p = 0.016). Age did not influence OS. RPV-high tissue had higher stromal content based on fibronectin expression (mean 48.9%, SD 10.5%) compared to RPV-low cases (mean 14.9%, SD 10.5%, p < 0.0001). RPV score was not significantly associated with PFS.

conclusionPatients with HGSOC and RPV-high ovarian mass on pre-operative CT had significantly worse OS following primary surgery and a higher stromal content compared to RPV-low masses, externally validating the RPV and its biological interpretation. KEY POINTS: Question Can the performance of a previously described RPV in women with HGSOC be replicated when licenced to an external institution? Findings External validation of RPV among 244 ovarian lesions demonstrated that, on multivariate analysis, OS was associated with RPV, stage, and postoperative residual disease, replicating previous findings. Clinical relevance External validation of a radiomic tool is an essential step in translation to clinical applicability and provides the basis for prospective validation. In clinical practice, this RPV may allow more personalized decision-making for women with ovarian cancer being considered for extensive cytoreductive surgery.

Indexed as

Cystadenocarcinoma, SerousOvarian NeoplasmsTomography, X-Ray ComputedAdultAgedAged, 80 and overCytoreduction Surgical ProceduresFemaleHumansMiddle AgedNeoplasm GradingPrognosisRadiomicsRetrospective StudiesComputed tomographyExternal validationFibronectinHigh-grade serous ovarian cancerRadiomic prognostic vector

Identifiers

PMID39661150
PMCPMC12081573

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.