Evidence map›Paper›PMID 40873375›Full record

ReviewKorean journal of radiology2025

CT and MRI in Advanced Ovarian Cancer: Advances in Imaging Techniques.

Selina Chiu, Yvonne Tsitsiou, Andrea Da Silva, Cathy Qin, Christina Fotopoulou, Andrea Rockall

Abstract readReview
In one paragraph

Review in Korean journal of radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. 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

6 authors.

Selina Chiu *Department of Surgery and Cancer, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0003-3337-6816
Yvonne Tsitsiou *Department of Surgery and Cancer, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0003-3918-1120
Andrea Da SilvaDepartment of Radiology, Imperial College Healthcare NHS Trust, London, United Kingdom.ORCID https://orcid.org/0009-0004-3015-098X
Cathy QinDepartment of Radiology, Imperial College Healthcare NHS Trust, London, United Kingdom.ORCID https://orcid.org/0000-0003-4873-396X
Christina FotopoulouDepartment of Surgery and Cancer, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0001-6375-9645
Andrea RockallDepartment of Surgery and Cancer, Imperial College London, London, United Kingdom.ORCID https://orcid.org/0000-0001-8270-5597

Funding

Parasol Foundation
6 · The paper itself

Abstract

Ovarian cancer (OC) remains one of the leading causes of gynecologic cancer-related mortality, with most patients presenting with disseminated disease, particularly within the peritoneal cavity. Standard treatment includes cytoreductive surgery, platinum-based chemotherapy, and targeted maintenance approaches depending on the patient's and tumor's genetic profile. Despite treatment advancements, approximately 25% of high-grade serous OC cases relapse within a year despite optimal primary treatment with complete tumor clearance at cytoreduction. Advances in contrast-enhanced CT (CE-CT) and MRI have revolutionized the evaluation and treatment planning of advanced OC. CT remains the gold standard for staging and assessing tumor extent, effectively identifying peritoneal, lymphatic, and distant metastases. However, it is less effective in detecting small-volume peritoneal dissemination. MRI, with superior soft-tissue contrast, complements CT by providing a detailed assessment of peritoneal disease, characterizing sonographically indeterminate adnexal masses. Diffusion-weighted imaging and gadolinium-enhanced MRI have improved the diagnostic sensitivity for peritoneal disease but are unable to predict treatment response, recurrence risk, and prognosis. Radiomics, which extracts quantitative tumor features from imaging data, holds promise for personalizing treatment and identifying patients at risk for early recurrence despite optimal therapy. The integration of CT, MRI, and radiomics could enhance surgical planning and improve long-term survival outcomes in patients with advanced OC.

Indexed as

Magnetic Resonance ImagingOvarian NeoplasmsTomography, X-Ray ComputedContrast MediaFemaleHumansNeoplasm StagingContrast MediaCTLexicon scoringMRIOvarian cancerRadiomics

Identifiers

PMID40873375
PMCPMC12394823

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.