Evidence map›Paper›PMID 36980790›Full record

ReviewCancers2023

Prediction of Surgical Outcome in Advanced Ovarian Cancer by Imaging and Laparoscopy: A Narrative Review.

Patrícia Pinto, Andrea Burgetova, David Cibula, Ingfrid S Haldorsen, Tereza Indrielle-Kelly, Daniela Fischerova

Open access · goldFull text readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
6.3field-weighted citation impact, top 3% of its field
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

14 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Comparison ofAbdominal radiology (New York) · 2024
    Article
  7. Predicting Complete Cytoreduction with Preoperative [Diagnostics (Basel, Switzerland) · 2024
    Review
  8. Article
  9. Article
  10. Observational
  11. Staging by imaging in gynecologic cancer and the role of ultrasound: an update of European joint consensus statements.International journal of gynecological cancer : official journal of the International Gynecological Cancer Society · 2024
    Review
  12. Review
  13. Review
  14. 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 at 2 institutions in 3 countries.

Patrícia PintoDepartment of Gynecology, Portuguese Institute of Oncology Francisco Gentil, 1099-023 Lisbon, Portugal.ORCID 0000-0002-6459-8529
Andrea BurgetovaDepartment of Radiology, First Faculty of Medicine, Charles University and General University Hospital in Prague, 121 08 Prague, Czech Republic.ORCID 0000-0002-9975-2338
David CibulaGynecologic Oncology Center, Department of Obstetrics and Gynecology, First Faculty of Medicine, Charles University and General University Hospital in Prague, 121 08 Prague, Czech Republic.
Ingfrid S HaldorsenMohn Medical Imaging and Visualization Centre, Department of Radiology, Haukeland University Hospital, 5009 Bergen, Norway.
Tereza Indrielle-KellyDepartment of Obstetrics and Gynaecology, Burton and Derby Hospitals NHS Trust, Derby DE13 0RB, UK.
Daniela FischerovaGynecologic Oncology Center, Department of Obstetrics and Gynecology, First Faculty of Medicine, Charles University and General University Hospital in Prague, 121 08 Prague, Czech Republic.
Charles University · CZHaukeland University Hospital · NO

Funding

Czech Research Council NV19-03-00552
6 · The paper itself

Abstract

Maximal-effort upfront or interval debulking surgery is the recommended approach for advanced-stage ovarian cancer. The role of diagnostic imaging is to provide a systematic and structured report on tumour dissemination with emphasis on key sites for resectability. Imaging methods, such as pelvic and abdominal ultrasound, contrast-enhanced computed tomography, whole-body diffusion-weighted magnetic resonance imaging and positron emission tomography, yield high diagnostic performance for diagnosing bulky disease, but they are less accurate for depicting small-volume carcinomatosis, which may lead to unnecessary explorative laparotomies. Diagnostic laparoscopy, on the other hand, may directly visualize intraperitoneal involvement but has limitations in detecting tumours beyond the gastrosplenic ligament, in the lesser sac, mesenteric root or in the retroperitoneum. Laparoscopy has its place in combination with imaging in cases where ima-ging results regarding resectability are unclear. Different imaging models predicting tumour resectability have been developed as an adjunctional objective tool. Incorporating results from tumour quantitative analyses (e.g., radiomics), preoperative biopsies and biomarkers into predictive models may allow for more precise selection of patients eligible for extensive surgery. This review will discuss the ability of imaging and laparoscopy to predict non-resectable disease in patients with advanced ovarian cancer.

Indexed as

diffusion magnetic resonance imaginglaparoscopymultidetector computed tomographyneoplasm stagingovarian neoplasmspositron emission tomography computed tomographyultrasonography

Identifiers

PMID36980790
PMCPMC10047411
OpenAlexW4353071204

What OpenQuestion holds

Textfull text, public
LicenceCC BY
reference markers read1
measurements read82
identifiers read3
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.