Evidence map›Paper›PMID 35235024›Full record

ArticleArchives of gynecology and obstetrics2022

The role of computed tomography in the assessment of tumour extent and the risk of residual disease after upfront surgery in advanced ovarian cancer (AOC).

Mihaela Asp, Susanne Malander, Nils-Olof Wallengren, Sonja Pudaric, Johan Bengtsson, Hanna Sartor, Päivi Kannisto

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Archives of gynecology and obstetrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
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  4. Growing teratoma syndrome: diagnostic challenges and outcomes.Archives of gynecology and obstetrics · 2024
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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

7 authors at 1 institution in 1 country.

Mihaela AspDivision of Obstetrics and Gynecology, Department of Clinical Science Lund, Skåne University Hospital, Lund University, Lund, Sweden. mihaela.asp@med.lu.se.ORCID 0000-0002-2130-5132
Susanne MalanderDivision of Oncology, Department of Clinical Science Lund, Skåne University Hospital, Lund University, Lund, Sweden.
Nils-Olof WallengrenDivision of Medical Imaging and Physiology, Department of Clinical Science Lund, Skåne University Hospital, Lund University, Lund, Sweden.
Sonja PudaricDivision of Medical Imaging and Physiology, Department of Clinical Science Lund, Skåne University Hospital, Lund University, Lund, Sweden.
Johan BengtssonDivision of Medical Imaging and Physiology, Department of Clinical Science Lund, Skåne University Hospital, Lund University, Lund, Sweden.
Hanna SartorDiagnostic Radiology, Department of Translational Medicine, Lund University, Skåne University Hospital, Lund, Sweden.
Päivi KannistoDivision of Obstetrics and Gynecology, Department of Clinical Science Lund, Skåne University Hospital, Lund University, Lund, Sweden.
Lund University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeEpithelial ovarian cancer is usually diagnosed in the advanced stages. To choose the best therapeutic approach, an accurate preoperative assessment of the tumour extent is crucial. This study aimed to determine whether the peritoneal cancer index (PCI), the amount of ascites, and the presence of cardiophrenic nodes (CPLNs) visualized by computed tomography (CT) can assess the tumour extent (S-PCI) and residual disease (RD) for advanced ovarian cancer (AOC) patients treated with upfront surgery.

methodsIn total, 118 AOC cases were included between January 2016 and December 2018 at Skåne University Hospital, Lund, Sweden. Linear regression and interclass correlation (ICC) analyses were used to determine the relationship between CT-PCI and S-PCI. The patients were stratified in complete cytoreductive surgery (CCS) with no RD or to non-CCS with RD of any size. The amount of ascites on CT (CT-ascites), CA-125 and the presence of radiological enlarged CPLNs (CT-CPLN) were analysed to evaluate their impact on estimating RD.

resultsCT-PCI correlated well with S-PCI (0.397; 95% CI 0.252-0.541; p < 0.001). The risk of RD was also related to CT-PCI (OR 1.069 (1.009-1.131), p < 0.023) with a cut-off of 21 for CT-PCI (0.715, p = 0.000). The sensitivity, specificity, positive predictive value and negative predictive value were 58.5, 70.3, 52.2 and 75.4%, respectively. CT-ascites above 1000 ml predicted RD (OR 3.510 (1.298-9.491) p < 0.013).

conclusionCT is a reliable tool to assess the extent of the disease in advanced ovarian cancer. Higher CT-PCI scores and large volumes of ascites estimated on CT predicted RD of any size.

Indexed as

AscitesOvarian NeoplasmsCarcinoma, Ovarian EpithelialFemaleHumansNeoplasm, ResidualNeoplasm StagingRetrospective StudiesTomography, X-Ray ComputedComputed tomographyCytoreductive surgeryOvarian cancerPeritoneal cancer index

Identifiers

PMID35235024
PMCPMC9470643
OpenAlexW4214890305

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Registered trials

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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.