Evidence map›Paper›PMID 40756698›Full record

ArticleGynecologic oncology reports2025

Utility of computerized tomography in clinical staging and surgical decision making in patients with uterine cancer.

Andrew Tannous, Alexzandra Adler, Jeanelle Sheeder, Rebecca J Wolsky, Jill Alldredge

Abstract read
In one paragraph

Article in Gynecologic oncology reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Andrew TannousSaint Joseph Hospital, Department of Obstetrics and Gynecology, Denver, CO, USA.
Alexzandra AdlerUniversity of Colorado School of Medicine, Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Aurora, CO, USA.
Jeanelle SheederUniversity of Colorado School of Medicine, Department of Obstetrics and Gynecology, Division of Complex Family Planning, Aurora, CO, USA.
Rebecca J WolskyUniversity of Colorado School of Medicine, Department of Pathology, Aurora, CO, USA.
Jill AlldredgeUniversity of Colorado School of Medicine, Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Aurora, CO, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: We investigated the utility of pre-operative computerized tomography (CT) abdomen and pelvis on clinical staging and surgical decision making for uterine carcinoma. Methods: This retrospective cohort study included patients treated surgically for uterine carcinoma between 2010 and 2021 at a single academic center. Data on patient demographics, tumor characteristics, CT imaging results, and surgical procedures were collected. Diagnostic accuracy metrics (sensitivity, specificity, positive predictive value [PPV], negative predictive value [NPV]) were analyzed to assess the predictive value of CT for determining extrauterine disease, lymphadenopathy, and omental involvement. The impact of CT imaging on surgical management decisions was also evaluated. Results: Of 409 patients meeting inclusion criteria, 68.9 % underwent pre-operative CT imaging. CT demonstrated moderate sensitivity (67.0 %, 61/91) and high specificity (87.4 %, 145/166) for detecting extrauterine disease, which was comparable across those with low grade endometrioid, high grade endometrioid, and non-endometrioid histotypes. Patients with abnormal CT findings were significantly more likely to have advanced stage disease (FIGO stage III/IV; p < 0.001), undergo tumor debulking (p < 0.001), and receive pelvic (p = 0.001) and Conclusions: Preoperative CT shows moderate sensitivity but high specificity for identifying extrauterine disease in uterine carcinoma, supporting continued use for high risk histotypes. Among patients with low-grade histotypes, risk-adaptive use of CT may be valuable in determining eligibility for either MIS or SLN mapping. This is an increasingly relevant consideration as MIS and SLN are becoming more widely adopted.

Indexed as

Minimally invasive surgeryPre-operative CTPre-operative stagingSentinel lymph nodeUterine cancer

Identifiers

PMID40756698
PMCPMC12318306

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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.