Evidence map›Paper›PMID 38886313›Full record

ArticleInsights into imaging2024

Optimal debulking surgery in ovarian cancer patients: MRI may predict the necessity of rectosigmoid resection.

Xiaofang Zhao, Ping Yang, Liu Liu, Yi Li, Yang Huang, Huali Tang, Yin Zhou, Yun Mao

Abstract read
In one paragraph

Article in Insights into imaging, 2024. 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. 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

8 authors.

Xiaofang Zhao *Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Ping Yang *Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Liu LiuDepartment of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Yi LiDepartment of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Yang HuangDepartment of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Huali TangDepartment of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Yin ZhouDepartment of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China. zyin1988@126.com.
Yun MaoDepartment of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China. maoyun1979@163.com.ORCID http://orcid.org/0000-0002-3326-4729

Funding

Program for Youth Innovation in Future Medicine, Chongqing Medical University W0096
6 · The paper itself

Abstract

objectivesTo determine whether MRI can predict the necessity of rectosigmoid resection (RR) for optimal debulking surgery (ODS) in ovarian cancer (OC) patients and to compare the predictive accuracy of pre- and post-neoadjuvant chemotherapy (NACT) MRI.

methodsThe MRI of 82 OC were retrospectively analyzed, including six bowel signs (length, transverse axis, thickness, circumference, muscularis involvement, and submucosal edema) and four para-intestinal signs (vaginal, parametrial, ureteral, and sacro-recto-genital septum involvement). The parameters reflecting the degree of muscularis involvement were measured. Patients were divided into non-RR and RR groups based on the operation and postoperative outcomes. The independent predictors of the need for RR were identified by multivariate logistic regression analysis.

resultsImaging for 82 patients was evaluated (67 without and 15 with NACT). Submucosal edema and muscularis involvement (OR 13.33 and 8.40, respectively) were independent predictors of the need for RR, with sensitivities of 83.3% and 94.4% and specificities of 93.9% and 81.6%, respectively. Among the parameters reflecting the degree of muscularis involvement, circumference ≥ 3/12 had the highest prediction accuracy, increasing the specificity from 81.6% for muscularis involvement only to 98.0%, with only a slight decrease in sensitivity (from 94.4% to 88.9%). The predictive sensitivities of pre-NACT and post-NACT MRI were 100.0% and 12.5%, respectively, and the specificities were 85.7% and 100.0%, respectively.

conclusionsMRI analysis of rectosigmoid muscularis involvement and its circumference can help predict the necessity of RR in OC patients, and pre-NACT MRI may be more suitable for evaluation. CRITICAL RELEVANCE STATEMENT: We analyzed preoperative pelvic MRI in OC patients. Our findings suggest that MRI has predictive potential for identifying patients who require RR to achieve ODS. KEY POINTS: The need for RR must be determined to optimize treatment for OC patients. Muscularis involvement circumference ≥ 3/12 could help predict RR. Pre-NACT MRI may be superior to post-NACT MRI in predicting RR.

Indexed as

Bowel resectionDebulking surgeryMRINeoadjuvant chemotherapyOvarian cancer

Identifiers

PMID38886313
PMCPMC11183003

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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.