Evidence map›Paper›PMID 41413732›Full record

ArticleEuropean radiology2026

Accuracy and clinical impact of MRI in early-stage cervical cancer after cervical conization, a retrospective study.

M Dolciami, M Criscione, N Bizzarri, A Amerighi, A Napoletano, L Russo, G Scaglione, D Giannarelli, M Petrillo, E Sala and 2 more

Abstract read
In one paragraph

Article in European radiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
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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

12 authors.

M Dolciami *Department of Diagnostic Imaging and Radiation Oncology, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy. miriam.dolciami@policlinicogemelli.it.ORCID http://orcid.org/0000-0002-8322-8435
M Criscione *Catholic University of the Sacred Heart, Rome, Italy.
N BizzarriDepartment of Women and Child Health and Public Health, UOC Gynecologic Oncology, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.
A AmerighiCatholic University of the Sacred Heart, Rome, Italy.
A NapoletanoCatholic University of the Sacred Heart, Rome, Italy.
L RussoDepartment of Diagnostic Imaging and Radiation Oncology, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.
G ScaglionePathology Institute, Catholic University of the Sacred Heart, Rome, Italy.
D GiannarelliFacility of Epidemiology and Biostatistics, G-SteP, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.
M PetrilloGynecologic and Obstetric Clinic, Department of Medicine, Surgery and Pharmacy, University of Sassari, Sassari, Italy.
E SalaDepartment of Diagnostic Imaging and Radiation Oncology, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.
F FanfaniCatholic University of the Sacred Heart, Rome, Italy.
B GuiDepartment of Diagnostic Imaging and Radiation Oncology, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the accuracy of MRI in detecting residual disease after conization in patients with early-stage cervical cancer (CC) and to evaluate the impact of MRI on FIGO staging and surgical management. MATERIALS AND

methodsBetween January 2018 and December 2023, a consecutive series of patients with early-stage invasive CC undergoing conization, pre-operative pelvic MRI, and surgery were included in this retrospective study. Two experienced radiologists reviewed the MRI scans for the presence of residual tumor, assessed on T2-weighted, diffusion-weighted, and contrast-enhanced sequences, if available. MRI findings were compared with surgical pathology to evaluate diagnostic performance and clinical impact.

resultsA total of 108 patients were included in the study. MRI detected residual disease with an accuracy of 78.7% (95% CI 71.0-86.4), sensitivity of 66%, specificity of 90.9%, positive predictive value of 87.5%, and negative predictive value of 73.5%. The use of contrast agent showed no significant difference in overall accuracy, with an accuracy of 74.5% for contrast-enhanced MRI (CE-MRI) and 83% for non-CE-MRI (p = 0.28), respectively. MRI correctly staged 73.8% of cases, suggested the correct extent of radicality in 79.7% of cases following the 2018 ESGO guidelines, and the appropriate type of hysterectomy (simple vs. radical) in 90.9% of cases following the SHAPE study.

conclusionNon-CE MRI is a reliable and sufficient tool for detecting residual tumor after conization in early-stage CC, as contrast administration offers no additional diagnostic value. Accurate pre-operative identification of residual disease may refine FIGO staging and assist in tailoring surgical strategies. KEY POINTS: Question MRI evaluation of residual tumor after cervical conization in early-stage cervical cancer is critical to optimize surgical planning noninvasively and avoid overtreatment. Findings MRI correctly identified residual disease with high specificity (90.9%) and moderate sensitivity (66%); contrast enhancement did not significantly improve diagnostic accuracy. Clinical relevance MRI, particularly non-contrast protocols, reliably excludes post-conization residual disease and aids in selecting appropriate surgical treatment, reducing overtreatment in early-stage cervical cancer.

Indexed as

ConizationMagnetic Resonance ImagingUterine Cervical NeoplasmsAdultAgedContrast MediaFemaleHumansMiddle AgedNeoplasm, ResidualNeoplasm StagingReproducibility of ResultsRetrospective StudiesSensitivity and SpecificityContrast MediaCervical cancerConizationMagnetic resonance imaging

Identifiers

PMID41413732
PMCPMC13086706

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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.