Vaginosonography versus MRI in Pre-Treatment Evaluation of Early-Stage Cervical Cancer: An Old Tool for a New Precision Approach?

MRI and gynecological oncology diagnosis cervical cancer transvaginal ultrasound vaginosonography

Journal

Diagnostics (Basel, Switzerland)
ISSN: 2075-4418
Titre abrégé: Diagnostics (Basel)
Pays: Switzerland
ID NLM: 101658402

Informations de publication

Date de publication:
22 Nov 2022
Historique:
received: 20 10 2022
revised: 19 11 2022
accepted: 21 11 2022
entrez: 23 12 2022
pubmed: 24 12 2022
medline: 24 12 2022
Statut: epublish

Résumé

This study aims to analyze the sensitivity of vaginosonography (VGS) and magnetic resonance imaging (MRI) in the preoperative local evaluation of early-stage cervical cancers and to assess their accuracy in the detection of tumors, size of the lesions and stromal invasion by comparing them with the final histopathology report. This single-center study included 56 consecutive patients with cervical cancer who underwent VGS and MRI from November 2012 to January 2021. VGS significantly overestimated the lesion size by 2.7 mm (p = 0.002), and MRI underestimated it by 1.9 mm (p = 0.11). Both MRI and VGS had a good concordance with the pathology report (Cohen’s kappa of 0.73 and 0.81, respectively). However, MRI had a false-negative rate (38.1%) that was greater than VGS (0%) in cases of cervical tumor size <2 cm. We found a good concordance between histology and VGS in the stromal infiltration assessment, with 89% sensitivity (95% CI 0.44−0.83) and 89% specificity (95% CI 0.52−0.86). VGS is a simple, inexpensive, widely available, and fast execution method that can complement ultrasound in particular cases and show a good correlation with MRI in the assessment of tumor dimensions, with a better performance in detecting small tumors (<2 cm).

Identifiants

pubmed: 36552913
pii: diagnostics12122904
doi: 10.3390/diagnostics12122904
pmc: PMC9776852
pii:
doi:

Types de publication

Journal Article

Langues

eng

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Auteurs

Ailyn M Vidal Urbinati (AM)

Preventive Gynecology Unit, European Institute of Oncology IRCCS, 20141 Milan, Italy.
Department of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy.

Ida Pino (I)

Preventive Gynecology Unit, European Institute of Oncology IRCCS, 20141 Milan, Italy.

Anna D Iacobone (AD)

Preventive Gynecology Unit, European Institute of Oncology IRCCS, 20141 Milan, Italy.
Department of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy.

Davide Radice (D)

Division of Epidemiology and Biostatistics, European Institute of Oncology IRCCS, 20141 Milan, Italy.

Giulia Azzalini (G)

Preventive Gynecology Unit, European Institute of Oncology IRCCS, 20141 Milan, Italy.
Obstetrics and Gynecology Specialization School, University of Udine, 33100 Udine, Italy.

Maria E Guerrieri (ME)

Preventive Gynecology Unit, European Institute of Oncology IRCCS, 20141 Milan, Italy.

Eleonora P Preti (EP)

Preventive Gynecology Unit, European Institute of Oncology IRCCS, 20141 Milan, Italy.

Silvia Martella (S)

Preventive Gynecology Unit, European Institute of Oncology IRCCS, 20141 Milan, Italy.

Dorella Franchi (D)

Preventive Gynecology Unit, European Institute of Oncology IRCCS, 20141 Milan, Italy.

Classifications MeSH