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

被引:1
作者
Urbinati, Ailyn M. Vidal M. [1 ,2 ]
Pino, Ida [1 ]
Iacobone, Anna D. [1 ,2 ]
Radice, Davide [3 ]
Azzalini, Giulia [1 ,4 ]
Guerrieri, Maria E. [1 ]
Preti, Eleonora P. [1 ]
Martella, Silvia [1 ]
Franchi, Dorella [1 ]
机构
[1] European Inst Oncol IRCCS, Prevent Gynecol Unit, I-20141 Milan, Italy
[2] Univ Sassari, Dept Biomed Sci, I-07100 Sassari, Italy
[3] European Inst Oncol IRCCS, Div Epidemiol & Biostat, I-20141 Milan, Italy
[4] Univ Udine, Obstet & Gynecol Specializat Sch, I-33100 Udine, Italy
关键词
vaginosonography; transvaginal ultrasound; cervical cancer; MRI and gynecological oncology diagnosis; ULTRASOUND; SONOVAGINOGRAPHY; MULTICENTER; SIZE;
D O I
10.3390/diagnostics12122904
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
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).
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页数:11
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