Artificial intelligence models derived from 2D transperineal ultrasound images in the clinical diagnosis of stress urinary incontinence

Validation of a built-in software in automatically reconstructing the tomographic images of the levator ani muscle

INTRODUCTION AND HYPOTHESIS

Transperineal ultrasound (TPUS) is an effective tool for evaluating the integrity of the levator ani muscle (LAM). Several operating steps are required to obtain the standard multi-slice image of the LAM, which is experience dependent and time consuming. This study was aimed at evaluating the feasibility and reproducibility of the built-in software, Smart-pelvic™, in reconstructing standard tomographic images of LAM from 3D/4D TPUS volumes.

METHODS

This study was conducted at a tertiary teaching hospital, enrolling women who underwent TPUS. Tomographic images of the LAM were automatically reconstructed by Smart-pelvicTM and rated by two experienced observers as standard or nonstandard. The anteroposterior diameter (APD) of the levator hiatus was also measured on the mid-sagittal plane of the automatically and manually reconstructed images. The APD measurements of each approach were compared using Bland-Altman plots, and interclass correlation coefficient (ICC) was used to evaluate intra- and inter-observer reproducibility. Meanwhile, the time taken for the reconstruction process of both methods was also recorded.

RESULTS

The ultrasound volume of a total of 104 patients were included in this study. Using Smart-pelvicTM, the overall success rate of the tomographic image reconstruction was 98%. Regarding measurements of APD, the ICC between the automatic and manual reconstruction methods was 0.99 (0.98, 0.99). The average time taken for reconstruction per case was 2.65 ± 0.52 s and 22.08 ± 3.45 s, respectively.

CONCLUSIONS

Using Smart-pelvicTM to reconstruct tomographic images of LAM is feasible, and it can promote TPUS by reducing operator dependence and improving examination efficiency in a clinical setting.

Ultrasound assessment of bladder descent and its correlation with prolapse severity in Chinese women: a prospective multicenter study

INTRODUCTION AND HYPOTHESIS

Translabial ultrasound is currently regarded as one of the most promising modalities in the evaluation of female pelvic organ prolapse. However, abnormal bladder descent on pelvic floor ultrasound has not been established among Chinese women. This study aimed to establish optimal cutoffs for defining bladder prolapse among Chinese women using translabial ultrasound.

METHODS

In this prospective multicenter study, 674 women with symptoms of lower urinary tract dysfunction and/or pelvic floor dysfunction were finally included and underwent interview, Pelvic Organ Prolapse Quantification (POP-Q) examinations and 4D translabial ultrasound. The receiver-operating characteristic (ROC) statistic was used to assess accuracy and define the optimal cutoffs.

RESULTS

The mean patient age was 42.6 (range, 19-82) years. Multivariable analysis showed that both POP-Q assessment and translabial ultrasound findings for anterior compartment were significantly associated with prolapse symptoms. The ROC statistics suggested an optimal cutoff value of 10 mm below the symphysis pubis of bladder position on Valsalva for predicting prolapse symptoms, with an area under the curve (AUC) of 0.73. Compared to translabial ultrasound, POP-Q stage showed similar accuracy for predicting prolapse symptoms (AUC: 0.74; P = 0.79), with an optimal cutoff of POP-Q stage ≥ 2.

CONCLUSIONS

This study proposed that the descent of the bladder to ≥ 10 mm below the symphysis pubis on Valsalva should be proposed as an optimal cutoff value for defining abnormal bladder prolapse on translabial ultrasound among the Chinese population. These cutoff values are nearly identical to those previously established in mainly Caucasian women.