Sonographic risk assessment for an unplanned operative delivery: a prospective study

Perlman, Sharon; Schreiber, H; Kivilevitch, Z.; Bardin, Ron; Kassif, Eran; Achiron, Reuven; Gilboa, Yinon

doi:10.1007/s00404-022-06413-7

Cited by 4 publications

(1 citation statement)

References 38 publications

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“…Logistic regression analysis revealed that the SPAA was significantly associated with vaginal delivery. Moreover, the sensitivity of SPAA in this event was significant (AUC, 0.782; P = 0.000; 95%CI: 0.717–0.848), a finding consistent with a study by Perlman et al [ 11 ]. However, this result conflicted with data from the study by Albrich et al [ 7 ] in 2015, who failed to find an association between the SPAA and vaginal delivery.…”

Section: Discussionsupporting

confidence: 91%

Predictive value of the trans-perineal three-dimensional ultrasound measurement of the pubic arch angle for vaginal delivery

Zeng¹,

Gao²

2023

World J Clin Cases

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Inflammatory myofibroblastic tumor (IMT) of the biliary tract is rare, and often difficult to diagnose or to distinguish from other tumors due to its atypical clinical presentation and nonspecific radiological features. Histologically, IMTs are (myo)fibroblastic neoplasms with a prominent inflammatory infiltrate. They are characterized by receptor tyrosine kinase gene rearrangements, most often involving an anaplastic lymphoma kinase (ALK ) translocation. The final diagnosis of IMT depends on histopathology and immunohistochemical examination. In this manuscript, we provide a clinical and morphomolecular overview of IMT and the difficulties that may arise in using immunohistochemical and molecular techniques in diagnosing IMT.

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Section: Discussionsupporting

confidence: 91%

Predictive value of the trans-perineal three-dimensional ultrasound measurement of the pubic arch angle for vaginal delivery

Zeng¹,

Gao²

2023

World J Clin Cases

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A machine learning model to predict spontaneous vaginal delivery failure for term nulliparous women: An observational study

Xu,

Liu,

et al. 2024

Intl J Gynecology & Obste

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ObjectiveThis study aims to construct and evaluate a model to predict spontaneous vaginal delivery (SVD) failure in term nulliparous women based on machine learning algorithms.MethodsIn this retrospective observational study, data on nulliparous women without contraindications for vaginal delivery with a singleton pregnancy ≥37 weeks and before the onset of labor from September 2020 to September 2021 were divided into a training set and a temporal validation set. Transperineal ultrasound was performed to collect angle of progression, head–perineum distance, subpubic arch angle, and their levator hiatal dimensions. The cervical length was measured via transvaginal ultrasound. The delivery methods were later recorded. Through LASSO regression analysis, indicators that can affect SVD failure were selected. Seven common machine learning algorithms were selected for model training, and the optimal algorithm was selected based on the area under the curve (AUC) to evaluate the effectiveness of the validation model.ResultsFour indicators related to SVD failure were identified through LASSO regression screening: angle of progression, cervical length, subpubic arch angle, and estimated fetal weight. The Gaussian NB algorithm was found to yield the highest AUC (0.82, 95% confidence interval [CI] 0.65–0.98) during model training, and hence it was chosen for verification with the temporal validation set, in which an AUC of 0.79 (95% CI 0.64–0.95) was obtained with accuracy, sensitivity, and specificity rates of 80.9%, 72.7%, and 75.0%, respectively.ConclusionThe Gaussian NB model showed good predictive effect, proving its potential as a clinical reference for predicting SVD failure of term nulliparous women before actual delivery.

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Predictive Value of Angle of Progression in Term Nulliparous Women

Xu,

Zhang,

Zheng

et al. 2024

J of Ultrasound Medicine

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ObjectivesThis study aims to explore the correlation between the angle of progression (AOP) and spontaneous vaginal delivery (SVD) for term nulliparous women before the onset of labor. Additionally, it evaluates the diagnostic efficacy of AOP in predicting SVD in term nulliparous women.MethodsIn this retrospective observational study, data from nulliparous women without contraindications for vaginal delivery, with a singleton pregnancy ≥37 weeks, and before the onset of labor were included. Transperineal ultrasound was performed to collect AOP. The date and mode of delivery were tracked, to assess the correlation between AOP and SVD in term nulliparous women. Receiver operating characteristic (ROC) curve analysis was used to evaluate the diagnostic efficacy of AOP in predicting SVD for term nulliparous women.ResultsThe SVD‐failure (SVD‐f) group exhibited a significantly lower AOP compared with the SVD group (88.43° vs 95.72°, P < .001). Logistic regression analysis revealed that AOP was associated with SVD in term nulliparous women (OR = 1.051). ROC curve analysis demonstrated that the area under the ROC curve with AOP 84° as the threshold was 0.663, with a sensitivity of 85.25% and specificity of 43.18%. Considering a sensitivity and specificity of 90%, the dual cut‐off values for term nulliparous women for SVD were 81° and 104°, respectively.ConclusionsA positive correlation was identified between AOP and SVD for nulliparous women after 37 weeks and before the onset of labor. Notably, term nulliparous women with AOP exceeding 104° exhibited a higher probability of SVD.

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Sonographic risk assessment for an unplanned operative delivery: a prospective study

Cited by 4 publications

References 38 publications

Predictive value of the trans-perineal three-dimensional ultrasound measurement of the pubic arch angle for vaginal delivery

Predictive value of the trans-perineal three-dimensional ultrasound measurement of the pubic arch angle for vaginal delivery

A machine learning model to predict spontaneous vaginal delivery failure for term nulliparous women: An observational study

Predictive Value of Angle of Progression in Term Nulliparous Women

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