Prediction of placenta accreta spectrum with nomogram combining radiomic and clinical factors: A novel developed and validated integrative model

Abstract

Objective: To develop and validate a clinicoradiomic nomogram based on sagittal T2WI images to predict placenta accreta spectrum (PAS). Methods: Between October 2016 and April 2022, women suspected of PAS by ultrasound were enrolled. After taking into account exclusion criteria, 132 women were retrospectively included in the study. The variance threshold SelectKBest and the least absolute shrinkage and selection operator were applied to select radiomic features, which was further used to calculate the Rad-score. Multivariable logistic regression was used to screen clinical factor. Results: Based on 13 radiomic features, five radiomic models were constructed. A clinical factor of intraplacental T2-hypointense bands was obtained by multivariate logistic regression. The area under the curve (AUC) value of the stochastic gradient descent (SGD) radiomic model was 0.82 in the training cohort and 0.78 in the test cohort. After adding clinical factors to the SGD radiomic model, the AUC value of the clinicoradiomic model was significantly increased from 0.82 and 0.78 to 0.84 in both the training and test cohorts. The nomogram of the clinicoradiomic model was constructed, which had good performance verified by calibration and a decision curve. Conclusion:The presented nomogram could be useful for predicting PAS.

The value of the combined MR imaging features and clinical factors Nomogram model in predicting intractable postpartum hemorrhage due to placenta accreta

“…The significance of our research's Nomogram predictive model is primarily focused on the occurrence of IPH caused by placenta accreta. Recent studies [18][19][20] have reported the significance of related Nomogram predictive models for placenta accreta spectrum. They found Nomogram predictive model constructed with certain MRI imaging features and clinical characters have value in the prediction of placenta accreta spectrum.…”

Effect of placenta location detected by ultrasound on the severity of placenta accreta spectrum in patients with placenta previa and placenta accreta spectrum

“…Evaluating patients with PAS is of paramount importance, but identifying the many risk factors involved can be challenging. Recent studies have developed clinical prediction models based on clinical data, highlighting the potential for timely risk stratification of the target population [26,27]. A prospective cohort study constructed a model including four key variables (loss of clear zone, abnormal placental lacunae, placental bulge and bladder wall interruption) was shown to reliably predict presence and severity of PAS.…”

Letter to the editor: Radiomics features of patients with placenta accreta spectrum: A quantification of heterogeneity caused by intraplacental T2‐hypointense bands

“…We read with interest the article by Hu et al 1 titled “Prediction of placenta accreta spectrum with nomogram combining radiomic and clinical factors: A novel developed and validated integrative model”. The authors showed that the clinicoradiomic model, combining the intraplacental T2‐hypointense bands (ITHB) visually assessed by the radiologist and radiomics features, had balanced diagnostic performance in training and test cohorts in differentiating between placenta accreta spectrum (PAS) and normal placenta.…”