Affiliation:
1. Department of Ultrasound, Shandong Maternal and Child Health Care Hospital Affiliated to Qingdao University, Jinan, Shandong Province, China
2. Department of Ultrasound, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong Province, China
Abstract
Background::
Fetal small bowel obstruction (SBO) is a serious condition with high morbidity and mortality rates. Prenatal ultrasound is an important tool for
detecting SBO, but the optimal cutoff value for intestinal diameter remains undefined.
Objective::
This study aimed to investigate the ultrasonic characteristics of fetal SBO and determine the optimal cutoff value for intestinal diameter to enhance
prenatal ultrasound diagnosis.
Methods::
We retrospectively analyzed the ultrasonic characteristics and postpartum data of 76 cases diagnosed with SBO. Receiver operating characteristic
(ROC) curve analysis was performed to identify the optimal cutoff value for dilated intestinal diameter.
Results::
Among the 76 cases, 31 displayed the “double bubble sign” on ultrasound, with 20 cases identified as annular pancreas, 6 as duodenal atresia, and
5 as duodenal membranous stenosis. In 45 cases, the lesions were located in the jejunal or ileal segment and exhibited intestinal dilatation above
the lesion site, including 27 cases of small bowel atresia, 7 cases of membranous jejunal stenosis, and 11 cases of small bowel volvulus. Out of the
76 cases, 9 showed no abnormalities after birth. ROC curve analysis determined optimal cutoff values of 17.5mm and 10.5mm for predicting
“double bubble sign” lesions in the gastric and duodenal widths. For predicting small intestinal dilatation, the optimal cutoff values for dilated
width and length of the intestinal tube were 11.5mm and 21.5mm, respectively, with high sensitivity and specificity.
Conclusion::
Ultrasonic imaging and changes in intestinal diameter provide valuable information for prenatal diagnosis and management of SBO. Establishing
these cutoff values can improve the accuracy of prenatal ultrasound diagnosis for SBO.
Funder
2021 Annual Science and Technology Innovation Plan project
National Natural Science Foundation
Publisher
Bentham Science Publishers Ltd.
Subject
Radiology, Nuclear Medicine and imaging
Cited by
1 articles.
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