» Articles » PMID: 38137769

Radiomics-Assisted Computed Tomography-Based Analysis to Evaluate Lung Morphology Characteristics After Congenital Diaphragmatic Hernia

Overview
Journal J Clin Med
Specialty General Medicine
Date 2023 Dec 23
PMID 38137769
Authors
Affiliations
Soon will be listed here.
Abstract

Children with congenital diaphragmatic hernia suffer from long-term morbidity, including lung function impairment. Our study aims to analyze lung morphology characteristics via radiomic-assisted extraction of lung features in patients after congenital diaphragmatic hernia repair. 72 patients were retrospectively analyzed after approval by the local research ethics committee. All the image data were acquired using a third-generation dual-source CT (SOMATOM Force, Siemens Healthineers, Erlangen, Germany). Dedicated software was used for image analysis, segmentation, and processing. Radiomics analysis of pediatric chest CTs of patients with status after CDH was possible. Between the ipsilateral (side of the defect) and contralateral lung, three shape features and two higher-order texture features were considered statistically significant. Contralateral lungs in patients with and without ECMO treatment showed significant differences in two shape features. Between the ipsilateral lungs in patients with and without the need for ECMO 1, a higher-order texture feature was depicted as statistically significant. By adding quantitative information to the visual assessment of the radiologist, radiomics-assisted feature analysis could become an additional tool in the future to assess the degree of lung hypoplasia in order to further improve the therapy and outcome of CDH patients.

References
1.
van Timmeren J, Cester D, Tanadini-Lang S, Alkadhi H, Baessler B . Radiomics in medical imaging-"how-to" guide and critical reflection. Insights Imaging. 2020; 11(1):91. PMC: 7423816. DOI: 10.1186/s13244-020-00887-2. View

2.
Prayer F, Watzenbock M, Heidinger B, Rainer J, Schmidbauer V, Prosch H . Fetal MRI radiomics: non-invasive and reproducible quantification of human lung maturity. Eur Radiol. 2023; 33(6):4205-4213. PMC: 10182107. DOI: 10.1007/s00330-022-09367-1. View

3.
Gillies R, Kinahan P, Hricak H . Radiomics: Images Are More than Pictures, They Are Data. Radiology. 2015; 278(2):563-77. PMC: 4734157. DOI: 10.1148/radiol.2015151169. View

4.
C Akinkuotu A, Cruz S, Abbas P, Lee T, Welty S, Olutoye O . Risk-stratification of severity for infants with CDH: Prenatal versus postnatal predictors of outcome. J Pediatr Surg. 2015; 51(1):44-8. DOI: 10.1016/j.jpedsurg.2015.10.009. View

5.
Ackerman K, Pober B . Congenital diaphragmatic hernia and pulmonary hypoplasia: new insights from developmental biology and genetics. Am J Med Genet C Semin Med Genet. 2007; 145C(2):105-8. PMC: 2891760. DOI: 10.1002/ajmg.c.30133. View