Exploring the diagnostic value of ultrasound radiomics for neonatal respiratory distress syndrome.

BACKGROUND: Neonatal respiratory distress syndrome (NRDS) is a prevalent cause of respiratory failure and death among newborns, and prompt diagnosis is imperative. Historically, diagnosis of NRDS relied mostly on typical clinical manifestations, chest X-rays, and CT scans. However, recently, ultrasound has emerged as a valuable and preferred tool for aiding NRDS diagnosis. Nevertheless, evaluating lung ultrasound imagery necessitates rigorous training and may be subject to operator-dependent bias, limiting its widespread use. As a result, it is essential to investigate a new, reliable, and operator-independent diagnostic approach that does not require subjective factors or operator expertise. This article aims to explore the diagnostic potential of ultrasound-based radiomics in differentiating NRDS from other non-NRDS lung disease. METHODS: A total of 150 neonatal lung disease cases were consecutively collected from the department of neonatal intensive care unit of the Quanzhou Maternity and Children's Hospital, Fujian Province, from September 2021 to October 2022. Of these patients, 60 were diagnosed with NRDS, whereas 30 were diagnosed with neonatal pneumonia, meconium aspiration syndrome (MAS), and transient tachypnea (TTN). Two ultrasound images with characteristic manifestations of each lung disease were acquired and divided into training (n = 120) and validation cohorts (n = 30) based on the examination date using an 8:2 ratio. The imaging texture features were extracted using PyRadiomics and, after the screening, machine learning models such as random forest (RF), logistic regression (LR), K-nearest neighbors (KNN), support vector machine (SVM), and multilayer perceptron (MLP) were developed to construct an imaging-based diagnostic model. The diagnostic efficacy of each model was analyzed. Lastly, we randomly selected 282 lung ultrasound images and evaluated the diagnostic efficacy disparities between the optimal model and doctors across differing levels of expertise. RESULTS: Twenty-two imaging-based features with the highest weights were selected to construct a predictive model for neonatal respiratory distress syndrome. All models exhibited favorable diagnostic performances. Analysis of the Youden index demonstrated that the RF model had the highest score in both the training (0.99) and validation (0.90) cohorts. Additionally, the calibration curve indicated that the RF model had the best calibration (P = 0.98). When compared to the diagnostic performance of experienced and junior physicians, the RF model had an area under the curve (AUC) of 0.99; however, the values for experienced and junior physicians were 0.98 and 0.85, respectively. The difference in diagnostic efficacy between the RF model and experienced physicians was not statistically significant (P = 0.24), whereas that between the RF model and junior physicians was statistically significant (P < 0.0001). CONCLUSION: The RF model exhibited excellent diagnostic performance in the analysis of texture features based on ultrasound radiomics for diagnosing NRDS.

Construction of the amniotic fluid-derived exosomal ceRNA network associated with ventricular septal defect.

Ventricular septal defect (VSD) is the most frequent congenital cardiac malformations. Amniotic fluid (AF) contains a higher abundance of biological compounds that could reflect fetal health information. The aims of our study were to construct a competitive endogenous RNA (ceRNA) network based on AF-derived exosomal ncRNAs. We conducted whole transcriptome profiling in six pairs of AF-derived exosomes from VSD fetuses and matched healthy controls. A total of 1252 differentially expressed (DE) mRNAs, 256 DE-miRNAs and 1090 DE-lncRNAs were found to be significantly altered in the VSD group. We constructed a ceRNA regulatory network including 46 mRNAs, 11 miRNAs and 47 lncRNAs. The expression level of 6 hub RNAs were validated using qRT-PCR. In conclusion, AF-derived exosomal VSD-related ceRNAs provide a basis for a better understanding of the role of ncRNAs in the pathogenesis and mechanisms of VSD, which may lead to the discovery of potential diagnostic biomarkers for fetal VSD.

Measurement of fetal conus distance with 3D ultrasonography as a reliable prenatal diagnosis method for tethered cord syndrome.

AIM: The aim of this study is to investigate if three-dimensional (3D) ultrasonography is a reliable diagnosis method for prenatal tethered cord syndrome (TCS) by measuring fetal conus distance (CD) in comparison to two-dimensional (2D) ultrasonography and magnetic resonance imaging (MRI). METHODS: This retrospective study included 468 normal fetuses as control group and 14 TCS fetuses as tethered group. CD were measured by 2D, 3D ultrasonography and MRI, and the reliability and repeatability of CD measurement was compared between two experienced ultrasound specialists or among the multiple measurements for each specialist. RESULTS: The results showed that 3D ultrasonography was superior to 2D ultrasonography in the repeatability of measuring CD. The CD were positively correlated to gestational ages in control group (P < 0.05). The CD of TCS group (-1.342 ± 0.124) was significantly shorter than that of normal control group (0.013 ± 0.965) (P < 0.01). There were no significant differences in the effectiveness of locating conus medullaris and measuring CD between 3D ultrasonography and MRI.Conclusion Measurement of fetal CD with 3D ultrasonography can serve as a reliable and cost-effective prenatal diagnosis method for TCS.

CT-assessed sarcopenia is a predictive factor for both long-term and short-term outcomes in gastrointestinal oncology patients: a systematic review and meta-analysis.

BACKGROUND: The impact of sarcopenia on the outcome of gastrointestinal (GI) oncological patients is still controversial. We aim to discuss the prevalence of sarcopenia and its relation to the oncological outcome. METHODS: Embase, Medline, PubMed, and the Cochrane library were systematically searched for related keywords. Studies using CT to assess sarcopenia and evaluate its relationship with the outcome of GI oncological patients were included. Long-term outcomes, including overall survival and disease-free survival, were compared by hazard ratios (HRs) with 95% confidence intervals (CIs). Short-term outcomes, including total complications and major complications (Clavien-Dindo ≥IIIa) after curable surgery, were compared by the risk ratio (RR) and 95% CI. RESULTS: A total of 70 studies including 21,875 patients were included in our study. The median incidence of sarcopenia was 34.7% (range from 2.1 to 83.3%). A total of 88.4% of studies used skeletal muscle index (SMI) in the third lumbar level on CT to define sarcopenia, and a total of 19 cut-offs were used to define sarcopenia. An increasing trend was found in the prevalence of sarcopenia when the cut-off of SMI increased (ß = 0.22, 95% CI = 0.12-0.33, p < 0.001). The preoperative incidence of sarcopenia was associated both with an increased risk of overall mortality (HR = 1.602, 95% CI = 1.369-1.873, P < 0.001) and with disease-free mortality (HR = 1.461, 95% CI = 1.297-1.646, P < 0.001). Moreover, preoperative sarcopenia was a risk factor for both total complications (RR = 1.188, 95% CI = 1.083-1.303, P < 0.001) and major complications (RR = 1.228, 95% CI = 1.042-1.448, P = 0.014). CONCLUSION: The prevalence of sarcopenia depends mostly on the diagnostic cut-off points of different criteria. Preoperative sarcopenia is a risk factor for both long-term and short-term outcomes.

Prenatal Ultrasound Evaluation of the Position of Conus Medullaris for the Diagnosis of Tethered Cord Syndrome.

To determine the conus distance between the end of the conus medullaris and the distal end of the last vertebral body in healthy fetuses with various gestational ages using ultrasonography for its diagnostic value in tethered cord syndrome (TCS). This retrospective study included 540 healthy and 8 autopsy-confirmed TCS fetuses. Ultrasonographic measurement of the conus distance was performed when the fetus was in a prone position within the spine in the near field at 14 to 41 weeks of gestational age. Linear correlation analysis was performed to analyze the relationship between the conus distance and the gestational age, biparietal diameter, femur length, head circumference, and abdominal circumference. The normal results were compared with 8 cases of postnatally confirmed TCS. In 526 (95.9%) of 548 fetuses, the conus distance was successfully measured. The 95% limits of agreement in measurement of conus distance were -2.2 to 2.6 mm for the intraobserver variability and -3.7 to 3.1 mm for the interobserver variability. Significant correlations between the conus distance and the gestational age, biparietal diameter, femur length, head circumference, and abdominal circumference were observed. The most marked association was found to be between conus distance and femur length. The conus distance was significantly less in TCS fetuses than in healthy fetuses. Ultrasonographic measurement of conus distance is an easy and reliable method to evaluate the position of the conus medullaris and, therefore, can be helpful in the prenatal diagnosis of TCS.