Late diagnosis of DDH might cause serious public health problems. On the other hand, early US examinations can result in false-positive diagnosis. Unfortunately, there is still confusion about the optimal time for DDH screening with US, especially among radiologists who are not specialized in DDH sonography. A US scan performed at eighth week of life can predict any pathology presence safely and correctly.

Background: Gestational diabetes mellitus (GDM) is defined as the new onset of impairment in carbohydrate tolerance during pregnancy. The aim of the current study was to define fetal epicardial fat thickness (fEFT) changes that developed before 24 weeks of gestation, to evaluate the diagnostic effectiveness of fEFT in predicting GDM diagnosis, and to correlate fEFT values with hemoglobin A1C (HbA1C) values. Methods: The study included a total of 60 GDM patients and 60 control subjects. A record consisted of fEFT measurements, maternal body mass index, maternal subcutaneous fat thickness, and fetal subcutaneous fat thickness during sonographic screening performed at 18–22 gestational weeks. Fetal abdominal circumference (AC) values, estimated fetal weight (EFW), and fetal gender were also recorded. Results: The median fEFT measurement of the whole study population was 0.9 ± 0.21 mm; 1.05 ± 0.21 mm in the GDM patients, and 0.8 ± 0.15 mm in the control group. The median fEFT values of the GDM patients were significantly higher than those of the control group ( P < 0.01). According to the correlation analysis results, a strong positive correlation was determined between the fEFT and HbA1C values ( r = 0.71, P < 0.01), gestational week of the fetus ( r = 0.76, P = P < 0.01), AC ( r = 0.81, P < 0.01), and EFW ( r = 0.71, P < 0.01). According to the receiver operating characteristic analysis results, a fEFT value of > 0.95 can predict GDM diagnosis with sensitivity of 65% and specificity of 88% (odds ratio = 13). Conclusion: fEFT values are increased in GDM cases, and the increase can be detected earlier than 24 weeks of gestation. fEFT values are positively correlated with HbA1C values and can serve as an early predictor for GDM diagnosis.

SummaryBackgroundArterial dissection is defined as the cleavage of the arterial wall by an intramural hematoma. Reports of dissection of the celiac and/or superior mesenteric artery are rare; as far as we know, only 24 cases of spontaneous isolated celiac trunk dissection, and 71 cases of spontaneous isolated superior mesenteric artery dissection have been reported.Case ReportThe case presents a 48-year-old male with a sudden-onset epigastric pain. A Computed Tomography Angiography of the thoracoabdominal aorta was applied and dissections of both the celiac artery and SMA were determined. A conservative therapeutic approach was preferred and the patient was discharged with anticoagulant and antihypertensive therapy.ConclusionsAlthough rare, spontaneous isolated celiac artery and superior mesenteric artery dissections must be kept in mind in the differential diagnosis of the epigastric pain in the emergency room. Contrast-enhanced Computed Tomography Angiography examination is the method of choice in the diagnosis.

Background/aim: Head injuries are commonly seen in the pediatric population. Noncontrast enhanced cranial CT is the method of choice to detect possible traumatic brain injury (TBI). Concerns about ionizing radiation exposure make the evaluation more challenging. The aim of this study was to evaluate the effectiveness of the Pediatric Emergency Care Applied Research Network (PECARN) rules in predicting clinically important TBI and to determine the amount of medical resource waste and unnecessary radiation exposure. Materials and methods:This retrospective study included 1041 pediatric patients presented to the emergency department. The patients were divided into subgroups of "appropriate for cranial CT", "not appropriate for cranial CT" and "cranial CT/observation of patient; both are appropriate". To determine the effectiveness of the PECARN rules, data were analyzed according to the presence of pathological findings Results: "Appropriate for cranial CT" results can predict pathology presence 118,056-fold compared to the "not appropriate for cranial CT" results. With "cranial CT/observation of patient; both are appropriate" results, pathology presence was predicted 11,457-fold compared to "not appropriate for cranial CT" results. Conclusion:PECARN rules can predict pathology presence successfully in pediatric TBI. Using PECARN can decrease resource waste and exposure to ionizing radiation.

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