Yazar "Varol, Fuesun" seçeneğine göre listele
Listeleniyor 1 - 2 / 2
Sayfa Başına Sonuç
Sıralama seçenekleri
Öğe Evaluation of Detailed Fetal Renal Sonographic Findings and the Early Neonatal Outcomes of the Patients with Fetal Pelviectasis Whom Referred After 24th Weeks of Pregnancy(Galenos Publ House, 2022) Cilingir, Isil Uzun; Sayin, Cenk; Suetcue, Havva; Inan, Cihan; Erzincan, Selen Guersoy; Varol, FuesunObjective: Analysis of detailed renal sonographic findings in the patients whom referred to our tertiary center with the diagnosis of renal pelvic dilatation (RPD) after 24 weeks of gestation.Method: The study group consisted of the patients who have referred by their doctors to our perinatology center with a diagnosis of pelviectasy. Maternal age, gestational week, right and left renal pelvis diameter, bladder diameter, amniotic fluid index, other sonographic findings and antenatal diagnosis were analysed.Results: Bilateral hydronephrosis were detected in 19 (44.1 8%) patients. Unilateral left hydronephrosis were found in 10 (23.2 5%) patients while right hydronephrosis were found in 6 (13.9 5%) patients. Mearn left renal pelvis diameter was 11.20 (4-32) mm and mean right renal pelvis diameter was 7.89 (4-18) mm. Antenatal diagnosis was vesicoureteral reflux in 16 (37.2 0%) patients, ureteropelvic junction obstruction in 9 (20.9 3%) patients, posterior urethral valves in 5 (11.6 2%) patients. The antetanal diagnosis was renal agenesia in one patient, renal cortikal cyst in one patient, policyctic renal disease in one patients and multiple dysplastic renal disease in 3 patients.Conclusion: When RPD is detected in the fetal ultrasound of during pregnancy, directing the patients to the perinatal centers for advanced evaluation is important, since it can prevent the progressive renal damage that may develop in the later years of life.Öğe INTRAUTERINE GROWTH RESTRICTION (IUGR) RISK DECISION BASED ON SUPPORT VECTOR MACHINES(Mdpi, 2010) Zengin, Zeynep; Gurgen, Fikret; Varol, FuesunThis paper studies the risk of intrauterine growth restriction (IUGR) using support vector machines (SVM). A structured and globally optimized SVM system may be preferable procedure in the identification of IUGR fetus at risk. The IUGR risk is estimated in two stages: in the first stage, noninvasive Doppler pulsatility index (PI) and resistance index (RI) of umbilical artery (UA), middle cerebral artery (MCA) and ductus venosus (DV) and amniotic fluid index (AFI) are retrospectively analyzed and the Doppler indices are applied to the SVM system to make a diagnosis decision on the fetal wellbeing as reactive or nonreactive and/or acute fetal distress (AFD) on the nonstress test (NST) (training data). In the second stage (testing data), the decision is validated by the NST (target value). Experiments are performed on previously collected data. Fortyfour preterm with IUGR and without IUGR pregnancies before 34 weeks gestation are considered. The nonparametric Bayes-risk decision rule, k-nearest neighbor (k-NN), is used for comparison. It is observed that the SVM system is proven to be useful in predicting the expected risk in IUGR cases in this small population study. The PI and RI values of UA, MCA and DV are also effective in distinguishing IUGR at risk.