Publications by authors named "A Nedret Koc"
The study of scene perception is crucial to the understanding of how one interprets and interacts with their environment, and how the environment impacts various cognitive functions. The literature so far has mainly focused on the impact of low-level and categorical properties of scenes and how they are represented in the scene-selective regions in the brain, PPA, RSC, and OPA. However, higher-level scene perception and the impact of behavioral goals is a developing research area.
View Article and Find Full Text PDFObjectives: Several ultrasound (US) -based risk stratification systems (RSS) for managing thyroid nodules have been developed and introduced into clinical practice. However, there are essential differences among these systems. This study aimed to determine and compare the category-based diagnostic performance of four US-based risk stratification systems in the detection of thyroid cancer: ACR-TIRADS, ATA, K-TIRADS, and EU-TIRADS.
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- * The study involved 38 TM patients and 25 healthy controls, revealing that SWE parameters were significantly higher in TM patients compared to healthy controls, indicating more advanced liver condition.
- * Although no significant differences in SWE were found among TM patients with varying levels of iron overload, the study suggests that SWE could serve as a valuable tool for early liver damage detection, paving the way for further research.
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- This study focuses on improving the diagnostic accuracy of MRI in identifying prostate cancer lesions before biopsies, aiming to understand independent risk factors influencing biopsy results.
- An analysis of 364 patients showed that while certain MRI parameters (like PI-RADS scores and ADC values) are helpful in distinguishing cancer from benign conditions, they do not effectively predict clinically significant prostate cancer.
- The only strong predictor for clinically significant prostate cancer was the total prostate-specific antigen (PSA) level, indicating its importance in the diagnostic process.
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- Nervous system cancers show different cell states influenced by various factors, but understanding their regulation and potential treatments is still lacking.
- The "single-cell regulatory-driven clustering" (scregclust) method analyzes single-cell RNA sequencing data to identify key regulatory programs in brain tumors and developing tissues, efficiently predicting important transcription factors and kinases.
- Using this method, critical regulators were found that might enhance temozolomide treatment for glioblastoma, and its flexibility was proven by applying it to different tumor types, making it accessible as a user-friendly R package for further research.