Association of glycosylated hemoglobin concentrations with structural and functional brain changes in the normoglycemic population: A systematic review.

Optimal glucose control is crucial for maintaining brain health and preventing metabolic and cognitive disorders in the general population. Glycosylated hemoglobin (HbA1c) serves as a key marker for assessing glucose intolerance and its impact on brain structure and function in healthy individuals. However, existing literature presents conflicting findings, necessitating a systematic review to consolidate current knowledge in this domain.

Impact of different reconstruction algorithms and setting parameters on radiomics features of PSMA PET images: A preliminary study.

Purpose: Radiomics analysis of oncologic positron emission tomography (PET) images is an area of significant activity and potential. The reproducibility of radiomics features is an important consideration for routine clinical use. This preliminary study investigates the robustness of radiomics features in PSMA-PET images across penalized-likelihood (Q.

CT radiomics analysis of primary colon cancer patients with or without liver metastases: a correlative study with [F]FDG PET uptake values.

Purpose: Utilizing [F]Fluoro-2-deoxy-D-glucose Positron Emission Tomography/Computed Tomography ([F]FDG PET/CT) scans on primary colon cancer (CC) patients including with liver metastases (LM), we aimed to determine the relationship between structural CT radiomic features and metabolic PET standard uptake value (SUV) in these patients.

Material And Method: A retrospective analysis was performed on 60 patients with primary CC, of which 40 had liver metastases that were more than 2 cm in diameter. [F]FDG PET/CT was used to calculate SUVmax, and 42 CT radiomic characteristics were extracted from non-enhanced CT images.

Reproducibility assessment of radiomics features in various ultrasound scan settings and different scanner vendors.

Introduction: Radiomics in Ultrasound (US) imaging has been investigated for the prediction and prognosis of cancers. However, inter-scanner and intra-scanner variations may affect the reproducibility of radiomics results. This study aims to evaluate the reproducibility of US textural radiomics features across various scan settings and scanner vendors.