Kidney fat by magnetic resonance spectroscopy in type 2 diabetes with chronic kidney disease.

Background And Hypothesis: The kidneys may be susceptible to ectopic fat and its lipotoxic effects, disposing them to chronic kidney disease (CKD) in type 2 diabetes (T2D). We investigated whether the kidney parenchyma fat content and kidney sinus fat volume would be higher in persons with T2D and CKD.

Methods: Cross-sectional study including 29 controls, 27 persons with T2D and no CKD, and 48 persons with T2D and early CKD (urine albumin creatinine ratio (UACR) ≥ 30 mg/g).

Simulated data for census-scale entity resolution research without privacy restrictions: a large-scale dataset generated by individual-based modeling.

Background: Entity resolution (ER) is the process of identifying and linking records that refer to the same real-world entity. ER is a fundamental challenge in data science, and a common barrier to ER research and development is that the data fields used for this fuzzy matching are personally identifiable information, such as name, address, and date of birth. The necessary restrictions on accessing and sharing these authentic data have slowed the work in developing, testing, and adopting new methods and software for ER.

Effects of dynamic [F]NaF PET scan duration on kinetic uptake parameters in the knee.

Introduction: Accurately estimating bone perfusion and metabolism using [F]NaF kinetics from shorter scan times could help address concerns related to patient comfort, motion, and throughput for PET scans. We examined the impact of changing the PET scan duration on the accuracy of [F]NaF kinetic parameters in the knee.

Methods: Both knees of twenty participants with and without osteoarthritis were scanned using a hybrid PET-MRI system (53 ± 13 years, BMI 25.

Automated Quantitative Image-Derived Input Function for the Estimation of Cerebral Blood Flow Using Oxygen-15-Labelled Water on a Long-Axial Field-of-View PET/CT Scanner.

The accurate estimation of the tracer arterial blood concentration is crucial for reliable quantitative kinetic analysis in PET. In the current work, we demonstrate the automatic extraction of an image-derived input function (IDIF) from a CT AI-based aorta segmentation subsequently resliced to a dynamic PET series acquired on a Siemens Vision Quadra long-axial field of view scanner in 10 human subjects scanned with [O]HO. We demonstrate that the extracted IDIF is quantitative and in excellent agreement with a delay- and dispersion-corrected sampled arterial input function (AIF).

Multimodality Imaging in Cranial Giant Cell Arteritis: First Experience with High-Resolution T1-Weighted 3D Black Blood without Contrast Enhancement Magnetic Resonance Imaging.

In order to support or refute the clinical suspicion of cranial giant cell arteritis (GCA), a supplemental imaging modality is often required. High-resolution black blood Magnetic Resonance Imaging (BB MRI) techniques with contrast enhancement can visualize artery wall inflammation in GCA. We compared findings on BB MRI without contrast enhancement with findings on 2-deoxy-2-[F]fluoro-D-glucose positron emission tomography/low-dose computed tomography (2-[F]FDG PET/CT) in ten patients suspected of having GCA and in five control subjects who had a 2-[F]FDG PET/CT performed as a routine control for malignant melanoma.