Purpose: The intention here is to enhance the usefulness of the Gjedde-Patlak plot of dynamic positron emission tomography (PET) tracer uptake. Two additional parameters closely related to the physiologically significant and diagnostically useful phosphorylation rate k (3) are therefore studied. Additionally, their inter-institutional transportability is examined.
Methods: The two traditional parameters obtained from a Patlak plot are its slope Ki and its usually ignored tissue/plasma (=Q/Cp) axis intercept V. As a useful result, a normalized uptake rate may be defined as k=Ki /V. This is can be theoretically close to k (3). Similar to this an alternative normalized uptake rate is defined as k (3)' =Ki /V '. Here, V ' would be a composite of model rate constants, reasonably known a priori, and the measured V so as to depend less on errors in the latter. Parameter determination demonstrations utilize data from the 2-deoxy-2-[F-18]fluoro-D-glucose(FDG)-PET literature.
Results: Using median k (i) values from 24 FDG dynamic studies and algebraic relationships, on average: k=1.07 k (3)(r=0.97), and k (3)' =0.95k (3) (r=0.91). A skeletal muscle case also demonstrates agreements with k (3). For liver malignancies k and k (3)' can be diagnostically slightly superior to Ki. Unaffected by institutionally dependent Q and Cp calibrations and methods, these can be more robust than Ki in a number of circumstances.
Conclusion: Two studied physiologically meaningful parameters, close to the diagnostically important k (3), can supplement Ki and enhance Patlak analysis by appropriately utilizing normally ignored information. Hitherto, k (3) was obtainable only by complex nonlinear least squares compartmental model analysis. The additional parameters can have more robust inter-institutional transportability than Ki.
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http://dx.doi.org/10.1007/s11307-009-0280-6 | DOI Listing |
Water Res X
May 2025
Institute for Artificial Intelligence R&D of Serbia, Fruškogorska 1, Novi Sad 21000, Serbia.
This study evaluates three Machine Learning (ML) models-Temporal Kolmogorov-Arnold Networks (TKAN), Long Short-Term Memory (LSTM), and Temporal Convolutional Networks (TCN)-focusing on their capabilities to improve prediction accuracy and efficiency in streamflow forecasting. We adopt a data-centric approach, utilizing large, validated datasets to train the models, and apply SHapley Additive exPlanations (SHAP) to enhance the interpretability and reliability of the ML models. The results show that TKAN outperforms LSTM but slightly lags behind TCN in streamflow forecasting.
View Article and Find Full Text PDFIEEE Trans Instrum Meas
May 2024
School of Mechanical Engineering, Shandong University, Jinan 250061, Shandong, China.
Automatic retinal layer segmentation with medical images, such as optical coherence tomography (OCT) images, serves as an important tool for diagnosing ophthalmic diseases. However, it is challenging to achieve accurate segmentation due to low contrast and blood flow noises presented in the images. In addition, the algorithm should be light-weight to be deployed for practical clinical applications.
View Article and Find Full Text PDFJ Pain Res
January 2025
Department of Pain Management Center, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.
Objective: Chemotherapy-induced peripheral neuropathy (CIPN) is a common side effect of chemotherapy and it is currently intractable We compared the efficacy of transcutaneous electrical acupoint stimulation (TEAS) against non-TEAS groups and investigated the variables that predict effective relief of upper extremity pain in cancer survivors with CIPN.
Methods: We retrospectively collected data of cancer survivors who developed CIPN between May 2017 to March 2022. All eligible CIPN patients were divided into TEAS group (received TEAS) and non-TEAS group (did not receive TEAS) in our department.
Perspect Clin Res
July 2024
Professor and Head, Department of Pharmacology All India Institute of Medical Sciences, Virbhadra Road, Rishikesh, Uttarakhand, India.
Objective: The objective of the study was to estimate the pleiotropic effect of teneligliptin on high-sensitivity C-reactive protein (hs-CRP) levels and some cardiorenal parameters in comparison to glimepiride, both as add-on therapy to metformin.
Methodology: This 12-week open-label, parallel-group, randomized controlled trial was conducted among Indian people with type 2 diabetes mellitus and on metformin monotherapy with poor glycemic control (glycated hemoglobin >7% or 53 mmol/mol). The endpoints were mean change in hs-CRP levels, systolic blood pressure (SBP), diastolic blood pressure (DBP), serum creatinine, blood urea, estimated glomerular filtration rate (eGFR), and change in cardiovascular (CV) risk categories from baseline to end of 12 weeks.
Anim Reprod
January 2025
Hebei Key Laboratory of Animal Diversity, College of Life Sciences, Langfang Normal University, Hebei Langfang, China.
More than 90% of spermatozoa of boars in pork producing countries is stored in liquid at 17 °C; however, the quality of these spermatozoa is affected by bacterial breeding and oxidative damage. This study analyzed sperm quality and sperm capacitation after storage to study the effects of the effects of ZnO nanoparticles (ZnO NPs) supplementation on seminal plasma (SP)-free sperm preservation. We investigated the effects of adding 20, 50, 100 and 200 μg/mL of ZnO NPs to a seminal free boar sperm diluent over a 7-day period at 17 °C to assess the changes in non-capacitated/capacitated sperm quality parameters, antioxidant capacity, ATP content and extent of protein tyrosine phosphorylation.
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