Publications by authors named "Jin-Ling Lu"
Purpose: So far, there is no gold standard to diagnosis dysthyroid optic neuropathy (DON). Diffusion kurtosis imaging (DKI) has the potential to provide imaging biomarkers for the timely and accurate diagnosis of DON. This study aimed to explore the white matter (WM) alterations in thyroid-associated ophthalmopathy (TAO) patients with and without DON using DKI with tract-based spatial statistics method.
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- The study investigates the effectiveness of dynamic contrast-enhanced MRI in evaluating thyroid-associated ophthalmopathy (TAO) and how patients respond to glucocorticoid treatment.
- A total of 65 TAO patients were analyzed, with 41 classified as active and 24 as inactive, comparing various MRI parameters to assess disease activity and treatment responses.
- Findings show that certain MRI metrics, particularly TTP-mean and V-mean, are significant in determining active disease and treatment response, with the study achieving moderate to good diagnostic performance in identifying these factors.
Article Synopsis
- The study aimed to assess how Dixon MRI-based quantitative measurements of extraocular muscles, intraorbital fat, and lacrimal glands can help in staging thyroid-associated ophthalmopathy (TAO) in patients.* -
- A total of 200 TAO patients were divided into training and validation groups, with results showing that active TAO patients had higher signal intensity and water fraction values, but lower fat fraction values, compared to inactive patients.* -
- The research concluded that using a combination of specific MRI parameters enhances the ability to differentiate and stage active versus inactive TAO more effectively than using a single parameter alone.*
Article Synopsis
- Dysthyroid optic neuropathy (DON) is a serious complication of thyroid-associated ophthalmopathy (TAO), necessitating a better understanding of its mechanisms for timely diagnosis.
- This study compared the brain functional networks of 66 TAO patients (28 with DON and 38 without) using resting-state functional MRI, revealing significant differences in network properties between the two groups.
- Findings suggest that alterations in static and dynamic functional networks, especially in the orbitofrontal cortex and visual network, could serve as potential biomarkers for tracking the progression of TAO from non-DON to DON.
Article Synopsis
- - The study aimed to evaluate five different sarcopenia screening tools in gastric cancer patients before surgery, focusing on various physical performance metrics and diagnosing sarcopenia according to European guidelines.
- - A cross-sectional study involved 260 patients, revealing that the prevalence rates for sarcopenia were 8.46% and for severe sarcopenia 4.62%, with significant variation (3.46% to 73.85%) based on the screening methods used.
- - Among the tools tested, SARC-CalF demonstrated the best performance metrics, with an area under the curve of 0.896, showing high sensitivity and specificity, and a Youden index indicating an optimal cutoff value of 10
Article Synopsis
- Postoperative fatigue (POF) is a prevalent issue after gastrointestinal tumor surgeries, negatively impacting patient outcomes and quality of life, and this study aims to identify its risk factors and develop an effective prediction model.
- A prospective study with 598 patients found that factors like age, education level, income, cancer stage, and mental health significantly contribute to the risk of POF.
- Among three prediction models tested, the back-propagation artificial neural networks (BP-ANN) showed the best performance in forecasting POF, suggesting its potential as a noninvasive tool for early risk identification in patients.