- A meta-analysis on the diagnostic value of diffusion-weighted imaging on ovarian cancer. [Journal Article]J BUON 2019 Nov-Dec; 24(6):2333-2340JB
- CONCLUSIONS: This meta-analysis proved that DWI exerted a relatively high sensitivity and specificity in diagnosing ovarian cancer, especially in the Caucasian population. This conclusion still needs to be further verified in a multi-center study with a large sample size.
- Risk stratification for lateral involvement in papillary thyroid carcinoma patients with central lymph node metastasis. [Journal Article]Endocrine 2020E
- CONCLUSIONS: Our newly established model can effectively predict possible LLN metastasis in PTC patients, and a new strategy selection flow chart was created for patients with positive CLN invasion. For patients in high-risk group, prophylactic LLN dissection is recommended, if not, adjuvant radioactive iodine or a closer follow-up scheme should at least be conducted. For those in low-risk group, surgical intervention is unnecessary and regular follow-up is recommended.
- 18F-FDG PET/CT radiomic predictors of pathologic complete response (pCR) to neoadjuvant chemotherapy in breast cancer patients. [Journal Article]Eur J Nucl Med Mol Imaging 2020EJ
- CONCLUSIONS: Radiomic predictors from pre-treatment PET/CT scans when combined with patient age were able to predict pCR after NAC. We suggest that these data will be valuable for patient management.
- The Predictive Value of NT-Pro-Brain Natriuretic Peptide for Risk of Pneumonia in Patients on Maintenance Hemodialysis. [Journal Article]Blood Purif 2020; :1-8BP
- CONCLUSIONS: NT-proBNP is a predictive factor of pneumonia in hemodialysis patients.
- The Landing Error Scoring System Real-Time test as a predictive tool for knee injuries: A historical cohort study. [Journal Article]Clin Biomech (Bristol, Avon) 2020; 73:115-121CB
- CONCLUSIONS: Based on the results of this study, the landing error score system - real time test has no predictive value for knee overuse injuries, meniscal injuries, and anterior cruciate ligament injuries. However, due to the small number of cases of anterior cruciate ligament injuries, the predictive value for anterior cruciate ligament injuries of this test should be further investigated.
- NF-RCNN: Heart localization and right ventricle wall motion abnormality detection in cardiac MRI. [Journal Article]Phys Med 2020; 70:65-74PM
- Convolutional neural networks (CNNs) are extensively used in cardiac image analysis. However, heart localization has become a prerequisite to these networks since it decreases the size of input images. Accordingly, recent CNNs benefit from deeper architectures in gaining abstract semantic information. In the present study, a deep learning-based method was developed for heart localization in cardi…
Convolutional neural networks (CNNs) are extensively used in cardiac image analysis. However, heart localization has become a prerequisite to these networks since it decreases the size of input images. Accordingly, recent CNNs benefit from deeper architectures in gaining abstract semantic information. In the present study, a deep learning-based method was developed for heart localization in cardiac MR images. Further, Network in Network (NIN) was used as the region proposal network (RPN) of the faster R-CNN, and then NIN Faster-RCNN (NF-RCNN) was proposed. NIN architecture is formed based on "MLPCONV" layer, a combination of convolutional network and multilayer perceptron (MLP). Therefore, it could deal with the complicated structures of MR images. Furthermore, two sets of cardiac MRI dataset were used to evaluate the network, and all the evaluation metrics indicated an absolute superiority of the proposed network over all related networks. In addition, FROC curve, precision-recall (PR) analysis, and mean localization error were employed to evaluate the proposed network. In brief, the results included an AUC value of 0.98 for FROC curve, a mean average precision of 0.96 for precision-recall curve, and a mean localization error of 6.17 mm. Moreover, a deep learning-based approach for the right ventricle wall motion analysis (WMA) was performed on the first dataset and the effect of the heart localization on this algorithm was studied. The results revealed that NF-RCNN increased the speed and decreased the required memory significantly.
- Progranulin as a novel biomarker in diagnosis of early-onset neonatal sepsis. [Journal Article]Cytokine 2020; 128:155000C
- CONCLUSIONS: PGRN may be used as a promising biomarker for the diagnosis of EOS, and the combined use of PGRN and PCT could improve the diagnosis of sepsis.
- Analysis of the superficial middle cerebral vein in sphenoid ridge meningioma using contrast-enhanced dynamic computed tomography angiography. [Journal Article]Clin Neurol Neurosurg 2020; 191:105683CN
- CONCLUSIONS: The SRM is likely to cause occlusion or stenosis in the SMCV and influence its hemodynamics. In cases in which the connection between the SMCV and the CS or the ParaCS has been lost, the SMCV may still be involved in normal venous drainage via the collateral veins in some of those cases. Thus, the contribution of these veins to normal venous drainage in the brain should be analyzed preoperatively in careful detail.
- Three-dimensional biventricular strains in pulmonary arterial hypertension patients using hyperelastic warping. [Journal Article]Comput Methods Programs Biomed 2020; 189:105345CM
- CONCLUSIONS: Our highly reproducible methodology holds potential for extending CMR imaging to characterize 3D biventricular strains, eventually leading to deeper understanding of biventricular mechanics in PAH.
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- The NR3C1 gene expression is a potential surrogate biomarker for risk and diagnosis of posttraumatic stress disorder. [Journal Article]Psychiatry Res 2020; 284:112797PR
- Posttraumatic Stress Disorder (PTSD) is an anxiety disorder which occurs after a traumatic event. The NR3C1 gene codes for the Glucocorticoid Receptor, which participate in the Hypothalamic-Pituitary-Adrenal (HPA) axis and is altered in PTSD patients. To evaluate whether the NR3C1 gene expression in peripheral blood could be useful as a diagnosis biomarker, a total of 32 PTSD patients and 59 heal…
Posttraumatic Stress Disorder (PTSD) is an anxiety disorder which occurs after a traumatic event. The NR3C1 gene codes for the Glucocorticoid Receptor, which participate in the Hypothalamic-Pituitary-Adrenal (HPA) axis and is altered in PTSD patients. To evaluate whether the NR3C1 gene expression in peripheral blood could be useful as a diagnosis biomarker, a total of 32 PTSD patients and 59 healthy controls were analyzed with quantitative RT-PCR. Also, to assess if NR3C1 dysregulation is associated with hypocortisolism in PTSD patients, serum cortisol was quantified by ELISA in a subset of these samples. Significant NR3C1 over-expression was found in PTSD patients compared with controls, and this was higher in patients with acute PTSD. The Area Under the Curve (AUC) of NR3C1 gene expression was 0.797. The sensibility and specificity of NRC1 gene expression to diagnose PTSD was 62.5% and 89.8%, respectively. We also found that an up-regulation of NR3C1 increased the risk for being diagnosed with PTSD (OR= 12.8, 95%, CI 4-41.4). Finally, the NR3C1 gene expression was inversely related with serum cortisol in PTSD patients. The present results suggest that NR3C1 gene expression could be a promising biomarker for PTSD diagnosis and estimate the risk for disease development.