Lumbosacral Vertebral Angles can Predict Lumbosacral Transitional Vertebrae on Routine Sagittal MRI.

Objectives: We aimed to measure lumbosacral vertebral angles in routine lumbar sagittal MRIs and assess their association with lumbosacral transitional vertebrae (LSTV).

Methods: We recruited 220 patients referring to our hospital for routine lumbar MRI during 2020-2021. All the participants were subject to routine sagittal lumbar MRI, whole spine localizer scan, and coronal MRI to numerate lumbar vertebrae.

Mebendazole as an Adjunct Therapy with Mesalamine to Increase Efficacy and Maintenance Therapy for Ulcerative Colitis Patients: A Pilot Study.

Background: Ulcerative colitis (UC) is an inflammatory disorder of the large intestine characterized by inflammation in the mucosal tissue of the colon and rectal area. In the present pilot study, we assessed the efficacy of combining mebendazole with mesalamine in moderate UC patients.

Methods: In the present exploratory pilot trial, designed to assess both the safety and preliminary efficacy of mebendazole, a total number of 10 moderate UC patients with Mayo scores ranging from 6 to 9 were enrolled.

CONSeg: Voxelwise Uncertainty Quantification for Glioma Segmentation Using Conformal Prediction.

Background And Purpose: Accurate glioma segmentation has the potential to enhance clinical decision-making and treatment planning. Uncertainty quantification methods, including conformal prediction (CP), can enhance segmentation models reliability. CP quantifies uncertainty with statistical confidence guarantees.

Predicting IDH Mutation in Glioma Patients Using Deep Learning Algorithms with Conformal Prediction.

The World Health Organization glioma classification highlights genetic profiles, such as isocitrate dehydrogenase (IDH) mutation. This study developed an uncertainty-aware deep learning model to predict IDH mutations in glioma patients, employing conformal prediction (CP) for uncertainty quantification (UQ). The UCSF dataset split into training (70%) and validation (30%) sets, and the UPENN dataset divided into calibration (30%) and external test (70%) sets.

Accuracy of CT-Based Radiomics Models for Preoperative Grading of Clear Cell Renal Cell Carcinoma: A Systematic Review and Meta-analysis.

Purpose: High-grade clear cell renal cell carcinoma (ccRCC) is linked to aggressive behavior, higher metastatic potential, and poor overall prognosis. This study aims to assess the diagnostic performance of CT-based radiomics models for preoperative differentiation of high-grade from low-grade ccRCC.

Methods: A comprehensive systematic search was conducted across PubMed, Scopus, and Embase.

MRI-based radiomics for differentiating high-grade from low-grade clear cell renal cell carcinoma: a systematic review and meta-analysis.

Purpose: High-grade clear cell renal cell carcinoma (ccRCC) is linked to lower survival rates and more aggressive disease progression. This study aims to assess the diagnostic performance of MRI-derived radiomics as a non-invasive approach for pre-operative differentiation of high-grade from low-grade ccRCC.

Methods: A systematic search was conducted across PubMed, Scopus, and Embase.

MRI-derived deep learning models for predicting 1p/19q codeletion status in glioma patients: a systematic review and meta-analysis of diagnostic test accuracy studies.

Purpose: We conducted a systematic review and meta-analysis to evaluate the performance of magnetic resonance imaging (MRI)-derived deep learning (DL) models in predicting 1p/19q codeletion status in glioma patients.

Methods: The literature search was performed in four databases: PubMed, Web of Science, Embase, and Scopus. We included the studies that evaluated the performance of end-to-end DL models in predicting the status of glioma 1p/19q codeletion.

Significance of NMDA receptor-targeting compounds in neuropsychological disorders: An in-depth review.

N-methyl-D-aspartate receptors (NMDARs), a subclass of glutamate-gated ion channels, play an integral role in the maintenance of synaptic plasticity and excitation-inhibition balance within the central nervous system (CNS). Any irregularities in NMDAR functions, whether hypo-activation or over-activation, can destabilize neural networks and impair CNS function. Several decades of experimental and clinical investigations have demonstrated that NMDAR dysfunction is implicated in the pathophysiology of various neurological disorders.

Predicting 1p/19q Codeletion Status in Glioma Using MRI-Derived Radiomics: A Systematic Review and Meta-Analysis of Diagnostic Accuracy.

Background: The 1p/19q codeletion is a key genetic marker in gliomas and plays a crucial role in prognosis and treatment decisions. Traditional methods for detecting this genetic alteration rely on invasive tissue biopsies.

Purpose: This systematic review and meta-analysis aimed to evaluate the performance of MRI-derived radiomics-based models to predict glioma 1p/19q codeletion status.

Neuroprotective effect of cedrol in a male rat model of Parkinson's disease.

Cedrol is a natural sesquiterpene subgroup of terpenes with antioxidant and anti-inflammatory properties. This study evaluated the effect of cedrol on the 6-hydroxydopamine (6-OHDA) rat model of Parkinson's disease (PD). Unilateral injection of 6-OHDA was performed to induce the PD model.

Radiomics and machine learning models for diagnosing microvascular invasion in cholangiocarcinoma: a systematic review and meta-analysis of diagnostic test accuracy studies.

Purpose: We aimed to systematically assess the value of radiomics/machine learning (ML) models for diagnosing microvascular invasion (MVI) in patients with cholangiocarcinoma (CCA) using various radiologic modalities.

Methods: A systematic search of was conducted on Web of Sciences, PubMed, Scopus, and Embase. All the studies that assessed the value of radiomics models or ML models along with the use of imaging features were included.

Protective effects of cedrol against transient global cerebral ischemia/reperfusion injury in rat.

Background: The natural compound cedrol possess anti-inflammatory and antioxidant properties. We sought to assess the neuroprotective effect of cedrol in an animal model of transient global ischemia/reperfusion (I/R) injury.

Method: To induce transient global cerebral I/R injury, bilateral carotid arteries were temporarily occluded for 20 min.

Rutin attenuates complete Freund's adjuvant-induced inflammatory pain in rats.

Objectives: Rutin is a bioflavonoid compound renowned for its anti-oxidative, anti-inflammatory, and antinociceptive properties. The present study aims to assess its therapeutic efficacy on complete Freund's adjuvant (CFA)induced inflammatory pain.

Materials And Methods: Arthritis was induced in Wistar rats via subcutaneous administration of CFA into the right hind paw.

Neuroprotective effects of phytochemicals through autophagy modulation in ischemic stroke.

Stroke is a serious life-threatening medical condition. Understanding the underlying molecular mechanisms of this condition is crucial to identifying novel therapeutic targets that can improve patient outcomes. Autophagy is an essential mechanism for the destruction of damaged intracellular components that maintains homeostasis in physiological or pathological conditions.

Thalamic Magnetic Susceptibility (χ) Alterations in Neurodegenerative Diseases: A Systematic Review and Meta-Analysis of Quantitative Susceptibility Mapping Studies.

Background: Quantitative Susceptibility Mapping (QSM) provides a non-invasive post-processing method to investigate alterations in magnetic susceptibility (χ), reflecting iron content within brain regions implicated in neurodegenerative diseases (NDDs).

Purpose: To investigate alterations in thalamic χ in patients with NDDs using QSM.

Study Type: Systematic review and meta-analysis.

MRI-derived radiomics and end-to-end deep learning models for predicting glioma ATRX status: a systematic review and meta-analysis of diagnostic test accuracy studies.

We aimed to systematically review and meta-analyze the predictive value of magnetic resonance imaging (MRI)-derived radiomics/end-to-end deep learning (DL) models in predicting glioma alpha thalassemia/mental retardation syndrome X-linked (ATRX) status. We conducted a comprehensive search across four major databases-Web of Science, PubMed, Scopus, and Embase. All the studies that assessed the performance of radiomics and/or end-to-end DL models for predicting glioma ATRX status were included.

Safety and efficacy of flow redirection endoluminal device (FRED) for treatment of intracranial aneurysm; A systematic review and meta-analysis.

BackgroundPrevious research has shown promising results for treating intracranial aneurysms (IAs) with a flow redirection endoluminal device (FRED). In this systematic review and meta-analysis, we aimed to assess the safety and efficacy of this device by providing pooled estimates using the data from previous studies.MethodsA systematic literature search of Web of Sciences, PubMed, Scopus, and Embase was performed until October 8th, 2023.

The Association between Serum Follistatin-like Proteins and Cardiovascular Diseases: A Systematic Review and Meta-analysis.

Background: Follistatin-like proteins (FSTLs) are adipomyokines secreted by adipocytes and myocytes. Previous studies have reported an increase in circulating FSTL1 levels in response to cardiovascular injuries. In this study, we conducted a systematic review and metaanalysis to assess the association between circulating FSTLs and Cardiovascular Diseases (CVDs).

Correlation of US-7 and US-9 Scores with Disease Activity Score using 28 Joint Counts (DAS28) in Patients with Rheumatoid Arthritis.

Background: The attentive management of rheumatoid arthritis (RA) has attracted particular attention. The German 7-joint Ultrasound (US-7) is the first scoring system that combines bone erosions and soft tissue lesions in a single composite scoring system. This study aimed to assess the correlation between US-7 and Disease Activity Score Using 28 Joint Counts (DAS28) in clinically active RA patients.

Elucidating the Role of Pro-renin Receptors in Pancreatic Ductal Adenocarcinoma Progression: A Novel Therapeutic Target in Cancer Therapy.

Pancreatic cancer is a highly aggressive malignancy with a very poor prognosis. The 5- year survival in these patients is very low, and most patients develop drug resistance to current therapies, so additional studies are needed to identify the potential role of new drug targets for the treatment of pancreatic cancer. Recent investigations have been performed regarding the roles of pro-renin receptors (PRR) in the initiation and development of cancers.

Pegylated nanoliposomal cisplatin ameliorates chemotherapy-induced peripheral neuropathy.

Background: Chemotherapy-induced peripheral neuropathy (CIPN) is a serious adverse effect of cisplatin. The current study aimed to determine whether PEGylated nanoliposomal cisplatin can limit CIPN in an animal model.

Methods: Cisplatin-loaded PEGylated liposome nanoparticles (Cis-PL) were produced as a combination of lecithin, cholesterol, and DSPE-mPEG2000 in a molar ratio of 50:45:5 and were characterized by polydispersity index (PDI), zeta potential, Field emission scanning electron microscopy (FESEM) analysis, as well as encapsulation efficiency (EE).

Medicinal Plants for the Treatment of Neuropathic Pain: A Review of Randomized Controlled Trials.

Neuropathic pain is a disabling condition caused by various diseases and can profoundly impact the quality of life. Unfortunately, current treatments often do not produce complete amelioration and can be associated with potential side effects. Recently, herbal drugs have garnered more attention as an alternative or a complementary treatment.