Background: The Gene Expression Classifier (GEC) and Genomic Sequencing Classifier (GSC) were developed to improve risk stratification of indeterminate nodules. Our aim was to assess the clinical utility in a European population with restrictive diagnostic workup.
Methods: Clinical utility of the GEC was assessed in a prospective multicenter cohort of 68 indeterminate nodules. Diagnostic surgical rates for Bethesda III and IV nodules were compared to a historical cohort of 171 indeterminate nodules. Samples were post hoc tested with the GSC.
Results: The GEC classified 26% as benign. Surgical rates between the prospective and historical cohort did not differ (72.1% vs. 76.6%). The GSC classified 59% as benign, but misclassified six malignant lesions as benign.
Conclusion: Implementation of GEC in management of indeterminate nodules in a European country with restrictive diagnostic workup is currently not supported, especially in oncocytic nodules. Prospective studies with the GSC in European countries are needed to determine the clinical utility.
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http://dx.doi.org/10.1002/hed.27472 | DOI Listing |
Pharmazie
December 2024
Department of Pharmacology and Toxicology, Faculty of Pharmacy, King Abdulaziz University, Jeddah, Saudi Arabia.
: Major Depressive Disorder (MDD) is a prevalent and debilitating mental disorder that has been linked to hyperhomocysteinemia and folate deficiency. These conditions are influenced by the methylenetetrahydrofolate reductase () gene, which plays a crucial role in converting homocysteine to methionine and is essential for folate metabolism and neurotransmitter synthesis, including serotonin. : This study explored the association between and polymorphisms among Saudi MDD patients attending the Erada Complex for Mental Health and Erada Services outpatient clinic in Jeddah, Saudi Arabia.
View Article and Find Full Text PDFJ Imaging Inform Med
January 2025
School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, Tempe, AZ, USA.
Vision transformer (ViT)and convolutional neural networks (CNNs) each possess distinct strengths in medical imaging: ViT excels in capturing long-range dependencies through self-attention, while CNNs are adept at extracting local features via spatial convolution filters. While ViT may struggle with capturing detailed local spatial information, critical for tasks like anomaly detection in medical imaging, shallow CNNs often fail to effectively abstract global context. This study aims to explore and evaluate hybrid architectures that integrate ViT and CNN to leverage their complementary strengths for enhanced performance in medical vision tasks, such as segmentation, classification, reconstruction, and prediction.
View Article and Find Full Text PDFCell Biochem Biophys
January 2025
Department of Zoology, MMV, Banaras Hindu University, Varanasi, 221005, UP, India.
Putranjiva roxburghii is an important medicinal plant utilized for remedy of female reproductive ailments. Its seed extract is being used as a uterine health booster due to the presence of several pharmaceutically important phytochemicals. However, the presence of phytochemicals in its leaf is still unexplored.
View Article and Find Full Text PDFJ Occup Rehabil
January 2025
McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, USA.
Purpose: We aimed to develop an online vocational rehabilitation (VR) readiness screening (VRRS) tool for young adults diagnosed with cancer. VR readiness was defined as being physically and cognitively ready to enter or return to work or school.
Methods: We developed an initial VRRS tool informed by previous studies, a scoping review to determine such a tool had not already been developed, and consultation with subject matter experts.
Acta Neurochir (Wien)
January 2025
Department of Neurosurgery and Department of Neuroscience, Fujian Key Laboratory of Brain Tumors Diagnosis and Precision Treatment, Xiamen Key Laboratory of Brain Center, the First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian, China.
Purpose: To investigate the technique for dorsal median sulcus (DMS) mapping and assess its application value in preserving dorsal columnn (DC) function during intramedullary space occupying surgery based on a single-center experience.
Methods: A retrospective analysis was conducted on 41 cases of intramedullary spinal cord tumor admitted to the Department of Neurosurgery at the First Affiliated Hospital of Xiamen University from March 2017 to August 2023. All included cases underwent intraoperative electrophysiological monitoring, and were divided into a study group (n = 18) and a control group (n = 23), based on whether DMS mapping technique was utilized.
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