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Oocyte/zygote/embryo maturation arrest: a clinical study expanding the phenotype of NOBOX variants.
J Assist Reprod Genet
January 2025
Vrije Universiteit Brussel (VUB), Universitair Ziekenhuis Brussel (UZ Brussel), Clinical Sciences, Research Group Genetics, Reproduction and Development, Centre for Medical Genetics, Laarbeeklaan 101, 1090, Brussels, Belgium.
Purpose: Primary ovarian insufficiency (POI) is an important cause of female infertility, stemming from follicle dysfunction or premature oocyte depletion. Pathogenic variants in genes such as NOBOX, GDF9, BMP15, and FSHR have been linked to POI. NOBOX, a transcription factor expressed in oocytes and granulosa cells, plays a pivotal role in folliculogenesis.
View Article and Find Full Text PDFBackground: Urine neutrophil gelatinase-associated lipocalin (uNGAL) is a biomarker for the early diagnosis of AKI.
Objectives: To evaluate uNGAL in dogs with non-associative immune mediated hemolytic anemia (IMHA) and to evaluate whether uNGAL correlates with disease severity markers, negative prognostic indicators and outcome.
Animals: Twenty-two dogs with non-associative IMHA and 14 healthy dogs.
Diagnostic Accuracy of Artificial Intelligence for Detection of Rib Fracture on X-ray and Computed Tomography Imaging: A Systematic Review.
J Imaging Inform Med
January 2025
Department of Orthopedic Surgery, Arrowhead Regional Medical Center, Colton, CA, USA.
Rib pathology is uniquely difficult and time-consuming for radiologists to diagnose. AI can reduce radiologist workload and serve as a tool to improve accurate diagnosis. To date, no reviews have been performed synthesizing identification of rib fracture data on AI and its diagnostic performance on X-ray and CT scans of rib fractures and its comparison to physicians.
View Article and Find Full Text PDFAutomated Integration of AI Results into Radiology Reports Using Common Data Elements.
J Imaging Inform Med
January 2025
Department of Radiology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St., Philadelphia, PA, 19104, USA.
Integration of artificial intelligence (AI) into radiology practice can create opportunities to improve diagnostic accuracy, workflow efficiency, and patient outcomes. Integration demands the ability to seamlessly incorporate AI-derived measurements into radiology reports. Common data elements (CDEs) define standardized, interoperable units of information.
View Article and Find Full Text PDFFear of cancer recurrence in long-term colorectal cancer survivors: a nationwide cross-sectional study.
J Cancer Surviv
January 2025
The Daffodil Centre, The University of Sydney, A Joint Venture With Cancer Council NSW, 153 Dowling St, Woolloomooloo, Sydney, NSW, 2011, Australia.
Purpose: Knowledge about fear of cancer recurrence (FCR) among recurrence-free long-term colorectal cancer survivors (CRCS) is limited. This national cross-sectional study aimed to (1) assess the prevalence and correlates of FCR among CRCS; (2) investigate associations between colorectal cancer-specific symptoms and FCR; and (3) identify predictors of interest in engaging in FCR treatment.
Methods: We identified 9638 living Danish CRCS, age above 18 years, diagnosed between 2014 and 2018 through the Danish Clinical Registries.
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