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Altered RNA export by SF3B1 mutants confers sensitivity to nuclear export inhibition
SF3B1 mutations frequently occur in cancer yet lack targeted therapies. Clinical trials of XPO1 inhibitors, selinexor and eltanexor, in high-risk...
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Prediction of microvascular invasion in hepatocellular carcinoma patients with MRI radiomics based on susceptibility weighted imaging and T2-weighted imaging
BackgroundThe accurate identification of microvascular invasion (MVI) in patients with hepatocellular carcinoma (HCC) is of great clinical importance.
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Death anxiety among caregivers of patients with advanced cancer: a cross-sectional survey
PurposeThis study aimed to investigate death anxiety (DA) in caregivers of patients with advanced cancer and identify associated factors in the...
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An evaluation of morphometry and dehiscence of facial canal: a systematic review and meta-analysis of observational studies
IntroductionThe facial canal (FC) is an extensive bony canal that houses the facial nerve and occupies a central position in the petrous part of...
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Bilateral renal agenesis: fetal intervention and outcomes
Bilateral renal agenesis (BRA) is a fetal anomaly which leads to anhydramnios and resultant pulmonary hypoplasia. Historically, this anomaly was...
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The effect of cesarean delivery on the neonatal gut microbiome in an under-resourced population in the Bronx, NY, USA
BackgroundNeonatal and early-life gut microbiome changes are associated with altered cardiometabolic and immune development. In this study, we...
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3D mobile regression vision transformer for collateral imaging in acute ischemic stroke
PurposeThe accurate and timely assessment of the collateral perfusion status is crucial in the diagnosis and treatment of patients with acute...
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Targeting CD73 limits tumor progression and enhances anti-tumor activity of anti-PD-1 therapy in intrahepatic cholangiocarcinoma
Background & aimsPatients with intrahepatic cholangiocarcinoma (iCCA) respond poorly to immune checkpoint blockades (ICBs). In this study, we aimed...
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The use of artificial intelligence in musculoskeletal ultrasound: a systematic review of the literature
PurposeTo systematically review the use of artificial intelligence (AI) in musculoskeletal (MSK) ultrasound (US) with an emphasis on AI algorithm...
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Domain adaptation using AdaBN and AdaIN for high-resolution IVD mesh reconstruction from clinical MRI
PurposeDeep learning has firmly established its dominance in medical imaging applications. However, careful consideration must be exercised when...
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Impact of hepatocyte growth factor on the colonic morphology and gut microbiome in short bowel syndrome rat model
PurposeThis study aimed to investigate the impact of hepatocyte growth factor (HGF) on colonic morphology and gut microbiota in a rat model of short...
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The association between cardiac T2*BOLD and quantitative flow ratio (QFR) in the diagnosis of stenotic coronary arteries in patients with multi-vessel coronary artery disease
BackgroundT2*BOLD is based on myocardial deoxyhemoglobin content to reflect the state of myocardial oxygenation. Quantitative flow ratio is a tool...
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Clip** the Positive Lymph Node in Patients with Clinically Node Positive Breast Cancer Treated with Neoadjuvant Chemotherapy: Impact on Axillary Surgery in the ISPY-2 Clinical Trial
BackgroundFor patients with clinically node-positive (cN+) breast cancer undergoing neoadjuvant chemotherapy (NAC), retrieving previously clipped,...
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Synergistic induction of mitotic pyroptosis and tumor remission by inhibiting proteasome and WEE family kinases
Mitotic catastrophe (MC), which occurs under dysregulated mitosis, represents a fascinating tactic to specifically eradicate tumor cells. Whether...
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Patient attitudes and experiences towards exercise during oncological treatment. A qualitative systematic review
PurposeExercise and physical activity (PA) during oncological treatment have many benefits. However, PA levels and adherence are often low. This...
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Automated classification of brain MRI reports using fine-tuned large language models
PurposeThis study aimed to investigate the efficacy of fine-tuned large language models (LLM) in classifying brain MRI reports into pretreatment,...
