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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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Development of Technetium-99m and Rhenium-188 Radiopharmaceuticals Containing a Terminal Metal–Nitrido Multiple Bond for Diagnosis and Therapy
The chemistry of nitrido complexes of technetium has played an important role in the search of new Tc-99m radiopharmaceuticals and in providing...
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Monitoring Multidrug Resistance P-Glycoprotein Drug Transport Activity with Single-Photon Emission Computed Tomography and Positron Emission Tomography Radiopharmaceuticals
Multidrug resistance (MDR) mediated by overexpression of MDR1 P-glycoprotein (Pgp) is one of the best characterized transporter-mediated barriers to...
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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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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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Radiopharmaceuticals for Positron Emission Tomography Imaging of Somatostatin Receptor Positive Tumors
The targeting of somatostatin receptors in tumors has been a goal in cancer treatment and diagnosis since the 1980s. Over the past two decades, great...
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Rhenium and Technetium Complexes Anchored by Phosphines and Scorpionates for Radiopharmaceutical Applications
This review presents a comprehensive overview of the most significant developments in the chemistry of technetium and rhenium complexes anchored by...
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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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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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Radiolabeled Integrin αvβ3 Antagonists as Radiopharmaceuticals for Tumor Radiotherapy
Integrins are a family of proteins that facilitate cellular adhesion to and migration on the extracellular matrix proteins found in intercellular...
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6-Hydrazinonicotinamide Derivatives as Bifunctional Coupling Agents for 99mTc-Labeling of Small Biomolecules
99mTc-labeled small biomolecules are a class of receptor-based, target specific radiopharmaceuticals for the detection of various diseases, such as...
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New Organometallic Technetium Complexes for Radiopharmaceutical Imaging
It is the objective of this review to introduce the reader to the current status of organometallic chemistry, oriented towards the development of...
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Development and validation of AI-derived segmentation of four-chamber cine cardiac magnetic resonance
BackgroundCardiac magnetic resonance (CMR) in the four-chamber plane offers comprehensive insight into the volumetrics of the heart. We aimed to...
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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,...
