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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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What to Measure in Aneurysmal Subarachnoid Haemorrhage Research—An International Delphi Survey
Aneurysmal subarachnoid haemorrhage (aSAH) is a devastating condition with high mortality and morbidity. The outcome measures used in aSAH clinical...
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Repositioning chair treatment procedure for cupulolithiasis: case report (with video)
IntroductionA cupulolithiasis of the lateral semicircular canal is an accumulation of otolithic debris at the level of the cupula of the same canal....
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Impact and effect of imaging referral guidelines on patients and radiology services: a systematic review
ObjectivesThe objective of this systematic review was to offer a comprehensive overview and explore the associated outcomes from imaging referral...
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A novel olfactory sorting task
BackgroundThis study aimed to develop a simple self-administered screening tool for odor memory, which allowed users to self-test their olfactory...
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Oligodendroglioma: a neurological perspective in Sub-saharan Africa
Gliomas are a kind of brain cancer that develops from glial cells. Glial cells provide nourishment and energy to nerve cells, and they also preserve...
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Efficacy of forskolin as a promising therapy for chronic olfactory dysfunction post COVID-19
PurposeOlfactory dysfunction is increasingly common among COVID-19 patients, impacting their well-being. Reports have demonstrated decreased levels...
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Patterns of recurrence in patients with CRSwNP who underwent complete FESS
PurposeTo analyze recurrence patterns of chronic sinusitis with nasal polyposis (CRSwNP) in patients who underwent complete FESS and identify...
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Biopsy of the facial nerve in slow-onset facial palsy
IntroductionPrimary squamous cell carcinoma of the parotid gland typically presents as a palpable, often painless mass. Peripheral facial palsy as...
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Comparison of endoscopic and microscopic stapedotomy in the same patients: a prospective randomized controlled trial
PurposeThis study aimed to conduct a comparative analysis of audiological and postoperative clinical outcomes between the endoscopic and microscopic...
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Microstructural characterization of multiple sclerosis lesion phenotypes using multiparametric longitudinal analysis
Background and objectivesIn multiple sclerosis (MS), slowly expanding lesions were shown to be associated with worse disability and prognosis. Their...
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Patients with complex and very-early-onset ATL1-related spastic paraplegia offer insights on genotype/phenotype correlations and support for autosomal recessive forms of SPG3A
Spastic paraplegia type 3A (SPG3A) is the second most common form of hereditary spastic paraplegia (HSP). This autosomal-dominant-inherited motor...
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The dragonfly technique for trachea closure in temporary tracheostomies. Surgical steps and clinical results
PurposeTo assess the effectiveness of a new suturing technique called Dragonfly for the closure of temporary tracheotomies. This technique involves...
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Artificial intelligence for automatic detection and segmentation of nasal polyposis: a pilot study
PurposeAccurate diagnosis and quantification of polyps and symptoms are pivotal for planning the therapeutic strategy of Chronic rhinosinusitis with...
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Safety and performance of the new med-el total ossicular replacement prostheses
PurposeThis multicentric, retrospective study provides safety and performance data of the MED-EL total ossicular replacement prostheses (TORP).
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Stereotactic radiosurgery versus combined stereotactic radiosurgery and bevacizumab for recurrent glioblastoma; a systematic review and meta-analysis of survival
Recurrent glioblastoma (rGBM) is a brain tumor that is resistant to standard treatments. Although stereotactic radiosurgery (SRS) is a non-invasive...
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Artificial intelligence based diagnosis of sulcus: assesment of videostroboscopy via deep learning
PurposeTo develop a convolutional neural network (CNN)-based model for classifying videostroboscopic images of patients with sulcus, benign vocal...