Results 191 to 200 of about 171,926 (385)
A pre‐cannulation survey of the circle of Willis (CoW) using transcranial Doppler (TCD) ultrasound was implemented to assess cerebral collateral circulation in children undergoing VA ECMO or cardiac surgery with cervical cannulation. The technique, in use since 2019, employs high‐end ultrasound platforms to assess brain morphology, haemorrhage and ...
Tristan Reddan +3 more
wiley +1 more source
Diagnostic accuracy of physical examination compared with color doppler ultrasound in the determination of testis size and varicocele diagnosis [PDF]
Bruno Camargo Tiseo +5 more
openalex +1 more source
Abstract Children with inflammatory bowel diseases (IBD) have limited access to the available advanced therapies, given the lengthy gap between adult and pediatric approval. We aimed to review key hurdles for pediatric trials and recommend practical solutions.
Dan Turner +21 more
wiley +1 more source
Diagnosis of twin reversed arterial perfusion sequence in the first trimester by transvaginal color Doppler ultrasound [PDF]
P. Schwärzler +5 more
openalex +1 more source
Abstract Cystic biliary atresia (CBA) is a rare variant of biliary atresia that closely resembles choledochal cyst (CC), complicating diagnosis and potentially delaying critical surgical intervention. We report two cases of CBA that were difficult to diagnose.
Hamza Hassan Khan +2 more
wiley +1 more source
Seminal, clinical and color-Doppler ultrasound correlations of prostatitis-like symptoms in males of infertile couples [PDF]
Francesco Lotti +8 more
openalex +1 more source
Objectives Based on pelvic floor ultrasound and Glazer pelvic floor surface electromyography parameters in postpartum patients with stress urinary incontinence (SUI), this study aims to establish a model and explore its clinical value in predicting the disease.
Lingyu Yang +4 more
wiley +1 more source
Deep Learning‐Based Skin Lesion Classification
High‐frequency ultrasound (HFUS) is valuable for assessing skin lesions, supporting diagnosis, treatment monitoring, and surgical planning. This study evaluates deep learning models for binary classification of HFUS images acquired in B‐mode and Doppler mode.
Isabela Rocha Veiga da Silva +5 more
wiley +1 more source

