AIMC Topic: Hemangioma

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Feature gene selection and functional validation of SH3KBP1 in infantile hemangioma using machine learning.

Biochemical and biophysical research communications
BACKGROUND: Infantile hemangioma (IH) is a prevalent vascular tumor in infancy with a complex pathogenesis that remains unclear. This study aimed to investigate the underlying mechanisms of IH using comprehensive bioinformatics analyses and in vitro ...

Focal liver lesion diagnosis with deep learning and multistage CT imaging.

Nature communications
Diagnosing liver lesions is crucial for treatment choices and patient outcomes. This study develops an automatic diagnosis system for liver lesions using multiphase enhanced computed tomography (CT). A total of 4039 patients from six data centers are...

Robot-Assisted Excision of a Left Ventricular Myxoma and Hemangioma.

Innovations (Philadelphia, Pa.)
Left ventricular masses are rare entities that often require surgical excision when diagnosed due to the risk of embolization. We report 2 separate patients presenting with evidence of cerebral embolization both of whom were diagnosed with isolated l...

MRI-based deep learning model for differentiation of hepatic hemangioma and hepatoblastoma in early infancy.

European journal of pediatrics
UNLABELLED: Hepatic hemangioma (HH) and hepatoblastoma (HBL) are common pediatric liver tumors and present with similar clinical manifestations with limited distinguishing value of serum AFP in early infancy. An accurate differentiation diagnostic to...

Perioperative outcomes of robot-assisted versus laparoscopic liver resection for cavernous hemangioma: a propensity score matching study.

Surgical endoscopy
BACKGROUND: Minimally invasive techniques have increasingly been adopted for liver resection. This study aimed to compare the perioperative outcomes of robot-assisted liver resection (RALR) with laparoscopic liver resection (LLR) for liver cavernous ...

Deep Learning-Based Magnetic Resonance Imaging in Diagnosis and Treatment of Intracranial Aneurysm.

Computational and mathematical methods in medicine
This study was focused on the positioning of the intracranial aneurysm in the magnetic resonance imaging (MRI) images using the deep learning-based U-Net model, to realize the computer-aided diagnosis of the intracranial aneurysm. First, a network wa...

Transoral robotic resection of an adult laryngeal haemangioma and review of the literature.

The Journal of laryngology and otology
BACKGROUND: Haemangioma of the adult larynx is an uncommon, benign lesion. The optimal surgical method of treating these lesions is controversial because only very limited case series are available. This paper reports the results of transoral robotic...

A customizable P hydrogel applicator for brachytherapy of skin hemangioma based on machine learning and 3D-printing.

Journal of materials chemistry. B
Skin hemangioma is a tumor originating from skin blood vessels, which often occurs in infants and children. Brachytherapy with the P-based radionuclide applicator is an effective non-invasive therapeutic method. However, the inordinance of lesions is...

Atypical hemangioma mimicking mixed hepatocellular cholangiocarcinoma: Case report.

Medicine
RATIONALE: Hemangioma of the liver is a benign hepatic tumor, more common in women than in men, which is typically asymptomatic, solitary, and incidentally discovered. Atypical hemangioma is a variant of hepatic hemangioma with atypical imaging findi...