Publications by authors named "Mohammadali Ataee"
Background: The management of patients with thoracolumbar burst fractures remains a topic of debate, with conservative treatment being successful in most cases but not all. This study aimed to assess the utility of machine learning models (MLMs) in predicting the need for surgery in patients with these fractures who do not respond to conservative management.
Methods: A retrospective analysis of 357 patients with traumatic thoracolumbar burst fractures treated conservatively between January 2017 and October 2023 was conducted.
Background: Degenerative lumbar spinal stenosis (LSS) is a common condition that involves the narrowing of the spinal canal. Diagnosing instability traditionally requires standing lateral radiographs to detect dynamic translation, but there is debate about relying solely on radiographs due to challenges like patient discomfort and radiation exposure. This study aimed to evaluate if Magnetic Resonance Imaging (MRI) findings could effectively diagnose instability observed on radiographs.
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- The study aims to explore how certain imaging features from multi-detector computed tomography (MDCT) related to pancreatic neuroendocrine tumors (pNETs) correlate with their histopathologic grades, seeking to develop imaging criteria to predict tumor grades.
- A review of MDCT scans from 61 patients with histopathologically confirmed pNETs revealed significant associations between tumor grade and various factors, including age, tumor size, heterogeneity, vascular encasement, and the presence of metastases.
- The researchers proposed a new set of six imaging criteria to aid in grade prediction of pNETs, emphasizing specific measurements in MDCT characteristics that differentiate between tumor grades effectively.