Publications by authors named "A Labani"
Article Synopsis
- - The case involves a patient from Guinea-Conakry who was diagnosed with a pulmonary infection caused by Schistosoma mansoni, a type of parasitic worm.
- - Key indicators for diagnosis included high eosinophil counts in the blood, positive tests for antibodies, and the presence of multiple nodules in the lungs, despite negative stool and urine tests for the parasite.
- - Ultimately, the diagnosis was confirmed using a specific serum PCR test, which detects the genetic material of the parasite.
Objectives: We aimed to study classical, publicly available convolutional neural networks (3D-CNNs) using a combination of several cine-MR orientation planes for the estimation of left ventricular ejection fraction (LVEF) without contour tracing.
Methods: Cine-MR examinations carried out on 1082 patients from our institution were analysed by comparing the LVEF provided by the CVI42 software (V5.9.
Article Synopsis
- This study aimed to enhance the assessment of renal masses through MRI by analyzing T1 and T2 relaxation times.
- It involved 125 patients with normal kidneys and 75 with renal masses, measuring T1 and T2 values to evaluate differences between groups and types of renal tumors.
- While T1 values showed no significant differences across renal mass types, T2 values revealed significant differences among them, suggesting T2 mapping may be a valuable tool for differentiating renal masses.
Article Synopsis
- The study aimed to assess how an AI software predicts the likelihood of malignancy in lung nodules discovered incidentally during emergency CT scans.
- A total of 90 nodules from 83 patients were evaluated, where the AI effectively classified nodules based on their likelihood of being benign, indeterminate, or malignant.
- The AI demonstrated a high negative predictive value (NPV) of 100%, indicating that it could potentially reduce unnecessary follow-up procedures for nodules deemed benign.