Publications by authors named "R Pintican"
Article Synopsis
- - Vasculitis is a rare condition that causes inflammation of blood vessels and can affect various body systems, making diagnosis and treatment challenging due to its diverse symptoms.
- - Large vessel vasculitis (LVV), specifically giant cell arteritis (GCA) and Takayasu arteritis (TAK), can lead to severe health issues, and early detection is vital to prevent potential organ damage.
- - Imaging techniques like CT angiography, ultrasound, MRI, and PET-CT play a crucial role in diagnosing LVV by showing signs of vessel wall changes, and a collaborative approach among healthcare professionals is essential for better patient care.
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View Article and Find Full Text PDFUrethral mesh placement has become a common surgical intervention for the management of stress urinary incontinence. While this procedure offers significant benefits, it is not without potential complications. This review article aims to provide a comprehensive overview of urethral mesh assessment in oncologic patients.
View Article and Find Full Text PDFThis study aimed to assess the effectiveness of saline sealing in reducing the incidence of pneumothorax after a CT-guided lung biopsy. This was a retrospective case-control study of patients who underwent CT-guided biopsies for lung tumors using 18 G semiautomatic core needles in conjunction with 17 G coaxial needles. The patients were divided into two consecutive groups: a historical Group A (n = 111), who did not receive saline sealing, and Group B (n = 87), who received saline sealing.
View Article and Find Full Text PDFArticle Synopsis
- The study aimed to evaluate the effectiveness of a deep learning model for automatically segmenting pelvic/ovarian and omental lesions in high-grade serous ovarian cancer on CT scans.
- Using 451 CT scans for training, evaluation, and testing, the model was compared against existing methods and trainee radiologist segmentations.
- Results indicated that the deep learning model significantly outperformed the standard method for pelvic/ovarian lesions and performed comparably to a trainee radiologist, suggesting that automated segmentation is a viable tool in clinical settings.