Publications by authors named "Setareh Reza Soltani"
Photon-counting computed tomography (PCCT) is an innovative mechanism used for imaging and provides higher spatial resolution and contrast sensitivity in comparison with the orthodox energy-integrating detectors (EIDs). Unlike EID-based CT systems, which indirectly convert X-ray photons to electrical signals, PCCT directly counts and quantifies each photon's energy, enhancing image quality and material separation. With all of these features, PCCT is especially useful for cardiovascular imaging, where it is essential to precisely observe cardiac tissues, vascular structures, and coronary arteries.
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- - Cardiovascular diseases are the top global health issue, making accurate diagnosis crucial; artificial intelligence (AI) and machine learning (ML) are being explored for improving cardiovascular imaging techniques like echocardiography and MRI.
- - The review highlights AI's potential in diagnosing various heart issues, such as coronary artery disease and arrhythmias, which could enhance diagnostic accuracy and personalized treatment.
- - Despite its promise, challenges such as data quality, interpretability of AI models, and ethical concerns need to be addressed, requiring collaboration among clinicians, data scientists, and policymakers for effective implementation in healthcare.
Article Synopsis
- Mammary Paget's disease (MPD) is a rare malignancy affecting the nipple-areolar complex, showing symptoms like itching, redness, and even severe signs like lumps or discharge, often linked to underlying breast cancers.
- The condition can easily be confused with other skin issues, delaying diagnosis and treatment; only one-third of patients have a noticeable lump, making awareness of chronic lesions crucial.
- Accurate diagnosis requires a comprehensive approach including MRI and biopsy, since relying solely on mammography or ultrasound can lead to missed cases, emphasizing the importance of establishing clear guidelines for managing nipple lesions to prevent misdiagnosis.
Post-intensive care syndrome (PICS) is the term used to describe the decline in the physical, cognitive, and/or mental condition of individuals who have been discharged from the intensive care unit (ICU). This complication could result in a significant reduction in quality of life, with some patients experiencing symptoms of prolonged weakness, depression, anxiety, and post-traumatic stress disorder (PTSD). Intensive care advancement over the years has resulted in an increase in ICU survival rates and a proportional increase in PICS, creating a need for more in-depth research into the prevention and management of the disease.
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