Any number of imaging studies may be needed, including X-ray imaging, computed tomography (CT) scanning, magnetic resonance imaging (MRI), positron emission tomography (PET), and/or ... forms behave ...

Chronic lymphocytic leukemia (CLL) often causes overwhelming fatigue that does not go away with rest. A person may be able to manage fatigue due to CLL with lifestyle changes and dietary adjustments.

Practice-changing studies in frontline and relapsed/refractory chronic lymphocytic leukemia (CLL), presented at the American Society of Hematology (ASH) 2024 Annual Meeting and Exposition ...

Long-term data support the safety and efficacy of venetoclax (Venclexta) and obinutuzumab (Gazyva) in chronic lymphocytic leukemia (CLL), though questions remain about which patients would benefit ...

This year’s most-read articles on chronic lymphocytic leukemia (CLL) and small lymphocytic lymphoma (SLL) explored treatment adherence patterns, patient symptom assessment, research on treatment ...

A PET scan can help doctors spot cancer that has spread through the body. A doctor may request one during the melanoma diagnostic process if they suspect advanced melanoma cancer. A PET scan is an ...

Chronic lymphocytic leukemia (CLL) is a type of cancer that affects white blood cells (WBCs). Since these blood cells are part of the immune system, CLL affects the body’s ability to fight germs.

Imaging studies like computed tomography (CT) scans may be used to see if lymph nodes or organs are enlarged. In routine follow-ups, blood tests and imaging may assess the progression of CLL.

SAN DIEGO — Brian Koffman found himself in a situation a couple years ago that most chronic lymphocytic leukemia patients eventually do: relapse. The expectation in CLL is that, no matter what ...

Vitale shared the latest update via X on Thursday night after the encouraging results of a recent PET scan. Vitale, who was diagnosed with vocal cord cancer last July, thanked his supporters in a ...

Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors.