Publications by authors named "Dwight Aberle"
Article Synopsis
- Fibrosis is the abnormal buildup of connective tissue due to improper healing from injuries like lack of oxygen, infections, or trauma, affecting any organ and leading to dysfunction and failure.
- It also plays a significant role in cancer development, making early diagnosis and monitoring vital for improving patient outcomes.
- This paper specifically examines fibrosis in the genito-urinary system, highlighting current imaging technologies for detection and suggesting possible future research directions.
Article Synopsis
- Fibrosis is an abnormal buildup of connective tissue due to prolonged injuries like low oxygen, infections, or physical damage, which can lead to organ dysfunction and failure.
- It is also linked to cancer development and progression, making early diagnosis and monitoring crucial for treatment and improving patient outcomes.
- The text highlights the need for better understanding and application of advanced imaging techniques to detect fibrosis in abdominal organs, discussing both current technologies and future developments for early diagnosis.
Article Synopsis
- - Injury from factors like low oxygen, infections, or physical damage can disrupt normal tissue repair, leading to fibrosis, which affects organ function and can cause organ failure.
- - Fibrosis plays a significant role in cancer development and progression, making early diagnosis and ongoing monitoring crucial for managing diseases and improving patients' quality of life.
- - This work aims to review current imaging technologies used to detect fibrosis in thoracic organs and discuss future advancements in these imaging methods.
Article Synopsis
- The study focused on developing a deep learning model to identify severe left ventricular hypertrophy (SLVH) and dilated left ventricle (DLV) from chest X-rays (CXRs), which could help in early heart failure detection.
- It analyzed 71,589 CXRs from nearly 25,000 patients, validated the model's performance against external data, and compared its accuracy to that of board-certified radiologists.
- The model achieved strong results, outperforming radiologists in detecting abnormalities and providing a publicly available dataset to support further research in this area.
Optimizing care for the obese patient in interventional radiology.
Diagn Interv Radiol
September 2017
Article Synopsis
- The rising obesity epidemic is leading to more obese patients needing treatment from interventional radiologists, as they often can't undergo more invasive procedures due to associated health issues.
- These patients face increased risks for vascular and cancer-related diseases, both of which may require intervention from radiologists.
- The review outlines specific challenges in imaging and procedures for obese patients, along with strategies to improve care and address these challenges effectively.