M. R. A. Matias
A5024219165- Radiomics and Machine Learning in Medical Imaging
- AI in cancer detection
- Genomics and Rare Diseases
- Genetic factors in colorectal cancer
- Breast Cancer Treatment Studies
- Genomic variations and chromosomal abnormalities
Cincinnati Children's Hospital Medical Center
2019
University of Cincinnati Medical Center
2019
UnityPoint Health Meriter
2019
Meriter Hospital
2019
Abstract Background Wire localization is historically the most common method for guiding excision of non-palpable breast lesions, but there are limitations to technique. Newer technologies such as magnetic seeds may allow some these challenges be overcome. The aim was compare safety and effectiveness wire seed techniques. Methods Women undergoing standard or lesions between August 2018 2020 were recruited prospectively this IDEAL stage 2a/2b platform cohort study. primary outcome defined...
Abstract Whole exome sequencing (WES) is expected to impact patient management, but data surrounding the types of downstream effects and how frequently these are observed depending on type WES results received limited. This study investigated changes medical management genetic counseling (GC) options following for individuals with positive negative results. Electronic records patients who had ( n = 37) or 41) from Cincinnati Children's Hospital were retrospectively reviewed. Pre‐ post‐WES GC...