Radiomics based on F-FDG PET/CT could differentiate breast carcinoma from breast lymphoma using machine-learning approach: A preliminary study.
Journal:
Cancer medicine
Published Date:
Nov 25, 2019
Abstract
PURPOSE: Our study assessed the ability F-fluorodeoxyglucose (FDG) positron emission tomography (PET)/computed tomography (CT) radiomics to differentiate breast carcinoma from breast lymphoma using machine-learning approach.
Authors
Keywords
Adult
Aged
Aged, 80 and over
Breast Neoplasms
Diagnosis, Differential
Female
Fluorodeoxyglucose F18
Follow-Up Studies
Humans
Image Processing, Computer-Assisted
Lymphoma
Machine Learning
Middle Aged
Positron Emission Tomography Computed Tomography
Prognosis
Radiopharmaceuticals
Retrospective Studies
ROC Curve