Radiomic Machine Learning for Characterization of Prostate Lesions with MRI: Comparison to ADC Values

Authors :: Simon A. A. Kohl
Klaus H. Maier-Hein
Kaneschka Yaqubi
Heinz Peter Schlemmer
Markus Hohenfellner
Patrick Schelb
Tristan Anselm Kuder
M. Wiesenfarth
David Bonekamp
Jan Philipp Radtke
Philipp Kickingereder
Bertram Hitthaler
Boris Hadaschik
Michael Götz
Fenja Deister
Nils Gählert
Martin T. Freitag
Source :: Radiology. 289:128-137
Publication Year :: 2018
Publisher :: Radiological Society of North America (RSNA), 2018.
Abstract: Quantitative measurement of the mean apparent diffusion coefficient (ADC) was more accurate than prospective clinical assessment in classifying a lesion as clinically significant prostate cancer ra...

Subjects :: medicine.medical_specialty
business.industry
medicine.disease
030218 nuclear medicine & medical imaging
body regions
Lesion
03 medical and health sciences
Prostate cancer
0302 clinical medicine
Text mining
medicine.anatomical_structure
Prostate
030220 oncology & carcinogenesis
medicine
Effective diffusion coefficient
Radiology, Nuclear Medicine and imaging
Radiology
medicine.symptom
business

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