Predicting knee cartilage loss using adaptive partitioning of cartilage thickness maps
Research output: Contribution to journal › Journal article › Research › peer-review
Standard
Predicting knee cartilage loss using adaptive partitioning of cartilage thickness maps. / Jørgensen, Dan Richter; Dam, Erik Bjørnager; Lillholm, Martin.
In: Computers in Biology and Medicine, Vol. 43, No. 8, 2013, p. 1045-1052.Research output: Contribution to journal › Journal article › Research › peer-review
Harvard
APA
Vancouver
Author
Bibtex
}
RIS
TY - JOUR
T1 - Predicting knee cartilage loss using adaptive partitioning of cartilage thickness maps
AU - Jørgensen, Dan Richter
AU - Dam, Erik Bjørnager
AU - Lillholm, Martin
PY - 2013
Y1 - 2013
N2 - This study investigates whether measures of knee cartilage thickness can predict future loss of knee cartilage. A slow and a rapid progressor group was determined using longitudinal data, and anatomically aligned cartilage thickness maps were extracted from MRI at baseline. A novel machine learning framework was then trained using these maps. Compared to measures of mean cartilage plate thickness, group separation was increased by focusing on local cartilage differences. This result is central for clinical trials where inclusion of rapid progressors may help reduce the period needed to study effects of new disease-modifying drugs for osteoarthritis. (C) 2013 Elsevier Ltd. All rights reserved.
AB - This study investigates whether measures of knee cartilage thickness can predict future loss of knee cartilage. A slow and a rapid progressor group was determined using longitudinal data, and anatomically aligned cartilage thickness maps were extracted from MRI at baseline. A novel machine learning framework was then trained using these maps. Compared to measures of mean cartilage plate thickness, group separation was increased by focusing on local cartilage differences. This result is central for clinical trials where inclusion of rapid progressors may help reduce the period needed to study effects of new disease-modifying drugs for osteoarthritis. (C) 2013 Elsevier Ltd. All rights reserved.
KW - Osteoarthritis
KW - Knee MRI
KW - Cartilage thickness
KW - Clinical trials
KW - Machine learning
KW - Classification
KW - Spatial data mining
KW - Dimensionality reduction
U2 - 10.1016/j.compbiomed.2013.05.012
DO - 10.1016/j.compbiomed.2013.05.012
M3 - Journal article
C2 - 23773813
VL - 43
SP - 1045
EP - 1052
JO - Computers in Biology and Medicine
JF - Computers in Biology and Medicine
SN - 0010-4825
IS - 8
ER -
ID: 119703441