A preliminary study on discrimination of osteoporotic fractured group from nonfractured group using support vector machine.
Osteoporosis is characterized by an abnormal loss of bone mineral content, which leads to a tendency to non-traumatic bone fractures or to structural deformations of bone. Thus, bone density has been considered as a most reliable parameter to assess osteoporotic fracture risk. In past decades, by the way, bone texture measures have been studied to estimate other aspect of bone quality. Some studies have been performed on CT or MR images to assess bone quality using trabecular structure analysis. Other studies have been performed on plain x-ray images or ultrasound images to assess trabecular structure. However, most of the studies are focused on individual parameters to distinguish between osteoporotic fractured group and nonfractured group. In this preliminary study, we combine various texture parameters with bone density parameters using a support vector machine and point out the most promising combination of parameters to distinguish between osteoporotic fractured group and nonfractured group.
Lee
Sooyeul
S
IT-BT Fusion Technology Research Department, Electronics and Telecommunications Research Institute (ETRI), Daejeon, Korea.
Lee
Jeong Won
JW
Jeong
Ji-Wook
JW
Yoo
Done-Sik
DS
Kim
Seunghwan
S
D015502:Absorptiometry, Photon / Q000379:methods; D000368:Aged; D001185:Artificial Intelligence; D003937:Diagnosis, Differential; D005260:Female; D050723:Fractures, Bone / Q000000981:diagnostic imaging* / Q000209:etiology; D005598:Fractures, Spontaneous / Q000000981:diagnostic imaging* / Q000209:etiology; D006801:Humans; D010024:Osteoporosis / Q000150:complications / Q000000981:diagnostic imaging*; D010363:Pattern Recognition, Automated / Q000379:methods*; D010865:Pilot Projects; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D014954:Wrist Injuries / Q000000981:diagnostic imaging* / Q000209:etiology