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Predicting Fracture Risk in Patients with Metastatic Bone Disease of the Femur: A Pictorial Review Using Three Different Techniques
Author(s) -
Shan Kaupp,
Kenneth A. Mann,
Mark A. Miller,
Timothy A. Damron
Publication year - 2021
Publication title -
advances in orthopedics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.681
H-Index - 15
eISSN - 2090-3472
pISSN - 2090-3464
DOI - 10.1155/2021/5591715
Subject(s) - false positive paradox , medicine , fracture (geology) , orthopedic surgery , surgery , risk analysis (engineering) , artificial intelligence , computer science , geotechnical engineering , engineering
One of the key roles of an orthopedic surgeon treating metastatic bone disease (MBD) is fracture risk prediction. Current widely used impending fracture risk tools such as Mirels scoring lack specificity. Two newer methods of fracture risk prediction, CT-based structural rigidity analysis (CTRA) and finite element analysis (FEA), have each been shown to be more accurate than Mirels. This case series illustrates comparative Mirels, CTRA, and FEA for 8 femurs in 7 subjects. These cases were selected from a much larger data set to portray examples of true positives, true negatives, false positives, and false negatives as defined by CTRA relative to the fracture outcome. Case illustrations demonstrate comparative Mirels and FEA. This series illustrates the use, efficacy, and limitations of these tools. As all current tools have limitations, further work is needed in refining and developing fracture risk prediction.

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