Journal of Forensic Sciences · 2011 · 23 citations · 5 references
Potential Error RateMusculoskeletal ImagingBiomechanicsCartilage DegenerationTool Mark AnalysisError RateSurgeryWound HealingCutting EdgeDermatologyOrthopedic BiomechanicsMedicineOrthopaedic Surgery
This study was designed to establish the potential error rate associated with the generally accepted method of tool mark analysis of cut marks in costal cartilage. Three knives with different blade types were used to make experimental cut marks in costal cartilage of pigs. Each cut surface was cast, and each cast was examined by three analysts working independently. The presence of striations, regularity of striations, and presence of a primary and secondary striation pattern were recorded for each cast. The distance between each striation was measured. The results showed that striations were not consistently impressed on the cut surface by the blade's cutting edge. Also, blade type classification by the presence or absence of striations led to a 65% misclassification rate. Use of the classification tree and cross-validation methods and inclusion of the mean interstriation distance decreased the error rate to c. 50%.
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R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 352.8K citations · Full text
Classification and Regression Trees.
Alexander Gordon, Leo Breiman, Jerome H. Friedman et al. · Biometrics · 1984 · 23.8K citations
Tool Marks in Bones and Cartilage
W Bonte · Journal of Forensic Sciences · 1975 · 77 citations