BioMed Research International / 2021 / Article / Tab 3

Research Article

Using Machine Learning to Unravel the Value of Radiographic Features for the Classification of Bone Tumors

Table 3

Clinical characteristics of the included patients stratified by benign, intermediate, or malignant bone tumor.

Clinical characteristicsAll
()
Benign
()
Malignant
()
Intermediate
()
value

Age<0.001
ESR<0.001
Male496 (62.3)253 (61.4)135 (62.8)108 (63.9)0.841
Female300 (37.7)159 (38.6)80 (37.2)61 (36.1)
Redness and hyperemia20 (2.5)5 (1.2)13 (6.0)2 (1.2)0.018
Without redness and hyperemia776 (97.5)407 (98.8)202 (94.0)167 (98.8)
Swelling211 (26.5)79 (19.2)85 (39.5)47 (27.8)<0.001
Without swelling585 (73.5)333 (80.8)130 (60.5)122 (72.2)
Warmth92 (11.6)12 (2.9)59 (27.4)21 (12.4)<0.001
Without warmth704 (88.4)400 (97.1)156 (72.6)148 (87.6)
Pain472 (59.3)173 (42.0)174 (80.9)125 (74.0)<0.001
Without pain324 (40.7)239 (58.0)41 (19.1)44 (26.0)
Palpable mass275 (34.5)169 (41.0)73 (34.0)33 (19.5)<0.001
Without palpable mass521 (65.5)243 (59.0)142 (66.0)136 (80.5)
Dyskinesia171 (21.5)53 (12.9)69 (32.1)49 (29.0)<0.001
Without dyskinesia625 (78.5)359 (87.1)146 (67.9)120 (71.0)

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