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 characteristics | All
() | Benign
() | Malignant
() | Intermediate
() | value |
| | Age | | | | | <0.001 | | ESR | | | | | <0.001 | | Male | 496 (62.3) | 253 (61.4) | 135 (62.8) | 108 (63.9) | 0.841 | | Female | 300 (37.7) | 159 (38.6) | 80 (37.2) | 61 (36.1) | | Redness and hyperemia | 20 (2.5) | 5 (1.2) | 13 (6.0) | 2 (1.2) | 0.018 | | Without redness and hyperemia | 776 (97.5) | 407 (98.8) | 202 (94.0) | 167 (98.8) | | Swelling | 211 (26.5) | 79 (19.2) | 85 (39.5) | 47 (27.8) | <0.001 | | Without swelling | 585 (73.5) | 333 (80.8) | 130 (60.5) | 122 (72.2) | | Warmth | 92 (11.6) | 12 (2.9) | 59 (27.4) | 21 (12.4) | <0.001 | | Without warmth | 704 (88.4) | 400 (97.1) | 156 (72.6) | 148 (87.6) | | Pain | 472 (59.3) | 173 (42.0) | 174 (80.9) | 125 (74.0) | <0.001 | | Without pain | 324 (40.7) | 239 (58.0) | 41 (19.1) | 44 (26.0) | | Palpable mass | 275 (34.5) | 169 (41.0) | 73 (34.0) | 33 (19.5) | <0.001 | | Without palpable mass | 521 (65.5) | 243 (59.0) | 142 (66.0) | 136 (80.5) | | Dyskinesia | 171 (21.5) | 53 (12.9) | 69 (32.1) | 49 (29.0) | <0.001 | | Without dyskinesia | 625 (78.5) | 359 (87.1) | 146 (67.9) | 120 (71.0) |
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