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Table 1 Demographic and clinical information for both training and validation set used in this study

From: Prediction of lipomatous soft tissue malignancy on MRI: comparison between machine learning applied to radiomics and deep learning

  Training set Validation set
Data size (number of cases) 85 (40 lipomas, 45 ALTs) 60 (28 lipomas, 32 ALTs)
Age (years, mean ± SD) 60.7 ± 11.1 58.0 ± 10.2
Sex 45 females, 40 males 27 females, 33 males
Tumour volume (cm3, mean ± SD [range]) 371 ± 578 [5.3–3690] 265 ± 314 [3.7–1266]
Tumour major axis length (cm, mean ± SD [range]) 9.58 ± 4.76 [2.4–29.4] 9.46 ± 4.83 [2.1–22.7]
Tumour location (number, percentage)
 Lower limbs 57, 67.1% 41, 68.3%
 Upper limbs 12, 14.1% 12, 20.0%
 Abdomen 7, 8.3% 1, 1.7 %
 Torso 9, 10.7% 6, 10.0%
  1. ALTs atypical lipomatous tumours, Range minimum−maximum values, SD standard deviation