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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