Body composition assessment by artificial intelligence can be a predictive tool for short-term postoperative complications in Hartmann’s reversals

Table 3 Body composition types, prevalence and cut-offs for definitions at L3

Prevalence	n (%)	Reference for cut-offs
Sarcopenia definitions
SMI: M < 52.4 cm²/m² and F < 38.5 cm²/m²	21 (44.7%)	[11, 12]
SMA: M < 144.3 cm² and F < 92.2 cm²	10 (21.3%)	[7, 13]
SMR: M < 38.5 HU and F < 34.3 HU	24 (51.0%)	[7, 13]
Visceral obesity definitions
VAT > 100 cm²	31 (66.0%)	[12, 15]
VAT M > 168 cm², F > 80 cm²	26 (55.3%)	[12, 17]
V/S > 0.4	41 (87.2%)	[15, 18]
Body Mass Index (BMI)
Underweight (< 18.5 kg/m²)	0 (0%)	[19]
Healthy weight (18.5 – 24.9 kg/m²)	17 (36.1%)	[19]
Overweight (25.0 – 29.0 kg/m²)	11 (23.4%)	[19]
Obese (> 30 kg/m²)	19 (40.4%)	[19]
Sarcopenic obesity definition VAT > 100 cm² + SMI: M < 52.4 cm²/m² and F < 38.5 cm²/m²	12 (25.5%)	[12, 16]

L3 Lumbar spine 3, M males, F females, SMA Skeletal muscle area, SMI Skeletal muscle index, SMR Skeletal muscle radiodensity, VAT Visceral adipose tissue, SAT Subcutaneous adipose tissue, V/S VAT/SAT, BMI Body mass index, HU Hounsfield units

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