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Insights into Imaging

Table 1 Characteristics of the study population

From: Comparison of a deep learning-accelerated T2-weighted turbo spin echo sequence and its conventional counterpart for female pelvic MRI: reduced acquisition times and improved image quality

Characteristics

Total (n. %)

72 (100)

 Age (years)

35.50 (25.25–42.75)

 BMI (kg/cm2)

21.58 (19.73–23.81)

Volunteers (n. %)

24 (33)

 Age (year)

25.00 (24.00–26.75)

 BMI (kg/cm2)

19.73 (18.62–21.51)

Patients (n. %)

48 (67)

 Age (year)*

39.81 ± 8.95

 BMI (kg/cm2)

22.77 (21.25–24.15)

 Disease (n. %)

 

  Leiomyoma

27 (56)

  Adenomyosis

9 (19)

  Scarred uterus

12 (25)

  1. BMI, body-mass index
  2. *Continuous variables conforming to a normal distribution are presented as means ± standard deviations- otherwise as median (interquartile range [IQR])
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