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Table 1 Characteristics and use of data samples in chronological order

From: Atri-U: assisted image analysis in routine cardiovascular magnetic resonance volumetry of the left atrium

  Training and evaluation of Atri-U Evaluation in clinical setting Evaluation aspect
Sample A B C D1 D2  
Ground truth of segmentation, landmarks and ES TA and CA
(100 each)
TA and CA TA and CA
(25 each)
GS n.a Atri-U modules
Training of Atri-U X X X X
Evaluation of modules X X X
Evaluation of \(LA{V}_{\mathrm{max}}\) X X Atrial volume
Proposal of segmentation, landmarks and ES n.a n.a n.a GS and Atri-U Atri-U Clinical value (time and quality)
Independent check n.a n.a n.a PH PH
Count 200 50 50 50 100  
Sample type 1/3 random subsample, 2/3 selected subsample Random sample# Consecutive sample  
Acquisition interval 2014–06/2018 07/2018–06/2019 After 07/2019  
Magnetic field strength (1.5/3 Tesla) 150/100 25/25 112/38  
Atrial dilatation 64 (26%) 16 (32%) 30 (20%)  
Structural heart disease* 189 (76%) 35 (70%) 103 (69%)  
  1. The convolutional neural networks were trained on sample A, validated on sample B and Atri-U was finally tested on sample C. The time saving value was elaborated on the partially overlapping samples D1 and D2, processed by a senior radiologist and Atri-U, respectively, and rated by a senior cardiologist. *Details on the subtypes of structural heart disease are listed in Additional file 1: Table S2 and Figure S2. #While maintaining the ratio of magnetic field strength at 1:1
  2. ES = end-systole, CA, GS, PH, TA = authors initials, \({LAV}_{max}\) = maximum left atrial volume, n.a. = not applicable, (tick) means available/completed, X means not available/not performed