Table 4 Non-uniformity of SNR improvement in 2D lipid composition spectra using DQF-COSY.

From: Phased-array combination of 2D MRS for lipid composition quantification in patients with breast cancer

 

Algorithms

Tumour specimens (N = 17)

Healthy volunteers

(N = 15, 30 voxels)

Patients

Peritumoural adipose tissue

(N = 15)

Patients

Tumours in vivo (N = 10)

Slopes (%/ppm)

CV (%)

P-value

Slopes (%/ppm)

CV (%)

P-value

Slopes (%/ppm)

CV (%)

P-value

Slopes (%/ppm)

CV (%)

P-value

Diag

Off diag

Diag

Off diag

Diag

Off diag

Diag

Off diag

External reference

WSVD

0.53

2.72

23.2 (19.7–30.8)

0.044

− 0.07

− 0.43

5.8 (4.6–6.7)

0.491

− 1.26

− 0.47

7.8 (6.4–9.8)

0.139

− 0.99

1.54

26.1 (17.7–37.2)

0.139

nd-comb

0.60

2.59

25.2 21.3–29.8)

0.022

− 0.10

− 0.42

6.0 (4.4–7.4)

0.959

− 1.34

− 0.47

8.3 (6.9–9.9)

0.445

− 1.07

1.17

25.5 (17.9–36.1)

0.445

AOC

− 0.29

2.46

26.2 (20.9–8.3)

0.001

− 0.06

− 0.45

5.7 (4.7–6.8)

0.558

− 1.27

− 0.48

7.8 (6.4–9.7)

0.575

− 1.03

0.92

25.0 (17.3–36.3)

0.575

Internal reference

WSVD

− 3.79

4.90

21.1 13.7–28.1)

0.21

− 0.18

5.5 (4.2–7.2)

− 1.08

− 0.30

6.1 (5.0–9.0)

− 1.1

2.68

20.7 (17.4–31.7)

nd-comb

− 1.01

1.66

33.3 (20.5–39.6)

0.006

− 0.03

− 0.28

6.6 (4.6–12.6)

 < 0.001

− 0.99

− 0.88

7.9 (6.4–1.4)

0.374

− 1.2

2.3

26.4 (23.0–30.9)

0.374

AOC

− 0.65

2.02

23.3 (15.8–33.3)

0.002

− 0.11

− 0.24

5.0 (4.4–8.4)

0.567

− 0.90

− 0.48

8.2 (5.6–0.7)

0.575

− 3.4

0.41

22.7 (18.1–28.2)

0.575

  1. Data for CV are medians (interquartile range). Slope along the diagonal is positive from (0.9, 0.9) ppm to (5.3, 5.3) ppm. Slope along the off diagonal is positive from reading t2/F2 at (0.9, 5.3) ppm to mixing t1/F1 at (5.3, 0.9) ppm. P-value represents the comparison on CV values between the noise decorrelated algorithms using Wilcoxon signed-rank tests. Results are presented with WSVDi as a reference for comparison. Data with negative SNR improvement were excluded (1 dataset from a healthy volunteer using AOCi, 1 dataset from a healthy volunteer using nd-combi, and 1 dataset from a tumour in patients using nd-combi). AOC = adaptively optimised combination, CV = coefficient of variance, nd-comb = noise decorrelated combination, WSVD = whitened singular value decomposition.