Copyright
©The Author(s) 2021.
World J Gastroenterol. Feb 21, 2021; 27(7): 609-623
Published online Feb 21, 2021. doi: 10.3748/wjg.v27.i7.609
Published online Feb 21, 2021. doi: 10.3748/wjg.v27.i7.609
Table 1 Participant demographics
| Total (n = 145), mean ± SD (% of cohort) | NASH | NAFL | |
| Total cohort (n) | 145 | 87 | 58 |
| Sex (male) | 88 (60.7%) | 46 | 42a |
| Age | 60.2 ± 13.1 | 60.9 ± 13.2 | 59 ± 12.9 |
| BMI average | 28.8 ± 4.7 | 29.9 ± 4.4 | 27.1 ± 4.8c |
| Normal BMI (≥ 18.5 ≤ 22.9) | 21.4 ± 1.6 (n = 17) | n = 6 | n = 12 |
| Overweight (≥ 23.0 ≤ 27.9) | 25.6 ± 1.1 (n = 43) | n = 26 | n = 26 |
| Obese (≥ 27.5) | 32.1 ± 3.2 (n = 82) | n = 55 | n = 20 |
| Blood serum tests | |||
| AST (IU/L) | 47.8 ± 27.5 | 56.4 ± 29.8 | 34.8 ± 17.1c |
| ALT (IU/L) | 59.8 ± 49.3 | 71.3 ± 51.5 | 42.6 ± 41.4c |
| GGT | 85.9 ± 78.4 | 97.8 ± 85.8 | 69.3 ± 62.9b |
| Total bilirubin (mg/dL) | 0.86 ± 0.4 | 0.8 ± 0.3 | 0.9 ± 0.4 |
| Platelets (× 104/μL) | 19.4 ± 7.3 | 19.9 ± 7.5 | 18.8 ± 7 |
| HbA1C (%) | 6.5 ± 1.1 | 6.6 ± 1.0 | 6.5 ± 1.1 |
| Fasting insulin (mU/mL) | 20 ± 14.2 | 20.6 ± 11.6 | 19 ± 17.4 |
| Fasting blood glucose (mg/dL) | 124 ± 34.7 | 126.1 ± 32.5 | 120.8 ± 37.8 |
| Albumin (g/dL) | 4.3 ± 0.5 | 4.3 ± 0.4 | 4.2 ± 0.5 |
| Non-invasive test | |||
| cT1 | 871 ± 102 (n = 143) | 907 ± 90 (n = 87) | 817 ± 96c (n = 56) |
| MR liver fat | 11.4 ± 6.1 (n = 143) | 13.6 ± 5.8 (n = 87) | 8.1 ± 5.1c (n = 56) |
| CAP | 294.3 ± 47.4 (n = 117) | 309.1 ± 37.1 (n = 74) | 268.9 ± 52.7c (n = 43) |
| VCTE-LSM | 12.8 ± 9.5 (n = 117) | 13 ± 8.4 (n = 74) | 12.5 ± 11.1 (n = 43) |
| MRE | 4.2 ± 1.7 (n = 144) | 4.3 ± 1.5 (n = 88) | 4.1 ± 1.9 (n = 56) |
| SE | 9.3 ± 2.7 (n = 84) | 9.6 ± 2.4 (n = 50) | 8.8 ± 3.1 (n = 33) |
| Reported pre-existing conditions | |||
| Hypertensive | n = 71 | n = 45 | n = 26 |
| Dyslipidaemic | n = 111 | n = 72 | n = 39 |
| Reported as diabetic | n = 97 | n = 59 | n = 38 |
Table 2 Range of histology scores reported across the entire cohort
| Histology scores from biopsy (n = 144) | ||||
| Score | Total | NASH | NAFL | |
| Steatosis (Brunt) | 0 | 13 | 0 | 13 |
| 1 | 74 | 36 | 37 | |
| 2 | 35 | 30 | 5 | |
| 3 | 21 | 20 | 1 | |
| Lobular inflammation | 0 | 13 | 0 | 1 |
| 1 | 91 | 48 | 51 | |
| 2 | 35 | 35 | 9 | |
| 3 | 4 | 3 | 0 | |
| Ballooning | 0 | 39 | 0 | 39 |
| 1 | 72 | 55 | 16 | |
| 2 | 32 | 31 | 1 | |
| 3 | 0 | 0 | 0 | |
| Fibrosis (Kleiner) | 0 | 5 | 1 | 0 |
| 1 | 24 | 10 | 14 | |
| 2 | 27 | 16 | 11 | |
| 3 | 55 | 39 | 15 | |
| 4 | 31 | 19 | 12 | |
| NAS | 0 | 0 | 0 | 0 |
| 1 | 5 | 0 | 5 | |
| 2 | 23 | 0 | 22 | |
| 3 | 26 | 0 | 26 | |
| 4 | 25 | 25 | 1 | |
| 5 | 37 | 35 | 2 | |
| 6 | 16 | 16 | 0 | |
| 7 | 8 | 8 | 0 | |
| 8 | 2 | 2 | 0 | |
Table 3 Spearman's correlation coefficients for all variables
| cT1, (n = 143) | MR liver fat (n = 143) | MRE (n = 144) | VCTE-LSM (n = 117) | CAP (n = 117) | 2D SWE (n = 84) | |
| Fibrosis | 0.24, P < 0.01 | -0.25, P <0.01 | 0.75, P < 0.001 | 0.69, P < 0.001 | 0.05, P = 0.58 | 0.72, P < 0.001 |
| Steatosis | 0.29, P < 0.001 | 0.70, P < 0.001 | -0.23, P < 0.01 | -0.09, P = 0.23 | 0.39, P < 0.001 | -0.07, P = 0.53 |
| Lobular inflammation | 0.31, P < 0.001 | 0.28, P < 0.001 | 0.16, P < 0.01 | 0.15, P = 0.10 | 0.26, P < 0.01 | 0.16, P = 0.15 |
| Ballooning | 0.39, P < 0.001 | 0.29, P < 0.001 | 0.32, P < 0.01 | 0.29, P < 0.01 | 0.33, P < 0.001 | 0.34, P < 0.001 |
| NAS | 0.58, P < 0.001 | 0.64, P < 0.001 | 0.06, P = 0.44 | 0.13, P = 0.13 | 0.49, P < 0.001 | 0.16, P = 0.13 |
Table 4 Inter-rater variability between the three pathologists for each histology metric
| Histological metric | Pathologists | Kappa weighted | Lower CI | Upper CI | ASE | P value | Overall inter-rater variability |
| Steatosis | 1 vs 2 | 0.609 | 0.517 | 0.7 | 0.0467 | < 0.0001 | 0.584 |
| 1 vs 3 | 0.483 | 0.388 | 0.579 | 0.0489 | < 0.0001 | ||
| 2 vs 3 | 0.585 | 0.485 | 0.686 | 0.0513 | < 0.0001 | ||
| Lobular inflammation | 1 vs 2 | 0.118 | 0.0631 | 0.173 | 0.0281 | < 0.0001 | 0.109 |
| 1 vs 3 | 0.0376 | 0.00574 | 0.0695 | 0.0163 | 0.02 | ||
| 2 vs 3 | 0.179 | 0.0699 | 0.288 | 0.0556 | 0.001 | ||
| Ballooning | 1 vs 2 | 0.297 | 0.205 | 0.389 | 0..047 | < 0.0001 | 0.398 |
| 1 vs 3 | 0.459 | 0.344 | 0.573 | 0.0583 | < 0.0001 | ||
| 2 vs 3 | 0.27 | 0.18 | 0.36 | 0.0453 | < 0.0001 | ||
| Fibrosis | 1 vs 2 | 0.719 | 0.65 | 0.788 | 0.0353 | < 0.0001 | 0.398 |
| 1 vs 3 | 0.571 | 0.496 | 0.647 | 0.0386 | < 0.0001 | ||
| 2 vs 3 | 0.597 | 0.521 | 0.672 | 0.0385 | < 0.0001 | ||
| NAS | 1 vs 2 | 0.279 | 0.202 | 0.357 | 0.0398 | < 0.0001 | 0.421 |
| 1 vs 3 | 0.244 | 0.172 | 0.316 | 0.0366 | < 0.0001 | ||
| 2 vs 3 | 0.434 | 0.35 | 0.518 | 0.043 | < 0.0001 |
- Citation: Imajo K, Tetlow L, Dennis A, Shumbayawonda E, Mouchti S, Kendall TJ, Fryer E, Yamanaka S, Honda Y, Kessoku T, Ogawa Y, Yoneda M, Saito S, Kelly C, Kelly MD, Banerjee R, Nakajima A. Quantitative multiparametric magnetic resonance imaging can aid non-alcoholic steatohepatitis diagnosis in a Japanese cohort. World J Gastroenterol 2021; 27(7): 609-623
- URL: https://www.wjgnet.com/1007-9327/full/v27/i7/609.htm
- DOI: https://dx.doi.org/10.3748/wjg.v27.i7.609
