Copyright
©The Author(s) 2018.
World J Gastroenterol. Nov 14, 2018; 24(42): 4809-4820
Published online Nov 14, 2018. doi: 10.3748/wjg.v24.i42.4809
Published online Nov 14, 2018. doi: 10.3748/wjg.v24.i42.4809
Dependent variable | Independent variable1 | Univariate analysis | Multivariate analysis | |||
Odds ratio (95%CI) | P value | Odds ratio (95%CI) | P value | |||
Tumor grade | Probability of cancer | Irregular (tubular type) | 0.034 [0.013, 0.088] | < 0.0001 | 46.81 [14.55, 184.48] | < 0.0001 |
AUC = 0.89 | Irregular (papillary type) | 0.034 [0.013, 0.088] | < 0.0001 | 47.21 [7.51, 512.05] | < 0.0001 | |
Avascular area | 0.048 [0.006, 0.376] | < 0.0001 | 16.3 [1.69, 396.35] | 0.06 | ||
Invasion depth | Probability of SM deep invasive cancer2 | Disrupted vessels | 0.169 [0.058, 0.488] | 0.0004 | 3.63 [0.98, 17.69] | 0.0714 |
AUC = 0.70 | Thick vessels | 0.509 [0.127, 2.037] | 0.3325 | 22.86 [2.55, 537.18] | 0.0133 |
- Citation: Maeyama Y, Mitsuyama K, Noda T, Nagata S, Nagata T, Yoshioka S, Yoshida H, Mukasa M, Sumie H, Kawano H, Akiba J, Araki Y, Kakuma T, Tsuruta O, Torimura T. Prediction of colorectal tumor grade and invasion depth through narrow-band imaging scoring. World J Gastroenterol 2018; 24(42): 4809-4820
- URL: https://www.wjgnet.com/1007-9327/full/v24/i42/4809.htm
- DOI: https://dx.doi.org/10.3748/wjg.v24.i42.4809