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Fig. 6 | BMC Medical Imaging

Fig. 6

From: Can lymphovascular invasion be predicted by contrast-enhanced CT imaging features in patients with esophageal squamous cell carcinoma? A preliminary retrospective study

Fig. 6

Nomogram for predicting LVI status in ESCC patients. The CECT-derived imaging feature predictive model is presented using a nomogram built with the TNR, Thickness, tumor margin, and score using a multivariable logistic regression model scaled by the proportional regression coefficient of each predictor. The ranges of TNR, Thickness, and tumor margin were 1.2 to 2.4, 0.5 to 4, and 0 to 1, respectively. The proportional regression coefficients of the TNR, Thickness, and tumor margin are scaled in the points. The points for the TNR, Thickness, and tumor margin are summed to obtain the total points in the points scale. The probability of LVI in ESCC patients is the corresponding number on the lower probability of risk scale

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BMC Medical Imaging

ISSN: 1471-2342

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