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Table 3 Univariate and multivariate regression analysis of clinical characteristics in the training cohort of Lauren radiomics model and SRCC radiomics model

From: CT-based radiomics nomograms for preoperative prediction of diffuse-type and signet ring cell gastric cancer: a multicenter development and validation cohort

Lauren radiomics model Characteristics

Univariate analysis

Multivariate analysis

Odds ratio

95%CI

p value

Odds ratio

95%CI

p value

Age

0.977

(0.957, 0.997)

0.025

0.979

(0.958, 1.000)

0.049

Sex

1.425

(0.884, 2.299)

0.146

–

–

–

Tumor size

1.015

(1.001, 1.029)

0.033

–

–

–

Tumor location

1.417

(1.098, 1.827)

0.007

1.347

(1.035, 1.753)

0.027

CEA

2.359

(1.464, 3.802)

 < 0.001

2.302

(1.417, 3.740)

0.001

CA199

2.224

(1.382, 3.578)

0.001

–

–

–

SRCC radiomics

model Characteristics

Univariate analysis

Multivariate analysis

Odds ratio

95%CI

p value

Odds ratio

95%CI

p value

Age

0.984

(0.963, 1.006)

0.159

–

–

–

Sex

2.098

(1.267, 3.474)

0.004

2.044

(1.228, 3.404)

0.006

Tumor size

0.996

(0.986, 1.006)

0.387

–

–

–

Tumor location

1.472

(1.081, 2.004)

0.014

1.449

(1.058, 1.984)

0.021

CEA

0.931

(0.570, 1.520)

0.775

–

–

–

CA199

0.894

(0.548, 1.461)

0.655

–

–

–

  1. CEA carcinoembryonic antigen, CA19-9 carbohydrate antigen 19-9, SRCC signet ring cell carcinoma