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Table 3 Univariate and multivariate Cox regression model for PFS in CRLM

From: Preoperative CT-based morphological heterogeneity for predicting survival in patients with colorectal cancer liver metastases after surgical resection: a retrospective study

Characteristic

Univariate Analysis

Multivariate Analysis

HR (95%CI)

p-value

HR (95%CI)

p-value

Sex (female vs. male)

1.247 (0.810, 1.921)

0.316

  

Age (year)

0.992 (0.975, 1.010)

0.379

  

Time of finding CRLM

(synchronous vs. metachronous)

0.998 (0.587, 1.696)

0.993

  

Number of CRLM

1.093 (1.013, 1.179)

0.022

  

Size of largest CRLM (mm)

1.007 (0.996, 1.019)

0.232

  

Primary tumor site

(colon vs. rectum)

1.327 (0.851, 2.067)

0.212

  

T-stage of primary tumor (1–2 vs. 3–4)

1.266 (0.584, 2.746)

0.550

  

N-stage of primary tumor (0–1 vs. 2)

1.509 (0.935, 2.433)

0.092

  

Genetic mutation (no vs. yes)

1.356 (0.824, 2.231)

0.232

  

Treatment before surgery

(chemotherapy vs. with target therapy)

1.141 (0.751, 1.734)

0.536

  

Use RFA in surgery (no vs. yes)

1.473 (0.795, 2.731)

0.218

  

Chemotherapy after surgery

(no vs. yes)

0.597 (0.329, 1.084)

0.090

0.461 (0.244, 0.871)

0.017

With extrahepatic metastases

(no vs. yes)

0.783 (0.413, 1.483)

0.453

  

Preoperative CEA (ng/ml)

1.001 (1.000, 1.001)

0.015

1.001 (1.000, 1.001)

0.006

MH (yes vs. no)

2.269 (1.380, 3.732)

0.001

2.521 (1.484, 4.284)

0.001

  1. T-stage tumor-stage, N-stage node stage, RFA radiofrequency ablation, CEA carcinoembryonic antigen HR hazard ratio