Analysis of Risk Factors of Bleeding Complications in Percutaneous Needle Biopsy of Liver Occupying Lesions

Figures & data

Figure 1 CT-guided needle biopsy.

Figure 2 A small amount of bleeding under the capsule after ultrasound-guided needle biopsy.

Table 1 Single Factor Logistic Regression Predicts the Influence of Bleeding Risk Factors

Variable	OR value	95% Confidence Interval	P value
Gender	0.863	0.377–1.977	0.727
Age	0.976	0.946–1.006	0.110
Type of lesion:
Hepatocellular carcinoma	3.304	0.829–13.169	0.090
Cholangiocarcinoma	0.633	0.102–3.931	0.624
Metastatic cancer	0.699	0.189–2.585	0.591
Benign	0.368	0.056–2.420	0.298
Pathological results	0.555	0.098–3.144	0.506
Tumor size	1.054	0.957–1.159	0.285
Tumor location
Left lobe	0.778	0.216–2.805	0.701
Right lobe	0.607	0.215–1.717	0.347
Is it under the envelope	0.835	0.342–2.038	0.692
With or without cirrhosis	0.07	0.03–0.166	0.000
Guide way	1.877	0.694–5.073	0.215
Number of punctured tissues	0.64	0.429–0.956	0.029
Puncture depth	1.044	1.005–1.085	0.028
Preoperative platelets	0.998	0.993–1.002	0.276
Preoperative INR	25.658	2.259–291.63	0.009
Preoperative hemoglobin	0.992	0.976–1.008	0.304

Table 2 Multivariate Logistic Regression Analysis Analysis of Imaging Bleeding Complications

Factor	β Value	Wald χ^2 Value	P value	OR Value	95% Confidence Interval
Puncture depth	0.052	5.318	0.021	1.053	1.008–1.101
Number of punctured tissues	−0.363	2.723	0.099	0.695	0.452–1.071
With or without cirrhosis	−2.655	31.411	0.000	0.07	0.028–0.178
Preoperative INR	2.33	2.972	0.085	10.279	0.727–145.386

Figure 3 ROC curve of liver cirrhosis predicting bleeding complications.