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. 2022 Feb 28:2022:2214583.
doi: 10.1155/2022/2214583. eCollection 2022.

Artificial Intelligence Algorithm-Based Computed Tomography Image in Assessment of Acute Renal Insufficiency of Patients Undergoing Percutaneous Coronary Intervention

Xiuming Zhang  1 , Tao Liu  1 , Chunhua Tian  1
Affiliations

Artificial Intelligence Algorithm-Based Computed Tomography Image in Assessment of Acute Renal Insufficiency of Patients Undergoing Percutaneous Coronary Intervention

Xiuming Zhang et al. Contrast Media Mol Imaging. .

Abstract

This study was aimed to analyze the changes in renal function of patients undergoing percutaneous coronary intervention (PCI) surgery and the characteristics of their computed tomography (CT) image based on artificial intelligence algorithms. In this study, 104 patients with coronary atherosclerotic heart disease (CAHD) were treated as the research objects. They were divided into an experimental group (patients who underwent CAG and PCI within 1 week after enhanced coronary CT (ECCT)) and the control group (patients who underwent CAG and PCI within 1-3 weeks after ECCT). Renal imaging scans of patients were performed by CT based on discrete inseparable shear transform (DNST) optimized algorithm, which was named as O-DNST. The results showed that the serum creatinine (Scr), blood urea nitrogen (BUN), and urine protein (UP) levels of patients in the experimental group were significantly higher than those of the control group 24-72 hours after surgery, while the levels of endogenous creatinine clearance (Ccr) and estimated glomerular filtration rate (eGFR) were significantly lower than those of the control group (P < 0.05). The levels of β2 microglobulin (β2-MG), C-reactive protein (CRP), interleukin 6 (IL-6), and tumor necrosis factor (TNF-α) in the experimental group were significantly higher than those in the control group 24-72 hours after surgery (P < 0.05). The incidence of contrast-induced nephropathy (CIN) in the experimental group (15.38%) was significantly higher than that in the control group (5.8%), and the difference was statistically significant (P < 0.05). The results showed that repeated application of contrast agent in a short period of time can promote the increase of serum inflammation levels in PCI patients, which may be a risk factor for CIN in PCI patients.

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Conflict of interest statement

The authors declare no conflicts of interest.

Figures

Figure 1
Figure 1
Improved image denoising algorithm process based on DNST.
Figure 2
Figure 2
Comparison of gender, age, height, and weight of the two groups of patients. (a) compared the ratio of men to women; and (b) compared the age, height, and weight.
Figure 3
Figure 3
Comparison of diabetes, hypertension, hyperlipidemia, mild anemia, contrast agent dosage, and Mehran score between the two groups. (a) showed the comparison on diabetes, hypertension, hyperlipidemia, and mild anemia; and (b) illustrated the comparison on contrast agent dose and Mehran score.
Figure 4
Figure 4
CT image of a patient's kidney (male, 51 years old). The left image was the CT plain scan result, and the right image was the CT enhanced result.
Figure 5
Figure 5
CT image of a patient's kidney (female, 50 years old). The left image was the CT plain scan result, and the right image was the CT enhanced result.
Figure 6
Figure 6
Comparison of image quality evaluation indicators of DSST, WT, DNST, and O-DNST algorithms. ∗Significant difference compared with the O-DNST algorithm (P < 0.05).
Figure 7
Figure 7
Comparison of image processing effects of DSST, WT, DNST, and O-DNST algorithms. (a) showed the image of CT plain scan; and (b–e) were images processed by DSST, WT, DNST, and O-DNST algorithms, respectively.
Figure 8
Figure 8
Comparison of renal function indicators between the two groups of patients (0–72 referred to “before surgery”, 24 hours, 48 hours, and 72 hours after surgery, respectively). A ∼ E showed the comparisons of Scr, BUN, Ccr, eGFR, and UP, respectively. ∗Significant difference compared with the experimental group (P < 0.05).
Figure 9
Figure 9
Comparison of levels of inflammatory factors between the two groups of patients (0–72 referred to “before surgery”, 24 hours, 48 hours, and 72 hours after surgery, respectively). A ∼ D showed the comparisons of β2-MG, CRP, IL-6, and TNF-α, respectively. ∗Significant difference compared with the experimental group (P < 0.05).
Figure 10
Figure 10
Comparison of incidence of CIN between the two groups. ∗Significant difference compared with the experimental group (P < 0.05).
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