Analysis of Intravenous Urography Findings in a Tertiary Reference Center

Artificial Intelligence Algorithm-Based Computed Tomography Image of Both Kidneys in Diagnosis of Renal Dysplasia

The objective of this study was to explore the accuracy of low-dosage computed tomography (CT) images based on the expectation maximization algorithm denoising algorithm (EM algorithm) in the detection and diagnosis of renal dysplasia, so as to provide reasonable research basis for accuracy improvement of clinical diagnosis of renal dysplasia. 120 patients with renal dysplasia in hospital were randomly selected as the research objects, and they were divided into two groups by random number method, with 60 patients in each group. The low-dosage CT images of patients in the control group were not processed (nonalgorithm group), and the low-dosage CT images of patients in the observation group were denoised using the EM algorithm (algorithm group). In addition, it was compared with the results of the comprehensive diagnosis (gold standard) to analyze the accuracy of the diagnosis of the two groups of patients and the consistency with the results of the pathological diagnosis. The results were compared with those of the comprehensive diagnosis (gold standard) to analyze the accuracy of the diagnosis of the two groups of patients. The results showed that the peak signal-to-noise ratio (PSNR) (15.9 dB) of the EM algorithm was higher than the regularized adaptive matching pursuit (RAMP) algorithm (1.69 dB) and the mean filter (4.3 dB) (P < 0.05). The time consumption of EM algorithm (21 s) was shorter than that of PWLS algorithm (34 s) and MS-PWLS algorithm (39 s) (P < 0.05). The diagnosis accuracy of dysplasia of single kidney, absence of single kidney, horseshoe kidney, and duplex kidney was obviously higher in the algorithm group than the control group (P < 0.05), which were 66.67% vs. 90%, 60% vs. 88.89%, 71.42% vs. 100%, and 60% vs. 88.89%, respectively. The incidence of hypertension in patients with autosomal dominant polycystic kidney disease (ADPKD) (56.77%) was much higher than that of the other diseases (P < 0.05). After denoising by the EM algorithm, low-dosage CT image could improve the diagnostic accuracy of several types of renal dysplasia except ADPKD, showing certain clinical application value. In addition, ADPKD was easy to cause hypertension.

Efficacy of ureterocalicostomy in treating secondary long-segment upper ureteral stricture

OBJECTIVE

To evaluate the efficacy and safety of ureterocalicostomy for long-segment upper ureteral stricture.

METHODS

A total of 13 patients underwent ureterocalicostomy for long-segment upper ureteral stricture, and a long-term follow-up was carried out to observe postoperative results, complications and renal function at 6 months after surgery.

RESULTS

Among the 13 patients undergoing ureterocalicostomy, 12 achieved successful results with surgery. Nine of the 12 received open surgery and 3 patients received laparoscopic surgery. During the perioperative period, 3 patients developed fever while 2 patients had hematuria and irritation in lower urinary tract, and all improved after symptomatic treatment. The 12 patients with successful surgeries achieved remission of hydronephrosis without anastomotic stricture. At 6 months after surgery, the 12 patients had significantly decreased serum creatinine and cystatin C levels and markedly increased estimated glomerular filtration rate, as compared with those before surgery (P<0.05).

CONCLUSION

Ureterocalicostomy is an effective, safe, optional treatment strategy for secondary long-segment upper ureteral stricture.

Zeolites for theranostic applications

Theranostic platforms bring about a revolution in disease management. During recent years, theranostic nanoparticles have been utilized for imaging and therapy simultaneously. Zeolites, because of their porous structure and tunable properties, which can be modified with various materials, can be used as a delivery agent. The porous structure of a zeolite enables it to be loaded and unloaded with various molecules such as therapeutic agents, photosensitizers, biological macromolecules, MRI contrast agents, radiopharmaceuticals, near-infrared (NIR) fluorophores, and microbubbles. Furthermore, theranostic zeolite nanocarriers can be further modified with targeting ligands, which is highly interesting for targeted cancer therapies.