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Objective: To investigate the relationship between prostate volume and postoperative stress urinary incontinence (SUI) in the elderly benign prostatic hyperplasia (BPH) patients following holmium laser enucleation of the prostate (HoLEP). Methods: A retrospective analysis was performed on clinical data of 110 elderly (age ≥ 60 years) BPH patients who underwent HoLEP in Grand Hospital of Jincheng in Shanxi between 2014 and 2018. In these patients, preoperative transrectal ultrasonography revealed that the prostate volume was 21-198(74.53 ± 31.26) ml. According to prostate volume, the patients were allocated to large prostate volume group (prostate volume ≥ 80 ml), intermediate prostate volume group (40 ml < prostate volume < 80 ml) and small prostate volume group (prostate volume ≤ 40 ml). All patients underwent the HoLEP, the incidence of postoperative SUI was compared among the three groups after withdrawal of stenting catheters. Results: After HoLEP, 74 patients were uneventful, while 36 patients experienced the postoperative SUI. No perpetual SUI patient was found after follow-up for 1 week to 6 months. The incidence of postoperative SUI after HoLEP was positively correlated with prostate volume (r=0.331, P < 0.05). The 36 elderly BPH patients with postoperative SUI accounted for 51.35%(19/37), 33.33% (12/36) and 13.51% (5/37), respectively in large, intermediate and small prostate volume groups, with statistically significant difference among three groups after Kruskal-Walls test (χ²= 11.930, P < 0.05). Conclusions The incidence of postoperative stress urinary incontinence after HoLEP of the prostate is positively correlated with prostate volume in the elderly BPH patients.

OBJECTIVE: To explore the application value of MAR algorithm in metal artifact removal of CT simulator. METHODS: CT phantom with titanium plate was scanned using conventional algorithms and MAR algorithms, respectively. Artifact index(AI), contrast-to-noise ratio(CNR) and AI values at different slices were used to analyze the artifact images. RESULTS: In artifact index, MAR algorithm (10.28±2.60) is significantly lower than conventional algorithm (20.65±5.04); In contrast-to-noise ratio index, MAR algorithm (7.81±1.12) is better than conventional algorithm (5.61±1.36). The above indicators were statistically significant in both algorithms (P<0.01). In the slices affected by metal artifacts, the artifact index decreased by 21.72%~88.40% after the MAR algorithm. CONCLUSIONS MAR algorithm can significantly reduce the metal artifacts and improve the clinical value of CT data.
Algorithms ; Artifacts ; Metals ; Phantoms, Imaging ; Titanium ; Tomography, X-Ray Computed