ArticleBeijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences2020
[Robot-assisted laparoscopic upper urinary tract reconstruction surgery: A review of 108 cases by a single surgeon].
Article in Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed, 1 citations in OpenAlex.
- [Surgical techniques and clinical outcomes of upper urinary tract reconstruction for stone-related ureteral strictures].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2025Article
- Clinical Application of Spiral CT Reconstruction Imaging in Patients with Tracheal Stenosis before Anesthesia.Contrast media & molecular imaging · 2022Article
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15 authors at 4 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
objectiveTo summarize the experiences and outcomes of 108 robot-assisted laparoscopic upper urinary tract reconstruction surgeries conducted by a single surgeon.
methodsWe consecutively and retrospectively reviewed 108 patients who underwent robot-assisted laparoscopic upper urinary tract reconstruction surgeries by a single surgeon from November 2018 to January 2020. The patient demographics, perioperative variables, postoperative complications and follow-up data were recorded. Fifty-three modified dismembered pyeloplasties (MDP), 11 spiral flap pyeloplasties (SFP), 11 ure-teroureterostomies (UUT), 4 lingual mucosal onlay graft ureteroplasties (LMU), 5 appendiceal onlay flap ureteroplasties (AU), 11 ureteral reimplantations (UR), 6 Boari flap-Psoas hitch surgeries (BPS) and 7 ileal ureter replacements (IUR) were enrolled finally. The success was defined as the improvement in subjective pain levels, and the improvement in the degree of hydronephrosis at ultrasound.
resultsAll the surgeries were successfully completed without open or laparoscopic conversion. The median operative time was 141 min (range: 74-368 min), median blood loss was 20 mL (range: 10-350 mL) and median hospital stay was 4 d (range: 3-19 d) in MDP group, with the success rate of 94.3%. The median operative time was 159 min (range: 110-222 min), median blood loss was 50 mL (range: 20-150 mL) and median hospital stay was 5 d (range: 3-8 d) in SFP group, with the success rate of 100%. The median operative time was 126 min (range: 76-160 d), median blood loss was 20 mL (range: 10-50 mL) and median hospital stay was 5 d (range: 4-9 d) in UUT group, with the success rate of 100%. The median operative time was 204 min (range: 154-250 min), median blood loss was 30 mL (range: 10-100 mL) and median hospital stay was 6 d (range: 4-7 d) in LMU group, with the success rate of 100%. The median operative time was 164 min (range: 135-211 min), median blood loss was 75 mL (range: 50-200 mL) and median hospital stay was 8.5 d (range: 6-12 d) in AU group, with the success rate of 100%. The median operative time was 149 min (range: 100-218 min), median blood loss was 20 mL (range: 10-50 mL) and median hospital stay was 7 d (range: 5-10 d) in UR group, with the success rate of 90.9%. The median operative time was 166 min (range: 137-205 min), median blood loss was 45 mL (range: 20-100 mL) and median hospital stay was 5 d (range: 4-41 d) in BPS group, with the success rate of 83.3%. The median operative time was 270 min (range: 227-335 min), median blood loss was 100 mL (range: 10-100 mL) and median hospital stay was 7 d (range: 5-26 d) in IUR group, with the success rate of 85.7%.
conclusionsThe surgeon performed and modified numerous complicated upper urinary tract reconstruction surgeries by the robotic platform, which facilitated the development of the standardized upper urinary tract reconstruction surgical technique.
Indexed as
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32773817PMC7433635W3049147828What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.