ArticleCanadian Urological Association journal = Journal de l'Association des urologues du Canada2021
Utility of stone volume estimated by software algorithm in predicting success of medical expulsive therapy.
Article in Canadian Urological Association journal = Journal de l'Association des urologues du Canada, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
3 citing papers in PubMed.
- Relationship between stone volume, average CT value and operation time and efficiency before ureteral soft lens laser lithotripsy.Technology and health care : official journal of the European Society for Engineering and Medicine · 2024Article
- Does volume matter? Incorporating estimated stone volume in a nomogram to predict ureteral stone passage.Canadian Urological Association journal = Journal de l'Association des urologues du Canada · 2022Article
- Alpha-Blocker Prescribing Trends for Ureteral Stones: A Single-Centre Study.Research and reports in urology · 2022Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionWe sought to assess the accuracy of using stone volume (SV) estimated with a software algorithm as a predictor for stone passage in a trial of medical expulsive therapy (MET).
methodsWe identified patients with ureteral stones discharged from the emergency department on MET. Patients with infection, non-ureteral stones, or needing immediate surgical intervention were excluded. For each stone, longest dimension (LD) was recorded, and SV was estimated by a computed tomography (CT)-based region-growing (RG) algorithm and standard ellipsoid formula (EF). Stone passage within 30 days was assessed via electronic chart and followup phone call.
resultsFifty-one patients were included for analysis (53±16.7 years, 24% female). The mean LD was 4.85±2.02 mm. The mean SV was similar by EF and RG (0.051±0.057cm
conclusionsThe clinical utility of SV estimated by software algorithm as a predictor for success of MET has not previously been examined. We demonstrated that spontaneously passed stones had a significantly smaller volume than those requiring intervention. Further prospective studies are needed to validate these findings and establish volume thresholds for probability of stone passage.
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Registered trials
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