ArticleUrology2015
Quantification of asymptomatic kidney stone burden by computed tomography for predicting future symptomatic stone events.
Article in Urology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 2 of them syntheses that pooled it.
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Who cites it
30 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Evaluating the natural history of incidentally recognized clinically silent nephrolithiasis in healthy adults: an updated systematic review with meta-analysis.Urolithiasis · 2025Pooled it
- Pooled it
- Accuracy and precision of automated kidney stone detection on CT.Abdominal radiology (New York) · 2026Article
- From conventional imaging software to artificial intelligence: tools for stone volume assessment in urolithiasis. Α review by the EAU and YAU sections of endourology.World journal of urology · 2026Review
- Pre-operatively predicting kidney stone recurrence: integrating radiomic features and clinical variables using machine learning.BMC medical imaging · 2025Article
- Article
- Longitudinal follow-up of incidental renal calculi on computed tomography.Abdominal radiology (New York) · 2024Article
- Clinical Reproducibility of the Stone Volume Measurement: A "Kidney Stone Calculator" Study.Journal of clinical medicine · 2023Article
- Renal colic imaging: Are we Choosing Wisely?Canadian Urological Association journal = Journal de l'Association des urologues du Canada · 2023Article
- Maternal family history of urolithiasis is associated with earlier age of onset of stone disease.World journal of urology · 2023Article
- Article
- Radiomics in Urolithiasis: Systematic Review of Current Applications, Limitations, and Future Directions.Journal of clinical medicine · 2022Review
- A deep learning system for automated kidney stone detection and volumetric segmentation on noncontrast CT scans.Medical physics · 2022Article
- Outcomes and rates of dissolution therapy for uric acid stones.Journal of nephrology · 2022Article
- Development and validation of a nomogram for risk prediction of nephrolithiasis recurrence in patients with primary hyperparathyroidism.Frontiers in endocrinology · 2022Article
- Subsequent urinary stone events are predicted by the magnitude of urinary oxalate excretion in enteric hyperoxaluria.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2021Article
- Automatic Detection and Scoring of Kidney Stones on Noncontrast CT Images Using S.T.O.N.E. Nephrolithometry: Combined Deep Learning and Thresholding Methods.Molecular imaging and biology · 2021Article
- Prediction of burden and management of renal calculi from whole kidney radiomics: a multicenter study.Abdominal radiology (New York) · 2021Article
- Determining the true burden of kidney stone disease.Nature reviews. Nephrology · 2020Review
- Symptomatic and Radiographic Manifestations of Kidney Stone Recurrence and Their Prediction by Risk Factors: A Prospective Cohort Study.Journal of the American Society of Nephrology : JASN · 2019Article
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Funding
Abstract
objectiveTo find the optimal characterization of asymptomatic radiographic stone burden on computed tomography (CT) scans.
methodsA survey was sent to stone formers who underwent a CT scan while asymptomatic during a stone clinic evaluation. Symptomatic stone passage events after CT scan were detected by survey and medical record review. Radiographic stone burden was quantified by number of stones, largest stone diameter, automated total stone volume (TSV), and bilateral stones and then compared as predictors of stone events.
resultsThere were 550 stone formers; 43% had a stone event for a median of 4.7 years after the CT scan. Stone burden by quartiles was 0-1, 2-3, 4-6, and ≥7 for number of stones; 0-2, 3-4, 5-7, and ≥8 mm for largest stone diameter; and 0-8, 9-78, 79-280, and ≥281 mm(3) for TSV; 48% had bilateral stones. The hazard ratios (HRs) for symptomatic event was 1.30 (P <.001) for the number of stones per quartile, 1.26 (P <.001) for largest stone diameter per quartile, 1.38 (P <.001) for TSV per quartile, and 1.80 (P <.001) for bilateral stones. On multivariate analysis, only TSV was an independent predictor of symptomatic events (HR, 1.35 per quartile; P = .01). This risk of events with TSV was also independent of demographics, urine chemistries, and stone composition. Among the 53 patients with interim events between CT scans, a rapid increase in TSV between CT scans (>570 mm(3) per year) predicted subsequent events (HR, 2.8; P = .05).
conclusionAutomated TSV is more predictive of symptomatic events than manual methods for quantifying stone burden on CT scan.
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