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Size matters : The width and location of a ureteral stone accurately predict the chance of spontaneous passage

Jendeberg, Johan, 1972- (author)
Örebro universitet,Institutionen för medicinska vetenskaper,Department of Radiology
Geijer, Håkan, 1961- (author)
Örebro universitet,Institutionen för medicinska vetenskaper,Department of Radiology
Alshamari, Muhammed, 1975- (author)
Örebro universitet,Institutionen för medicinska vetenskaper,Region Örebro län,Department of Radiology
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Cierzniak, Bartosz (author)
Department of Surgery, Faculty of Medicine and Health, Örebro University, Örebro, Sweden
Lidén, Mats, 1976- (author)
Örebro universitet,Institutionen för medicinska vetenskaper,Department of Radiology
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 (creator_code:org_t)
2017-06-07
2017
English.
In: European Radiology. - : Springer. - 0938-7994 .- 1432-1084. ; 27:11, s. 4775-4785
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • OBJECTIVES: To determine how to most accurately predict the chance of spontaneous passage of a ureteral stone using information in the diagnostic non-enhanced computed tomography (NECT) and to create predictive models with smaller stone size intervals than previously possible.METHODS: Retrospectively 392 consecutive patients with ureteric stone on NECT were included. Three radiologists independently measured the stone size. Stone location, side, hydronephrosis, CRP, medical expulsion therapy (MET) and all follow-up radiology until stone expulsion or 26 weeks were recorded. Logistic regressions were performed with spontaneous stone passage in 4 weeks and 20 weeks as the dependent variable.RESULTS: The spontaneous passage rate in 20 weeks was 312 out of 392 stones, 98% in 0-2 mm, 98% in 3 mm, 81% in 4 mm, 65% in 5 mm, 33% in 6 mm and 9% in ≥6.5 mm wide stones. The stone size and location predicted spontaneous ureteric stone passage. The side and the grade of hydronephrosis only predicted stone passage in specific subgroups.CONCLUSION: Spontaneous passage of a ureteral stone can be predicted with high accuracy with the information available in the NECT. We present a prediction method based on stone size and location.KEY POINTS: • Non-enhanced computed tomography can predict the outcome of ureteral stones. • Stone size and location are the most important predictors of spontaneous passage. • Prediction models based on stone width or length and stone location are introduced. • The observed passage rates for stone size in mm-intervals are reported. • Clinicians can make better decisions about treatment.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Radiologi och bildbehandling (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Radiology, Nuclear Medicine and Medical Imaging (hsv//eng)

Keyword

Spiral computed tomography; Ureteral calculi; Kidney stone; Ureter; Renal colic

Publication and Content Type

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