Evidence map›Paper›PMID 31268643›Full record

ArticleInternational braz j urol : official journal of the Brazilian Society of Urology

Computed tomography window affects kidney stones measurements.

Alexandre Danilovic, Bruno Aragão Rocha, Giovanni Scala Marchini, Olivier Traxer, Carlos Batagello, Fabio Carvalho Vicentini, Fábio César Miranda Torricelli, Miguel Srougi, William Carlos Nahas, Eduardo Mazzucchi

Abstract readComparative Study
In one paragraph

Article in International braz j urol : official journal of the Brazilian Society of Urology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Article
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  10. Observational
  11. High-risk patients for septic shock after percutaneous nephrolithotomy.International braz j urol : official journal of the Brazilian Society of Urology
    Article
  12. Does previous standard percutaneous nephrolithotomy impair retrograde intrarenal surgery outcomes?International braz j urol : official journal of the Brazilian Society of Urology
    Article
  13. Long-term Follow-up of Patients Undergoing Nephrectomy for Urolithiasis.International braz j urol : official journal of the Brazilian Society of Urology
    Article
  14. Deep learning is a promising technology and seems to be the future of the CT stone evaluation.International braz j urol : official journal of the Brazilian Society of Urology
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Alexandre DanilovicDepartamento de Urologia do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, SP, Brasil.
Bruno Aragão RochaDepartamento de Radiologia do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, SP, Brasil.
Giovanni Scala MarchiniDepartamento de Urologia do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, SP, Brasil.
Olivier TraxerSorbonne Université, GRC n 20 Lithiase Renale, AP-HP, Hôpital Tenon, F-75020 Paris, France. University, Paris, France.
Carlos BatagelloDepartamento de Urologia do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, SP, Brasil.
Fabio Carvalho VicentiniDepartamento de Urologia do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, SP, Brasil.
Fábio César Miranda TorricelliDepartamento de Urologia do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, SP, Brasil.
Miguel SrougiDepartamento de Urologia do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, SP, Brasil.
William Carlos NahasDepartamento de Urologia do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, SP, Brasil.
Eduardo MazzucchiDepartamento de Urologia do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, SP, Brasil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesMeasurements of stone features may vary according to the non-contrast computed tomography (NCCT) technique. Using magnified bone window is the most accurate method to measure urinary stones. Possible differences between stone measurements in different NCCT windows have not been evaluated in stones located in the kidney. The aim of this study is to compare measurements of kidney stone features between NCCT bone and soft tissue windows in patients submitted to retrograde intrarenal surgery (RIRS). MATERIALS AND

methodsPreoperative and 90th postoperative day NCCT were performed in 92 consecutive symptomatic adult patients (115 renal units) with kidney stones between 5 mm to 20 mm (< 15 mm in the lower calyx) treated by RIRS. NCCT were evaluated in the magnified bone window and soft tissue window in three axes in a different time by a single radiologist blinded for the measurements of the NCCT other method.

resultsStone largest size (7.92±3.81 vs. 9.13±4.08; mm), volume (435.5±472.7 vs. 683.1±665.0; mm3) and density (989.4±330.2 vs. 893.0±324.6; HU) differed between bone and soft-tissue windows, respectively (p<0.0001) 5.2% of the renal units (6/115) were reclassified from residual fragments > 2 mm on soft tissue window to 0-2 mm on bone window.

conclusionKidney stone measurements vary according to NCCT window. Measurements in soft tissue window NCCT of stone diameter and volume are larger and stone density is lesser than in bone window. These differences may have impact on clinical decisions.

Indexed as

AdultHumansKidney CalculiPostoperative PeriodPreoperative PeriodProspective StudiesReference ValuesStatistics, NonparametricTime FactorsTomography, X-Ray ComputedTreatment OutcomeKidney CalculiNephrolithiasisPatient Outcome Assessment

Identifiers

PMID31268643
PMCPMC6844354

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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.