Evidence map›Paper›PMID 25237459›Full record

ArticleKorean journal of urology2014

Pilot study of low-dose nonenhanced computed tomography with iterative reconstruction for diagnosis of urinary stones.

Sang Ho Park, Kyung Do Kim, Young Tae Moon, Soon Chul Myung, Tae Hyoung Kim, In Ho Chang, Jong Kyou Kwon

Open access · hybridAbstract read
In one paragraph

Article in Korean journal of urology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.6field-weighted citation impact, top 17% of its field
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

8 citing papers in PubMed, 18 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Sang Ho ParkDepartment of Urology, Chung-Ang University College of Medicine, Seoul, Korea.
Kyung Do KimDepartment of Urology, Chung-Ang University College of Medicine, Seoul, Korea.
Young Tae MoonDepartment of Urology, Chung-Ang University College of Medicine, Seoul, Korea.
Soon Chul MyungDepartment of Urology, Chung-Ang University College of Medicine, Seoul, Korea.
Tae Hyoung KimDepartment of Urology, Chung-Ang University College of Medicine, Seoul, Korea.
In Ho ChangDepartment of Urology, Chung-Ang University College of Medicine, Seoul, Korea.
Jong Kyou KwonDepartment of Urology, Severance Hospital, Urological Science Institute, Yonsei University College of Medicine, Seoul, Korea.
Chung-Ang University · KRSeverance Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo evaluate the efficacy of low-dose computed tomography (LDCT) for detecting urinary stones with the use of an iterative reconstruction technique for reducing radiation dose and image noise. MATERIALS AND

methodsA total of 101 stones from 69 patients who underwent both conventional nonenhanced computed tomography (CCT) and LDCT were analyzed. Interpretations were made of the two scans according to stone characteristics (size, volume, location, Hounsfield unit [HU], and skin-to-stone distance [SSD]) and radiation dose by dose-length product (DLP), effective dose (ED), and image noise. Diagnostic performance for detecting urinary stones was assessed by statistical evaluation.

resultsNo statistical differences were found in stone characteristics between the two scans. The average DLP and ED were 384.60 ± 132.15 mGy and 5.77 ± 1.98 mSv in CCT and 90.08 ± 31.80 mGy and 1.34 ± 0.48 mSv in LDCT, respectively. The dose reduction rate of LDCT was nearly 77% for both DLP and ED (p<0.01). The mean objective noise (standard deviation) from three different areas was 23.0 ± 2.5 in CCT and 29.2 ± 3.1 in LDCT with a significant difference (p<0.05); the slight increase was 21.2%. For stones located throughout the kidney and ureter, the sensitivity and specificity of LDCT remained 96.0% and 100%, with positive and negative predictive values of 100% and 96.2%, respectively.

conclusionsLDCT showed significant radiation reduction while maintaining high image quality. It is an attractive option in the diagnosis of urinary stones.

Indexed as

AdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedPilot ProjectsRadiation DosageRadiographic Image Interpretation, Computer-AssistedReproducibility of ResultsSensitivity and SpecificityTomography, X-Ray ComputedUrinary CalculiYoung AdultComputer-assisted image processingRadiationUrinary calculi

Identifiers

PMID25237459
PMCPMC4165920
OpenAlexW2122568587

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Registered trials

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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.