Evidence map›Paper›PMID 36933126›Full record

ArticleUrolithiasis2023

Optimal dual-energy computed tomography scan parameters to detect small-sized urinary stones and their composition.

Jin-Woo Jung, Jun-Bong Shin, Hyo-Jun Choi, Seongyong Pak, Hyungjin Yang, Byung Il Yoon

Abstract read
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In one paragraph

Article in Urolithiasis, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 63% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

6 authors at 4 institutions in 1 country.

Jin-Woo Jung *Department of Urology, International St. Mary's Hospital, Catholic Kwandong University College of Medicine, 22711 Simgokro 100Gil 25 Seo-Gu, Incheon, South Korea.
Jun-Bong Shin *Department of Radiation Oncology, Kangwon National University Hospital, Chuncheon, South Korea.
Hyo-Jun ChoiDepartment of Diagnostic Radiology, International St. Mary's Hospital, Catholic Kwandong, Incheon, South Korea.
Seongyong PakSiemens Healthineers Ltd, Seoul, South Korea.
Hyungjin YangDepartment of Physics, Korea University Sejong Campus, Sejong, South Korea.
Byung Il YoonDepartment of Urology, International St. Mary's Hospital, Catholic Kwandong University College of Medicine, 22711 Simgokro 100Gil 25 Seo-Gu, Incheon, South Korea. yoonbi0948@catholic.ac.kr.
Catholic Kwandong University International St. Mary's Hospital · KRCatholic Kwandong University · KRKangwon National University Hospital · KRKorea University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To investigate the optimal scanning parameters of dual-energy computed tomography (DECT), which can accurately determine sensitivity (the detectability of urinary stones) and accuracy (the composition matching of urinary stones), and to apply them to clinical trials. Fifteen urinary stones were chemically analyzed, and their chemical compositions were considered a reference standard with which we compared the uric acid (UA) and non-UA compositions determined using DECT. The urinary stones were placed inside a bolus and scanned with a dual-source CT scanner under various selected dual-energy conditions (A to X) using various solid water phantom thicknesses. These datasets were analyzed using the Siemens syngo.via software tool (integrated into the CT system) for matching the sensitivity and accuracy assessments. This study showed that 80% of the highest sensitivity (detection of urinary stones) and 92% of the highest accuracy (composition matching of urinary stones) were achieved under condition A (a collimation beam width setting of 2 × 32 × 0.6 mm, an automatic exposure control setting of 80/sn140 peak kilovoltage, and a slice thickness of 0.5/0.5 mm) (P < 0.05). Application of the DECT energy parameters presented in the study will help identify the sensitivity and accuracy of UA and non-UA stone analysis, even in patients with small-sized urinary stones and in conditions difficult for analysis.

Indexed as

Body FluidsUrinary CalculiHumansPhantoms, ImagingTomography, X-Ray ComputedUric AcidUric AcidDual-energy computed tomographyNon-uric acidUric acidUrinary stone

Identifiers

PMID36933126
OpenAlexW4327811672

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.