Evidence map›Paper›PMID 33495865›Full record

ArticleWorld journal of urology2021

Revolution spectral CT for urinary stone with a single/mixed composition in vivo: a large sample analysis.

Xian Li, Lu-Ping Wang, Li-Li Ou, Xiao-Yan Huang, Qing-Si Zeng, Wen-Qi Wu

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Article in World journal of urology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 38% 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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 10 citations in OpenAlex.

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4 · The record

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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 2 institutions in 1 country.

Xian LiThe Radiology Department of the First Affiliated Hospital of Guangzhou Medical University, Guangdong, Guangzhou, 51020, People's Republic of China.
Lu-Ping WangThe Urology Department of the First Affiliated Hospital of Guangzhou Medical University, Guangdong, Guangzhou, 51020, People's Republic of China.
Li-Li OuThe Guangdong Key Laboratory of Urology, the First Affiliated Hospital of Guangzhou Medical University, Minimally invasive Surgery center, Guangdong, Guangzhou, 51020, People's Republic of China.
Xiao-Yan HuangThe Radiology Department of the First Affiliated Hospital of Guangzhou Medical University, Guangdong, Guangzhou, 51020, People's Republic of China.
Qing-Si ZengThe Radiology Department of the First Affiliated Hospital of Guangzhou Medical University, Guangdong, Guangzhou, 51020, People's Republic of China. zengqingsi2020@163.com.
Wen-Qi WuThe Urology Department of the First Affiliated Hospital of Guangzhou Medical University, Guangdong, Guangzhou, 51020, People's Republic of China. wwqwml@163.com.
First Affiliated Hospital of Guangzhou Medical University · CNGuangzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo analyze various compositions of urinary stones using revolution spectral CT (rapid kV switching dual-energy CT) in vivo.

methods202 patients with urinary stones underwent spectral CT before surgery. Zeff peak, overall scope and CT values were detected. Moreover, water/iodine attenuating material images were obtained. Removed stones were subjected to infrared spectroscopy after surgery. The results of infrared spectroscopy were compared with CT.

results28 stones (14.08%) with single composition, 165 stones with two mixed compositions (81.68%), and 9 stones with three mixed compositions (4.46%) were observed. When Zeff peaks of stones with single/mixed compositions were summarized together, 146 peaks of calcium oxalate monohydrate, 119 peaks of calcium oxalate dihydrate, 55 peaks of carbapatite, 38 peaks of urate, 16 peaks of struvite, and 11 peaks of brushite were totally observed. 93.8% of calcium oxalate monohydrate had Zeff peaks between 13.3 and 14.0. 91.6% of calcium oxalate dihydrate had peaks between 12.0 and 13.3. For carbapatite, 90.9% of stones had peaks from 14.0 to 15.0. A total of 94.8% of urate had peaks between 7.0 and 11.0. 93.8% of struvite had peaks between 11.0 and 13.0, and 90.9% of brushite had peaks between 12.0 and 14.0. Moreover, densities of urate, struvite and brushite were low density in iodine-based images and high-density in water-based images.

conclusionThe in-vivo analysis of spectral CT in urinary stone revealed characteristics of different compositions, especially mixed compositions. An in-vivo predictive model may be constructed to distinguish stone compositions.

Indexed as

Tomography, X-Ray ComputedAdolescentAdultAgedAged, 80 and overChildFemaleHumansMaleMiddle AgedRetrospective StudiesUrinary CalculiYoung AdultCompositionComputerized tomographyDual energyIn vivoUrinary stone

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PMID33495865
OpenAlexW3123034430

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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.