Evidence map›Paper›PMID 40525444›Full record

ArticleCurrent medical imaging2025

The Composition Analysis of Renal Staghorn Calculi and their Characteristics using Spectral CT

Xian Li, Qiao Zou, Lili Ou, Lilan Chen, Jingming Wang, Xinchun Li

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Article in Current medical imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Xian LiThe Department of Radiology, the First Affiliated Hospital of Guangzhou Medical University, Guangdong, Guangzhou, People's Republic of China.
Qiao ZouThe Department of Radiology, the First Affiliated Hospital of Guangzhou Medical University, Guangdong, Guangzhou, People's Republic of China.
Lili OuThe Guangdong Key Laboratory of Urology, the First Affiliated Hospital of Guangzhou Medical University, Minimally Invasive Surgery Center, Guangdong, Guangzhou 510120, People's Republic of China.
Lilan ChenThe Department of Radiology, Zhuhai People's Hospital, Zhuhai Hospital Affiliated of Jinan University, Zhuhai, People's Republic of China.
Jingming WangThe Department of Radiology, Zhuhai People's Hospital, Zhuhai Hospital Affiliated of Jinan University, Zhuhai, People's Republic of China.
Xinchun LiThe Department of Radiology, the First Affiliated Hospital of Guangzhou Medical University, Guangdong, Guangzhou, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to analyze the composition of renal staghorn calculi and their characteristics using spectral CT.

methodsThis study enrolled 111 cases of renal staghorn calculi from 94 patients (48 males and 46 females, aged 28-76 years; median age: 56 years). Using spectral CT, average Zeff and CT values were analyzed. The water/iodine-based images were generated by the material separation module. All stones were detected by FTIR spectroscopy.

results111 cases of renal staghorn calculi included 53 cases of single composition (47.8%) and 58 cases of mixed composition (52.2%). In staghorn calculi of a single composition, urate (23 cases) and calcium oxalate monohydrate (16 cases) were more prevalent than struvite (5 cases) and brushite (5 cases). Mixed compositions included metabolic-metabolic (36 cases, 62.1%), metabolic-infectious (14 cases, 24.1%), and infectiousinfectious (8 cases, 13.8%) cases, respectively. The average Zeff values showed some characteristics of carbapatite and urate. However, average Zeff and CT values had many overlappings among other compositions. All stones appeared homogeneous in water-based images. In iodine-based images, calcium oxalate monohydrate displayed homogeneous high density, but struvite and brushite showed heterogeneous high density. Single compositions of carbapatite, calcium oxalate monohydrate, and cystine exhibited homogeneous high density, similar to mixed compositions of carbapatite and calcium oxalate monohydrate. Furthermore, urate demonstrated homogeneous low density. Moreover, the mixture of struvite and brushite/urate showed heterogeneous high density.

conclusionIn staghorn calculi of a single composition, the metabolic type was common, while metabolic-metabolic and metabolic-infectious types frequently occurred in staghorn calculi with mixed compositions. Except for average Zeff values, water-iodine material separation performed an important auxiliary function in differentiating stones' compositions using spectral CT.

Indexed as

Staghorn CalculiTomography, X-Ray ComputedAdultAgedCalcium OxalateFemaleHumansMaleMiddle AgedSpectroscopy, Fourier Transform InfraredStruviteUric AcidCalcium OxalateStruviteUric AcidCompositionComputed tomographyDual energyIn vivoKidneySpectroscopy.Staghorn calculiZeff values

Identifiers

PMID40525444
PMCPMC13223438

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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.