Evidence map›Paper›PMID 41888717›Full record

ArticleBMC medical imaging2026

Diagnostic performance of mDIXON-Quant imaging in assessing glomerulosclerosis severity for chronic kidney disease: a comparative study of R2* and fat fraction parameters.

Wenhui Wang, Renna Luo, Ye Ju, Qingchen Hu, Qianyu Zhang, Hanyue Zhang, Nan Wang, Qingwei Song, Liangjie Lin, Jiazheng Wang and 1 more

Abstract readComparative Study
PubMed Full text at PMC Publisher
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Article in BMC medical imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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11 authors.

Wenhui Wang *Department of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, 116000, China.
Renna Luo *Department of Nephrology, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, 116000, China.
Ye JuDepartment of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, 116000, China.
Qingchen HuDepartment of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, 116000, China.
Qianyu ZhangDepartment of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, 116000, China.
Hanyue ZhangDepartment of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, 116000, China.
Nan WangDepartment of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, 116000, China.
Qingwei SongDepartment of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, 116000, China.
Liangjie LinPhilips Healthcare, Beijing, China.
Jiazheng WangPhilips Healthcare, Beijing, China.
Ailian LiuDepartment of Radiology, The First Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, 116000, China. liuailian@dmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo compare two region-of-interest (ROI) measurement methods based on mDIXON-Quant for distinguishing healthy volunteers (HV), chronic kidney disease (CKD) patients with low (≤ 15%) and high (> 15%) glomerulosclerosis (GS), and establish a non-invasive auxiliary protocol.

methodsA total of 42 CKD patients and 25 HV underwent mDIXON-Quant MRI. CKD patients were stratified into low (n = 24) and high (n = 18) GS groups via renal biopsy. Two ROI methods were applied: Method 1 (cortex/medulla separation, 15-20 mm² circular ROIs at renal hilum, upper/lower poles) and Method 2 (whole-kidney contour tracing). R2* and fat fraction (FF) parameters were analyzed using ANOVA, LSD tests, and DeLong tests for diagnostic efficacy (AUC).

resultsR2* parameters (RcR2*, RR2*) showed significant differences across groups (P < 0.05), increasing with GS severity. LcR2* and RmR2* distinguished HV from high GS (P < 0.05), while LFF differentiated low vs. high GS (P < 0.05). Combining FF with R2* improved AUC from 0.685 to 0.877 (P < 0.05) for low/high GS discrimination. Method 1's RcR2* (AUC = 0.957) and Method 2's RR2* (AUC = 0.9) were most accurate for distinguishing high GS from HV, with no significant difference between them (P > 0.05). RcR2* outperformed medullary parameters (P < 0.05).

conclusionThe present study demonstrates that employing the Method 2(whole-kidney contour tracing) based on mDIXON-Quant technology enables auxiliary quantitative assessment of the severity of GS via the R2 parameter of the right kidney, thereby confirming its role as an adjunctive tool in GS evaluation.

Indexed as

Magnetic Resonance ImagingRenal Insufficiency, ChronicAdipose TissueAdultAgedFemaleHumansKidneyMaleMiddle AgedSensitivity and SpecificitySeverity of Illness IndexChronic kidney diseaseFat fractionGlomerulosclerosismDIXON-QuantR2*

Identifiers

PMID41888717
PMCPMC13543512

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