Evidence map›Paper›PMID 36763120›Full record

ArticleAbdominal radiology (New York)2023

Intravoxel incoherent motion diffusion-weighted MRI of renal parenchyma and its clinical significance in patients with untreated acute leukemia: a pilot study.

Jianting Li, Shengli Liu, Wenjin Bian, Ze Yuan, Jun Wang, Jinliang Niu

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Article in Abdominal radiology (New York), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 26% of its field
1 · What the graph read from it

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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.

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3 · Its place in the literature

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3 citing papers in PubMed, 4 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Jianting LiDepartment of Radiology, The Second Affiliated Hospital of Shanxi Medical University, 382 Wuyi Road, Taiyuan, 030001, Shanxi, China.
Shengli LiuDepartment of Medical Imaging, Shanxi Medical University, 56 Xinjian South Road, Taiyuan, 030001, Shanxi, China.
Wenjin BianDepartment of Medical Imaging, Shanxi Medical University, 56 Xinjian South Road, Taiyuan, 030001, Shanxi, China.
Ze YuanDepartment of Mathematics and Physics, Guangxi Minzu University, 188 University East Road, Nanning, 530006, Guangxi, China.
Jun WangDepartment of Radiology, The Second Affiliated Hospital of Shanxi Medical University, 382 Wuyi Road, Taiyuan, 030001, Shanxi, China.
Jinliang NiuDepartment of Radiology, The Second Affiliated Hospital of Shanxi Medical University, 382 Wuyi Road, Taiyuan, 030001, Shanxi, China. sxlscjy@163.com.ORCID http://orcid.org/0000-0002-4465-5477
Shanxi Medical University · CNMinzu University of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo evaluate quantitative parameters derived from intravoxel incoherent motion diffusion-weighted MRI (IVIM) of renal parenchyma in patients with untreated acute leukemia (AL) and analyze its prognostic significance and probable pathological mechanism.

methodsFrom March 2019 to November 2021, 67 newly diagnosed AL patients and 67 healthy controls matched in age and sex were recruited. All participants underwent IVIM in the kidneys, and D, D*, f, standard ADC values were measured. The differences of all parameters between AL and controls were analyzed. The relationship between imaging parameters and estimated glomerular filtration rate (eGFR) was studied. Univariable and multivariable analyses were performed to investigate prognostic significance of possible indicators.

resultsThe f and D value of renal medulla and D value of renal cortex in AL patients were lower than those in the healthy control group (t = - 2.173, t = - 3.463, t = - 2.030, respectively, all P < 0.05). The cortical f, cortical standard ADC, medullary f, and medullary standard ADC were correlated with the eGFR (r = 0.524, r = 0.401, r = 0.415, r = 0.325, respectively, all P < 0.05) in patients with AL. A medullary f value ≤ 9.51% (hazard ratio: 0.282; 95% confidence interval: 0.110, 0.719; P = 0.008) was associated with overall survival in a multivariable analysis.

conclusionThe f and standard ADC values in renal parenchyma were the probable imaging markers of renal function in patients with newly diagnosed de novo AL. Lower renal medullary f value was a potential independent predictor for overall survival.

Indexed as

Clinical RelevanceLeukemiaDiffusion Magnetic Resonance ImagingHumansKidneyPilot ProjectsAcute leukemiaEstimated glomerular filtration rateIntravoxel incoherent motionPrognostic significanceRenal parenchyma

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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.