Evidence map›Paper›PMID 30655055›Full record

ArticleAcademic radiology2019

Renal Adiposity Does not Preclude Quantitative Assessment of Renal Function Using Dual-Energy Multidetector CT in Mildly Obese Human Subjects.

Christopher M Ferguson, Alfonso Eirin, Gregory J Michalak, Ahmad F Hedayat, Abdelrhman M Abumoawad, Ahmed Saad, Xiangyang Zhu, Stephen C Textor, Cynthia H McCollough, Lilach O Lerman

Open access · hybridAbstract read
In one paragraph

Article in Academic radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 39% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

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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

10 authors at 1 institution in 1 country.

Christopher M FergusonDivision of Nephrology and Hypertension, Mayo Clinic, 200 First St SW, Rochester, MN.
Alfonso EirinDivision of Nephrology and Hypertension, Mayo Clinic, 200 First St SW, Rochester, MN.
Gregory J MichalakDepartment of Radiology, Mayo Clinic, Rochester, Minnesota.
Ahmad F HedayatDivision of Nephrology and Hypertension, Mayo Clinic, 200 First St SW, Rochester, MN.
Abdelrhman M AbumoawadDivision of Nephrology and Hypertension, Mayo Clinic, 200 First St SW, Rochester, MN.
Ahmed SaadDivision of Nephrology and Hypertension, Mayo Clinic, 200 First St SW, Rochester, MN.
Xiangyang ZhuDivision of Nephrology and Hypertension, Mayo Clinic, 200 First St SW, Rochester, MN.
Stephen C TextorDivision of Nephrology and Hypertension, Mayo Clinic, 200 First St SW, Rochester, MN.
Cynthia H McColloughDepartment of Radiology, Mayo Clinic, Rochester, Minnesota.
Lilach O LermanDivision of Nephrology and Hypertension, Mayo Clinic, 200 First St SW, Rochester, MN. Electronic address: lerman.lilach@mayo.edu.
Mayo Clinic · US

Funding

Ultrasound Shockwave Therapy for Post-Stenotic Microvascular RemodelingR01HL123160 · NHLBI · MAYO CLINIC ROCHESTER · PI LERMAN, AMIR, LERMAN, LILACH O · 2015 to 2018
$3.0M
Hypoxia and inflammatory injury in human renovascular hypertensionR01DK100081 · NIDDK · MAYO CLINIC ROCHESTER · PI LERMAN, LILACH O, TEXTOR, STEPHEN C · 2014 to 2018
$2.8M
MSC-derived microvesicles in metabolic syndrome and renovascular diseaseR01DK102325 · NIDDK · MAYO CLINIC ROCHESTER · PI LERMAN, LILACH O · 2015 to 2018
$2.8M
Obesity-induced mesenchymal stem cell senescenceR01DK120292 · NIDDK · MAYO CLINIC ROCHESTER · PI LERMAN, LILACH O · 2019 to 2022
$2.6M
EXTRAMURAL RES FACIL IMPROVEMENT PROG: POLYCYSTIC KIDNEY DISEASE, RENAL STUDIES,C06RR018898 · NCRR · MAYO CLINIC · PI BURNETT, JOHN C · 2004 to 2004
$2.3M
Noninvasive assessment of renal fibrosis using magnetization transfer MRIU01DK104273 · NIDDK · MAYO CLINIC ROCHESTER · PI LERMAN, LILACH O · 2014 to 2018
$1.8M
NCRR NIH HHS C06 RR018898NHLBI NIH HHS R01 HL123160NIDDK NIH HHS R01 DK100081NIDDK NIH HHS R01 DK102325NIDDK NIH HHS R01 DK120292NIDDK NIH HHS U01 DK104273
6 · The paper itself

Abstract

RATIONALE AND

objectivesMultidetector computed tomography (MDCT) is useful for measuring in the research setting single-kidney perfusion and function using iodinated contrast time-attenuation curves. Obesity promotes deposition of intrarenal fat, which might decrease tissue attenuation and thereby interfere with quantification of renal function using MDCT. The purpose of this study was to test the hypothesis that background subtraction adequately accounts for intrarenal fat deposition in mildly obese human subjects during renal contrast enhanced dynamic CT. MATERIALS AND

methodsWe prospectively recruited seventeen human subjects stratified as lean or mildly obese based on body mass index below or over 30 kg/m

resultsSubcutaneous adipose tissue was increased in obese subjects. Virtual-noncontrast maps revealed in obese patients a decrease in basal cortical and medullary attenuation. Overall, basal attenuation inversely correlated with body mass index, in line with renal fat deposition. Contrarily, the kidney/aorta CT attenuation (after background subtraction) and kidney/aorta iodine ratios were similar between lean and obese subjects and correlated directly. These observations show that following background subtraction, the CT number reliably reflects basal tissue attenuation.

conclusionTherefore, our findings support our hypothesis that background subtraction enables reliable assessment of kidney function in mildly obese subjects using MDCT, despite decreased basal attenuation due to renal adiposity.

Indexed as

AdiposityBody Mass IndexAdipose TissueAgedContrast MediaFemaleGlomerular Filtration RateHumansKidneyMaleMultidetector Computed TomographyObesityContrast MediaDual Energy Computed TomographyIntrarenal fatIodine mapsObesityRenal perfusion

Identifiers

PMID30655055
PMCPMC6626692
OpenAlexW2910226796

What OpenQuestion holds

Textmetadata
LicenceTDM
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.