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Perirenal fat thickness measured with computed tomography is a reliable estimate of perirenal fat mass.

Abstract Deposition of perirenal adipose tissue has been associated with adverse renal and cardiovascular events. We compared various methods to measure perirenal adipose tissue using computerized tomography (CT)-scan and performed correlations with anthropometric measures associated with renal and cardiovascular events. Voluntary overweight and obese subjects undergoing a CT-scan for diagnostic purposes were included in the study. Perirenal adipose tissue volume, adipose tissue area of the renal sinus and perirenal fat thickness were manually measured bilaterally. The intra- and inter-observer coefficient correlations and the correlation between the diverse measures of renal adipose tissue, subcutaneous (SC-)fat and anthropometrics measures were analyzed using Pearson's correlation tests. The forty included patients (24 men, 16 women) had a mean age of 57.6 ± 18.1 years and a mean body mass index of 28.9 ± 2.9 kg/m2. Despite comparable waist circumference, women had a greater SC-fat thickness compared to men, and therefore a smaller amount of visceral fat, as well as smaller perirenal fat volumes. Perirenal fat thickness was better correlated with perirenal fat volume than adipose area of the renal sinus (p <0.02). The adipose area of the renal sinus did not correlate with any anthropometric measures. In women, perirenal fat volume and thickness showed a negative correlation with SC-fat thickness and no correlation with waist circumference. In men, perirenal fat volume and thickness showed a positive correlation with waist circumference and no correlation with subcutaneous fat thickness. In conclusion, perirenal fat thickness measured with CT-scan at the level of the renal veins is a simple and reliable estimate of perirenal fat volume, that correlated negatively with SC-fat in women and positively with waist circumference in men. The adipose area of the renal sinus did not correlate with any anthropometric measure.
PMID
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Authors

Mayor MeshTerms
Keywords
Journal Title plos one
Publication Year Start




PMID- 28423008
OWN - NLM
STAT- MEDLINE
DA  - 20170419
DCOM- 20170427
LR  - 20170427
IS  - 1932-6203 (Electronic)
IS  - 1932-6203 (Linking)
VI  - 12
IP  - 4
DP  - 2017
TI  - Perirenal fat thickness measured with computed tomography is a reliable estimate 
      of perirenal fat mass.
PG  - e0175561
LID - 10.1371/journal.pone.0175561 [doi]
AB  - Deposition of perirenal adipose tissue has been associated with adverse renal and
      cardiovascular events. We compared various methods to measure perirenal adipose
      tissue using computerized tomography (CT)-scan and performed correlations with
      anthropometric measures associated with renal and cardiovascular events.
      Voluntary overweight and obese subjects undergoing a CT-scan for diagnostic
      purposes were included in the study. Perirenal adipose tissue volume, adipose
      tissue area of the renal sinus and perirenal fat thickness were manually measured
      bilaterally. The intra- and inter-observer coefficient correlations and the
      correlation between the diverse measures of renal adipose tissue, subcutaneous
      (SC-)fat and anthropometrics measures were analyzed using Pearson's correlation
      tests. The forty included patients (24 men, 16 women) had a mean age of 57.6 +/- 
      18.1 years and a mean body mass index of 28.9 +/- 2.9 kg/m2. Despite comparable
      waist circumference, women had a greater SC-fat thickness compared to men, and
      therefore a smaller amount of visceral fat, as well as smaller perirenal fat
      volumes. Perirenal fat thickness was better correlated with perirenal fat volume 
      than adipose area of the renal sinus (p &lt;0.02). The adipose area of the renal
      sinus did not correlate with any anthropometric measures. In women, perirenal fat
      volume and thickness showed a negative correlation with SC-fat thickness and no
      correlation with waist circumference. In men, perirenal fat volume and thickness 
      showed a positive correlation with waist circumference and no correlation with
      subcutaneous fat thickness. In conclusion, perirenal fat thickness measured with 
      CT-scan at the level of the renal veins is a simple and reliable estimate of
      perirenal fat volume, that correlated negatively with SC-fat in women and
      positively with waist circumference in men. The adipose area of the renal sinus
      did not correlate with any anthropometric measure.
FAU - Favre, Guillaume
AU  - Favre G
AUID- ORCID: http://orcid.org/0000-0003-1069-4344
AD  - Nephrology Unit, Nice University Hospital, Nice, France.
AD  - University of Nice Sophia-Antipolis, Nice, France.
AD  - Institute for Research on Cancer and Aging, Nice (IRCAN), "Aging and Diabetes"
      team, Nice, France.
FAU - Grangeon-Chapon, Caroline
AU  - Grangeon-Chapon C
AD  - Nuclear Medicine Department, Nice University Hospital, Nice, France.
FAU - Raffaelli, Charles
AU  - Raffaelli C
AD  - Radiology Department, Nice University Hospital, Nice, France.
FAU - Francois-Chalmin, Florence
AU  - Francois-Chalmin F
AD  - Nephrology Unit, Nice University Hospital, Nice, France.
FAU - Iannelli, Antonio
AU  - Iannelli A
AD  - University of Nice Sophia-Antipolis, Nice, France.
AD  - Digestive Unit, Archet 2 Hospital, University Hospital of Nice, Nice, France.
AD  - Inserm, U1065, Team 8 "Hepatic complications of obesity", Nice, France.
FAU - Esnault, Vincent
AU  - Esnault V
AD  - Nephrology Unit, Nice University Hospital, Nice, France.
AD  - University of Nice Sophia-Antipolis, Nice, France.
AD  - Institute for Research on Cancer and Aging, Nice (IRCAN), "Aging and Diabetes"
      team, Nice, France.
LA  - eng
PT  - Journal Article
DEP - 20170419
PL  - United States
TA  - PLoS One
JT  - PloS one
JID - 101285081
SB  - IM
MH  - Adult
MH  - Aged
MH  - Body Fat Distribution/instrumentation/*methods
MH  - Body Mass Index
MH  - Female
MH  - Humans
MH  - Intra-Abdominal Fat/*diagnostic imaging/pathology
MH  - Kidney/*diagnostic imaging
MH  - Male
MH  - Middle Aged
MH  - Obesity/*diagnostic imaging/pathology
MH  - Observer Variation
MH  - Sex Factors
MH  - Tomography, X-Ray Computed
MH  - Waist Circumference
EDAT- 2017/04/20 06:00
MHDA- 2017/04/28 06:00
CRDT- 2017/04/20 06:00
PHST- 2016/12/17 [received]
PHST- 2017/03/28 [accepted]
AID - 10.1371/journal.pone.0175561 [doi]
AID - PONE-D-16-49834 [pii]
PST - epublish
SO  - PLoS One. 2017 Apr 19;12(4):e0175561. doi: 10.1371/journal.pone.0175561.
      eCollection 2017.

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