Computer-Aided Biomedical Imaging of Periiliac Adipose Tissue Identifies Perivascular Fat as a Marker of Disease Complexity in Patients with Lower Limb Ischemia

The aim of the study was to develop a semi-automated, computer-aided imaging technique to quantify the amount and distribution of perivascular fat at the level of the iliac arteries (periiliac adipose tissue—PIAT), and to investigate the association of this new computer-aided imaging biomarker with...

Full description

Bibliographic Details
Main Authors: Emese Rapolti, Diana Opincariu, Imre Benedek, Istvan Kovacs, Mihaela Ratiu, Nora Rat, Theodora Benedek
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/10/13/4456
id doaj-f4ed4aef1ba842b3be4e2230d8f2ca67
record_format Article
spelling doaj-f4ed4aef1ba842b3be4e2230d8f2ca672020-11-25T03:11:12ZengMDPI AGApplied Sciences2076-34172020-06-01104456445610.3390/app10134456Computer-Aided Biomedical Imaging of Periiliac Adipose Tissue Identifies Perivascular Fat as a Marker of Disease Complexity in Patients with Lower Limb IschemiaEmese Rapolti0Diana Opincariu1Imre Benedek2Istvan Kovacs3Mihaela Ratiu4Nora Rat5Theodora Benedek6George Emil Palade University of Medicine, Pharmacy, Sciences and Technology of Târgu Mureș, Gheorge Marinescu Street, no. 38, Târgu Mureș, 540142 Mureș, RomaniaGeorge Emil Palade University of Medicine, Pharmacy, Sciences and Technology of Târgu Mureș, Gheorge Marinescu Street, no. 38, Târgu Mureș, 540142 Mureș, RomaniaGeorge Emil Palade University of Medicine, Pharmacy, Sciences and Technology of Târgu Mureș, Gheorge Marinescu Street, no. 38, Târgu Mureș, 540142 Mureș, RomaniaGeorge Emil Palade University of Medicine, Pharmacy, Sciences and Technology of Târgu Mureș, Gheorge Marinescu Street, no. 38, Târgu Mureș, 540142 Mureș, RomaniaGeorge Emil Palade University of Medicine, Pharmacy, Sciences and Technology of Târgu Mureș, Gheorge Marinescu Street, no. 38, Târgu Mureș, 540142 Mureș, RomaniaGeorge Emil Palade University of Medicine, Pharmacy, Sciences and Technology of Târgu Mureș, Gheorge Marinescu Street, no. 38, Târgu Mureș, 540142 Mureș, RomaniaGeorge Emil Palade University of Medicine, Pharmacy, Sciences and Technology of Târgu Mureș, Gheorge Marinescu Street, no. 38, Târgu Mureș, 540142 Mureș, RomaniaThe aim of the study was to develop a semi-automated, computer-aided imaging technique to quantify the amount and distribution of perivascular fat at the level of the iliac arteries (periiliac adipose tissue—PIAT), and to investigate the association of this new computer-aided imaging biomarker with other biomedical imaging biomarkers, which characterize the pelvic adipose tissue (SAT—subcutaneous adipose tissue; VAT—visceral adipose tissue). We included 34 patients with peripheral arterial disease, in whom the volumes of PIAT, SAT and VAT were quantified using a dedicated software, at the level of right and left iliac arteries. Median value of PIAT was five milliliters. Patients with PIAT > five milliliters were in more advanced Fontaine classes, with more complex arterial lesions, compared to those with low PIAT (<5 mL) (<i>p</i> < 0.0001). PIAT volumes presented a gradual increase with the Trans-Atlantic Inter-Society Consensus (TASC) class (2.57 +/− 1.98 in TASC A, 4.65 +/− 1.63 in TASC B, 8.79 +/− 1.99 in TASC C and 13.77 +/− 2.74 in TASC D). The distribution of PIAT between the left and right iliac axis was quasi-uniform (correlation between right and left PIAT: <i>r</i> = 0.46, <i>p</i> = 0.005). Linear regression analysis showed that the mean PIAT volume was correlated with VAT (<i>r</i> = 0.38, <i>p</i> = 0.02), but not with the SAT at the level of iliac artery origin (<i>r</i> = 0.16, <i>p</i> = 0.34). PIAT may represent a novel biomedical imaging derived biomarker, which characterizes the distribution of adipose tissue in the pelvic area and may serve as an indicator of the severity and complexity of lower limb ischemia.https://www.mdpi.com/2076-3417/10/13/4456periiliac adipose tissueperipheral artery diseasecomputer-aided imaging
collection DOAJ
language English
format Article
sources DOAJ
author Emese Rapolti
Diana Opincariu
Imre Benedek
Istvan Kovacs
Mihaela Ratiu
Nora Rat
Theodora Benedek
spellingShingle Emese Rapolti
Diana Opincariu
Imre Benedek
Istvan Kovacs
Mihaela Ratiu
Nora Rat
Theodora Benedek
Computer-Aided Biomedical Imaging of Periiliac Adipose Tissue Identifies Perivascular Fat as a Marker of Disease Complexity in Patients with Lower Limb Ischemia
Applied Sciences
periiliac adipose tissue
peripheral artery disease
computer-aided imaging
author_facet Emese Rapolti
Diana Opincariu
Imre Benedek
Istvan Kovacs
Mihaela Ratiu
Nora Rat
Theodora Benedek
author_sort Emese Rapolti
title Computer-Aided Biomedical Imaging of Periiliac Adipose Tissue Identifies Perivascular Fat as a Marker of Disease Complexity in Patients with Lower Limb Ischemia
title_short Computer-Aided Biomedical Imaging of Periiliac Adipose Tissue Identifies Perivascular Fat as a Marker of Disease Complexity in Patients with Lower Limb Ischemia
title_full Computer-Aided Biomedical Imaging of Periiliac Adipose Tissue Identifies Perivascular Fat as a Marker of Disease Complexity in Patients with Lower Limb Ischemia
title_fullStr Computer-Aided Biomedical Imaging of Periiliac Adipose Tissue Identifies Perivascular Fat as a Marker of Disease Complexity in Patients with Lower Limb Ischemia
title_full_unstemmed Computer-Aided Biomedical Imaging of Periiliac Adipose Tissue Identifies Perivascular Fat as a Marker of Disease Complexity in Patients with Lower Limb Ischemia
title_sort computer-aided biomedical imaging of periiliac adipose tissue identifies perivascular fat as a marker of disease complexity in patients with lower limb ischemia
publisher MDPI AG
series Applied Sciences
issn 2076-3417
publishDate 2020-06-01
description The aim of the study was to develop a semi-automated, computer-aided imaging technique to quantify the amount and distribution of perivascular fat at the level of the iliac arteries (periiliac adipose tissue—PIAT), and to investigate the association of this new computer-aided imaging biomarker with other biomedical imaging biomarkers, which characterize the pelvic adipose tissue (SAT—subcutaneous adipose tissue; VAT—visceral adipose tissue). We included 34 patients with peripheral arterial disease, in whom the volumes of PIAT, SAT and VAT were quantified using a dedicated software, at the level of right and left iliac arteries. Median value of PIAT was five milliliters. Patients with PIAT > five milliliters were in more advanced Fontaine classes, with more complex arterial lesions, compared to those with low PIAT (<5 mL) (<i>p</i> < 0.0001). PIAT volumes presented a gradual increase with the Trans-Atlantic Inter-Society Consensus (TASC) class (2.57 +/− 1.98 in TASC A, 4.65 +/− 1.63 in TASC B, 8.79 +/− 1.99 in TASC C and 13.77 +/− 2.74 in TASC D). The distribution of PIAT between the left and right iliac axis was quasi-uniform (correlation between right and left PIAT: <i>r</i> = 0.46, <i>p</i> = 0.005). Linear regression analysis showed that the mean PIAT volume was correlated with VAT (<i>r</i> = 0.38, <i>p</i> = 0.02), but not with the SAT at the level of iliac artery origin (<i>r</i> = 0.16, <i>p</i> = 0.34). PIAT may represent a novel biomedical imaging derived biomarker, which characterizes the distribution of adipose tissue in the pelvic area and may serve as an indicator of the severity and complexity of lower limb ischemia.
topic periiliac adipose tissue
peripheral artery disease
computer-aided imaging
url https://www.mdpi.com/2076-3417/10/13/4456
work_keys_str_mv AT emeserapolti computeraidedbiomedicalimagingofperiiliacadiposetissueidentifiesperivascularfatasamarkerofdiseasecomplexityinpatientswithlowerlimbischemia
AT dianaopincariu computeraidedbiomedicalimagingofperiiliacadiposetissueidentifiesperivascularfatasamarkerofdiseasecomplexityinpatientswithlowerlimbischemia
AT imrebenedek computeraidedbiomedicalimagingofperiiliacadiposetissueidentifiesperivascularfatasamarkerofdiseasecomplexityinpatientswithlowerlimbischemia
AT istvankovacs computeraidedbiomedicalimagingofperiiliacadiposetissueidentifiesperivascularfatasamarkerofdiseasecomplexityinpatientswithlowerlimbischemia
AT mihaelaratiu computeraidedbiomedicalimagingofperiiliacadiposetissueidentifiesperivascularfatasamarkerofdiseasecomplexityinpatientswithlowerlimbischemia
AT norarat computeraidedbiomedicalimagingofperiiliacadiposetissueidentifiesperivascularfatasamarkerofdiseasecomplexityinpatientswithlowerlimbischemia
AT theodorabenedek computeraidedbiomedicalimagingofperiiliacadiposetissueidentifiesperivascularfatasamarkerofdiseasecomplexityinpatientswithlowerlimbischemia
_version_ 1724655422928846848