Validation of a fast method for quantification of intra-abdominal and subcutaneous adipose tissue for large-scale human studies

Borga, Magnus; Thomas, E. Louise; Romu, Thobias; Rosander, Johannes; Fitzpatrick, Julie; Leinhard, Olof Dahlqvist; Bell, Jimmy D.

doi:10.1002/nbm.3432

Cited by 69 publications

(107 citation statements)

References 32 publications

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“…In addition to quantifying fractional fat content in solid organs, MRI has also been used to quantify whole body fat volume 16–23 . However, most MRI techniques for this purpose have relied on manual segmentation, which is expensive, laborious, and impractical, limiting their use to small cohorts in the research setting 19,24–26 .…”

Section: Introductionmentioning

confidence: 99%

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Fat Quantification in the Abdomen

Hong

Dehkordy

Hooker

et al. 2017

Topics in Magnetic Resonance Imaging

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Fatty liver disease is characterized histologically by hepatic steatosis, the abnormal accumulation of lipid in hepatocytes. It is classified into alcoholic fatty liver disease and non-alcoholic fatty liver disease, and is an increasingly important cause of chronic liver disease and cirrhosis. Assessing the severity of hepatic steatosis in these conditions is important for diagnostic and prognostic purposes, as hepatic steatosis is potentially reversible if diagnosed early. The gold standard for assessing hepatic steatosis is liver biopsy, which is limited by sampling error, its invasive nature, and associated morbidity. As such, non-invasive imaging-based methods of assessing hepatic steatosis are needed. Ultrasound and CT are able to suggest the presence of hepatic steatosis based on imaging features, but are unable to accurately quantify hepatic fat content. Since Dixon’s seminal work in 1984, MRI has been used to compute the signal fat fraction from chemical-shift-encoded imaging, commonly implemented as out-of-phase and in-phase imaging. However, signal fat fraction is confounded by several factors that limit its accuracy and reproducibility. Recently, advanced chemical-shift-encoded MRI methods have been developed that address these confounders and are able to measure the proton density fat fraction (PDFF), a standardized, accurate, and reproducible biomarker of fat content. The use of these methods in the liver, as well as in other abdominal organs such as the pancreas, adrenal glands, and adipose tissue will be discussed in this review.

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Section: Introductionmentioning

confidence: 99%

“…Recently, a technique based on 3D Dixon imaging has been proposed to quantify intra-abdominal adipose tissue as well as subcutaneous adipose tissue. The new method enables faster fat quantification and its large-scale feasibility has been demonstrated in the United Kingdom BioBank study 23,27 .…”

Section: Introductionmentioning

confidence: 99%

Fat Quantification in the Abdomen

Hong

Dehkordy

Hooker

et al. 2017

Topics in Magnetic Resonance Imaging

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“…The semi-automated image analysis was performed using software provided by AMRA™ (Advanced MR Analytics AB, Linköping, Sweden); this method has been previously described (24,(26)(27)(28) and is used in AMRA Profiler™, a cloud-based analysis service for MR-based body composition analysis. In brief, the analysis consists of the following steps:…”

Section: Semi-automated Quantification Techniquementioning

confidence: 99%

Test-retest reliability of rapid whole body and compartmental fat volume quantification on a widebore 3T MR system in normal-weight, overweight, and obese subjects

Newman

Kelly-Morland

Leinhard

et al. 2016

J. Magn. Reson. Imaging

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, Test-retest reliability of rapid whole body and compartmental fat volume quantification on a widebore 3T MR system in normal-weight, overweight, and obese subjects, 2016 ABSTRACT PurposeTo measure the test-retest reliability of rapid (< 15 min) whole body and visceral fat volume quantification in normal and obese subjects on a wide bore 3T MR system and compare with conventional manual segmentation. Materials and MethodsThirty participants (BMI 20.1-48.6 kg/m 2 ) underwent two whole body MRI examinations on a wide bore 3T machine using a 2-point Dixon technique. Phase sensitive reconstruction and intensity inhomogeneity correction produced quantitative datasets of Total Adipose Tissue (TAT), Abdominal Subcutaneous Adipose Tissue (ASAT) and Visceral Adipose Tissue (VAT).The quantification was performed automatically using non-rigid atlas-based segmentation and compared with manual segmentation (SliceOmatic™) ResultsThe mean TAT was 31.74 L with a coefficient of variation (CV) of 0.79% and a coefficient of repeatability (CR) of 0.49 L. The ASAT was 7.92 L with a CV of 2.98% and a CR of 0.46 L. There was no significant difference in the semi-automated and manually segmented VAT (p=0.73) but there were differences in the reliability of the two techniques. The mean semiautomated VAT was 2.56 L, CV 1.8% and CR 0.09 L compared to the mean manually segmented VAT of 3.12 L where the CV was 6.3% and the CR was 0.39 L. ConclusionRapid semi-automated whole body and compartmental fat volume quantification can be derived from a wide bore 3T system, for a range of body sizes including obese patients, with "almost perfect" test-retest reliability.

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“…This evaluation has however become outdated as both reference methods have been upgraded, and the water-fat swaps seen in paper I have become less common. The PSR algorithm has also been successfully used in a range of studies [32,[68][69][70][71][72][73][74][75][76][77][78]. These studies did not directly evaluate the performance of PSR.…”

Section: Validation Of Phase-sensitive Reconstructionmentioning

confidence: 99%

“…The accuracy has primarily been evaluated against conventional image segmentation methods. A comparison between RFC-image and T1-weighted GRE-image was conducted as part of designing the 2PD protocol for the UKbiobank imaging study [77]. The comparison to T1-weighted images included ASAT and VAT, and showed an excellent agreement between methods, as well as an inter-observer coefficient of variation as low as 1.1 %.…”

Section: Validation Of Fat-referenced Mri-based Body-composition Analmentioning

confidence: 99%

Fat-Referenced MRI: Quanitaive MRI for Tissue Characterizaion and Volume Measurement

Romu¹

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ii POPULÄRVETENSKAPLIG SAMMANFATTNING Avvikande eller förändrad kroppssammansättning är centralt del i många av de större utmaningar som vården står inför. Vi blir allt äldre och allt fler drabbas av sarkopeni (förlust av muskelvolym och styrka). Samtidigt ökar andelen av befolkningen som lider av fetma (ett BMI över 30), vilket för med sig en ökad risk för bland annat typ 2 diabetes, hjärt-och kärlsjukdomar samt vissa sorters cancer. På befolkningsnivå ses starka samband mellan BMI risk för sjukdom, men BMI räcker ofta inte till för att precist avgöra en individs risk för specifika sjukdomar.Aktuell forskning har visat att fettets fördelning i kroppen, och hur fett lagras in i olika organ så som levern, kan ge en bättre förståelse om den individuella risken för sjukdom och dödlighet. Ett tydligt exempel är att en person med bukfetma har en större risk för metabola sjukdomar, jämfört med en som primärt lagrar fett under huden. Två personer med samma mängd fett kan alltså ha två olika riskprofiler. Problemet är att det finns få kliniska verktyg för att göra noggranna och detaljerade mätningar av fettfördelningen inuti kroppen. De som finns är antingen indirekta, opraktiska eller kräver ingrepp så som biopsier. Mer precisa mätinstrument skulle ge vården möjlighet att säkrare bedöma vilka specifika risker en individ står inför, hur en behandling påverkar kroppen och skräddarsy behandlingen därefter.Magnetisk resonanstomografi (MRT) anses av många vara den mest noggranna metoden för att mäta hur fett och andra vävnader är fördelade i kroppen. Kroppssammansättning mäts oftast genom att en operatör definierar vad som är vad i MRT-bilderna, och sedan beräknas volymen av varje område. För fettmätning innebär det att en operatör måste välja vilka delar av bilderna som består av fettvävnad och vilka som inte gör det. Bättre vore om bilden var kvantitativ, så att dess intensitet avspeglade mängden fettvävnad. Med sådana bilder behöver operatören endast definiera vilket område som det skall mätas fettvävnad inom. En sådan uppgift är både mer tidseffektiv och enklare att automatisera.I den här avhandlingen presenteras hur en kvantitativ MRT-metod kallad fett-refererad MRT kan implementeras i praktiken. Fett-refererad MRT skapar en bild utav allt fett i kroppen, där alla bildvärden representerar andelen fettvävnad. Avhandlingen visar att metoden är okänslig för den ursprungliga kontrasten i bilderna som fett-refererad MRT använder som indata, vilket gör det troligt att fett-refererad MRT kommer mäta samma kroppskomposition, oavsett MRTkamera.Avhandlingen undersöker också om fett-refererad MRT kan användas för att mäta brunt fett. Till skillnad från vitt fett, som lagrar energi, så förbränner brunt fett energi för att generera värme. Det bruna fettet har med andra ord en unik funktion i kroppen, och dess påverkan på metabolismen och sjuklighet studeras för närvarande flitigt. De högupplösta och kvantitativa bilder som den fett-refererade metoden genererar visade sig lämpliga för brun fettmätning i råtta. Metoden användes sedan...

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Validation of a fast method for quantification of intra-abdominal and subcutaneous adipose tissue for large-scale human studies

Cited by 69 publications

References 32 publications

Fat Quantification in the Abdomen

Fat Quantification in the Abdomen

Test-retest reliability of rapid whole body and compartmental fat volume quantification on a widebore 3T MR system in normal-weight, overweight, and obese subjects

Fat-Referenced MRI: Quanitaive MRI for Tissue Characterizaion and Volume Measurement

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