Milja Holstila1, Marko Pesola2, Teemu Saari3, Kalle Koskensalo4, Juho Raiko5, Ronald J H Borra6, Pirjo Nuutila5, Riitta Parkkola7, Kirsi A Virtanen5. 1. Turku PET Centre, Turku University Hospital, Turku, Finland; Turku PET Centre, University of Turku, Turku, Finland; Medical Imaging Centre of Southwest Finland, Turku University Hospital, Turku, Finland. Electronic address: milja.holstila@utu.fi. 2. Medical Imaging and Radiation Therapy, Carea, Kymenlaakso Social and Health Services, Kotka, Finland. 3. Turku PET Centre, University of Turku, Turku, Finland. 4. Turku PET Centre, Turku University Hospital, Turku, Finland. 5. Turku PET Centre, Turku University Hospital, Turku, Finland; Turku PET Centre, University of Turku, Turku, Finland. 6. Medical Imaging Centre of Southwest Finland, Turku University Hospital, Turku, Finland; Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, Netherlands. 7. Turku PET Centre, University of Turku, Turku, Finland; Medical Imaging Centre of Southwest Finland, Turku University Hospital, Turku, Finland.
Abstract
OBJECTIVE: Brown adipose tissue (BAT) is compositionally distinct from white adipose tissue (WAT) in terms of triglyceride and water content. In adult humans, the most significant BAT depot is localized in the supraclavicular area. Our aim is to differentiate brown adipose tissue from white adipose tissue using fat T2* relaxation time mapping and signal-fat-fraction (SFF) analysis based on a commercially available modified 2-point-Dixon (mDixon) water-fat separation method. We hypothesize that magnetic resonance (MR) imaging can reliably measure BAT regardless of the cold-induced metabolic activation, with BAT having a significantly higher water and iron content compared to WAT. MATERIAL AND METHODS: The supraclavicular area of 13 volunteers was studied on 3T PET-MRI scanner using T2* relaxation time and SFF mapping both during cold exposure and at ambient temperature; and 18F-FDG PET during cold exposure. Volumes of interest (VOIs) were defined semiautomatically in the supraclavicular fat depot, subcutaneous WAT and muscle. RESULTS: The supraclavicular fat depot (assumed to contain BAT) had a significantly lower SFF and fat T2* relaxation time compared to subcutaneous WAT. Cold exposure did not significantly affect MR-based measurements. SFF and T2* values measured during cold exposure and at ambient temperature correlated inversely with the glucose uptake measured by 18F-FDG PET. CONCLUSIONS: Human BAT can be reliably and safely assessed using MRI without cold activation and PET-related radiation exposure.
OBJECTIVE: Brown adipose tissue (BAT) is compositionally distinct from white adipose tissue (WAT) in terms of triglyceride and water content. In adult humans, the most significant BAT depot is localized in the supraclavicular area. Our aim is to differentiate brown adipose tissue from white adipose tissue using fat T2* relaxation time mapping and signal-fat-fraction (SFF) analysis based on a commercially available modified 2-point-Dixon (mDixon) water-fat separation method. We hypothesize that magnetic resonance (MR) imaging can reliably measure BAT regardless of the cold-induced metabolic activation, with BAT having a significantly higher water and iron content compared to WAT. MATERIAL AND METHODS: The supraclavicular area of 13 volunteers was studied on 3T PET-MRI scanner using T2* relaxation time and SFF mapping both during cold exposure and at ambient temperature; and 18F-FDG PET during cold exposure. Volumes of interest (VOIs) were defined semiautomatically in the supraclavicular fat depot, subcutaneous WAT and muscle. RESULTS: The supraclavicular fat depot (assumed to contain BAT) had a significantly lower SFF and fat T2* relaxation time compared to subcutaneous WAT. Cold exposure did not significantly affect MR-based measurements. SFF and T2* values measured during cold exposure and at ambient temperature correlated inversely with the glucose uptake measured by 18F-FDG PET. CONCLUSIONS:Human BAT can be reliably and safely assessed using MRI without cold activation and PET-related radiation exposure.
Authors: Jie Deng; Lisa M Neff; Nicholas C Rubert; Bin Zhang; Richard M Shore; Jonathan D Samet; Paige C Nelson; Lewis Landsberg Journal: J Magn Reson Imaging Date: 2017-08-11 Impact factor: 4.813
Authors: Cora Held; Daniela Junker; Mingming Wu; Lisa Patzelt; Laura A Mengel; Christina Holzapfel; Maximilian N Diefenbach; Marcus R Makowski; Hans Hauner; Dimitrios C Karampinos Journal: Quant Imaging Med Surg Date: 2022-05
Authors: André C Carpentier; Denis P Blondin; Kirsi A Virtanen; Denis Richard; François Haman; Éric E Turcotte Journal: Front Endocrinol (Lausanne) Date: 2018-08-07 Impact factor: 5.555
Authors: P Motiani; J Teuho; T Saari; K A Virtanen; S M Honkala; R J Middelbeek; L J Goodyear; O Eskola; J Andersson; E Löyttyniemi; J C Hannukainen; P Nuutila Journal: Obes Sci Pract Date: 2019-04-24
Authors: Elin Lundström; Joy Ljungberg; Jonathan Andersson; Hannes Manell; Robin Strand; Anders Forslund; Peter Bergsten; Daniel Weghuber; Katharina Mörwald; Fanni Zsoldos; Kurt Widhalm; Matthias Meissnitzer; Håkan Ahlström; Joel Kullberg Journal: Pediatr Obes Date: 2019-07-09 Impact factor: 4.000
Authors: Brian T Feeley; Mengyao Liu; C Benjamin Ma; Obiajulu Agha; Mya Aung; Carlin Lee; Xuhui Liu Journal: Am J Sports Med Date: 2020-07-30 Impact factor: 7.010