Tobias Haueise, Fritz Schick, Norbert Stefan, Elena Grune, Marc-Nicolas von Itter, Hans-Ulrich Kauczor, Johanna Nattenmüller, Tobias Norajitra, Tobias Nonnenmacher, Susanne Rospleszcz, Klaus H Maier-Hein, Christopher L Schlett, Jakob B Weiss, Beate Fischer, Karl-Heinz Jöckel, Lilian Krist, Thoralf Niendorf, Annette Peters, Anja M Sedlmeier, Stefan N Willich, Fabian Bamberg, Jürgen Machann
{"title":"细化内脏脂肪组织量化:性别、年龄和BMI对德国国家队列三维MRI单片估计的影响。","authors":"Tobias Haueise, Fritz Schick, Norbert Stefan, Elena Grune, Marc-Nicolas von Itter, Hans-Ulrich Kauczor, Johanna Nattenmüller, Tobias Norajitra, Tobias Nonnenmacher, Susanne Rospleszcz, Klaus H Maier-Hein, Christopher L Schlett, Jakob B Weiss, Beate Fischer, Karl-Heinz Jöckel, Lilian Krist, Thoralf Niendorf, Annette Peters, Anja M Sedlmeier, Stefan N Willich, Fabian Bamberg, Jürgen Machann","doi":"10.1016/j.zemedi.2025.02.005","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>High prevalence of visceral obesity and its associated complications underscore the importance of accurately quantifying visceral adipose tissue (VAT) depots. While whole-body MRI offers comprehensive insights into adipose tissue distribution, it is resource-intensive. Alternatively, evaluation of defined single slices provides an efficient approach for estimation of total VAT volume. This study investigates the influence of sex-, age-, and BMI on VAT distribution along the craniocaudal axis and total VAT volume obtained from single slice versus volumetric assessment in 3D MRI and aims to identify age-independent locations for accurate estimation of VAT volume from single slice assessment.</p><p><strong>Materials and methods: </strong>This secondary analysis of the prospective population-based German National Cohort (NAKO) included 3D VIBE Dixon MRI from 11,191 participants (screened between May 2014 and December 2016). VAT and spine segmentations were automatically generated using fat-selective images. Standardized craniocaudal VAT profiles were generated. Axial percentage of total VAT was used for identification of reference locations for volume estimation of VAT from a single slice.</p><p><strong>Results: </strong>Data from 11,036 participants (mean age, 52 ± 11 years, 5681 men) were analyzed. Craniocaudal VAT distribution differed qualitatively between men/women and with respect to age/BMI. Age-independent single slice VAT estimates demonstrated strong correlations with reference VAT volumes. Anatomical locations for accurate VAT estimation varied with sex/BMI.</p><p><strong>Conclusions: </strong>The selection of reference locations should be different depending on BMI groups, with a preference for caudal shifts in location with increasing BMI. For women with obesity (BMI >30 kg/m<sup>2</sup>), the L1 level emerges as the optimal reference location.</p>","PeriodicalId":101315,"journal":{"name":"Zeitschrift fur medizinische Physik","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Refining visceral adipose tissue quantification: Influence of sex, age, and BMI on single slice estimation in 3D MRI of the German National Cohort.\",\"authors\":\"Tobias Haueise, Fritz Schick, Norbert Stefan, Elena Grune, Marc-Nicolas von Itter, Hans-Ulrich Kauczor, Johanna Nattenmüller, Tobias Norajitra, Tobias Nonnenmacher, Susanne Rospleszcz, Klaus H Maier-Hein, Christopher L Schlett, Jakob B Weiss, Beate Fischer, Karl-Heinz Jöckel, Lilian Krist, Thoralf Niendorf, Annette Peters, Anja M Sedlmeier, Stefan N Willich, Fabian Bamberg, Jürgen Machann\",\"doi\":\"10.1016/j.zemedi.2025.02.005\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objectives: </strong>High prevalence of visceral obesity and its associated complications underscore the importance of accurately quantifying visceral adipose tissue (VAT) depots. While whole-body MRI offers comprehensive insights into adipose tissue distribution, it is resource-intensive. Alternatively, evaluation of defined single slices provides an efficient approach for estimation of total VAT volume. This study investigates the influence of sex-, age-, and BMI on VAT distribution along the craniocaudal axis and total VAT volume obtained from single slice versus volumetric assessment in 3D MRI and aims to identify age-independent locations for accurate estimation of VAT volume from single slice assessment.</p><p><strong>Materials and methods: </strong>This secondary analysis of the prospective population-based German National Cohort (NAKO) included 3D VIBE Dixon MRI from 11,191 participants (screened between May 2014 and December 2016). VAT and spine segmentations were automatically generated using fat-selective images. Standardized craniocaudal VAT profiles were generated. Axial percentage of total VAT was used for identification of reference locations for volume estimation of VAT from a single slice.</p><p><strong>Results: </strong>Data from 11,036 participants (mean age, 52 ± 11 years, 5681 men) were analyzed. Craniocaudal VAT distribution differed qualitatively between men/women and with respect to age/BMI. Age-independent single slice VAT estimates demonstrated strong correlations with reference VAT volumes. Anatomical locations for accurate VAT estimation varied with sex/BMI.</p><p><strong>Conclusions: </strong>The selection of reference locations should be different depending on BMI groups, with a preference for caudal shifts in location with increasing BMI. For women with obesity (BMI >30 kg/m<sup>2</sup>), the L1 level emerges as the optimal reference location.</p>\",\"PeriodicalId\":101315,\"journal\":{\"name\":\"Zeitschrift fur medizinische Physik\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-03-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Zeitschrift fur medizinische Physik\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1016/j.zemedi.2025.02.005\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Zeitschrift fur medizinische Physik","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.zemedi.2025.02.005","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Refining visceral adipose tissue quantification: Influence of sex, age, and BMI on single slice estimation in 3D MRI of the German National Cohort.
Objectives: High prevalence of visceral obesity and its associated complications underscore the importance of accurately quantifying visceral adipose tissue (VAT) depots. While whole-body MRI offers comprehensive insights into adipose tissue distribution, it is resource-intensive. Alternatively, evaluation of defined single slices provides an efficient approach for estimation of total VAT volume. This study investigates the influence of sex-, age-, and BMI on VAT distribution along the craniocaudal axis and total VAT volume obtained from single slice versus volumetric assessment in 3D MRI and aims to identify age-independent locations for accurate estimation of VAT volume from single slice assessment.
Materials and methods: This secondary analysis of the prospective population-based German National Cohort (NAKO) included 3D VIBE Dixon MRI from 11,191 participants (screened between May 2014 and December 2016). VAT and spine segmentations were automatically generated using fat-selective images. Standardized craniocaudal VAT profiles were generated. Axial percentage of total VAT was used for identification of reference locations for volume estimation of VAT from a single slice.
Results: Data from 11,036 participants (mean age, 52 ± 11 years, 5681 men) were analyzed. Craniocaudal VAT distribution differed qualitatively between men/women and with respect to age/BMI. Age-independent single slice VAT estimates demonstrated strong correlations with reference VAT volumes. Anatomical locations for accurate VAT estimation varied with sex/BMI.
Conclusions: The selection of reference locations should be different depending on BMI groups, with a preference for caudal shifts in location with increasing BMI. For women with obesity (BMI >30 kg/m2), the L1 level emerges as the optimal reference location.