Quantification of muscle, bones, and fat on single slice thigh CT

Yang, Qi; Yu, Xin; Lee, Ho Hin; Tang, Yucheng; Bao, Shunxing; Gravenstein, Kris S.; Moore, Ann Zenobia; Makrogiannis, Sokratis; Ferrucci, Luigi; Landman, Bennett A.

doi:10.1117/12.2611664

Cited by 5 publications

(8 citation statements)

References 12 publications

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“…In vivo 31 P-MRS measurements of phosphorus-containing metabolites were obtained from the quadriceps muscles using a 3T Achieva MR scanner. 4 Participants were positioned supine in the bore of the scanner with a foam wedge underneath the knee to maintain slight flexion (30°), with thighs and hips secured with straps to minimize displacement during exercise.…”

Section: Skeletal Muscle Oxidative Capacitymentioning

confidence: 99%

“…A series of pulse-acquire 31 P-MRS spectra were obtained before, during, and after exercise using a 10-cm 31 P-tuned, flat surface coil (PulseTeq, Surrey, UK) that was secured over the vastus lateralis muscle of the left thigh. 31 P nuclei were excited with 90°adiabatic radio frequency (RF) pulses with an inter-pulse delay time TR = 1.5 s, a four-step phase cycle, and four averages, resulting in a temporal resolution of 6 s. A total of 75 spectra were obtained over the 60 s before, approximately 30 s during, and 360 s after exercise using a 10-cm 31 P-tuned, flat surface coil (PulseTeq, Surrey, UK) secured over the vastus lateralis muscle of the left thigh. The duration of exercise was monitored to achieve between a 33% and 66% reduction in PCr peak height and never exceeded 42 s. Spectra were processed using jMRUI (version 5.2).…”

Section: Skeletal Muscle Oxidative Capacitymentioning

confidence: 99%

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The mediation roles of intermuscular fat and inflammation in muscle mitochondrial associations with cognition and mobility

Tian,

Lee,

Yang

et al. 2023

J cachexia sarcopenia muscle

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BackgroundMitochondrial dysfunction may contribute to brain and muscle health through inflammation or fat infiltration in the muscle, both of which are associated with cognitive function and mobility. We aimed to examine the association between skeletal muscle mitochondrial function and cognitive and mobility outcomes and tested the mediation effect of inflammation or fat infiltration.MethodsWe analysed data from 596 Baltimore Longitudinal Study of Aging participants who had concurrent data on skeletal muscle oxidative capacity and cognitive and mobility measures of interest (mean age: 66.1, 55% women, 24% Black). Skeletal muscle oxidative capacity was assessed as post‐exercise recovery rate (kPCr) via P31 MR spectroscopy. Fat infiltration was measured as intermuscular fat (IMF) via CT scan and was available for 541 participants. Inflammation markers [IL‐6, C‐reactive protein (CRP), total white blood cell (WBC), neutrophil count, erythrocyte sedimentation rate (ESR), or albumin] were available in 594 participants. We examined the association of kPCr and cognitive and mobility measures using linear regression and tested the mediation effect of IMF or inflammation using the mediation package in R. Models were adjusted for demographics and PCr depletion.ResultskPCr and IMF were both significantly associated with specific cognitive domains (DSST, TMA‐A, and pegboard dominant hand performance) and mobility (usual gait speed, HABCPPB, 400 m walk time) (all P < 0.05). IMF significantly mediated the relationship between kPCr and these cognitive and mobility measures (all P < 0.05, proportion mediated 13.1% to 27%). Total WBC, neutrophil count, and ESR, but not IL‐6 or CRP, also mediated at least one of the cognitive and mobility outcomes (all P < 0.05, proportion mediated 9.4% to 15.3%).ConclusionsSkeletal muscle mitochondrial function is associated with cognitive performance involving psychomotor speed. Muscle fat infiltration and specific inflammation markers mediate the relationship between muscle mitochondrial function and cognitive and mobility outcomes. Future studies are needed to confirm these associations longitudinally and to understand their mechanistic underpinnings.

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Section: Skeletal Muscle Oxidative Capacitymentioning

confidence: 99%

Section: Skeletal Muscle Oxidative Capacitymentioning

confidence: 99%

The mediation roles of intermuscular fat and inflammation in muscle mitochondrial associations with cognition and mobility

Tian,

Lee,

Yang

et al. 2023

J cachexia sarcopenia muscle

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“…2,3 Computed tomography is widely used to assess body composition. 4,5 Single abdominal slice is commonly selected to measure body distribution instead of CT volume to reduce radiation absorbed by human body. 6,7 Much effort has been made to analyze the longitudinal relationship between changes of body composition and progression of disease or habitus.…”

Section: Introductionmentioning

confidence: 99%

Longitudinal variability analysis on low-dose abdominal CT with deep learning-based segmentation

Tang

Yang

et al. 2023

Medical Imaging 2023: Image Processing

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Metabolic health is increasingly implicated as a risk factor across conditions from cardiology to neurology, and efficiency assessment of body composition is critical to quantitatively characterizing these relationships. 2D low dose single slice computed tomography (CT) provides a high resolution, quantitative tissue map, albeit with a limited field of view. Although numerous potential analyses have been proposed in quantifying image context, there has been no comprehensive study for low-dose single slice CT longitudinal variability with automated segmentation. We studied a total of 1816 slices from 1469 subjects of Baltimore Longitudinal Study on Aging (BLSA) abdominal dataset using supervised deep learning-based segmentation and unsupervised clustering method. 300 out of 1469 subjects that have two year gap in their first two scans were pick out to evaluate longitudinal variability with measurements including intraclass correlation coefficient (ICC) and coefficient of variation (CV) in terms of tissues/organs size and mean intensity. We showed that our segmentation methods are stable in longitudinal settings with Dice ranged from 0.821 to 0.962 for thirteen target abdominal tissues structures. We observed high variability in most organ with ICC<0.5, low variability in the area of muscle, abdominal wall, fat and body mask with average ICC≥0.8. We found that the variability in organ is highly related to the cross-sectional position of the 2D slice. Our efforts pave quantitative exploration and quality control to reduce uncertainties in longitudinal analysis.

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“…4 In a longitudinal body composition study, single slice CT for each subject reduced unnecessary radiation. [7][8][9] Accurate segmentation of muscle groups on a single slice can aid in understanding thigh components and the effects of aging on muscle. 10 Direct human manual annotation on the single slice CT is labor-intensive and challenging due to similar intensity among different muscle groups in CT. Leveraging publicly available annotation from existing MR resources (source domain) such as MyoSegmentTum for CT (target domain) is a promising direction to overcome the problem of muscle group segmentation.…”

Section: Introductionmentioning

confidence: 99%

“…In a longitudinal body composition study, single slice CT for each subject reduced unnecessary radiation 7 – 9 Accurate segmentation of muscle groups on a single slice can aid in understanding thigh components and the effects of aging on muscle 10 …”

Section: Introductionmentioning

confidence: 99%

Single slice thigh CT muscle group segmentation with domain adaptation and self-training

Yang

Lee

et al. 2023

J. Med. Imag.

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Thigh muscle group segmentation is important for assessing muscle anatomy, metabolic disease, and aging. Many efforts have been put into quantifying muscle tissues with magnetic resonance (MR) imaging, including manual annotation of individual muscles. However, leveraging publicly available annotations in MR images to achieve muscle group segmentation on single-slice computed tomography (CT) thigh images is challenging. Approach:We propose an unsupervised domain adaptation pipeline with selftraining to transfer labels from three-dimensional MR to single CT slices. First, we transform the image appearance from MR to CT with CycleGAN and feed the synthesized CT images to a segmenter simultaneously. Single CT slices are divided into hard and easy cohorts based on the entropy of pseudo-labels predicted by the segmenter. After refining easy cohort pseudo-labels based on anatomical assumption, self-training with easy and hard splits is applied to fine-tune the segmenter.Results: On 152 withheld single CT thigh images, the proposed pipeline achieved a mean Dice of 0.888 (0.041) across all muscle groups, including gracilis, hamstrings, quadriceps femoris, and sartorius muscle.Conclusions: To our best knowledge, this is the first pipeline to achieve domain adaptation from MR to CT for thigh images. The proposed pipeline effectively and robustly extracts muscle groups on two-dimensional single-slice CT thigh images.

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Quantification of muscle, bones, and fat on single slice thigh CT

Cited by 5 publications

References 12 publications

The mediation roles of intermuscular fat and inflammation in muscle mitochondrial associations with cognition and mobility

The mediation roles of intermuscular fat and inflammation in muscle mitochondrial associations with cognition and mobility

Longitudinal variability analysis on low-dose abdominal CT with deep learning-based segmentation

Single slice thigh CT muscle group segmentation with domain adaptation and self-training

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