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Disclosures

Disclosures This research was supported in part by Grants R01HL089765 and R35HL161195 from the National Heart, Lung, and Blood Institute/National Institutes of Health (NHLBI/NIH) (PI: Piotr Slomka).

Volumetric assessment of body composition from cardiac SPECT CT attenuation maps and association of sarcopenia measures with mortality

Jirong Yi, PhD^a Anna M. Michalowska, MD,PhD^a,b Aakash Shanbhag, MSc^a,c Robert J. Miller, MD^a,d Jolien Geers, MD^a,e Wenhao Zhang, PhD^a Aditya Killekar, MSc^a Nipun Manral, MSc^a Mark Lemley, BSc^a Jianhang Zhou, MSc^a Joanna X. Liang, MPH^a Valerie Builoff, BSc^a Terrence D. Ruddy, MD^f Andrew J. Einstein, MD,PhD^g Attila Feher, MD,PhD^h Edward J. Miller, MD,PhD^h Albert J. Sinusas, MD,PhD^h Mikolaj Buchwald, PhD^a Jacek Kwiecinski, MD,PhDⁱ Paul B. Kavanagh, MSc^a Damini Dey, PhD^a Daniel S. Berman, MD^a Piotr J. Slomka, PhD^a

^a Cedars-Sinai Medical Center, USA ^b National Medical Institute of the Ministry of the Interior and Administration, Poland ^c University of Southern California, USA ^d University of Calgary, Calgary, Canada ^e Vrije Universiteit Brussel (VUB), Belgium ^f University of Ottawa Heart Institute, Canada ^g Columbia University Irving Medical Center and New York-Presbyterian Hospital, USA ^h Yale University School of Medicine, United States ⁱ Institute of Cardiology, Poland

Background and Purpose

Methods

Results

Conclusions

• Prognostic evaluation of volumetric body composition from computed tomography for SPECT attenuation correction (CTAC) scan has not been studied
• Aim 1: develop and validate an annotation-free method for body composition segmentation
• Aim 2: evaluate the prognostic value for sarcopenia measurements to predict all-cause mortality (ACM)

• Fully automated volumetric body composition quantification from CTAC is feasible
• Volumetric body composition quantification is strongly associated with all-cause mortality

Rib cage segmentation module

Volumetric quantification

Prognostic evaluation

Pretrained

CT model [1]

• Skeletal muscle (SM) cutoff: 597.16 cm³/m²
• Cox proportional hazard model for hazard ratios (HRs) calculation
• Log-rank test for evaluating statistical significance

Subcutaneous adipose tissue (AT)

Intramuscular AT

Skeletal muscle (SM)

Bone

Visceral AT

Epicardial adipose tissue

[1] Wasserthal Radiology: AI 2023

[2] Miller npj Digital Medicine 2024

Body composition segmentation module

Hazard ratio 0.49 [0.41, 0.59], p<0.0001

SNMMI 2024 ABSTRACT # : 2167 [Yi et al., SNMMI 2024]

Slomka Laboratory, Cedars-Sinai Medical Center

Pretrained

CT model [2]