Opportunistic screening of sarcopenia, osteoporosis, and dysmobility syndrome using CT-based machine learning algorithm

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Opportunistic screening of sarcopenia, osteoporosis, and dysmobility syndrome using CT-based machine learning algorithm
Medical Korea 2021
                            Session 8: 포스트 코로나 시대 비대면 의료혁신기술의 현재와 미래

   Opportunistic screening of sarcopenia,
 osteoporosis, and dysmobility syndrome
using CT-based machine learning algorithm
             Namki Hong, M.D.,M.P.H.

          Department of Internal Medicine,
        Yonsei University College of Medicine,
                    Seoul, Korea
Opportunistic screening of sarcopenia, osteoporosis, and dysmobility syndrome using CT-based machine learning algorithm
Disclosure

• This research was supported by a fund (2013-
  E63007-01, 2013-E63007-02) from Research
  of Korea Centers for Disease Control and
  Prevention.
Opportunistic screening of sarcopenia, osteoporosis, and dysmobility syndrome using CT-based machine learning algorithm
Post COVID-19 era and
       Untact Medicine
• Increased awareness of health

                                                      ?
• Untact

• Expandability

• Cost-effectiveness
                  Yoon Sup Choi, 2020.05.20 Korea Biomedical Review
Opportunistic screening of sarcopenia, osteoporosis, and dysmobility syndrome using CT-based machine learning algorithm
Metabolic syndrome and COVID-19 mortality:
underlying metabolic health in the spotlight

                            Diabetes Care 2020 Aug; dc20171
Opportunistic screening of sarcopenia, osteoporosis, and dysmobility syndrome using CT-based machine learning algorithm
New threats to metabolic hea

Reduced physical activity

Increased dietary intake
Opportunistic screening of sarcopenia, osteoporosis, and dysmobility syndrome using CT-based machine learning algorithm
Aging…
Opportunistic screening of sarcopenia, osteoporosis, and dysmobility syndrome using CT-based machine learning algorithm
Bone loss

[https://courses.washington.edu/bonephys/opclin.html]
Opportunistic screening of sarcopenia, osteoporosis, and dysmobility syndrome using CT-based machine learning algorithm
Muscle loss
Opportunistic screening of sarcopenia, osteoporosis, and dysmobility syndrome using CT-based machine learning algorithm
206   500
Opportunistic screening of sarcopenia, osteoporosis, and dysmobility syndrome using CT-based machine learning algorithm
AFTER COVID-19: Musculoskeletal
perspectives

Accelerated bone loss
Accelerated muscle loss
Impaired mobility
Increased comorbidities
BURDEN OF OSTEOPOROTIC
FRACTURES IN ASIA-PACIFIC
REGION
Incidence of fragility fractures

  1 year incidence

GLOW study: 50,461 women (a prospective, multinational, observational cohort study)
1822 fractures/year
                                     Osteoporos Int. 2012 Dec; 23(12): 2863–2871.
Impact of fragility fractures

             Osteoporos Int. 2012 Dec; 23(12): 2863–2871.
Mortality after fragility fractures

                   Lancet. 1999 Mar 13;353(9156):878-82.
Survival according to types of
fracture and age groups in women
   DUBBO cohort (1989-2007), 4005 individuals (2244, women; 1760, me
   aged 60 or older

    Age < 75                             Age 75 or higher

                                   JAMA. 2009 Feb 4;301(5):513-21.
Survival according to types of
fracture and age groups in men
 DUBBO cohort (1989-2007), 4005 individuals (2244, women; 1760, men)
 aged 60 or older; fractured: 1295 (952, women; 343, men)

   Age < 75                              Age 75 or higher

                                       JAMA. 2009 Feb 4;301(5):513-2
Increased risk for subsequent fractures according
              to initial fracture types

                                 JAMA. 2007 Jan 24;297(4):387-9
Fragility fractures are not benign conditions
Countries with the largest percentage
              point increase in the share of older
              persons aged 65 years or over between
              2019 and 2050

               Estimated and projected prospective old-
               age dependency ratios (65+/20-64)
               by region, 1990-2050

                    Rapid ageing in Asian countries

United Nations. World Population Ageing 2019: Highlights
Secular trends in hip fracture incidence
    rates in Japan from 2010 and 2018

Increased femoral neck fracture incidence in men in 2016-2018
compared to 2004-2006

                                     Archives of Osteoporosis (2020) 15:152
Changes in age-specific incidence of hip fracture in
   Beijing, China from 1990-1992 to 2002-2006

                           J Bone Miner Res. 2012 Jan;27(1):125-9.
Changes in age-specific incidence of hip fracture in South
                          Korea
                  from 2002 to 2011

                            J Korean Med Sci. 2015 Apr; 30(4): 483–488.
Increasing societal costs of fragility
fractures in Korea between 2007 to 2011

             VALUE IN HEALTH REGIONAL ISSUES 9C (2016) 36–41
Key statistics for Asia
•   It is projected that more than about 50% of all
    osteoporotic hip fractures will occur in Asia by the year
    2050

•   In a systematic review of hip fracture incidence worldwide,
    age-standardised hip fracture rates in women were high
    in Hong Kong, Singapore and Taiwan, i.e. an incidence
    above 300/100,000 persons.

•   In China, the incidence of hip fracture will raise from
    411,000 in 2015 to an estimate of more than 1 million
    hip fractures in 2050.

       https://www.osteoporosis.foundation/facts-statistics/key-statistic-for-asia
Bone & Muscle
  • Associations between bone and muscle
      – Quantitatively : BMD and Muscle Mass

• Caucasian 313 women with hip fractures(79.7 years)
• DXA (QDR 4500w, Hologic, Inc)

                                         M. Di Monaco et al. Archives of Gerontology and Geriatrics 2011
Aging of Bone & Muscle
          (g/cm2)
                                                Men                          Women
                 Femur Neck BMD
 Bone

                                                                                                                            Fracture

                                    30s             90s     30s                        90s
                                                  (years)                            (years)
                  (Kg)
                                                Men                           Women
            Appendicular skeletal
 Muscle

               muscle mass

                                                                                                                            Frailty
                                          30s      90s            30s                90s
                                                  (years)                           (years)

Modified from Kim KM et al. J Bone Miner Metab 2012                     Modified from Kim KM & Lim S et al., IJC Metabolic & Endocrine 2014
Multifactorial factors of aging skeletal muscles
    • Physical activity                                         • Genetics
    • Nutrition                                                 • Hormones
                                                                • Low-grade
                                                                  inflammation

     • Fear of falling, psychological resilience, self-efficacy, loneliness

                                        [Journal of Cachexia, Sarcopenia and Muscle 2018; 9: 3–19
The concept is not SIMPLE!
Definitions
Term          Definition                                 Assessment
Sarcopenia    Loss of muscle mass                        DXA, MRI, CT, US, BIA,
                                                         Anthropometry(circumfere
                                                         nce)
Kratopenia    Loss of force (strength)                   Isometric(dynamometry)/Is
                                                         otonic
Dynapenia     Loss of power (force X velocity)           Walking speed/distance,
                                                         stair climbing, Jepsen hand
                                                         function
Frailty       Weight loss/weakness/fatigue/slow          CHS, FRAIL
              walking speed/low physical activity
Disability    Loss of activities of daily living(ADLs)   Katz ADLs, Barthel index
Locomotive    Sarcopenia+Osteoarthritis+Osteoporosis
syndrome
Dysmobility   Osteoporosis/Falls/Sarcopenia/Slow gait
syndrome      speed/Low grip strength/Obesity
The age-related loss of muscle strength is
weakly associated with the loss of muscle mass

                       [Delmonico MJ et al. Longitudinal study of muscle strength, quality,
                       and adipose tissue infiltration. Am J Clin Nutr. 2009; 90:1579]
Concepts of Words
Muscle Force
                          Muscle Quality
     Absolute
                          (Force/mass)
     Relative/BWt
                          Muscle Composition

        Muscle Power = Force X Velocity
Clinical importance of physical function
• Compared to muscle mass, “muscle function and physical
  performance” is associated more strongly with
   – Risk of falls and fractures
                                          J Bone Miner Res 2008;23:1037-44.
   – Mortality and disability                    Age Ageing 2010;39:412-23.

                                                  Lancet 2015; 386: 266–73.
Handgrip Force/Functional tests
Jamar                    Martin-
hydraulic                Vigorimeter
dynamometer              (pneumatic
                         dynamometer)

                                                                • Isometric
                                                                  assessment
                                                                • 16-20 kg(Women)
                                                                • 26-30 kg(Men)

 • Limitation of traditional assessments [grip strength(upper limb)/gait speed,
    TUG(lower limb)]
     –   Yes/no determinations
     –   Timing variability from tester subjectivity
     –   Requiring some level of disability to be considered abnormal
     –   Testing only single muscle group, low intensity, or simple tasks
                                                                  Osteoporos Int 2015;26:819-25.
                                            J Musculoskelet Neuronal Interact 2015; 15(4):301-308
Objective measurement of muscle function
              (Jumping Mechanography)
   • Quantification of individual anaerobe peak power output
   • Parameters: force, acceleration, power, counter movement, mass,
     Esslinger Fitness Index (E.F.I.), efficiency of movement, etc.

The jump was performed as a counter-
movement jump with freely moving arms, and
the subjects were instructed to jump as high as
possible with the head and chest. Subjects
jumped using both feet and landed on both feet.

                                                  [Buehring B et al. J Clin Densitom. 2010]
Korean Urban Rural Elderly (KURE) cohort

▪ Study Design
   ▪ Community-based, Cross-sectional study
▪ Study subjects
   ▪ healthy elderly aged 64 to 87 years from the Korean Urban
     Rural Elderly (KURE) cohort study, 2014~
▪ Assessment
   ▪ Bone mineral density by dual X-ray absorptiometry
   ▪ Skeletal muscle mass and index (kg/m2) by bioimpedence
   ▪ Muscle function by jumping mechanography[single 2-legged
     jumps, S2LJ]
   ▪ Vertebral fracture assessment
Lower migration out rate
Incorrect weight shifting while standing and turning

       Incorrect weight shifting while walking forward

                         Trip while walking and turning

                            Trip while walking forward

Loss of support with external object while sitting down
                                           Lancet 2013; 381: 47–54
Self-induced shifting of
                               body weight, causing
                               center of gravity to move
                               outside the base of support

Hip extension (gluteus
maximus, long-head of biceps
femoris..)
Knee extension (quadriceps
femoris)
Ankle plantarflexion
(gastrocnemius, soleus)
                                           Lancet 2013; 381: 47–54
Growing interest in assessing jump power in elderly
                                                                  “How much work
                                                                  can be done within a
                                                                  limited time?”

                                                                  f=ma; Δv=at
                                                                  distance = v x t

                                                                  Power = Work/t
                                                                        = f x d/t
                                                                        =fxv

                                                                  Strength
                                                                  ✓ Physiologically
                                                                     complex
                                                                  ✓ High intensity
                                                                  ✓ Reproducible &
                                                                     safe
                                                                  ✓ No learning
                                                                     effect
     Journal of Clinical Densitometry: Assessment of Skeletal Health, vol. 13, no. 3, 283e291, 2010
                               Osteoporos Int 2015; 26:819-25.; Eur J Appl Physiol 2001;84:206-12.
Osteoporosis and fracture prevalence
     according to muscle mass
    Osteoporosis at hip                     Vertebral fractures

                          Lee EY, Rhee Y et al., Calcif Tissue Int (2017) 100:585–594
Osteoporosis and fracture prevalence
     according to Pmax/mass
    Osteoporosis at hip                     Vertebral fractures

      Max. Peak Power                          Max. Peak Power

                          Lee EY, Rhee Y et al., Calcif Tissue Int (2017) 100:585–594
Regression analysis for vertebral
                   fracture
                                              Model1                                      Model2

                                     OR (95% CI)               P                OR (95% CI)                P

                 Quartile 1        1.06 (0.70-1.61)          0.770            0.66 (0.42-1.03)           0.068

                 Quartile 2        1.35 (0.90-2.02)          0.144            1.00 (0.66-1.53)           0.997
Muscle mass
by SMI      Quartile 3             1.24 (0.82-1.87)          0.301            1.04 (0.68-1.58)           0.883

                 Quartile 4        1.00 (reference)                           1.00 (reference)

                 Quartile 1        2.80 (1.79-4.36)
[Binkely N et al., Osteoporos Int. 2013 Dec;24(12):2955]
Dysmobility syndrome
• Calls for moving beyond simple concepts to
  focus on ‘elevated fracture risk’
• Identification of individuals at risk of impaired
  mobility, fractures, and falls
• Combination of
  – Sarcopenia                  “Unification of osteoporosis,
                                sarcopenia, and sarcopenic
  – Obesity                     obesity” like metabolic
  – Mobility impairment         syndrome in cardiovascular
                                field
  – Osteoporosis
                                     [Osteoporos Int. 2013 Dec;24(12):2955]
Dysmobility syndrome and mortality risk in US
   men and women age 50 years and older

                            [Osteoporos Int. 2015 Jan; 26(1): 93]
Prevalence of morphometric vertebral or
   nonvertebral fracture according to
          dysmobility scores
      50

               Nonvertebral fracture                        P for trend < 0.001 for all

               Morphometric vertebral fracture
               Any fracture
      40
      30
      20
      10
       0

           0             1              2          3             4          5 or 6
                              Number of dysmobility components

                                       Hong N et al., Archives of Osteoporosis 2018
Odds of any fracture or morphometric
vertebral fracture according to presence
       of dysmobility syndrome

                  Hong N et al., Archives of Osteoporosis 2018
Detection of dysmobility
    syndrome in post COVID-19 era

• Bunch of tests with direct contacts
• Frequent visit to hospital

                                                ?
• Limited extension
  (limited DXA machine)
• Difficulties in physical
  function testing…
                  DXA, BIA, handgrip strength, jump, etc….
POTENTIAL STRATEGY

CT-BASED OPPORTUNISTIC
SCREENING OF SARCOPENIA AND
DYSMOBILITY SYNDROME
Why CT-based opportunistic screening of dysmobility
     syndrome or sarcopenia in post COVID-19 era?

• Increased awareness of health
   – Increasing burden of sarcopenia and dysmobility syndrome in aged society
   – Early detection can lead to improvement of treatment outcome
• Untact
   – Diagnosis can be made solely on CT images taken for other clinical purposes
• Expandability
   – Korea: 25 CT scanners/million (next to US, JPN)
   – High accessibility; more than million scans worldwide; better than DXA
• Cost-effectiveness
   – Secondary use of ‘already taken’ image resources
   – Maximize the information gain from routine clinical CT
Skeletal muscle quality beyond mass
                   Skeletal muscle radiodensity (SMD,
                   muscle attenuation; HU)
                   • Indicator of myosteatosis
                   • Decreased HU: correlate with
                      ageing, poor physical function,
                      insulin resistance, and higher
                      intramyocellular TG contents

  SMA: 104.0 cm2               SMA: 107.0 cm2
  SMD: 43.0 HU                 SMD: 36.9 HU

                               Acta Physiol 2014, 210, 489–497
[Heewon Choi, Namki Hong, Narae Park, Yumie Rhee, SSBH, 2019]
Participants characteristics according
         to handgrip strength

                Choi HW, Hong N, Rhee Y, et al. Calcified tissue international
Independent association of SMD with
         low grip strength

               Choi HW, Hong N, Rhee Y, et al. Calcified tissue international
Age-related trajectory of (A) L3SMA, (B) SMI, (C)
    SMD, and (D) L1 trabecular attenuation
Prevalence of presarcopenia or
sarcopenia according to the age

  SMA (mass)        SMD (quality)
Comparison of discriminative performance of
               L3SMA, L3SMI and L3SMD for L1 trabecular
                        attenuation < 110 HU
                  1.00          P < 0.001

                  0.75
Sensitivity

                  0.50

                  0.25
                                                                   L3SMA: 0.6856
                                                                   L3SMI: 0.6825
                                                                   L3SMD: 0.8551
                                                                   Reference
                  0.00
                         0.00     0.25          0.50        0.75              1.00
                                            1-Specificity
3D Deep neural
network-based semi-
     automatic
   segmentation
서울시 인공지능
기술사업화 과제 2020
Diagnostic thresholds equivalent to
          standard diagnostic modalities

40 cm2/m2 and 35 cm2/m2 in men and women for defining sarcopenia

4.7 cm2/kg and 5.8 cm2/kg in men and women for high fat mass

                                            Yoon SH, Hong N et al., Submitted
Improved diagnostic performance for
sarcopenia and dysmobility syndrome

                     Yoon SH, Hong N et al., Submitted
FUTURE: AI-empowered, untact Fracture Liaison Service

Enhancing secondary prevention of fracture
                   https://capturethefracture.org/fracture-liaison-services
Thanks to Pf. Yumie Rhee,
                                                      KURE team, and Medical IP

    1Internal Medicine, Yonsei University College of Medicine, Seoul, Korea,
2Division of Endocrinology and Metabolism, Department, of Internal Medicine,
Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea,
Seoul, Republic of Korea, 3Internal Medicine, Seoul National University Bundang
    Hospital, Seongnam, Korea, 4Sociology, Yonsei University, Seoul, Korea,
  5Preventive Medicine, Yonsei University College of Medicine, Seoul, Korea

  6Department of Internal Medicine, National Health Insurance Service Ilsan

 Hospital, Goyang, Korea, 7Department of Endocrinology and Metabolism, Inha
                 University School of Medicine, Incheon, Korea
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