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Automated assessment of regional muscle volume and hypertrophy using MRI

Mandić, Mirko (author)
Karolinska Institutet,Karolinska Institutet, Sweden; Karolinska University Hospital, Sweden
Rullman, Eric (author)
Karolinska Institutet,Karolinska Institutet, Sweden; Karolinska University Hospital, Sweden
Widholm, Per (author)
Linköpings universitet,Avdelningen för diagnostik och specialistmedicin,Medicinska fakulteten,Region Östergötland, Röntgenkliniken i Linköping,AMRA Medical AB, Sweden
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Lilja, Mats (author)
Karolinska Institutet, Sweden; Karolinska University Hospital, Sweden
Dahlqvist Leinhard, Olof, 1978- (author)
Linköpings universitet,Avdelningen för diagnostik och specialistmedicin,Medicinska fakulteten,Region Östergötland, Röntgenkliniken i Linköping,Region Östergötland, Medicinsk strålningsfysik,AMRA Medical AB, Sweden
Gustafsson, Thomas (author)
Karolinska Institutet,Karolinska Institutet, Sweden; Karolinska University Hospital, Sweden
Lundberg, Tommy R. (author)
Karolinska Institutet,Institutet, Sweden; Karolinska University Hospital, Sweden
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 (creator_code:org_t)
2020-02-10
2020
English.
In: Scientific Reports. - : Nature Publishing Group. - 2045-2322. ; 10:1
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • This study aimed to validate a fully automatic method to quantify knee-extensor muscle volume and exercise-induced hypertrophy. By using a magnetic resonance imaging-based fat-water separated two-point Dixon sequence, the agreement between automated and manual segmentation of a specific ~15-cm region (partial volume) of the quadriceps muscle was assessed. We then explored the sensitivity of the automated technique to detect changes in both complete and partial quadriceps volume in response to 8 weeks of resistance training in 26 healthy men and women. There was a very strong correlation (r = 0.98, P < 0.0001) between the manual and automated method for assessing partial quadriceps volume, yet the volume was 9.6% greater with automated compared with manual analysis (P < 0.0001, 95% limits of agreement -93.3 ± 137.8 cm3). Partial muscle volume showed a 6.0 ± 5.0% (manual) and 4.8 ± 8.3% (automated) increase with training (P < 0.0001). Similarly, the complete quadriceps increased 5.1 ± 5.5% with training (P < 0.0001). The intramuscular fat proportion decreased (P < 0.001) from 4.1% to 3.9% after training. In conclusion, the automated method showed excellent correlation with manual segmentation and could detect clinically relevant magnitudes of exercise-induced muscle hypertrophy. This method could have broad application to accurately measure muscle mass in sports or to monitor clinical conditions associated with muscle wasting and fat infiltration.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Radiologi och bildbehandling (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Radiology, Nuclear Medicine and Medical Imaging (hsv//eng)

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