Computed tomography-derived assessments of regional muscle volume : Validating their use as predictors of whole body muscle volume in cancer patients
Evaluate the accuracy of CT-derived regional skeletal muscle volume (SMV) measurements to predict whole body SMV in patients with melanoma.
148 patients with advanced melanoma who underwent whole body positron emission tomography/CT were studied. Whole body SMV was measured on CT and used as the reference standard. CT-derived regional measures of SMV were obtained in the thorax, abdomen, pelvis, and lower limbs. Models were developed on a discovery cohort (n-98), using linear regression to model whole body SMV as a function of each regional measure, and clinical factors. Predictive performance of the derived models was evaluated in a validation cohort (n = 50) by estimating the explained variation (R2) of each model.
In the discovery cohort, all regional SMV measurements were significantly associated with whole body SMV [β1 range: 0.673-1.153, all p < 0.001)]. The magnitude of association was greatest for pelvic regional measurements {β = 1.153, [95% confidence interval (0.989, 1.317)]}. Prediction algorithms incorporating clinical variables and regional SMVs were developed to estimate whole body SMV from regional assessments. Using the validation cohort to predict whole body SMV, the R2 values for the pelvic, abdominal and thoracic regional measurements were 0.89, 0.86, 0.78.
Regional measures of SMV are strong predictors of whole body SMV in patients with advanced melanoma.
The first study utilizing whole body imaging as a reference standard validating the use of regional SMVs in cancer patients, including validating the use of regional SMVs outside of traditionally assessed areas.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2018 |
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| Erschienen: |
2018 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:91 |
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| Enthalten in: |
The British journal of radiology - 91(2018), 1092 vom: 21. Dez., Seite 20180451 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Halpenny, Darragh F [VerfasserIn] |
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| Anmerkungen: |
Date Completed 11.12.2018 Date Revised 25.02.2020 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1259/bjr.20180451 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM288167023 |
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| 100 | 1 | |a Halpenny, Darragh F |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Computed tomography-derived assessments of regional muscle volume |b Validating their use as predictors of whole body muscle volume in cancer patients |
| 264 | 1 | |c 2018 | |
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| 500 | |a Date Revised 25.02.2020 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a OBJECTIVE:: Evaluate the accuracy of CT-derived regional skeletal muscle volume (SMV) measurements to predict whole body SMV in patients with melanoma | ||
| 520 | |a METHODS:: 148 patients with advanced melanoma who underwent whole body positron emission tomography/CT were studied. Whole body SMV was measured on CT and used as the reference standard. CT-derived regional measures of SMV were obtained in the thorax, abdomen, pelvis, and lower limbs. Models were developed on a discovery cohort (n-98), using linear regression to model whole body SMV as a function of each regional measure, and clinical factors. Predictive performance of the derived models was evaluated in a validation cohort (n = 50) by estimating the explained variation (R2) of each model | ||
| 520 | |a RESULTS:: In the discovery cohort, all regional SMV measurements were significantly associated with whole body SMV [β1 range: 0.673-1.153, all p < 0.001)]. The magnitude of association was greatest for pelvic regional measurements {β = 1.153, [95% confidence interval (0.989, 1.317)]}. Prediction algorithms incorporating clinical variables and regional SMVs were developed to estimate whole body SMV from regional assessments. Using the validation cohort to predict whole body SMV, the R2 values for the pelvic, abdominal and thoracic regional measurements were 0.89, 0.86, 0.78 | ||
| 520 | |a CONCLUSION:: Regional measures of SMV are strong predictors of whole body SMV in patients with advanced melanoma | ||
| 520 | |a ADVANCES IN KNOWLEDGE:: The first study utilizing whole body imaging as a reference standard validating the use of regional SMVs in cancer patients, including validating the use of regional SMVs outside of traditionally assessed areas | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Validation Study | |
| 700 | 1 | |a Goncalves, Marcus |e verfasserin |4 aut | |
| 700 | 1 | |a Schwitzer, Emily |e verfasserin |4 aut | |
| 700 | 1 | |a Golia Pernicka, Jennifer |e verfasserin |4 aut | |
| 700 | 1 | |a Jackson, Jasmyne |e verfasserin |4 aut | |
| 700 | 1 | |a Gandelman, Stephanie |e verfasserin |4 aut | |
| 700 | 1 | |a Moskowitz, Chaya S |e verfasserin |4 aut | |
| 700 | 1 | |a Postow, Michael |e verfasserin |4 aut | |
| 700 | 1 | |a Mourtzakis, Marina |e verfasserin |4 aut | |
| 700 | 1 | |a Caan, Bette |e verfasserin |4 aut | |
| 700 | 1 | |a Jones, Lee W |e verfasserin |4 aut | |
| 700 | 1 | |a Plodkowski, Andrew J |e verfasserin |4 aut | |
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