Abstract
Objectives
To evaluate the correlation between psoas muscle area (TPA) on CT images and pectoralis muscle area (PMA) on MRI in breast cancer patients.
Methods
This retrospective study was institutional review board approved and women involved gave written informed consent. Twenty six patients with both body CT and breast MRI available were evaluated. Two radiologists calculated TPA on 1.25-mm and 5-mm body CT images. Two radiologists measured PMA on axial T1-weighted images. Statistical analysis included inter- and intra-reader agreement and correlation between TPA on CT and PMA on MRI.
Results
The Pearson r correlation coefficient was 0.70 (95% CI 0.41–0.81) and the coefficient of determination was 0.49. The inter-reader agreement was k = 0.85 and k = 0.79 for axial 1.25-mm and 5-mm CT images, respectively. The intra-reader agreement of reader 1 was k = 0.98 and k = 0.94 for 1.25-mm and 5-mm CT images, respectively. The intra-reader agreement of reader 2 was k = 0.95 and k = 0.94 for 1.25-mm and 5-mm CT images, respectively. On axial T1-weighted images, the inter-reader agreement for radiologists evaluating the PMA was k = 0.61. Intra-observer agreement of reader 1 and reader 2 for PMA estimation was good (0.62 and 0.64), respectively.
Conclusion
The correlation between TPA on CT images and PMA on MRI was very good. Pectoralis muscle area on breast MRI could be useful to estimate muscle mass in women with breast cancer.
Key Points
• Pectoralis muscle area can be estimated on breast MRI
• Total psoas area on CT and pectoralis muscle area on MRI are strongly correlated
• Pectoralis muscle area on breast MRI could estimate the skeletal muscle mass
Similar content being viewed by others
Abbreviations
- ACS:
-
American Cancer Society
- CT:
-
Computer tomography
- EUSOBI:
-
European Society of Breast Imaging
- MRI:
-
Magnetic resonance imaging
- NCCN:
-
National Comprehensive Cancer Network
- PMA:
-
Pectoralis muscle area
- TPA:
-
Total psoas area
References
Baumgartner RN, Koehler KM, Gallagher D et al (1998) Epidemiology of sarcopenia among the elderly in New Mexico. Am J Epidemiol 147:755–763
Muscaritoli M, Anker SD, Argilés J et al (2010) Consensus definition of sarcopenia, cachexia and pre-cachexia: joint document elaborated by special interest groups (SIG) “cachexia-anorexia in chronic wasting diseases” and “nutrition in geriatrics”. Clin Nutr 29:154–159
Torre LA, Bray F, Siegel RL, Ferlay J, Lortet-Tieulent J, Jemal A (2015) Global cancer statistics, 2012. CA Cancer J Clin 65:87–108
Stewart B, Wild CP (2014) World cancer report 2014. World Health Organization, Geneva. http://publications.iarc.fr/Non-Series-Publications/World-Cancer-Reports/World-Cancer-Report-2014. Accessed 26 Oct 2017
Del Fabbro E, Parsons H, Warneke CL et al (2012) The relationship between body composition and response to neoadjuvant chemotherapy in women with operable breast cancer. Oncologist 17:1240–1245
Prado CM, Baracos VE, McCargar LJ et al (2009) Sarcopenia as a determinant of chemotherapy toxicity and time to tumor progression in metastatic breast cancer patients receiving capecitabine treatment. Clin Cancer Res 15:2920–2926
Deluche E, Leobon S, Desport JC, Venat-Bouvet L, Usseglio J, Tubiana-Mathieu N (2018) Impact of body composition on outcome in patients with early breast cancer. Support Care Cancer 26:861–868
Klassen O, Schmidt ME, Ulrich CM et al (2017) Muscle strength in breast cancer patients receiving different treatment regimes. J Cachexia Sarcopenia Muscle 8:305–316
Villaseñor A, Ballard-Barbash R, Baumgartner K et al (2012) Prevalence and prognostic effect of sarcopenia in breast cancer survivors: the HEAL study. J Cancer Surviv 6:398–406
Shen W, Punyanitya M, Wang Z et al (1985) Total body skeletal muscle and adipose tissue volumes: estimation from a single abdominal cross-sectional image. J Appl Physiol 1985:2333e8
Jones KI, Doleman B, Scott S, Lund JN, Williams JP (2015) Simple psoas cross-sectional area measurement is a quick and easy method to assess sarcopenia and predicts major surgical complications. Colorectal Dis 17:20–26
Senkus E, Kyriakides S, Ohno S et al (2015) Primary breast cancer: ESMO clinical practice guidelines for diagnosis, treatment and follow-up. Ann Oncol 5:8–30
Gilbert FJ, Selamoglu A (2018) Personalised screening: is this the way forward? Clin Radiol 73:327–333
Kinsey CM, San José Estépar R, van der Velden J, Cole BF, Christiani DC, Washko GR (2017) Lower pectoralis muscle area is associated with a worse overall survival in non-small cell lung cancer. Cancer Epidemiol Biomarkers Prev 26:38–43
Go SI, Park MJ, Song HN et al (2017) A comparison of pectoralis versus lumbar skeletal muscle indices for defining sarcopenia in diffuse large B-cell lymphoma - two are better than one. Oncotarget 8:47007–47019
Bland JM, Altman DG (2003) Applying the right statistics: analyses of measurement studies. Ultrasound Obstet Gynecol 22:85–93
Landis JR, Koch GG (1977) The measurement of observer agreement for categorical data. Biometrics 33:159–174
Bland JM, Altman DG (1996) Measurement error proportional to the mean. BMJ 313:106
Bland JM, Altman DG (1996) Measurement error. BMJ 313:744
Furtner J, Berghoff AS, Albtoush OM et al (2017) Survival prediction using temporal muscle thickness measurements on cranial magnetic resonance images in patients with newly diagnosed brain metastases. Eur Radiol 27:3167–3173
Rier HN, Jager A, Sleijfer S, van Rosmalen J, Kock MCJM, Levin MD (2017) Low muscle attenuation is a prognostic factor for survival in metastatic breast cancer patients treated with first line palliative chemotherapy. Breast 31:9–15
Mann RM, Balleyguier C, Baltzer PA et al (2015) Breast MRI: EUSOBI recommendations for women’s information. Eur Radiol 25:3669–3678
Strigel RM, Rollenhagen J, Burnside ES et al (2017) Screening breast MRI outcomes in routine clinical practice: comparison to BI-RADS benchmarks. Acad Radiol 24:411–417
Saslow D, Boetes C, Burke W et al (2007) American Cancer Society guidelines for breast screening with MRI as an adjunct to mammography. CA Cancer J Clin 57:75–89
Warner E, Messersmith H, Causer P, Eisen A, Shumak R, Plewes D (2008) Systematic review: using magnetic resonance imaging to screen women at high risk for breast cancer. Ann Intern Med 148:671–679
Sardanelli F, Podo F, Santoro F et al (2011) High Breast Cancer Risk Italian 1 (HIBCRIT-1) Study (2011) Multicenter surveillance of women at high genetic breast cancer risk using mammography, ultrasonography, and contrast-enhanced magnetic resonance imaging (the high breast cancer risk Italian 1 study): final results. Invest Radiol 46:94–105
Lehman CD, Lee JM, DeMartini WB et al (2016) Screening MRI in women with a personal history of breast cancer. J Natl Cancer Inst. https://doi.org/10.1093/jnci/djv349
Boutin RD, Kaptuch JM, Bateni CP, Chalfant JS, Yao L (2016) Influence of IV contrast administration on CT measures of muscle and bone attenuation: implications for sarcopenia and osteoporosis evaluation. AJR Am J Roentgenol 207:1046–1054
Funding
The authors state that this work has not received any funding.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Guarantor
The scientific guarantor of this publication is Alberto Stefano Tagliafico.
Conflict of interest
The authors of this manuscript declare no relationships with any companies whose products or services may be related to the subject matter of the article.
Statistics and biometry
One of the authors has significant statistical expertise.
Informed consent
Written informed consent was obtained from all subjects (patients) in this study.
Ethical approval
Institutional review board approval was obtained.
Methodology
• retrospective
• cross-sectional study
• performed at one institution
Rights and permissions
About this article
Cite this article
Rossi, F., Valdora, F., Barabino, E. et al. Muscle mass estimation on breast magnetic resonance imaging in breast cancer patients: comparison between psoas muscle area on computer tomography and pectoralis muscle area on MRI. Eur Radiol 29, 494–500 (2019). https://doi.org/10.1007/s00330-018-5663-0
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00330-018-5663-0