Lean Body Mass and Body Surface Area Corrections for Intensity Bone Involvement (IBI) Index in Patients with Multiple Myeloma
DOI:
https://doi.org/10.29384/rbfm.2024.v18.19849001754Keywords:
18F-FDG PET/CT, multiple myeloma, lean body mass, body surface area, IBIAbstract
Intensity Bone Involvement (IBI) parameter is used to quantify the bone involvement in PET/CT images, making the analysis of these images more objective and reproducible. This study presents a proposal to apply the IBI mathematical correction for lean body mass and body surface area in 18F-FDG PET/CT images of patients diagnosed with multiple myeloma (MM) and to verify its respective relation with the visual analysis of these images. Methods: James and Janma models were used to calculate the lean body mass and DuBois model was used to calculate the body surface area. We compared standard IBI and its corrected values with clinical visual classification using the Kruskal-Wallis test with Dunn’s post-hoc test and the Cox proportional hazards regression analysis to test its association with the patients’ overall survival. Statistical significance was considered for p-values <0.05. Results: There was a positive relation between both IBI standard value and its corrected values with the visual analysis of the images. There were no statistically significant associations between the IBI values and patients’ overall survival. Conclusions: Corrected IBI showed the same performance as the standard IBI regarding the visual classification of images. However, IBI values (both standard and its corrections) were not associated with the patients’ survival (OS) in our study.
Downloads
References
Palumbo A, Anderson K. Multiple myeloma. N Engl J Med. 2011;364(11):1046-60.
Jamet B, Bailly C, Carlier T, Touzeau C, Nanni C, Zamagni E, et al. Interest of Pet Imaging in Multiple Myeloma. Front Med (Lausanne). 2019; 6:69.
Panaroni C, Yee AJ, Raje NS. Myeloma and Bone Disease. Curr Osteoporos Rep. 2017; 15(5):483-98.
Zamagni E, Cavo M, Fakhri B, Vij R, Roodman D. Bones in Multiple Myeloma: Imaging and Therapy. Am Soc Clin Oncol Educ Book. 2018;38:638-46.
Cavo M, Terpos E, Nanni C, Moreau P, Lentzsch S, Zweegman S, et al. Role of 18F-FDG PET/CT in the diagnosis and management of multiple myeloma and other plasma cell disorders: a consensus statement by the International Myeloma Working Group. Lancet Oncol. 2017;18(4):e206-e17.
Takahashi MES, Mosci C, Souza EM, Brunetto SQ, Etchebehere E, Santos AO, et al. Proposal for a Quantitative 18F-FDG PET/CT Metabolic Parameter to Assess the Intensity of Bone Involvement in Multiple Myeloma. Sci Rep. 2019;9(1):16429.
Adams MC, Turkington TG, Wilson JM, Wong TZ. A systematic review of the factors affecting accuracy of SUV measurements. AJR Am J Roentgenol. 2010;195(2):310-20.
Zhao J, Xue Q, Chen X, You Z, Wang Z, Yuan J, et al. Evaluation of SUVlean consistency in FDG and PSMA PET/MR with Dixon-, James-, and Janma-based lean body mass correction. EJNMMI Phys. 2021;8(1):17.
Sugawara Y, Zasadny KR, Neuhoff AW, Wahl RL. Reevaluation of the standardized uptake value for FDG: variations with body weight and methods for correction. Radiology. 1999;213(2):521-5.
Takahashi ME, Mosci C, Souza EM, Brunetto SQ, de Souza C, Pericole FV, Ramos CD. Computed tomography–based skeletal segmentation for quantitative PET metrics of bone involvement in multiple myeloma. Nuclear medicine communications. 2020;41(4):377.
da Cunha Júnior AD, Silveira MN, Takahashi MES, de Souza EM, Mosci C, Ramos CD, Carvalheira JBC, et al. Visceral adipose tissue glucose uptake is linked to prognosis in multiple
myeloma patients: An exploratory study. Clinical Nutrition. 2021; 40(6):4075-84.
Takahashi MES, Mosci C, Duarte GO, Pericole FV, Metze K, Lorand-Metze IG, Ramos CD. Intensity of bone involvement: A quantitative 18F-FDG PET/CT evaluation for monitoring outcome of multiple myeloma. Nuclear medicine communications. 2021; 42(12):1375-81.
James, William Philip Trehearne, and J. C. Waterlow. Research on obesity: a report of the DHSS/MRC group. HM Stationery Office, 1976.
Janmahasatian S, Duffull SB, Ash S, Ward LC, Byrne NM, Green B. Quantification of lean bodyweight. Clin Pharmacokinet. 2005;44(10):1051-65.
Kim CK, Gupta NC, Chandramouli B, Alavi A. Standardized uptake values of FDG: body surface area correction is preferable to body weight correction. J Nucl Med. 1994;35(1):164-7.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Giovanna Monteiro Bianchi J. Santos, Maria Emilia Seren Takahashi, Camila Mosci, Stephan P. M. Souza, Carmino Antonio de Souza , Irene G. H. Lorand-Metze, José Barreto Campello Carvalheira, Celso Darío Ramos
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
The submission of original articles to the Brazilian Journal of Medical Physics implies the transfer, by the authors, of the rights of print and digital publication. Copyright for published articles remains with the author, with journal rights on first publication. Authors may only use the same results in other publications by clearly indicating this journal as the original publisher. As we are an open access journal, free use of articles in educational, scientific, non-commercial applications is allowed, as long as the source is cited.
The Brazilian Journal of Medical Physics is under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0).