Computed tomography–based skeletal segmentation for quantitative PET metrics of bone involvement in multiple myeloma
| Autor: | S.Q. Brunetto, Camila Mosci, Fernando V Pericole, Edna Marina de Souza, Maria Emilia Seren Takahashi, Irene Lorand-Metze, Celso Dario Ramos, Carmino Antonio De Souza |
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| Přispěvatelé: | UNIVERSIDADE ESTADUAL DE CAMPINAS |
| Rok vydání: | 2020 |
| Předmět: |
Male
Tomografia Computed tomography bone segmentation Bone tissue Bone and Bones 030218 nuclear medicine & medical imaging Mieloma múltiplo 03 medical and health sciences 0302 clinical medicine Fluorodeoxyglucose F18 Multiple myeloma Positron Emission Tomography Computed Tomography Image Processing Computer-Assisted Ossos medicine Humans Artigo original Whole Body Imaging Radiology Nuclear Medicine and imaging In patient Segmentation Tomography Bones Fluorine-18-fluorodeoxyglucose medicine.diagnostic_test Tomografia por emissão de pósitrons business.industry standardized uptake values Bone segmentation Original Articles General Medicine Odds ratio Middle Aged medicine.disease Confidence interval multiple myeloma Standardized uptake values medicine.anatomical_structure 030220 oncology & carcinogenesis Female Positron-emission tomography business Nuclear medicine Fluorine 18 fluorodeoxyglucose fluorine 18 fluorodeoxyglucose PET/computed tomography |
| Zdroj: | Repositório da Produção Científica e Intelectual da Unicamp Universidade Estadual de Campinas (UNICAMP) instacron:UNICAMP Repositório Institucional da Unicamp Nuclear Medicine Communications |
| ISSN: | 0143-3636 |
| DOI: | 10.1097/mnm.0000000000001165 |
| Popis: | Agradecimentos: The authors would like to thank the Nuclear and Energy Research Institute (IPEN-CNEN), São Paulo, Brazil, for supplying the radiopharmaceuticals used in the present project (IPEN/UNICAMP agreement No. 01342000458/2017-15). The authors are grateful for the financial support from FAPESP (Fundação de Amparo à Pesquisa do Estado de São Paulo), grant numbers 2009/54065-0 and 2018/00654-4 Abstract: Purpose: Quantifications in nuclear medicine are occasionally limited by the lack of standardization for defining volumes of interest (VOIs) on functional images. In the present article, we propose the use of computed tomography (CT)-based skeletal segmentation to determine anatomically the VOI in order to calculate quantitative parameters of fluorine 18 fluorodeoxyglucose (F-18-FDG) PET/CT images from patients with multiple myeloma. Methods: We evaluated 101 whole-body F-18-FDG PET/CTs of 58 patients with multiple myeloma. An initial subjective visual analysis of the PET images was used to classify the bone involvement as negative/mild, moderate, or marked. Then, a fully automated CT-based segmentation of the skeleton was performed on PET images. The maximum, mean, and SD of the standardized uptake values (SUVmax, SUVmean, and SDSUV) were calculated for bone tissue and compared with the visual analysis. Results: Forty-five (44.5%), 32 (31.7%), and 24 (23.8%) PET images were, respectively, classified as negative/mild, moderate, or marked bone involvement. All quantitative parameters were significantly related to the visual assessment of bone involvement. This association was stronger for the SUVmean [odds ratio (OR): 10.52 (95% confidence interval (CI), 5.68-19.48); P < 0.0001] and for the SDSUV [OR: 5.58 (95% CI, 3.31-9.42); P < 0.001) than for the SUVmax [OR: 1.01 (95% CI, 1.003-1.022); P = 0.003]. Conclusion: CT-based skeletal segmentation allows for automated and therefore reproducible calculation of PET quantitative parameters of bone involvement in patients with multiple myeloma. Using this method, the SUVmean and its respective SD correlated better with the visual analysis of F-18-FDG PET images than SUVmax. Its value in staging and evaluating therapy response needs to be evaluated FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULO - FAPESP Fechado |
| Databáze: | OpenAIRE |
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