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Proposal for a Quantitative 18F-FDG PET/CT Metabolic Parameter to Assess the Intensity of Bone Involvement in Multiple Myeloma.
Takahashi, Maria E S; Mosci, Camila; Souza, Edna M; Brunetto, Sérgio Q; Etchebehere, Elba; Santos, Allan O; Camacho, Mariana R; Miranda, Eliana; Lima, Mariana C L; Amorim, Barbara J; de Souza, Carmino; Pericole, Fernando V; Lorand-Metze, Irene; Ramos, Celso D.
Afiliación
  • Takahashi MES; School of Medical Sciences, University of Campinas, Campinas, Brazil.
  • Mosci C; Gleb Wataghin Physics Institute, University of Campinas, Campinas, Brazil.
  • Souza EM; Division of Nuclear Medicine, University of Campinas, Campinas, Brazil.
  • Brunetto SQ; Division of Nuclear Medicine, University of Campinas, Campinas, Brazil.
  • Etchebehere E; Center of Biomedical Engineering, University of Campinas, Campinas, Brazil.
  • Santos AO; Division of Nuclear Medicine, University of Campinas, Campinas, Brazil.
  • Camacho MR; Center of Biomedical Engineering, University of Campinas, Campinas, Brazil.
  • Miranda E; Division of Nuclear Medicine, University of Campinas, Campinas, Brazil.
  • Lima MCL; Division of Nuclear Medicine, University of Campinas, Campinas, Brazil.
  • Amorim BJ; School of Medical Sciences, University of Campinas, Campinas, Brazil.
  • de Souza C; Division of Nuclear Medicine, University of Campinas, Campinas, Brazil.
  • Pericole FV; Center of Hematology and Hemotherapy, University of Campinas, Campinas, Brazil.
  • Lorand-Metze I; Division of Nuclear Medicine, University of Campinas, Campinas, Brazil.
  • Ramos CD; Division of Nuclear Medicine, University of Campinas, Campinas, Brazil.
Sci Rep ; 9(1): 16429, 2019 Nov 11.
Article en En | MEDLINE | ID: mdl-31712729
ABSTRACT
Many efforts have been made to standardize the interpretation of 18F-FDG PET/CT in multiple myeloma (MM) with qualitative visual analysis or with quantitative metabolic parameters using various methods for lesion segmentation of PET images. The aim of this study was to propose a quantitative method for bone and bone marrow evaluation of 18F-FDG PET/CT considering the extent and intensity of bone 18F-FDG uptake Intensity of Bone Involvement (IBI). Whole body 18F-FDG PET/CT of 59 consecutive MM patients were evaluated. Compact bone tissue was segmented in PET images using a global threshold for HU of the registered CT image. A whole skeleton mask was created and the percentage of its volume with 18F-FDG uptake above hepatic uptake was calculated (Percentage of Bone Involvement - PBI). IBI was defined by multiplying PBI by mean SUV above hepatic uptake. IBI was compared with visual analysis performed by two experienced nuclear medicine physicians. IBI calculation was feasible in all images (range0.00-1.35). Visual analysis categorized PET exams into three groups (negative/mild, moderate and marked bone involvement), that had different ranges of IBI (multi comparison analysis, p < 0.0001). There was an inverse correlation between the patients' hemoglobin values and IBI (r = -0.248;p = 0.02). IBI score is an objective measure of bone and bone marrow involvement in MM, allowing the categorization of patients in different degrees of aggressiveness of the bone disease. The next step is to validate IBI in a larger group of patients, before and after treatment and in a multicentre setting.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Huesos / Fluorodesoxiglucosa F18 / Tomografía Computarizada por Tomografía de Emisión de Positrones / Mieloma Múltiple Tipo de estudio: Qualitative_research Límite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Sci Rep Año: 2019 Tipo del documento: Article País de afiliación: Brasil

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Huesos / Fluorodesoxiglucosa F18 / Tomografía Computarizada por Tomografía de Emisión de Positrones / Mieloma Múltiple Tipo de estudio: Qualitative_research Límite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Sci Rep Año: 2019 Tipo del documento: Article País de afiliación: Brasil