| Autor: |
A, Paschali, E, Panagiotidis, T, Triantafyllou, V, Palaska, K, Tsirou, E, Verrou, E, Υiannaki, D, Markala, A, Papanikolaou, A, Pouli, P, Konstantinidou, V, Chatzipavlidou, E, Terpos, E, Katodritou |
| Rok vydání: |
2020 |
| Předmět: |
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| Zdroj: |
European journal of nuclear medicine and molecular imaging. 48(5) |
| ISSN: |
1619-7089 |
| Popis: |
The investigation of a semi-quantitative index in the pelvis to assess for diffuse bone marrow (BM) [18F]-FDG uptake and the investigation of PET skeletal patterns in multiple myeloma (MM) patients, in accordance with prognostic markers, clonal plasma cell (cPC) morphology, and response to therapy.We prospectively analyzed [18F]-FDG PET/CT in 90 MM patients (newly diagnosed, 60; relapsed/refractory, 30). Among other PET/CT parameters, we calculated the ratio SUVmax pelvis/liver and examined for correlations with known MM prognostic parameters, cPC morphology (good vs. low/intermediate differentiation), and response to therapy.SUVmax pelvis/liver ratio was significantly lower for the group of good differentiation vs. intermediate/low differentiation cPCs (p 0.001) and showed a positive correlation with BM infiltration rate, β2 microglobulin, serum ferritin, international staging system (ISS), and revised ISS; no significant correlation was found with hemoglobin. A cutoff value of 1.1 showed an excellent specificity (99%) and high sensitivity (76%) for diffuse BM involvement (AUC 0.94; p 0.001). Mixed pattern and appendicular involvement correlated with poor prognostic features while normal pattern, found in 30% of patients, correlated with good prognostic features. Presence of ≥ 10 focal lesions negatively predicted for overall response (p 0.05; OR 4.8). The CT component improved the diagnostic performance of PET.This study showed, for the first time, that cPC morphology and markers related with MM biology, correlate with SUVmax pelvis/liver index, which could be used as a surrogate marker for BM assessment and disease prognosis; PET patterns correlate with MM prognostic features and response rates. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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