Effect of FDG-PET–based bone marrow assessment on prognostic accuracy compared to conventional histologic evaluation in patients with follicular lymphoma: A subanalysis of the FIL FOLL12 trial.
Abstract
7074 Background: Bone marrow biopsy (BMB) is an invasive staging procedure for follicular lymphoma (FL) and its results are needed to calculate FLIPI2 and PRIMA-PI scores. Beyond conventional biopsy bone marrow can also be assessed through FDG-PET bone staging (PETb). We report preliminary data on a comparison of BMB and PETb in assessing BM involvement among FL patients enrolled in the FIL-FOLL12 trial. Methods: Untreated stage II–IV FL patients requiring therapy were included. Patients were balanced according to treatment received and arm. BMBs were assessed by morphology and immunohistochemistry. PET/CT scans were reviewed by two expert nuclear medicine physicians. Pathological bone uptake (PETb+) was defined as mono- or multifocal, or diffuse FDG uptake in bone segments higher than liver activity (SUVmax). Results: This analysis included 179 patients; no significant differences in disease characteristics were observed between the revised cohort and the remaining patients enrolled in the FOLL12 trial. High-risk FLIPI2 was noted in 35.4%, and β2-microglobulin was increased in 53% of patients. BMB involvement was present in 58.5% (median infiltration 30%, range 0.5–95%). PETb was positive in 38 cases (21%), including 14% with focal or multifocal involvement and 7% with diffuse increased uptake. Concordant results between BMB and PETb were observed in 53.6%: among 103 BMB+ patients, 30 were PETb+ (29%). PETb identified BM involvement in 8 cases missed by BMB. While BMB+ was not associated with a different risk of PFS compared to BMB-, we observed a significant impact of PETb+ on PFS: PETb+ had 41% 5-year PFS (CI 25-72, p=0.003), while BMB+/PETb- showed 74% (CI 62-83, p=0.27) and BMB-/PETb- 66%(CI 52-72, reference).We then calculated FLIPI2 and PRIMA-PI using either conventional BMB or PETb to define BM involvement. The agreement between BMB and PETb scores was 87% for FLIPI2 and 67% for PRIMA-PI and the main disagreement was due to reallocation to lower risk groups; FLIPI2 0-2 patients raised from 65% to 74.3% according to FLIPI2-PET. FLIPI2 was confirmed prognostic for PFS and its c-Harrel increased from 0.582 to 0.602 when BMB was substituted with PETb (Table 1), with a 52% (CI 39-64) 5-Year PFS for conventional high risk FLIPI2 shifting to 41% (CI26-56) for high risk FLIPI2-PET. Conclusions: Although BMB detects marrow involvement in most patients, this does not uniformly translate into adverse prognosis. PETb, while less sensitive, identifies metabolically active and prognostically relevant bone disease. A FDG-PET-based assessment of bone involvement could refine risk stratification in FL and spare BMB in most patients Score HR for High risk CI c-Harrell FLIPI2 2.03 1.25-3.31 0.582 FLIPI2-PET 2.58 1.57-4.26 0.602 PRIMA-PI 1.23 0.67-2.23 0.537 PRIMA-PI-PET 1.47 0.85-2.54 0.550
Article Details
Journal Info
Journal of Clinical Oncology
Lippincott Williams & Wilkins
Authors (20)
Stefano Luminari
Azienda Unita Sanitaria Locale IRCCS of Reggio Emilia, Reggio Emilia, Italy
Giovanni Manfredi Assanto
2AUO Policlinico Umberto I, Sapienza University, Palliative and Domiciliar Care Unit, Rome, Italy
Luca Guerra
29Fondazione IRCCS San Gerardo dei Tintori, Monza, Italy
Luigi Marcheselli
Fondazione Italiana Linfomi Onlus, Modena, Italy
Elizabeth Katherine Anna Triumbari
Medipass Ergéa Group, Unità di Medicina Nucleare Fondazione Campus Bio-Medico, Roma, Italy
Rexhep Durmo
Elisa Genuardi
University of Turin, Turin, Italy
Maria Elena Nizzoli
1Azienda USL IRCCS of Reggio Emilia, Reggio Emilia, Italy
Carola Boccomini
Azienda Ospedaliero–Universitaria Città della Salute e della Scienza di Torino, Turin, Italy
Benedetta Puccini
10Department of Haematology, University of Florence, Florence, Italy
Alessandro Pulsoni
Sapienza University of Rome, Rome
Vincenzo Pavone
28Cardinal Panico Hospital, Tricase, Italy
Annalisa Arcari
11Hematology Unit, Ospedale Guglielmo da Saliceto, Piacenza, Italy
Annarita Conconi
10Azienda sanitaria locale, Ematologia, Ospedale degli Infermi, Biella, Italy
Marco Ladetto
1University of Eastern Piedmont, Department of Translational Medicine, Novara, Italy
Sara Galimberti
14Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
Ilaria Del Giudice
Sapienza University of Rome, Rome
Massimo Federico
10CHIMOMO Department, University of Modena and Reggio Emilia, Modena, Italy
Stephane Chauvie
2Santa Croce e Carle General Hospital, Cuneo, Italy
Simone Ferrero
University of Turin, Turin, Italy