Literature DB >> 33099659

A proposed index of diffuse bone marrow [18F]-FDG uptake and PET skeletal patterns correlate with myeloma prognostic markers, plasma cell morphology, and response to therapy.

A Paschali1, E Panagiotidis2, T Triantafyllou3, V Palaska3, K Tsirou3, E Verrou3, E Υiannaki4, D Markala4, A Papanikolaou5, A Pouli6, P Konstantinidou3, V Chatzipavlidou2, E Terpos7, E Katodritou3.   

Abstract

PURPOSE: 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.
METHODS: 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.
RESULTS: 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.
CONCLUSION: 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.

Entities:  

Keywords:  Multiple myeloma; PET/CT; Plasma cell morphology; Prognostic markers; [18F]-FDG

Mesh:

Substances:

Year:  2020        PMID: 33099659     DOI: 10.1007/s00259-020-05078-1

Source DB:  PubMed          Journal:  Eur J Nucl Med Mol Imaging        ISSN: 1619-7070            Impact factor:   9.236


  27 in total

1.  Utility and prognostic value of 18 F-FDG positron emission tomography-computed tomography scans in patients with newly diagnosed multiple myeloma.

Authors:  Mohammed A Aljama; M Hasib Sidiqi; Francis K Buadi; Martha Q Lacy; Morie A Gertz; Angela Dispenzieri; David Dingli; Eli Muchtar; Amie L Fonder; Suzanne R Hayman; Miriam A Hobbs; Wilson I Gonsalves; Rahma M Warsame; Taxiarchis Kourelis; Yi Lisa Hwa; Prashant Kapoor; Robert A Kyle; Nelson Leung; Ronald S Go; S Vincent Rajkumar; Shaji K Kumar
Journal:  Am J Hematol       Date:  2018-10-02       Impact factor: 10.047

2.  Recommendations for initial evaluation, staging, and response assessment of Hodgkin and non-Hodgkin lymphoma: the Lugano classification.

Authors:  Bruce D Cheson; Richard I Fisher; Sally F Barrington; Franco Cavalli; Lawrence H Schwartz; Emanuele Zucca; T Andrew Lister
Journal:  J Clin Oncol       Date:  2014-09-20       Impact factor: 44.544

3.  Plasmablastic morphology is an independent predictor of poor survival after autologous stem-cell transplantation for multiple myeloma.

Authors:  S V Rajkumar; R Fonseca; M Q Lacy; T E Witzig; T M Therneau; R A Kyle; M R Litzow; M A Gertz; P R Greipp
Journal:  J Clin Oncol       Date:  1999-05       Impact factor: 44.544

4.  Prognostic relevance of 18-F FDG PET/CT in newly diagnosed multiple myeloma patients treated with up-front autologous transplantation.

Authors:  Elena Zamagni; Francesca Patriarca; Cristina Nanni; Beatrice Zannetti; Emanuela Englaro; Annalisa Pezzi; Paola Tacchetti; Silvia Buttignol; Giulia Perrone; Annamaria Brioli; Lucia Pantani; Carolina Terragna; Francesca Carobolante; Michele Baccarani; Renato Fanin; Stefano Fanti; Michele Cavo
Journal:  Blood       Date:  2011-09-06       Impact factor: 22.113

5.  Prospective Evaluation of Magnetic Resonance Imaging and [18F]Fluorodeoxyglucose Positron Emission Tomography-Computed Tomography at Diagnosis and Before Maintenance Therapy in Symptomatic Patients With Multiple Myeloma Included in the IFM/DFCI 2009 Trial: Results of the IMAJEM Study.

Authors:  Philippe Moreau; Michel Attal; Denis Caillot; Margaret Macro; Lionel Karlin; Laurent Garderet; Thierry Facon; Lotfi Benboubker; Martine Escoffre-Barbe; Anne-Marie Stoppa; Kamel Laribi; Cyrille Hulin; Aurore Perrot; Gerald Marit; Jean-Richard Eveillard; Florence Caillon; Caroline Bodet-Milin; Brigitte Pegourie; Veronique Dorvaux; Carine Chaleteix; Kenneth Anderson; Paul Richardson; Nikhil C Munshi; Herve Avet-Loiseau; Aurelie Gaultier; Jean-Michel Nguyen; Benoit Dupas; Eric Frampas; Françoise Kraeber-Bodere
Journal:  J Clin Oncol       Date:  2017-07-07       Impact factor: 44.544

6.  Low hexokinase-2 expression-associated false-negative 18F-FDG PET/CT as a potential prognostic predictor in patients with multiple myeloma.

Authors:  Yoshiaki Abe; Sho Ikeda; Akihiro Kitadate; Kentaro Narita; Hiroki Kobayashi; Daisuke Miura; Masami Takeuchi; Eri O'uchi; Toshihiro O'uchi; Kosei Matsue
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-03-22       Impact factor: 9.236

7.  Low expression of hexokinase-2 is associated with false-negative FDG-positron emission tomography in multiple myeloma.

Authors:  Leo Rasche; Edgardo Angtuaco; James E McDonald; Amy Buros; Caleb Stein; Charlotte Pawlyn; Sharmilan Thanendrarajan; Carolina Schinke; Rohan Samant; Shmuel Yaccoby; Brian A Walker; Joshua Epstein; Maurizio Zangari; Frits van Rhee; Tobias Meissner; Hartmut Goldschmidt; Kari Hemminki; Richard Houlston; Bart Barlogie; Faith E Davies; Gareth J Morgan; Niels Weinhold
Journal:  Blood       Date:  2017-04-21       Impact factor: 22.113

8.  F18-fluorodeoxyglucose positron emission tomography in the context of other imaging techniques and prognostic factors in multiple myeloma.

Authors:  Twyla B Bartel; Jeff Haessler; Tracy L Y Brown; John D Shaughnessy; Frits van Rhee; Elias Anaissie; Terri Alpe; Edgardo Angtuaco; Ronald Walker; Joshua Epstein; John Crowley; Bart Barlogie
Journal:  Blood       Date:  2009-05-14       Impact factor: 22.113

Review 9.  Prognostic factors for multiple myeloma in the era of novel therapies.

Authors:  Dimitrios C Ziogas; Meletios A Dimopoulos; Efstathios Kastritis
Journal:  Expert Rev Hematol       Date:  2018-10-26       Impact factor: 2.929

10.  18F-FDG PET/CT focal, but not osteolytic, lesions predict the progression of smoldering myeloma to active disease.

Authors:  E Zamagni; C Nanni; F Gay; A Pezzi; F Patriarca; M Bellò; I Rambaldi; P Tacchetti; J Hillengass; B Gamberi; L Pantani; V Magarotto; A Versari; M Offidani; B Zannetti; F Carobolante; M Balma; P Musto; M Rensi; K Mancuso; A Dimitrakopoulou-Strauss; S Chauviè; S Rocchi; N Fard; G Marzocchi; G Storto; P Ghedini; A Palumbo; S Fanti; M Cavo
Journal:  Leukemia       Date:  2015-10-22       Impact factor: 11.528

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  2 in total

Review 1.  Progress of modern imaging modalities in multiple myeloma.

Authors:  Toshiki Terao; Kosei Matsue
Journal:  Int J Hematol       Date:  2022-05-09       Impact factor: 2.490

2.  11C-Methionine PET/CT in Assessment of Multiple Myeloma Patients: Comparison to 18F-FDG PET/CT and Prognostic Value.

Authors:  Maria I Morales-Lozano; Paula Rodriguez-Otero; Lidia Sancho; Jorge M Nuñez-Cordoba; Elena Prieto; Maria Marcos-Jubilar; Juan J Rosales; Ana Alfonso; Edgar F Guillen; Jesus San-Miguel; Maria J Garcia-Velloso
Journal:  Int J Mol Sci       Date:  2022-08-31       Impact factor: 6.208

  2 in total

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