Literature DB >> 19862816

Extent of disease burden determined with magnetic resonance imaging of the bone marrow is predictive of survival outcome in patients with multiple myeloma.

Sikander Ailawadhi1, Ahmed N Abdelhalim, Lyudmyla Derby, Terry L Mashtare, Kena C Miller, Gregory E Wilding, Ronald A Alberico, Ronald Gottlieb, Donald L Klippenstein, Kelvin Lee, Asher A Chanan-Khan.   

Abstract

BACKGROUND: Multiple myeloma (MM) remains an incurable cancer. Treatment often is initiated at the time patients experience a progressive increase in tumor burden. The authors of this report investigated magnetic resonance imaging of the bone marrow (BM-MRI) as a novel approach to quantify disease burden and validated a staging system by correlating BM-MRI with common clinical and laboratory parameters.
METHODS: The extent of bone marrow involvement was evaluated by BM-MRI. Clinical and laboratory parameters were assessed in patients with active MM, and correlations between variables were assessed statistically. Bone marrow involvement by BM-MRI was defined as stage A (0%), stage B (<10%), stage C (10%-50%), and stage D (>50%).
RESULTS: In total, 170 consecutive patients were evaluated (77 women and 93 men), including 144 patients who had active MM. The median age was 61 years (age range, 35-83 years). Advance stage disease (stage >I) based on Durie-Salmon (DS) staging or International Staging System (ISS) criteria was observed in 122 patients (84%) and 77 patients (53%), respectively. Lytic bone disease was noted in 120 patients (83%). There was a significant association between BM-MRI involvement and DS stage (P = .0006), ISS stage (P = .0001), the presence of lytic bone disease (P < .0001) and mean beta-2 microglobulin levels (P < .0001). Among the patients with previously untreated MM, there was a significant association between BM-MRI stage and overall survival (OS) (univariate P = .013; multivariate P = .045). Plasmacytosis on bone marrow biopsy at diagnosis was not predictive of OS (P = .91).
CONCLUSIONS: BM-MRI is a novel approach for quantifying disease burden in patients with MM. The current investigation in a large cohort of nontransplantion MM patients demonstrated that the extent of bone marrow involvement determined by BM-MRI correlates accurately with other conventional parameters of disease burden and can independently predict survival in patients with MM at the time of initial diagnosis. Copyright 2010 American Cancer Society.

Entities:  

Mesh:

Year:  2010        PMID: 19862816     DOI: 10.1002/cncr.24704

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  7 in total

1.  Increased Bone Marrow Plasma-Cell Percentage Predicts Outcomes in Newly Diagnosed Multiple Myeloma Patients.

Authors:  Abdullah S Al Saleh; Harsh V Parmar; Alissa Visram; Eli Muchtar; Francis K Buadi; Ronald S Go; Angela Dispenzieri; Prashant Kapoor; Rahma Warsame; Martha Q Lacy; David Dingli; Nelson Leung; Wilson I Gonsalves; Taxiarchis V Kourelis; Morie A Gertz; Robert A Kyle; S Vincent Rajkumar; Shaji K Kumar
Journal:  Clin Lymphoma Myeloma Leuk       Date:  2020-04-07

2.  [Focal lesions in whole-body MRI in multiple myeloma : Quantification of tumor mass and correlation with disease-related parameters and prognosis].

Authors:  S C Brandelik; J Krzykalla; T Hielscher; J Hillengass; J K Kloth; H U Kauczor; M A Weber
Journal:  Radiologe       Date:  2018-01       Impact factor: 0.635

Review 3.  Multiple myeloma.

Authors:  Conor D Collins
Journal:  Cancer Imaging       Date:  2010-02-11       Impact factor: 3.909

4.  18F-fluorocholine versus 18F-fluorodeoxyglucose for PET/CT imaging in patients with suspected relapsing or progressive multiple myeloma: a pilot study.

Authors:  Thibaut Cassou-Mounat; Sona Balogova; Valérie Nataf; Marie Calzada; Virginie Huchet; Khaldoun Kerrou; Jean-Yves Devaux; Mohamad Mohty; Jean-Noël Talbot; Laurent Garderet
Journal:  Eur J Nucl Med Mol Imaging       Date:  2016-04-28       Impact factor: 9.236

5.  Baseline bone marrow ADC value of diffusion-weighted MRI: a potential independent predictor for progression and death in patients with newly diagnosed multiple myeloma.

Authors:  Lu Zhang; Qin Wang; Huadan Xue; Jian Li; Xia Wu; Ailin Zhao; Jun Feng; Haibo Zhang; Xinxin Cao; Shuo Li; Huacong Cai; Zhaoyong Sun; Minghui Duan; Tienan Zhu; Wei Zhang; Zhengyu Jin; Daobin Zhou
Journal:  Eur Radiol       Date:  2020-09-23       Impact factor: 5.315

6.  Association between magnetic resonance imaging patterns and baseline disease features in multiple myeloma: analyzing surrogates of tumour mass and biology.

Authors:  Elias K Mai; Thomas Hielscher; Jost K Kloth; Maximilian Merz; Sofia Shah; Michaela Hillengass; Barbara Wagner; Dirk Hose; M S Raab; Anna Jauch; Stefan Delorme; Hartmut Goldschmidt; Marc-André Weber; Jens Hillengass
Journal:  Eur Radiol       Date:  2016-01-15       Impact factor: 5.315

7.  11C-acetate positron emission tomography is more precise than 18F-fluorodeoxyglucose positron emission tomography in evaluating tumor burden and predicting disease risk of multiple myeloma.

Authors:  Miao Chen; Wenjia Zhu; Jianhua Du; Chen Yang; Bing Han; Daobin Zhou; Li Huo; Junling Zhuang
Journal:  Sci Rep       Date:  2021-11-12       Impact factor: 4.379

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.