Literature DB >> 27610934

Quantitative Diffusion-weighted Imaging of the Bone Marrow: An Adjunct Tool for the Diagnosis of a Diffuse MR Imaging Pattern in Patients with Multiple Myeloma.

Vassilis Koutoulidis1, Sophia Fontara1, Evangelos Terpos1, Flora Zagouri1, Dimitris Matsaridis1, Dimitrios Christoulas1, Evangelia Panourgias1, Efstathios Kastritis1, Meletios A Dimopoulos1, Lia A Moulopoulos1.   

Abstract

Purpose To evaluate the apparent diffusion coefficients (ADCs) of magnetic resonance (MR) imaging patterns in the bone marrow of patients with multiple myeloma (MM) and to determine a threshold ADC that may help distinguish a diffuse from a normal pattern with high accuracy. Materials and Methods This prospective study was approved by the ethics review board, and informed consent was obtained. Ninety-nine patients with newly diagnosed, untreated MM and 16 healthy control subjects underwent spinal MR imaging including diffusion-weighted imaging, and bone marrow ADCs were calculated. Pattern assignment was based on visual assessment of conventional MR images. The Kruskal-Wallis H test, the Mann-Whitney test, and the one-way analysis of variance were used to compare ADCs between patient subsets and control subjects, and a receiver operating characteristic analysis was performed. Results Mean ADCs ± standard deviation in patients with MM for the normal, focal, and diffuse MR imaging patterns were 0.360 × 10-3 mm2/sec ± 0.110, 1.046 × 10-3 mm2/sec ± 0.232, and 0.770 × 10-3 mm2/sec ± 0.135, respectively. There were significant differences in ADCs between diffuse and normal (P < .001), diffuse and focal (P < .001), and focal and normal (P < .001) patterns. Patients with a diffuse pattern had more features of advanced disease, higher international staging system score, increased incidence of high-risk cytogenetics, and higher revised international staging system score. ADCs greater than 0.548 × 10-3 mm2/sec showed 100% sensitivity (26 of 26) and 98% specificity (48 of 49) for the diagnosis of a diffuse (vs normal) MR imaging pattern, whereas an ADC greater than 0.597 × 10-3 mm2/sec showed 96% sensitivity (25 of 26) and 100% specificity (49 of 49). Conclusion ADCs of MR imaging patterns in patients with MM differ significantly. A diffuse MR imaging pattern can be distinguished more objectively from a normal MR imaging pattern by adding quantitative diffusion-weighted imaging to standard MR imaging protocols. © RSNA, 2016 Online supplemental material is available for this article.

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Year:  2016        PMID: 27610934     DOI: 10.1148/radiol.2016160363

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  22 in total

1.  Dual-energy CT of the bone marrow in multiple myeloma: diagnostic accuracy for quantitative differentiation of infiltration patterns.

Authors:  Aleksander Kosmala; Andreas Max Weng; Bernhard Krauss; Stefan Knop; Thorsten Alexander Bley; Bernhard Petritsch
Journal:  Eur Radiol       Date:  2018-06-07       Impact factor: 5.315

2.  Comparison of qualitative and quantitative CT and MRI parameters for monitoring of longitudinal spine involvement in patients with multiple myeloma.

Authors:  M Horger; J Fritz; W M Thaiss; H Ditt; K Weisel; M Haap; Christopher Kloth
Journal:  Skeletal Radiol       Date:  2017-12-08       Impact factor: 2.199

3.  Bone marrow tracer uptake pattern of PET-CT in multiple myeloma: image interpretation and prognostic value.

Authors:  Jing Li; Hui Tan; Tianhong Xu; Hongcheng Shi; Peng Liu
Journal:  Ann Hematol       Date:  2021-08-20       Impact factor: 3.673

4.  Diffusion-weighted imaging (DWI) in diagnosis, staging, and treatment response assessment of multiple myeloma: a systematic review and meta-analysis.

Authors:  Pooya Torkian; Bahar Mansoori; Jens Hillengass; Javid Azadbakht; Sina Rashedi; Sarah S Lee; Behrang Amini; Pietro Andrea Bonaffini; Majid Chalian
Journal:  Skeletal Radiol       Date:  2022-07-26       Impact factor: 2.128

Review 5.  Modern radiographic imaging in multiple myeloma, what is the minimum requirement?

Authors:  Esther Mena; Evrim B Turkbey; Liza Lindenberg
Journal:  Semin Oncol       Date:  2022-01-20       Impact factor: 5.385

6.  Application of diffusion-weighted whole-body MRI for response monitoring in multiple myeloma after chemotherapy: a systematic review and meta-analysis.

Authors:  Kaiwen Wang; Elsa Lee; Shedrack Kenis; Simon Hallam; Athar Haroon; Simon Wan; Neil Rabin; Antonio Rojas-Garcia; Anwar Padhani; Sola Adeleke
Journal:  Eur Radiol       Date:  2022-01-14       Impact factor: 7.034

Review 7.  Imaging in myeloma with focus on advanced imaging techniques.

Authors:  Tara Barwick; Laure Bretsztajn; Kathryn Wallitt; Dimitri Amiras; Andrea Rockall; Christina Messiou
Journal:  Br J Radiol       Date:  2019-01-03       Impact factor: 3.039

Review 8.  Functional and molecular MRI of the bone marrow in multiple myeloma.

Authors:  Vassilis Koutoulidis; Nickolas Papanikolaou; Lia A Moulopoulos
Journal:  Br J Radiol       Date:  2018-02-13       Impact factor: 3.039

Review 9.  Applications of PET-MRI in musculoskeletal disease.

Authors:  Feliks Kogan; Stephen M Broski; Daehyun Yoon; Garry E Gold
Journal:  J Magn Reson Imaging       Date:  2018-07       Impact factor: 4.813

10.  Quantitative whole-body MR imaging for assessment of tumor burden in patients with multiple myeloma: correlation with prognostic biomarkers.

Authors:  Mengtian Sun; Jingliang Cheng; Cuiping Ren; Yong Zhang; Yinhua Li; Ying Li; Suping Zhang
Journal:  Quant Imaging Med Surg       Date:  2021-08
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