scholarly journals Prospective Comparison of 18-FDG PET/CT and Whole-Body MRI with Diffusion-Weighted Imaging in the Evaluation of Treatment Response of Multiple Myeloma Patients Eligible for Autologous Stem Cell Transplant

Cancers ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 1938
Author(s):  
Charles Mesguich ◽  
Valérie Latrabe ◽  
Cyrille Hulin ◽  
Axelle Lascaux ◽  
Laurence Bordenave ◽  
...  

To compare the prognostic values of 18-FDG PET/CT (FDG-PET) and Whole-Body MRI with Diffusion-Weighted Imaging (WB-DW-MRI) in the evaluation of treatment response of Multiple Myeloma (MM) patients eligible for ASCT. Thirty patients with newly diagnosed MM prospectively underwent FDG-PET and WB-DW-MRI at baseline, after induction chemotherapy and after ASCT. Response on WB-DW-MRI was evaluated with the MY-RADS criteria. FDG-PET was considered positive if residual uptake was superior to liver uptake. Imaging results were not used for treatment modification. The impact of imaging results on PFS was analyzed. After a median follow-up of 32 months, 10 patients relapsed. With WB-DW-MRI, post-induction examination was positive in 3/25 and post-ASCT examination was positive in 3/27 patients. However, neither study showed prognostic impact on PFS. FDG-PET was positive in 5/22 post-induction and 3/26 patients post-ASCT, respectively. Positivity of FDG-PET, post-induction or post-ASCT, was associated with a shorter PFS (post-induction: median PFS 19 months vs. not reached, log-rank p = 0.0089; post-ASCT: median PFS 18 months vs. not reached, log-rank p = 0.0005). Preliminary results from this small, single-center, prospective study show that, whether performed post-induction or post-ASCT, FDG-PET has a higher prognostic value than WB-DW-MRI for treatment response evaluation of newly diagnosed MM.

2016 ◽  
Vol 45 (4) ◽  
pp. 1082-1089 ◽  
Author(s):  
Domenico Albano ◽  
Caterina Patti ◽  
Roberto Lagalla ◽  
Massimo Midiri ◽  
Massimo Galia

2016 ◽  
Vol 85 (2) ◽  
pp. 313-318 ◽  
Author(s):  
Domenico Albano ◽  
Caterina Patti ◽  
Ludovico La Grutta ◽  
Francesco Agnello ◽  
Emanuele Grassedonio ◽  
...  

Radiology ◽  
2008 ◽  
Vol 248 (2) ◽  
pp. 643-654 ◽  
Author(s):  
Yoshiharu Ohno ◽  
Hisanobu Koyama ◽  
Yumiko Onishi ◽  
Daisuke Takenaka ◽  
Munenobu Nogami ◽  
...  

2014 ◽  
Vol 24 (5) ◽  
pp. 1153-1165 ◽  
Author(s):  
Annemieke S. Littooij ◽  
Thomas C. Kwee ◽  
Ignasi Barber ◽  
Claudio Granata ◽  
Malou A. Vermoolen ◽  
...  

2013 ◽  
Vol 38 (7) ◽  
pp. e290-e296 ◽  
Author(s):  
Andrei Iagaru ◽  
Phillip Young ◽  
Erik Mittra ◽  
David W. Dick ◽  
Robert Herfkens ◽  
...  

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Alessandro Stecco ◽  
Francesco Buemi ◽  
Martina Quagliozzi ◽  
Mariangela Lombardi ◽  
Alberto Santagostino ◽  
...  

Background. The purpose of this study was to compare the accuracy of whole-body MRI with diffusion-weighted sequences (WB-DW-MRI) with that of18F-FDG-PET/CT in the staging of patients with primary gastrointestinal lymphoma.Methods. This retrospective study involved 17 untreated patients with primary abdominal gastrointestinal lymphoma. All patients underwent18F-FDG-PET/CT and WB-DW-MRI. Histopathology findings or at least 6 months of clinical and radiological follow-up was the gold standard. The Musshoff-modified Ann Arbor system was used for staging, and diagnostic accuracy was evaluated on a per-node basis.Results. WB-DW-MRI exhibited 100% sensitivity, 96.3% specificity, and 96.1% and 100% positive and negative predictive values (PPV and NPV), respectively. The sensitivity, specificity, and PPV and NPV of PET/CT were 95.9%, 100%, and 100% and 96.4%, respectively. There were no statistically significant differences between the two techniquesp=0.05. The weighted kappa agreement statistics with a 95% confidence interval were 0.97 (0.95–0.99) between the two MRI readers and 0.87 (0.82–0.92) between the two methods.Conclusions. WB-DW-MRI appears to have a comparable diagnostic value to18F-FDG-PET/CT in staging patients with gastrointestinal lymphoma.


2018 ◽  
Vol Volume 11 ◽  
pp. 3597-3608 ◽  
Author(s):  
Danyang Wang ◽  
Yanlei Huo ◽  
Suyun Chen ◽  
Hui Wang ◽  
Yingli Ding ◽  
...  

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