P-146: A prospective study of conventional skeletal survey versus Whole-body CT for osteolytic lesions in Multiple Myeloma

2021 ◽  
Vol 21 ◽  
pp. S115
Author(s):  
Michael Gundesen ◽  
Jon Thor Asmussen ◽  
Einar Haukås ◽  
Michael Schubert ◽  
Niels Abildgaard ◽  
...  
2013 ◽  
Vol 31 (3) ◽  
pp. 206-211 ◽  
Author(s):  
Kelechi Princewill ◽  
Sampson Kyere ◽  
Omer Awan ◽  
Michael Mulligan

Blood ◽  
2012 ◽  
Vol 120 (21) ◽  
pp. 2913-2913
Author(s):  
Francesco Spina ◽  
Paolo Potepan ◽  
Giovanna Trecate ◽  
Eros Montin ◽  
Vittorio Montefusco ◽  
...  

Abstract Abstract 2913 Introduction: Standard assessment of bone disease in multiple myeloma (MM) is based on skeletal X-ray (XR) and magnetic resonance (MR) of the spine (MRS). Diffusion-weighted MR (DW-MR) is a novel functional MR that detects changes of water diffusion through cells in tissues. To assess the value of DW-MR to detect bone lesions in MM, we designed a prospective study comparing whole-body DW-MR with XR and MRS. The study included symptomatic patients (pts) at diagnosis or at relapse before the start of the treatment; they performed XR, MRS, conventional whole-body MR (WB-MR), and whole-body DW-MR at enrolment (time point 1, T1), after treatment (T2), and after 6 months of follow-up (T3). Clinical and hematologic, including bone marrow (BM), disease evaluations were done at the same time points. The study was approved by the Institutional Review Board in 2008 (protocol 44/08). Methods: The primary objective was to assess whether DW-MR could detect more focal lesions (FL) than XR and MRS. Secondary objectives were to correlate the changes of FL detected by DW-RM with response, to assess the prognostic value of DW-RM, and to compare DW-MR with WB-MR. MRS, WB-MR and DW-MR were done in a single 45-minute session on a standard 1.5 Tesla MR scanner. DW-MR consisted of multiple stacked axial Echo Planar Imaging sequences at 4 b-values, evaluated by PET-like Maximum Intensity Projection and Multi-Planar reconstructions at the highest b-value (1000). Each exam was independently read by 3 radiologists experienced in MM. 53 bone segments per exam were evaluated in whole-body imaging (XR, WB-MR and DW-MR); 25 segments were evaluated in spine imaging (MRS and DW-MR). All the patterns (focal, diffuse, mixed, and salt-and-pepper) of bone lesions were recorded. Matching FL detected by >=2 radiologists were counted for the present analysis. Statistics were carried out with the Wilcoxon signed rank test for methods comparisons and the Kruskal-Wallis test to assess intra-patient changes through the time points. Survival and relapse were analyzed by Kaplan-Meier and Cumulative Incidence method with log-rank and Gray's tests. All tests were 2-sided. Results: Between 2008 and 2010, 36 symptomatic pts were enrolled: 43% were at diagnosis, 57% at relapse; 71% of pts had ISS stage 1 MM. The most frequent isotype was IgG (57%), median BM infiltration was 30%. FISH on selected CD138+ plasma cells detected t(4;14) and del(17) in 9 and 6% of pts. At T1, the DW-MR detected more FL than standard XR (306 vs 117 FL, p<0.01), WB-MR (306 vs 225 FL, p=0.02), and MRS (165 vs 116 FL, trend, p=0.08). At T2, a similar number of FL was detected by DW-MR and XR (97 vs 104 FL, p=0.99) and MRS (20 vs 20 FL, p=1.00); DW-MR detected more FL than WB-MR (97 vs 60 FL, p=0.01). At T3, the DW-MR detected more FL than WB-MR (88 vs 45 FL, p<0.01) and MRS (24 vs 11 FL, p=0.05), and similar FL compared to XR (88 vs 62 FL, p=0.27). Considering all the time points, the DW-MR detected more FL than XR (p=0.01), WB-MR (p<0.01) and MRS (p=0.02). Between T1 and T2, all pts were treated with IMIDS or bortezomib–based regimens, 33% underwent a stem cell transplant. Overall response rate (ORR) was 73%. DW-MR detected significant changes of FL according to disease response at T2 (from 79 to 15 FL in >=VGPR, from 69 to 27 in PR, and from 34 to 55 FL in SD or PD, p=0.04 [whole body]; p=0.02 [spine]). Also MRS consistently detected response (p=0.04), whereas WB-MR showed only a weak correlation (p=0.13); XR did not detect response (p=0.55). Between T2 and T3, pts had minor changes of disease status (72% ORR), and, accordingly, all the radiological exams did not show significant changes in FL. One-, 2- and 3-year progression-free survival (PFS) was 80, 62 and 37% (median, 30 months), OS was 88, 79 and 76% (median not reached), and relapse incidence was 15, 32, and 54% (median, 21 months). Since the median number of FL detected by DW-MR at T1 was 4 (range, 0–49 FL), we compared PFS, relapse, and OS by the presence of <=4 FL or >4 FL before treatment. Patients with <=4 FL at DW-MR had better PFS (72 vs 50% at 2 years, p=0.02) and less relapse incidence (17 vs 50%, p<0.01) than those with >4 FL, whereas OS was not different (84 vs 75%, p=0.76). Conclusions: DW-MR is superior to XR, MRS, and WB-MR in detecting FL in MM. The number of FL detected by DW-MR before treatment predicts PFS and relapse incidence. DW-MR is a functional imaging that effectively detects the bone disease changes according to treatment response and can be used to monitor disease response. Disclosures: No relevant conflicts of interest to declare.


2021 ◽  
Vol 84 ◽  
pp. 1-9
Author(s):  
Elena Prieto ◽  
María José García-Velloso ◽  
Jesús Dámaso Aquerreta ◽  
Juan José Rosales ◽  
Juan Fernando Bastidas ◽  
...  

2015 ◽  
Vol 70 ◽  
pp. S7 ◽  
Author(s):  
Kate Downey ◽  
Elly Castellano ◽  
Dee Mears ◽  
Martin Kaiser ◽  
Christina Messiou

2020 ◽  
Vol 104 (5) ◽  
pp. 383-389
Author(s):  
Vanessa Pfahler ◽  
Melvin D'Anastasi ◽  
Hans‐Roland Dürr ◽  
Regina Schinner ◽  
Jens Ricke ◽  
...  

2014 ◽  
Vol 87 (1041) ◽  
pp. 20140185 ◽  
Author(s):  
A Surov ◽  
A G Bach ◽  
A Tcherkes ◽  
D Schramm

2018 ◽  
Vol 48 (5) ◽  
pp. 773-779 ◽  
Author(s):  
F. Joseph Simeone ◽  
Joel P. Harvey ◽  
Andrew J. Yee ◽  
Elizabeth K. O’Donnell ◽  
Noopur S. Raje ◽  
...  

Oral Oncology ◽  
2021 ◽  
Vol 116 ◽  
pp. 105240
Author(s):  
Sebastian Zschaeck ◽  
Julian Weingärtner ◽  
Pirus Ghadjar ◽  
Peter Wust ◽  
Felix Mehrhof ◽  
...  

Author(s):  
Rakuhei Nakama ◽  
Ryo Yamamoto ◽  
Yoshimitsu Izawa ◽  
Keiichi Tanimura ◽  
Takashi Mato

Abstract Background Unnecessary whole-body computed tomography (CT) may lead to excess radiation exposure. Serum D-dimer levels have been reported to correlate with injury severity. We examined the predictive value of serum D-dimer level for identifying patients with isolated injury that can be diagnosed with selected-region CT rather than whole-body CT. Methods This single-center retrospective cohort study included patients with blunt trauma (2014–2017). We included patients whose serum D-dimer levels were measured before they underwent whole-body CT. “Isolated” injury was defined as injury with Abbreviated Injury Scale (AIS) score ≤ 5 to any of five regions of interest or with AIS score ≤ 1 to other regions, as revealed by a CT scan. A receiver operating characteristic curve (ROC) was drawn for D-dimer levels corresponding to isolated injury; the area under the ROC (AUROC) was evaluated. Sensitivity, specificity, positive predictive value, and negative predictive value were calculated for several candidate cut-off values for serum D-dimer levels. Results Isolated injury was detected in 212 patients. AUROC was 0.861 (95% confidence interval [CI]: 0.815–0.907) for isolated injury prediction. Serum D-dimer level ≤ 2.5 μg/mL was an optimal cutoff value for predicting isolated injury with high specificity (100.0%) and positive predictive value (100.0%). Approximately 30% of patients had serum D-dimer levels below this cutoff value. Conclusion D-dimer level ≤ 2.5 μg/mL had high specificity and high positive predictive value in cases of isolated injury, which could be diagnosed with selected-region CT, reducing exposure to radiation associated with whole-body CT.


2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Mitsutaka Nemoto ◽  
Tusufuhan Yeernuer ◽  
Yoshitaka Masutani ◽  
Yukihiro Nomura ◽  
Shouhei Hanaoka ◽  
...  

Objective. To develop automatic visceral fat volume calculation software for computed tomography (CT) volume data and to evaluate its feasibility.Methods. A total of 24 sets of whole-body CT volume data and anthropometric measurements were obtained, with three sets for each of four BMI categories (under 20, 20 to 25, 25 to 30, and over 30) in both sexes. True visceral fat volumes were defined on the basis of manual segmentation of the whole-body CT volume data by an experienced radiologist. Software to automatically calculate visceral fat volumes was developed using a region segmentation technique based on morphological analysis with CT value threshold. Automatically calculated visceral fat volumes were evaluated in terms of the correlation coefficient with the true volumes and the error relative to the true volume.Results. Automatic visceral fat volume calculation results of all 24 data sets were obtained successfully and the average calculation time was 252.7 seconds/case. The correlation coefficients between the true visceral fat volume and the automatically calculated visceral fat volume were over 0.999.Conclusions. The newly developed software is feasible for calculating visceral fat volumes in a reasonable time and was proved to have high accuracy.


Sign in / Sign up

Export Citation Format

Share Document