Multiple Myeloma Lesion Detection With Whole Body CT Versus Radiographic Skeletal Survey

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

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 ◽  
...  

Blood ◽  
2005 ◽  
Vol 106 (11) ◽  
pp. 5106-5106
Author(s):  
Johnny McHugh ◽  
Ciaran Johnston ◽  
Deirdre Duke ◽  
Patrick Thornton ◽  
Steve Eustace ◽  
...  

Abstract BACKGROUND: Bone involvement in myeloma is conventionally assessed by radiographic skeletal survey (plain x-rays of spine, skull, chest, pelvis and long bones). However this may not pick up bony involvement in all patients who may then present with serious complications of myeloma bone disease such as spinal cord compression. Whole body MRI may be better than skeletal survey at evaluating myeloma bone involvement. AIMS: To compare the evaluation of myeloma bone involvement by conventional radiographic skeletal survey (RSS) with whole body magnetic resonance imaging (MRI). METHODS: 35 patients with multiple myeloma (median age 68 yrs, range 46–81) underwent conventional RSS and whole body MRI. 19 of the patients had newly diagnosed multiple myeloma and 16 had relapsed multiple myeloma. The extent of myeloma bone involvement was evaluated in both RSS and MRI as follows: the body was divided up into ten areas: skull, cervical spine, ribs, thoracic spine, lumbar spine, pelvis, right arm, left arm, right leg, left leg. In each area the extent of myeloma bone involvement was scored in both RSS and MRI as follows: 0 = normal; 1 = one focus of abnormality; 2 = more than one focus of abnormality; 3 = diffuse disease. The scores for each of the ten areas were combined to give an overall score out of thirty for both RSS and MRI. RESULTS: 30 of the 35 patients (85.7%) had evidence of bone involvement on MRI. This compares with 22 out of the 35 (62.9%) on RSS. The mean score for the extent of myeloma bone involvement on MRI was significantly higher than that for RSS (MRI mean score: 15.5 out of 30 (median 17, range 0–30); RSS mean score: 5.5 out of 30 (median 3, range 0 to 24); p<0.001). MRI was superior to RSS in all ten areas evaluated both in terms of lesion detection and extent of disease. The greatest difference between MRI and RSS was seen in the cervical, thoracic and lumbar spine, while the smallest difference was seen in the ribs and skull. Eight of the patients had no bone involvement detectable on RSS but did have bone involvement on MRI and this resulted in upstaging on Durie-Salmon staging in four patients. SUMMARY/CONCLUSIONS: RSS has limited sensitivity and a significant ionising patient dose. It is a cumbersome procedure taking up to 30 minutes. Whole body MRI gives improved sensitivity and appreciation of anatomic location of disease. It is non-ionising and can be rapidly acquired at low cost. We conclude that whole body MRI is superior to conventional RSS in both the identification and evaluation of extent of bone involvement in multiple myeloma.


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 ◽  
...  

Diagnostics ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 1053
Author(s):  
Davide Ippolito ◽  
Teresa Giandola ◽  
Cesare Maino ◽  
Davide Gandola ◽  
Maria Ragusi ◽  
...  

The aim of the study is to evaluate the effectiveness of short whole-body magnetic resonance imaging (WBMRI) protocols for the overall assessment of bone marrow involvement in patients with multiple myeloma (MM), in comparison with standard whole-body MRI protocol. Patients with biopsy-proven MM, who underwent a WBMRI with full-body coverage (from vertex to feet) were retrospectively enrolled. WBMRI images were independently evaluated by two expert radiologists, in terms of infiltration patterns (normal, focal, diffuse, and combined), according to location (the whole skeleton was divided into six anatomic districts: skull, spine, sternum and ribs, upper limbs, pelvis and proximal two-thirds of the femur, remaining parts of lower limbs) and lytic lesions number (<5, 5–20, and >20). The majority of patients showed focal and combined infiltration patterns with bone lesions predominantly distributed in the spine and pelvis. As skull and lower limbs are less frequently involved by focal bone lesions, excluding them from the standard MRI protocol allows to obtain a shorter protocol, maintaining a good diagnostic value.


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.


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