Unique ID issued by UMIN | UMIN000047844 |
---|---|
Receipt number | R000054546 |
Scientific Title | Utility of dual energy CT for metastatic bone tumor detection |
Date of disclosure of the study information | 2022/05/25 |
Last modified on | 2023/07/02 11:02:00 |
Utility of dual energy CT for metastatic bone tumor detection
Value of DECT for bone metastasis detection
Utility of dual energy CT for metastatic bone tumor detection
Value of DECT for bone metastasis detection
Japan |
metastatic bone tumor
Radiology | Adult |
Malignancy
NO
Computed tomography(CT) is well recognized tool for screening
metastatic lesion in cancer patients. However, when it comes to
metastatic bone tumors(MBT),CT has the lowest sensitivity for detection compared with MRI, PET, and bone scintigraphy. Virtual non-calcium image(VNCa) which can be made by scanning with dual-energy CT has potential to improve detectability of bone marrow abnormalities.
Recently, VNCa showed better detectability rate of multiple myeloma on
VNCa than on standard CT image. Hence, in this study we attempt to see
if the detectability of MBT on CT improve with creating VNCa. MRl is
going to be used as a gold standard image.
Others
evaluate the difference of CT number between MBT and normal bone marrow on VNCa
Confirmatory
Explanatory
Not applicable
See if there is a significant difference in diagnostic performance for MBT detection between conventional CT (CCT) image only and CCT with VNCa by visual analysis. MRI is used as a reference.
Measure and see the difference in CT number between normal marrow and MBT on VNCa.
Observational
20 | years-old | <= |
Not applicable |
Male and Female
Patients with MBT in the spine
too poor performance status to
participate this study
patients who needs emergent surgery
patients who have contraindication for MRI
16
1st name | Takeshi |
Middle name | |
Last name | Fukuda |
The Jikei University School of Medicine
Department of Radiology
105-8471
3-25-8, Nishi-shimbashi, Minato-ku, Tokyo
0334331111
takeshifukuda@jikei.ac.jp
1st name | Takeshi |
Middle name | |
Last name | Fukuda |
The Jikei University School of Medicine
Department of Radiology
105-8471
3-25-8, Nishi-shimbashi, Minato-ku, Tokyo
0334331111
takeshifukuda@jikei.ac.jp
The Jikei University Schoolo of Medicine
GE healthcare pharma
Profit organization
Japan
The Jikei University School of Medicine
3-25-8, Nishi-shimbashi, Minato-ku, Tokyo
0336331111
rinri@jikei.ac.jp
NO
2022 | Year | 05 | Month | 25 | Day |
Unpublished
Enrolling by invitation
2022 | Year | 03 | Month | 14 | Day |
2022 | Year | 03 | Month | 14 | Day |
2022 | Year | 06 | Month | 01 | Day |
2024 | Year | 12 | Month | 31 | Day |
compare the diagnostic performance for MBT between CCT and CCT with VNCa
2022 | Year | 05 | Month | 24 | Day |
2023 | Year | 07 | Month | 02 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000054546