Whole body imaging & diffusion-weighted 3T MRI
Nuada Specialist Oncological Radiology Team
|Prof. Anwar Padhani||Dr. Dow-Mu Koh|
“Whole body MRI with diffusion excels at bone marrow assessments, where it can potentially address currently unmet clinical needs. Its high sensitivity and specificity match that of FDG-PET and exceed CT scans." The pooled sensitivity of whole body MRI for bone disease is 90% and specificity is 92%.
“Head-to-head comparisons in soft tissue disease evaluations suggests that whole body MRI with diffusion has equal sensitivity and specificity to PET-CT in a variety of tumour types (WB-MRI+DWI: sensitivity 70-96%, specificity 67-98% ; PET-CT: 63-97%, specificity 95-99%).”
The Nuada implementation of whole body MRI has both components:
- morphological images of the whole body, which provides information about structure and form, supplemented by
- Whole body diffusion MRI (WB-DWI) which excels at lesion/cancer detection in the bone marrow, being better than CT scans and bone scans for detecting bony disease.
Metastasis & myeloma
The Nuada approach to whole body imaging is particularly useful in the diagnosis of Myeloma, also known as multiple myeloma, a type of cancer arising from plasma cells which are found in the bone marrow. It is also effective in diagnosing metastasis, that is spread of cancer, particularly in the bones, which is very common in:
The diagnostic technique can be used:
- At initial cancer diagnosis to see if cancer has spread out from the initial lesion, diagnosis ‘work up’
- To monitor the effectiveness of therapy
- Detection of reoccurrence of a cancer.
3T MRI vs other modalities
3T MRI is particularly good at detecting disease location and assessing aggressiveness, as compared to Nuclear medicine (bone scintigraphy), FDG PET or CT and none of those modalities can compete with 3T MRI in terms of sensitivity and resolution.
Soft tissue disease
The Nuada approach is also useful for detecting soft tissue disease, especially in the renal and thyroid cancers and liver disease.