Unclogging the Mystery: Can Advanced Imaging Spot Blood Clots That Will Dissolve?
"A new MRI technique shows promise in predicting which deep vein thrombi will respond to clot-busting treatment, potentially saving patients from unnecessary risks."
Deep vein thrombosis (DVT), the formation of blood clots in the deep veins of the legs, is a serious condition. If left untreated, DVT can lead to pulmonary embolism (PE), a life-threatening blockage in the lungs. Current treatment strategies often involve catheter-directed thrombolysis (CDT), a procedure where clot-dissolving drugs are delivered directly to the thrombus.
However, CDT isn't always successful and carries significant risks, including bleeding complications. Determining which patients will benefit from CDT and who might be better served by alternative therapies remains a challenge. Thrombus age, often based on patient history, is an unreliable indicator, and a more precise way to assess clot composition is needed.
Now, a new study presented at the 19th Meeting of the European Venous Forum offers a promising solution. Researchers have successfully translated a non-contrast Magnetic Resonance Imaging (MRI) technique, previously tested in animal models, into a clinical setting to predict thrombus lysability – the likelihood of a clot to dissolve with treatment.
MSTI: A New Window into Thrombus Composition

The study, led by Justinas Silickas and colleagues from King's College London, explored the use of multi-sequence thrombus imaging (MSTI) in patients with acute iliofemoral DVT (clots in the iliac and femoral veins). MSTI involves a specialized MRI protocol that assesses various characteristics of the thrombus, including:
- T1 Mapping: Measures the relaxation times of water molecules within the thrombus, providing information about its age and composition.
- Magnetization Transfer: Assesses the interaction between water and macromolecules in the thrombus, reflecting its structural integrity.
- Diffusion-Weighted Imaging: Measures the movement of water molecules, indicating the density and organization of the thrombus.
Personalized DVT Treatment on the Horizon?
This study demonstrates the potential of MSTI to identify patients with iliofemoral DVTs who are most likely to respond to thrombolysis. By using cut-off values for T1 relaxation time, MTR, and ADC, the researchers achieved a sensitivity of 89% and specificity of 100% in distinguishing lysed and non-lysed thrombi. This suggests that MSTI could be used to stratify patients for CDT, avoiding unnecessary risks and costs in those unlikely to benefit. The researchers emphasize the need for further optimization of image analysis methods and validation of these findings in collaboration with other centers. However, this study represents a significant step towards personalized DVT treatment, potentially improving outcomes and reducing complications for patients with this common and potentially life-threatening condition.