Current challenges in diagnostic imaging of venous thromboembolism

Thrombosis density ratio can predict the occurrence of pulmonary embolism and post-thrombotic syndrome in lower-extremity deep vein thrombosis patients

OBJECTIVE

Deep vein thrombosis (DVT) formation of lower extremities can lead to serious complications including pulmonary embolism (PE) and chronic post-thrombotic syndrome (PTS). We aimed to explore the relationship between the ratio of thrombotic density and the occurrence of PE and PTS in patients with DVT of the lower extremities.

METHODS

A retrospective analysis was conducted in patients who performed computed tomography venography, dividing into DVT with PE group (54 patients) and DVT-alone group (34 patients), The clinical data were recorded. Univariate and multivariate logistic regression analysis were used to analysis variables associated with PE. The ability of thrombosis density ratio and Wells score to diagnose PE was evaluated by using the receiver operating characteristic curve (ROC) area under the curve (AUC). According to the treatment and follow-up results, subgroup analysis was performed, and the Villata score was used to determine the presence or absence of PTS and its severity.

RESULTS

Compare with the DVT-alone group, more patients had dyspnea and chest pain in the DVT with PE group. DVT with PE group had lower the percentage of neutrophils, white blood cell count and platelet count, while had higher blood cell count, D-dimer, wells score, thrombus and thrombus density ratio. Multivariate logistic analysis showed that percentage of neutrophils (OR(95% CIs)=1.15 (1.01,1.31), P = 0.040), platelets (OR(95% CIs)=0.96 (0.93,0.99), P = 0.011), and thrombus density ratio (OR(95% CIs)=5.99 (1.96,18.35), P = 0.002) are independent predictors of PE. The Wells score and thrombosis density ratio were consistent in the diagnostic efficacy of PE. In the subgroup analysis, there was a relevance between the ratio of thrombosis density and the Villalta score.

CONCLUSION

Percentage of neutrophils, platelets, and thrombus density ratio are independent predictors of PE. The thrombosis density of DVT patients may be an index to predict the risk of PE and PTS in DVT patients.

WACEM Consensus Paper on Deep Venous Thrombosis after Traumatic Spinal Cord Injury

The risk and outcome of deep vein thrombosis (DVT) in patients who sustained spinal cord injury (SCI) remain a challenge. We aimed to assess the incidence, risk, burden, and prophylaxis of DVT after SCI. Thirty-nine studies were identified from among 250 relevant articles based on firstly, broad criterion of DVT among SCI cases. secondly, "risk factors" impacting DVT, thirdly, published reports from apex bodies of global importance such as World Health Organization, Centre for disease control, Atlanta USA, and others were given due weightage for their authenticity. SCI is characterized by loss of motor, sensory, and autonomic function with partial or total damage of the anatomical structure leading to increased risk of thrombogenesis. SCIs present a higher risk of venous DVT constituting 9.7% of deaths in the 1st year of follow-up. Currently, prophylaxis with mechanical methods, vena cava filters and antithrombotic chemoprophylaxis in SCI are interventions for the management of DVT. DVT in SCI patients is not uncommon and needs a high index of suspicion and implementation of institutional prophylaxis protocol.

Diagnosis of Deep Venous Thrombosis and Pulmonary Embolism: New Imaging Tools and Modalities

Imaging continues to be the modality of choice for the diagnosis of venous thromboembolic disease, particularly when incorporated into diagnostic algorithms. Improvement in imaging techniques as well as new imaging modalities and processing methods have improved diagnostic accuracy and additionally are being leveraged in prognostication and decision making for choice of intervention. In this article, we review the role of imaging in diagnosis and prognostication of venous thromboembolism. We also discuss emerging imaging approaches that may in the near future find clinical usefulness in improving diagnosis and prognostication as well as differentiating disease phenotypes.