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Published on: December 15, 2010
Assessing Therapeutic Nanoparticle Accumulation in Tumors Using Nanobubble-Based Contrast-Enhanced Ultrasound Imaging
Michaela B Cooley1, Dana Wegierak1, Reshani Perera2
1Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio 44106, United States.
Abstract:
This study explores the challenges associated with nanoparticle-based drug delivery to the tumor parenchyma, focusing on the widely utilized enhanced permeability and retention effect (EPR). While EPR has been a key strategy, its inconsistent clinical success lacks clear mechanistic understanding and is hindered by limited tools for studying relevant phenomena. This work introduces an approach that employs multiparametric dynamic contrast-enhanced ultrasound (CEUS) with a nanoscale contrast agent for noninvasive, real-time examination of tumor microenvironment characteristics. We demonstrate that CEUS imaging can: (1) evaluate tumor microenvironment features, (2) be used to help predict the distribution of doxorubicin-loaded liposomes in the tumor parenchyma, and (3) be used to predict nanotherapeutic efficacy. CEUS using nanobubbles (NBs) was carried out in two tumor types of high (LS174T) and low (U87) vascular permeability. LS174T tumors consistently showed significantly different time intensity curve (TIC) parameters, including area under the rising curve (AUCR, 2.7×) and time to peak intensity (TTP, 1.9×) compared to U87 tumors. Crucially, a recently developed decorrelation time (DT) parameter specific to NB CEUS dynamics successfully predicted the distribution of doxorubicin-loaded liposomes within the tumor parenchyma (r = 0.86 ± 0.13). AUCR, TTP, and DT were used to correlate imaging findings to nanotherapeutic response with 100% accuracy in SKOV-3 tumors. These findings suggest that NB-CEUS parameters can effectively discern tumor vascular permeability, serving as a biomarker for identifying tumor characteristics and predicting the responsiveness to nanoparticle-based therapies. The observed differences between LS174T and U87 tumors and the accurate prediction of nanotherapeutic efficacy in SKOV-3 tumors indicate the potential utility of this method in predicting treatment efficacy and evaluating EPR in diseases characterized by pathologically permeable vasculature. Ultimately, this research contributes valuable insights into refining drug delivery strategies and assessing the broader applicability of EPR-based approaches.
Insights
This study introduces nanobubble contrast-enhanced ultrasound (CEUS) to assess tumor characteristics and predict nanoparticle drug delivery. CEUS effectively evaluates tumor vascular permeability, guiding nanotherapeutic efficacy predictions.
Area of Science:
- Biomedical Engineering
- Nanotechnology
- Oncology
Background:
- The enhanced permeability and retention (EPR) effect is crucial for nanoparticle drug delivery but shows inconsistent clinical success.
- Limited tools exist for studying the tumor microenvironment and predicting nanotherapeutic outcomes.
- Understanding tumor vascular permeability is key to optimizing nanoparticle delivery.
Purpose of the Study:
- To develop and validate a noninvasive method using multiparametric dynamic contrast-enhanced ultrasound (CEUS) with nanoscale contrast agents.
- To evaluate tumor microenvironment features and predict nanoparticle distribution and therapeutic efficacy.
- To assess the utility of CEUS parameters in predicting nanotherapeutic response.
Main Methods:
- Multiparametric dynamic contrast-enhanced ultrasound (CEUS) with nanobubbles (NBs) was employed.
- CEUS imaging was performed on two tumor models with differing vascular permeability (LS174T and U87).
- Key parameters like area under the rising curve (AUCR), time to peak intensity (TTP), and decorrelation time (DT) were analyzed.
Main Results:
- CEUS parameters (AUCR, TTP) significantly differed between high and low vascular permeability tumors.
- Decorrelation time (DT) accurately predicted doxorubicin-loaded liposome distribution (r = 0.86 ± 0.13).
- CEUS-derived parameters predicted nanotherapeutic response with 100% accuracy in SKOV-3 tumors.
Conclusions:
- Nanobubble CEUS parameters can effectively discern tumor vascular permeability, serving as a biomarker.
- This method shows potential for predicting nanotherapeutic efficacy and evaluating the EPR effect.
- NB-CEUS offers a valuable tool for refining drug delivery strategies and assessing EPR applicability.

