BR55 Ultrasound Molecular Imaging of Clear Cell Renal Cell Carcinoma Reflects Tumor Vascular Expression of VEGFR-2 in a Patient-Derived Xenograft Model.

Standard imaging cannot reliably predict the nature of renal tumors. Among malignant renal tumors, clear cell renal cell carcinoma (ccRCC) is the most common histological subtype, in which the vascular endothelial growth factor 2 (VEGFR-2) is highly expressed in the vascular endothelium. BR55, a contrast agent for ultrasound imaging, consists of gas-core lipid microbubbles that specifically target and bind to the extracellular portion of the VEGFR-2. The specific information provided by ultrasound molecular imaging (USMI) using BR55 was compared with the vascular tumor expression of the VEGFR-2 by immunohistochemical (IHC) staining in a preclinical model of ccRCC. Patients' ccRCCs were orthotopically grafted onto Nod-Scid-Gamma (NSG) mice to generate patient-derived xenografts (PdX). Mice were divided into four groups to receive either vehicle or axitinib an amount of 2, 7.5 or 15 mg/kg twice daily. Perfusion parameters and the BR55 ultrasound contrast signal on PdX renal tumors were analyzed at D0, D1, D3, D7 and D11, and compared with IHC staining for the VEGFR-2 and CD34. Significant Pearson correlation coefficients were observed between the area under the curve (AUC) and the CD34 (0.84, p < 10-4), and between the VEGFR-2-specific signal obtained by USMI and IHC (0.72, p < 10-4). USMI with BR55 could provide instant, quantitative information on tumor VEGFR-2 expression to characterize renal masses non-invasively.

New calibration setup for quantitative DCE-US imaging protocol: Toward standardization.

BACKGROUND: The DCE-US (Dynamic Contrast-Enhanced Ultrasonography) imaging protocol predicts the vascular modifications compared with Response Evaluation Criteria in Solid Tumors (RECIST) based mainly on morphological changes. A quantitative biomarker has been validated through the DCE-US multi-centric study for early monitoring of the efficiency of anti-angiogenic cancer treatments. In this context, the question of transposing the use of this biomarker to other types of ultrasound scanners, probes and settings has arisen to maintain the follow-up of patients under anti-angiogenic treatments. As a consequence, radiologists encounter standardization issues between the different generations of ultrasound scanners to perform quantitative imaging protocols. PURPOSE: The aim of this study was to develop a new calibration setup to transpose the DCE-US imaging protocol to the new generation of ultrasound scanners using both abdominal and linear probes. METHODS: This calibration method has been designed to be easily reproducible and optimized, reducing the time required and cost incurred. It is based on an original set-up that includes using a concentration splitter to measure the variation of the harmonic signal intensity, obtained from the Area Under the time-intensity Curve (AUC) as a function of various contrast-agent concentrations. The splitter provided four different concentrations simultaneously ranging from 12.5% to 100% of the initial concentration of the SonoVue contrast agent (Bracco Imaging S.p.A., Milan, Italy), therefore, measuring four AUCs in a single injection. The plot of the AUC as a function of the four contrast agent concentrations represents the intensity variation of the harmonic signal: the slope being the calibration parameter. The standardization through this method implied that both generations of ultrasound scanners had to have the same slopes to be considered as calibrated. This method was tested on two ultrasound scanners from the same manufacturer (Aplio500, Aplioi900, Canon Medical Systems, Tokyo, Japan). The Aplio500 used the settings defined by the initial multicenter DCE-US study. The Mechanical Index (MI) and the Color Gain (CG) of the Aplioi900 have been adjusted to match those of the Aplio500. The reliability of the new setup was evaluated in terms of measurement repeatability, and reproducibility with the agreement between the measurements obtained once the two ultrasound scanners were calibrated. RESULTS: The new setup provided excellent repeatability measurements with a value of 96.8%. Once the two ultrasound scanners have been calibrated for both types of probes, the reproducibility was excellent with the agreement between their respective quantitative measurement was at the lowest 95.4% and at the best 98.8%. The settings of the Aplioi900 (Canon Medical Systems) were adjusted to match those of the Aplio500 (Canon Medical Systems) and these validated settings were for the abdominal probe: MI = 0.13 and CG = 34 dB; and for the linear probe: MI = 0.10 and CG = 38 dB. CONCLUSION: This new calibration setup provided reliable measurements and enabled the rapid transfer and the use of the DCE-US imaging protocol on new ultrasound scanners, thus permitting a continuation of the therapeutic evaluation of patients through quantitative imaging.

Body Composition to Define Prognosis of Cancers Treated by Anti-Angiogenic Drugs.

Background: Body composition could help to better define the prognosis of cancers treated with anti-angiogenics. The aim of this study is to evaluate the prognostic value of 3D and 2D anthropometric parameters in patients given anti-angiogenic treatments. Methods: 526 patients with different types of cancers were retrospectively included. The software Anthropometer3DNet was used to measure automatically fat body mass (FBM3D), muscle body mass (MBM3D), visceral fat mass (VFM3D) and subcutaneous fat mass (SFM3D) in 3D computed tomography. For comparison, equivalent two-dimensional measurements at the L3 level were also measured. The area under the curve (AUC) of the receiver operator characteristics (ROC) was used to determine the parameters' predictive power and optimal cut-offs. A univariate analysis was performed using Kaplan−Meier on the overall survival (OS). Results: In ROC analysis, all 3D parameters appeared statistically significant: VFM3D (AUC = 0.554, p = 0.02, cutoff = 0.72 kg/m2), SFM3D (AUC = 0.544, p = 0.047, cutoff = 3.05 kg/m2), FBM3D (AUC = 0.550, p = 0.03, cutoff = 4.32 kg/m2) and MBM3D (AUC = 0.565, p = 0.007, cutoff = 5.47 kg/m2), but only one 2D parameter (visceral fat area VFA2D AUC = 0.548, p = 0.034). In log-rank tests, low VFM3D (p = 0.014), low SFM3D (p < 0.0001), low FBM3D (p = 0.00019) and low VFA2D (p = 0.0063) were found as a significant risk factor. Conclusion: automatic and 3D body composition on pre-therapeutic CT is feasible and can improve prognostication in patients treated with anti-angiogenic drugs. Moreover, the 3D measurements appear to be more effective than their 2D counterparts.

An artificial intelligence model predicts the survival of solid tumour patients from imaging and clinical data.

BACKGROUND: The need for developing new biomarkers is increasing with the emergence of many targeted therapies. Artificial Intelligence (AI) algorithms have shown great promise in the medical imaging field to build predictive models. We developed a prognostic model for solid tumour patients using AI on multimodal data. PATIENTS AND METHODS: Our retrospective study included examinations of patients with seven different cancer types performed between 2003 and 2017 in 17 different hospitals. Radiologists annotated all metastases on baseline computed tomography (CT) and ultrasound (US) images. Imaging features were extracted using AI models and used along with the patients' and treatments' metadata. A Cox regression was fitted to predict prognosis. Performance was assessed on a left-out test set with 1000 bootstraps. RESULTS: The model was built on 436 patients and tested on 196 patients (mean age 59, IQR: 51-6, 411 men out of 616 patients). On the whole, 1147 US images were annotated with lesions delineation, and 632 thorax-abdomen-pelvis CTs (total of 301,975 slices) were fully annotated with a total of 9516 lesions. The developed model reaches an average concordance index of 0.71 (0.67-0.76, 95% CI). Using the median predicted risk as a threshold value, the model is able to significantly (log-rank test P value < 0.001) isolate high-risk patients from low-risk patients (respective median OS of 11 and 31 months) with a hazard ratio of 3.5 (2.4-5.2, 95% CI). CONCLUSION: AI was able to extract prognostic features from imaging data, and along with clinical data, allows an accurate stratification of patients' prognoses.

Prediction of Early Response to Immunotherapy: DCE-US as a New Biomarker.

PURPOSE: The objective of our study is to propose fast, cost-effective, convenient, and effective biomarkers using the perfusion parameters from dynamic contrast-enhanced ultrasound (DCE-US) for the evaluation of immune checkpoint inhibitors (ICI) early response. METHODS: The retrospective cohort used in this study included 63 patients with metastatic cancer eligible for immunotherapy. DCE-US was performed at baseline, day 8 (D8), and day 21 (D21) after treatment onset. A tumor perfusion curve was modeled on these three dates, and change in the seven perfusion parameters was measured between baseline, D8, and D21. These perfusion parameters were studied to show the impact of their variation on the overall survival (OS). RESULTS: After the removal of missing or suboptimal DCE-US, the Baseline-D8, the Baseline-D21, and the D8-D21 groups included 37, 53, and 33 patients, respectively. A decrease of more than 45% in the area under the perfusion curve (AUC) between baseline and D21 was significantly associated with better OS (p = 0.0114). A decrease of any amount in the AUC between D8 and D21 was also significantly associated with better OS (p = 0.0370). CONCLUSION: AUC from DCE-US looks to be a promising new biomarker for fast, effective, and convenient immunotherapy response evaluation.

Ultrasound Molecular Imaging of Renal Cell Carcinoma: VEGFR targeted therapy monitored with VEGFR1 and FSHR targeted microbubbles.

Recent treatment developments for metastatic renal cell carcinoma offer combinations of immunotherapies or immunotherapy associated with tyrosine kinase inhibitors (TKI). There is currently no argument to choose one solution or another. Easy-to-use markers to assess longitudinal responses to TKI are necessary to determine when to switch to immunotherapies. These new markers will enable an earlier adaptation of therapeutic strategy in order to prevent tumor development, unnecessary toxicity and financial costs. This study evaluates the potential of ultrasound molecular imaging to track the response to sunitinib in a clear cell renal carcinoma model (ccRCC). We used a patient-derived xenograft model for this imaging study. Mice harboring human ccRCC were randomized for sunitinib treatment vs. control. The tumors were imaged at days 0, 7, 14 and 28 with ultrasound molecular imaging. Signal enhancement was quantified and compared between the two groups after injections of non-targeted microbubbles and microbubbles targeting VEGFR1 and FSHR. The tumor growth of the sunitinib group was significantly slower. There was a significantly lower expression of both VEGFR-1 and FSHR molecular ultrasound imaging signals in the sunitinib group at all times of treatment (Days 7, 14 and 28). These results confirm the study hypothesis. There was no significant difference between the 2 groups for the non-targeted microbubble ultrasound signal. This study demonstrated for the first time the potential of VEGFR1 and FSHR, by ultrasound-based molecular imaging, to follow-up the longitudinal response to sunitinib in ccRCC. These results should trigger developments for clinical applications.

A Novel Microflow Phantom Dedicated to Ultrasound Microvascular Measurements.

Tumor microvascularization is a biomarker of response to antiangiogenic treatments and is accurately assessed by ultrasound imaging. Imaging modes used to visualize slow flows include Power Doppler imaging, dynamic contrast-enhanced ultrasonography, and more recently, microvascular Doppler. Flow phantoms are used to evaluate the performance of Doppler imaging techniques, but they do not have a steady flow and sufficiently small channels. We report a novel device for robust and stable microflow measurements and the study of the microvascularization. Based on microfluidics technology, the prototype features wall-less cylindrical channels of diameters ranging from as small as 147 up to 436 µm, cast in a soft silicone polymer and perfused via a microfluidic flow pressure controller. The device was assessed using flow rates from 49 to 146 µL/min, with less than 1% coefficient of variation over three minutes, corresponding to velocities of 6 to 142 mm/s. This enabled us to evaluate and confirm the reliability of the Superb Microvascular Imaging Doppler mode compared with the Power Doppler mode at these flow rates in the presence of vibrations mimicking physiological motion.

Toward a Standardization of Ultrasound Scanners for Dynamic Contrast-Enhanced Ultrasonography: Methodology and Phantoms.

The standardization of ultrasound scanners for dynamic contrast-enhanced ultrasonography (DCE-US) is mandatory for evaluation of clinical multicenter studies. We propose a robust method using a phantom for measuring the variation of the harmonic signal intensity obtained from the area under the time-intensity curve versus various contrast-agent concentrations. The slope of this measured curve is the calibration parameter. We tested our method on two devices from the same manufacturer (AplioXV and Aplio500, Toshiba, Tokyo, Japan) using the same settings as defined for a French multicenter study. The Aplio500's settings were adjusted to match the slopes of the AplioXV, resulting in the following settings on the Aplio500: at 3.5 MHz: MI = 0.15; CG = 35 dB and at 8 MHz: MI = 0.10; CG = 32 dB. This calibration method is very important for future DCE-US multicenter studies.

Study of Intrapatient Variability and Reproducibility of Quantitative Tumor Perfusion Parameters Evaluated With Dynamic Contrast-Enhanced Ultrasonography.

OBJECTIVES: Dynamic contrast-enhanced (DCE) ultrasonography (US) is a functional imaging technique enabling quantitative assessment of solid tumor perfusion in metastatic patients treated with antiangiogenic therapies.The objective of this prospective single-center study was to evaluate in real-life conditions (in routine clinical practice) the intrapatient variability and reproducibility of DCE-US parameters. MATERIALS AND METHODS: Each patient provided written informed consent and had 2 DCE-US examinations (preprandial and postprandial) at baseline, day 15, and 1 month after treatment initiation. Perfusion curves were recorded after Sonovue injections to determine 7 perfusion parameters. Dynamic contrast-enhanced US examinations were analyzed in pairs: preprandial and postprandial. Log transformed values were used to determine the variability of the pairs (within-subject coefficient of variation) and their reproducibility (Spearman correlation coefficient). RESULTS: We included 60 patients (23 colon cancers, 36 kidney cancers, and 1 breast cancer) treated with axitinib (26 patients), sunitinib (27 patients), and other antiangiogenic treatments (7 patients). The 60 patients included 38 men (63%) and 22 women (37%) with a median age of 62 (range, 25-82 years). Thirty patients had hepatic and 30 had extrahepatic target lesions. Data were analyzed for 128 pairs of DCE-US: 45 (baseline), 45 (day 15), and 38 (1 month). Preprandial and postprandial values were not significantly different. For area under the curve and area under the washout, the correlation coefficient between preprandial and postprandial values was 0.89; the associated within-subject coefficients of variation were 61% and 64%, respectively. However, the range of individual variations (postprandial value/preprandial value) was less than 2 logs for a range of parameter values of about 4 logs. Variability was independent of the metastatic site. CONCLUSIONS: This study showed that area under the curve and area under the washout are the 2 most reproducible DCE-US parameters.

Standardization of dynamic contrast-enhanced ultrasound for the evaluation of antiangiogenic therapies: the French multicenter Support for Innovative and Expensive Techniques Study.

OBJECTIVES: The objectives of this study are to describe the standardization and dissemination of dynamic contrast-enhanced ultrasound (DCE-US) for the evaluation of antiangiogenic treatments in solid tumors across 19 oncology centers in France and to define a quality score to account for the variability of the evaluation criteria used to collect DCE-US data. MATERIALS AND METHODS: This prospective Soutien aux Techniques Innovantes Coûteuses (Support for Innovative and Expensive Techniques) DCE-US study included patients with metastatic breast cancer, melanoma, colon cancer, gastrointestinal stromal tumors, renal cell carcinoma and patients with primary hepatocellular carcinoma tumors treated with antiangiogenic therapy. The DCE-US method was made available across 19 oncology centers in France. Overall, 2339 DCE-US examinations were performed by 65 radiologists in 539 patients.One target site per patient was studied. Standardized DCE-US examinations were performed before treatment (day 0) and at days 7, 15, 30, and 60. Dynamic contrast-enhanced ultrasound data were transferred from the different sites to the main study center at the Institut Gustave-Roussy for analysis. Quantitative analyses were performed with a mathematical model to determine 7 DCE-US functional parameters using raw linear data. Radiologists had to evaluate 6 criteria that were potentially linked to the precision of the evaluation of these parameters: lesion size, target motion, loss of target, clear borders, total acquisition of wash-in, and vascular recognition imaging window adapted to the lesion size.Eighteen DCE-US examinations were randomly selected from the Soutien aux Techniques Innovantes Coûteuses (Support for Innovative and Expensive Techniques) database. Each examination was quantified twice by 8 engineers/radiologists trained to evaluate the perfusion parameters. The intraobserver variability was estimated on the basis of differences between examinations performed by the same radiologist. The mean coefficient of variability associated with each quality criterion was estimated. The final quality score, ranging from 0 to 5, was defined according to the value of coefficient of variability for each criterion. RESULTS: A total of 2062 examinations were stored with raw linear data. Five criteria were found to have a major impact on quality: lesion size, motion, loss of target, borders, and total acquisition of wash-in. Only 3% of the examinations were of poor quality (quality of 0); quality was correlated with the radiologists' experience, such that it was significantly higher for radiologists who had performed more than 60 DCE-US examinations (P < 0.0001). CONCLUSIONS: The DCE-US methodology has been successfully provided to several centers across France together with strict rules for quality assessment. Only 3% of examinations carried out at these centers were considered not interpretable.

Combining functional imaging and interstitial pressure measurements to evaluate two anti-angiogenic treatments.

BACKGROUND: Interstitial hypertension is responsible for poor capillary blood flow and hampered drug delivery. The efficacy of combined sorafenib/bevacizumab treatment given according to different administration schedules has been evaluated by measuring both interstitial pressure (IP) and quantitative dynamic contrast-enhanced ultrasonography (DCE-US) parameters in melanoma-bearing mice. MATERIAL AND METHODS: [corrected] Sixty mice were xenografted with B16F10 melanoma. Animals received a daily administration over 4 days (D0 to D3) of either sorafenib at 30 mg/kg, bevacizumab at 2.5 mg/kg alone, or different schedules of combined treatments. Perfusion parameters determined using an Aplio® sonograph (Toshiba) with SonoVue® contrast agent (Bracco) were compared to IP measurements using fiberoptic probes (Samba®) at D0, D2, D4, D8. RESULTS: The mean baseline IP values ranged between 6.55 and 31.29 mmHg in all the groups. A transient IP decrease occurred at D2 in all treated groups, and especially in the concomitant group which exhibited a significant IP reduction compared to D0. A significant decrease in both the peak intensity and the area under the curve was observed at D4 in the group with concomitant administration of both molecules which yielded maximal inhibition of the tumor volume and the number of vessels. No correlation was found between IP values and volume or perfusion parameters, indicating complex relationships between IP and vascularization. No IP gradients were found between the center and the periphery but IP values in these two regions were significantly correlated (R = 0.93). CONCLUSION: The results suggest that IP variations could be predictive of vascular changes and that one single IP measurement is sufficient to fully characterize the whole tumor.

Quantitative functional imaging by dynamic contrast enhanced ultrasonography (DCE-US) in GIST patients treated with masatinib.

OBJECTIVES: To determine the quantitative parameters of DCE-US for predicting early functional response of patients with metastatic gastrointestinal stromal tumors (GIST). MATERIALS AND METHODS: Phase II multicentre clinical trial in patients with metastatic GIST treated with masatinib mesylate (7.5 mg/kg daily by oral route) Patients followed using three different imaging techniques: 1) DCE-US before treatment and on days 1, 7, 15 and after 1, 2, 4, 6 months and every 3 months. 2) CT assessments, using RECIST criteria, before treatment, after 2, 4, 6 months and then every 3 months. 3) FDG PET before treatment and after 1 month. RESULTS: Twenty patients included and followed-up for up to 36 months, with 269 DCE-US examinations performed. No significant changes in the 7 selected DCE-US variables on day 1 and 7 vs baseline. On day 15, significant reductions in all the variables related to blood volume recorded: area under the curve (AUC) (p = 0. 004), area under the wash-in (AUWI) (p = 0.002), area under the wash-out (AUWO) (p = 0.002) and Peak Intensity (p = 0.005). Also slope of wash-in changed significantly (p = 0.003). An important reduction in Standard Uptake Values (SUV) recorded in 7/11 patients (PFS >18 months). Decrease in DCE-US AUC, AUWI and AUWO values on day 7 were predictive of PET-CT results. CONCLUSIONS: AUC AUWI, AUWO are the DCE-US parameters related to blood volume that at D 15 can predict the response of GISTs to treatment with masatinib. Additional studies are ongoing.

Dynamic contrast-enhanced ultrasonography (DCE-US) and anti-angiogenic treatments.

Dynamic contrast-enhanced ultrasonography (DCE-US) is a current functional imaging technique enabling a quantitative assessment of tumor perfusion using raw linear data. DCE-US allows calculating several parameters as slope of wash-in or area under the curve representing, respectively, blood flow or blood volume. Decrease of vascularization can easily be detected in responders after 1 or 2 weeks of anti-angiogenic treatment for gastrointestinal stromal tumors (GIST), renal cell carcinoma (RCC), and hepatocellular carcinoma (HCC) and is correlated with progression-free survival and overall survival in RCC or HCC. DCE-US is supported by the French National Cancer Institute (INCa), which is currently studying the technique in metastatic breast cancer, melanoma, colon cancer, gastrointestinal stromal tumors and renal cell carcinoma, as well as in primary hepatocellular carcinoma, to establish the optimal perfusion parameters and timing for quantitative anticancer efficacy assessments. Currently 479 patients are included in 19 centers and the preliminary results on 400 patients with 1096 DCE-US demonstrated that the area under the curve (AUC) quantified at 1 month could be a robust parameter to predict response at 6 months.

Advanced hepatocellular carcinoma: early evaluation of response to bevacizumab therapy at dynamic contrast-enhanced US with quantification--preliminary results.

PURPOSE: To investigate whether there is any correlation between standard efficacy endpoints-specifically, tumor response, progression-free survival, and overall survival-and tumor perfusion parameters measured by using dynamic contrast material-enhanced ultrasonography (US) in patients with advanced hepatocellular carcinoma (HCC) treated with bevacizumab. MATERIALS AND METHODS: The institutional review board approved the study, and all patients provided written informed consent before their enrollment. Between June 3, 2005, and September 28, 2007, 42 patients (33 men, nine women; median age, 62 years; age range, 23-84 years) participated in this phase II study of single-agent bevacizumab treatment. Tumor response (based on RECIST [response evaluation criteria in solid tumors]) at 2 months was assessed in 37 patients, and progression-free survival and overall survival were assessed in all 42 patients. Dynamic contrast-enhanced US (ie, dynamic US) was performed before treatment (day 0); on days 3, 7, 14, and 60 after treatment; and every 2 months thereafter. Tumor perfusion parameters were estimated quantitatively from contrast material uptake curves constructed from raw linear data. The changes in dynamic US functional parameters between day 0 and the later time points were compared between treatment responders and nonresponders by using nonparametric tests. Given multiple comparisons, P < .001 indicated significance. RESULTS: The percentage decrease in several dynamic US parameters between day 0 and day 3 showed trends toward correlation with (a) tumor response in terms of total area under the time-intensity curve (AUC) (P = .02), AUC during wash in (P = .04), AUC during washout (P = .02), and time to peak intensity (P = .03); (b) progression-free survival in terms of time to peak intensity (P = .028); and (c) overall survival in terms of AUC (P = .002) and AUC during washout (P = .003). CONCLUSION: Dynamic US can be used to quantify dynamic changes in tumor vascularity as early as 3 days after bevacizumab administration in patients with HCC. These early changes in tumor perfusion may be predictive of tumor response at 2 months, progression-free survival, and overall survival, and they may be potential surrogate measures of the effectiveness of antiangiogenic therapy in patients with HCC.

Metastatic renal cell carcinoma treated with sunitinib: early evaluation of treatment response using dynamic contrast-enhanced ultrasonography.

PURPOSE: To determine the utility of dynamic contrast-enhanced ultrasonography (DCE-US) as a prognostic tool for metastatic renal cell carcinoma patients receiving sunitinib and to identify DCE-US parameters that correlate with early treatment response. EXPERIMENTAL DESIGN: Thirty-eight patients received 50 mg/d sunitinib on schedule 4/2 (4 weeks on followed by 2 weeks off treatment). After two cycles, response evaluation criteria in solid tumors were used to classify patients as responders or nonresponders. DCE-US evaluations were done before treatment and at day 15; variations between days 0 and 15 were calculated for seven DCE-US functional parameters and were compared for responders and nonresponders. The correlation between DCE-US parameters and disease-free survival (DFS) and overall survival (OS) was assessed. RESULTS: The ratio between DCE-US examinations at baseline and day 15 significantly correlated with response in five of the seven DCE-US parameters. Two DCE-US parameters (time to peak intensity and slope of the wash-in) were significantly associated with DFS; time to peak intensity was also significantly associated with OS. CONCLUSIONS: DCE-US is a useful tool for predicting the early efficacy of sunitinib in metastatic renal cell carcinoma patients. Robust correlations were observed between functional parameters and classic assessments, including DFS and OS.

[Targeted treatments: which imaging?]. / Quelle imagerie pour les thérapies ciblées?

Currently, the evaluation of targeted treatments by functional imaging in oncology is a main goal. Several techniques as Dynamic Contrast Enhanced-MRI, CT-perfusion or Dynamic Contrast Enhanced-US are proposed. The blood flow perfusing the tumor, the blood volume corresponding to the percentage of vessels of total tumor or the diffusion of contrast agent are parameters calculated from the acquisition of time intensity curves during several minutes (TIC). Blood flow, blood volume and mean transit time could be calculated by DCE-US, DCE-MRI and CT-perfusion. But the capillary permeability and the interstitial volume could be evaluated only with DCE-MRI and CT-perfusion because US contrast agent is strictly intravascular. These functional imaging techniques allow predicting earlier the clinical response to targeted treatments before the modification of tumoral volume evaluated according to RECIST criteria.

Dynamic contrast-enhanced ultrasonography (DCE-US) with quantification of tumor perfusion: a new diagnostic tool to evaluate the early effects of antiangiogenic treatment.

Dynamic contrast-enhanced ultrasonography (DCE-US) using the contrast agent Sonovue and vascular recognition imaging software is a novel technique that enables the detection of microvessels and quantitative assessment of solid tumor perfusion using raw linear data. Clinical trials have shown that DCE-US can be used to assess the anticancer efficacy of antiangiogenic treatment, for which conventional efficacy criteria based on size are unsuitable. Reduction in tumor vascularization can easily be detected in responders after 1-2 weeks and is correlated with progression-free survival and overall survival. DCE-US is supported by the French Cancer National Institut. This program is currently studying the technique in metastatic breast cancer, melanoma, colon cancer, gastrointestinal stromal tumor, and renal cell carcinoma, as well as in primary hepatocellular carcinoma, to establish the optimal perfusion parameters and timing for quantitative anticancer efficacy assessments.