Contrast Enhanced Ultrasound

This study aims to establish international consensus-based quality criteria for contrast-enhanced ultrasound (CEUS) examinations of the liver and to develop a standardized tool for assessing CEUS image quality. CEUS is an established imaging technique used in clinical practice for the characterization and assessment of focal liver lesions and other liver abnormalities. Despite its increasing use, there are currently no universally accepted or validated standards for evaluating the quality and reproducibility of CEUS examinations. The primary objective of this project is therefore to identify robust and clinically relevant quality indicators for liver CEUS examinations through an international Delphi consensus process. The study focuses specifically on CEUS examinations performed in adult patients using the ultrasound contrast agent SonoVue®. The project is divided into two work packages (WP). In Work Package 1 (WP1), the study team will first conduct a structured review of the available literature and discuss potential CEUS quality criteria within the research group. Based on this process, an initial catalogue of quality indicators relating to technical, procedural, and imaging characteristics relevant to liver CEUS examinations will be developed. These proposed criteria will subsequently be evaluated through a multi-round Delphi process involving an international and interdisciplinary panel of experienced CEUS users and experts. A minimum of 20 panellists will participate across all Delphi rounds. Participants will rate their level of agreement with each proposed quality criterion using a 7-point Likert scale and may suggest additional criteria where appropriate. Newly proposed criteria supported by more than 10% of participants will be included in subsequent Delphi rounds. During each round, panellists will receive anonymised feedback summarising the responses of the group and will be invited to re-evaluate the relevance of the proposed criteria. This iterative process will continue for at least three rounds or until predefined consensus criteria are achieved. Consensus will be defined as at least 70% agreement with a rating of 6 or higher on the Likert scale. In Work Package 2 (WP2), the consensus-based quality criteria identified in WP1 will be operationalised into a comprehensive and standardized rating scale for CEUS image quality assessment. Individual criteria will be grouped into broader domains and transformed into practical assessment items and prompts. The resulting rating tool will then be circulated among all Delphi panel members for final review and feedback to ensure clarity, applicability, and international usability. The overall goal of this study is to improve standardization, quality assurance, and reproducibility in liver CEUS examinations. The developed consensus criteria and rating scale may support clinical practice, future research studies, multicentre collaborations, and educational initiatives by enabling more consistent evaluation of CEUS image quality across institutions and countries.

Hepatocellular carcinoma (HCC) is the sixth most common malignant tumor worldwide, with a significantly increased incidence among patients with liver diseases. Even if HCC can be treated by surgical resection and ablation, the 5-year recurrence rate is as high as 50-70%. The Liver Imaging Reporting and Data System (LI-RADS), released by the American College of Radiology (ACR), is a classification management system specifically designed to evaluate liver lesions in high-risk HCC patients. Since its release in 2011, the CT/MRI LI-RADS has been updated to the 2018 version. Subsequently, the CEUS LI-RADS was introduced in 2016 and updated in 2017. The CEUS LI-RADS standard has relatively high specificity but lacks sensitivity. The ESCULAP (Erlanger Synopsis of Contrast-enhanced Ultrasound for Liver lesion Assessment in Patients at Risk) standard proposed by Schellhaas et al. in Germany has high sensitivity in diagnosing HCC in patients with liver diseases . However, there is currently a lack of research on the diagnostic efficacy of these two standards for the re-discovery of liver space-occupying lesions in patients with a history of HCC. This study aims to compare the diagnostic efficacy of the two standards for recurrent HCC in patients with a history of HCC.

Porto-sinusoidal vascular disease (PSVD) is a rare clinical entity characterized by significant portal hypertension in the absence of cirrhosis on liver histology, which may or may not show specific alterations of the portal vein, sinusoids, or hepatic lobular architecture. Currently, diagnosis of this condition necessarily requires a liver biopsy and, despite some differences detected on imaging studies-and particularly on liver and spleen elastography-PSVD remains indistinguishable from cirrhosis using non-invasive tests. Contrast-enhanced ultrasound (CEUS) is an easy-to-perform, repeatable, and cost-effective examination that enables real-time assessment of parenchymal or focal liver lesion perfusion. Moreover, the application of dynamic contrast-enhanced ultrasound (DCE-US-i.e., contrast-enhanced ultrasound followed by quantitative perfusion analysis using dedicated software, such as the VueBox Software that will be used in this study) allows integration of CEUS qualitative assessment with quantitative evaluation of tissue perfusion through analysis of time-intensity curves generated during contrast transit. From this analysis, several perfusion-related parameters can be derived (for example, peak enhancement, time to peak, or area under the curve), which have already proven useful in improving differential diagnosis of focal liver lesions and in predicting treatment response and systemic therapy outcomes. To date, the use of DCE-US for the diagnosis of PSVD has not yet been described; however, based on the underlying histological alterations associated with this disease, it is reasonable to hypothesize that parameters obtained with this technique in the liver parenchyma of patients with PSVD may differ from those measured in patients with liver cirrhosis. The aim of the present project is to apply DCE-US in patients with PSVD and in patients with cirrhosis to evaluate potential significant differences in perfusion parameters, and to assess the feasibility of a non-invasive differential diagnosis between the two conditions using this technique in combination with elastography and bidimensional ultrasound data to develop a multiparametric diagnostic score.

During pregnancy, unique blood vessels form within the uterine wall, known as spiral arteries. These vessels originate from the uterine artery, which is the main artery supplying blood to the uterus. Throughout pregnancy, spiral arteries undergo significant changes to increase blood and oxygen flow to the placenta, ensuring the developing baby receives adequate nutrients. When these arteries fail to remodel properly, complications such as pre-eclampsia or fetal growth restriction can occur. Until now, direct observation and evaluation of spiral arteries during pregnancy has not been feasible. Contrast-enhanced ultrasound may provide a breakthrough in this area. In this study, the investigators aim to use this imaging technique to visualize spiral arteries after the placenta has been delivered. If successful, this could allow to assess their structural quality. Additionally, the investigators will employ ultrasound to monitor physiological changes in the uterine artery during late pregnancy (after 37 weeks), during labour, and postpartum. By conducting these measurements, the investigators hope to develop methods for detecting spiral artery abnormalities earlier in pregnancy. Early identification could enable timely interventions and help prevent severe complications.

Similarly, the burden of central lymph node metastasis affects the individualized management of patients with T1N0M0 papillary thyroid carcinoma (PTC): lymph node metastasis is a contraindication to thermal ablation; low-burden lymph node metastasis is suitable for lobectomy; and high-burden lymph node metastasis recommends total thyroidectomy. However, conventional preoperative imaging examinations have low efficacy in diagnosing central lymph node metastasis. This multicenter retrospective cross-sectional study enrolled 600 patients with T1N0M0 PTC who were admitted to our hospital from June 2018 to June 2025 and confirmed by postoperative pathology. Dynamic contrast-enhanced ultrasound (CEUS) images of the thyroid and lymph nodes before surgery were collected for all patients. Two senior ultrasound physicians unaware of the pathological results independently analyzed the images and extracted qualitative and quantitative CEUS features of lesions and suspicious lymph nodes. Taking postoperative pathological results as the gold standard, patients were divided into the high-burden metastasis group, low-burden metastasis group, and non-metastasis group. Univariate and multivariate Logistic regression analyses were used to screen independent predictors, construct a combined predictive model, and draw receiver operating characteristic (ROC) curves and decision curves to evaluate its diagnostic efficacy and clinical practicality. The primary outcome measure was the area under the curve (AUC), and the secondary outcome measures included sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and net benefit. This project is expected to achieve accurate preoperative prediction of the burden of central lymph node metastasis and realize precise and individualized treatment for patients with T1N0M0 PTC.

Neuroendocrine tumors (NETs) are a wide group of neoplasms arising from the diffuse neuroendocrine cell system that features significant molecular and biological heterogeneity. They mainly derive from the enterochromaffin cells of the gastroenteropancreatic tract (GEP-NETs) and their incidence and prevalence are steadily rising, possibly as a consequence of improving diagnostic methods and earlier detection. A major feature of GEP-NETs is their somatostatin receptor (SSTR) immunogenicity, which is relevant both for diagnostic and therapeutic purposes. For patients with unresectable or advanced disease, systemic treatment is the standard of care. In this setting, Somatostatin analogues (SSAs) are the standard first line therapy and, even if response rates are low, disease progression is halted in about two thirds of patient. Recently, targeted radionuclide therapy has claimed significant attention as a valuable treatment option for many solid neoplasms. This approach relies on the administration of a radionuclide linked to a carrier-molecule that selectively interacts with tumor associated antigens, being eventually internalized and releasing β-radiation emission and low-energy γ rays directly from the inside of the cancer cells. Peptide Receptor Radionuclide Therapy (PRRT) is strongly recommended in progressive metastatic/inoperable pretreated NETs that showed homogenous SSTRs expression by SSA positive PET-CT or single photon emission computed tomography (SPECT) imaging. Although PRRT is effective in the majority of cases, approximately 15-30% of patients will eventually progress during treatment. It is still challenging to distinguish potential responders versus non-responder patients. The identification of predictive biomarkers, apart from the required expression of somatostatin receptors, and of non-invasive diagnostic predictive exams, are an unmet need. Despite the promising clinical results, very little is known about the biological changes induced by PRRT on cancer tissue and tumor microenvironment and vascularization. The assessment of treatment' response therefore still relies on CT and PET-CT as markers of tumoral activity. Among imaging modalities, ultrasound could play a key role in this setting. Indeed, contrast-enhanced ultrasound (CEUS) allows a thorough assessment of tumor perfusion through analysis of both contrast media flow pattern and time-intensity curves. This quantitative analysis, called dynamic contrast enhanced ultrasound (DCE-US) is a novel technique that estimates tissue perfusion based on phase-specific enhancement after the injection of microbubble contrast agents. The parameters derived from this analysis could be used for treatment monitoring in oncology, as they are easily comparable through time in each patient. In order to establish the bases for standardization of DCE-US, the European Federation of Societies for Ultrasound in Medicine and Biology (EFSUMB) recently published an update on this topic.

Bladder cancer is the most common malignant tumor of the urinary system. The presence or absence of muscle invasion in early bladder cancer is an independent prognostic factor. The involvement of muscle invasion affects the choice of surgical methods and treatment. Preoperatively, the precise assessment of bladder cancer staging has important practical value. A more accurate preoperative assessment of bladder cancer staging can reduce overtreatment and provide a favorable basis for clinicians to choose more reasonable and effective surgical methods. Clinically, there has been a longstanding desire to diagnose the staging of bladder cancer through a simple, convenient, effective, and non-invasive examination. As relevant research progresses, a multi-omics diagnostic model will be beneficial in improving diagnostic efficiency. This project aims to establish a multi-omics artificial intelligence system based on deep learning and transfer learning to accurately diagnose the staging of bladder cancer and predict the efficacy of neoadjuvant chemotherapy. This system will assist in clinical treatment decision-making.

In 2016, there were 203,000 new cases of thyroid cancer in China, ranking 7th among all malignant tumours and 4th among women, and showing a rapid growth trend. Papillary thyroid cancer (PTMC) with a diameter of ≤10 mm is the most common type of thyroid cancer, accounting for about 50% to 60% of the total number of cases. Low-risk PTMC is the most common type of thyroid cancer, with low invasiveness and good prognosis. Surgery is the treatment of choice for low-risk PTMC, but it significantly affects the quality of life of patients by affecting the function of the thyroid gland and requiring long-term medication after surgery, as well as having a high incidence of intra- and postoperative complications; there are certain impacts and limitations in the actual treatment. Microwave ablation (MWA) is a therapeutic modality emerging in recent years, which has the characteristics of easy operation, precise positioning, safety and effectiveness, small postoperative damage, fast recovery, fewer complications, and does not affect the aesthetics of the patient, which not only avoids surgical trauma and reduces the anxiety of the patient, but also better preserves the function of the thyroid gland, and its clinical application is becoming more and more widespread. In recent years, the application of microwave ablation in the treatment of PTMC has received more and more attention. Ultrasound, as a first-line examination tool, is accepted by the majority of patients because of its advantages of safety, speed, efficiency, low price and painlessness. Contrast-enhanced ultrasound (CEUS) is a new examination technique developed in recent years, which can provide richer and clearer diagnostic information than conventional ultrasound and colour Doppler ultrasound. Ultrasound contrast agents (e.g. Sonovue, Sonazoid), Sonovue with sulphur hexafluoride microbubbles as the main ingredient and Sonazoid with perfluorobutane microbubbles as the main ingredient, are non-toxic, non-radioactive, do not require allergy testing, and do not have the advantages of liver or kidney toxicity, etc., and are increasingly recognised by the public. Ultrasonography is now widely used in clinical practice as the primary modality for assessing efficacy after thyroid ablation therapy. Molecular diagnosis is one of the most important tools for preoperative diagnosis and invasiveness assessment of thyroid cancer. Common thyroid cancer gene variants include point mutations such as BRAF V600E, RAS, TP53, PIK3CA, and gene integration variants such as CCDC6-RET and ETV6-NTRK3. This project intends to assess the efficacy and prognosis of microwave ablation therapy for micropapillary thyroid cancer by ultrasonography combined with genetic molecular diagnosis, which in turn will assist in clinical treatment decisions.

Ultrasound and magnetic resonance imaging (MRI) technologies have become essential tools for the diagnosis and preoperative staging assessment of bladder cancer. However, establishing a precise system suitable for clinical application remains a significant challenge, and accurate prediction of bladder cancer staging is not yet possible. Therefore, exploring a system for the precise diagnosis of preoperative staging of bladder cancer using ultrasound contrast enhancement or a combination of ultrasound contrast enhancement and MRI is of great importance. The applicant has previously demonstrated the accuracy of multimodal data analysis in the diagnosis and prediction of malignant tumors. Preliminary results from this study have shown that ultrasound contrast enhancement has a high diagnostic efficacy for the preoperative staging assessment of bladder cancer, with a high area under the curve (AUC) of 0.88, sensitivity of 83.3%, specificity of 92.5%, and accuracy of 90.8%. In this project, the applicant intends to further expand the sample size and, based on the combination of ultrasound contrast enhancement and MRI, develop a precise diagnostic system for the preoperative staging of bladder cancer to aid clinical treatment decisions.