Carcinoma, Hepatocellular Clinical Trial
Official title:
Diagnostic Significance of Single Center, Open and Prospective Evaluation of <Sup>18<Sup>F-FDG PET/CT Dynamic Imaging and Genomic Sequencing in Detecting Metastatic Lesions of Primary Hepatocellular Carcinoma
The aim of this study is to make up for this gap by performing a dynamic scan of 18F-FDG PET/CT on newly diagnosed patients with liver cancer. The lesions and/or metastases are performed for biopsy. Pathological and genomic studies are performed. The differences between tumor images and tissues are compared at the same time. 18F-FDG PET/CT dynamic imaging is explored in primary liver cancer metastases for the diagnostic value.
Status | Recruiting |
Enrollment | 60 |
Est. completion date | August 2025 |
Est. primary completion date | March 12, 2025 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years to 65 Years |
Eligibility | Inclusion Criteria: - Accurately diagnosing primary liver cancer according to pathological diagnostic criteria or clinical diagnostic criteria. - Tumor volume (> 1 cm) displayed by enhanced CT or MRI or liver mass confirmed by arteriography . - For patients considering distant metastases, trunk metastases need to be confirmed by CT examination. Bone metastases need to be confirmed by whole-body bone scan. Brain metastases need to be confirmed with characteristic metastatic tumors by MRI. - The age is more than 18 years old and less than 65 years old. There is no gender restriction. - Untreated patients who have not received surgery, interventional therapy, chemotherapy, biotherapy, and radiation therapy. - Physical condition score ECOG: 0-2; no major organ dysfunction; oxygen partial pressure = 10.64kPa; white blood cell count= 4 × 109/L; hemoglobin = 9.5g/dL; neutrophil absolute count = 1.5 × 109 / L; platelet count = 100 × 109 / L; total bilirubin = 1.5 times of the upper limit of normal value; creatinine = 1.25 times of the upper limit of normal value; and creatinine clearance = 60ml / min. - Be able to obtain complete follow-up information, understand the situation of this study and sign informed consent. Exclusion Criteria: - Poorly controlled diabetics (fasting blood glucose levels > 200 mg/dL). - In addition to four types of malignant tumors that can be treated with radical resection, such as cervical cancer in situ, basal or squamous cell skin cancer, (breast) ductal carcinoma in situ, and organ localized prostate cancer, suffering from any other malignant tumors within 5 years. - Breastfeeding and/or pregnant women. - Patients with severe bleeding tendencies (prothrombin time less than 50%, cannot be corrected by treatment with vitamin K, etc.). - Recent severe hemoptysis, severe cough, dyspnea or patients are not able to cooperate. - People with severe emphysema, pulmonary congestion, and pulmonary heart disease. - Researchers believe that the subject may not be able to complete this study or may not be able to comply with the requirements of this study (for management reasons or other reasons). |
Country | Name | City | State |
---|---|---|---|
China | Hongjun Jin | Zhuhai | Guangzhou |
Lead Sponsor | Collaborator |
---|---|
Fifth Affiliated Hospital, Sun Yat-Sen University |
China,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Calculating the overall diagnostic sensitivity and specificity and ROC | For each patient enrolled in the study, a two-chamber four-parameter model (2TCM) and a Patlak two-parameter model are established using 18F-FDG PET/CT dynamic scans. Summarizing these dynamic model parameters for all enrolled patients separately calculates the overall diagnostic sensitivity and specificity. Calculate ROC based on sensitivity and specificity. | 60 minutes | |
Secondary | Calculating the overall diagnostic sensitivity and specificity and summarizing the intrinsic correlations | Summarize the genetic testing of all enrolled patients and radiomic indicators to calculate the overall diagnostic sensitivity and specificity. At the same time, the intrinsic correlations between genomics, gene detection and histopathology are summarized. | 60 minutes |
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