View clinical trials related to Lymph Node Metastasis.
Filter by:The objective of this research is to investigate the clinical outcomes of modified surgical techniques such as omitting the cervical linea alba suture in transthoracic endoscopic thyroidectomy. Furthermore, the study requires the collection of normal thyroid tissues, benign and malignant thyroid tumors, and lymph nodes to further clarify the mechanisms associated with the initiation, progression, metastasis, and recurrence of thyroid cancer.
This study is a retrospective exploratory trial conducted at a single center, aiming to develop and validate a preoperative lymphatic metastasis model for cervical cancer using artificial intelligence deep learning. The model is trained using preoperative imaging and postoperative pathological findings of cervical cancer patients, with the goal of enhancing the accuracy of lymphatic metastasis prediction through preoperative imaging and offering insights for treatment decisions.
In our prior research, a risk scoring model for the occurrence of lymph node metastasis in patients who underwent radical gastrectomy for gastric cancer was established. To further validate this scoring model, a prospective study has been designed with the aim of prospectively assessing the model's clinical applicability.
The goal of this observational study is to learn about the the pattern of metastasis of the No.253 lymph node in colorectal cancer. The main questions it aims to answer are: 1. What are the risk factors for metastasis to the No.253 lymph node? 2.What is the prognosis for patients with metastasis to the No.253 lymph node? Patients with descending colon cancer, sigmoid colon cancer, and rectal cancer who undergo curative surgery with dissection of the No.253 lymph node are included in this study
Lymph node metastases are a strong prognostic predictor for pancreatic cancer. Para-aortic lymph nodes (PALN) are the final nodes for periampullary cancers before the cancer cells enter the systemic lymphatic circulation. Some consider these nodes to be regional lymph nodes and dissect them as a part of a routine lymphadenectomy for pancreatic cancer. Others argue that metastases to these nodes represent systemic disease and recommend that radical surgery including extended lymphadenectomy should be abandoned. The aim of this study is to define the incidence and clinical consequences of PALN metastasis in patients submitted to a tentative curative resection for carcinoma of the head of the pancreas by systematically resecting paraaortic lymph nodes. Primary outcome 1) To determine incidence of PALN metastasis in patients submitted to a tentative curative resection Secondary outcomes 1. To determine prognosis of patients with PALN metastasis after a curative resection 2. To determine incidence of metastasis in reginal lymph nodes in patients submitted to a tentative curative resection. 3. To determine prognosis of patients with metastasis in regional lymph nodes in patients submitted to a tentative curative resection. 4. To address the question of how to optimize the frozen section analyses of PALN as related to the final pathology report. 300 patients are planned to be included in the trial.
This is a clinical trial from Eastern Cooperative Thoracic Oncology Project (ECTOP), numbered as ECTOP-1018. The goal of this clinical trial is to confirm the theraputic effect of selective lymph node dissection for cT1N0M0 invasive non-small cell lung cancer with CTR>0.5 located in the apical segment. The main questions it aims to answer are: The 5-year overall survival of patients having cT1N0M0 invasive non-small cell lung cancer with CTR>0.5 located in the apical segment; The post-operative lymph node metastasis and recurrence-free survival. Participants will receive selective lymph node dissection as the surgical procedure.
Breast cancer is a malignant tumor with the highest morbidity and mortality among women worldwide. Accurate staging of axillary lymph nodes is critical for metastatic assessment and decisions regarding treatment modalities in breast cancer patient. Among patients who underwent sentinel lymph node biopsy, about 70 % of the patients had negative pathological results and in other words, these 70 % of the patients received unnecessary surgery. At present, imaging and pathological diagnosis is the main measure of lymph node metastasis in breast cancer. However, limitations remained. Artificial intelligence, including deep learning and machine learning algorithms, has emerged as a possible technique, which can make a more accuracy prediction through machine-based collection, learning and processing of previous information, especially in radiology and pathology-based diagnosis. With the intensification of the concept of precision medicine and the development of non-invasive technology, the investigators intend to use the artificial intelligence technology to develop a serum and tissue-based predictive model for sentinel lymph node metastasis diagnosis combined with imaging and pathological information, providing specific, efficient and non-invasive biological indicators for the monitoring and early intervention of lymph node metastasis in patient with breast cancer. Therefore, the investigators retrospectively include serum samples from early breast cancer patients undergoing sentinel lymph node biopsy, including a discovery cohort and a modeling cohort. Metabolites were detected and screened in the discovery cohort and then as the target metabolites for targeted detection in the modeling cohort. Combined with preoperative imaging and pathological information, a prediction model of breast cancer sentinel lymph node metastasis based on serum metabolites would be established. Subsequently, multi-center breast cancer patients will prospectively be included to verify the accuracy and stability of the model.
This study is a multicenter prospective clinical study that aims to evaluate the predictive value of preoperative PET-CT results (such as SUV uptake, size of tumor lymph nodes, and differences in FDG uptake compared to surrounding tissues) for lymph node metastasis in patients with non-small cell lung cancer. During surgery, all patients underwent systematic mediastinal lymph node dissection. The final pathological results were used to assess the predictive value of PET-CT for segment-specific lymph node metastasis.
Based on the evidence summarized in the introduction, the clinician hypothesize that the detection of the presence and expression of HPV-DNA, certain miRNAs, and a certain mutational profile in the tissues and biological fluids of these patients, may have important prognostic and diagnostic value not only in HPV-related OPSCCs but also in HPV+ occult T. Accordingly, this study aims to aim to better characterize their potential as biomarkers and to detect the possibility of their their use to implement the sensitivity and specificity of radiological methodologies (PET-CT and MRI), already in use in clinical practice, for monitoring disease progression in this specific subgroup. Finally, by using the collected material to generate organoids and Patient Derived Xenograft (PDX), the study also aims to identify possible new molecular drugs, which could solve the problem of resistance to radiochemotherapy.
The goal of this observational study is to visualize the small vessels in normal and cancerous lymph nodes on the neck with a new ultrasound technique. The main questions it aims to answer are: - Is it possible to visualize the network of the smallest vessels in lymph nodes on the neck? - Is it possible to distinguish between healthy and cancerous lymph nodes using different parameters? The participants will have 1-2 lymph nodes ultrasound scanned with a standard ultrasound technique and the new technique.