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Lymphatic Metastasis clinical trials

View clinical trials related to Lymphatic Metastasis.

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NCT ID: NCT06130644 Completed - Colorectal Cancer Clinical Trials

Early Lymph Node Metastasis in T1/2 Stage Colorectal Cancer: Molecular and Clinical Insights

Start date: January 1, 2003
Phase:
Study type: Observational [Patient Registry]

The prognostic implications of lymph node metastasis in colorectal cancer patients at an early stage, specifically T1/2 stage, are relatively unfavorable. Therefore, understanding the clinical and molecular traits relevant to metastasis in T1/2 stage are of substantial clinical importance.

NCT ID: NCT06124469 Completed - Thyroid Cancer Clinical Trials

UNN-RADS Scale for Diagnosing Lymph Node Metastasis in Patients With History of Thyroid Cancer

Start date: March 15, 2022
Phase:
Study type: Observational [Patient Registry]

In 2020, Sarda-Inman et al., developed the Ultrasound Neck Node Reporting and Data System (UNN-RADS) scale that allows decision-making about when it is appropriate to perform FNA of a cervical lymph node, evaluating seven ultrasonographic descriptors (shape, margins, echogenicity, echogenicity of the hilum, vascularity and the presence/absence of calcifications, and cystic degeneration), features that have been associated with metastatic lymph nodes, with scores ranging from 0 to 3 points, which allows categorize into 5 different risk groups. Thus, the objective of this study is to evaluate the ultrasound characteristics of metastatic LN in patients undergoing TC follow-up and to validate the UNN-RADS scale for the diagnosis of LN Metastasis in Patients with a history of TC.

NCT ID: NCT06095362 Enrolling by invitation - Surgery Clinical Trials

Thyroid Cancer and Central Lymph Node Metastases Detection Using Bevacizumab-IRDye800CW

TARGET-beva
Start date: November 29, 2021
Phase: Phase 1
Study type: Interventional

Background: Papillary thyroid cancer (PTC) patients often develop central lymph node metastases (CLNM), which pose a high risk of disease recurrence. The prophylactic central lymph node dissection (PCLND) is controversial, with proponents arguing for it to prevent local recurrence, and opponents objecting to the hypoparathyroidism and nerve damage risk. Currently, no diagnostic tool exists to identify patients who would benefit from a PCLND. Molecular Fluorescence Guided Surgery (MFGS) is a potential solution that uses fluorescent tracers to detect cancerous tissue. This study aims to investigate whether the administration of a GMP-produced near infrared (NIR) tracer, bevacizumab-IRDye800CW, targeting VEGF-A, can enable intraoperative selection of PTC/FTC/HTC patients for CLND. Objective: The primary objective of the study is to determine the optimal dose of bevacizumab-IRDye800CW for an adequate tumor-to-background ratio (TBR) in PTC/FTC/HTC lymph node metastases. The secondary objectives are to evaluate the feasibility of MFGS for PTC/FTC/HTC and nodal metastasis assessment, to correlate and validate fluorescence signals detected in vivo with ex vivo histopathology and immunohistochemistry, to evaluate the distribution of bevacizumab-IRDye800CW on a microscopic level, and to quantify the sensitivity and specificity of bevacizumab-IRDye800CW for PTC/FTC/HTC and nodal metastasis. Study Design: The TARGET-BEVA study is a non-randomized, non-blinded, prospective, single-center phase I feasibility study for patients with confirmed PTC/FTC/HTC, for which the best TBR dosage group in PTC/FTC/HTC nodal metastasis will be determined. The study will initiate with a 3 x 3 scheme: 4,5 mg, 10 mg, and 25 mg, with three patients confirmed with lymph node metastasis in each group. Dosages will be based on previous studies, with the primary objective being the detection of lymph node metastasis. After the first 9 patients, an interim analysis will be performed, after which the best dosage group will be expanded with another 7 patients. Conclusion: The study aims to identify a novel diagnostic tool that can aid clinicians in selecting patients for PCLND, enabling a reduction in overtreatment, morbidity, and costs while maintaining effectiveness with a lower recurrence rate and improved quality of life.

NCT ID: NCT06091423 Recruiting - Clinical trials for Gastric Cancer/Gastroesophageal Junction Adenocarcinoma

XELOX Combined With Fruquintinib and Sintilimab Regimen Conversion Therapy for Gastric Cancer/Gastroesophageal Junction Adenocarcinoma Only With Liver and/or Retroperitoneal Lymph Node Metastasis, a Prospective Single-arm, Multicenter Study

Start date: October 25, 2023
Phase: Phase 2
Study type: Interventional

Gastric cancer is the third leading cause of morbidity and mortality among malignant tumors in China, and less than 30% of patients can be cured by surgery. Liver metastasis, retroperitoneal lymph node metastasis and peritoneal metastasis are the most common metastatic sites of gastric cancer, which are also the important causes of death. Improve the conversion of oligonucleotides transfer patients resection rate, prolonged progression-free survival of these patients, is an important direction to improve survival of patients with advanced gastric cancer; This study was a prospective, single-arm, multi-center clinical study. We plan to treat patients with gastric cancer/gastroesophageal junction adenocarcinoma with liver and/or retroperitoneal lymph node metastasis only with XELOX regimen + fruquinitinib + sintilimab for 4-6 cycles before surgery/ablation conversion therapy to achieve tumor-free status as far as possible. To explore the value of conversion therapy in patients with intrahepatic oligometastasis of gastric cancer.

NCT ID: NCT06068387 Recruiting - Clinical trials for Locally Advanced Cervical Cancer

A Prospective Study on the Prediction Model of Para-aortic Lymph Node Metastasis

Start date: March 1, 2023
Phase: N/A
Study type: Interventional

The goal of this prospective single-arm trial is to investigate the accuracy and feasibility of the para-aortic lymph node metastasis prediction model in locally advanced cervical cancer, as well as its impact on patients' prognosis. The main questions it aims to answer are: - Is the para-aortic lymph node metastasis prediction model accurate and feasible? - Whether the para-aortic lymph node metastasis prediction model can affect the prognosis of patients.

NCT ID: NCT06065891 Recruiting - Pancreas Cancer Clinical Trials

Para-aortic Lymph Node Metastasis in Resectable Pancreatic Cancer

PALN
Start date: September 5, 2023
Phase: N/A
Study type: Interventional

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.

NCT ID: NCT06048146 Enrolling by invitation - Rectal Neoplasms Clinical Trials

A Prospective, Multicenter Randomized Controlled Study of the Application of Preoperative FOLFOXIRI Chemotherapy Combined With Lateral Lymph Node Dissection in Low- and Medium-lying Rectal Cancer With Lateral Lymph Node Metastasis

Start date: October 1, 2022
Phase: N/A
Study type: Interventional

The goal of this clinical trial is to compare in newly diagnosed patients with resectable rectal cancer with lateral lymph node metastasis. This study aims to - further verify the safety and efficacy of FOLFOXIRI three-drug regimen - Using multiple omics techniques to identify and confirm specific molecular markers Participants will be treated with FOLFOXIRI three-drug combination regimen. Researchers will compare another group treated with conventional preoperative chemoradiotherapy to see if the experimental group is superior to the control group in terms of 3-year disease free survival, local recurrence rate, lateral lymph node positivity rate, and 5-year overall survival rate.

NCT ID: NCT06032481 Completed - Cervical Cancer Clinical Trials

System to Evaluate the Risk of Lymph Node Metastasis Preoperatively in Cervical Cancer

Start date: January 1, 2012
Phase:
Study type: Observational

The lymph node status is difficult to be assessed preoperatively, this study aimed to develop a scoring system for predicting the risk of LNM in cervical cancer patients before operation.

NCT ID: NCT06031246 Recruiting - Lung Adenocarcinoma Clinical Trials

Selective Lymph Node Dissection for cT1N0M0 Invasive NSCLC With CTR>0.5 Located in the Apical Segment (ECTOP-1018)

Start date: April 1, 2023
Phase: Phase 3
Study type: Interventional

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.

NCT ID: NCT06001528 Recruiting - Breast Cancer Clinical Trials

Serum and Tissue Metabolite-based Prediction of Sentinel Lymph Node Metastasis in Breast Cancer

Start date: January 1, 2021
Phase:
Study type: Observational

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.