View clinical trials related to Lymphatic Metastasis.
Filter by:Existing models do poorly when it comes to quantifying the risk of Lymph node metastases (LNM). This study generated elastic net regression (ELR), random forest (RF), extreme gradient boosting (XGB), and a combined (ensemble) model of these for LNM in patients with T1 esophageal squamous cell carcinoma.
The goal of this diagnostic test is to prospectively test the performance of pre-developed artificial intelligence (AI) diagnostic model for detecting pathological lymph node metastasis (LNM) of prostate cancer. Investigators had developed this AI model based on deep learning algorithms in preliminary research, and it performed well in retrospective tests. Investigators will compare the diagnostic performance (sensitivity, specificity, etc.) of the AI model and routine pathological report issued by pathologists, to see if the AI model can improve the clinical workflow of pathological evaluation of LNM in prostate cancer in the real world.
Lung cancer patients undergoing upfront surgery, highly benefit from a systematic lymph node dissection in the mediastinum and in the surgical specimens. The latter is performed by the pathologist. Developing a standardized technique to dissect the lobectomy specimen has the potential of maximizing the retrieval of all N1 stations lymph nodes. The investigators believe that the adoption of such technique will improve lung cancer staging and identify a higher number of patients that qualify for adjuvant therapies.
The oncologic benefit of lateral neck dissection (LND) during index operation for sporadic medullary thyroid carcinoma (MTC) basing on basal calcitonin (bCT) levels has been questioned due to the potential post-operative complications. This study aims to evaluate desmoplastic reaction (DSR), as predictor of nodal metastases, for definition of surgical strategy. Data from pathological report of MTC after operations between 1997 and 2022 were collected. The primary endpoint of the study was evaluating the risk factors for nodal metastases. The secondary endpoints analyzed the correlations between DSR and nodal metastases and the sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of DSR for nodal metastases.
This study involved a comprehensive analysis of 256 PTC patients from Sun Yat-sen Memorial Hospital of Sun Yat-sen University (SYSMH) and 499 patients from The Cancer Genome Atlas. DNA-based next-generation sequencing (NGS) and single-cell RNA sequencing (scRNA-seq) were employed to capture genetic alterations and TME heterogeneity. A deep learning multimodal model was developed by incorporating matched histopathology slide images, genomic, transcriptomic, immune cells data to predict LNM and disease-free survival (DFS).
This early-phase study will examine Vusolimogene Oderparepvec, a genetically modified oncolytic viral strain of the herpes simplex type 1 (HSV-1) virus, with potential oncolytic, immunostimulating and antineoplastic activities. Upon administration, vusolimogene oderparepvec specifically targets, infects and replicates in tumor cells and does not infect healthy cells. This results in tumor cell lysis and the release of virus particles which infect and replicate within nearby tumor cells, resulting in tumor cel death. The immune system is activated by the released tumor-associated antigens (TAAs) from the tumor cells creating an anti-tumor immune response against the tumor cells, thereby further killing the tumor cells. The virus itself also elicits a tumor-specific systemic immune and cytotoxic T-lymphocyte (CTL) response, thereby killing nearby non-infected tumor cells.
The goal of this observational study is to learn about in health conditions of ESCC. The main question[s] it aims to answer are: •Lymph node metastasis(LNM) in cervical paraesophageal or supraclavicular which influence OS more. Participants will describe the main status quo after surgery Researchers will compare Lymph node metastasis(LNM) in cervical paraesophageal and supraclavicular to see if dead.
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
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.
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.