Active clinical trials for "Lymphatic Metastasis"

The OBSERB study is a multi-center, non-blinded, pragmatic, parallel, randomized controlled trial in which patients with cT1-3N1 and ycN0 breast cancer.

Epithelial ovarian cancer (EOC) remains the tumour with the most unfavourable prognosis within the field of gynaecological oncology. The incidence of ovarian cancer in the Netherlands in 2008 was 14.5 per 100.000, with 12.3 deaths per 100.000. In the US in 2007 the incidence was 13.0 per 100.000 and there were 8.2 deaths per 100.000. The high mortality rate is partially due to the fact that approximately 75% of patients is diagnosed with advanced stage EOC. The remaining 25% of patients are diagnosed in an early stage, which require a complete surgical staging procedure including pelvic and para-aortic lymphadenectomy. Although this lymphadenectomy is standard-of-care, it leads to significant morbidity in these patients. Mainly direct postoperative complications such as infection, repeat surgery and early death have been reported. Also, long-term complications such as lymph cysts or lymphedema have been described. A potential method to reduce this morbidity and mortality, as already been described in other cancers such as breast cancer and vulvar cancer, is utilizing a sentinel lymph node (SLN) technique. By identifying and resecting the SLN, the patient is potentially spared form lymphadenectomy.

Digestive NETs are the second most common malignant digestive tumor after adenocarcinoma. The most common gastrointestinal NETs arise from the small intestine. These tumors have a high lymph node and distant metastatic potential (hepatic, pulmonary, etc.). Their management is essentially surgical and the extent of the resection essentially depends on preoperative data from conventional and isotopic imaging. The goal of surgical resection is to remove the portion of the small intestine carrying the tumour(s) with healthy margins (so-called R0 resection) and affected lymph nodes in the mesentery (lymph node dissection). The extent of lymph node dissection, sometimes significant, exposes you to the risk of short hail with its own complications (malnutrition, diarrhoea, etc.). Consequently, an analysis of the benefits and risks between the interest of an extensive and oncological resection (R0) and the risks of short bowel must be carried out for each patient. The reference examination to define lymph node involvement is determined by the histological examination of the resected surgical specimen (reference examination). The preoperative evaluation of lymph node extension is done by preoperative abdominal CT scan. However, the preoperative CT scan is not always consistent (sensitivity and specificity) with the pathology data (reference examination). For about 5 years, isotopic imaging (DOPA-PET and DOTATOC) has become feasible and could improve the quality of preoperative evaluation of lymph node extension. Consequently, the aim of this study is to determine the contribution of isotopic imaging (DOPA-PET and DOTATOC) in the preoperative evaluation of lymph node extension.

Lymph node involvement is the most important negative prognostic factor in cervical cancer. Reliable preoperative lymph node assessment is of utmost importance to tailor the treatment. According to the current European guidelines local extent of the disease can be assessed by magnetic resonance imaging (MRI) or by ultrasound (US), if performed by properly trained sonographer. Positron emission tomography combined with computed tomography (PET/CT) is used as a reference standard for preoperative evaluation of lymph nodes. Another technique to assess nodes combining morphological and functional characteristics is diffusion-weighted MRI (DW/MRI). While US is considered the adequate alternative to MRI in local staging of cervical cancer, there is no relevant evidence of diagnostic performace of US in nodal assessment. However, retrospective analysis of diagnostic accuracy of US from our site brought promising results. Furthermore, there are no trials prospectively investigating these three imaging methods in the same study population. The CANNES study is a prospective multicenter trial comparing diagnostic accuracy of US, PET/CT and DW/MRI in preoperative assessment of pelvic lymph nodes in cervical cancer. The study is designed to establish new standard in preoperative assessment of pelvic lymph nodes in patients with cervical cancer. Ninety-one patients will be enrolled into the study within 36 months and each of them will undergo all three imaging methods. To avoid a bias all imaging examinations will be conducted independently and blinded among sonographers, radiologists and nuclear medicine physicians. By contrast, each surgeon will have all reports from imaging available before procedure to be used as a navigation. Surgical procedures will include sentinel lymph node biopsy, debulking/sampling or systematic dissection of pelvic nodes following current European guidelines.

This is a single-center, prospective, observational and exploratory clinical study. The object of this study is to evaluate the accuracy of proteomics approaches on resected lymph node samples in evaluating lymph node metastasis status in cholangiocarcinoma patients.

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.

The SENECA study tries to evaluate the rate of lymph node involvement depending on the molecular subgroup in early-stage endometrial cancer (I/II) patients undergoing surgery as part of their treatment.

This is a prospective, observational diagnostic study aiming to assess multiparametric MRI-based clinico-radiomics for identifying lymph node metastasis status in hilar cholangiocarcinoma.

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.

Adjuvant therapy in patients affected by NSCLC is indicated in surgically treated cases of N2 disease, while the actual guidelines reported the possibility of a case-by-case decision in case of N1 involvement. On the other hand, the actual categorization of patients based on the hilar or mediastinal involvement (N1 or N2) risks to be too ineffective and straightforward for prognosis prediction and an indication of adjuvant treatments. This issue was underlined in the 8th TNM proposal for the N sub-classification, with a final proposal of different subgroups based on the number of involved stations. However, the IASLC committee noted that this proposal presented some limits due overlapping or not statistical significance among some survival curves, so the proposal was not adopted in the staging system. Moreover, the committee stated that the lack of information regarding some data such as the number of the resected or the metastatic nodes might affect the results and limited other proposals. The objectives of this study are: To evaluate the prognostic role of the kind of lymphadenectomy, the number of the resected and/or metastatic lymph nodes in surgically treated N positive patients in terms of survival. To evaluate the indication and the role of adjuvant treatments in these patients. To identify patients with increased risk of early recurrence or poor survival based on the lymph node involvement characteristics In particular, data will be collect in a prospective database including clinical and pathological data, kind of lymphadenectomy, number of resected nodes, number of metastatic nodes, kind and schedule of adjuvant therapy and follow-up status