Active clinical trials for "Neoplasm Metastasis"

This clinical study is a parallel, prospective observational single-centre trial in patients presenting with 5 to 30 brain metastases. Patients to receive either stereotactic radiosurgery (SRS) alone or SRS plus whole brain radiation (WBRT) will be enrolled.

Peritoneal metastasis of gastric cancer is difficult to be detected in time, thus delaying treatment. Based on the conventional CT images of gastric cancer, this study plans to develop, improve and validate an intelligent analysis system based on radiomics. By extracting and combining the radiomics features related to peritoneal metastasis of gastric cancer, the intelligent analysis system could predict the risk of peritoneal metastasis, and provide personalized decision suggestions for the treatment of gastric cancer.

By incorporating dual-tracer PET/CT (PSMA and FDG) and ctDNA, we aimed to evaluate lesion heterogeneity and genomic change of mCRPC patients receiving novel hormonal therapy. The relationship between treatment response and different molecular characterization, as well as imaging features would also be evaluated.

This is a comparative study using resected/ biopsied tumors samples collected from renal cell carcinoma and urothelial carcinoma patients who underwent surgical removal of lesions, followed by immune checkpoint blockade (ICB) treatment targting programmed cell death 1 (PD1) but developed new lesions later were also removed and stored in the biosample repository (BSR). The histology and genomic analysis of the pre-treatment and metastatic samples from the same patient would be used to find out the changes that may have lead to metastasis. Also, metastatic samples from ICB naive patients would be collected and compared with those from ICB treated patients to find out if the metastasis in treated patients was due to development of reistance.

This study represents a survivorship protocol that focuses on cognition and health-related quality of life (HRQoL) in cancer patients that have received prior brain irradiation. The primary purpose of this study is to assess the feasibility of using a digital symptom tracking application focused on HRQoL and cognition in cancer survivors who received brain irradiation.

This prospective single arm double-blind study approved by the Ethics Committee of the institution, will be conducted on at the Oncology Institute of Vojvodina in Sremska Kamenica, Serbia. Patients with colo-rectal cancer liver metastases (CRLM) is presented to the multi-disciplinary team (MDT).Screening and enrolment is conducted after established of indication for resection. The surgeons assesses resection margin (RM) for every resected liver specimen (RLS) intra-operatively by inspection and palpation. These data will be compared with pathological RM examination as a "gold standard". Resection margin of 1 mm or more will be rated as negative RM (RM-) otherwise RM is positive (RM+). Taking the result of the pathohistological examination as "gold standard" it is determined that RM is true positive when the pathologist and surgeon agreed that the RM is positive. False negative RM is when the surgeon assesses RM as negative and pathologist as positive. The sensitivity of the surgical assessment of RM+ is defined as the rate of RM+ which was correctly identified. True negative RM is determined when the pathologist and surgeon agreed that it is negative RM. False positive RM defined when the surgeon assessed RM as positive, but pathologist found that it was RM-. The specificity of the surgical assessment of RM is defined as the rate of RM- which is correctly identified. Total accuracy represents the rate of correctly recognized positive and negative RM, relative to the total number of samples. Agreement between surgeon and pathologists finding will be analyzed as well as difference between them. Disease recurrence and disease-free survival (DFS) will be analyzed by RM.

Preoperative chemotherapy is often used for patients with colorectal cancer liver metastasis (CLM). Many small CLMs (<=2cm) may disappear after chemotherapy, while most of these are still alive. Ultrasonography (US) is a common imaging modality for the intraoperative detection tumor. Sonazoid is new echo-contrast agent, which is more stable and sensitive for detecting of small tumor. Investigators initially this prospective study to compare the detection performance before and after using sonazoid.

After "wedge resection" surgery, the physiotherapy programs proposed in the literature are heterogeneous and there are few data on the outcomes of such treatments in an oncological population for bone cancer. The aim of the study is to describe the early rehabilitation process after wedge resection surgery secondary to bone tumor pulmonary mestasasis, highlightining the possible functional recovery in the short and medium term after surgery and indentifying the possible prognostic factors.

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.