View clinical trials related to Neoplasms.
Filter by:The goal of this study is to evaluate the pilot phase of ACS Cares to identify key implementation outcomes and assess effectiveness of the program to improve distress, enhance communication, and reduce missed appointments and healthcare utilization.
This study aims to evaluate the safety, and early signals of anti-tumor activity of PF-07820435 when administered alone (Part 1A) or in combination with sasanlimab (Part 1B; Part 2) in patients with selected advanced or metastatic solid tumors. Part 1 will be dose-finding and Part 2 of the study will further evaluate PF-07820435 at the recommended dose for combination expansion in patients with selected advanced solid tumors.
Gestational trophoblast diseases are characterized by abnormal proliferation of trophoblastic tissue, which can occur consequent to any pregnancy event. Pre-malignant forms (partial hydatiform mola and complete mola) and malignant forms are distinguished, the latter also known as gestational trophoblast neoplasms (invasive hydatiform mola, choriocarcinoma, placental site trophoblastic tumor, and epithelioid trophoblastic tumor). These are neoplasms associated with good prognosis, amenable to conservative treatment and highly sensitive to chemotherapy. The identification of ultrasonographic and echofluximetric features typical of malignant forms as well as the identification of ultrasonographic parameters predictive of chemoresistance to single-drug treatments could help improve their management.
The goal of Part 1 of this clinical research study is to find the highest tolerable dose of ASTX029 that can be given in combination with ASTX727 to participants who have RAS-mutant MDS or MDS/MPN. The goal of Part 2 of this clinical research study is to learn if the dose of ASTX029 found in Part 1 can help to control the disease when used in combination with ASTX727.
The primary objective of this study is to examine the effects of a music therapy protocol on improving anxiety, symptom distress, and relaxation among cancer patients who are going through MRI scanning. Physiological data, such as pulse rates and respiration rates will be collected. Furthermore, data about scanning efficiency will be collected to assess if scanning efficiency is affected by the protocol implementation. The secondary study objective is to assess whether or not there is a relationship between patient attention to music during the intervention process and the changes in anxiety, symptom distress, and relaxation.
Research Objectives To use AI computer-aided detection software to assist physicians in reading CT scans of lung nodules, providing auxiliary diagnostic tools for medical decision-making. The software can mark nodule locations and related information during routine physician reading. This study will obtain prospective consent to use patient CT images for software reading and compare with clinical physician diagnosis, in order to enhance software training and improve recognition of lung lesions for early diagnosis and treatment. Study Design Collect CT images of untreated lung nodules 4-30mm in size that are scheduled for surgery. No limits on age, gender, disease type, with image resolution <2.5mm. AI and clinicians will judge nodule characteristics separately. Surgical resection followed by comparison with pathology reports will evaluate diagnostic accuracy. Study Procedures A double-blinded method will be used. AI and physicians will record nodules as likely benign or malignant separately. After surgical resection, the lesions will undergo pathological staging and the diagnostic accuracy of both groups will be compared. Expected Results Compare the diagnostic accuracy of AI and clinicians to improve AI training quality, achieve early diagnosis and treatment goals, and provide patients with better medical care quality. Monitoring Method AI and clinicians will read separately, adhering to shared decision making without affecting patient access to diagnosis and treatment. Keywords: lung nodules, early lung cancer, artificial intelligence, chest CT, minimally invasive surgery, lung image analysis software
Recent studies show an increase in neuroendocrine neoplasms, especially for the digestive tract. Previous studies suggest various risk factors that were observed for various tumor sites, e.g. a family history of cancer, tobacco and alcohol consumption as well as metabolic disorders including diabetes and obesity. A risk factor that has been little studied to date is depressive disorders, which could increase the risk of neuroendocrine neoplasms either independently or through associated risk behaviors and/or antidepressant medication. The aim of this study is to identify risk factors for neuroendocrine neoplasms based on a case-control study in order to better understand the increase of neuroendocrine neoplasms in recent decades. The study is based on a record linkage of data from the Bavarian Cancer Registry and data from the Bavarian Association of Statutory Health Insurance Accredited Physicians. While the data from the Bavarian Cancer Registry enables the identification of neuroendocrine neoplasms on the basis of histopathological findings and thus is the basis for selecting cases, the claims data from the Bavarian Association of Statutory Health Insurance Accredited Physicians provides the source population as well data on diagnoses and thus enables the investigation of risk factors.
This is a Phase 2, open-label, multicenter study designed to evaluate the efficacy, safety and tolerability of IBI363 (study drug) in subjects with advanced, refractory solid malignancies.
The purpose of this study is to investigate the metastatic status of lateral pelvic lymph nodes in rectal neuroendocrine neoplasms (rNENs) undergoing laparoscopic total mesenteric excision (TME). The hypothesis is that the rate of lateral lymph node metastasis is underestimated in rNENs undergoing TME, necessitating concurrent lateral Pelvic lymph node dissection.
In this study, the efficacy of botensilimab and balstilimab in mismatch repair deficient (dMMR) and mismatch repair proficient (pMMR) tumors will be assessed.