View clinical trials related to Lung Cancer.
Filter by:This study, based on the Internet platform, involving family caregivers in preoperative management, not only promotes patient compliance with preoperative rehabilitation exercise, but also provides multi-way rehabilitation measures for elderly patients with limited mobility or medical difficulties, and also provides new ideas for other specialties。
This first-in-human study will evaluate safety, tolerability, anti-tumor activity, immunogenicity, pharmacokinetics and pharmacodynamics of PHN-010, a novel antibody-drug conjugate (ADC), in patients with advanced solid tumors.
Randomized Clinical Trial of the impact of Chest radiograph AI-assisted triage and report generation upon clinical outcomes and an economic analysis of impact of AI decision support on radiology service delivery.
The purpose of the study is to evaluate the efficacy and safety of multimode thermal therapy for early peripheral lung cancer, and to explore the changes of systemic immune microenvironment after multimode thermal therapy.
This research constitutes a multi-centric, case-control designed investigation aimed at developing and implementing a blinded validation of a machine learning-powered, multi-cancer early detection model. This is to be achieved through the prospective collection of blood specimens from newly diagnosed cancer patients and individuals devoid of a confirmed cancer diagnosis
Multi-site randomized trial of the THRIVE digital health application versus usual care to evaluate the effect of THRIVE on quality of life (QOL), physical and psychological symptoms, coping, and self-efficacy in 250 patients with newly diagnosed advanced lung cancer.
A Prospective, open label, multi center, single arm, First in Human study to assess the safety and initial performance of EAS1 system for Irreversible Electroporation (IRE) ablation of lung cancer in subjects eligible for tumor resection
This study aims to investigate the accuracy of using pleural ultrasound (USP) to identify pleural adhesions in patients who plan to receive video-assisted thoracoscopic surgery. It employs three-dimensional convolutional neural network (3D-CNN) technology to process USP-related images and video data for machine learning, and to establish a diagnostic model for identifying pleural adhesions using 3D-CNN-USP. The study will determine the sensitivity, specificity, positive predictive value, and negative predictive value of 3D-CNN-USP in identifying pleural adhesions. Additionally, it will explore the feasibility and effectiveness of using 3D-CNN-USP for preoperative identification of pleural adhesions in VATS, thereby supporting the implementation of day surgery in thoracic surgery and ultimately serving clinical practice.
Multimodal analgesia (MMA) is an essential part of Enhanced Recovery After Surgery (ERAS) protocol. The principle of MMA is to manage pain with analgesics of multiple classes acting on distinct target sites through different strategies. MMA can reduce the adverse reaction caused by opioids and improve the quality of recovery from surgery. Inadequate postoperative pain management will increase the risk of complications, including pneumonia, deep vein thrombosis, infection, delayed surgical healing, and chronic postoperative pain.
Co-design will be implemented to develop an innovative, Veteran-centered intervention (Vet Peer Connects program) that meets the needs of Black Veterans. Next, a feasibility pilot test of the Vet Peer Connects program will be conducted. The Peer will lead up to 4 group lung cancer screening orientations in community partner sites to reach around 40 lung cancer screening eligible Black Veterans. The Peer will provide one-to-one tailored support to up to 15 Veterans (coaching, goal-setting, navigation to access Veterans Affairs lung cancer screening). Then, the study team will evaluate program delivery through ethnographic observation and field notes, Peer activity logs, and weekly check-ins between the study team and Peer. Investigators will interview Veteran participants, community partners, and lung cancer screening clinical staff to explore feasibility and acceptability of the Vet Peer Connects program and solicit suggestions for improvement. Preliminary data on the outcomes of the Vet Peer Connects program will be collected by study team through administering surveys to assess change in Social Cognitive Theory constructs, and extracting lung cancer screening uptake and tobacco treatment 3 months post enrollment from VA's Corporate Data Warehouse. This work will inform a subsequent multi-site stepped-wedge trial to assess effectiveness, implementation, and cost of the Vet Peer Connects program in VA lung cancer screening sites and neighboring branches of the National Association for Black Veterans