View clinical trials related to Uterine Cervical Neoplasms.
Filter by:The goal of this study is to determine efficacy and safety of AK104 combined with I-125 brachytherapy for recurrent or metastatic cervical cancer. This is an open-label, single-center, observational study of AK104 with Iodine-125 brachytherapy in the treatment of recurrent or metastatic cervical cancer. 18 eligible patients will receive Iodine-125 brachytherapy (single implantation, half-life of 60 days, 99% of total dose given after 90 days), followed by AK104 treatment (6mg/kg Q2W) starting within 1 week of particle implantation, for a total of 6 cycles or until disease progression, intolerable toxicity, investigator decision, withdrawal of informed consent, death, or other reasons as specified in the protocol.
This is a prospective, single arm, phase II clinical study to evaluate the efficacy and safety of Zimberelimab combined with albumin-bound paclitaxel and cisplatin as neoadjuvant therapy for locally advanced cervical cancer.
This study aims to establish a holistic framework for continuous cancer survival surveillance in Russian regions with high-quality population-based cancer registry data. The data from the population-based cancer registries of the Northwestern regions of Russia will be used to assess net and cause-specific survival trends.
Artificial intelligence (AI) is fast gaining reputation as a highly promising solution for cervical cancer screening. AI-based detection of cervical neoplasias is named automated visual exam (AVE) by the National Cancer Institute, USA. The investigators propose to develop and evaluate the performance characteristics of a novel AI system to both screen and triage women as well as help in treatment decision making. AI will analyse infrared spectroscopic signals derived from urine samples of unscreened women for the presence of high-risk human papillomavirus (hr-HPV). Our preliminary study has shown that spectroscopy can detect hr-HPV in urine. For screen-positive women the AI will interpret a set of cervical images captured with a high-quality devoted camera to detect high grade cervical precancers and cancers and to determine the type of transformation zone (TZ) (helps in treatment decision). The prototype device for image capture and the AI algorithms are already developed by us. The technologies will be further improved in part 1 (initial 2 years) and validated in part 2 (subsequent 3 years). During Part 1, the investigators will analyse urine samples collected from 1100 women at multiple screening clinics in Zimbabwe for the presence of hr-HPV using spectroscopy and use the signals generated to improve the AI algorithm. In this part the investigators will also assess the concordance between hr-HPV detection in urine samples using spectroscopy and cervical human papillomavirus (HPV) detection using a validated HPV test. The cervical image recognition device and the AI algorithm will be further improved during part 1 by collecting more images from hr-HPV positive and negative women. AI will also be trained to interpret the cervical images to determine the TZ type. In part 2 total 2100 women will be screened in Zimbabwe with AI-supported spectroscopic analysis of urine to detect hr-HPV and a validated HPV test to evaluate and compare their sensitivity and specificity to detect histology-proved high grade cervical precancers and cancers. The sensitivity and specificity of AI-supported detection of cervical neoplasias on cervical images will be evaluated to triage the HPV positive women. The accuracy of AI to determine TZ type will be compared with expert opinion. During the field validation part (part 2), the investigators will also conduct a cost analysis and compare cost of our approach to current standard Zimbabwean practice. The International Agency for Research on Cancer- World Health Organization WHO (IARC-WHO) has partnered with The Neo Sense Vector Company (NSV), Delaware, USA (industry), The Engineering Department, Lancaster University, Lancaster, UK and The University of Zimbabwe, College of Health Sciences, Harare, Zimbabwe to implement this study focusing on innovation that will greatly contribute to the global elimination of cervical cancer, a WHO priority.
The MRI linac Unity is a major technological evolution in radiotherapy combining a linear accelerator with a 1.5T MRI (radiological quality). It allows to target the target volume more precisely and to adapt the daily dose distribution according to variations in the position and volume of the tumor, critical organs and the tumor response. In many studies conducted in radiology, the analysis of specific MRI sequences, particularly in radiomics, aims to characterize tumors and their sensitivity to treatment. Initial data show that in radiotherapy, it would eventually be possible to characterize the radiosensitivity of healthy and tumorous tissues. With linac 1.5T MRI, the performance of selected MRI sequences, at each session, could make it possible to identify different levels of radiosensitivity within the tumour. The reproduction of these sequences on a daily basis could make it possible to follow the variations in radiosensitivity during the treatment. The final objectives would be: 1- to adapt the doses of radiotherapy to each session with a modulation of the dose according to the daily level of intra-tumor radiosensitivity, 2- to develop Artificial Intelligence (AI) tools allowing an analysis sequences and the generation of 3D maps of intra-tumor radiosensitivity, fast and suitable for carrying out a radiotherapy session. A first work carried out in collaboration with the CREATIS lab of the University Claude Bernard Lyon 1 (UCBL1) made it possible to generate maps of tissue oxygenation from sequences produced on the MRI linac Unity of the Hospices Civils de Lyon (T2* , IVIM, Carto T2 Multi Echo-Gradient). Hypoxia is known to be the first factor of tumor resistance to irradiation. A research program is structured in collaboration with UCBL1 in order to develop radiobiological adaptive radiotherapy approaches, based on 3D maps of intra-tumoral hypoxia and their variation during treatment. Several tumor locations were selected because of the preponderant place of MRI in tumor characterization: prostate, cervix, kidney, ENT and glioblastoma. Hypoxia is not the only factor of radioresistance. Changes in the microenvironment could also impact the sensitivity of tumor cells. The program will therefore also aim to optimize the maps initially based on hypoxia, by identifying other relevant factors to be taken into account to define intra-tumor sensitivity.
This study aims to develop a diagnostic nomogram based on clinical factors with the prediction values of vaginal invasion in cervical cancer to optimize the treatment plan and surgical procedures.
Patients with recurrent or metastatic cervical cancer have very poor prognosis. For eligible patients, radiotherapy remains the choice, which has the most effective impact on the survival periods. Epidermal growth factor receptor (EGFR) is overexpressed in cervical cancer cells, anti-EGFR therapy maybe an ideal target for the treatment of cervical cancer. This study aims to discover the progression-free survival of combination therapy with nimotuzumab (an anti-epidermal growth factor receptor [EGFR] IgG1 humanized monoclonal antibody) 、Tislelizumab and radiotherapy in recurrent or metastatic uterine cervical squamous carcinoma in a single-arm, open, phase 2 clinical trial.
The lymph node status is difficult to be assessed preoperatively, this study aimed to develop a scoring system for predicting the risk of LNM in cervical cancer patients before operation.
The PROVIDENCE Trial aims to explore the improvement of sexual health and self-perceived health related quality of life (measured by Patient Reported Outcome Measures) through a multimodal intervention that includes patient education on healthy habits and the prevention of vaginal dysfunction using vaginal moisturizers and topical estrogens. To achieve this, a randomized design is proposed to assess sexual health and quality of life in patients treated for cervical cancer who undergo this intervention compared to those who receive standard care.
Multicenter, randomized, open-label, phase II clinical study comparing Dostarlimab +/- Bevacizumab with standard chemotherapy in patients with gynecological clear cell carcinoma. 198 subjects will be enrolled in this study and will be assigned to three groups in a 1:1:1 ratio. 1. Group A: Dostarlimab monotherapy - First 3 cycles: Dostalimab 500mg every 3 weeks, IV - 4 cycles ~ up to 24 months: Dostalimab 1000mg every 6 weeks, IV 2. Group B: Dostarlimab + Bevacizumab combination therapy - First 3 cycles: Dostalimab 500mg every 3 weeks, IV - 4 cycles ~ up to 24 months: Dostalimab 1000mg every 6 weeks, IV - Bevacizumab administered IV at 15 mg/kg every 3 weeks until disease progression or unacceptable toxicity 3. Group C: General chemotherapy (one of Pegylated liposomal doxorubicin, Doxorubicin, Paclitaxel, and Gemcitabine)