Clinical trials: Prognostic Cancer Model
Colorectal Cancer, Peritoneal Metastases
Development and Validation of a PSN-AI Prediction Model
Heterogeneity concerning survival in synchronous peritoneal metastasis from patients with colorectal cancer exists, thereby further classification is urgently required.
- Trial name
- PSN-AI (NCT06231524)
- Testing
- Analyse pathologic slides
- Where
- China
- Volunteers
- 50 people
- Sponsor
- Sixth Affiliated Hospital, Sun Yat-sen University
Breast Diseases, Artificial Intelligence
Diagnosis Predictive Modle for Dense Density Breast Tissue Based on Radiomics
It is a prospective, observational cohort study of patients with dense breast tissue. The study was based on the radiomics and other clinicopathological information of patients to establish the diagnostic system for breast…
- Conditions
- Breast Diseases, Artificial Intelligence, Dense Breast Density, Predictive Cancer Model
- Trial name
- NCT04535466
- Where
- China
- Volunteers
- 1,000 people
- Sponsor
- Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
Breast Cancer
Prospective Validation of Ataraxis AI Test for Predicting Treatment Response in Neoadjuvant Breast Cancer
This study evaluates the real-world clinical workflow integration of a previously developed artificial intelligence (AI) prognostic test in breast cancer patients receiving neoadjuvant chemotherapy, and validates its accuracy in…
- Trial name
- ATARAXIS NEOP (NCT07327970)
- Testing
- multi-modal foundation AI test
- Where
- South Korea
- Volunteers
- 150 people
- Sponsor
- Young-Joon Kang
Diffuse Large B Cell Lymphoma
A Novel Prognostic Model of NPI for Risk-Predicting and Clinical Decision-making in Diffuse Large B-Cell Lymphoma in the Rituximab Era
The purpose of this study is to determine the predictive value of a model of Nomogram Prognostic Index (NPI) in patients with Diffuse Large B cell lymphoma.
- Trial name
- NCT04624971
- Where
- 3 sites in China
- Volunteers
- 2,000 people
- Sponsor
- Sun Yat-sen University
Lymphoma, T-Cell, Peripheral
18F-FDG PET/CT-based Prognostic Model for Predicting Outcome in Patients With Peripheral T-cell Lymphoma
The purpose of this study is to evaluate whether 18F-FDG PET/CT-based prognostic model of PTCL can predict disease progression
- Trial name
- NCT03051581
- Testing
- 18F-FDG PET/ CT
- Where
- China
- Volunteers
- 80 people
- Sponsor
- Peking University Cancer Hospital & Institute
Lymphoma, Extranodal NK-T-Cell
18F-FDG PET/CT-based Prognostic Model for Predicting Outcome in Patients With Natural Killer/T-cell Lymphoma
The purpose of this study is to evaluate whether 18F-FDG PET/CT-based prognostic model of NK/T-cell lymphoma can predict disease progression
- Trial name
- NCT03051555
- Testing
- 18F-FDG PET/ CT
- Where
- China
- Volunteers
- 60 people
- Sponsor
- Peking University Cancer Hospital & Institute
Predictive Cancer Model, Pancreas Cancer
A Preoperative Model to Predict the Lymphovascular Invasion in Pancreatic Ductal Adenocarcinoma
Importance: Lymphovascular invasion (LVI) is a poor prognosis pathologic feature in pancreatic ductal adenocarcinoma (PDAC) patients. Neoadjuvant therapy may bring survival benefits to these patients.
- Trial name
- NCT05997147
- Where
- China
- Volunteers
- 1,009 people
- Sponsor
- Tianjin Medical University Cancer Institute and Hospital
Non Small Cell Lung Cancer
Prognostic PET/CT Model in Non Small Cell Lung Cancer
Prospective validation of a prognostic model based on advanced PET/CT image analysis in non small cell lung cancer
- Trial name
- NCT03199599
- Where
- France
- Volunteers
- 150 people
- Sponsor
- Poitiers University Hospital
Multiple Myeloma
Cohort Construction and Prognostic Model Construction for Multiple Myeloma
Multiple myeloma (MM) is a disease caused by malignant plasma cell proliferation disorder. Survival outcomes continue to vary widely even within uniformly treated clinical trial populations.
- Trial name
- NCT06366802
- Where
- China
- Volunteers
- 1,000 people
- Sponsor
- The First Affiliated Hospital of Soochow University
Advanced Cancer, Nutrition Aspect of Cancer
Nutrition Assessment in Advanced Cancer Patients
The goal of this retrospective observational study is to evaluate the prognostic value of nutrition assessment tool in advanced cancers.
- Conditions
- Advanced Cancer, Nutrition Aspect of Cancer, Prognostic Cancer Model
- Trial name
- NCT06323135
- Where
- China
- Volunteers
- 2,115 people
- Sponsor
- West China Hospital
IBD (Inflammatory Bowel Disease), Colon Cancer
Microbiota: Its Role in Chronic Inflammation, IDB and Risk of Colorectal Cancer. Evaluation of a Predictive Prognostic Model With Therapeutic Implications
The gut microbiome is emerging as a crucial factor in several intestinal diseases, contributing to the etiopathogenesis of inflammatory disorders.
- Trial name
- NCT07106463
- Where
- Italy
- Volunteers
- 100 people, healthy volunteers welcome
- Sponsor
- University of Messina
Hepatocellular Carcinoma
The AI Prognostic Assessment and Pathological Basis Research of Early HCC After Minimally Invasive Treatment
The study evaluates artificial intelligence method based on multimodal magnetic resonance imaging (MRI) images and clinical data in preoperative prediction of prognosis in early hepatocellular carcinoma (HCC) patients treated…
- Trial name
- NCT04299919
- Testing
- Minimally invasive treatment, Hepatectomy
- Where
- China
- Volunteers
- 1,200 people
- Sponsor
- The First Affiliated Hospital of Dalian Medical University
Non-Hodgkin Lymphoma
Development of Prognostic Models for Response and Toxicity to CAR-T Cell Therapy in Patients with Relapsed/refractory Non Hodgkin's Lymphoma.
Observational, single-center, tissue-based cohort study involving both retrospective and prospective enrollment of patients undergoing CAR-T cell therapy and up to 1 year of prospective follow-up necessary to detect the outcomes…
- Trial name
- CLIO (NCT06720701)
- Where
- Italy
- Volunteers
- 125 people
- Sponsor
- IRCCS Azienda Ospedaliero-Universitaria di Bologna
Lymph Node Metastases, Breast Cancer
A Prospective Validation Cohort Study of a Prediction System on nSLN Metastasis in Early Breast Cancer
In the previous study, the investigator established a predictive model for non-sentinel lymph node involvement in early breast cancer (cT1-2cN0, 1-2 SLNs involvement).
- Conditions
- Lymph Node Metastases, Breast Cancer, Predictive Cancer Model
- Trial name
- NCT03280134
- Testing
- axillary lymph node dissection (ALND)
- Where
- China
- Volunteers
- 388 people
- Sponsor
- Zhejiang Cancer Hospital
Predictive Cancer Model
Prospective Validation of Liver Cancer Risk Computation (LIRIC) Models
The goal of this prospective observational cohort study is to validate previously developed Hepatocellular Carcinoma (HCC) risk prediction algorithms, the Liver Risk Computation (LIRIC) models, which are based on electronic…
- Trial name
- NCT06140823
- Testing
- Liver Risk Computation Model (LIRIC), Liver Risk Computation Model (LIRIC)_cirrhosis, Liver Risk Computation Model (LIRIC)_no_cirrhosis
- Where
- United States
- Volunteers
- 6,000,000 people, healthy volunteers welcome
- Sponsor
- Beth Israel Deaconess Medical Center
Non-small Cell Lung Cancer
Multiomics Tumor Evolution Model of NSCLC
The purpose of this study is to determine the evolutionary mechanism of early-stage non-small cell lung cancer and establish an accurate prognostic model and a recurrence monitoring system by multiomics analysis, which can be…
- Trial name
- NCT05352035
- Where
- China
- Volunteers
- 300 people
- Sponsor
- Peking University People's Hospital
Advanced Solid Tumors Cancer, Hospitalizations
Biological Age Predicts 90-Day Mortality in Advanced Cancer
This retrospective study evaluates whether biological age, calculated using the PhenoAge model, predicts short-term outcomes in patients with advanced cancer who were hospitalized.
- Trial name
- BIOAGE-CAN (NCT07035470)
- Testing
- PhenoAge-Based Biological Age Assessment
- Where
- Turkey (Türkiye)
- Volunteers
- 1,615 people
- Sponsor
- Ankara Etlik City Hospital
Gastric Cancer
CT Imaging and Clinical Features to Predict Outcomes in Patients With Gastric Cancer
The goal of this prospective observational study is to evaluate how well a previously developed prediction model can estimate outcomes in adults with gastric cancer.
- Trial name
- NCT07776067
- Testing
- No intervention (observational study)
- Where
- China
- Volunteers
- 600 people
- Sponsor
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
Prognostic Cancer Model
Prognostic Significance of ctDNA in HL
Specific somatic mutations using ctDNA will be analyzed in predefined subgroups of cHL (e.g., age <60 and ≥ 60 years, EBV). These mutations will be correlated with response to the treatment in the first line, in the relapse…
- Trial name
- NCT06263530
- Where
- 5 sites in Czechia
- Volunteers
- 500 people
- Sponsor
- Interni hematologicka klinika FNKV
Hepatocellular Carcinoma
Comprehensive Prognostic Model: The Study Introduces a Novel Prognostic Model That Incorporates a Wide Range of Clinical and Laboratory Variables, Providing a More Holistic Approach to Predicting Overall Survival in HCC Patients
Background: Hepatocellular carcinoma (HCC) is a significant health problem in China, with high incidence and mortality rates. This study aimed to identify the prognostic factors of elderly HCC patients in southwest China and…
- Trial name
- NCT06550739
- Testing
- Randomization
- Where
- China
- Volunteers
- 1,053 people
- Sponsor
- Haike Lei