Clinical trials: Predictive Cancer Model
Pancreatic Adenocarcinoma, Predictive Cancer Model
Prospective Validation of an EHR-based Pancreatic Cancer Risk Model
The goal of this prospective observational cohort study is to validate a previously developed pancreatic cancer risk prediction algorith (the PRISM model) using electronic health records from the general population.
- Trial name
- NCT05973331
- Testing
- Pancreatic Cancer Risk Model (PRISM)
- Where
- United States
- Volunteers
- 6,134,060 people, healthy volunteers welcome
- Sponsor
- Beth Israel Deaconess Medical Center
Prostate Cancer, Risk Assessment
PROstate Cancer Risk Calculator for ACTionable Clinical Decision-making in Nigeria
This study is a pilot trial that builds on findings from the validation of prostate cancer risk calculators in Nigerian men. The goal of the overall study is to improve the early detection of prostate cancer in a high-risk…
- Conditions
- Prostate Cancer, Risk Assessment, Clinical Decision Support Systems, Predictive Value of Tests
- Trial name
- PROACT (NCT07733440)
- Testing
- (a) Training and (b) Supported risk assessment
- Where
- Nigeria
- Volunteers
- 89 people, healthy volunteers welcome
- Sponsor
- Ahmadu Bello University
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
Headache, Pituitary Adenoma
Prediction Model for Postoperative Headache After Transsphenoidal Pituitary Surgery
Primary Objective: This observational study aims to construct a predictive model for short-term headache following endonasal pituitary adenoma surgery and to identify risk factors associated with postoperative headache after…
- Conditions
- Headache, Pituitary Adenoma, Endonasal Surgery, Predictive Model
- Trial name
- NCT07446036
- Testing
- Transsphenoidal Pituitary Surgery
- Where
- China
- Volunteers
- 500 people
- Sponsor
- Beijing Tiantan Hospital
Predictive Cancer Model, Pathologic Complete Response
Dynamic Multi-omics Integration Model to Predict Neoadjuvant Therapy Response in Locally Advanced Rectal Cancer
The goal of this observational study is to establish a dynamic multi-omics integration model for predicting pathological complete response (pCR) after neoadjuvant treatment in locally advanced (T3-4NxM0) rectal cancer, providing…
- Trial name
- NCT06364371
- Testing
- Medical examination
- Where
- China
- Volunteers
- 106 people
- Sponsor
- Sixth Affiliated Hospital, Sun Yat-sen University
Predictive Cancer Model, Hepatic Metastasis
A Clinical Prospective Study to Validate a Risk Scoring Model for the HMGC After Curative Surgery
A previous study of investigators established a risk scoring model for occurrence of postoperative hepatic metastases in patients who underwent curative gastrectomy directly without neoadjuvant therapy.
- Conditions
- Predictive Cancer Model, Hepatic Metastasis, Gastric Cancer
- Trial name
- NCT06023966
- Where
- China
- Volunteers
- 120 people
- Sponsor
- Tianjin Medical University Cancer Institute and Hospital
Predictive Cancer Model, Gastric Cancer
A Prospective Clinical Study to Validate a Preoperative Risk Scoring Model for LNM in GC Patients
In our prior research, a risk scoring model for the occurrence of lymph node metastasis in patients who underwent radical gastrectomy for gastric cancer was established.
- Conditions
- Predictive Cancer Model, Gastric Cancer, Lymph Node Metastasis
- Trial name
- NCT06339307
- Where
- China
- Volunteers
- 120 people
- Sponsor
- Tianjin Medical University Cancer Institute and Hospital
Soft-tissue Sarcoma, Predictive Cancer Model
The Value of a Risk Prediction Tool (PERSARC) for Effective Treatment Decisions of Soft-tissue Sarcomas Patients
The goal of this clinical trial is to assess the (cost-)effectiveness of a personalised risk assessment tool (PERSARC) to increase patients' knowledge about risks and benefits of treatment options and to reduce decisional…
- Trial name
- VALUE_PERSARC (NCT05741944)
- Testing
- Care with the use of PERSARC, standard care
- Where
- 7 sites in Netherlands
- Volunteers
- 120 people
- Sponsor
- Leiden University Medical Center
Predictive Cancer Model
Prognostic Evaluation Prediction Model Survival Spinal Epidural Metastases
Patients with symptomatic spinal metatstasis will be prosepectively included in a database after theu signes informed consent. Minimally six months after inclusion the survival status is analyzed.
- Trial name
- NCT06411015
- Where
- Netherlands
- Volunteers
- 428 people
- Sponsor
- Radboud University Medical Center
Pancreatic Cancer, Circulating Tumor Cell
Liquid Biopsy (ctDNA) Guided Treatment in Localized Pancreatic Cancer: Neoadjuvant CTX vs. Upfront Surgery
This study evaluates the clinical prognostic impact (on DFS and OS) of liquid biopsy guided treatment vs. standard of care (physicians choice) in localized pancreatic cancer (despite because of CA 19-9 levels and computed…
- Conditions
- Pancreatic Cancer, Circulating Tumor Cell, Predictive Cancer Model
- Trial name
- LIQUIPANC (NCT06391892)
- Testing
- Neoadjuvant chemotherapy instead of upfront surgery, Upfront surgery
- Where
- Austria
- Volunteers
- 100 people
- Sponsor
- Elisabethinen Hospital
Metastasis, Predictive Cancer Model
Predicting Tumor Metastasis by Employing a Target Organ/Primary Lesion Fusion Radiomics Model
A pre-metastatic target organ/primary lesion fusion radiomics model was developed based on the "soil-seed" theory to predict comman tumor metastasis in retrospective settings.
- Trial name
- NCT06202404
- Where
- 2 sites in China
- Volunteers
- 166 people
- Sponsor
- Fudan University
Biliary Tract Cancer, Immune Checkpoint Inhibitor
Exploratory Study on the Therapeutic Effect Prediction Model of Advanced BTC Immunotherapy
1. Establish a predictive model for the efficacy of immune checkpoint inhibitors (ICI) in Chinese patients with biliary tract cancers.
- Conditions
- Biliary Tract Cancer, Immune Checkpoint Inhibitor, Predictive Cancer Model
- Trial name
- NCT06074029
- Testing
- Immune Checkpoint Inhibitors
- Where
- China
- Volunteers
- 50 people
- Sponsor
- Peking Union Medical College Hospital
Predictive Cancer Model, Localized Prostate Carcinoma
Generation and Validation of Predictive Models for Localized Prostate Cancer Treated With External Radiotherapy.
The generation of predictive models in radiotherapy has seen a significant increase. In 2017, Raymond published the largest systematic review of predictive prognostic models for biochemical relapse (BR), metastasis-free survival…
- Trial name
- NCT06092918
- Testing
- EXTERNAL RADIOTHERAPY
- Volunteers
- 700 people
- Sponsor
- Consorci Sanitari de Terrassa
Gastric Cancer, Chemotherapy Effect
Predicting Biomarker of Gastric Cancer Chemotherapy Response
discovery and validation of biomarker predicting gastric cancer chemotherapy response Analysis for expression level of mRNA using Next generation sequencing in gastric cancer tissue by chemotherapy response Analysis for…
- Conditions
- Gastric Cancer, Chemotherapy Effect, Predictive Cancer Model
- Trial name
- NCT03253107
- Testing
- Chemotherapy
- Where
- South Korea
- Volunteers
- 800 people
- Sponsor
- Kyungpook National University Hospital
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
Predictive Cancer Model
Innovative Approach to Detect Recurrent Colorectal Lesions With Surveillance Via Mutation Analysis & Clinical Phenotype
It is known that the development of colorectal adenoma is dependent on the appearance of somatic mutations in protooncogenes and tumor suppressor genes.
- Trial name
- MTG (NCT05929365)
- Testing
- colonoscopy
- Where
- Czechia
- Volunteers
- 200 people, healthy volunteers welcome
- Sponsor
- Military University Hospital, Prague
Cancer, Predictive Cancer Model
KM3D Multicenter Cancer Consortium: Predicting Patient Response Using 3D Cell Culture Models
This study will assess the ability of the Known Medicine platform to predict the efficacy of certain cancer drug treatments and to validate that tumor organoid drug sensitivity is representative of patient treatment outcomes.
- Conditions
- Cancer, Predictive Cancer Model, Effects of Chemotherapy
- Trial name
- NCT05338073
- Testing
- Known 3Dx Test
- Where
- 3 sites in United States
- Volunteers
- 2,000 people
- Sponsor
- Known Medicine, Inc.
Colorectal Cancer, Inflammatory Bowel Diseases
Predictive Time-to-Event Model for Major Medical Complications After Colectomy
Purpose: The purpose of this study is to create prediction models for when major complications occur after elective colectomy surgery. Justification: After surgery, patients can have multiple complications.
- Conditions
- Colorectal Cancer, Inflammatory Bowel Diseases, Diverticulitis, Colectomy
- Trial name
- NCT05150548
- Testing
- No Intervention
- Where
- Canada
- Volunteers
- 130,000 people, healthy volunteers welcome
- Sponsor
- University of British Columbia
Colorectal Cancer, Colorectal Adenoma
COLO-COHORT (Colorectal Cancer Cohort) Study
This is a cross-sectional study aimed at identifying factors which best predicts patients at high risk of colorectal cancer or colorectal adenomas and to develop a risk prediction model.
- Conditions
- Colorectal Cancer, Colorectal Adenoma, Colorectal Neoplasm, Predictive Cancer Model
- Trial name
- NCT04185779
- Testing
- Colonoscopy
- Where
- 3 sites in United Kingdom
- Volunteers
- 15,000 people
- Sponsor
- South Tyneside and Sunderland NHS Foundation Trust
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