Clinical trials: Prognostic Cancer Model
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
Mycosis Fungoides, Non-Hodgkin's Lymphoma
ID Of Prognostic Factors In Mycosis Fungoides/Sezary Syndrome
The purpose of the study is to develop a prognostic index model for the rare disease of mycosis fungoides and sezary syndrome. This will be done by collecting standardized clinical data at various institutions.
- Trial name
- NCT02848274
- Where
- 13 sites in United States, Argentina and 5 more
- Volunteers
- 2,000 people
- Sponsor
- Stanford University
Duodenal, Gastrointestinal Stromal Tumors
Development and External Validation of a Prognostic Model for DFS After Curative Resection of Duodenal GIST
Gastrointestinal stromal tumour (GIST) is the most common mesenchymal neoplasm of the digestive tract, originating from the interstitial cells of Cajal.
- Trial name
- NCT07837271
- Where
- 2 sites in China
- Volunteers
- 288 people
- Sponsor
- First Affiliated Hospital of Fujian Medical University
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 (GC)
Development and Validation of the Surgical Assessment and Healthcare (SAH) Index for Gastric Cancer Treatment Evaluation
This study develops the Surgical Assessment and Healthcare (SAH) Index, a new tool to fairly evaluate gastric cancer surgery outcomes.
- Trial name
- SAH (NCT07180966)
- Where
- China
- Volunteers
- 780 people
- Sponsor
- Ruijin Hospital
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
Clear Cell Renal Cell Carcinoma, Prognostic Cancer Model
Contrast-enhanced CT-based Deep Learning Model for Preoperative Prediction of Disease-free Survival (DFS) in Localized Clear Cell Renal Cell Carcinoma (ccRCC)
This study aims to preoperatively predict DFS of patients with localised ccRCC using a deep learning prognostic model based on enhanced contrast CT images, validate it's predictive ability in multicentre data and compare it's…
- Conditions
- Clear Cell Renal Cell Carcinoma, Prognostic Cancer Model, Recurrent Renal Cell Cancer
- Trial name
- NCT06088134
- Where
- China
- Volunteers
- 800 people
- Sponsor
- Mingzhao Xiao
AL Amyloidosis (AL), Cardiac Amyloidosis
Multimodal Radiomics Model (18F-FAPI PET/CT + CMR) for AL Cardiac Amyloidosis Prognosis
1. Goal of the Study: The goal of this prospective observational study is to develop and validate a novel, non-invasive method for predicting the prognosis of patients with light-chain cardiac amyloidosis (AL-CA).
- Trial name
- AL-CA (NCT07103863)
- Where
- China
- Volunteers
- 49 people
- Sponsor
- Beijing Anzhen 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
Gliomas Harboring IDH1 and/or IDH2 Mutations, Glioma Glioblastoma Multiforme
Multicenter Prospective Study on MRI AI Model for Midline Glioma Subtyping and Prognosis:
A vision-language model using preoperative MRI and clinical variables has been developed to simultaneously predict three key molecular markers in midline gliomas: H3K27M, IDH, and 1p/19q.
- Conditions
- Gliomas Harboring IDH1 and/or IDH2 Mutations, Glioma Glioblastoma Multiforme, Glioma of Brainstem, Glioma, Diffuse Midline, H3K27M-mutant
- Trial name
- NCT07608003
- Where
- China
- Volunteers
- 500 people
- Sponsor
- Xiangya Hospital of Central South University
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
Neoplasms Pancreatic
A New Prognostic Score Model for Pancreatic Ductal Adenocarcinoma
The AJCC TNM staging system is the prevailing method in prognostic evaluation of pancreatic ductal adenocarcinoma (PDAC) at present , but it did not include factors such as the tumor immune microenvironment that are known to…
- Trial name
- NCT05547074
- Testing
- pancreatic cancer surgery
- Where
- China
- Volunteers
- 302 people
- Sponsor
- Zhejiang University
Phyllodes Breast Tumor, Artificial Intelligence
AI-Assisted System for Accurate Diagnosis and Prognosis of Breast Phyllodes Tumors
Breast phyllodes tumor (PT) is a rare fibroepithelial tumor, accounting for 1% to 3% of all breast tumors, categorized by the WHO into benign, borderline, and malignant, based on histopathology features such as tumor border…
- Conditions
- Phyllodes Breast Tumor, Artificial Intelligence, Multiomics, Prognostic Cancer Model
- Trial name
- NCT06286267
- Testing
- imaging
- Where
- 4 sites in China
- Volunteers
- 4,000 people
- Sponsor
- Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
Lung Adenocarcinoma, Surgery
DNA Methylation Biomarkers to Predict Survival After Surgery for Lung Adenocarcinoma
This study is designed to assess DNA 5-methylcytosine (5mC) methylation modifications in lung adenocarcinoma (LUAD) samples and develop a prognosis-predictive model for LUAD based on cancer tissue DNA 5mC levels.
- Conditions
- Lung Adenocarcinoma, Surgery, Prognostic Cancer Model
- Trial name
- NCT06477211
- Where
- China
- Volunteers
- 292 people
- Sponsor
- Nanjing University
Gastric Cancer
Hematological Dynamic Scores for Predicting Survival and Treatment Response for Advanced Gastric Cancer After Neoadjuvant Therapy
HMDLS, based on hematological markers, could effectively distinguish the long-term efficacy of AGC patients after NAT. The predictive performance of nomogram-HMDLS was better than ypTNM stage, achieving better prognostic…
- Trial name
- NCT06573307
- Where
- China
- Volunteers
- 442 people
- Sponsor
- Chang-Ming Huang, Prof.
Oncology
Assessing Perceptions of ML Explanations by Medical Oncologists
The objective of this proposal is to conduct a vignette-based survey among practicing oncology clinicians who treat non-small cell lung cancer to assess the trustworthiness of explainable predictions from a neurosymbolic AI vs.
- Trial name
- NCT06699615
- Testing
- Once time de-identified Qualtrics survey
- Where
- United States
- Volunteers
- 50 people
- Sponsor
- Abramson Cancer Center at Penn Medicine
Nasopharyngeal Cancer
A Study of Nasopharyngeal Carcinoma From Guangdong
This prospective cohort study aims to establish prognostic models, to discover toxicity associated predictors and to validate randomized trials in clinical practice.
- Trial name
- NCT03003182
- Where
- China
- Volunteers
- 2,000 people
- Sponsor
- Sun Yat-sen University
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