Clinical trials
Radiomics clinical trials
Below are recruiting radiomics clinical trials, each written for real people, not researchers. We’re tracking 44 recruiting studies, each written for real people, not researchers, below.
Recruiting studies
- NCT07030569Recruiting
Predicting treatment response in metastatic breast cancer
This trial studies how well CT and PET scans can predict if a certain type of breast cancer will respond to a targeted treatment. It focuses on women who had a biopsy of the liver, lung, or chest lining after the cancer spread.
MilanAges Any age - NCT06947096Enrolling by invitation
AI prediction of stomach cancer spread to lymph nodes
This study uses artificial intelligence to analyze your CT scan and predict whether stomach cancer has spread to lymph nodes behind your belly. The goal is to help doctors decide if you need more extensive surgery.
Shijiazhuang, None SelectedAges 18–80 - NCT04483804Recruiting
Using computer image features to study breast cancer
This study looks at breast cancer images to see whether computer-extracted patterns (“radiomics”) can help improve understanding of the disease. You may be included if your breast cancer diagnosis is confirmed and your medical records are complete.
Hanzhou, ZhejiangAges 18–80 - NCT05126160Recruiting
MRI-based imaging to guide treatment in nasopharyngeal cancer
This study uses special MRI images (and computer “radiomics” scores) to better understand nasopharyngeal cancer. The goal is to help doctors choose the most appropriate treatment for people with newly diagnosed cancer.
Wuhan, HubeiAges 18–70 - NCT05298722Recruiting
MRI and blood tests to predict if pancreatic surgery is possible
This study looks at MRI scans, computer-extracted imaging features, and blood/“liquid biopsy” tests after FOLFIRINOX chemotherapy to predict whether surgery can fully remove pancreatic cancer. It may help your care team choose the best next step—whether surgery is likely to be possible and how to plan it.
Ghent, East FlandersAges 18 years+ - NCT06036381Recruiting
Glioma imaging study
This study looks at past medical images (like MRI scans) of people with glioma (a type of brain tumor) or conditions that look like glioma, taken at Tata Memorial Centre. The goal is to better understand these tumors using advanced computer analysis of the images.
Mumbai, MaharashtraAges 1 year+ - NCT06092450Recruiting
Using AI scans to predict bladder cancer treatment results
This trial uses an artificial intelligence model to analyze CT scans taken before bladder removal surgery. The goal is to see if the AI can predict outcomes for patients with muscle-invasive bladder cancer.
Chongqing, Chongqing MunicipalityAges Any age - NCT06062927Recruiting
Genes and scans predict response to immunotherapy and targeted therapy for advanced sarcoma
This trial is testing whether a combination of two drugs—a targeted therapy (surufatinib) and an immunotherapy (envafolimab)—can help people with advanced soft tissue sarcoma that has spread or cannot be removed by surgery. Researchers will also use a person's genetic information and scans to see if they can predict who will benefit the most.
Beijing, Beijing MunicipalityAges 18–75 - NCT07232680Recruiting
Immune profile study for nasopharyngeal cancer patients
This study looks at how the immune system responds to radiation therapy for nasopharyngeal cancer. It will use scans and blood tests to find markers that might predict how well treatment works.
Taoyuan City, TaiwanAges 18 years+ - NCT06579768Recruiting
Using CT scans to predict jaw cyst type before surgery
This study tests if analyzing CT scans with artificial intelligence can help doctors tell the difference between types of jaw cysts before surgery. This could help avoid surgery or choose the best treatment for you.
Guangzhou, GuangdongAges Any age - NCT07730541Recruiting
Special MRI for rectal cancer before treatment
This trial uses a special MRI technique to help doctors better understand rectal cancer before treatment. It is for people who will receive chemotherapy and radiation before surgery.
TaoyuanAges 20 years+ - NCT03594760RecruitingPhase 3
PSMA PET scan study using advanced computer imaging in prostate cancer
This Phase 3 study looks at how a PSMA PET scan can predict how prostate cancer will progress and how well treatment is working. If your doctor at CHUM orders this scan, you may be able to join to help refine better predictions for future patients.
Montreal, QuebecAges 18 years+ - NCT05024162Recruiting
MRI and biopsy study of how prostate tumors grow
This study looks at whether special MRI details can help predict how invasive your prostate cancer tumor is. It combines MRI images with your biopsy results to see if MRI patterns can match how aggressive the cancer may be.
Halifax, Nova ScotiaAges Any age - NCT05375591Recruiting
AI study to sort lung nodules after past cancer treatment
This study uses computer tools (AI) and detailed scan patterns to better classify new lung nodules in people who previously had curative-intent cancer treatment. It may help doctors decide whether a nodule is likely benign or cancer, using your CT scan and related medical history.
LondonAges 18 years+ - NCT05709769Recruiting
Radiation-related nutrition therapy guided by scan features
This study looks at whether using scan “patterns” (radiomics) to detect malnutrition risk can guide nutrition therapy for people treated for cervical cancer. It may help improve tolerance of treatment and outcomes by targeting nutrition early.
Hangzhou, ZhejiangAges 18–80 - NCT05722275Recruiting
Predicting peritoneal spread in advanced stomach cancer
This trial uses CT scan images and a look inside the abdomen (laparoscopy) to predict whether advanced stomach cancer has spread to the lining of the abdomen (the peritoneum). It may help your care team better identify who already has peritoneal spread and who might not.
BeijingAges 18 years+ - NCT05933889Recruiting
Study of robotic throat surgery for early oropharyngeal cancer
This study looks at how well different robotic surgery approaches work for people with early oropharyngeal squamous cell carcinoma (throat cancer). You may be asked for consent for extra tissue and imaging analysis to help researchers understand patterns related to outcomes.
LondonAges 18 years+ - NCT05968898Recruiting
Computer helps analyze lung nodules on CT scans
This study tests a computer tool that uses patterns from your chest CT scan to help assess an unclear lung nodule. It may help doctors decide which nodules need closer attention.
Philadelphia, PennsylvaniaAges 35–89 - NCT06169033Recruiting
Can belly fat scans predict weight-loss surgery success?
This study looks at how fat around your belly and inside your abdomen, seen on a CT scan, can predict how well bariatric (weight-loss) surgery will work for people with type 2 diabetes.
BeijingAges 16–70 - NCT06202404Recruiting
Predicting cancer spread with a new imaging tool
This trial tests if a special imaging analysis can predict where your cancer might spread. It's for people with advanced lung, colorectal, or breast cancer who are starting or continuing treatment.
Shanghai, Shanghai MunicipalityAges 18–75 - NCT06224283Recruiting
Predicting desmoid tumor growth after cryoablation
This study looks at whether a special MRI analysis (radiomics) can better predict if a desmoid tumor will grow back after freezing treatment (cryoablation) compared to standard methods. It may help doctors decide on future treatment steps.
BolognaAges Any age - NCT06323876Recruiting
Using CT scans to personalize treatment for pulmonary fibrosis
This study uses detailed CT scans to find better ways to treat idiopathic pulmonary fibrosis (IPF). It may help doctors choose the right treatment for each person.
Charlottesville, VirginiaAges 40–101 - NCT07633366Recruiting
Understanding ARDS Through Lung Fluid and Imaging Analysis
This study examines lung fluid samples and imaging scans from patients on breathing machines to better understand acute respiratory distress syndrome (ARDS), a serious lung condition. Researchers hope this will help doctors diagnose and treat ARDS more effectively in the future.
Vienna, State of ViennaAges 18 years+ - NCT06343974Recruiting
Ultrasound to detect high insulin in unborn babies
This study uses ultrasound images to check for high insulin levels in unborn babies. It may help doctors detect problems early and improve care for moms and babies.
TurkuAges 18–45
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Common questions
- Are there clinical trials for radiomics?
- Yes. Clin2 currently lists 44 recruiting radiomics studies from the U.S. registry, each rewritten for real people, not researchers, so you can see what it’s testing and who it’s for.
- How do I know if I qualify for a radiomics trial?
- Each study lists its eligibility criteria — rules about age, diagnosis, and prior treatments. On every Clin2 trial page we explain these in words written for real people and offer a short, optional pre-screen for a fit read. The study team makes the final decision.
- Does it cost anything to join a radiomics trial?
- Using Clin2 is always free. Many trials cover the cost of the study treatment and related visits; some reimburse travel. The study team explains exactly what’s covered before you decide.
Related conditions
Clin2 helps you find and understand clinical trials and does not provide medical advice. Study data comes from ClinicalTrials.gov. Talk with your doctor about whether a specific trial is right for you.