AI model aims to predict lymphoma treatment success
NCT ID NCT07409168
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study will develop an artificial intelligence model to predict how well patients with a rare type of lymphoma (NK/T-cell) respond to their first chemotherapy. Researchers will collect medical images and tissue samples from 100 participants to train the AI. The goal is to help doctors personalize treatment more effectively.
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Study facts
What this study's own registry entry says, in plain language.
- Participants
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About 100 people
The number the study aims to enrol. It can still change while the study runs.
- Expected to start
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Aug 2026
An estimate. Start dates often move.
- Expected to finish
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Dec 2027
An estimate. End dates often move.
- Lead sponsor
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Other sponsor
The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
Who is studied
The study population includes adult patients with pathologically confirmed extranodal natural killer/T-cell lymphoma (NKTCL) receiving first-line asparaginase-based chemotherapy or chemoradiotherapy, with available pretreatment MRI or H\&E-stained whole-slide pathology images. Patients will be prospectively followed for treatment response and survival outcomes.
- Ages
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18 years and older
- Sex
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Anyone
- Healthy volunteers
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Not accepted
This study is not open to healthy volunteers. The entry requirements below say who it is open to.
Show the full entry requirements Hide the full entry requirements
Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: * 1\. Age ≥ 18 years. * 2\. Pathologically confirmed extranodal natural killer/T-cell lymphoma (NKTCL) according to the World Health Organization (WHO) classification. * 3\. Patients who are planned to receive first-line asparaginase-based chemotherapy or chemoradiotherapy. * 4\. Patients who have either contrast-enhanced MRI of the nasopharynx obtained as part of routine clinical care or pretreatment whole-slide images (WSI) of tumor tissue from hematoxylin and eosin (H\&E)-stained sections available for analysis. * 5\. Ability to understand the study and provide written informed consent (ICF). Exclusion Criteria: * 1\. History of other malignant tumors. * 2\. Patients with psychiatric disorders or those unable to provide informed consent.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
How to take part
Only the study team decides who joins. These are the ways to reach them.
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The official record
ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.
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A doctor treating you
A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.
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Other studies related to the condition(s) this trial covers.
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