Multi-modal Fusion Model and Deep Learning for Predicting Treatment Response in NKTCL

Trial statusNot yet recruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18+
SponsorSun Yat-sen University

About this trial

This is a multicenter prospective study to develop and validate a multimodal, deep learning-based model for predicting treatment response in patients with extranodal natural killer/T-cell lymphoma (NKTCL) receiving first-line asparaginase-based therapy.

Eligibility criteria

Qualifiers

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.

Disqualifiers

1. History of other malignant tumors.

2. Patients with psychiatric disorders or those unable to provide informed consent.

Trial design

Treatments tested in this trial

  • Not listed

Trial groups

100 Participants
are grouped into 1 trial group

Locations

This trial has no locations

Sponsors and collaborators