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18F-FDG PET/CT-based Prognostic Model for Predicting Outcome in Patients With Natural Killer/T-cell Lymphoma

P

Peking University Cancer Hospital & Institute

Status

Unknown

Conditions

Lymphoma, Extranodal NK-T-Cell

Treatments

Device: 18F-FDG PET/ CT

Study type

Interventional

Funder types

Other

Identifiers

NCT03051555
XW-NK/T-002

Details and patient eligibility

About

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

Full description

In this study investigators develop a prognostic model based on 18F-FDG PET/CT and test its ability for prognostic value in patients with DLBCL. PET/ CT scans evaluation using the liver SUVmax as reference. Positive lesions in PET were indicated as SUVmax of residues higher than the threshold or new 18F-FDG avid lesions. 18F-FDG PET/CT-based prognostic model includes PET/CT image, dominant clinical and pathological prognostic factors to predicting disease progression during chemotherapy or survival in NK/T-cell lymphoma.

Enrollment

60 estimated patients

Sex

All

Ages

12 to 80 years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • newly diagnosed NK/T-cell lymphoma
  • treated using an anthracycline-containing regimen
  • minimal follow-up at 6 months after the completion of first-line treatment
  • complete medical history and clinicopathological data

Exclusion criteria

  • secondary malignant disease
  • serious infection or inflammation (e.g., HIV)
  • primary central nervous system lymphoma
  • hepatic or renal dysfunction.

Trial design

Primary purpose

Diagnostic

Allocation

N/A

Interventional model

Single Group Assignment

Masking

None (Open label)

60 participants in 1 patient group

18F-FDG PET/CT-based prognostic model of NK/T-cell lymphoma
Experimental group
Description:
The new prognostic model is based on 18F-FDG PET/ CT scans, and combined with clinical and pathological prognostic factors.
Treatment:
Device: 18F-FDG PET/ CT

Trial contacts and locations

1

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Central trial contact

Xuejuan Wang, MD

Data sourced from clinicaltrials.gov

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