CT findings predict survival of patients with peripheral T cell lymphoma: a preliminary study

Autor: Jianbang Lin, Sen Jiang, Wenbin Yang, Yang-Kang Li
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Male
R895-920
Disease
Logistic regression
030218 nuclear medicine & medical imaging
peripheral t cell lymphoma
Medical physics. Medical radiology. Nuclear medicine
0302 clinical medicine
Duodenal Neoplasms
Antineoplastic Combined Chemotherapy Protocols
Anaplastic Lymphoma Kinase
Child
Lymph node
Aged
80 and over

Univariate analysis
Middle Aged
medicine.anatomical_structure
Treatment Outcome
Oncology
Vincristine
030220 oncology & carcinogenesis
Area Under Curve
Female
Radiology
medicine.symptom
Paranasal Sinus Neoplasms
Research Article
Adult
medicine.medical_specialty
Adolescent
lymphoma
Mediastinal Neoplasms
Lesion
03 medical and health sciences
Necrosis
Young Adult
Multidetector Computed Tomography
medicine
Humans
Radiology
Nuclear Medicine and imaging

Neoplasm Invasiveness
Cyclophosphamide
Aged
Retrospective Studies
business.industry
Univariate
Lymphoma
T-Cell
Peripheral

computed tomography
medicine.disease
Peripheral T-cell lymphoma
Lymphoma
Logistic Models
ROC Curve
Doxorubicin
Prednisone
prognosis
business
Tomography
Spiral Computed
Zdroj: Radiology and Oncology, Vol 53, Iss 1, Pp 31-38 (2019)
Radiology and Oncology
ISSN: 1581-3207
Popis: Background Peripheral T-cell lymphoma (PTCL) is an uncommon disease with poor clinical outcomes. Radiological reports on the survival of patients with PTCL are scarce. The purpose of this study is to investigate the prognostic value of CT findings to predict clinical outcomes in fifty-one patients with histologically proven PTCL. Patients and methods The clinical data and CT images of all patients were retrospectively reviewed. CT features including number of involvement sites, lesion size, shape, margin, density, peritumoral invasion, intratumoral necrosis, lymph node involvement, and degree of contrast enhancement were evaluated. Univariate and multiple logistic regression analysis were used to determine the association between the clinical outcome and radiologic factors. Results Multiple site involvement, an ill-defined margin with peritumoral invasion, inhomogeneous density, and intratumoral necrosis were found to be associated with poor outcomes in univariate analysis (P < 0.05). An ill-defined margin with peritumoral invasion, was identified as an independent risk sign by further multivariate logistic regression analysis (P < 0.05). The area under the ROC curve of this CT feature was 0.745 (P < 0.05). Conclusions An ill-defined margin with peritumoral invasion was a valuable prognostic factor to predict the worse clinical outcomes in patients with PTCL.
Databáze: OpenAIRE