Meeting Banner
Abstract #3843

Value of whole-lesion histogram analysis based on ADC and ASL in predicting the response to chemotherapy and prognosis of PCNSL

Nan Zhang1, Guoli Liu1, Mingxiao Wang1, and Lin Ma1
1Radiology, The First Medical Center, Chinese People’s Liberation Army General Hospital, Beijing, China

Synopsis

Keywords: Tumors (Pre-Treatment), Quantitative Imaging

Motivation: Primary central nervous system lymphoma (PCNSL) is a rare malignant non-Hodgkin's lymphoma with a poor prognosis, the combination chemotherapy regimen based on methotrexate is the main therapeutic regimen. There are no reliable indicators to predict the treatment response and survival outcome of PCNSL patients.

Goal(s): To predict the response to methotrexate (MTX) chemotherapy and prognosis in primary central nervous system lymphoma (PCNSL) patients by the histogram parameters based on apparent diffusion coefficient (ADC) and arterial spin labeling (ASL).

Approach: Use the univariate and multivariate logistic regressions to identify the independent predictors for the response of MTX chemotherapy. The predictive performance was assessed by the receiver operating characteristic. The Kaplan-Meier analysis and Cox regression were used to analyze the OS.

Results: Number of lesions (NL), the maximum of ADC values and the 95th percentile of CBF values were independent predictive factors of chemotherapy response.

Impact: ADC and CBF values are promising predictive factors of chemotherapy response and outcome in PCNSL patients.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.

Keywords