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Updated: Jun 1, 2026

Tumor Engraftment in a Xenograft Mouse Model of Human Mantle Cell Lymphoma
Published on: March 30, 2018
Fluorodeoxyglucose-positron-emission tomography findings in mantle cell lymphoma
Abass Alavi1, Sankaran Shrikanthan, Aysel Aydin
1Division of Nuclear Medicine, Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, PA 19104, USA. abass.alavi@uphs.upenn.edu
Objective:
Mantle cell lymphoma (MCL) is an aggressive type of non-Hodgkin lymphoma with a propensity for extranodal involvement. The role of fluorodeoxyglucose (FDG)-positron emission tomography (PET) imaging in common types of lymphoma has been well-established. However, there is limited information in the literature about the utility of FDG-PET imaging in patients who have MCL. The aim of this study was to determine the role of FDG-PET imaging in assessment of disease activity in MCL compared with conventional imaging techniques such as computerized tomography/magnetic resonance imaging (CT/MRI).
Methods:
FDG-PET images of 20 patients with MCL who were referred to our center for assessment of extent of disease were reviewed retrospectively. The FDG-PET findings were compared with those of CT/MRI and were correlated with clinical information, histopathology, and outcome.
Results:
The diagnostic sensitivity for PET was 90% (17/19), and specificity was 100% (1/1). For CT/MRI, the sensitivity was 87% (14/16) and specificity was 50% (2/4). PET was better than CT/MRI in detecting nodal involvement. With respect to extranodal involvement, PET detected more cases of spleen involvement than CT/MRI. PET was equivalent to conventional imaging in detecting bowel involvement.
Conclusions:
PET imaging has a high sensitivity in detecting both nodal and extranodal involvement in patients who have MCL. Based on the available data in patients who had other subtypes of non-Hodgkin lymphoma, the specificity of PET also appears to be superior to anatomic imaging techniques. FDG-PET imaging may prove to be the single most effective method for detection.
