Publicaciones científicas

Voxel-Based Analysis of Dual-Time-Point 18F-FDG PET Images for Brain Tumor Identification and Delineation

Prieto E, Martí-Climent JM, Domínguez-Prado I, Garrastachu P, Díez-Valle R, Tejada S, Aristu JJ, Peñuelas I, Arbizu J.
Department of Nuclear Medicine, Clínica Universidad de Navarra, Pamplona, Spain

Revista: Journal of Nuclear Medicine

Fecha: 13-may-2011

Neurocirugía Oncología Radioterápica Medicina Nuclear

We have investigated dual-time-point (18)F-FDG PET for the detection and delineation of high-grade brain tumors using quantitative criteria applied on a voxel basis.

METHODS
Twenty-five patients with suspected high-grade brain tumors and inconclusive MRI findings underwent (11)C-methionine PET and dual-time-point (18)F-FDG PET. Images from each subject were registered and spatially normalized. Parametric maps of standardized uptake value (SUV) and tumor-to-normal gray matter (TN) ratio for each PET image were obtained. Tumor diagnosis was evaluated according to 4 criteria comparing standard and delayed (18)F-FDG PET images: any SUV increase, SUV increase greater than 10%, any TN increase, and TN increase greater than 10%. Voxel-based analysis sensitivity was assessed using (11)C-methionine as a reference and compared with visual and volume-of-interest analysis for dual-time-point PET images. Additionally, volumetric assessment of the tumor extent that fulfills each criterion was compared with the volume defined for (11)C-methionine PET.

RESULTS
The greatest sensitivity for tumor identification was obtained with any increase of TN ratio (100%), followed by a TN increase greater than 10% (96%), any SUV increase (80%), and an SUV increase greater than 10% (60%). These values were superior to visual analysis of standard (18)F-FDG (sensitivity, 40%) and delayed (18)F-FDG PET (sensitivity, 52%). Volume-of-interest analysis of dual-time-point PET reached a sensitivity of only 64% using the TN increase criterion. Regarding volumetry, voxel-based analysis with the TN ratio increase as a criterion, compared with (11)C-methionine PET, detected 55.4% of the tumor volume, with the other criteria detecting volumes lower than 20%. Nevertheless, volume detection presented great variability, being better for metastasis (78%) and glioblastomas (56%) than for anaplastic tumors (12%). A positive correlation was observed between the volume detected and the time of acquisition of the delayed PET image (r = 0.66, P < 0.001), showing volumes greater than 75% when the delayed image was obtained at least 6 h after (18)F-FDG injection.

CONCLUSION
Compared with standard (18)F-FDG PET studies, quantitative dual-time-point (18)F-FDG PET can improve sensitivity for the identification and volume delineation of high-grade brain tumors.

CITA DEL ARTÍCULO  J Nucl Med. 2011 May 13

tal vezLE INTERESE

¿QUÉ TECNOLOGÍA UTILIZAMOS?

La Clínica es el hospital privado con mayor dotación tecnológica de España, todo en un único centro.

Imagen de un PET, tecnología de vanguardia en la Clínica Universidad de Navarra

NUESTROS
PROFESIONALES

Los profesionales de la Clínica realizan una labor continuada de investigación y formación, siempre en beneficio del paciente.

Imagen profesionales de la Clínica Universidad de Navarra

POR QUÉ VENIR
A LA CLÍNICA

Conozca por qué somos diferentes a otros centros sanitarios. Calidad, rapidez, comodidad y resultados.

Imagen del edificio de la Clínica Universidad de Navarra