Dosimetry and prescription in liver radioembolization with 90Y microspheres: 3D calculation of tumor-to-liver ratio from global 99mTc-MAA SPECT information

Maneru, F. ; Abós, D. (Universidad de Zaragoza) ; Bragado, L. ; Fuentemilla, N. ; Caudepón, F. ; Pellejero, S. ; Miquelez, S. ; Rubio, A. ; Goni, E. ; Hernández-Vitoria, A. (Universidad de Zaragoza)

Resumen: Dosimetry in liver radioembolization with 90Y microspheres is a fundamental tool, both for the optimization of each treatment and for improving knowledge of the treatment effects in the tissues. Different options are available for estimating the administered activity and the tumor/organ dose, among them the so-called partition method. The key factor in the partition method is the tumor/normal tissue activity uptake ratio (T/N), which is obtained by a single-photon emission computed tomography (SPECT) scan during a pre-treatment simulation. The less clear the distinction between healthy and tumor parenchyma within the liver, the more difficult it becomes to estimate the T/N ratio; therefore the use of the method is limited. This study presents a methodology to calculate the T/N ratio using global information from the SPECT. The T/N ratio is estimated by establishing uptake thresholds consistent with previously performed volumetry. This dose calculation method was validated against 3D voxel dosimetry, and was also compared with the standard partition method based on freehand regions of interest (ROI) outlining on SPECT slices. Both comparisons were done on a sample of 20 actual cases of hepatocellular carcinoma treated with resin microspheres. The proposed method and the voxel dosimetry method yield similar results, while the ROI-based method tends to over-estimate the dose to normal tissues. In addition, the variability associated with the ROI-based method is more extreme than the other methods. The proposed method is simpler than either the ROI or voxel dosimetry approaches and avoids the subjectivity associated with the manual selection of regions.

Idioma: Inglés

DOI: 10.1088/1361-6560/aa9536

Año: 2017

Publicado en: Physics in Medicine and Biology 62, 23 (2017), 9099-9111
ISSN: 0031-9155

Factor impacto JCR: 2.665 (2017)

Categ. JCR: RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING rank: 42 / 127 = 0.331 (2017) - Q2 - T2
Categ. JCR: ENGINEERING, BIOMEDICAL rank: 27 / 78 = 0.346 (2017) - Q2 - T2

Factor impacto SCIMAGO: 1.263 - Radiology, Nuclear Medicine and Imaging (Q1) - Radiological and Ultrasound Technology (Q1)

Tipo y forma: Article (PostPrint)

Área (Departamento): Área Radiol. y Medicina Física (Dpto. Pediatría Radiol.Med.Fís)