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T(1ρ) for Radiotherapy Treatment Response Monitoring in Rectal Cancer Patients: A Pilot Study

Quantitative MRI has the potential to produce imaging biomarkers for the prediction of early response to radiotherapy treatment. In this pilot study, a potential imaging biomarker, the T(1ρ) relaxation time, is assessed for this purpose. A T(1ρ) sequence was implemented on a 1.5 T MR-linac system, a...

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Detalles Bibliográficos
Autores principales: Kooreman, Ernst S., Tanaka, Max, ter Beek, Leon C., Peters, Femke P., Marijnen, Corrie A. M., van der Heide, Uulke A., van Houdt, Petra J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8999631/
https://www.ncbi.nlm.nih.gov/pubmed/35407606
http://dx.doi.org/10.3390/jcm11071998
Descripción
Sumario:Quantitative MRI has the potential to produce imaging biomarkers for the prediction of early response to radiotherapy treatment. In this pilot study, a potential imaging biomarker, the T(1ρ) relaxation time, is assessed for this purpose. A T(1ρ) sequence was implemented on a 1.5 T MR-linac system, a system that combines an MRI with a linear accelerator for radiation treatment. An agar phantom with concentrations of 1–4% w/w was constructed for technical validation of the sequence. Phantom images were assessed in terms of short-term repeatability and signal-to-noise ratio. Twelve rectal cancer patients, who were treated with 5 × 5 Gy, were imaged on each treatment fraction. Individual changes in the T(1ρ) values of the gross tumor volume (GTV) showed an increase for most patients, although a paired t-test comparing values in the GTV from the first to the last treatment fraction showed no statistically significant difference. The phantom measurements showed excellent short-term repeatability (0.5–1.5 ms), and phantom T(1ρ) values corresponded to the literature values. T(1ρ) imaging was implemented successfully on the MR-linac, with a repeatability comparable to diagnostic systems, although clinical benefit in terms of treatment response monitoring remains to be demonstrated.