An efficient and robust MRI-guided radiotherapy planning approach for targeting abdominal organs and tumours in the mouse

Autor: Kersemans, Veerle, Beech, John S., Gilchrist, Stuart, Kinchesh, Paul, Allen, Philip D., Thompson, James, Gomes, Ana L., D’Costa, Zenobia, Bird, Luke, Tullis, Iain D. C., Newman, Robert G., Corroyer-Dulmont, Aurelien, Falzone, Nadia, Azad, Abul, Vallis, Katherine A., Sansom, Owen J., Muschel, Ruth J., Vojnovic, Borivoj, Hill, Mark A., Fokas, Emmanouil, Smart, Sean C.
Přispěvatelé: University of Oxford [Oxford], Université de Caen Normandie (UNICAEN), Normandie Université (NU), Hypoxie, physiopathologies cérébrovasculaire et tumorale (CERVOxy), Imagerie et Stratégies Thérapeutiques des pathologies Cérébrales et Tumorales (ISTCT), Normandie Université (NU)-Normandie Université (NU)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Centre National de la Recherche Scientifique (CNRS)-Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Centre National de la Recherche Scientifique (CNRS), The Beatson Institute for Cancer Research, University of Glasgow, Goethe-University Frankfurt am Main, German Cancer Research Center - Deutsches Krebsforschungszentrum [Heidelberg] (DKFZ), Zhang, Qinghui, University of Oxford
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Cancer Treatment
lcsh:Medicine
Multimodal Imaging
Diagnostic Radiology
Neuroblastoma
Mice
Inbred NOD
Adrenal Glands
Abdomen
Medicine and Health Sciences
Blastomas
lcsh:Science
Tomography
Mice
Inbred BALB C
Phantoms
Imaging
Radiology and Imaging
Radiotherapy Dosage
Animal Models
Magnetic Resonance Imaging
Tumor Burden
In Vivo Imaging
Oncology
Experimental Organism Systems
Anatomy
Research Article
Clinical Oncology
Imaging Techniques
Radiation Therapy
Mice
Nude
Neuroimaging
Endocrine System
Mouse Models
Mice
Transgenic
Research and Analysis Methods
Motion
Model Organisms
Diagnostic Medicine
Cell Line
Tumor
Animals
Humans
ddc:610
Radiometry
Radiotherapy Planning
Computer-Assisted
[SCCO.NEUR]Cognitive science/Neuroscience
lcsh:R
Biology and Life Sciences
Cancers and Neoplasms
Computed Axial Tomography
Abdominal Neoplasms
Mice
Inbred CBA
lcsh:Q
Clinical Medicine
Tomography
X-Ray Computed
Neoplasm Transplantation
Neuroscience
Radiotherapy
Image-Guided
Zdroj: PLoS ONE
PLoS ONE, Public Library of Science, 2017, 12 (4), pp.e0176693. ⟨10.1371/journal.pone.0176693⟩
PLoS ONE, Vol 12, Iss 4, p e0176693 (2017)
PLoS ONE, 2017, 12 (4), pp.e0176693. ⟨10.1371/journal.pone.0176693⟩
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0176693⟩
Popis: Preclinical CT-guided radiotherapy platforms are increasingly used but the CT images are characterized by poor soft tissue contrast. The aim of this study was to develop a robust and accurate method of MRI-guided radiotherapy (MR-IGRT) delivery to abdominal targets in the mouse. Methods A multimodality cradle was developed for providing subject immobilisation and its performance was evaluated. Whilst CT was still used for dose calculations, target identification was based on MRI. Each step of the radiotherapy planning procedure was validated initially in vitro using BANG gel dosimeters. Subsequently, MR-IGRT of normal adrenal glands with a size-matched collimated beam was performed. Additionally, the SK-N-SH neuroblastoma xenograft model and the transgenic KPC model of pancreatic ductal adenocarcinoma were used to demonstrate the applicability of our methods for the accurate delivery of radiation to CT-invisible abdominal tumours. Results The BANG gel phantoms demonstrated a targeting efficiency error of 0.56 ± 0.18 mm. The in vivo stability tests of body motion during MR-IGRT and the associated cradle transfer showed that the residual body movements are within this MR-IGRT targeting error. Accurate MR-IGRT of the normal adrenal glands with a size-matched collimated beam was confirmed by γH2AX staining. Regression in tumour volume was observed almost immediately post MR-IGRT in the neuroblastoma model, further demonstrating accuracy of x-ray delivery. Finally, MR-IGRT in the KPC model facilitated precise contouring and comparison of different treatment plans and radiotherapy dose distributions not only to the intra-abdominal tumour but also to the organs at risk. Conclusion This is, to our knowledge, the first study to demonstrate preclinical MR-IGRT in intra-abdominal organs. The proposed MR-IGRT method presents a state-of-the-art solution to enabling robust, accurate and efficient targeting of extracranial organs in the mouse and can operate with a sufficiently high throughput to allow fractionated treatments to be given.
Databáze: OpenAIRE
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