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Huang CFJ, Lin WL, Hwang SC, Yao C, Chang H, Chen YY, Kuo LW. A feasibility study of wireless inductively coupled surface coil for MR-guided high-intensity focused ultrasound ablation of rodents on clinical MRI systems. Sci Rep 2022; 12:21907. [PMID: 36536022 PMCID: PMC9763396 DOI: 10.1038/s41598-022-26452-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Accepted: 12/14/2022] [Indexed: 12/23/2022] Open
Abstract
Recently, to conduct preclinical imaging research on clinical MRI systems has become an attractive alternative to researchers due to its wide availability, cost, and translational application to clinical human studies when compared to dedicated small animal, high-field preclinical MRI. However, insufficient signal-to-noise ratio (SNR) significantly degrades the applicability of those applications which require high SNR, e.g. magnetic resonance guided high-intensity focused ultrasound (MRgHIFU) treatment. This study introduces a wireless inductively coupled surface (WICS) coil design used on a clinical 3 T MRI system for MRgHIFU ablation. To evaluate the SNR improvement and temperature accuracy of WICS coil, the ex vivo experiments were performed on the pork tenderloins (n = 7) and the hind legs of deceased Sprague-Dawley rats (n = 5). To demonstrate the feasibility, the in vivo experiments were performed on the hind leg of Sprague-Dawley rat (n = 1). For all experiments, temperature measurements were performed before and during HIFU ablation. Temperature curves with and without WICS coil were compared to evaluate the temperature precision in ex vivo experiments. The use of WICS coil improves the temperature accuracy from 0.85 to 0.14 °C, demonstrating the feasibility of performing small animal MRgHIFU experiments using clinical 3 T MRI system with WICS coil.
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Affiliation(s)
- Chien-Feng Judith Huang
- grid.19188.390000 0004 0546 0241Department of Biomedical Engineering, National Taiwan University, Taipei, 100233 Taiwan ,grid.59784.370000000406229172Institute of Biomedical Engineering and Nanomedicine, National Health Research Institutes, Miaoli, 35053 Taiwan
| | - Win-Li Lin
- grid.19188.390000 0004 0546 0241Department of Biomedical Engineering, National Taiwan University, Taipei, 100233 Taiwan ,grid.59784.370000000406229172Institute of Biomedical Engineering and Nanomedicine, National Health Research Institutes, Miaoli, 35053 Taiwan
| | - San-Chao Hwang
- MBInsight Technology Corporation, New Taipei City, 236658 Taiwan
| | - Ching Yao
- MBInsight Technology Corporation, New Taipei City, 236658 Taiwan
| | - Hsu Chang
- MBInsight Technology Corporation, New Taipei City, 236658 Taiwan
| | - Yung-Yaw Chen
- grid.19188.390000 0004 0546 0241Department of Electrical Engineering, National Taiwan University, Taipei, 100233 Taiwan
| | - Li-Wei Kuo
- grid.59784.370000000406229172Institute of Biomedical Engineering and Nanomedicine, National Health Research Institutes, Miaoli, 35053 Taiwan ,grid.19188.390000 0004 0546 0241Institute of Medical Device and Imaging, National Taiwan University, Taipei, 100233 Taiwan
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2
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Chen Q, Luo C, Tie C, Cheng C, Zou C, Zhang X, Liu X, Zheng H, Li Y. A 5‐channel local B
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shimming coil combined with a 3‐channel RF receiver coil for rat brain imaging at 3 T. Magn Reson Med 2022; 89:477-486. [DOI: 10.1002/mrm.29458] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Revised: 08/22/2022] [Accepted: 08/22/2022] [Indexed: 11/06/2022]
Affiliation(s)
- Qiaoyan Chen
- Paul C. Lauterbur Research Center for Biomedical Imaging Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences Shenzhen China
- Key Laboratory for Magnetic Resonance and Multimodality Imaging of Guangdong Province Shenzhen China
| | - Chao Luo
- Paul C. Lauterbur Research Center for Biomedical Imaging Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences Shenzhen China
- Key Laboratory for Magnetic Resonance and Multimodality Imaging of Guangdong Province Shenzhen China
| | - Changjun Tie
- Institute of Computing Technology, Chinese Academy of Sciences Beijing China
- University of Chinese Academy of Sciences Beijing China
- Peng Cheng Laboratory Shenzhen China
| | - Chuanli Cheng
- Paul C. Lauterbur Research Center for Biomedical Imaging Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences Shenzhen China
- Key Laboratory for Magnetic Resonance and Multimodality Imaging of Guangdong Province Shenzhen China
| | - Chao Zou
- Paul C. Lauterbur Research Center for Biomedical Imaging Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences Shenzhen China
- Key Laboratory for Magnetic Resonance and Multimodality Imaging of Guangdong Province Shenzhen China
| | - Xiaoliang Zhang
- Department of Biomedical Engineering State University of New York at Buffalo Buffalo New York USA
| | - Xin Liu
- Paul C. Lauterbur Research Center for Biomedical Imaging Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences Shenzhen China
- Key Laboratory for Magnetic Resonance and Multimodality Imaging of Guangdong Province Shenzhen China
| | - Hairong Zheng
- Paul C. Lauterbur Research Center for Biomedical Imaging Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences Shenzhen China
- Key Laboratory for Magnetic Resonance and Multimodality Imaging of Guangdong Province Shenzhen China
| | - Ye Li
- Paul C. Lauterbur Research Center for Biomedical Imaging Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences Shenzhen China
- Key Laboratory for Magnetic Resonance and Multimodality Imaging of Guangdong Province Shenzhen China
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3
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Li S, Yeo KS, Levee TM, Howe CJ, Her ZP, Zhu S. Zebrafish as a Neuroblastoma Model: Progress Made, Promise for the Future. Cells 2021; 10:cells10030580. [PMID: 33800887 PMCID: PMC8001113 DOI: 10.3390/cells10030580] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2021] [Revised: 03/03/2021] [Accepted: 03/04/2021] [Indexed: 12/24/2022] Open
Abstract
For nearly a decade, researchers in the field of pediatric oncology have been using zebrafish as a model for understanding the contributions of genetic alternations to the pathogenesis of neuroblastoma (NB), and exploring the molecular and cellular mechanisms that underlie neuroblastoma initiation and metastasis. In this review, we will enumerate and illustrate the key advantages of using the zebrafish model in NB research, which allows researchers to: monitor tumor development in real-time; robustly manipulate gene expression (either transiently or stably); rapidly evaluate the cooperative interactions of multiple genetic alterations to disease pathogenesis; and provide a highly efficient and low-cost methodology to screen for effective pharmaceutical interventions (both alone and in combination with one another). This review will then list some of the common challenges of using the zebrafish model and provide strategies for overcoming these difficulties. We have also included visual diagram and figures to illustrate the workflow of cancer model development in zebrafish and provide a summary comparison of commonly used animal models in cancer research, as well as key findings of cooperative contributions between MYCN and diverse singling pathways in NB pathogenesis.
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Affiliation(s)
- Shuai Li
- Department of Biochemistry and Molecular Biology, Mayo Clinic College of Medicine, Rochester, MN 55902, USA; (S.L.); (K.S.Y.); (T.M.L.); (C.J.H.); (Z.P.H.)
| | - Kok Siong Yeo
- Department of Biochemistry and Molecular Biology, Mayo Clinic College of Medicine, Rochester, MN 55902, USA; (S.L.); (K.S.Y.); (T.M.L.); (C.J.H.); (Z.P.H.)
| | - Taylor M. Levee
- Department of Biochemistry and Molecular Biology, Mayo Clinic College of Medicine, Rochester, MN 55902, USA; (S.L.); (K.S.Y.); (T.M.L.); (C.J.H.); (Z.P.H.)
| | - Cassie J. Howe
- Department of Biochemistry and Molecular Biology, Mayo Clinic College of Medicine, Rochester, MN 55902, USA; (S.L.); (K.S.Y.); (T.M.L.); (C.J.H.); (Z.P.H.)
| | - Zuag Paj Her
- Department of Biochemistry and Molecular Biology, Mayo Clinic College of Medicine, Rochester, MN 55902, USA; (S.L.); (K.S.Y.); (T.M.L.); (C.J.H.); (Z.P.H.)
| | - Shizhen Zhu
- Department of Biochemistry and Molecular Biology, Mayo Clinic College of Medicine, Rochester, MN 55902, USA; (S.L.); (K.S.Y.); (T.M.L.); (C.J.H.); (Z.P.H.)
- Department of Molecular Pharmacology & Experimental Therapeutics, Center for Individualized Medicine, Mayo Clinic College of Medicine, Rochester, MN 55902, USA
- Correspondence:
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4
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Reichardt W, von Elverfeldt D. Preclinical Applications of Magnetic Resonance Imaging in Oncology. Recent Results Cancer Res 2020; 216:405-437. [PMID: 32594394 DOI: 10.1007/978-3-030-42618-7_12] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
The evolving possibilities of molecular imaging (MI) are fundamentally changing the way we look at cancer, with imaging paradigms now shifting away from basic morphological measures toward the longitudinal assessment of functional, metabolic, cellular, and molecular information in vivo. Recent developments of imaging methodology and probe molecules utilizing the vast number of novel animal models of human cancers have enhanced our ability to non-invasively characterize neoplastic tissue and follow anticancer treatments. While preclinical molecular imaging offers a whole palette of excellent methodology to choose from, we will focus on magnetic resonance imaging (MRI) techniques, since they provide excellent molecular imaging capabilities and bear high potential for clinical translation. Prerequisites and consequences of using animal models as surrogates of human cancers in preclinical molecular imaging are outlined. We present physical principles, values, and limitations of MRI as molecular imaging modality and comment on its high potential to non-invasively assess information on metabolism, hypoxia, angiogenesis, and cell trafficking in preclinical cancer research.
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Affiliation(s)
- Wilfried Reichardt
- Medical Physics, Department of Radiology, Faculty of Medicine, University of Freiburg, Freiburg, Germany. .,German Consortium for Translational Cancer Research (DKTK), Heidelberg, Germany. .,German Cancer Research Center (DKFZ), Heidelberg, Germany.
| | - Dominik von Elverfeldt
- Medical Physics, Department of Radiology, Faculty of Medicine, University of Freiburg, Freiburg, Germany
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5
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Cho KH, Huang SM, Choi CH, Chen MJ, Chiang HH, Buschbeck RP, Farrher E, Shah NJ, Garipov R, Chang CP, Chang H, Kuo LW. Development, integration and use of an ultra-high-strength gradient system on a human-size 3 T magnet for small animal MRI. PLoS One 2019; 14:e0217916. [PMID: 31158259 PMCID: PMC6546248 DOI: 10.1371/journal.pone.0217916] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2019] [Accepted: 05/21/2019] [Indexed: 11/18/2022] Open
Abstract
This study aims to integrate an ultra-high-strength gradient coil system on a clinical 3 T magnet and demonstrate its preclinical imaging capabilities. Dedicated phantoms were used to qualitatively and quantitatively assess the performance of the gradient system. Advanced MR imaging sequences, including diffusion tensor imaging (DTI) and quantitative susceptibility mapping (QSM), were implemented and executed on an ex vivo specimen as well as in vivo rats. The DTI and QSM results on the phantom agreed well with those in the literature. Furthermore, studies on ex vivo specimens have demonstrated the applicability of DTI and QSM on our system to probe microstructural changes in a mild traumatic brain injury rat model. The feasibility of in vivo rat DTI was also demonstrated. We showed that the inserted ultra-high-strength gradient coil was successfully integrated on a clinically used magnet. After careful tuning and calibration, we verified the accuracy and quantitative preclinical imaging capability of the integrated system in phantom and in vivo rat brain experiments. This study can be essential to establish dedicated animal MRI platform on clinical MRI scanners and facilitate translational studies at clinical settings.
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Affiliation(s)
- Kuan-Hung Cho
- Institute of Biomedical Engineering and Nanomedicine, National Health Research Institutes, Miaoli, Taiwan
| | - Sheng-Min Huang
- Institute of Biomedical Engineering and Nanomedicine, National Health Research Institutes, Miaoli, Taiwan
- Department of Biomedical Engineering and Environmental Sciences, National Tsing Hua University, Hsinchu, Taiwan
| | - Chang-Hoon Choi
- Institute of Neuroscience and Medicine 4, INM-4, Forschungszentrum Jülich, Jülich, Germany
| | - Ming-Jye Chen
- Institute of Biomedical Engineering and Nanomedicine, National Health Research Institutes, Miaoli, Taiwan
| | - Hsuan-Han Chiang
- Institute of Biomedical Engineering and Nanomedicine, National Health Research Institutes, Miaoli, Taiwan
| | - Richard P. Buschbeck
- Institute of Neuroscience and Medicine 4, INM-4, Forschungszentrum Jülich, Jülich, Germany
| | - Ezequiel Farrher
- Institute of Neuroscience and Medicine 4, INM-4, Forschungszentrum Jülich, Jülich, Germany
| | - N. Jon Shah
- Institute of Neuroscience and Medicine 4, INM-4, Forschungszentrum Jülich, Jülich, Germany
- Institute of Neuroscience and Medicine 11, INM-11, Forschungszentrum Jülich, Jülich, Germany
- JARA–BRAIN–Translational Medicine, Aachen, Germany
- Department of Neurology, RWTH Aachen University, Aachen, Germany
| | | | - Ching-Ping Chang
- Department of Medical Research, Chi Mei Medical Center, Tainan, Taiwan
| | - Hsu Chang
- Institute of Biomedical Engineering and Nanomedicine, National Health Research Institutes, Miaoli, Taiwan
| | - Li-Wei Kuo
- Institute of Biomedical Engineering and Nanomedicine, National Health Research Institutes, Miaoli, Taiwan
- Institute of Medical Device and Imaging, National Taiwan University College of Medicine, Taipei, Taiwan
- * E-mail:
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6
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Zormpas-Petridis K, Jerome NP, Blackledge MD, Carceller F, Poon E, Clarke M, McErlean CM, Barone G, Koers A, Vaidya SJ, Marshall LV, Pearson ADJ, Moreno L, Anderson J, Sebire N, McHugh K, Koh DM, Yuan Y, Chesler L, Robinson SP, Jamin Y. MRI Imaging of the Hemodynamic Vasculature of Neuroblastoma Predicts Response to Antiangiogenic Treatment. Cancer Res 2019; 79:2978-2991. [PMID: 30877107 PMCID: PMC6558276 DOI: 10.1158/0008-5472.can-18-3412] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2018] [Revised: 01/25/2019] [Accepted: 03/12/2019] [Indexed: 12/14/2022]
Abstract
Childhood neuroblastoma is a hypervascular tumor of neural origin, for which antiangiogenic drugs are currently being evaluated; however, predictive biomarkers of treatment response, crucial for successful delivery of precision therapeutics, are lacking. We describe an MRI-pathologic cross-correlative approach using intrinsic susceptibility (IS) and susceptibility contrast (SC) MRI to noninvasively map the vascular phenotype in neuroblastoma Th-MYCN transgenic mice treated with the vascular endothelial growth factor receptor inhibitor cediranib. We showed that the transverse MRI relaxation rate R 2* (second-1) and fractional blood volume (fBV, %) were sensitive imaging biomarkers of hemorrhage and vascular density, respectively, and were also predictive biomarkers of response to cediranib. Comparison with MRI and pathology from patients with MYCN-amplified neuroblastoma confirmed the high degree to which the Th-MYCN model vascular phenotype recapitulated that of the clinical phenotype, thereby supporting further evaluation of IS- and SC-MRI in the clinic. This study reinforces the potential role of functional MRI in delivering precision medicine to children with neuroblastoma. SIGNIFICANCE: This study shows that functional MRI predicts response to vascular-targeted therapy in a genetically engineered murine model of neuroblastoma.
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Affiliation(s)
- Konstantinos Zormpas-Petridis
- Division of Radiotherapy and Imaging, The Institute of Cancer Research, London and The Royal Marsden NHS Trust, Sutton, Surrey, United Kingdom
| | - Neil P Jerome
- Division of Radiotherapy and Imaging, The Institute of Cancer Research, London and The Royal Marsden NHS Trust, Sutton, Surrey, United Kingdom
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Clinic of Radiology and Nuclear Medicine, St. Olavs Hospital, Trondheim, Norway
| | - Matthew D Blackledge
- Division of Radiotherapy and Imaging, The Institute of Cancer Research, London and The Royal Marsden NHS Trust, Sutton, Surrey, United Kingdom
| | - Fernando Carceller
- Division of Clinical Studies, The Institute of Cancer Research, London and The Royal Marsden NHS Trust, Sutton, Surrey, United Kingdom
| | - Evon Poon
- Division of Clinical Studies, The Institute of Cancer Research, London and The Royal Marsden NHS Trust, Sutton, Surrey, United Kingdom
| | - Matthew Clarke
- Division of Molecular Pathology, The Institute of Cancer Research, London and The Royal Marsden NHS Trust, Sutton, Surrey, United Kingdom
| | - Ciara M McErlean
- Division of Radiotherapy and Imaging, The Institute of Cancer Research, London and The Royal Marsden NHS Trust, Sutton, Surrey, United Kingdom
| | - Giuseppe Barone
- Department of Pediatric Oncology, Great Ormond Street Hospital for Children, London, United Kingdom
| | - Alexander Koers
- Division of Clinical Studies, The Institute of Cancer Research, London and The Royal Marsden NHS Trust, Sutton, Surrey, United Kingdom
| | - Sucheta J Vaidya
- Division of Clinical Studies, The Institute of Cancer Research, London and The Royal Marsden NHS Trust, Sutton, Surrey, United Kingdom
| | - Lynley V Marshall
- Division of Clinical Studies, The Institute of Cancer Research, London and The Royal Marsden NHS Trust, Sutton, Surrey, United Kingdom
| | - Andrew D J Pearson
- Division of Clinical Studies, The Institute of Cancer Research, London and The Royal Marsden NHS Trust, Sutton, Surrey, United Kingdom
| | - Lucas Moreno
- Clinical Research Unit, Pediatric Oncology, Hematology and Stem Cell Transplant Department, Hospital Infantil Universitario Ninõ Jesús, Madrid, Spain
| | - John Anderson
- Department of Pediatric Oncology, Great Ormond Street Hospital for Children, London, United Kingdom
- UCL Great Ormond Street Institute of Child Health, London, United Kingdom
| | - Neil Sebire
- UCL Great Ormond Street Institute of Child Health, London, United Kingdom
- Department of Histopathology, Great Ormond Street Hospital for Children, London, United Kingdom
| | - Kieran McHugh
- Department of Radiology, Great Ormond Street Hospital for Children, London, United Kingdom
| | - Dow-Mu Koh
- Division of Radiotherapy and Imaging, The Institute of Cancer Research, London and The Royal Marsden NHS Trust, Sutton, Surrey, United Kingdom
| | - Yinyin Yuan
- Division of Molecular Pathology, The Institute of Cancer Research, London and The Royal Marsden NHS Trust, Sutton, Surrey, United Kingdom
| | - Louis Chesler
- Division of Clinical Studies, The Institute of Cancer Research, London and The Royal Marsden NHS Trust, Sutton, Surrey, United Kingdom
| | - Simon P Robinson
- Division of Radiotherapy and Imaging, The Institute of Cancer Research, London and The Royal Marsden NHS Trust, Sutton, Surrey, United Kingdom
| | - Yann Jamin
- Division of Radiotherapy and Imaging, The Institute of Cancer Research, London and The Royal Marsden NHS Trust, Sutton, Surrey, United Kingdom.
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7
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Blocker SJ, Mowery YM, Holbrook MD, Qi Y, Kirsch DG, Johnson GA, Badea CT. Bridging the translational gap: Implementation of multimodal small animal imaging strategies for tumor burden assessment in a co-clinical trial. PLoS One 2019; 14:e0207555. [PMID: 30958825 PMCID: PMC6453461 DOI: 10.1371/journal.pone.0207555] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2018] [Accepted: 03/13/2019] [Indexed: 12/17/2022] Open
Abstract
In designing co-clinical cancer studies, preclinical imaging brings unique challenges that emphasize the gap between man and mouse. Our group is developing quantitative imaging methods for the preclinical arm of a co-clinical trial studying immunotherapy and radiotherapy in a soft tissue sarcoma model. In line with treatment for patients enrolled in the clinical trial SU2C-SARC032, primary mouse sarcomas are imaged with multi-contrast micro-MRI (T1 weighted, T2 weighted, and T1 with contrast) before and after immune checkpoint inhibition and pre-operative radiation therapy. Similar to the patients, after surgery the mice will be screened for lung metastases with micro-CT using respiratory gating. A systems evaluation was undertaken to establish a quantitative baseline for both the MR and micro-CT systems against which others systems might be compared. We have constructed imaging protocols which provide clinically-relevant resolution and contrast in a genetically engineered mouse model of sarcoma. We have employed tools in 3D Slicer for semi-automated segmentation of both MR and micro-CT images to measure tumor volumes efficiently and reliably in a large number of animals. Assessment of tumor burden in the resulting images was precise, repeatable, and reproducible. Furthermore, we have implemented a publicly accessible platform for sharing imaging data collected during the study, as well as protocols, supporting information, and data analyses. In doing so, we aim to improve the clinical relevance of small animal imaging and begin establishing standards for preclinical imaging of tumors from the perspective of a co-clinical trial.
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Affiliation(s)
- S. J. Blocker
- Center for In Vivo Microscopy, Duke University Medical Center, Durham, NC, United States of America
| | - Y. M. Mowery
- Department of Radiation Oncology, Duke University Medical Center, Durham, NC, United States of America
| | - M. D. Holbrook
- Center for In Vivo Microscopy, Duke University Medical Center, Durham, NC, United States of America
| | - Y. Qi
- Center for In Vivo Microscopy, Duke University Medical Center, Durham, NC, United States of America
| | - D. G. Kirsch
- Department of Radiation Oncology, Duke University Medical Center, Durham, NC, United States of America
- Department of Pharmacology & Cancer Biology, Duke University Medical Center, Durham, NC, United States of America
| | - G. A. Johnson
- Center for In Vivo Microscopy, Duke University Medical Center, Durham, NC, United States of America
| | - C. T. Badea
- Center for In Vivo Microscopy, Duke University Medical Center, Durham, NC, United States of America
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