Quantitative correlational study of microbubble-enhanced ultrasound imaging and magnetic resonance imaging of glioma and early response to radiotherapy in a rat model.
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| Title: | Quantitative correlational study of microbubble-enhanced ultrasound imaging and magnetic resonance imaging of glioma and early response to radiotherapy in a rat model. |
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| Authors: | Yang, Chen1, Lee, Dong‐Hoon2, Mangraviti, Antonella3, Su, Lin4, Zhang, Kai2, Zhang, Yin4, Zhang, Bin4, Li, Wenxiao2, Tyler, Betty3, Wong, John4, Wang, Ken Kang‐Hsin4, Velarde, Esteban4, Zhou, Jinyuan2, Ding, Kai4 |
| Source: | Medical Physics. Aug2015, Vol. 42 Issue 8, p4762-4772. 11p. |
| Subjects: | Glioma treatment, Microbubble diagnosis, Cancer radiotherapy, Ultrasonic imaging of cancer, Tumors, Laboratory rats, Magnetic resonance imaging |
| Abstract: | Purpose: Radiotherapy remains a major treatment method for malignant tumors. Magnetic resonance imaging (MRI) is the standard modality for assessing glioma treatment response in the clinic. Compared to MRI, ultrasound imaging is low-cost and portable and can be used during intraoperative procedures. The purpose of this study was to quantitatively compare contrast-enhanced ultrasound (CEUS) imaging and MRI of irradiated gliomas in rats and to determine which quantitative ultrasound imaging parameters can be used for the assessment of early response to radiation in glioma. Methods: Thirteen nude rats with U87 glioma were used. A small thinned skull window preparation was performed to facilitate ultrasound imaging and mimic intraoperative procedures. Both CEUS and MRI with structural, functional, and molecular imaging parameters were performed at preradiation and at 1 day and 4 days postradiation. Statistical analysis was performed to determine the correlations between MRI and CEUS parameters and the changes between pre- and postradiation imaging. Results: Area under the curve (AUC) in CEUS showed significant difference between preradiation and 4 days postradiation, along with four MRI parameters, T2, apparent diffusion coefficient, cerebral blood flow, and amide proton transfer-weighted (APTw) (all p < 0.05). The APTw signal was correlated with three CEUS parameters, rise time (r = -0.527, p < 0.05), time to peak (r = -0.501, p < 0.05), and perfusion index (r = 458, p < 0.05). Cerebral blood flow was correlated with rise time (r = -0.589, p < 0.01) and time to peak (r = -0.543, p < 0.05). Conclusions: MRI can be used for the assessment of radiotherapy treatment response and CEUS with AUC as a new technique and can also be one of the assessment methods for early response to radiation in glioma. [ABSTRACT FROM AUTHOR] |
| Copyright of Medical Physics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
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| Items | – Name: Title Label: Title Group: Ti Data: Quantitative correlational study of microbubble-enhanced ultrasound imaging and magnetic resonance imaging of glioma and early response to radiotherapy in a rat model. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Yang%2C+Chen%22">Yang, Chen</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Lee%2C+Dong‐Hoon%22">Lee, Dong‐Hoon</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Mangraviti%2C+Antonella%22">Mangraviti, Antonella</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Su%2C+Lin%22">Su, Lin</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22Zhang%2C+Kai%22">Zhang, Kai</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Zhang%2C+Yin%22">Zhang, Yin</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22Zhang%2C+Bin%22">Zhang, Bin</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22Li%2C+Wenxiao%22">Li, Wenxiao</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Tyler%2C+Betty%22">Tyler, Betty</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Wong%2C+John%22">Wong, John</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22Wang%2C+Ken+Kang‐Hsin%22">Wang, Ken Kang‐Hsin</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22Velarde%2C+Esteban%22">Velarde, Esteban</searchLink><relatesTo>4</relatesTo><br /><searchLink fieldCode="AR" term="%22Zhou%2C+Jinyuan%22">Zhou, Jinyuan</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Ding%2C+Kai%22">Ding, Kai</searchLink><relatesTo>4</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Medical+Physics%22">Medical Physics</searchLink>. Aug2015, Vol. 42 Issue 8, p4762-4772. 11p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Glioma+treatment%22">Glioma treatment</searchLink><br /><searchLink fieldCode="DE" term="%22Microbubble+diagnosis%22">Microbubble diagnosis</searchLink><br /><searchLink fieldCode="DE" term="%22Cancer+radiotherapy%22">Cancer radiotherapy</searchLink><br /><searchLink fieldCode="DE" term="%22Ultrasonic+imaging+of+cancer%22">Ultrasonic imaging of cancer</searchLink><br /><searchLink fieldCode="DE" term="%22Tumors%22">Tumors</searchLink><br /><searchLink fieldCode="DE" term="%22Laboratory+rats%22">Laboratory rats</searchLink><br /><searchLink fieldCode="DE" term="%22Magnetic+resonance+imaging%22">Magnetic resonance imaging</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Purpose: Radiotherapy remains a major treatment method for malignant tumors. Magnetic resonance imaging (MRI) is the standard modality for assessing glioma treatment response in the clinic. Compared to MRI, ultrasound imaging is low-cost and portable and can be used during intraoperative procedures. The purpose of this study was to quantitatively compare contrast-enhanced ultrasound (CEUS) imaging and MRI of irradiated gliomas in rats and to determine which quantitative ultrasound imaging parameters can be used for the assessment of early response to radiation in glioma. Methods: Thirteen nude rats with U87 glioma were used. A small thinned skull window preparation was performed to facilitate ultrasound imaging and mimic intraoperative procedures. Both CEUS and MRI with structural, functional, and molecular imaging parameters were performed at preradiation and at 1 day and 4 days postradiation. Statistical analysis was performed to determine the correlations between MRI and CEUS parameters and the changes between pre- and postradiation imaging. Results: Area under the curve (AUC) in CEUS showed significant difference between preradiation and 4 days postradiation, along with four MRI parameters, T2, apparent diffusion coefficient, cerebral blood flow, and amide proton transfer-weighted (APTw) (all p < 0.05). The APTw signal was correlated with three CEUS parameters, rise time (r = -0.527, p < 0.05), time to peak (r = -0.501, p < 0.05), and perfusion index (r = 458, p < 0.05). Cerebral blood flow was correlated with rise time (r = -0.589, p < 0.01) and time to peak (r = -0.543, p < 0.05). Conclusions: MRI can be used for the assessment of radiotherapy treatment response and CEUS with AUC as a new technique and can also be one of the assessment methods for early response to radiation in glioma. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Medical Physics is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1118/1.4926550 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 4762 Subjects: – SubjectFull: Glioma treatment Type: general – SubjectFull: Microbubble diagnosis Type: general – SubjectFull: Cancer radiotherapy Type: general – SubjectFull: Ultrasonic imaging of cancer Type: general – SubjectFull: Tumors Type: general – SubjectFull: Laboratory rats Type: general – SubjectFull: Magnetic resonance imaging Type: general Titles: – TitleFull: Quantitative correlational study of microbubble-enhanced ultrasound imaging and magnetic resonance imaging of glioma and early response to radiotherapy in a rat model. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Yang, Chen – PersonEntity: Name: NameFull: Lee, Dong‐Hoon – PersonEntity: Name: NameFull: Mangraviti, Antonella – PersonEntity: Name: NameFull: Su, Lin – PersonEntity: Name: NameFull: Zhang, Kai – PersonEntity: Name: NameFull: Zhang, Yin – PersonEntity: Name: NameFull: Zhang, Bin – PersonEntity: Name: NameFull: Li, Wenxiao – PersonEntity: Name: NameFull: Tyler, Betty – PersonEntity: Name: NameFull: Wong, John – PersonEntity: Name: NameFull: Wang, Ken Kang‐Hsin – PersonEntity: Name: NameFull: Velarde, Esteban – PersonEntity: Name: NameFull: Zhou, Jinyuan – PersonEntity: Name: NameFull: Ding, Kai IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 08 Text: Aug2015 Type: published Y: 2015 Identifiers: – Type: issn-print Value: 00942405 Numbering: – Type: volume Value: 42 – Type: issue Value: 8 Titles: – TitleFull: Medical Physics Type: main |
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