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Yamamoto T, Kabus S, Bal M, Keall P, Moran A, Wright C, Benedict S, Holland D, Mahaffey N, Qi L, Daly M. EP05.01-019 4D CT Ventilation Image-Guided Lung Functional Avoidance Radiotherapy: A Single-Arm Prospective Pilot Clinical Trial. J Thorac Oncol 2022. [DOI: 10.1016/j.jtho.2022.07.466] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
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Payne A, Chopra R, Ellens N, Chen L, Ghanouni P, Sammet S, Diederich C, Ter Haar G, Parker D, Moonen C, Stafford J, Moros E, Schlesinger D, Benedict S, Wear K, Partanen A, Farahani K. AAPM Task Group 241: A medical physicist's guide to MRI-guided focused ultrasound body systems. Med Phys 2021; 48:e772-e806. [PMID: 34224149 DOI: 10.1002/mp.15076] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2020] [Revised: 04/28/2021] [Accepted: 06/21/2021] [Indexed: 11/07/2022] Open
Abstract
Magnetic resonance-guided focused ultrasound (MRgFUS) is a completely non-invasive technology that has been approved by FDA to treat several diseases. This report, prepared by the American Association of Physicist in Medicine (AAPM) Task Group 241, provides background on MRgFUS technology with a focus on clinical body MRgFUS systems. The report addresses the issues of interest to the medical physics community, specific to the body MRgFUS system configuration, and provides recommendations on how to successfully implement and maintain a clinical MRgFUS program. The following sections describe the key features of typical MRgFUS systems and clinical workflow and provide key points and best practices for the medical physicist. Commonly used terms, metrics and physics are defined and sources of uncertainty that affect MRgFUS procedures are described. Finally, safety and quality assurance procedures are explained, the recommended role of the medical physicist in MRgFUS procedures is described, and regulatory requirements for planning clinical trials are detailed. Although this report is limited in scope to clinical body MRgFUS systems that are approved or currently undergoing clinical trials in the United States, much of the material presented is also applicable to systems designed for other applications.
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Affiliation(s)
- Allison Payne
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT, USA
| | - Rajiv Chopra
- Department of Radiology, UT Southwestern Medical Center, Dallas, TX, USA
| | | | - Lili Chen
- Department of Radiation Oncology, Fox Chase Cancer Center, Philadelphia, PA, USA
| | - Pejman Ghanouni
- Department of Radiology, Stanford University, Stanford, CA, USA
| | - Steffen Sammet
- Department of Radiology, University of Chicago, Chicago, IL, USA
| | - Chris Diederich
- Department of Radiation Oncology, University of California San Francisco, San Francisco, CA, USA
| | | | - Dennis Parker
- Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT, USA
| | - Chrit Moonen
- Imaging Division, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Jason Stafford
- Department of Imaging Physics, MD Anderson Cancer Center, Houston, TX, USA
| | - Eduardo Moros
- Department of Radiation Oncology, Moffitt Cancer Center, Tampa, FL, USA
| | - David Schlesinger
- Department of Radiation Oncology, University of Virginia, Charlottesville, VA, USA
| | | | - Keith Wear
- U.S. Food and Drug Administration, Silver Spring, MD, USA
| | | | - Keyvan Farahani
- National Cancer Institute, National Institutes of Health, Rockville, MD, USA
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Soltys SG, Grimm J, Milano MT, Xue J, Sahgal A, Yorke E, Yamada Y, Ding GX, Li XA, Lovelock DM, Jackson A, Ma L, El Naqa I, Gibbs IC, Marks LB, Benedict S. Stereotactic Body Radiation Therapy for Spinal Metastases: Tumor Control Probability Analyses and Recommended Reporting Standards. Int J Radiat Oncol Biol Phys 2021; 110:112-123. [PMID: 33516580 DOI: 10.1016/j.ijrobp.2020.11.021] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Revised: 11/02/2020] [Accepted: 11/09/2020] [Indexed: 01/07/2023]
Abstract
PURPOSE We sought to investigate the tumor control probability (TCP) of spinal metastases treated with stereotactic body radiation therapy (SBRT) in 1 to 5 fractions. METHODS AND MATERIALS PubMed-indexed articles from 1995 to 2018 were eligible for data extraction if they contained SBRT dosimetric details correlated with actuarial 2-year local tumor control rates. Logistic dose-response models of collected data were compared in terms of physical dose and 3-fraction equivalent dose. RESULTS Data were extracted from 24 articles with 2619 spinal metastases. Physical dose TCP modeling of 2-year local tumor control from the single-fraction data were compared with data from 2 to 5 fractions, resulting in an estimated α/β = 6 Gy, and this was used to pool data. Acknowledging the uncertainty intrinsic to the data extraction and modeling process, the 90% TCP corresponded to 20 Gy in 1 fraction, 28 Gy in 2 fractions, 33 Gy in 3 fractions, and (with extrapolation) 40 Gy in 5 fractions. The estimated TCP for common fractionation schemes was 82% at 18 Gy, 90% for 20 Gy, and 96% for 24 Gy in a single fraction, 82% for 24 Gy in 2 fractions, and 78% for 27 Gy in 3 fractions. CONCLUSIONS Spinal SBRT with the most common fractionation schemes yields 2-year estimates of local control of 82% to 96%. Given the heterogeneity in the tumor control estimates extracted from the literature, with variability in reporting of dosimetry data and the definition of and statistical methods of reporting tumor control, care should be taken interpreting the resultant model-based estimates. Depending on the clinical intent, the improved TCP with higher dose regimens should be weighed against the potential risks for greater toxicity. We encourage future reports to provide full dosimetric data correlated with tumor local control to allow future efforts of modeling pooled data.
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Affiliation(s)
- Scott G Soltys
- Department of Radiation Oncology, Stanford University, Stanford, California.
| | - Jimm Grimm
- Department of Radiation Oncology, Geisinger Health System, Danville, Pennsylvania; Department of Medical Imaging and Radiation Sciences, Thomas Jefferson University, Philadelphia, Pennsylvania
| | - Michael T Milano
- Department of Radiation Oncology, University of Rochester, Rochester, New York
| | - Jinyu Xue
- Department of Radiation Oncology, NYU Langone Medical Center, New York, New York
| | - Arjun Sahgal
- Department of Radiation Oncology, Odette Cancer Center, Sunnybrook Health Sciences Center, University of Toronto, Toronto, ON, Canada
| | - Ellen Yorke
- Department of Medical Physics, Memorial Sloan-Kettering Cancer Center, New York, New York
| | - Yoshiya Yamada
- Department of Radiation Oncology, Memorial Sloan-Kettering Cancer Center, New York, New York
| | - George X Ding
- Department of Radiation Oncology, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - X Allen Li
- Department of Radiation Oncology, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - D Michael Lovelock
- Department of Medical Physics, Memorial Sloan-Kettering Cancer Center, New York, New York
| | - Andrew Jackson
- Department of Medical Physics, Memorial Sloan-Kettering Cancer Center, New York, New York
| | - Lijun Ma
- Department of Radiation Oncology, University of California, San Francisco, San Francisco, California
| | - Issam El Naqa
- Machine Learning Department, Moffitt Cancer Center, Tampa, Florida
| | - Iris C Gibbs
- Department of Radiation Oncology, Stanford University, Stanford, California
| | - Lawrence B Marks
- Department of Radiation Oncology, University of North Carolina, Lineberger Cancer Center, Chapel Hill, North Carolina
| | - Stanley Benedict
- Department of Radiation Oncology, University of California at Davis, Sacramento, California
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Redmond KJ, Gui C, Benedict S, Milano MT, Grimm J, Vargo JA, Soltys SG, Yorke E, Jackson A, El Naqa I, Marks LB, Xue J, Heron DE, Kleinberg LR. Tumor Control Probability of Radiosurgery and Fractionated Stereotactic Radiosurgery for Brain Metastases. Int J Radiat Oncol Biol Phys 2020; 110:53-67. [PMID: 33390244 DOI: 10.1016/j.ijrobp.2020.10.034] [Citation(s) in RCA: 64] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2020] [Accepted: 10/25/2020] [Indexed: 11/30/2022]
Abstract
PURPOSE As part of the American Association of Physicists in Medicine Working Group on Stereotactic Body Radiotherapy, tumor control probability (TCP) after stereotactic radiosurgery (SRS) and fractionated stereotactic radiosurgery (fSRS) for brain metastases was modeled based on pooled dosimetric and clinical data from published English-language literature. METHODS AND MATERIALS PubMed-indexed studies published between January 1995 and September 2017 were used to evaluate dosimetric and clinical predictors of TCP after SRS or fSRS for brain metastases. Eligible studies had ≥10 patients and included detailed dose-fractionation data with corresponding ≥1-year local control (LC) data, typically evaluated as a >20% increase in diameter of the targeted lesion using the pre-SRS diameter as a reference. RESULTS Of 2951 potentially eligible manuscripts, 56 included sufficient dose-volume data for analyses. Accepting that necrosis and pseudoprogression can complicate the assessment of LC, for tumors ≤20 mm, single-fraction doses of 18 and 24 Gy corresponded with >85% and 95% 1-year LC rates, respectively. For tumors 21 to 30 mm, an 18 Gy single-fraction dose was associated with 75% LC. For tumors 31 to 40 mm, a 15 Gy single-fraction dose yielded ∼69% LC. For 3- to 5-fraction fSRS using doses in the range of 27 to 35 Gy, 80% 1-year LC has been achieved for tumors of 21 to 40 mm in diameter. CONCLUSIONS TCP for SRS and fSRS are presented. For small lesions ≤20 mm, single doses of ≈18 Gy appear generally associated with excellent rates of LC; for melanoma, higher doses seem warranted. For larger lesions >20 mm, local control rates appear to be ≈ 70% to 75% with usual doses of 15 to 18 Gy, and in this setting, fSRS regimens should be considered. Greater consistency in reporting of dosimetric and LC data is needed to facilitate future pooled analyses. As systemic and biologic therapies evolve, updated analyses will be needed to further assess the necessity, efficacy, and toxicity of SRS and fSRS.
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Affiliation(s)
- Kristin J Redmond
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland.
| | - Chengcheng Gui
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Stanley Benedict
- Department of Radiation Oncology, University of California at Davis Comprehensive Cancer Center, Sacramento, California
| | - Michael T Milano
- Department of Radiation Oncology, University of Rochester, Rochester, New York
| | - Jimm Grimm
- Department of Radiation Oncology, Geisinger Medical Center, Danville, Pennsylvania
| | - J Austin Vargo
- Department of Radiation Oncology, UPMC Hillman Cancer Center, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - Scott G Soltys
- Department of Radiation Oncology, Stanford University, Stanford, California
| | - Ellen Yorke
- Medical Physics Department, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Andrew Jackson
- Medical Physics Department, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Issam El Naqa
- Department of Machine Learning and Radiation Oncology, Moffitt Cancer Center, Tampa, Florida
| | - Lawrence B Marks
- Department of Radiation Oncology and the Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill
| | - Jinyu Xue
- Department of Radiation Oncology, New York University, New York, New York
| | - Dwight E Heron
- Department of Radiation Oncology, Bon Secours Mercy Health System, Youngstown, Ohio
| | - Lawrence R Kleinberg
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland
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Chetvertkov M, Monroe JI, Boparai J, Solberg TD, Pafundi DH, Ruo RL, Gladstone DJ, Yin FF, Chetty IJ, Benedict S, Followill DS, Xiao Y, Sohn JW. NRG Oncology Survey on Practice and Technology Use in SRT and SBRT Delivery. Front Oncol 2020; 10:602607. [PMID: 33330102 PMCID: PMC7729187 DOI: 10.3389/fonc.2020.602607] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Accepted: 10/27/2020] [Indexed: 12/31/2022] Open
Abstract
PURPOSE To assess stereotactic radiotherapy (SRT)/stereotactic body radiotherapy (SBRT) practices by polling clinics participating in multi-institutional clinical trials. METHODS The NRG Oncology Medical Physics Subcommittee distributed a survey consisting of 23 questions, which covered general technologies, policies, and procedures used in the Radiation Oncology field for the delivery of SRT/SBRT (9 questions), and site-specific questions for brain SRT, lung SBRT, and prostate SBRT (14 questions). Surveys were distributed to 1,996 radiotherapy institutions included on the membership rosters of the five National Clinical Trials Network (NCTN) groups. Patient setup, motion management, target localization, prescriptions, and treatment delivery technique data were reported back by 568 institutions (28%). RESULTS 97.5% of respondents treat lung SBRT patients, 77.0% perform brain SRT, and 29.1% deliver prostate SBRT. 48.8% of clinics require a physicist present for every fraction of SBRT, 18.5% require a physicist present for the initial SBRT fraction only, and 14.9% require a physicist present for the entire first fraction, including set-up approval for all subsequent fractions. 55.3% require physician approval for all fractions, and 86.7% do not reposition without x-ray imaging. For brain SRT, most institutions (83.9%) use a planning target volume (PTV) margin of 2 mm or less. Lung SBRT PTV margins of 3 mm or more are used in 80.6% of clinics. Volumetric modulated arc therapy (VMAT) is the dominant delivery method in 62.8% of SRT treatments, 70.9% of lung SBRT, and 68.3% of prostate SBRT. CONCLUSION This report characterizes SRT/SBRT practices in radiotherapy clinics participating in clinical trials. Data made available here allows the radiotherapy community to compare their practice with that of other clinics, determine what is achievable, and assess areas for improvement.
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Affiliation(s)
| | - James Ira Monroe
- Department of Radiation Oncology, Mercy Hospital South, St. Louis, MO, United States
| | - Jaskaran Boparai
- Operations Department, NRG Oncology, Philadelphia, PA, United States
| | - Timothy D. Solberg
- United States Food and Drug Administration, Silver Spring, MD, United States
| | - Deanna H. Pafundi
- Department of Radiation Oncology, Mayo Clinic, Jacksonville, FL, United States
| | - Russell L. Ruo
- Department of Medical Physics, McGill University Health Centre, Montreal, QC, Canada
| | - David J. Gladstone
- Radiation Oncology Department, Dartmouth-Hitchcock Medical Center, Lebanon, NH, United States
| | - Fang-Fang Yin
- Radiation Oncology Department, Duke University Medical Center, Durham, NC, United States
| | - Indrin J. Chetty
- Department of Radiation Oncology, Henry Ford Cancer Institute, Detroit, MI, United States
| | - Stanley Benedict
- Department of Radiation Oncology, University of California at Davis, Sacramento, CA, United States
| | - David S. Followill
- IROC Houston Quality Assurance Center, University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Ying Xiao
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA, United States
| | - Jason W. Sohn
- Cancer Institute, Allegheny Health Network, Pittsburgh, PA, United States
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St James S, Bednarz B, Benedict S, Buchsbaum JC, Dewaraja Y, Frey E, Hobbs R, Grudzinski J, Roncali E, Sgouros G, Capala J, Xiao Y. Current Status of Radiopharmaceutical Therapy. Int J Radiat Oncol Biol Phys 2020; 109:891-901. [PMID: 32805300 DOI: 10.1016/j.ijrobp.2020.08.035] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2020] [Accepted: 08/06/2020] [Indexed: 02/02/2023]
Abstract
In radiopharmaceutical therapy (RPT), a radionuclide is systemically or locally delivered with the goal of targeting and delivering radiation to cancer cells while minimizing radiation exposure to untargeted cells. Examples of current RPTs include thyroid ablation with the administration of 131I, treatment of liver cancer with 90Y microspheres, the treatment of bony metastases with 223Ra, and the treatment of neuroendocrine tumors with 177Lu-DOTATATE. New RPTs are being developed where radionuclides are incorporated into systemic targeted therapies. To assure that RPT is appropriately implemented, advances in targeting need to be matched with advances in quantitative imaging and dosimetry methods. Currently, radiopharmaceutical therapy is administered by intravenous or locoregional injection, and the treatment planning has typically been implemented like chemotherapy, where the activity administered is either fixed or based on a patient's body weight or body surface area. RPT pharmacokinetics are measurable by quantitative imaging and are known to vary across patients, both in tumors and normal tissues. Therefore, fixed or weight-based activity prescriptions are not currently optimized to deliver a cytotoxic dose to targets while remaining within the tolerance dose of organs at risk. Methods that provide dose estimates to individual patients rather than to reference geometries are needed to assess and adjust the injected RPT dose. Accurate doses to targets and organs at risk will benefit the individual patients and decrease uncertainties in clinical trials. Imaging can be used to measure activity distribution in vivo, and this information can be used to determine patient-specific treatment plans where the dose to the targets and organs at risk can be calculated. The development and adoption of imaging-based dosimetry methods is particularly beneficial in early clinical trials. In this work we discuss dosimetric accuracy needs in modern radiation oncology, uncertainties in the dosimetry in RPT, and best approaches for imaging and dosimetry of internal radionuclide therapy.
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Affiliation(s)
- Sara St James
- Department of Radiation Oncology, University of California San Francisco, San Francisco, California.
| | - Bryan Bednarz
- Department of Medical Physics and Human Oncology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Stanley Benedict
- Department of Radiation Oncology, University of California Davis, Sacramento, California
| | - Jeffrey C Buchsbaum
- Radiation Research Program, Division of Cancer Treatment and Diagnosis, NCI, NIH, Bethesda, Maryland
| | - Yuni Dewaraja
- Department of Radiology, University of Michigan, Ann Arbor, Michigan
| | - Eric Frey
- Department of Radiology, Johns Hopkins University, Baltimore, Maryland
| | - Robert Hobbs
- Department of Radiology, Johns Hopkins University, Baltimore, Maryland
| | | | - Emilie Roncali
- Department of Radiation Oncology, University of California Davis, Sacramento, California
| | - George Sgouros
- Department of Radiology, Johns Hopkins University, Baltimore, Maryland
| | - Jacek Capala
- Radiation Research Program, Division of Cancer Treatment and Diagnosis, NCI, NIH, Bethesda, Maryland
| | - Ying Xiao
- Hospital of the University of Pennsylvania
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He Y, Rong Y, Chen H, Zhang Z, Qiu J, Zheng L, Benedict S, Niu X, Pan N, Liu Y, Yuan Z. Impact of different b-value combinations on radiomics features of apparent diffusion coefficient in cervical cancer. Acta Radiol 2020; 61:568-576. [PMID: 31466457 DOI: 10.1177/0284185119870157] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Background The impact of variable b-value combinations on apparent diffusion coefficient (ADC)-based radiomics features has not been fully addressed in literature. Purpose To investigate the correlation between radiomics features extracted from ADC maps and various b-value combinations in cervical cancer. Material and Methods Diffusion-weighted images (b-values: 0, 600, 800, and 1000 s/mm2) of 20 patients with cervical cancer were included. Tumors were identified with the largest transversal cross-section and manually segmented by radiologist. For each b-value combination, 92 radiomics features were extracted and coefficient of variance (CV) was used to evaluate the robustness of radiomics features with different b-value combinations. Features with CV > 5% were normalized by the mean feature variation across the group. Results Out of a total of 92 radiomics features, 18 were classified as robust features with CV ≤5%. Among the rest (CV > 5%), 11, 23, and 40 features demonstrated 5%< CV ≤10%, 10%< CV ≤20%, and CV > 20%, respectively. A subset of features in each category (CV > 5%) showed strong correlation with the b-value combination variation, including 44% (7/16) features in gray level co-occurrence matrix, 62% (8/13) features in gray level dependence matrix, 64% (9/14) features in first order, 50% (8/16) features in gray level run length matrix, 57% (8/14) features in gray level size matrix, and 20% (1/5) features in neighborhood gray-tone difference matrix. Conclusions Variations in b-value combinations demonstrated impact on radiomics features extracted from ADC maps for cervical cancer. The radiomics features with CV <5% can be considered as robust features and are recommended to be used in multicenter radiomics studies.
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Affiliation(s)
- Yaoyao He
- Department of Radiology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, PR China
- Medical Engineering and Technology Center, Taishan Medical University, Taian, PR China
| | - Yi Rong
- Department of Radiation Oncology, University of California Davis Medical Center, Sacramento, CA, USA
| | - Hao Chen
- Department of Radiology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, PR China
| | - Zhaoxi Zhang
- Department of Radiology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, PR China
| | - Jianfeng Qiu
- Medical Engineering and Technology Center, Taishan Medical University, Taian, PR China
| | - Lili Zheng
- Department of Radiology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, PR China
| | - Stanley Benedict
- Department of Radiation Oncology, University of California Davis Medical Center, Sacramento, CA, USA
| | - Xiaohui Niu
- College of Informatics, Huazhong Agricultural University, Wuhan, PR China
| | - Ning Pan
- College of Biomedical Engineering, South Central University for Nationalities, Wuhan, PR China
- Hubei Key Laboratory of Medical Information Analysis and Tumor Diagnosis & Treatment, Wuhan, PR China
| | - Yulin Liu
- Department of Radiology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, PR China
| | - Zilong Yuan
- Department of Radiology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, PR China
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Yuan N, Dyer B, Rao S, Chen Q, Benedict S, Shang L, Kang Y, Qi J, Rong Y. Convolutional neural network enhancement of fast-scan low-dose cone-beam CT images for head and neck radiotherapy. Phys Med Biol 2020; 65:035003. [PMID: 31842014 PMCID: PMC8011532 DOI: 10.1088/1361-6560/ab6240] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
To improve image quality and CT number accuracy of fast-scan low-dose cone-beam computed tomography (CBCT) through a deep-learning convolutional neural network (CNN) methodology for head-and-neck (HN) radiotherapy. Fifty-five paired CBCT and CT images from HN patients were retrospectively analysed. Among them, 15 patients underwent adaptive replanning during treatment, thus had same-day CT/CBCT pairs. The remaining 40 patients (post-operative) had paired planning CT and 1st fraction CBCT images with minimal anatomic changes. A 2D U-Net architecture with 27-layers in 5 depths was built for the CNN. CNN training was performed using data from 40 post-operative HN patients with 2080 paired CT/CBCT slices. Validation and test datasets include 5 same-day datasets with 260 slice pairs and 10 same-day datasets with 520 slice pairs, respectively. To examine the impact of differences in training dataset selection and network performance as a function of training data size, additional networks were trained using 30, 40 and 50 datasets. Image quality of enhanced CBCT images were quantitatively compared against the CT image using mean absolute error (MAE) of Hounsfield units (HU), signal-to-noise ratio (SNR) and structural similarity (SSIM). Enhanced CBCT images reduced artifact distortion and improved soft tissue contrast. Networks trained with 40 datasets had imaging performance comparable to those trained with 50 datasets and outperformed those trained with 30 datasets. Comparison of CBCT and enhanced CBCT images demonstrated improvement in average MAE from 172.73 to 49.28 HU, SNR from 8.27 to 14.25 dB, and SSIM from 0.42 to 0.85. The image processing time is 2 s per patient using a NVIDIA GeForce GTX 1080 Ti GPU. The proposed deep-leaning methodology was fast and effective for image quality enhancement of fast-scan low-dose CBCT. This method has potential to support fast online-adaptive re-planning for HN cancer patients.
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Affiliation(s)
- Nimu Yuan
- Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, Liaoning, People's Republic of China
- Department of Biomedical Engineering, University of California, Davis, CA, United States of America
| | - Brandon Dyer
- Department of Radiation Oncology, University of California Davis Medical Center, Sacramento, CA, United States of America
- Department of Radiation Oncology, University of Washington, Seattle, WA, United States of America
| | - Shyam Rao
- Department of Radiation Oncology, University of California Davis Medical Center, Sacramento, CA, United States of America
| | - Quan Chen
- Department of Radiation Medicine, University of Kentucky, Lexington, KY, United States of America
| | - Stanley Benedict
- Department of Radiation Oncology, University of California Davis Medical Center, Sacramento, CA, United States of America
| | - Lu Shang
- Department of Radiation Oncology, University of California Davis Medical Center, Sacramento, CA, United States of America
| | - Yan Kang
- Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, Liaoning, People's Republic of China
| | - Jinyi Qi
- Department of Biomedical Engineering, University of California, Davis, CA, United States of America
| | - Yi Rong
- Department of Radiation Oncology, University of California Davis Medical Center, Sacramento, CA, United States of America
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Shi L, Rong Y, Daly M, Dyer B, Benedict S, Qiu J, Yamamoto T. Cone-beam computed tomography-based delta-radiomics for early response assessment in radiotherapy for locally advanced lung cancer. ACTA ACUST UNITED AC 2020; 65:015009. [DOI: 10.1088/1361-6560/ab3247] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
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Dyer BA, Mayadev JS, Ready J, Dieterich S, Rong Y, Benedict S, Valicenti RK. Clinical and Design Considerations for a Dedicated Image-Guided Brachytherapy Suite. Brachytherapy 2018. [DOI: 10.1016/j.brachy.2018.04.262] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Mayadev J, Klapheke A, Yashar C, Hsu IC, Kamrava M, Mundt AJ, Mell LK, Einck J, Benedict S, Valicenti R, Cress R. Underutilization of brachytherapy and disparities in survival for patients with cervical cancer in California. Gynecol Oncol 2018; 150:73-78. [PMID: 29709291 DOI: 10.1016/j.ygyno.2018.04.563] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2018] [Revised: 04/16/2018] [Accepted: 04/17/2018] [Indexed: 11/19/2022]
Abstract
PURPOSE The treatment for locally advanced cervical cancer is external beam radiation (EBRT), concurrent chemotherapy, and brachytherapy (BT). We investigated demographic and socioeconomic factors that influence trends in BT utilization and disparities in survival. METHODS Using the California Cancer Registry, cervical cancer patients FIGO IB2-IVA from 2004 to 2014 were identified. We collected tumor, demographic and socioeconomic (SES) factors. We used multivariable logistic regression analysis to determine predictors of use of BT. Using Cox proportional hazards, we examined the impact of BT vs EBRT boost on cause specific (CSS) and overall survival (OS). RESULTS We identified 4783 patients with FIGO stage 11% IB2; 32% II, 54% III, 3% IVA. Nearly half (45%) of patients were treated with BT, 18% were treated with a EBRT boost, and 37% had no boost. Stage II and III were more likely to be treated with BT (p = 0.002 and p = 0.0168) vs Stage IB2. As patients aged, the use of BT decreased. Using multivariate analysis, BT impacted CCS (HR 1.16, p = 0.0330) and OS (HR 1.14, p = 0.0333). Worse CSS was observed for black patients (p = 0.0002), low SES (p = 0.0263), stage III and IVA (p < 0.0001. Black patients, low and middle SES had worse OS, (p = 0.0003). CONCLUSIONS The utilization of BT in locally advanced cervical cancer was low at 45%, with a decrease in CSS and OS. Black patients and those in low SES had worse CSS. As we strive for outcome improvement in cervical cancer, we need to target increasing access and disparities for quality and value.
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Affiliation(s)
| | - Amy Klapheke
- California Cancer Registry, Sacramento, CA, United States
| | | | - I-Chow Hsu
- UCSF Medical Center, San Francisco, CA, United States
| | | | | | | | - John Einck
- UC San Diego, San Diego, CA, United States
| | | | | | - Rosemary Cress
- California Cancer Registry, Sacramento, CA, United States
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Shi L, He Y, Yuan Z, Benedict S, Valicenti R, Qiu J, Rong Y. Radiomics for Response and Outcome Assessment for Non-Small Cell Lung Cancer. Technol Cancer Res Treat 2018; 17:1533033818782788. [PMID: 29940810 PMCID: PMC6048673 DOI: 10.1177/1533033818782788] [Citation(s) in RCA: 65] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2017] [Revised: 03/09/2018] [Accepted: 05/16/2018] [Indexed: 12/24/2022] Open
Abstract
Routine follow-up visits and radiographic imaging are required for outcome evaluation and tumor recurrence monitoring. Yet more personalized surveillance is required in order to sufficiently address the nature of heterogeneity in nonsmall cell lung cancer and possible recurrences upon completion of treatment. Radiomics, an emerging noninvasive technology using medical imaging analysis and data mining methodology, has been adopted to the area of cancer diagnostics in recent years. Its potential application in response assessment for cancer treatment has also drawn considerable attention. Radiomics seeks to extract a large amount of valuable information from patients' medical images (both pretreatment and follow-up images) and quantitatively correlate image features with diagnostic and therapeutic outcomes. Radiomics relies on computers to identify and analyze vast amounts of quantitative image features that were previously overlooked, unmanageable, or failed to be identified (and recorded) by human eyes. The research area has been focusing on the predictive accuracy of pretreatment features for outcome and response and the early discovery of signs of tumor response, recurrence, distant metastasis, radiation-induced lung injury, death, and other outcomes, respectively. This review summarized the application of radiomics in response assessments in radiotherapy and chemotherapy for non-small cell lung cancer, including image acquisition/reconstruction, region of interest definition/segmentation, feature extraction, and feature selection and classification. The literature search for references of this article includes PubMed peer-reviewed publications over the last 10 years on the topics of radiomics, textural features, radiotherapy, chemotherapy, lung cancer, and response assessment. Summary tables of radiomics in response assessment and treatment outcome prediction in radiation oncology have been developed based on the comprehensive review of the literature.
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Affiliation(s)
- Liting Shi
- Department of Radiology, Taishan Medical University, Tai’an, China
| | - Yaoyao He
- Department of Radiology, Taishan Medical University, Tai’an, China
| | - Zilong Yuan
- Department of Radiology, Hubei Cancer Hospital, Wuhan, China
| | - Stanley Benedict
- Department of Radiation Oncology, University of California Davis
Comprehensive Cancer Center, Sacramento, CA, USA
| | - Richard Valicenti
- Department of Radiation Oncology, University of California Davis
Comprehensive Cancer Center, Sacramento, CA, USA
| | - Jianfeng Qiu
- Department of Radiology, Taishan Medical University, Tai’an, China
| | - Yi Rong
- Department of Radiation Oncology, University of California Davis
Comprehensive Cancer Center, Sacramento, CA, USA
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Dyer BA, Benedict S, Rong Y, Dieterich S, Valicenti RK, Hunt JP, Montemayor EE, Mayadev JS. Sustainable Gynecological Brachytherapy in an Increasingly Cost-Aware Healthcare System: Conversion of Labor-Intense Interstitial Brachytherapy to Hybrid Intracavitary Brachytherapy for Locally Advanced Cervical Cancer. Brachytherapy 2017. [DOI: 10.1016/j.brachy.2017.04.096] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Hoffman D, Chung E, Hess C, Stern R, Benedict S. Characterization and evaluation of an integrated quality monitoring system for online quality assurance of external beam radiation therapy. J Appl Clin Med Phys 2016; 18:40-48. [PMID: 28291937 PMCID: PMC5689870 DOI: 10.1002/acm2.12014] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2016] [Accepted: 09/10/2016] [Indexed: 11/16/2022] Open
Abstract
Purpose The aim of this work was to comprehensively evaluate a new large field ion chamber transmission detector, Integral Quality Monitor (IQM), for online external photon beam verification and quality assurance. The device is designed to be mounted on the linac accessory tray to measure and verify photon energy, field shape, gantry position, and fluence before and during patient treatment. Methods Our institution evaluated the newly developed ion chamber's effect on photon beam fluence, response to dose, detection of photon fluence modification, and the accuracy of the integrated barometer, thermometer, and inclinometer. The detection of photon fluence modifications was performed by measuring 6 MV with fields of 10 cm × 10 cm and 1 cm × 1 cm “correct” beam, and then altering the beam modifiers to simulate minor and major delivery deviations. The type and magnitude of the deviations selected for evaluation were based on the specifications for photon output and MLC position reported in AAPM Task Group Report 142. Additionally, the change in ion chamber signal caused by a simulated IMRT delivery error is evaluated. Results The device attenuated 6 MV, 10 MV, and 15 MV photon beams by 5.43 ± 0.02%, 4.60 ± 0.02%, and 4.21 ± 0.03%, respectively. Photon beam profiles were altered with the IQM by < 1.5% in the nonpenumbra regions of the beams. The photon beam profile for a 1 cm × 1 cm2 fields were unchanged by the presence of the device. The large area ion chamber measurements were reproducible on the same day with a 0.14% standard deviation and stable over 4 weeks with a 0.47% SD. The ion chamber's dose–response was linear (R2 = 0.99999). The integrated thermometer agreed to a calibrated thermometer to within 1.0 ± 0.7°C. The integrated barometer agreed to a mercury barometer to within 2.3 ± 0.4 mmHg. The integrated inclinometer gantry angle measurement agreed with the spirit level at 0 and 180 degrees within 0.03 ± 0.01 degrees and 0.27 ± 0.03 at 90 and 270 degrees. For the collimator angle measurement, the IQM inclinometer agreed with a plum‐bob within 0.3 ± 0.2 degrees. The simulated IMRT error increased the ion chamber signal by a factor of 11–238 times the baseline measurement for each segment. Conclusions The device signal was dependent on variations in MU delivered, field position, single MLC leaf position, and nominal photon energy for both the 1 cm × 1 cm and 10 cm × 10 cm fields. This detector has demonstrated utility repeated photon beam measurement, including in IMRT and small field applications.
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Affiliation(s)
- David Hoffman
- Department of Radiation Medicine and Applied Sciences, University of California, San Diego, CA, USA
| | - Eunah Chung
- Department of Radiation Oncology, Samsung Medical Center, Seoul, South Korea
| | - Clayton Hess
- Pediatric Radiation Oncology, Harvard Medical School, Boston, MA, USA
| | - Robin Stern
- Department of Radiation Oncology, University of California, Davis, Sacramento, CA, USA
| | - Stanley Benedict
- Department of Radiation Oncology, University of California, Davis, Sacramento, CA, USA
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Michaud AL, Benedict S, Montemayor E, Hunt JP, Wright C, Mathai M, Mayadev JS. Workflow efficiency for the treatment planning process in CT-guided high-dose-rate brachytherapy for cervical cancer. Brachytherapy 2016; 15:578-83. [DOI: 10.1016/j.brachy.2016.06.001] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2016] [Revised: 06/06/2016] [Accepted: 06/09/2016] [Indexed: 11/28/2022]
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Hoffman D, Dyer B, Kumaran Nair C, Katuri Y, Rong Y, Benedict S. SU-F-T-326: Diode Array Transmission Detector Systems Evaluation. Med Phys 2016. [DOI: 10.1118/1.4956511] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Hoffman D, Nair CK, Wright C, Yamamoto T, Mayadev J, Valicenti R, Benedict S, Markham J, Rong Y. SU-F-T-433: Evaluation of a New Dose Mimicking Application for Clinical Flexibility and Reliability. Med Phys 2016. [DOI: 10.1118/1.4956618] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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18
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Hoffman D, Dyer B, Kumaran Nair C, Stern R, Benedict S, Davis UC. SU-F-T-471: Simulated External Beam Delivery Errors Detection with a Large Area Ion Chamber Transmission Detector. Med Phys 2016. [DOI: 10.1118/1.4956656] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Benedict S. MO-E-BRB-00: PANEL DISCUSSION: SBRT/SRS Case Studies - Lung. Med Phys 2016. [DOI: 10.1118/1.4957272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Kumaran Nair C, Hoffman D, Wright C, Yamamoto T, Rao S, Benedict S, Markham J, Rong Y. SU-F-T-346: Dose Mimicking Inverse Planning Based On Helical Delivery Treatment Plans for Head and Neck Patients. Med Phys 2016. [DOI: 10.1118/1.4956531] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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21
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Benedict S. MO-E-BRB-01: Panel Member. Med Phys 2016. [DOI: 10.1118/1.4957261] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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22
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Rong Y, Rao S, Daly M, Wright C, Benedict S, Yamamoto T. SU-F-J-58: Evaluation of RayStation Hybrid Deformable Image Registration for Accurate Contour Propagation in Adaptive Planning. Med Phys 2016. [DOI: 10.1118/1.4955966] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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23
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Benedict S. WE-H-BRB-00: Big Data in Radiation Oncology. Med Phys 2016. [DOI: 10.1118/1.4957988] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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24
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Benedict S. WE-H-BRB-01: Overview of the ASTRO-NIH-AAPM 2015 Workshop On Exploring Opportunities for Radiation Oncology in the Era of Big Data. Med Phys 2016. [DOI: 10.1118/1.4957989] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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25
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Tait LM, Hoffman D, Benedict S, Valicenti R, Mayadev JS. The use of MRI deformable image registration for CT-based brachytherapy in locally advanced cervical cancer. Brachytherapy 2016; 15:333-340. [DOI: 10.1016/j.brachy.2016.01.002] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2015] [Revised: 01/07/2016] [Accepted: 01/18/2016] [Indexed: 11/28/2022]
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26
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Yamamoto T, Kabus S, Bal M, Keall P, Benedict S, Daly M. The first patient treatment of computed tomography ventilation functional image-guided radiotherapy for lung cancer. Radiother Oncol 2016; 118:227-31. [DOI: 10.1016/j.radonc.2015.11.006] [Citation(s) in RCA: 67] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2015] [Revised: 10/27/2015] [Accepted: 11/18/2015] [Indexed: 12/25/2022]
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Hoffman D, Chung E, Hess C, Stern R, Benedict S. SU-E-T-571: Newly Emerging Integrated Transmission Detector Systems Provide Online Quality Assurance of External Beam Radiation Therapy. Med Phys 2015. [DOI: 10.1118/1.4924933] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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28
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Benedict S. MO-FG-210-00: US Guided Systems for Brachytherapy. Med Phys 2015. [DOI: 10.1118/1.4925438] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Benedict S. TU-A-304-03: Quality Assurance, Safety, and Other Practical Aspects of SBRT. Med Phys 2015. [DOI: 10.1118/1.4925498] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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30
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Perks J, Lucero S, Benedict S. SU-E-T-124: Anthropomorphic Phantoms for Confirmation of Linear Accelerator Based Small Animal Irradiation. Med Phys 2015. [DOI: 10.1118/1.4924485] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Chung E, Rioux A, Benedict S, Yamamoto T. SU-E-J-194: Continuous Patient Surface Monitoring and Motion Analysis During Lung SBRT. Med Phys 2015. [DOI: 10.1118/1.4924280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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32
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Cai J, Wijesooriya K, Benedict S. MO-C-BRD-01: SBRT I: Overview of Simulation, Planning, and Delivery. Med Phys 2014. [DOI: 10.1118/1.4889122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Hahn S, Jaffray D, Chetty I, Benedict S. MO-E-BRF-01: Research Opportunities in Technology for Innovation in Radiation Oncology (Highlight of ASTRO NCI 2013 Workshop). Med Phys 2014. [DOI: 10.1118/1.4889152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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34
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Mayadev J, Qi L, Lentz S, Benedict S, Courquin J, Dieterich S, Mathai M, Stern R, Valicenti R. Implant time and process efficiency for CT-guided high-dose-rate brachytherapy for cervical cancer. Brachytherapy 2014; 13:233-9. [DOI: 10.1016/j.brachy.2014.01.004] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2013] [Revised: 01/07/2014] [Accepted: 01/15/2014] [Indexed: 11/17/2022]
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Ries AV, Blackman LT, Page RA, Gizlice Z, Benedict S, Barnes K, Kelsey K, Carter-Edwards L. Goal setting for health behavior change: evidence from an obesity intervention for rural low-income women. Rural Remote Health 2014; 14:2682. [PMID: 24785265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/03/2023] Open
Abstract
INTRODUCTION Rural, minority populations are disproportionately affected by overweight and obesity and may benefit from lifestyle modification programs that are tailored to meet their unique needs. Obesity interventions commonly use goal setting as a behavior change strategy; however, few have investigated the specific contribution of goal setting to behavior change and/or identified the mechanisms by which goal setting may have an impact on behavior change. Furthermore, studies have not examined goal setting processes among racial/ethnic minorities. Using data from an obesity intervention for predominately minority women in rural North Carolina, this study sought to examine whether intervention participation resulted in working on goals and using goal setting strategies which in turn affected health behavior outcomes. It also examined racial/ethnic group differences in working on goals and use of goal setting strategies. METHODS Data came from a community-based participatory research project to address obesity among low-income, predominately minority women in rural North Carolina. A quasi-experimental intervention design was used. Participants included 485 women aged 18 years and over. Intervention participants (n=208) received health information and goal setting support through group meetings and tailored newsletters. Comparison participants (n = 277) received newsletters on topics unrelated to obesity. Surveys assessed physical activity, fruit and vegetable intake, goal-related stage of change, and use of goal setting strategies. Chi squared statistics were used to assess intervention group differences in changes in goal-related stage of change and use of goal setting strategies as well as racial/ethnic group differences in stage of change and use of goal setting strategies at baseline. The causal steps approach of Baron and Kenny was used to assess mediation. RESULTS Intervention compared to comparison participants were more likely to move from contemplation to action/maintenance for the goals of improving diet (58% intervention, 44% comparison, p= 0.04) and physical activity (56% intervention, 31% comparison, p ≤ 0.0001). Intervention group differences were not found for moving from precontemplation to a higher category. At baseline, black compared to white participants were more likely to be working on the goals of getting a better education (p < 0.0001), owning a home (p < 0.01), starting a business (p < 0.0001), and improving job skills (p <0.05). For whites only, intervention participants were more likely than comparison participants to move from contemplation to action/maintenance for the goal of improving diet ( p< 0.05). For both blacks (p < 0.05) and whites (p < 0.0001), intervention participants were more likely than comparison participants to move from contemplation to action/maintenance for the goal of increasing physical activity. For all participants, progression in stages of change mediated the intervention effect on physical activity, but not fruit and vegetable intake. The intervention did not reveal an impact on use of goal setting strategies. CONCLUSIONS In this sample of low-income, rural women, the intervention's goal setting component influenced behavior change for participants who were contemplating lifestyle changes at baseline. Racial/ethnic group differences in goal setting indicate the need to gain greater understanding of individual, social, and environmental factors that may uniquely have an impact on goal setting, and the importance of tailoring obesity intervention strategies for optimal, sustainable behavior change.
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Affiliation(s)
- A V Ries
- 4 Mount Bolus Road, Chapel Hill, NC 27514.
| | - L T Blackman
- 2224 McGavran-Greenberg Hall, Chapel Hill, NC 27599-7461.
| | - R A Page
- 1700 Martin Luther King Jr. Blvd., Campus Box #7426, Chapel Hill, NC 27599-7426.
| | - Z Gizlice
- 1700 Martin Luther King Jr. Blvd., Campus Box #7426, Chapel Hill, NC 27599-7426.
| | - S Benedict
- 302 Waterside Drive, Carrboro, NC 27510.
| | - K Barnes
- 1700 Martin Luther King Jr. Blvd., Campus Box #7426, Chapel Hill, NC 27599-7426.
| | - K Kelsey
- 2224 McGavran-Greenberg Hall, Chapel Hill, NC 27599-7461.
| | - L Carter-Edwards
- 1700 Martin Luther King Jr. Blvd., Campus Box #7426, Chapel Hill, NC 27599-7426.
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Schlesinger D, Benedict S, Diederich C, Gedroyc W, Klibanov A, Larner J. MR-guided focused ultrasound surgery, present and future. Med Phys 2014; 40:080901. [PMID: 23927296 DOI: 10.1118/1.4811136] [Citation(s) in RCA: 81] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
MR-guided focused ultrasound surgery (MRgFUS) is a quickly developing technology with potential applications across a spectrum of indications traditionally within the domain of radiation oncology. Especially for applications where focal treatment is the preferred technique (for example, radiosurgery), MRgFUS has the potential to be a disruptive technology that could shift traditional patterns of care. While currently cleared in the United States for the noninvasive treatment of uterine fibroids and bone metastases, a wide range of clinical trials are currently underway, and the number of publications describing advances in MRgFUS is increasing. However, for MRgFUS to make the transition from a research curiosity to a clinical standard of care, a variety of challenges, technical, financial, clinical, and practical, must be overcome. This installment of the Vision 20∕20 series examines the current status of MRgFUS, focusing on the hurdles the technology faces before it can cross over from a research technique to a standard fixture in the clinic. It then reviews current and near-term technical developments which may overcome these hurdles and allow MRgFUS to break through into clinical practice.
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Affiliation(s)
- David Schlesinger
- Department of Radiation Oncology, University of Virginia, Charlottesville, Virginia 22908, USA.
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Chen AM, Daly ME, Cui J, Mathai M, Benedict S, Purdy JA. Clinical outcomes among patients with head and neck cancer treated by intensity-modulated radiotherapy with and without adaptive replanning. Head Neck 2014; 36:1541-6. [DOI: 10.1002/hed.23477] [Citation(s) in RCA: 82] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2013] [Revised: 06/12/2013] [Accepted: 08/23/2013] [Indexed: 11/09/2022] Open
Affiliation(s)
- Allen M. Chen
- Department of Radiation Oncology; University of California Davis Comprehensive Cancer Center; Sacramento California
| | - Megan E. Daly
- Department of Radiation Oncology; University of California Davis Comprehensive Cancer Center; Sacramento California
| | - Jing Cui
- Department of Radiation Oncology; University of California Davis Comprehensive Cancer Center; Sacramento California
| | - Mathew Mathai
- Department of Radiation Oncology; University of California Davis Comprehensive Cancer Center; Sacramento California
| | - Stanley Benedict
- Department of Radiation Oncology; University of California Davis Comprehensive Cancer Center; Sacramento California
| | - James A. Purdy
- Department of Radiation Oncology; University of California Davis Comprehensive Cancer Center; Sacramento California
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Shilton C, Brown GP, Chambers L, Benedict S, Davis S, Aumann S, Isberg SR. Pathology of Runting in Farmed Saltwater Crocodiles (Crocodylus porosus) in Australia. Vet Pathol 2014; 51:1022-34. [DOI: 10.1177/0300985813516642] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Extremely poor growth of some individuals within a birth cohort (runting) is a significant problem in crocodile farming. We conducted a pathological investigation to determine if infectious disease is associated with runting in farmed saltwater crocodiles ( Crocodylus porosus) and to look for evidence of other etiologies. In each of 2005 and 2007, 10 normal and 10 runt crocodiles, with an average age of 5.5 months and reared under identical conditions, were sampled. Laboratory testing included postmortem; histological examination of a wide variety of tissues (with quantitation of features that were noted subjectively to be different between groups); hematology; serum biochemistry (total protein, albumin, globulins, total calcium, phosphorus, and iron); bacterial culture of liver and spleen (2005 only); viral culture of liver, thymus, tonsil, and spleen using primary crocodile cell lines (2007 only); and serum corticosterone (2007 only). The only evidence of infectious disease was mild cutaneous poxvirus infection in 45% of normal and 40% of runt crocodiles and rare intestinal coccidia in 5% of normal and 15% of runt crocodiles. Bacterial and viral culture did not reveal significant differences between the 2 groups. However, runt crocodiles exhibited significant ( P < .05) increases in adrenocortical cell cytoplasmic vacuolation and serum corticosterone, decreased production of bone (osteoporosis), and reduced lymphoid populations in the spleen, tonsil, and thymus. Runts also exhibited moderate anemia, hypoalbuminemia, and mild hypophosphatemia. Taken together, these findings suggest an association between runting and a chronic stress response (hyperactivity of the hypothalamic-pituitary-adrenal axis).
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Affiliation(s)
- C. Shilton
- Berrimah Veterinary Laboratories, Department of Primary Industry and Fisheries, Northern Territory Government, Berrimah, Northern Territory, Australia
| | - G. P. Brown
- The University of Sydney, Sydney, New South Wales, Australia
| | - L. Chambers
- Berrimah Veterinary Laboratories, Department of Primary Industry and Fisheries, Northern Territory Government, Berrimah, Northern Territory, Australia
| | - S. Benedict
- Berrimah Veterinary Laboratories, Department of Primary Industry and Fisheries, Northern Territory Government, Berrimah, Northern Territory, Australia
| | - S. Davis
- Berrimah Veterinary Laboratories, Department of Primary Industry and Fisheries, Northern Territory Government, Berrimah, Northern Territory, Australia
| | - S. Aumann
- Berrimah Veterinary Laboratories, Department of Primary Industry and Fisheries, Northern Territory Government, Berrimah, Northern Territory, Australia
| | - S. R. Isberg
- The University of Sydney, Sydney, New South Wales, Australia
- Porosus Pty. Ltd., Noonamah, Northern Territory, Australia
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Aliotta E, Read P, Benedict S, Larner J, Wijesooriya K. SU-C-108-05: A Novel Technique to Evaluate 4D Dose Delivery to a Moving Tumor. Med Phys 2013. [DOI: 10.1118/1.4813943] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Wijesooriya K, Griffin C, Pan T, Read P, Benedict S, Larner J. SU-E-J-158: A Phantom Study Based Simulation to Quantify the Motion and Tumor Volume Affected 18F-FDG PET Uptake Distribution Within the Tumor. Med Phys 2013. [DOI: 10.1118/1.4814370] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Cui J, Liu C, Meng L, Benedict S. SU-E-T-128: A Comprehensive Dosimetric Characterization of the New 160 Leaf Elekta Agility Collimator System. Med Phys 2013. [DOI: 10.1118/1.4814563] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Benedict S, Vedam S, Cai J, Wijesooriya K, Murphy M. TU-C-500-01: Evaluating Benefits and Challenges of Multi-Modality Co-Registration. Med Phys 2013. [DOI: 10.1118/1.4815362] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Yin F, Benedict S, Bradley J, Cai J, Wijesooriya K. WE-A-500-01: Quality Control of Lung SBRT: Minimizing Uncertainties From Simulation to Treatment. Med Phys 2013. [DOI: 10.1118/1.4815490] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Karrar S, Shiwen X, Nikotorowicz-Buniak J, Abraham DJ, Denton C, Stratton R, Bayley R, Kite KA, Clay E, Smith JP, Kitas GD, Buckley C, Young SP, Ye L, Zhang L, Goodall J, Gaston H, Xu H, Lutalo PM, Zhao Y, Meng Choong L, Sangle S, Spencer J, D'Cruz D, Rysnik OJ, McHugh K, Bowness P, Rump-Goodrich L, Mattey D, Kehoe O, Middleton J, Cartwright A, Schmutz C, Askari A, Middleton J, Gardner DH, Jeffery LE, Raza K, Sansom DM, Clay E, Bayley R, Fitzpatrick M, Wallace G, Young S, Shaw J, Hatano H, Cauli A, Giles JL, McHugh K, Mathieu A, Bowness P, Kollnberger S, Webster S, Ellis L, O'Brien LM, Fitzmaurice TJ, Gaston H, Goodall J, Nazeer Moideen A, Evans L, Osgood L, Williams A, Jones S, Thomas C, O'Donnell V, Nowell M, Ouboussad L, Savic S, Dickie LJ, Hintze J, Wong CH, Cook GP, Buch M, Emery P, McDermott MF, Hardcastle SA, Gregson CL, Deere K, Davey Smith G, Dieppe P, Tobias JH, Dennison E, Edwards M, Bennett J, Coggon D, Palmer K, Cooper C, McWilliams D, Young A, Kiely PD, Walsh D, Taylor HJ, Harding I, Hutchinson J, Nelson I, Blom A, Tobias J, Clark E, Parker J, Bukhari M, McWilliams D, Jayakumar K, Young A, Kiely P, Walsh D, Diffin J, Lunt M, Marshall T, Chipping J, Symmons D, Verstappen S, Taylor HJ, Harding I, Hutchinson J, Nelson I, Tobias J, Clark E, Bluett J, Bowes J, Ho P, McHugh N, Buden D, Fitzgerald O, Barton A, Glossop JR, Nixon NB, Emes RD, Dawes PT, Farrell WE, Mattey DL, Scott IC, Steer S, Seegobin S, Hinks AM, Eyre S, Morgan A, Wilson AG, Hocking L, Wordsworth P, Barton A, Worthington J, Cope A, Lewis CM, Guerra S, Ahmed BA, Denton C, Abraham D, Fonseca C, Robinson J, Taylor J, Haroon Rashid L, Flynn E, Eyre S, Worthington J, Barton A, Isaacs J, Bowes J, Wilson AG, Barrett JH, Morgan A, Kingston B, Ahmed M, Kirwan JR, Marshall R, Chapman K, Pearson R, Heycock C, Kelly C, Rynne M, Saravanan V, Hamilton J, Saeed A, Coughlan R, Carey JJ, Farah Z, Matthews W, Bell C, Petford S, Tibbetts LM, Douglas KMJ, Holden W, Ledingham J, Fletcher M, Winfield R, Price Z, Mackay K, Dixon C, Oppong R, Jowett S, Nicholls E, Whitehurst D, Hill S, Hammond A, Hay E, Dziedzic K, Righetti C, Lebmeier M, Manning VL, Hurley M, Scott DL, Choy E, Bearne L, Nikiphorou E, Morris S, James D, Kiely P, Walsh D, Young A, Wong EC, Long J, Fletcher A, Fletcher M, Holmes S, Hockey P, Abbas M, Chattopadhyay C, Flint J, Gayed M, Schreiber K, Arthanari S, Nisar M, Khamashta M, Gordon C, Giles I, Robson J, Kiran A, Maskell J, Arden N, Hutchings A, Emin A, Culliford D, Dasgupta B, Hamilton W, Luqmani R, Jethwa H, Rowczenio D, Trojer H, Russell T, Loeffler J, Hawkins P, Lachmann H, Verma I, Syngle A, Krishan P, Garg N, Flint J, Gayed M, Schreiber K, Arthanari S, Nisar M, Khamashta M, Gordon C, Giles I, McGowan SP, Gerrard DT, Chinoy H, Ollier WE, Cooper RG, Lamb JA, Taborda L, Correia Azevedo P, Isenberg D, Leyland KM, Kiran A, Judge A, Hunter D, Hart D, Javaid MK, Arden N, Cooper C, Edwards MH, Litwic AE, Jameson KA, Deeg D, Cooper C, Dennison E, Edwards MH, Jameson KA, Cushnaghan J, Aihie Sayer A, Deeg D, Cooper C, Dennison E, Jagannath D, Parsons C, Cushnaghan J, Cooper C, Edwards MH, Dennison E, Stoppiello L, Mapp P, Ashraf S, Wilson D, Hill R, Scammell B, Walsh D, Wenham C, Shore P, Hodgson R, Grainger A, Aaron J, Hordon L, Conaghan P, Bar-Ziv Y, Beer Y, Ran Y, Benedict S, Halperin N, Drexler M, Mor A, Segal G, Lahad A, Haim A, Rath U, Morgensteren DM, Salai M, Elbaz A, Vasishta VG, Derrett-Smith E, Hoyles R, Khan K, Abraham DJ, Denton C, Ezeonyeji A, Takhar G, Denton C, Ong V, Loughrey L, Bissell LA, Hensor E, Abignano G, Redmond A, Buch M, Del Galdo F, Hall FC, Malaviya A, Nisar M, Baker S, Furlong A, Mitchell A, Godfrey AL, Ruddlesden M, Hadjinicolaou A, Hughes M, Moore T, O'Leary N, Tracey A, Ennis H, Dinsdale G, Roberts C, Herrick A, Denton CP, Guillevin L, Hunsche E, Rosenberg D, Schwierin B, Scott M, Krieg T, Anderson M, Hall FC, Herrick A, McHugh N, Matucci-Cerinic M, Alade R, Khan K, Xu S, Denton C, Ong V, Nihtyanova S, Ong V, Denton CP, Clark KE, Tam FWK, Unwin R, Khan K, Abraham DJ, Denton C, Stratton RJ, Nihtyanova S, Schreiber B, Ong V, Denton CP, Seng Edwin Lim C, Dasgupta B, Corsiero E, Sutcliffe N, Wardemann H, Pitzalis C, Bombardieri M, Tahir H, Donnelly S, Greenwood M, Smith TO, Easton V, Bacon H, Jerman E, Armon K, Poland F, Macgregor A, van der Heijde D, Sieper J, Elewaut D, Pangan AL, Nguyen D, Badenhorst C, Kirby S, White D, Harrison A, Garcia JA, Stebbings S, MacKay JW, Aboelmagd S, Gaffney K, van der Heijde D, Deodhar A, Braun J, Mack M, Hsu B, Gathany T, Han C, Inman RD, Cooper-Moss N, Packham J, Strauss V, Freeston JE, Coates L, Nam J, Moverley AR, Helliwell P, Hensor E, Wakefield R, Emery P, Conaghan P, Mease P, Fleischmann R, Wollenhaupt J, Deodhar A, Kielar D, Woltering F, Stach C, Hoepken B, Arledge T, van der Heijde D, Gladman D, Fleischmann R, Coteur G, Woltering F, Mease P, Kavanaugh A, Gladman D, van der Heijde D, Purcaru O, Mease P, McInnes I, Kavanaugh A, Gottlieb AB, Puig L, Rahman P, Ritchlin C, Li S, Wang Y, Mendelsohn A, Doyle M, Tillett W, Jadon D, Shaddick G, Cavill C, Robinson G, Sengupta R, Korendowych E, de Vries C, McHugh N, Thomas RC, Shuto T, Busquets-Perez N, Marzo-Ortega H, McGonagle D, Tillett W, Richards G, Cavill C, Sengupta R, Shuto T, Marzo-Ortega H, Thomas RC, Bingham S, Coates L, Emery P, John Hamlin P, Adshead R, Cambridge S, Donnelly S, Tahir H, Suppiah P, Cullinan M, Nolan A, Thompson WM, Stebbings S, Mathieson HR, Mackie SL, Bryer D, Buch M, Emery P, Marzo-Ortega H, Krutikov M, Gray L, Bruce E, Ho P, Marzo-Ortega H, Busquets-Perez N, Thomas RC, Gaffney K, Keat A, Innes W, Pandit R, Kay L, Lapshina S, Myasoutova L, Erdes S, Wallis D, Waldron N, McHugh N, Korendowych E, Thorne I, Harris C, Keat A, Garg N, Syngle A, Vohra K, Khinchi D, Verma I, Kaur L, Jones A, Harrison N, Harris D, Jones T, Rees J, Bennett A, Fazal S, Tugnet N, Barkham N, Basu N, McClean A, Harper L, Amft EN, Dhaun N, Luqmani RA, Little MA, Jayne DR, Flossmann O, McLaren J, Kumar V, Reid DM, Macfarlane GJ, Jones G, Yates M, Watts RA, Igali L, Mukhtyar C, Macgregor A, Robson J, Doll H, Yew S, Flossmann O, Suppiah R, Harper L, Hoglund P, Jayne D, Mukhtyar C, Westman K, Luqmani R, Win Maw W, Patil P, Williams M, Adizie T, Christidis D, Borg F, Dasgupta B, Robertson A, Croft AP, Smith S, Carr S, Youssouf S, Salama A, Pusey C, Harper L, Morgan M. Basic Science * 208. Stem Cell Factor Expression is Increased in the Skin of Patients with Systemic Sclerosis and Promotes Proliferation and Migration of Fibroblasts in vitro. Rheumatology (Oxford) 2013. [DOI: 10.1093/rheumatology/ket195] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
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Ding K, Cao K, Du K, Chen Q, Ennis D, Christensen G, Reinhardt J, Libby B, Benedict S, Sheng K. Ventilation Imaging for Lung Radiation Therapy Planning: Free Breathing 4DCT Versus Breath-hold MRI. Int J Radiat Oncol Biol Phys 2012. [DOI: 10.1016/j.ijrobp.2012.07.2173] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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Wijesooriya K, Peng P, Read P, Pan T, Goode A, Judy P, Benedict S, Larner J. Novel Findings on 18F-FDG PET Uptake Distributions Within NSCLC Tumors. Int J Radiat Oncol Biol Phys 2012. [DOI: 10.1016/j.ijrobp.2012.07.2325] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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Ding K, Deng J, Du K, Cao K, Christensen G, Reinhardt J, Sheng K, Libby B, Benedict S, Lamer J, Chen Q. SU-D-BRB-05: Small Animal Lung Compliance Imaging: Assessment System for Tissue Sensitivity to Radiation Induced Lung Injury. Med Phys 2012; 39:3615. [PMID: 28517399 DOI: 10.1118/1.4734677] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
PURPOSE Recent clinical trials and animal studies have indicated that the tissue sensitivity to radiation induced lung injury (RILI) may be region- specific. In this study, we propose a new 4D cone beam CT (CBCT) basedcompliance imaging method to measure regional pulmonary function change in precisely irradiated small animal under CBCT guidance on small animal radiation research platform (SARRP) to facilitate our understanding of region-specific tissue sensitivity to RILI. METHODS Four Sprague-Dawley rats underwent prospective pressure gated 4D CBCT on SARRP. Three animals were selected as control group which underwent a second 4D CBCT scan. The fourth animal was irradiated in the central lung (24 Gy) using 3 × 3 mm collimating cone 2 months prior to the scan. The specific compliance (Csp) was calculated via the real time pressure measurement from the ventilator and displacement field from 3D B-spline image registration between the end of inhale and end of exhale phases from the 4D CBCT scan. The 3D Csp maps from the control animal group were mapped to the irradiated animal as a Csp functional atlas for statistical analysis. We alsoevaluated the repeatability of the Csp measurement on a voxel-by-voxel basis. RESULTS No significant Csp difference is found after two month of radiation between the irradiated rat (0.22±0.05) and the functional atlas (0.21±0.07). The observation is consistent with previous publications. The averaged linear correlation coefficient between the voxel-by-voxel Csp measurements from initial and repeat scans in control group is 0.98. CONCLUSIONS We proposed a method that uses 4D CBCT based compliance imaging to measure region-specific tissue sensitivity of RILI. We compared the irradiated animal two months after radiation with the control group. Our study shows an excellent robustness of the proposed method for regional lung tissue specific compliance measurement. This work was supported in part by UVa George Amorino Pilot Grant.
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Affiliation(s)
- K Ding
- University of Virginia, Charlottesville, VA.,University of Iowa, Iowa City, IA.,UCLA School of Medicine, Los Angeles, CA
| | - J Deng
- University of Virginia, Charlottesville, VA.,University of Iowa, Iowa City, IA.,UCLA School of Medicine, Los Angeles, CA
| | - K Du
- University of Virginia, Charlottesville, VA.,University of Iowa, Iowa City, IA.,UCLA School of Medicine, Los Angeles, CA
| | - K Cao
- University of Virginia, Charlottesville, VA.,University of Iowa, Iowa City, IA.,UCLA School of Medicine, Los Angeles, CA
| | - G Christensen
- University of Virginia, Charlottesville, VA.,University of Iowa, Iowa City, IA.,UCLA School of Medicine, Los Angeles, CA
| | - J Reinhardt
- University of Virginia, Charlottesville, VA.,University of Iowa, Iowa City, IA.,UCLA School of Medicine, Los Angeles, CA
| | - K Sheng
- University of Virginia, Charlottesville, VA.,University of Iowa, Iowa City, IA.,UCLA School of Medicine, Los Angeles, CA
| | - B Libby
- University of Virginia, Charlottesville, VA.,University of Iowa, Iowa City, IA.,UCLA School of Medicine, Los Angeles, CA
| | - S Benedict
- University of Virginia, Charlottesville, VA.,University of Iowa, Iowa City, IA.,UCLA School of Medicine, Los Angeles, CA
| | - J Lamer
- University of Virginia, Charlottesville, VA.,University of Iowa, Iowa City, IA.,UCLA School of Medicine, Los Angeles, CA
| | - Q Chen
- University of Virginia, Charlottesville, VA.,University of Iowa, Iowa City, IA.,UCLA School of Medicine, Los Angeles, CA
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Chen Q, Levinson L, Ding K, Read P, Benedict S. SU-E-T-23: TomoTherapy Patient QA Using Exit Detector Measurement of Pre-Treatment In-Air Delivery. Med Phys 2012; 39:3707. [DOI: 10.1118/1.4735078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Qi Z, Chen Q, Ding K, Benedict S, Lernen L, Chen G. WE-A-217A-11: Fast and Low-Dose 4DCBCT for Small Animal Lung Ventilation Study. Med Phys 2012. [DOI: 10.1118/1.4736069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Perks J, Benedict S. MO-F-BRCD-02: SBRT (Part 2): Physics and Quality Assurance Updates. Med Phys 2012; 39:3873. [PMID: 28518227 DOI: 10.1118/1.4735813] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
The technical advantage of stereotactic body radiation therapy (SBRT) is based upon the ability to deliver a hypofractionated course of heterogeneous dose to a well-defined volume with a rapid fall-off of dose outside the treatment volume. The overall goal is to deliver an ablative dose to the target while minimizing the effects of radiation on the surrounding normal tissue. The major advantage of SBRT is the greater biologically effective dose to the target than that permitted by less conformal, fractionated techniques. In this presentation the established recommendations for quality assurance and safety of SBRT from ACR, ASTRO, and AAPM will be reviewed. The recommendations include establishing an SBRT clinic, equipment and imaging considerations, overview of staffing and personnel qualifications, treatment planning considerations, training, acceptance and commissioning practices, and use of safety checklists. Additionally, a Failure Mode and Effect Analysis (FMEA) for Stereotactic Body Radiation Therapy Delivery is presented. References: 1. Timothy D. Solberg PhD, James M. Balter PhD, Stanley H. Benedict PhD, Benedick A. Fraass PhD, Brian Kavanagh MD, Curtis Miyamoto MD, Todd Pawlicki PhD, Louis Potters MD, Yoshiya Yamada MD, "Quality and safety considerations in stereotactic radiosurgery and stereotactic body radiation therapy" Practical Radiation Oncology (2011)2. Benedict SH, Yenice KM, Followill D, et al., "Stereotactic Body Radiation Therapy: The Report of AAPM Task Group 101" Med Phys. 2010;37:4078- 41013. Potters L, Kavanagh B, Galvin JM, et al. American Society for Therapeutic Radiology and Oncology (ASTRO) and American College of Radiology (ACR) practice guideline for the performance of stereotactic body radiation therapy. Int J Radiat Oncol Biol Phys. 2010;76:326-3324. Julian R. Perks PhD, Sinisa Stanic MD, Robin L Stern PhD, Barbara Henk RN MSN, Marsha S Nelson RN MBA, Rick D Harse RTT, Mathew Mathai BS CMD, James A Purdy PhD, Richard K Valicenti MD MA, Allan D Siefkin MD and Allen M Chen MD, "Failure Mode and Effect Analysis for Stereotactic Body Radiation Therapy Delivery" Int J Radiat Oncol Biol Phys. 2012 (in press) Learning Objectives: 1. Review and understand the ASTRO Recommendations for QA and Safety with SBRT 2. Review and understand the AAPM Task Group Recommendations for SBRT 3. Review and understand a FEMA Analysis of SBRT.
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Affiliation(s)
- J Perks
- UC Davis Medical Center, Sacramento, CA.,University of Virginia Health Systems, Charlottesville, VA
| | - S Benedict
- UC Davis Medical Center, Sacramento, CA.,University of Virginia Health Systems, Charlottesville, VA
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