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Zoller G, Hahn H, Di Girolamo N. Technological Advances in Diagnostic Imaging in Exotic Pet Medicine. Vet Clin North Am Exot Anim Pract 2019; 22:397-417. [PMID: 31395322 DOI: 10.1016/j.cvex.2019.05.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Diagnostic imaging relies on interpretation of interactions between the body tissue and various energies, such as x-rays, ultrasound, and magnetic or nuclear energies, to differentiate normal from abnormal tissues. Major technological improvements regarding emission and detection of the energetic waves, as well as reconstruction and interpretation of the images, have occurred. These advances made possible visualization of smaller structures, quantitative evaluation of functional processes, and development of unique imaging-guided procedures. This article reviews the technological advances that allowed development of cone beam computed tomography, dual-energy x-ray absorptiometry, and contrast-enhanced ultrasonography, which all could have applications in exotic pet medicine.
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Affiliation(s)
- Graham Zoller
- Exotic Pet Department, Centre Hospitalier Vétérinaire Frégis, 43 Avenue Aristide Briand, Arcueil 94110, France.
| | - Harriet Hahn
- Diagnostic Imaging Department, Centre Hospitalier Vétérinaire Frégis, 43 Avenue Aristide Briand, Arcueil 94110, France
| | - Nicola Di Girolamo
- Tai Wai Small Animal and Exotic Hospital, 69-75 Chik Shun Street, Tai Wai, Sha Tin, New Territories, Hong Kong
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Lincoln JD, Parsons D, Clarke SE, Cwajna S, Robar JL. Technical Note: Evaluation of kV CBCT enhancement using a liver-specific contrast agent for stereotactic body radiation therapy image guidance. Med Phys 2019; 46:1175-1181. [PMID: 30624784 DOI: 10.1002/mp.13384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2018] [Revised: 01/02/2019] [Accepted: 01/03/2019] [Indexed: 11/09/2022] Open
Abstract
PURPOSE To evaluate possible use for cone-beam computed tomography (CBCT) guidance, this phantom study evaluated the contrast enhancement provided by Gadoxetate Disodium (Primovist® CAN/EU, or Eovist® USA, Bayer Healthcare, Leverkusen, Germany), a contrast agent that is taken up selectively by liver cells and is retained for up to an hour. Image quality from CBCT was benchmarked against helical fan-beam computed tomography for two phantom geometries. METHODS AND MATERIALS Concentrations were diluted to 0.0125-0.1 mmol per kilogram of body weight (mmol/kg) corresponding to expected physiological concentrations in the liver. Kilovoltage CBCT imaging parameters of x-ray tube potential, current, and filtration were investigated using clinically available options on a TrueBeam STx linear accelerator CBCT platform. Two phantoms were created, a cylindrical idealized imaging geometry and an ellipsoidal more realistic abdominal geometry. All parameters were optimized according to the contrast-to-noise ratio (CNR) image quality metric, as a function of concentration, following the Rose criterion for CNR. RESULTS Acceptable CNR was defined as greater than or equal to three, in accordance with the Rose criterion for CNR. These were found in a range of expected liver concentrations of 0.025-0.1 mmol/kg for a tube potential of 100 kVp, half-fan bowtie filtration and tube currents giving exposures between 2025 and 5085 mAs. Linear correlations were found for all CNR as a function of concentration, in agreement with the literature. CONCLUSION Based on this phantom study, with appropriate selection of imaging protocol, Gadoxetate Disodium may provide useful liver CBCT enhancement at physiologically achievable liver concentrations.
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Affiliation(s)
- John D Lincoln
- Department of Physics and Atmospheric Science, Dalhousie University, Halifax, B3H 4R2, Canada
| | - David Parsons
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA
| | - Sharon E Clarke
- Department of Physics and Atmospheric Science, Dalhousie University, Halifax, B3H 4R2, Canada.,Department of Diagnostic Radiology, Dalhousie University, Halifax, B3H 4R2, Canada.,Nova Scotia Health Authority, Halifax, B3H 1V8, Canada
| | - Slawa Cwajna
- Department of Radiation Oncology, Dalhousie University, Halifax, B3H 4R2, Canada.,Nova Scotia Health Authority, Halifax, B3H 1V8, Canada
| | - James L Robar
- Department of Physics and Atmospheric Science, Dalhousie University, Halifax, B3H 4R2, Canada.,Department of Radiation Oncology, Dalhousie University, Halifax, B3H 4R2, Canada.,Nova Scotia Health Authority, Halifax, B3H 1V8, Canada
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Men K, Dai J. A comprehensive evaluation of angular range and separation on image quality, image registration, and imaging dose for cone beam computed tomography in radiotherapy. Med Dosim 2019; 44:67-73. [DOI: 10.1016/j.meddos.2018.02.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2017] [Revised: 01/16/2018] [Accepted: 02/12/2018] [Indexed: 12/31/2022]
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Jurkovic IA, Kocak-Uzel E, Mohamed ASR, Lavdas E, Stathakis S, Papanikolaou N, Fuller DC, Mavroidis P. Dosimetric and Radiobiological Evaluation of Patient Setup Accuracy in Head-and-neck Radiotherapy Using Daily Computed Tomography-on-rails-based Corrections. J Med Phys 2018; 43:28-40. [PMID: 29628631 PMCID: PMC5879821 DOI: 10.4103/jmp.jmp_113_17] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
Introduction: This study evaluates treatment plans aiming at determining the expected impact of daily patient setup corrections on the delivered dose distribution and plan parameters in head-and-neck radiotherapy. Materials and Methods: In this study, 10 head-and-neck cancer patients are evaluated. For the evaluation of daily changes of the patient internal anatomy, image-guided radiation therapy based on computed tomography (CT)-on-rails was used. The daily-acquired CT-on-rails images were deformedly registered to the CT scan that was used during treatment planning. Two approaches were used during data analysis (“cascade” and “one-to-all”). The dosimetric and radiobiological differences of the dose distributions with and without patient setup correction were calculated. The evaluation is performed using dose–volume histograms; the biologically effective uniform dose () and the complication-free tumor control probability (P+) were also calculated. The dose–response curves of each target and organ at risk (OAR), as well as the corresponding P+ curves, were calculated. Results: The average difference for the “one-to-all” case is 0.6 ± 1.8 Gy and for the “cascade” case is 0.5 ± 1.8 Gy. The value of P+ was lowest for the cascade case (in 80% of the patients). Discussion: Overall, the lowest PI is observed in the one-to-all cases. Dosimetrically, CT-on-rails data are not worse or better than the planned data. Conclusions: The differences between the evaluated “one-to-all” and “cascade” dose distributions were small. Although the differences of those doses against the “planned” dose distributions were small for the majority of the patients, they were large for given patients at risk and OAR.
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Affiliation(s)
- Ines-Ana Jurkovic
- Department of Radiation Oncology, University of Texas Health Sciences Center at San Antonio, San Antonio, TX, USA
| | - Esengul Kocak-Uzel
- Department of Radiation Oncology, Istanbul Medipol University, Istanbul, Turkey
| | | | - Eleftherios Lavdas
- Department of Medical Radiological Technologists, Technological Education Institute of Athens, Greece
| | - Sotirios Stathakis
- Department of Radiation Oncology, University of Texas Health Sciences Center at San Antonio, San Antonio, TX, USA
| | - Nikos Papanikolaou
- Department of Radiation Oncology, University of Texas Health Sciences Center at San Antonio, San Antonio, TX, USA
| | - David C Fuller
- Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, USA
| | - Panayiotis Mavroidis
- Department of Radiation Oncology, University of North Carolina, Chapel Hill, NC, USA
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Lock MI, Klein J, Chung HT, Herman JM, Kim EY, Small W, Mayr NA, Lo SS. Strategies to tackle the challenges of external beam radiotherapy for liver tumors. World J Hepatol 2017; 9:645-656. [PMID: 28588749 PMCID: PMC5437609 DOI: 10.4254/wjh.v9.i14.645] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/28/2016] [Revised: 12/20/2016] [Accepted: 04/20/2017] [Indexed: 02/06/2023] Open
Abstract
Primary and metastatic liver cancer is an increasingly common and difficult to control disease entity. Radiation offers a non-invasive treatment alternative for these patients who often have few options and a poor prognosis. However, the anatomy and aggressiveness of liver cancer poses significant challenges such as accurate localization at simulation and treatment, management of motion and appropriate selection of dose regimen. This article aims to review the options available and provide information for the practical implementation and/or improvement of liver cancer radiation programs within the context of stereotactic body radiotherapy and image-guided radiotherapy guidelines. Specific patient inclusion and exclusion criteria are presented given the significant toxicity found in certain sub-populations treated with radiation. Indeed, certain sub-populations, such as those with tumor thrombosis or those with larger lesions treated with transarterial chemoembolization, have been shown to have significant improvements in outcome with the addition of radiation and merit special consideration. Implementing a liver radiation program requires three primary challenges to be addressed: (1) immobilization and motion management; (2) localization; and (3) dose regimen and constraint selection. Strategies to deal with motion include simple internal target volume (ITV) expansions, non-gated ITV reduction strategies, breath hold methods, and surrogate marker methods to enable gating or tracking. Localization of the tumor and organs-at-risk are addressed using contrast infusion techniques to take advantage of different normal liver and cancer vascular anatomy, imaging modalities, and margin management. Finally, a dose response has been demonstrated and dose regimens appear to be converging. A more uniform approach to treatment in terms of technique, dose selection and patient selection will allow us to study liver radiation in larger and, hopefully, multicenter randomized studies.
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Men K, Dai J, Chen X, Li M, Zhang K, Huang P. Dual-energy imaging method to improve the image quality and the accuracy of dose calculation for cone-beam computed tomography. Phys Med 2017; 36:110-118. [PMID: 28410679 DOI: 10.1016/j.ejmp.2017.03.023] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/30/2016] [Revised: 03/26/2017] [Accepted: 03/28/2017] [Indexed: 01/30/2023] Open
Abstract
PURPOSE To improve the image quality and accuracy of dose calculation for cone-beam computed tomography (CT) images through implementation of a dual-energy cone-beam computed tomography method (DE-CBCT), and evaluate the improvement quantitatively. METHODS Two sets of CBCT projections were acquired using the X-ray volumetric imaging (XVI) system on a Synergy (Elekta, Stockholm, Sweden) system with 120kV (high) and 70kV (low) X-rays, respectively. Then, the electron density relative to water (relative electron density (RED)) of each voxel was calculated using a projection-based dual-energy decomposition method. As a comparison, single-energy cone-beam computed tomography (SE-CBCT) was used to calculate RED with the Hounsfield unit-RED calibration curve generated by a CIRS phantom scan with identical imaging parameters. The imaging dose was measured with a dosimetry phantom. The image quality was evaluated quantitatively using a Catphan 503 phantom with the evaluation indices of the reproducibility of the RED values, high-contrast resolution (MTF50%), uniformity, and signal-to-noise ratio (SNR). Dose calculation of two simulated volumetric-modulated arc therapy plans using an Eclipse treatment-planning system (Varian Medical Systems, Palo Alto, CA, USA) was performed on an Alderson Rando Head and Neck (H&N) phantom and a Pelvis phantom. Fan-beam planning CT images for the H&N and Pelvis phantom were set as the reference. A global three-dimensional gamma analysis was used to compare dose distributions with the reference. The average gamma values for targets and OAR were analyzed with paired t-tests between DE-CBCT and SE-CBCT. RESULTS In two scans (H&N scan and body scan), the imaging dose of DE-CBCT increased by 1.0% and decreased by 1.3%. It had a better reproducibility of the RED values (mean bias: 0.03 and 0.07) compared with SE-CBCT (mean bias: 0.13 and 0.16). It also improved the image uniformity (57.5% and 30.1%) and SNR (9.7% and 2.3%), but did not affect the MTF50%. Gamma analyses of the 3D dose distribution with criteria of 1%/1mm showed a pass rate of 99.0-100% and 85.3-97.6% for DE-CBCT and 73.5-99.1% and 80.4-92.7% for SE-CBCT. The average gamma values were reduced significantly by DE-CBCT (p< 0.05). Gamma index maps showed that matching of the dose distribution between CBCT-based and reference was improved by DE-CBCT. CONCLUSIONS DE-CBCT can achieve both better image quality and higher accuracy of dose calculation, and could be applied to adaptive radiotherapy.
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Affiliation(s)
- Kuo Men
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Jianrong Dai
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China.
| | - Xinyuan Chen
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Minghui Li
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Ke Zhang
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Peng Huang
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
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