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Liu F, Farris MK, Ververs JD, Hughes RT, Munley MT. Histology-driven hypofractionated radiation therapy schemes for early-stage lung adenocarcinoma and squamous cell carcinoma. Radiother Oncol 2024; 195:110257. [PMID: 38548113 PMCID: PMC11098686 DOI: 10.1016/j.radonc.2024.110257] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Revised: 03/06/2024] [Accepted: 03/21/2024] [Indexed: 04/02/2024]
Abstract
BACKGROUND AND PURPOSE Histology was found to be an important prognostic factor for local tumor control probability (TCP) after stereotactic body radiotherapy (SBRT) of early-stage non-small-cell lung cancer (NSCLC). A histology-driven SBRT approach has not been explored in routine clinical practice and histology-dependent fractionation schemes remain unknown. Here, we analyzed pooled histologic TCP data as a function of biologically effective dose (BED) to determine histology-driven fractionation schemes for SBRT and hypofractionated radiotherapy of two predominant early-stage NSCLC histologic subtypes adenocarcinoma (ADC) and squamous cell carcinoma (SCC). MATERIAL AND METHODS The least-χ2 method was used to fit the collected histologic TCP data of 8510 early-stage NSCLC patients to determine parameters for a well-developed radiobiological model per the Hypofractionated Treatment Effects in the Clinic (HyTEC) initiative. RESULTS A fit to the histologic TCP data yielded independent radiobiological parameter sets for radiotherapy of early-stage lung ADC and SCC. TCP increases steeply with BED and reaches an asymptotic maximal plateau, allowing us to determine model-independent optimal fractionation schemes of least doses in 1-30 fractions to achieve maximal tumor control for early-stage lung ADC and SCC, e.g., 30, 44, 48, and 51 Gy for ADC, and 32, 48, 54, and 58 Gy for SCC in 1, 3, 4, and 5 fractions, respectively. CONCLUSION We presented the first determination of histology-dependent radiobiological parameters and model-independent histology-driven optimal SBRT and hypofractionated radiation therapy schemes for early-stage lung ADC and SCC. SCC requires substantially higher radiation doses to maximize tumor control than ADC, plausibly attributed to tumor genetic diversity and microenvironment. The determined optimal SBRT schemes agree well with clinical practice for early-stage lung ADC. These proposed optimal fractionation schemes provide first insights for histology-based personalized radiotherapy of two predominant early-stage NSCLC subtypes ADC and SCC, which require further validation with large-scale histologic TCP data.
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Affiliation(s)
- Feng Liu
- Department of Radiation Oncology, Wake Forest University School of Medicine and Atrium Health Wake Forest Baptist Medical Center, Winston-Salem, NC 27157, USA.
| | - Michael K Farris
- Department of Radiation Oncology, Wake Forest University School of Medicine and Atrium Health Wake Forest Baptist Medical Center, Winston-Salem, NC 27157, USA
| | - James D Ververs
- Department of Radiation Oncology, Wake Forest University School of Medicine and Atrium Health Wake Forest Baptist Medical Center, Winston-Salem, NC 27157, USA
| | - Ryan T Hughes
- Department of Radiation Oncology, Wake Forest University School of Medicine and Atrium Health Wake Forest Baptist Medical Center, Winston-Salem, NC 27157, USA
| | - Michael T Munley
- Department of Radiation Oncology, Wake Forest University School of Medicine and Atrium Health Wake Forest Baptist Medical Center, Winston-Salem, NC 27157, USA
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Liu F, Brown DR, Munley MT. Optimal hypofractionated radiation therapy schemes for early-stage hepatocellular carcinoma. Radiother Oncol 2024; 194:110223. [PMID: 38467342 DOI: 10.1016/j.radonc.2024.110223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2023] [Revised: 02/29/2024] [Accepted: 03/06/2024] [Indexed: 03/13/2024]
Abstract
PURPOSE Stereotactic body radiation therapy (SBRT) has been emerging as an efficacious and safe treatment modality for early-stage hepatocellular carcinoma (HCC), but optimal fractionation regimens are unknown. This study aims to analyze published clinical tumor control probability (TCP) data as a function of biologically effective dose (BED) and to determine radiobiological parameters and optimal fractionation schemes for SBRT and hypofractionated radiation therapy of early-stage HCC. MATERIAL AND METHODS Clinical 1- to 5-year TCP data of 4313 patients from 41 published papers were collected for hypofractionated radiation therapy at 2.5-4.5 Gy/fraction and SBRT of early-stage HCC. BED was calculated at isocenter using three representative radiobiological models developed per the Hypofractionated Treatment Effects in the Clinic (HyTEC) initiative. Radiobiological parameters were determined from a fit to the TCP data using the least χ2 method with one set of model parameters regardless of tumor stages or Child-Pugh scores A and B. RESULTS The fits to the clinical TCP data for SBRT of early-stage HCC found consistent α/β ratios of about 14 Gy for all three radiobiological models. TCP increases sharply with BED and reaches an asymptotic maximal plateau, which results in optimal fractionation schemes of least doses to achieve asymptotic maximal tumor control for SBRT and hypofractionated radiation therapy of early-stage HCC that are found to be model-independent. CONCLUSION From the fits to the clinical TCP data, we presented the first determination of radiobiological parameters and model-independent optimal fractionation regimens in 1-20 fractions to achieve maximal tumor control whenever safe for SBRT and hypofractionated radiation therapy of early-stage HCC. The determined optimal fractionation schemes agree well with clinical practice for SBRT of early-stage HCC. However, most existing hypofractionated radiation therapy schemes of 3-5 Gy/fraction are not optimal, higher doses are required to maximize tumor control, further validation of these findings is essential with clinical TCP data.
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Affiliation(s)
- Feng Liu
- Department of Radiation Oncology, Wake Forest University School of Medicine and Atrium Health Wake Forest Baptist Medical Center, Winston-Salem, NC 27157, USA.
| | - Doris R Brown
- Department of Radiation Oncology, Wake Forest University School of Medicine and Atrium Health Wake Forest Baptist Medical Center, Winston-Salem, NC 27157, USA
| | - Michael T Munley
- Department of Radiation Oncology, Wake Forest University School of Medicine and Atrium Health Wake Forest Baptist Medical Center, Winston-Salem, NC 27157, USA
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Liu F, Ververs JD, Farris MK, Blackstock AW, Munley MT. Optimal Radiation Therapy Fractionation Regimens for Early-Stage Non-Small Cell Lung Cancer. Int J Radiat Oncol Biol Phys 2024; 118:829-838. [PMID: 37734445 DOI: 10.1016/j.ijrobp.2023.09.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Revised: 08/04/2023] [Accepted: 09/10/2023] [Indexed: 09/23/2023]
Abstract
PURPOSE A series of radiobiological models were developed to study tumor control probability (TCP) for stereotactic body radiation therapy (SBRT) of early-stage non-small cell lung cancer (NSCLC) per the Hypofractionated Treatment Effects in the Clinic (HyTEC) working group. This study was conducted to further validate 3 representative models with the recent clinical TCP data ranging from conventional radiation therapy to SBRT of early-stage NSCLC and to determine systematic optimal fractionation regimens in 1 to 30 fractions for radiation therapy of early-stage NSCLC that were found to be model-independent. METHODS AND MATERIALS Recent clinical 1-, 2-, 3-, and 5-year actuarial or Kaplan-Meier TCP data of 9808 patients from 56 published papers were collected for radiation therapy of 2 to 4 Gy per fraction and SBRT of early-stage NSCLC. This data set nearly triples the original HyTEC sample, which was used to further validate the HyTEC model parameters determined from a fit to the clinical TCP data. RESULTS TCP data from the expanded data set are well described by the HyTEC models with α/β ratios of about 20 Gy. TCP increases sharply with biologically effective dose and reaches an asymptotic maximal plateau, which allows us to determine optimal fractionation schemes for radiation therapy of early-stage NSCLC. CONCLUSIONS The HyTEC radiobiological models with α/β ratios of about 20 Gy determined from the fits to the clinical TCP data for SBRT of early-stage NSCLC describe the recent TCP data well for both radiation therapy of 2 to 4 Gy per fraction and SBRT dose and fractionation schemes of early-stage NSCLC. A steep dose response exists between TCP and biologically effective dose, and TCP reaches an asymptotic maximum. This feature results in model-independent optimal fractionation regimens determined whenever safe for SBRT and hypofractionated radiation therapy of early-stage NSCLC in 1 to 30 fractions to achieve asymptotic maximal tumor control, and T2 tumors require slightly higher optimal doses than T1 tumors. The proposed optimal fractionation schemes are consistent with clinical practice for SBRT of early-stage NSCLC.
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Affiliation(s)
- Feng Liu
- Department of Radiation Oncology, Wake Forest University School of Medicine and Atrium Health Wake Forest Baptist Medical Center, Winston-Salem, North Carolina.
| | - James D Ververs
- Department of Radiation Oncology, Wake Forest University School of Medicine and Atrium Health Wake Forest Baptist Medical Center, Winston-Salem, North Carolina
| | - Michael K Farris
- Department of Radiation Oncology, Wake Forest University School of Medicine and Atrium Health Wake Forest Baptist Medical Center, Winston-Salem, North Carolina
| | - A William Blackstock
- Department of Radiation Oncology, Wake Forest University School of Medicine and Atrium Health Wake Forest Baptist Medical Center, Winston-Salem, North Carolina
| | - Michael T Munley
- Department of Radiation Oncology, Wake Forest University School of Medicine and Atrium Health Wake Forest Baptist Medical Center, Winston-Salem, North Carolina
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Matsumoto K, Maruyama A, Watanabe S, Tachibana R, Yamaguchi T, Suzuki K, Kurihara Y, Maehara M, Arakawa S, Hosokai Y. Characteristics of a real-time radiation exposure dosimetry system using a synthetic ruby for radiotherapy. Radiol Phys Technol 2023; 16:69-76. [PMID: 36508129 DOI: 10.1007/s12194-022-00691-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Revised: 12/05/2022] [Accepted: 12/06/2022] [Indexed: 12/14/2022]
Abstract
Radiotherapy-related medical accidents are frequently caused by planning problems, excessive irradiation during radiotherapy, or patient movement. This is partly because the local exposure dose cannot be directly monitored during radiotherapy. This article discusses the development of our recent real-time radiation exposure dosimetry system that uses a synthetic ruby for radiation therapy. Background noise was observed before the measurement of the short-term characteristic features. Regarding the relationship between the number of photons and dose rate, using 100 monitor units (MU)/min as the measurement value, the counts decreased by approximately 10% at 600 MU/min. A clear correlation was observed between the MU value and the number of photons (R2 = 0.9987). The coefficient of variation (%CV) was less than ± 1.0% under all the irradiation conditions. Slight differences were observed between the ion chamber and the synthetic ruby dosimeters in the measurement of the percentage depth dose. However, this difference was almost matched by correcting for the Cherenkov light. Although some problems were observed with the synthetic ruby dosimeter system, our results indicate that the developed dosimeter can be used to measure the irradiation dose of patients in real time, with no significant impact on the data, as any effect would be masked by the larger effect of the ruby; however, the impact requires a detailed assessment in the future.
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Affiliation(s)
- Kenki Matsumoto
- School of Health Sciences, Department of Radiological Sciences, International University of Health and Welfare, 2600-1, Kitakanemaru, Otawara, , Tochigi, 324-8501, Japan
| | - Ayaka Maruyama
- School of Health Sciences, Department of Radiological Sciences, International University of Health and Welfare, 2600-1, Kitakanemaru, Otawara, , Tochigi, 324-8501, Japan
| | - Satoru Watanabe
- South Miyagi Medical Center, Shibata, Miyagi, 989-1253, Japan
| | - Ryousuke Tachibana
- School of Health Sciences, Department of Radiological Sciences, International University of Health and Welfare, 2600-1, Kitakanemaru, Otawara, , Tochigi, 324-8501, Japan
| | - Toshiya Yamaguchi
- School of Health Sciences, Department of Radiological Sciences, International University of Health and Welfare, 2600-1, Kitakanemaru, Otawara, , Tochigi, 324-8501, Japan
| | - Kouki Suzuki
- School of Health Sciences, Department of Radiological Sciences, International University of Health and Welfare, 2600-1, Kitakanemaru, Otawara, , Tochigi, 324-8501, Japan
| | - Yoshiki Kurihara
- School of Health Sciences, Department of Radiological Sciences, International University of Health and Welfare, 2600-1, Kitakanemaru, Otawara, , Tochigi, 324-8501, Japan
| | - Masayoshi Maehara
- School of Health Sciences, Department of Radiological Sciences, International University of Health and Welfare, 2600-1, Kitakanemaru, Otawara, , Tochigi, 324-8501, Japan
| | - Satoshi Arakawa
- School of Health Sciences, Department of Radiological Sciences, International University of Health and Welfare, 2600-1, Kitakanemaru, Otawara, , Tochigi, 324-8501, Japan
| | - Yoshiyuki Hosokai
- School of Health Sciences, Department of Radiological Sciences, International University of Health and Welfare, 2600-1, Kitakanemaru, Otawara, , Tochigi, 324-8501, Japan.
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Evaluation of calibration methods of Exradin W2 plastic scintillation detector for CyberKnife small-field dosimetry. RADIAT MEAS 2022. [DOI: 10.1016/j.radmeas.2022.106821] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
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Cloutier E, Beaulieu L, Archambault L. On the use of polychromatic cameras for high spatial resolution spectral dose measurements. Phys Med Biol 2022; 67. [DOI: 10.1088/1361-6560/ac6b0e] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Accepted: 04/27/2022] [Indexed: 11/11/2022]
Abstract
Abstract
Objective. Despite the demonstrated benefits of hyperspectral formalism for stem effect corrections in the context of fiber dose measurements, this approach has not been yet translated into volumetric measurements where cameras are typically used for their distinguishing spatial resolution. This work investigates demosaicing algorithms for polychromatic cameras based spectral imaging. Approach. The scintillation and Cherenkov signals produced in a radioluminescent phantom are imaged by a polychromatic camera and isolated using the spectral formalism. To do so, five demosaicing algorithms are investigated from calibration to measurements: a clustering method and four interpolation algorithms. The resulting accuracy of scintillation and Cherenkov images is evaluated with measurements of the differences (mean ± standard deviation) between the obtained and expected signals from profiles drawn across a scintillation spot. Signal-to-noise ratio and signal-to-background ratio are further measured and compared in the resulting scintillation images. Finally, the resulting differences on the scintillation signal from a 0.2 × 0.2 cm2 region-of-interest (ROI) were reported. Main results. Clustering, OpenCV, bilinear, Malvar and Menon demosaicing algorithms respectively yielded differences of 3 ± 5%, 1 ± 3%, 1 ± 3%, 1 ± 2% and 2 ± 4% in the resulting scintillation images. For the Cherenkov images, all algorithms provided differences below 1%. All methods enabled measurements over the detectability (SBR > 2) and sensitivity (SNR > 5) thresholds with the bilinear algorithm providing the best SNR value. Clustering, OpenCV, bilinear, Malvar and Menon demosaicing algorithms respectively provided differences on the ROI analysis of 7 ± 5%, 3 ± 2%, 3 ± 2%, 4 ± 2%, 7 ± 3%. Significance. Radioluminescent signals can accurately be isolated using a single polychromatic camera. Moreover, demosaicing using a bilinear kernel provided the best results and enabled Cherenkov signal subtraction while preserving the full spatial resolution of the camera.
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Lee P, Loo BW, Biswas T, Ding GX, El Naqa IM, Jackson A, Kong FM, LaCouture T, Miften M, Solberg T, Tome WA, Tai A, Yorke E, Li XA. Local Control After Stereotactic Body Radiation Therapy for Stage I Non-Small Cell Lung Cancer. Int J Radiat Oncol Biol Phys 2021; 110:160-171. [PMID: 30954520 PMCID: PMC9446070 DOI: 10.1016/j.ijrobp.2019.03.045] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2019] [Revised: 02/06/2019] [Accepted: 03/27/2019] [Indexed: 02/07/2023]
Abstract
PURPOSE Numerous dose and fractionation schedules have been used to treat medically inoperable stage I non-small cell lung cancer (NSCLC) with stereotactic body radiation therapy (SBRT) or stereotactic ablative radiation therapy. We evaluated published experiences with SBRT to determine local control (LC) rates as a function of SBRT dose. METHODS AND MATERIALS One hundred sixty published articles reporting LC rates after SBRT for stage I NSCLC were identified. Quality of the series was assessed by evaluating the number of patients in the study, homogeneity of the dose regimen, length of follow-up time, and reporting of LC. Clinical data including 1, 2, 3, and 5-year tumor control probabilities for stages T1, T2, and combined T1 and T2 as a function of the biological effective dose were fitted to the linear quadratic, universal survival curve, and regrowth models. RESULTS Forty-six studies met inclusion criteria. As measured by the goodness of fit χ2/ndf, with ndf as the number of degrees of freedom, none of the models were ideal fits for the data. Of the 3 models, the regrowth model provides the best fit to the clinical data. For the regrowth model, the fitting yielded an α-to-β ratio of approximately 25 Gy for T1 tumors, 19 Gy for T2 tumors, and 21 Gy for T1 and T2 combined. To achieve the maximal LC rate, the predicted physical dose schemes when prescribed at the periphery of the planning target volume are 43 ± 1 Gy in 3 fractions, 47 ± 1 Gy in 4 fractions, and 50 ± 1 Gy in 5 fractions for combined T1 and T2 tumors. CONCLUSIONS Early-stage NSCLC is radioresponsive when treated with SBRT or stereotactic ablative radiation therapy. A steep dose-response relationship exists with high rates of durable LC when physical doses of 43-50 Gy are delivered in 3 to 5 fractions.
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Affiliation(s)
- Percy Lee
- Department of Radiation Oncology, David Geffen School of Medicine at UCLA, Los Angeles, California.
| | - Billy W Loo
- Department of Radiation Oncology, Stanford University, Stanford, California
| | - Tithi Biswas
- Department of Radiation Oncology, University Hospitals Case Medical Center, Cleveland, Ohio
| | - George X Ding
- Department of Radiation Oncology, Vanderbilt University School of Medicine, Nashville, Tennessee
| | - Issam M El Naqa
- Department of Radiation Oncology, University of Michigan School of Medicine, Ann Arbor, Michigan
| | - Andrew Jackson
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Feng-Ming Kong
- Department of Radiation Oncology, University Hospitals Cleveland Medical Center, Cleveland, Ohio
| | - Tamara LaCouture
- Department of Radiation Oncology, Jefferson Health New Jersey, Sewell, New Jersey
| | - Moyed Miften
- Department of Radiation Oncology, Colorado University School of Medicine, Aurora, Colorado
| | - Timothy Solberg
- Department of Radiation Oncology, University of California at San Francisco, San Francisco, California
| | - Wolfgang A Tome
- Department of Radiation Oncology, Albert Einstein College of Medicine, New York, New York
| | - An Tai
- Department of Radiation Oncology, Medical College of Wisconsin, Milwaukee, Wisconsin
| | - Ellen Yorke
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - X Allen Li
- Department of Radiation Oncology, Medical College of Wisconsin, Milwaukee, Wisconsin
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Mahadevan A, Emami B, Grimm J, Kleinberg LR, Redmond KJ, Welsh JS, Rostock R, Kemmerer E, Forster KM, Stanford J, Shah S, Asbell SO, LaCouture TA, Scofield C, Butterwick I, Xue J, Muacevic A, Adler JR. Potential Clinical Significance of Overall Targeting Accuracy and Motion Management in the Treatment of Tumors That Move With Respiration: Lessons Learnt From a Quarter Century of Stereotactic Body Radiotherapy From Dose Response Models. Front Oncol 2021; 10:591430. [PMID: 33634020 PMCID: PMC7900559 DOI: 10.3389/fonc.2020.591430] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2020] [Accepted: 12/07/2020] [Indexed: 12/25/2022] Open
Abstract
OBJECTIVE To determine the long-term normal tissue complication probability with stereotactic body radiation therapy (SBRT) treatments for targets that move with respiration and its relation with the type of respiratory motion management (tracking vs. compression or gating). METHODS A PubMed search was performed for identifying literature regarding dose, volume, fractionation, and toxicity (grade 3 or higher) for SBRT treatments for tumors which move with respiration. From the identified papers logistic or probit dose-response models were fitted to the data using the maximum-likelihood technique and confidence intervals were based on the profile-likelihood method in the dose-volume histogram (DVH) Evaluator. RESULTS Pooled logistic and probit models for grade 3 or higher toxicity for aorta, chest wall, duodenum, and small bowel suggest a significant difference when live motion tracking was used for targeting tumors with move with respiration which was on the average 10 times lower, in the high dose range. CONCLUSION Live respiratory motion management appears to have a better toxicity outcome when treating targets which move with respiration with very steep peripheral dose gradients. This analysis is however limited by sparsity of rigorous data due to poor reporting in the literature.
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Affiliation(s)
- Anand Mahadevan
- Department of Radiation Oncology, Geisinger Cancer Institute, Danville, PA, United States
| | - Bahman Emami
- Department of Radiation Oncology, Loyola University Medical Center, Chicago, IL, United States
| | - Jimm Grimm
- Department of Radiation Oncology, Geisinger Cancer Institute, Danville, PA, United States
| | - Lawrence R. Kleinberg
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Kristin J. Redmond
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - James S. Welsh
- Department of Radiation Oncology, Loyola University Medical Center, Chicago, IL, United States
| | - Robert Rostock
- Department of Radiation Oncology, Geisinger Cancer Institute, Danville, PA, United States
| | - Eric Kemmerer
- Department of Radiation Oncology, Geisinger Cancer Institute, Danville, PA, United States
| | - Kenneth M. Forster
- Department of Radiation Oncology, Geisinger Cancer Institute, Danville, PA, United States
| | - Jason Stanford
- Department of Radiation Oncology, Geisinger Cancer Institute, Danville, PA, United States
| | - Sunjay Shah
- Department of Radiation Oncology, Helen F. Graham Cancer Center, Christiana Care Health System, Newark, DE, United States
| | - Sucha O. Asbell
- Department of Radiation Oncology, Thomas Jefferson University, Philadelphia, PA, United States
| | - Tamara A. LaCouture
- Department of Radiation Oncology, Thomas Jefferson University, Philadelphia, PA, United States
| | - Carla Scofield
- Department of Radiation Oncology, Geisinger Cancer Institute, Danville, PA, United States
| | - Ian Butterwick
- Department of Radiation Oncology, Geisinger Cancer Institute, Danville, PA, United States
| | - Jinyu Xue
- Department of Radiation Oncology, New York University, New York City, NY, United States
| | | | - John R. Adler
- Department of Neurosurgery, Stanford University School of Medicine, Stanford, CA, United States
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Snyder JD, Sullivan RJ, Wu X, Covington EL, Popple RA. Use of a plastic scintillator detector for patient-specific quality assurance of VMAT SRS. J Appl Clin Med Phys 2020; 20:143-148. [PMID: 31538717 PMCID: PMC6753731 DOI: 10.1002/acm2.12705] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2019] [Revised: 07/13/2019] [Accepted: 07/25/2019] [Indexed: 11/30/2022] Open
Abstract
Purpose To evaluate a scintillator detector for patient‐specific quality assurance of VMAT radiosurgery plans. Methods The detector was comprised of a 1 mm diameter, 1 mm high scintillator coupled to an acrylic optical fiber. Sixty VMAT SRS plans for treatment of single targets having sizes ranging from 3 mm to 30.2 mm equivalent diameter (median 16.3 mm) were selected. The plans were delivered to a 20 cm × 20 cm x 15 cm water equivalent plastic phantom having either the scintillator detector or radiochromic film at the center. Calibration films were obtained for each measurement session. The films were scanned and converted to dose using a 3‐channel technique. Results The mean difference between scintillator and film was ‒0.45% (95% confidence interval ‒0.1% to 0.8%). For target equivalent diameter smaller than the median, the mean difference was 1.1% (95% confidence interval 0.5% to 1.7%). For targets larger than the median, the mean difference was ‒0.2% (95% confidence interval ‒0.7% to 0.1%). Conclusions The scintillator detector response is independent of target size for targets as small as 3 mm and is well‐suited for patient‐specific quality assurance of VMAT SRS plans. Further work is needed to evaluate the accuracy for VMAT plans that treat multiple targets using a single isocenter.
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Affiliation(s)
- Jesse D Snyder
- Department of Radiation Oncology, The University of Alabama at Birmingham, Birmingham, AL, USA
| | - Rodney J Sullivan
- Department of Radiation Oncology, The University of Alabama at Birmingham, Birmingham, AL, USA
| | - Xingen Wu
- Department of Radiation Oncology, The University of Alabama at Birmingham, Birmingham, AL, USA
| | - Elizabeth L Covington
- Department of Radiation Oncology, The University of Alabama at Birmingham, Birmingham, AL, USA
| | - Richard A Popple
- Department of Radiation Oncology, The University of Alabama at Birmingham, Birmingham, AL, USA
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Alharbi M, Martyn M, O'Keeffe S, Therriault-Proulx F, Beaulieu L, Foley M. Benchmarking a novel inorganic scintillation detector for applications in radiation therapy. Phys Med 2019; 68:124-131. [DOI: 10.1016/j.ejmp.2019.11.018] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2019] [Revised: 10/29/2019] [Accepted: 11/18/2019] [Indexed: 11/29/2022] Open
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11
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Volume effects in radiosurgical spinal cord dose tolerance: how small is too small? ACTA ACUST UNITED AC 2019. [DOI: 10.1007/s13566-018-0371-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
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12
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Fukui Y, Hamada Y, Noma K, Harada N. [Characterization of Small Volume Plastic Scintillation Detector]. Nihon Hoshasen Gijutsu Gakkai Zasshi 2019; 75:652-658. [PMID: 31327776 DOI: 10.6009/jjrt.2019_jsrt_75.7.652] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Some radiation detectors are used for quality assurance and measured to radiation dose for high precision external beam radiotherapy. Recently, plastic scintillation detectors for MeV X-ray measurement are commercially released. The purpose of this study was to evaluate the performance of a commercial plastic scintillation detector with respect to the dose linearity, dose rate dependence, and the output coefficient compared the ionization chamber and the semiconductor detector using each different X-ray energy with or without flattening filter. The result that the dose linearity of each detector showed a linear response in any detectors. Dose rate dependence of plastic scintillation detector was increased when setting dose rate was changed, especially setting to low dose rate. The output coefficient of plastic scintillation detector was equivalent as that of the semiconductor detector even in smallest irradiation field. In conclusion, it was suggested that the plastic scintillation detector is a suitable detector in dose verification measurements for high precision external beam radiotherapy, although we must be with care to low dose rate measurements.
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Affiliation(s)
- Yusuke Fukui
- Radiology Service, Shiga University of Medical Science Hospital
| | - Yuto Hamada
- Radiology Service, Shiga University of Medical Science Hospital (Current address: Canon Medical Systems Corporation)
| | - Kazuo Noma
- Radiology Service, Shiga University of Medical Science Hospital
| | - Naoki Harada
- Radiology Service, Shiga University of Medical Science Hospital
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