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Iramina H, Nakamura M, Sasaki M, Mizowaki T. Performance of cone-beam computed tomography imaging during megavoltage beam irradiation under phase-gated conditions. Phys Med 2024; 123:103409. [PMID: 38870644 DOI: 10.1016/j.ejmp.2024.103409] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Revised: 05/23/2024] [Accepted: 06/10/2024] [Indexed: 06/15/2024] Open
Abstract
PURPOSE Target positions should be acquired during beam delivery for accurate lung stereotactic body radiotherapy. We aimed to perform kilovoltage (kV) imaging during beam irradiation (intra-irradiation imaging) under phase-gated conditions and evaluate its performance. METHODS Catphan 504 and QUASAR respiratory motion phantoms were used to evaluate image quality and target detectability, respectively. TrueBeam STx linac and the Developer Mode was used. The imaging parameters were 125 kVp and 1.2 mAs/projection. Flattened megavoltage (MV) X-ray beam energies 6, 10 and 15 MV and un-flattened beam energies 6 and 10 MV were used with field sizes of 5 × 5 and 15 × 15 cm2 and various frame rates for intra-irradiation imaging. In addition, using a QUASAR phantom, intra-irradiation imaging was performed during intensity-modulated plan delivery. The root-mean-square error (RMSE) of the CT-number for the inserted rods, image noise, visual assessment, and contrast-to-noise ratio (CNR) were evaluated. RESULTS The RMSEs of intra-irradiation cone-beam computed tomography (CBCT) images under gated conditions were 50-230 Hounsfield Unit (HU) (static < 30 HU). The noise of the intra-irradiation CBCT images under gated conditions was 15-35 HU, whereas that of the standard CBCT images was 8.8-27.2 HU. Lower frame rates exhibited large RMSEs and noise; however, the iterative reconstruction algorithm (IR) was effective at improving these values. Approximately 7 fps with the IR showed an equivalent CNR of 15 fps without the IR. The target was visible on all the gated intra-irradiation CBCT images. CONCLUSION Several image quality improvements are required; however, intra-irradiated CBCT images showed good visual target detection.
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Affiliation(s)
- Hiraku Iramina
- Department of Radiation Oncology and Image-Applied Therapy, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan.
| | - Mitsuhiro Nakamura
- Department of Advanced Medical Physics, Graduate School of Medicine, Kyoto University, 53 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan.
| | - Makoto Sasaki
- Division of Clinical Radiology Service, Kyoto University Hospital, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan.
| | - Takashi Mizowaki
- Department of Radiation Oncology and Image-Applied Therapy, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto 606-8507, Japan.
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Csiki E, Simon M, Papp J, Barabás M, Mikáczó J, Gál K, Sipos D, Kovács Á. Stereotactic body radiotherapy in lung cancer: a contemporary review. Pathol Oncol Res 2024; 30:1611709. [PMID: 38476352 PMCID: PMC10928908 DOI: 10.3389/pore.2024.1611709] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Accepted: 02/15/2024] [Indexed: 03/14/2024]
Abstract
The treatment of early stage non-small cell lung cancer (NSCLC) has improved enormously in the last two decades. Although surgery is not the only choice, lobectomy is still the gold standard treatment type for operable patients. For inoperable patients stereotactic body radiotherapy (SBRT) should be offered, reaching very high local control and overall survival rates. With SBRT we can precisely irradiate small, well-defined lesions with high doses. To select the appropriate fractionation schedule it is important to determine the size, localization and extent of the lung tumor. The introduction of novel and further developed planning (contouring guidelines, diagnostic image application, planning systems) and delivery techniques (motion management, image guided radiotherapy) led to lower rates of side effects and more conformal target volume coverage. The purpose of this study is to summarize the current developments, randomised studies, guidelines about lung SBRT, with emphasis on the possibility of increasing local control and overall rates in "fit," operable patients as well, so SBRT would be eligible in place of surgery.
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Affiliation(s)
- Emese Csiki
- Department of Oncoradiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
- Doctoral School of Clinical Medicine, University of Debrecen, Debrecen, Hungary
| | - Mihály Simon
- Department of Oncoradiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
| | - Judit Papp
- Department of Oncoradiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
| | - Márton Barabás
- Department of Oncoradiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
- Doctoral School of Clinical Medicine, University of Debrecen, Debrecen, Hungary
| | - Johanna Mikáczó
- Department of Oncoradiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
- Doctoral School of Clinical Medicine, University of Debrecen, Debrecen, Hungary
| | - Kristóf Gál
- Department of Oncoradiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
| | - David Sipos
- Faculty of Health Sciences, University of Pécs, Pecs, Hungary
| | - Árpád Kovács
- Department of Oncoradiology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
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Gill A, Hirst AL, Rowshanfarzad P, Gill S, Bucknell N, Dass J, Sabet M. Stereotactic body radiotherapy for early-stage lung cancer: a systematic review on the choice of photon energy and linac flattened/unflattened beams. Radiat Oncol 2024; 19:1. [PMID: 38167095 PMCID: PMC10762943 DOI: 10.1186/s13014-023-02392-4] [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: 07/05/2023] [Accepted: 12/15/2023] [Indexed: 01/05/2024] Open
Abstract
SBRT is an effective local treatment for patients with early-stage non-small cell lung cancer (NSCLC). This treatment is currently used in patients who have poor lung function or who decline surgery. As SBRT usually has small PTV margins, reducing the beam-on-time (BOT) is beneficial for accurate dose delivery by minimising intrafraction motion as well as improved patient comfort. Removal of the linear accelerator flattening filter can provide a higher dose rate which results in a faster treatment. In addition, the choice of photon energy can also affect the dose distribution to the target and the organs-at-risk (OAR). In this systematic review, studies analysing the choice of various photon beam energies, with a flattening filter or flattening filter free (FFF), were compared for their overall dosimetric benefit in the SBRT treatment for early-stage NSCLC. It was found that FFF treatment delivers a comparatively more conformal dose distribution, as well as a better homogeneity index and conformity index, and typically reduces BOT by between 30 and 50%. The trade-off may be a minor increase in monitor units for FFF treatment found in some studies but not others. Target conformity and OAR sparing, particularly lung doses appear better with 6MV FFF, but 10MV FFF was marginally more advantageous for skin sparing and BOT reduction. The favourable beam modality for clinical use would depend on the individual case, for which tumour size and depth, radiotherapy technique, as well as fractionation scheme need to be taken into account.
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Affiliation(s)
- Ashlesha Gill
- School of Physics, Mathematics and Computing, The University of Western Australia, Crawley, WA, 6009, Australia.
| | - Andrew L Hirst
- Department of Radiation Oncology, Sir Charles Gairdner Hospital, Nedlands, WA, 6009, Australia
| | - Pejman Rowshanfarzad
- School of Physics, Mathematics and Computing, The University of Western Australia, Crawley, WA, 6009, Australia
| | - Suki Gill
- School of Physics, Mathematics and Computing, The University of Western Australia, Crawley, WA, 6009, Australia
- Department of Radiation Oncology, Sir Charles Gairdner Hospital, Nedlands, WA, 6009, Australia
| | - Nicholas Bucknell
- Department of Radiation Oncology, Sir Charles Gairdner Hospital, Nedlands, WA, 6009, Australia
- Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, VIC, 3000, Australia
| | - Joshua Dass
- Department of Radiation Oncology, Sir Charles Gairdner Hospital, Nedlands, WA, 6009, Australia
| | - Mahsheed Sabet
- School of Physics, Mathematics and Computing, The University of Western Australia, Crawley, WA, 6009, Australia
- Department of Radiation Oncology, Sir Charles Gairdner Hospital, Nedlands, WA, 6009, Australia
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Sohn J, Polizzi M, McDonagh PR, Guy C, Datsang R, Weiss E, Kim S. Shallow kinetics induced by a metronome (SKIM): A novel contactless respiratory motion management. J Appl Clin Med Phys 2023; 24:e14147. [PMID: 37672210 PMCID: PMC10691643 DOI: 10.1002/acm2.14147] [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: 03/05/2023] [Revised: 06/26/2023] [Accepted: 08/03/2023] [Indexed: 09/07/2023] Open
Abstract
OBJECTIVES As an alternative to conventional compression amidst the COVID-19 pandemic, we developed a contactless motion management strategy. By increasing the patient's breathing rate to induce shallow breathing with the aid of a metronome, our hypothesis is that the motion magnitude of the target may be minimized without physical contact or compression. METHODS Fourteen lung stereotactic body radiation therapy (SBRT) patients treated under fast shallow-breathing (FSB) were selected for inclusion in this retrospective study. Our proposed method is called shallow kinetics induced by a metronome (SKIM). We induce FSB by setting the beats-per-minute (BPM) high (typically in the range of 50-60). This corresponded to a patient breathing rate of 25-30 (breathing) cycles per minute. The magnitude of target motion in 3D under SKIM was evaluated using 4DCT datasets. Comparison with free breathing (FB) 4DCT was also made for a subset for which FB data available. RESULTS The overall effectiveness of SKIM was evaluated with 18 targets (14 patients). Direct comparison with FB was performed with 12 targets (10 patients). The vector norm mean ± SD value of motion magnitude under SKIM for 18 targets was 8.2 ± 4.1 mm. The mean ± SD metronome BPM was 54.9 ± 4.0 in this group. The vector norm means ± SD values of target motion for FB and SKIM in the 12 target sub-group were 14.6 ± 8.5 mm and 9.3 ± 3.7 mm, respectively. The mean ± SD metronome BPM for this sub-group was 56.3 ± 2.5. CONCLUSION Compared with FB, SKIM can significantly reduce respiratory motion magnitude of thoracic targets. The difference in maximum motion reduction in the overall vector norm, S-I, and A-P directions was significant (p = 0.033, 0.042, 0.011). Our proposed method can be an excellent practical alternative to conventional compression due to its flexibility and ease of implementation.
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Affiliation(s)
- James Sohn
- Department of Radiation OncologyNorthwestern Memorial HospitalNorthwestern University Feinberg School of MedicineChicagoIllinoisUSA
| | - Mitchell Polizzi
- Department of Radiation OncologyVirginia Commonwealth UniversityRichmondVirginiaUSA
| | - Philip Reed McDonagh
- Department of Radiation OncologyVirginia Commonwealth UniversityRichmondVirginiaUSA
| | - Christopher Guy
- Department of Radiation OncologyVirginia Commonwealth UniversityRichmondVirginiaUSA
| | - Rabten Datsang
- Department of Radiation OncologyVirginia Commonwealth UniversityRichmondVirginiaUSA
| | - Elisabeth Weiss
- Department of Radiation OncologyVirginia Commonwealth UniversityRichmondVirginiaUSA
| | - Siyong Kim
- Department of Radiation OncologyVirginia Commonwealth UniversityRichmondVirginiaUSA
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Saglam Y, Selek U, Bolukbasi Y. A novel and clinically useful weight-optimized dynamic conformal arc in stereotactic radiation therapy of non-small cell lung cancer: Dosimetric comparison of treatment plans with volumetric‐modulated arc therapy. Radiat Phys Chem Oxf Engl 1993 2022. [DOI: 10.1016/j.radphyschem.2022.110623] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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Tascón-Vidarte JD, Stick LB, Josipovic M, Risum S, Jomier J, Erleben K, Vogelius IR, Darkner S. Accuracy and consistency of intensity-based deformable image registration in 4DCT for tumor motion estimation in liver radiotherapy planning. PLoS One 2022; 17:e0271064. [PMID: 35802593 PMCID: PMC9269460 DOI: 10.1371/journal.pone.0271064] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Accepted: 06/23/2022] [Indexed: 11/29/2022] Open
Abstract
We investigate the accuracy of intensity-based deformable image registration (DIR) for tumor localization in liver stereotactic body radiotherapy (SBRT). We included 4DCT scans to capture the breathing motion of eight patients receiving SBRT for liver metastases within a retrospective clinical study. Each patient had three fiducial markers implanted. The liver and the tumor were delineated in the mid-ventilation phase, and their positions in the other phases were estimated with deformable image registration. We tested referenced and sequential registrations strategies. The fiducial markers were the gold standard to evaluate registration accuracy. The registration errors related to measured versus estimated fiducial markers showed a mean value less than 1.6mm. The positions of some fiducial markers appeared not stable on the 4DCT throughout the respiratory phases. Markers’ center of mass tends to be a more reliable measurement. Distance errors of tumor location based on registration versus markers center of mass were less than 2mm. There were no statistically significant differences between the reference and the sequential registration, i.e., consistency and errors were comparable to resolution errors. We demonstrated that intensity-based DIR is accurate up to resolution level for locating the tumor in the liver during breathing motion.
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Affiliation(s)
| | | | | | | | | | - Kenny Erleben
- Department of Computer Science, University of Copenhagen, Copenhagen, Denmark
| | | | - Sune Darkner
- Department of Computer Science, University of Copenhagen, Copenhagen, Denmark
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7
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Willmann J, Sidiqi B, Wang C, Czmielewski C, Li HJ, Dick-Godfrey R, Chawla M, Lee RP, Gelb E, Wu AJ, Lovelock M, Zhang Z, Yorke ED, Rimner A. Four-Dimensional Computed Tomography-Based Correlation of Respiratory Motion of Lung Tumors With Implanted Fiducials and an External Surrogate. Adv Radiat Oncol 2022; 7:100885. [PMID: 35198837 PMCID: PMC8792087 DOI: 10.1016/j.adro.2021.100885] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2021] [Accepted: 12/14/2021] [Indexed: 12/25/2022] Open
Abstract
Purpose Our purpose was to assess the suitability of airway-implanted internal fiducial markers and an external surrogate of respiratory motion for motion management during radiation therapy of lung tumors. Methods and Materials We analyzed 4-dimensional computed tomography scans acquired during radiation therapy simulation for 28 patients with lung tumors who had anchored fiducial markers bronchoscopically implanted inside small airways in or near the tumor in a prospective trial. We used a linear mixed model to build population-based correlative models of tumor and surrogate motion. The first 24 of the 28 patients were used to build correlative models, and 4 of the 28 consecutive patients were excluded and used as an internal validation cohort. Of the 24 patients from the model building cohort, all were used for the models based on the internal fiducial. The external surrogate was completely visualized in 11 patients from the model building cohort, so only those were used for the models based on the external surrogate. Furthermore, we determined the predicted residual error sum of squares for our correlative models, which may serve as benchmarks for future research. Results The motion of the internal fiducials was significantly associated with the tumor motion in the anterior-posterior (P < .0001) and superior-inferior (SI) directions (P < .0001). We also observed a strong correlation of the external surrogate anterior-posterior motion to the tumor dominant SI motion (P < .0001). In the validation cohort, the internal fiducial SI motion was the only reliable predictor of lung tumor motion. Conclusions The internal fiducials appear to be more reliable predictors of lung tumor motion than the external surrogate. The suitability of such airway-implanted internal fiducial markers for advanced motion management techniques should be further investigated. Although the external surrogate seems to be less reliable, its wide availability and noninvasive application support its clinical utility, albeit the greater uncertainty will need to be compensated for.
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8
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Falcinelli L, Menichelli C, Casamassima F, Aristei C, Borghesi S, Ingrosso G, Draghini L, Tagliagambe A, Badellino S, di Monale E Bastia MB. Stereotactic radiotherapy for lung oligometastases. Rep Pract Oncol Radiother 2022; 27:23-31. [PMID: 35402023 PMCID: PMC8989443 DOI: 10.5603/rpor.a2022.0002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2021] [Accepted: 12/27/2021] [Indexed: 11/25/2022] Open
Abstract
30–60% of cancer patients develop lung metastases, mostly from primary tumors in the colon-rectum, lung, head and neck area, breast and kidney. Nowadays, stereotactic radiotherapy (SRT ) is considered the ideal modality for treating pulmonary metastases. When lung metastases are suspected, complete disease staging includes a total body computed tomography (CT ) and/or positron emission tomography-computed tomography (PET -CT ) scan. PET -CT has higher specificity and sensitivity than a CT scan when investigating mediastinal lymph nodes, diagnosing a solitary lung lesion and detecting distant metastases. For treatment planning, a multi-detector planning CT scan of the entire chest is usually performed, with or without intravenous contrast media or esophageal lumen opacification, especially when central lesions have to be irradiated. Respiratory management is recommended in lung SRT, taking the breath cycle into account in planning and delivery. For contouring, co-registration and/or matching planning CT and diagnostic images (as provided by contrast enhanced CT or PET-CT ) are useful, particularly for central tumors. Doses and fractionation schedules are heterogeneous, ranging from 33 to 60 Gy in 3–6 fractions. Independently of fractionation schedule, a BED10 > 100 Gy is recommended for high local control rates. Single fraction SRT (ranges 15–30 Gy) is occasionally administered, particularly for small lesions. SRT provides tumor control rates of up to 91% at 3 years, with limited toxicities. The present overview focuses on technical and clinical aspects related to treatment planning, dose constraints, outcome and toxicity of SRT for lung metastases.
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Affiliation(s)
- Lorenzo Falcinelli
- Radiation Oncology Section, University of Perugia and Perugia General Hospital, Italy
| | | | | | - Cynthia Aristei
- Radiation Oncology Section, University of Perugia and Perugia General Hospital, Italy
| | - Simona Borghesi
- Radiation Oncology Unit of Arezzo-Valdarno, Azienda USL Toscana Sud Est, Italy
| | - Gianluca Ingrosso
- Radiation Oncology Section, University of Perugia and Perugia General Hospital, Italy
| | | | | | - Serena Badellino
- Radiation Oncology Department, A.O.U. Città della Salute e della Scienza, Turin, Italy
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Prado A, Zucca D, De la Casa MÁ, Martí J, Alonso L, de Acilu PG, García J, Hernando O, Fernández-Letón P, Rubio C. Intrafraction target shift comparison using two breath-hold systems in lung stereotactic body radiotherapy. Phys Imaging Radiat Oncol 2022; 22:57-62. [PMID: 35514526 PMCID: PMC9065403 DOI: 10.1016/j.phro.2022.04.004] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Revised: 04/13/2022] [Accepted: 04/20/2022] [Indexed: 12/25/2022] Open
Abstract
Background and purpose In lung Stereotactic Body Radiotherapy (SBRT) respiratory management is used to reduce target motion due to respiration. This study aimed (1) to estimate intrafraction shifts through a Cone Beam Computed Tomography (CBCT) acquired during the first treatment arc when deep inspiration breath-hold (DIBH) was performed using spirometry-based (SB) or surface-guidance (SG) systems and (2) to analyze the obtained results depending on lesion localization. Material and methods A sample of 157 patients with 243 lesions was analyzed. A total of 860 and 410 fractions were treated using SB and SG. Averaged intrafraction shifts were estimated by the offsets obtained when registering a CBCT acquired during the first treatment arc with the planning CT. Offsets were recorded in superior-inferior (SI), left-right (LR) and anterior-posterior (AP). Significance tests were applied to account for differences in average offsets and variances between DIBH systems. Systematic and random errors were computed. Results Average offset moduli were 2.4 ± 2.2 mm and 3.5 ± 2.6 mm for SB and SG treatments (p < 0.001). When comparing SB and SG offset distributions in each direction no differences were found in average values (p > 0.3). However, variances were statistically smaller for SB than for SG (p < 0.001). The number of vector moduli offsets greater than 5 mm was 2.1 times higher for SG. Compared to other locations, lower lobe lesions moduli were at least 2.3 times higher. Conclusions Both systems were accuracy-equivalent but not precision-equivalent systems. Furthermore, the SB system was more precise than the SG one. Despite DIBH, patients with lower lobe lesions had larger offsets than superior lobe ones, mainly in SI.
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Affiliation(s)
- Alejandro Prado
- Medical Physics and Radiation Protection Department, HU HM Sanchinarro, HM Hospitales, c\ Oña n°10, 28050 Madrid, Spain
| | - Daniel Zucca
- Medical Physics and Radiation Protection Department, HU HM Sanchinarro, HM Hospitales, c\ Oña n°10, 28050 Madrid, Spain
| | - Miguel Ángel De la Casa
- Medical Physics and Radiation Protection Department, HU HM Sanchinarro, HM Hospitales, c\ Oña n°10, 28050 Madrid, Spain
| | - Jaime Martí
- Medical Physics and Radiation Protection Department, HU HM Sanchinarro, HM Hospitales, c\ Oña n°10, 28050 Madrid, Spain
| | - Leyre Alonso
- Medical Physics and Radiation Protection Department, HU HM Sanchinarro, HM Hospitales, c\ Oña n°10, 28050 Madrid, Spain
| | - Paz García de Acilu
- Medical Physics and Radiation Protection Department, HU HM Puerta del Sur, HM Hospitales, Av. Carlos V n° 70, 28938 Móstoles, Madrid, Spain
| | - Juan García
- Medical Physics and Radiation Protection Department, HU HM Puerta del Sur, HM Hospitales, Av. Carlos V n° 70, 28938 Móstoles, Madrid, Spain
| | - Ovidio Hernando
- Radiation Oncology Department, HU HM Puerta del Sur, HM Hospitales, Av. Carlos V n° 70, 28938 Móstoles, Madrid, Spain
| | - Pedro Fernández-Letón
- Medical Physics and Radiation Protection Department, HU HM Sanchinarro, HM Hospitales, c\ Oña n°10, 28050 Madrid, Spain
- Medical Physics and Radiation Protection Department, HU HM Puerta del Sur, HM Hospitales, Av. Carlos V n° 70, 28938 Móstoles, Madrid, Spain
| | - Carmen Rubio
- Radiation Oncology Department, HU HM Sanchinarro, HM Hospitales, c\ Oña n°10, 28050 Madrid, Spain
- Radiation Oncology Department, HU HM Puerta del Sur, HM Hospitales, Av. Carlos V n° 70, 28938 Móstoles, Madrid, Spain
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10
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Dong G, Zhang C, Deng L, Zhu Y, Dai J, Song L, Meng R, Niu T, Liang X, Xie Y. A deep unsupervised learning framework for the 4D CBCT artifact correction. Phys Med Biol 2022; 67. [DOI: 10.1088/1361-6560/ac55a5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Accepted: 02/16/2022] [Indexed: 11/11/2022]
Abstract
Abstract
Objective. Four-dimensional cone-beam computed tomography (4D CBCT) has unique advantages in moving target localization, tracking and therapeutic dose accumulation in adaptive radiotherapy. However, the severe fringe artifacts and noise degradation caused by 4D CBCT reconstruction restrict its clinical application. We propose a novel deep unsupervised learning model to generate the high-quality 4D CBCT from the poor-quality 4D CBCT. Approach. The proposed model uses a contrastive loss function to preserve the anatomical structure in the corrected image. To preserve the relationship between the input and output image, we use a multilayer, patch-based method rather than operate on entire images. Furthermore, we draw negatives from within the input 4D CBCT rather than from the rest of the dataset. Main results. The results showed that the streak and motion artifacts were significantly suppressed. The spatial resolution of the pulmonary vessels and microstructure were also improved. To demonstrate the results in the different directions, we make the animation to show the different views of the predicted correction image in the supplementary animation. Significance. The proposed method can be integrated into any 4D CBCT reconstruction method and maybe a practical way to enhance the image quality of the 4D CBCT.
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11
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Hu P, Li X, Liu W, Yan B, Xue X, Yang F, Ford JC, Portelance L, Yang Y. Dosimetry impact of gating latency in cine magnetic resonance image guided breath-hold pancreatic cancer radiotherapy. Phys Med Biol 2022; 67. [PMID: 35144247 DOI: 10.1088/1361-6560/ac53e0] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Accepted: 02/10/2022] [Indexed: 12/31/2022]
Abstract
Objective.We investigated dosimetry effect of gating latency in cine magnetic resonance image (cine MRI) guided breath-hold pancreatic cancer radiotherapy.Approach.The gating latency was calculated based on cine MRI obtained from 17 patients who received MRI guided radiotherapy. Because of the cine MRI-related latency, beam overshoot occurs when beam remains on while the tracking target already moves out of the target boundary. The number of beam on/off events was calculated from the cine MRI data. We generated both IMRT and VMAT plans for all 17 patients using 33 Gy prescription, and created motion plans by applying isocenter shift that corresponds to motion-induced tumor displacement. The GTV and PTV coverage and dose to nearby critical structures were compared between the motion and original plan to evaluate the dosimetry change caused by cine MRI latency.Main results.The time ratio of cine MRI imaging latency over the treatment duration is 6.6 ± 3.1%, the mean and median percentage of beam-on events <4 s are 67.0 ± 14.3% and 66.6%. When a gating boundary of 4 mm and a target-out threshold of 5% is used, there is no significant difference for GTV V33Gy between the motion and original plan (p = 0.861 and 0.397 for IMRT and VMAT planning techniques, respectively). However, the PTV V33Gy and stomach Dmax for the motion plans are significantly lower; duodenum V12.5 Gy and V18Gy are significantly higher when compared with the original plans, for both IMRT and VMAT planning techniques.Significance.The cine MRI gating latency can significantly decrease the dose delivered to the PTV, and increase the dose to the nearby critical structures. However, no significant difference is observed for the GTV coverage. The dosimetry impact can be mitigated by implementing additional beam-on control techniques which reduces unnecessary beam on events and/or by using faster cine MRI sequences which reduces the latency period.
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Affiliation(s)
- Panpan Hu
- Department of Engineering and Applied Physics, School of Physical Sciences, University of Science and Technology of China, Hefei, People's Republic of China.,Department of Radiation Oncology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, People's Republic of China
| | - Xiaoyang Li
- Department of Engineering and Applied Physics, School of Physical Sciences, University of Science and Technology of China, Hefei, People's Republic of China.,Department of Radiation Oncology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, People's Republic of China
| | - Wei Liu
- Department of Radiation Oncology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, People's Republic of China
| | - Bing Yan
- Department of Radiation Oncology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, People's Republic of China
| | - Xudong Xue
- Department of Radiation Oncology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, People's Republic of China.,Department of Radiation Oncology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China
| | - Fei Yang
- Department of Radiation Oncology, The Miller School of Medicine, University of Miami, Miami, United States of America
| | - John Chetley Ford
- Department of Radiation Oncology, The Miller School of Medicine, University of Miami, Miami, United States of America
| | - Lorraine Portelance
- Department of Radiation Oncology, The Miller School of Medicine, University of Miami, Miami, United States of America
| | - Yidong Yang
- Department of Engineering and Applied Physics, School of Physical Sciences, University of Science and Technology of China, Hefei, People's Republic of China.,Department of Radiation Oncology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, People's Republic of China.,Department of Radiation Oncology, The Miller School of Medicine, University of Miami, Miami, United States of America
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Mueller M, Booth J, Briggs A, Jayamanne D, Panettieri V, Senthi S, Shieh CC, Keall P. MArkerless image Guidance using Intrafraction Kilovoltage x-ray imaging (MAGIK): study protocol for a phase I interventional study for lung cancer radiotherapy. BMJ Open 2022; 12:e057135. [PMID: 35058267 PMCID: PMC8783817 DOI: 10.1136/bmjopen-2021-057135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
INTRODUCTION In radiotherapy, tumour tracking leads the radiation beam to accurately target the tumour while it moves in a complex and unpredictable way due to respiration. Several tumour tracking techniques require the implantation of fiducial markers around the tumour, a procedure that involves unnecessary risks and costs. Markerless tumour tracking (MTT) negates the need for implanted markers, potentially enabling accurate and optimal radiotherapy in a non-invasive way. METHODS AND ANALYSIS We will perform a phase I interventional trial called MArkerless image Guidance using Intrafraction Kilovoltage x-ray imaging (MAGIK) to investigate the technical feasibility of the MTT technology developed at the University of Sydney (sponsor). 30 participants will undergo the current standard of care lung stereotactic ablative radiation therapy, with the exception that kilovoltage X-ray images will be acquired continuously during treatment delivery to enable MTT. If MTT indicates that the mean lung tumour position has shifted >3 mm, a warning message will be displayed to indicate the need for a treatment intervention. The radiation therapist will then pause the treatment, shift the treatment couch to account for the shift in tumour position and resume the treatment. Participants will be implanted with fiducial markers, which act as the ground truth for evaluating the accuracy of MTT. MTT is considered feasible if the tracking accuracy is <3 mm in each dimension for >80% of the treatment time. ETHICS AND DISSEMINATION The MAGIK trial has received ethical approval from The Alfred Human Research Ethics Committee and has been registered with ClinicalTrials.gov with the Identifier: NCT04086082. Estimated time of first recruitment is early 2022. The study recruitment and data analysis phases will be performed concurrently. Treatment for all 30 participants is expected to be completed within 2 years and participant follow-up within a total duration of 7 years. Findings will be disseminated through peer-reviewed publications and conference presentations. TRIAL REGISTRATION NUMBER NCT04086082; Pre-result.
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Affiliation(s)
- Marco Mueller
- ACRF Image X Institute, The University of Sydney, Sydney, New South Wales, Australia
| | - Jeremy Booth
- Northern Sydney Cancer Centre, Royal North Shore Hospital, Sydney, New South Wales, Australia
| | - Adam Briggs
- Northern Sydney Cancer Centre, Royal North Shore Hospital, Sydney, New South Wales, Australia
| | - Dasantha Jayamanne
- Northern Sydney Cancer Centre, Royal North Shore Hospital, Sydney, New South Wales, Australia
| | | | - Sashendra Senthi
- Radiation Oncology, Alfred Health, Melbourne, Victoria, Australia
| | - Chun-Chien Shieh
- ACRF Image X Institute, The University of Sydney, Sydney, New South Wales, Australia
- Sydney Neuroimaging Analysis Centre, Sydney, New South Wales, Australia
| | - Paul Keall
- ACRF Image X Institute, The University of Sydney, Sydney, New South Wales, Australia
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Li F, Zhang T, Sun X, Qu Y, Cui Z, Zhang T, Li J. Evaluation of Lung Tumor Target Volume in a Large Sample: Target and Clinical Factors Influencing the Volume Derived From Four-Dimensional CT and Cone Beam CT. Front Oncol 2022; 11:717984. [PMID: 35127464 PMCID: PMC8811138 DOI: 10.3389/fonc.2021.717984] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Accepted: 12/28/2021] [Indexed: 11/30/2022] Open
Abstract
Background and Purpose This study aimed to systematically evaluate the influence of target-related and clinical factors on volume differences and the similarity of targets derived from four-dimensional computed tomography (4DCT) and cone beam computed tomography (CBCT) images in lung stereotactic body radiation therapy (SBRT). Materials and Methods 4DCT and CBCT image data of 210 tumors from 195 patients were analyzed. The internal gross target volume (IGTV) derived from the maximum intensity projection (MIP) of 4DCT (IGTV-MIP) and the IGTV from CBCT (IGTV-CBCT) were compared with the reference IGTV from 10 phases of 4DCT (IGTV-10). The target size, tumor motion, and the similarity between IGTVs were measured. The influence of target-related and clinical factors on the adequacy of IGTVs derived from 4DCT MIP and CBCT images was evaluated. Results The mean tumor motion amplitude in the 3D direction was 6.5 ± 5 mm. The mean size ratio of IGTV-CBCT and IGTV-MIP compared to IGTV-10 in all patients was 0.71 ± 0.21 and 0.8 ± 0.14, respectively. Female sex, greater BSA, and larger target size were protective factors, while the Karnofsky Performance Status, body mass index, and motion were risk factors for the similarity between IGTV-MIP and IGTV-10. Older age and larger target size were protective factors, while adhesion to the heart, coexistence with cardiopathy, and tumor motion were risk factors for the similarity between IGTV-CBCT and IGTV-10. Conclusion Clinical factors should be considered when using MIP images for defining ITV, and when using CBCT images for verifying treatment targets.
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Affiliation(s)
- Fengxiang Li
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Tingting Zhang
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Xin Sun
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Yanlin Qu
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Zhen Cui
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Tao Zhang
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Jianbin Li
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
- *Correspondence: Jianbin Li,
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Hwang JM, Hung JY, Chang YK, Chang SM, Wang YN, Lin CS, Chang CS. Dynamic hybrid-phase computed tomography simulation in lung stereotactic body radiotherapy: A feasibility study. Med Dosim 2022; 47:136-141. [PMID: 34987001 DOI: 10.1016/j.meddos.2021.11.004] [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: 09/29/2021] [Revised: 11/06/2021] [Accepted: 11/30/2021] [Indexed: 10/19/2022]
Abstract
To assess the feasibility of dynamic hybrid-phase computed tomography (CTDHP) simulation when patients undergo lung stereotactic body radiation therapy (SBRT). Eighteen non-small-cell lung-cancer patients were immobilised in a stereotactic body frame with abdominal compression. All underwent dynamic hybrid-phase CT scans that were compared with cone-beam CT (CBCT). We also determined the internal target volume (ITV) and evaluated the following four metrics: the "AND" function in the Boolean module of Eclipse, volume overlap (VO), Dice similarity coefficient (DSC), and dose-volume histogram. The average ITV values of 4DCTDHP and 3D-CBCT were respectively 12.82±10.42 and 14.6±12.18 cm3 (n=72, p<0.001), and the average ITV value of AND was 11.7±10.1 cm3. The average planning target volume (PTV) of 4DCTDHP and 3D-CBCT was 25.63±18.04 and 28.00±19.82 cm3 (n=72, p<0.001). The median AND difference between ITV and PTV was significant (p<0.01) and had a significantly linear distribution (R2=0.991 for ITV, R2=0.972 for PTV). The average VO of PTV was greater than that of ITV (0.81±0.096; 0.78±0.11). We also observed that the average DSC in PTV (0.83±0.066) was greater than that in ITV (0.81±0.084). The average results indicated that 97.9%±3.44 of ITVCBCT was covered by 95% of the prescribed dose. The average minimum, maximum and mean percentage doses of ITVCBCT were 87.9%±9.46, 107.3%±1.57, and 101.3%±1.12, respectively. This paper has demonstrated that dynamic hybrid-phase CT simulation for patients undergoing lung SBRT and also published evaluation metrics in scientific analysis. Our approach also has the advantage of adequate margin and fewer phases in CT simulation.
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Affiliation(s)
- Jing-Min Hwang
- Department of Radiation Oncology, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Taipei, Taiwan; College of Medicine, Tzu Chi University, Hualien City, Taiwan
| | - Jing-Yin Hung
- Department of Radiation Oncology, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Taipei, Taiwan
| | - You-Kang Chang
- Department of Radiation Oncology, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Taipei, Taiwan; College of Medicine, Tzu Chi University, Hualien City, Taiwan
| | - Shih-Miao Chang
- Department of Radiation Oncology, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Taipei, Taiwan
| | - Yu-Nong Wang
- Department of Radiation Oncology, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Taipei, Taiwan
| | - Chun-Shu Lin
- Department of Radiation Oncology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
| | - Chiou-Shiung Chang
- Department of Radiation Oncology, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Taipei, Taiwan; Department of Radiation Oncology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
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Lena K, Yasser AM, Lena H, Manon S, Kerstin S, Marie-Kristin S, Michael E, Stieler F, Sven C, Lohr F, Jens F, Judit BH. Motion management in a patient with tracheostomy during lung-SBRT - Breath-hold is worth a try! Adv Radiat Oncol 2022; 7:100895. [PMID: 35198840 PMCID: PMC8850202 DOI: 10.1016/j.adro.2022.100895] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2021] [Accepted: 01/06/2022] [Indexed: 11/18/2022] Open
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Sharma M, Nano TF, Akkati M, Milano MT, Morin O, Feng M. A systematic review and meta-analysis of liver tumor position variability during SBRT using various motion management and IGRT strategies. Radiother Oncol 2021; 166:195-202. [PMID: 34843841 DOI: 10.1016/j.radonc.2021.11.022] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Revised: 11/17/2021] [Accepted: 11/21/2021] [Indexed: 12/25/2022]
Abstract
PURPOSE To suggest PTV margins for liver SBRT with different motion management strategies based on a systematic review and meta-analysis. METHODS In accordance with Preferred-Reporting-Items-for-Systematic-Reviews-and-Meta-Analyses (PRISMA), a systematic review in PubMed, Embase and Medline databases was performed for liver tumor position variability. From an initial 533 studies published before October 2020, 36 studies were categorized as 18 free-breathing (FB; npatients = 401), 9 abdominal compression (AC; npatients = 145) and 9 breath-hold (BH; npatients = 126). A meta-analysis was performed on inter- and intra-fraction position variability to report weighted-mean with 95% confidence interval (CI95) in superior-inferior (SI), left-right (LR) and anterior-posterior (AP) directions. Furthermore, weighted-mean ITV margins were computed for FB (nstudies = 15, npatients = 373) and AC (nstudies = 6, npatients = 97) and PTV margins were computed for FB (nstudies = 6, npatients = 95), AC (nstudies = 7, npatients = 106) and BH (nstudies = 8, npatients = 133). RESULTS The FB weighted-mean intra-fraction variability, ITV margins and weighted-standard-deviation in mm were SI-9.7, CI95 = 9.3-10.1, 13.5 ± 4.9; LR-5.4, CI95 = 5.3-5.6, 7.3 ± 7.9; and AP-4.2, CI95 = 4.0-4.4, 6.3 ± 7.6. The inter-fraction-based results were SI-4.7, CI95 = 4.3-5.1, 5.7 ± 1.7; LR-1.4, CI95 = 1.1-1.6, 3.6 ± 2.7; and AP-2.8, CI95 = 2.5-3.1, 4.8 ± 2.1. For AC intra-fraction results in mm were SI-1.8, CI95 = 1.6-2.0, 2.6 ± 1.2; LR-0.7, CI95 = 0.6-0.8, 1.7 ± 1.5; and AP-0.9, CI95 = 0.8-1.0, 1.9 ± 1.7. The inter-fraction results were SI-2.6, CI95 = 2.3-3.0, 5.2 ± 2.9; LR-1.9, CI95 = 1.7-2.1, 4.0 ± 2.2; and AP-2.9, CI95 = 2.5-3.2, 5.8 ± 2.7. For BH the inter-fraction variability, and the weighted-mean PTV margins and weighted-standard-deviation in mm were SI-2.4, CI95 = 2.1-2.7, 5.6 ± 2.9; LR-1.8, CI95 = 1.3-2.2, 5.5 ± 1.7; and AP-1.4; CI95 = 1.2-1.7, 6.1 ± 2.1. CONCLUSION Our meta-analysis suggests a symmetric weighted-mean PTV margin of 6 mm might be appropriate for BH. For AC and FB, asymmetric PTV margins (weighted-mean margin of 4 mm (AP), 6 mm (SI/LR)) might be appropriate. For FB, if larger (>ITV margin) intra-fraction variability observed, the additional intra- and inter-fraction variability should be accounted in the PTV margin.
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Affiliation(s)
- Manju Sharma
- University of California, San Francisco, United States.
| | - Tomi F Nano
- University of California, San Francisco, United States
| | | | | | - Olivier Morin
- University of California, San Francisco, United States
| | - Mary Feng
- University of California, San Francisco, United States
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Li F, Qu Y, Zhang T, Cui Z, Sun X, Zhang T, Li J. Evaluation of lung tumor motion in a large sample: Target-related and clinical factors influencing tumor motion based on four-dimensional CT. Cancer Med 2021; 10:7126-7135. [PMID: 34519169 PMCID: PMC8525155 DOI: 10.1002/cam4.4255] [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: 07/23/2021] [Revised: 08/05/2021] [Accepted: 08/18/2021] [Indexed: 12/25/2022] Open
Abstract
Background and purpose We aimed to analyze the influence of target‐related and clinical factors on lung tumor motion based on four‐dimensional CT (4DCT), and clarify the motion based on subgroups in lung stereotactic body radiation therapy. Materials and methods 4DCT image data of 267 tumors from 246 patients were analyzed. The coordinates in the left–right (LR), anterior–posterior (AP), and cranial–caudal (CC) directions of the center of mass (COM) of the gross tumor volumes in 10 phases of 4DCT were measured. The peak‐to‐peak COM displacement in the LR, AP, CC, and 3D directions was calculated. The influence of target‐related and clinical factors on tumor motion was evaluated using multivariate analysis. Results The tumor segment location correlated with the tumor motion in each direction. Tumor size was predictive of tumor motion in the 3D (p = 0.023) and AP directions (p = 0.049). The tumor motion for metastatic tumors was smaller than that for primary tumors in the LR (p = 0.019) and AP directions (p = 0.008). The CC motion for pulmonary surgery recipients (3.8 ± 4.5 mm) was less than that for patients who had not undergone surgery (5.6 ± 5.4 mm), and no significant clinical factor was observed. BSA and BMI were positively correlated with the motion in the CC (p = 0.02) and LR directions (p = 0.002). Conclusion The tumor segment location was a good predictor of tumor motion. A larger tumor tends to have a smaller motion. Patients with metastatic tumors or those who have undergone pulmonary surgery exhibited smaller and more unpredictable tumor motions, which required individual assessments. Thus, clinical factors can potentially predict tumor motion.
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Affiliation(s)
- Fengxiang Li
- Cheeloo College of Medicine, Shandong University, Jinan, China.,Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Yanlin Qu
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China.,Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Tingting Zhang
- Cheeloo College of Medicine, Shandong University, Jinan, China.,Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Zhen Cui
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Xin Sun
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Tao Zhang
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China.,Institute for Medical Dataology, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Jianbin Li
- Cheeloo College of Medicine, Shandong University, Jinan, China.,Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
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Gutiérrez E, Sánchez I, Díaz O, Valles A, Balderrama R, Fuentes J, Lara B, Olimón C, Ruiz V, Rodríguez J, Bayardo LH, Chan M, Villafuerte CJ, Padayachee J, Sun A. Current Evidence for Stereotactic Body Radiotherapy in Lung Metastases. ACTA ACUST UNITED AC 2021; 28:2560-2578. [PMID: 34287274 PMCID: PMC8293144 DOI: 10.3390/curroncol28040233] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Revised: 07/05/2021] [Accepted: 07/06/2021] [Indexed: 12/25/2022]
Abstract
Lung metastases are the second most common malignant neoplasms of the lung. It is estimated that 20–54% of cancer patients have lung metastases at some point during their disease course, and at least 50% of cancer-related deaths occur at this stage. Lung metastases are widely accepted to be oligometastatic when five lesions or less occur separately in up to three organs. Stereotactic body radiation therapy (SBRT) is a noninvasive, safe, and effective treatment for metastatic lung disease in carefully selected patients. There is no current consensus on the ideal dose and fractionation for SBRT in lung metastases, and it is the subject of study in ongoing clinical trials, which examines different locations in the lung (central and peripheral). This review discusses current indications, fractionations, challenges, and technical requirements for lung SBRT.
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Affiliation(s)
- Enrique Gutiérrez
- Princess Margaret Cancer Centre, Radiation Medicine Program, University Health Network, Toronto, ON M5G2M9, Canada; (E.G.); (M.C.); (C.J.V.); (J.P.)
- Department of Radiation Oncology, University of Toronto, Toronto, ON M5G2M9, Canada
| | - Irving Sánchez
- Western National Medical Center, Department of Radiation Oncology, Mexican Institute of Social Security (IMSS), Belisario Domínguez 1000, Guadalajara 44340, Jalisco, Mexico; (I.S.); (O.D.); (A.V.); (R.B.); (J.F.); (B.L.); (C.O.); (V.R.); (J.R.); (L.H.B.)
| | - Omar Díaz
- Western National Medical Center, Department of Radiation Oncology, Mexican Institute of Social Security (IMSS), Belisario Domínguez 1000, Guadalajara 44340, Jalisco, Mexico; (I.S.); (O.D.); (A.V.); (R.B.); (J.F.); (B.L.); (C.O.); (V.R.); (J.R.); (L.H.B.)
| | - Adrián Valles
- Western National Medical Center, Department of Radiation Oncology, Mexican Institute of Social Security (IMSS), Belisario Domínguez 1000, Guadalajara 44340, Jalisco, Mexico; (I.S.); (O.D.); (A.V.); (R.B.); (J.F.); (B.L.); (C.O.); (V.R.); (J.R.); (L.H.B.)
| | - Ricardo Balderrama
- Western National Medical Center, Department of Radiation Oncology, Mexican Institute of Social Security (IMSS), Belisario Domínguez 1000, Guadalajara 44340, Jalisco, Mexico; (I.S.); (O.D.); (A.V.); (R.B.); (J.F.); (B.L.); (C.O.); (V.R.); (J.R.); (L.H.B.)
| | - Jesús Fuentes
- Western National Medical Center, Department of Radiation Oncology, Mexican Institute of Social Security (IMSS), Belisario Domínguez 1000, Guadalajara 44340, Jalisco, Mexico; (I.S.); (O.D.); (A.V.); (R.B.); (J.F.); (B.L.); (C.O.); (V.R.); (J.R.); (L.H.B.)
| | - Brenda Lara
- Western National Medical Center, Department of Radiation Oncology, Mexican Institute of Social Security (IMSS), Belisario Domínguez 1000, Guadalajara 44340, Jalisco, Mexico; (I.S.); (O.D.); (A.V.); (R.B.); (J.F.); (B.L.); (C.O.); (V.R.); (J.R.); (L.H.B.)
| | - Cipatli Olimón
- Western National Medical Center, Department of Radiation Oncology, Mexican Institute of Social Security (IMSS), Belisario Domínguez 1000, Guadalajara 44340, Jalisco, Mexico; (I.S.); (O.D.); (A.V.); (R.B.); (J.F.); (B.L.); (C.O.); (V.R.); (J.R.); (L.H.B.)
| | - Víctor Ruiz
- Western National Medical Center, Department of Radiation Oncology, Mexican Institute of Social Security (IMSS), Belisario Domínguez 1000, Guadalajara 44340, Jalisco, Mexico; (I.S.); (O.D.); (A.V.); (R.B.); (J.F.); (B.L.); (C.O.); (V.R.); (J.R.); (L.H.B.)
| | - José Rodríguez
- Western National Medical Center, Department of Radiation Oncology, Mexican Institute of Social Security (IMSS), Belisario Domínguez 1000, Guadalajara 44340, Jalisco, Mexico; (I.S.); (O.D.); (A.V.); (R.B.); (J.F.); (B.L.); (C.O.); (V.R.); (J.R.); (L.H.B.)
| | - Luis H. Bayardo
- Western National Medical Center, Department of Radiation Oncology, Mexican Institute of Social Security (IMSS), Belisario Domínguez 1000, Guadalajara 44340, Jalisco, Mexico; (I.S.); (O.D.); (A.V.); (R.B.); (J.F.); (B.L.); (C.O.); (V.R.); (J.R.); (L.H.B.)
| | - Matthew Chan
- Princess Margaret Cancer Centre, Radiation Medicine Program, University Health Network, Toronto, ON M5G2M9, Canada; (E.G.); (M.C.); (C.J.V.); (J.P.)
- Department of Radiation Oncology, University of Toronto, Toronto, ON M5G2M9, Canada
| | - Conrad J. Villafuerte
- Princess Margaret Cancer Centre, Radiation Medicine Program, University Health Network, Toronto, ON M5G2M9, Canada; (E.G.); (M.C.); (C.J.V.); (J.P.)
- Department of Radiation Oncology, University of Toronto, Toronto, ON M5G2M9, Canada
| | - Jerusha Padayachee
- Princess Margaret Cancer Centre, Radiation Medicine Program, University Health Network, Toronto, ON M5G2M9, Canada; (E.G.); (M.C.); (C.J.V.); (J.P.)
- Department of Radiation Oncology, University of Toronto, Toronto, ON M5G2M9, Canada
| | - Alexander Sun
- Princess Margaret Cancer Centre, Radiation Medicine Program, University Health Network, Toronto, ON M5G2M9, Canada; (E.G.); (M.C.); (C.J.V.); (J.P.)
- Department of Radiation Oncology, University of Toronto, Toronto, ON M5G2M9, Canada
- Correspondence: ; Tel.: +1-41-6946-2853
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de Bruin K, Dahele M, Mostafavi H, Slotman BJ, Verbakel WF. Markerless Real-Time 3-Dimensional kV Tracking of Lung Tumors During Free Breathing Stereotactic Radiation Therapy. Adv Radiat Oncol 2021; 6:100705. [PMID: 34113742 PMCID: PMC8170355 DOI: 10.1016/j.adro.2021.100705] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2020] [Revised: 03/04/2021] [Accepted: 03/30/2021] [Indexed: 11/30/2022] Open
Abstract
Purpose Accurate verification of tumor position during irradiation could reduce the probability of target miss. We investigated whether a commercial gantry-mounted 2-dimensional (2D) kilo-voltage (kV) imaging system could be used for real-time 3D tumor tracking during volumetric modulated arc therapy (VMAT) lung stereotactic body radiation therapy (SBRT). Markerless tumor tracking on kV fluoroscopic images was validated using a life-like moving thorax phantom and subsequently performed on kV images continuously acquired before and during free-breathing VMAT lung SBRT. Methods and Materials The 3D-printed/molded phantom containing 3 lung tumors was moved in 3D in TrueBeam developer mode, using simulated regular/irregular breathing patterns. Planar kV images were acquired at 7 frames/s during 11 Gy/fraction 10 MV flattening filter free VMAT. 2D reference templates were created for each gantry angle using the planning 4D computed tomography inspiration phase. kV images and templates were matched using normalized cross correlation to determine 2D tumor position, and triangulation of 2D matched projections determined the third dimension. 3D target tracking performed on cone beam computed tomography projection data from 18 patients (20 tumors) and real-time online tracking data from 2 of the 18 patients who underwent free-breathing VMAT lung SBRT are presented. Results For target 1 and 2 of the phantom (upper lung and middle/medial lung, mean density –130 Hounsfield units), 3D results within 2 mm of the known position were present in 92% and 96% of the kV projections, respectively. For target 3 (inferior lung, mean density –478 Hounsfield units) this dropped to 80%. Benchmarking against the respiratory signal, 13/20 (65%) tumors (10.5 ± 11.1 cm3) were considered successfully tracked on the cone beam computed tomography data. Tracking was less successful (≤50% of the time) in 7/20 (1.2 ± 1.5 cm3). Successful online tracking during lung SBRT was demonstrated. Conclusions 3D markerless tumor tracking on a standard linear accelerator using template matching and triangulation of free-breathing kV fluoroscopic images was possible in 65% of small lung tumors. The smallest tumors were most challenging.
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Affiliation(s)
- Kimmie de Bruin
- Department of Radiation Oncology, Amsterdam UMC, Vrije Universiteit Amsterdam, Cancer Center Amsterdam, Amsterdam, the Netherlands
| | - Max Dahele
- Department of Radiation Oncology, Amsterdam UMC, Vrije Universiteit Amsterdam, Cancer Center Amsterdam, Amsterdam, the Netherlands
| | | | - Berend J. Slotman
- Department of Radiation Oncology, Amsterdam UMC, Vrije Universiteit Amsterdam, Cancer Center Amsterdam, Amsterdam, the Netherlands
| | - Wilko F.A.R. Verbakel
- Department of Radiation Oncology, Amsterdam UMC, Vrije Universiteit Amsterdam, Cancer Center Amsterdam, Amsterdam, the Netherlands
- Corresponding author: Wilko F.A.R. Verbakel, PhD, PDEng
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Jiang Z, Yin FF, Ge Y, Ren L. Enhancing digital tomosynthesis (DTS) for lung radiotherapy guidance using patient-specific deep learning model. Phys Med Biol 2021; 66:035009. [PMID: 33238249 DOI: 10.1088/1361-6560/abcde8] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Digital tomosynthesis (DTS) has been proposed as a fast low-dose imaging technique for image-guided radiation therapy (IGRT). However, due to the limited scanning angle, DTS reconstructed by the conventional FDK method suffers from significant distortions and poor plane-to-plane resolutions without full volumetric information, which severely limits its capability for image guidance. Although existing deep learning-based methods showed feasibilities in restoring volumetric information in DTS, they ignored the inter-patient variabilities by training the model using group patients. Consequently, the restored images still suffered from blurred and inaccurate edges. In this study, we presented a DTS enhancement method based on a patient-specific deep learning model to recover the volumetric information in DTS images. The main idea is to use the patient-specific prior knowledge to train the model to learn the patient-specific correlation between DTS and the ground truth volumetric images. To validate the performance of the proposed method, we enrolled both simulated and real on-board projections from lung cancer patient data. Results demonstrated the benefits of the proposed method: (1) qualitatively, DTS enhanced by the proposed method shows CT-like high image quality with accurate and clear edges; (2) quantitatively, the enhanced DTS has low-intensity errors and high structural similarity with respect to the ground truth CT images; (3) in the tumor localization study, compared to the ground truth CT-CBCT registration, the enhanced DTS shows 3D localization errors of ≤0.7 mm and ≤1.6 mm for studies using simulated and real projections, respectively; and (4), the DTS enhancement is nearly real-time. Overall, the proposed method is effective and efficient in enhancing DTS to make it a valuable tool for IGRT applications.
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Affiliation(s)
- Zhuoran Jiang
- School of Electronic Science and Engineering, Nanjing University, 163 Xianlin Road, Nanjing, Jiangsu, 210046, People's Republic of China.,Department of Radiation Oncology, Duke University Medical Center, DUMC Box 3295, Durham, NC 27710, United States of America
| | - Fang-Fang Yin
- Department of Radiation Oncology, Duke University Medical Center, DUMC Box 3295, Durham, NC 27710, United States of America.,Medical Physics Graduate Program, Duke University, 2424 Erwin Road Suite 101, Durham, NC 27705, United States of America.,Medical Physics Graduate Program, Duke Kunshan University, Kunshan, Jiangsu, 215316, People's Republic of China
| | - Yun Ge
- School of Electronic Science and Engineering, Nanjing University, 163 Xianlin Road, Nanjing, Jiangsu, 210046, People's Republic of China
| | - Lei Ren
- Department of Radiation Oncology, Duke University Medical Center, DUMC Box 3295, Durham, NC 27710, United States of America.,Medical Physics Graduate Program, Duke University, 2424 Erwin Road Suite 101, Durham, NC 27705, United States of America
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21
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Lei Y, Tian Z, Wang T, Higgins K, Bradley JD, Curran WJ, Liu T, Yang X. Deep learning-based real-time volumetric imaging for lung stereotactic body radiation therapy: a proof of concept study. Phys Med Biol 2020; 65:235003. [PMID: 33080578 DOI: 10.1088/1361-6560/abc303] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Due to the inter- and intra- variation of respiratory motion, it is highly desired to provide real-time volumetric images during the treatment delivery of lung stereotactic body radiation therapy (SBRT) for accurate and active motion management. In this proof-of-concept study, we propose a novel generative adversarial network integrated with perceptual supervision to derive instantaneous volumetric images from a single 2D projection. Our proposed network, named TransNet, consists of three modules, i.e. encoding, transformation and decoding modules. Rather than only using image distance loss between the generated 3D images and the ground truth 3D CT images to supervise the network, perceptual loss in feature space is integrated into loss function to force the TransNet to yield accurate lung boundary. Adversarial supervision is also used to improve the realism of generated 3D images. We conducted a simulation study on 20 patient cases, who had received lung SBRT treatments in our institution and undergone 4D-CT simulation, and evaluated the efficacy and robustness of our method for four different projection angles, i.e. 0°, 30°, 60° and 90°. For each 3D CT image set of a breathing phase, we simulated its 2D projections at these angles. For each projection angle, a patient's 3D CT images of 9 phases and the corresponding 2D projection data were used to train our network for that specific patient, with the remaining phase used for testing. The mean absolute error of the 3D images obtained by our method are 99.3 ± 14.1 HU. The peak signal-to-noise ratio and structural similarity index metric within the tumor region of interest are 15.4 ± 2.5 dB and 0.839 ± 0.090, respectively. The center of mass distance between the manual tumor contours on the 3D images obtained by our method and the manual tumor contours on the corresponding 3D phase CT images are within 2.6 mm, with a mean value of 1.26 mm averaged over all the cases. Our method has also been validated in a simulated challenging scenario with increased respiratory motion amplitude and tumor shrinkage, and achieved acceptable results. Our experimental results demonstrate the feasibility and efficacy of our 2D-to-3D method for lung cancer patients, which provides a potential solution for in-treatment real-time on-board volumetric imaging for tumor tracking and dose delivery verification to ensure the effectiveness of lung SBRT treatment.
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Affiliation(s)
- Yang Lei
- Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA, 30322, United States of America. Co-first author
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22
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Koiwai K, Endo Y, Mizuhata K, Ina H, Fukazawa A, Ozawa T, Fujinaga Y. Ten-Year Experience of Stereotactic Body Radiotherapy at a Single Institution: Impact of Technological Development on the Outcome of Patients With Early Lung Cancer. Technol Cancer Res Treat 2020; 19:1533033820979163. [PMID: 33267715 PMCID: PMC7720300 DOI: 10.1177/1533033820979163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Purpose: Advanced radiotherapeutic techniques and apparatus have been developed and widely applied in stereotactic body radiation therapy for early-stage non-small cell lung cancer, but their clinical benefits have not necessarily been confirmed. This study was performed to review our 10-year experience with therapy for the disease and to evaluate whether the advanced radiotherapeutic system implemented in our hospital 5 years after we began the therapy improved the clinical outcomes of patients. Materials and Methods: Patients who underwent the therapy at our hospital between April 2008 and March 2018 were retrospectively reviewed. They were divided into 2 groups treated with the conventional system or the advanced system, and the characteristics and clinical outcomes were compared between the groups. The same analyses were also performed in propensity-matched patients from the 2 groups. Results: Among the 73 patients eligible for this study, 42 were treated with the conventional system and 31 with the advanced system. All were treated as planned, and severe adverse events were rare. The local progression-free survival rate in the advanced system group was significantly higher than in the conventional system group (P = 0.025). In the propensity-matched patients, both the local progression-free survival rate and the overall survival rate were significantly higher compared in the advanced system group than the conventional system group (P = 0.089 and 0.080, respectively). Conclusion: The advanced system improved the outcomes of patients with the disease, suggesting that technological development has had a strong impact on clinical outcomes.
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Affiliation(s)
- Keiichiro Koiwai
- Department of Radiology, 34808Shinshu University, School of Medicine, Matsumoto, Japan
| | - Yuuki Endo
- Department of Radiology, 34808Shinshu University, School of Medicine, Matsumoto, Japan
| | - Kai Mizuhata
- Department of Radiology, 34808Shinshu University, School of Medicine, Matsumoto, Japan
| | - Hironobu Ina
- Department of Radiology, 34808Shinshu University, School of Medicine, Matsumoto, Japan
| | - Ayumu Fukazawa
- Department of Radiology, 34808Shinshu University, School of Medicine, Matsumoto, Japan
| | - Takesumi Ozawa
- Department of Radiology, 34808Shinshu University, School of Medicine, Matsumoto, Japan
| | - Yasunari Fujinaga
- Department of Radiology, 34808Shinshu University, School of Medicine, Matsumoto, Japan
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23
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Mielgo-Rubio X, Calvo V, Luna J, Remon J, Martín M, Berraondo P, Jarabo JR, Higuera O, Conde E, De Castro J, Provencio M, Hernando Trancho F, López-Ríos F, Couñago F. Immunotherapy Moves to the Early-Stage Setting in Non-Small Cell Lung Cancer: Emerging Evidence and the Role of Biomarkers. Cancers (Basel) 2020; 12:E3459. [PMID: 33233705 PMCID: PMC7699975 DOI: 10.3390/cancers12113459] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2020] [Revised: 11/15/2020] [Accepted: 11/17/2020] [Indexed: 12/24/2022] Open
Abstract
Despite numerous advances in targeted therapy and immunotherapy in the last decade, lung cancer continues to present the highest mortality rate of all cancers. Targeted therapy based on specific genomic alterations, together with PD-1 and CTLA-4 axis blocking-based immunotherapy, have significantly improved survival in advanced non-small cell lung cancer (NSCLC) and both therapies are now well-established in this clinical setting. However, it is time for immunotherapy to be applied in patients with early-stage disease, which would be an important qualitative leap in the treatment of lung cancer patients with curative intent. Preliminary data from a multitude of studies are highly promising, but therapeutic decision-making should be guided by an understanding of the molecular features of the tumour and host. In the present review, we discuss the most recently published studies and ongoing clinical trials, controversies, future challenges and the role of biomarkers in the selection of best therapeutic options.
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Affiliation(s)
- Xabier Mielgo-Rubio
- Department of Medical Oncology, Hospital Universitario Fundación Alcorcón, Budapest 1 Alcorcón, 28922 Madrid, Spain
| | - Virginia Calvo
- Department of Medical Oncology, Puerta de Hierro Hospital, Joaquín Rodrigo 1, Majadahonda, 28222 Madrid, Spain; (V.C.); (M.P.)
| | - Javier Luna
- Department of Radiation Oncology, Fundacion Jimenez Diaz, Oncohealth Institute, Avda. Reyes Católicos 2, 28040 Madrid, Spain;
| | - Jordi Remon
- Department of Medical Oncology, Centro Integral Oncológico Clara Campal (HM-CIOCC), Hospital HM Delfos, HM Hospitales, 08023 Barcelona, Spain;
| | - Margarita Martín
- Department of Radiation Oncology, Ramón y Cajal University Hospital, M-607, 100, 28034 Madrid, Spain;
| | - Pedro Berraondo
- Division of Immunology and Immunotherapy, Cima Universidad de Navarra and Instituto de Investigacion Sanitaria de Navarra (IdISNA), 31008 Pamplona, Spain;
| | - José Ramón Jarabo
- Department of Thoracic Surgery, Hospital Clínico San Carlos, Calle del Prof Martín Lagos, s/n, 28040 Madrid, Spain; (J.R.J.); (F.H.T.)
| | - Oliver Higuera
- Department of Medical Oncology, Hospital Universitario La Paz, Paseo de la Castellana 261, 28046 Madrid, Spain; (O.H.); (J.D.C.)
| | - Esther Conde
- Pathology-Targeted Therapies Laboratory, HM Hospitales, 28015 Madrid, Spain; (E.C.); (F.L.-R.)
| | - Javier De Castro
- Department of Medical Oncology, Hospital Universitario La Paz, Paseo de la Castellana 261, 28046 Madrid, Spain; (O.H.); (J.D.C.)
| | - Mariano Provencio
- Department of Medical Oncology, Puerta de Hierro Hospital, Joaquín Rodrigo 1, Majadahonda, 28222 Madrid, Spain; (V.C.); (M.P.)
| | - Florentino Hernando Trancho
- Department of Thoracic Surgery, Hospital Clínico San Carlos, Calle del Prof Martín Lagos, s/n, 28040 Madrid, Spain; (J.R.J.); (F.H.T.)
| | - Fernando López-Ríos
- Pathology-Targeted Therapies Laboratory, HM Hospitales, 28015 Madrid, Spain; (E.C.); (F.L.-R.)
| | - Felipe Couñago
- Department of Radiation Oncology, Hospital Universitario Quirónsalud Madrid, Pozuelo de Alarcón, 28223 Madrid, Spain;
- Department of Radiation Oncology, Hospital La Luz, 28003 Madrid, Spain
- Department of Radiation Oncology, Universidad Europea de Madrid, Villaviciosa de Odón, 28670 Madrid, Spain
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24
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Miura H, Ozawa S, Doi Y, Nakao M, Kubo K, Kenjo M, Nagata Y. Effectiveness of robust optimization in volumetric modulated arc therapy using 6 and 10 MV flattening filter-free beam therapy planning for lung stereotactic body radiation therapy with a breath-hold technique. JOURNAL OF RADIATION RESEARCH 2020; 61:575-585. [PMID: 32367109 PMCID: PMC7336549 DOI: 10.1093/jrr/rraa026] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/27/2019] [Revised: 01/27/2020] [Indexed: 06/11/2023]
Abstract
We investigated the feasibility of a robust optimization with 6 MV X-ray (6X) and 10 MV X-ray (10X) flattening filter-free (FFF) beams in a volumetric modulated arc therapy (VMAT) plan for lung stereotactic body radiation therapy (SBRT) using a breath-holding technique. Ten lung cancer patients were selected. Four VMAT plans were generated for each patient; namely, an optimized plan based on the planning target volume (PTV) margin and a second plan based on a robust optimization of the internal target volume (ITV) with setup uncertainties, each for the 6X- and 10X-FFF beams. Both optimized plans were normalized by the percentage of the prescription dose covering 95% of the target volume (D95%) to the PTV (1050 cGy × 4 fractions). All optimized plans were evaluated using perturbed doses by specifying user-defined shifted values from the isocentre. The average perturbed D99% doses to the ITV, compared to the nominal plan, decreased by 369.1 (6X-FFF) and 301.0 cGy (10X-FFF) for the PTV-based optimized plan, and 346.0 (6X-FFF) and 271.6 cGy (10X-FFF) for the robust optimized plan, respectively. The standard deviation of the D99% dose to the ITV were 163.6 (6X-FFF) and 158.9 cGy (10X-FFF) for the PTV-based plan, and 138.9 (6X-FFF) and 128.5 cGy (10X-FFF) for the robust optimized plan, respectively. Robust optimized plans with 10X-FFF beams is a feasible method to achieve dose certainty for the ITV for lung SBRT using a breath-holding technique.
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Affiliation(s)
- Hideharu Miura
- Hiroshima High-Precision Radiotherapy Cancer Center
- Department of Radiation Oncology, Institute of Biomedical & Health Sciences, Hiroshima University
| | - Shuichi Ozawa
- Hiroshima High-Precision Radiotherapy Cancer Center
- Department of Radiation Oncology, Institute of Biomedical & Health Sciences, Hiroshima University
| | - Yoshiko Doi
- Hiroshima High-Precision Radiotherapy Cancer Center
- Department of Radiation Oncology, Institute of Biomedical & Health Sciences, Hiroshima University
| | - Minoru Nakao
- Hiroshima High-Precision Radiotherapy Cancer Center
- Department of Radiation Oncology, Institute of Biomedical & Health Sciences, Hiroshima University
| | | | - Masahiko Kenjo
- Hiroshima High-Precision Radiotherapy Cancer Center
- Department of Radiation Oncology, Institute of Biomedical & Health Sciences, Hiroshima University
| | - Yasushi Nagata
- Hiroshima High-Precision Radiotherapy Cancer Center
- Department of Radiation Oncology, Institute of Biomedical & Health Sciences, Hiroshima University
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Comparison of different methods for lung immobilization in an animal model. Radiother Oncol 2020; 150:151-158. [PMID: 32580000 DOI: 10.1016/j.radonc.2020.06.024] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2020] [Revised: 05/28/2020] [Accepted: 06/17/2020] [Indexed: 12/25/2022]
Abstract
BACKGROUND AND PURPOSE Respiratory-induced motion introduces uncertainties in the delivery of dose in radiotherapy treatments. Various methods are used clinically, e.g. breath-holding, while there is limited experience with other methods such as apneic oxygenation and high frequency jet ventilation (HFJV). This study aims to compare the latter approaches for lung immobilization and their clinical impact on gas exchange in an animal model. MATERIALS AND METHODS Two radiopaque tumor surrogate markers (TSM) were placed in the central (cTSM) and peripheral (dTSM) regions of the lungs in 9 anesthetized and muscle relaxed pigs undergoing 3 ventilatory interventions (1) HFJV at rates of 200 (JV200), 300 (JV300) and 400 (JV400) min-1; (2) apnea at continuous positive airway pressure (CPAP) levels of 0, 8 and 16 cmH2O; (3) conventional mechanical ventilation (CMV) as reference mode. cTSM and dTSM were visualized using fluoroscopy and their coordinates were computed. The ventilatory pattern was registered, and oxygen and carbon dioxide (pCO2) partial pressures were measured. RESULTS The highest range of TSM motion, and ventilation was found during CMV, the lowest during apnea. During HFJV the amount of motion varied inversely with increasing frequency. The reduction of TSM motion at JV300, JV400 and all CPAP levels came at the cost of increased pCO2, however the relatively low frequency of 200 min-1 for HFJV was the only ventilatory setting that enabled adequate CO2 removal. CONCLUSION In this model, HFJV at 200 min-1 was the best compromise between immobilization and gas exchange for sessions of 10-min duration.
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26
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Kalantzopoulos C, Meschini G, Paganelli C, Fontana G, Vai A, Preda L, Vitolo V, Valvo F, Baroni G. Organ motion quantification and margins evaluation in carbon ion therapy of abdominal lesions. Phys Med 2020; 75:33-39. [PMID: 32485596 DOI: 10.1016/j.ejmp.2020.05.014] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2019] [Revised: 04/03/2020] [Accepted: 05/17/2020] [Indexed: 12/11/2022] Open
Abstract
PURPOSE In image-guided particle radiotherapy of abdominal lesions, respiratory motion hinders treatment accuracy. In this study, 2D cineMRI data were used to quantify the tumor (GTV) motion and to evaluate the clinical approach based on deriving an internal target volume (ITV) from a planning 4DCT for gating treatments. METHODS Seven patients with abdominal lesions were treated with carbon-ion therapy at the National Centre of Oncological Hadron-therapy (Italy). The MR scan was performed on the same day of the 4DCT acquisition. For four patients, an additional MR was acquired approximately after 1 week. The cineMRI combined with deformable image registration algorithm was used to quantify tumor motion. Afterwards, two ITVs were defined considering (1) all phases (ITVFB) and (2) only phases within the gating window (ITVG), and then compared with the clinical (4DCT-derived) ITVs (ITVCG and ITVCFB). RESULTS Tumor residual motion estimated by cineMRI data in the two MRI sessions resulted not significantly different from 4DCT, although cineMRI accounted for cycle-to-cycle variations. The ITV normalized for the GTV median values were higher for ITVFB with respect to ITVG, ITVCFB and ITVCG. The Hausdorff distances with respect to the GTV were up to 10.55 mm, 3.13 mm, 5.56 mm and 2.51 mm, for ITVFB, ITVG, ITVCFB and ITVCG, respectively. According to both metrics, ITVCG and ITVG were not found significantly different. CONCLUSIONS CineMRI acquisitions allowed to quantify organ motion without delivering additional dose to the patient and to verify treatment margins in gated carbon-ion therapy of abdominal lesions.
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Affiliation(s)
| | - Giorgia Meschini
- Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, 20133 Milan, Italy
| | - Chiara Paganelli
- Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, 20133 Milan, Italy
| | - Giulia Fontana
- Centro Nazionale di Adroterapia Oncologica, Str. Campeggi, 53, 27100 Pavia, Italy
| | - Alessandro Vai
- Centro Nazionale di Adroterapia Oncologica, Str. Campeggi, 53, 27100 Pavia, Italy
| | - Lorenzo Preda
- Centro Nazionale di Adroterapia Oncologica, Str. Campeggi, 53, 27100 Pavia, Italy
| | - Viviana Vitolo
- Centro Nazionale di Adroterapia Oncologica, Str. Campeggi, 53, 27100 Pavia, Italy
| | - Francesca Valvo
- Centro Nazionale di Adroterapia Oncologica, Str. Campeggi, 53, 27100 Pavia, Italy
| | - Guido Baroni
- Centro Nazionale di Adroterapia Oncologica, Str. Campeggi, 53, 27100 Pavia, Italy; Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, 20133 Milan, Italy
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27
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Kron T, Thorwarth D. Single-fraction magnetic resonance guided stereotactic radiotherapy - A game changer? Phys Imaging Radiat Oncol 2020; 14:95-96. [PMID: 32566765 PMCID: PMC7297147 DOI: 10.1016/j.phro.2020.06.003] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023] Open
Affiliation(s)
- Tomas Kron
- Department of Physical Sciences, Peter MacCallum Cancer Centre, Melbourne, Australia
- Centre for Medical Radiation Physics, University of Wollongong, Wollongong, Australia
| | - Daniela Thorwarth
- Section for Biomedical Physics, Department of Radiation Oncology, University of Tübingen, Germany
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Cooke R, Camilleri P, Chu KY, O'Cathail SM, Robinson M, Van Den Heuvel F, Hawkins MA. Stereotactic body radiotherapy for moderately central and ultra-central oligometastatic disease: Initial outcomes. Tech Innov Patient Support Radiat Oncol 2020; 13:24-30. [PMID: 32128460 PMCID: PMC7042153 DOI: 10.1016/j.tipsro.2020.01.002] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2019] [Revised: 01/14/2020] [Accepted: 01/17/2020] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND Delivery of SBRT to central thoracic tumours within 2 cm of the proximal bronchial tree (PBT), and especially ultra-central tumours which directly abut the PBT, has been controversial due to concerns about high risk of toxicity and treatment-related death when delivering high doses close to critical mediastinal structures. We present dosimetric and clinical outcomes from a group of oligometastatic patients treated with a risk-adapted SBRT approach. METHODS Between September 2015 and October 2018, 27 patients with 28 central thoracic oligometastases (6 moderately central, 22 ultra-central) were treated with 60 Gy in 8 fractions under online CBCT guidance. PTV dose was compromised where necessary to meet mandatory OAR constraints. Patients were followed up for toxicity and disease status. RESULTS Mandatory OAR constraints were met in all cases; this required PTV coverage compromise in 23 cases, with V100% reduced to <70% in 11 cases. No acute or late toxicities of Grade ≥ 3 were reported. One and 2 year in-field control rates were 95.2% and 85.7% respectively, progression-free survival rates were 42.8% and 23.4% respectively, and overall survival rates were 82.7% and 69.5% respectively. No significant differences were seen in control or survival rates by extent of PTV underdosage or between moderately and ultra-central cases. CONCLUSION It appears that compromising PTV coverage to meet OAR constraints allows safe and effective delivery of SBRT to moderately and ultra-central tumours, with low toxicity rates and high in-field control rates. This treatment can be delivered on standard linear accelerators with widely available imaging technology.
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Affiliation(s)
- Rosie Cooke
- Oxford Institute for Radiation Oncology, Department of Oncology, University of Oxford, Old Road Campus Research Building, Roosevelt Drive, Oxford OX3 7DQ, United Kingdom
- Oxford University Hospitals NHS FT, Churchill Hospital, Old Road, Oxford OX3 7LE, United Kingdom
| | - Philip Camilleri
- Oxford University Hospitals NHS FT, Churchill Hospital, Old Road, Oxford OX3 7LE, United Kingdom
| | - Kwun-Ye Chu
- Oxford Institute for Radiation Oncology, Department of Oncology, University of Oxford, Old Road Campus Research Building, Roosevelt Drive, Oxford OX3 7DQ, United Kingdom
- Oxford University Hospitals NHS FT, Churchill Hospital, Old Road, Oxford OX3 7LE, United Kingdom
| | - Séan M. O'Cathail
- Oxford Institute for Radiation Oncology, Department of Oncology, University of Oxford, Old Road Campus Research Building, Roosevelt Drive, Oxford OX3 7DQ, United Kingdom
| | - Maxwell Robinson
- Oxford Institute for Radiation Oncology, Department of Oncology, University of Oxford, Old Road Campus Research Building, Roosevelt Drive, Oxford OX3 7DQ, United Kingdom
- Oxford University Hospitals NHS FT, Churchill Hospital, Old Road, Oxford OX3 7LE, United Kingdom
| | - Frank Van Den Heuvel
- Oxford Institute for Radiation Oncology, Department of Oncology, University of Oxford, Old Road Campus Research Building, Roosevelt Drive, Oxford OX3 7DQ, United Kingdom
- Oxford University Hospitals NHS FT, Churchill Hospital, Old Road, Oxford OX3 7LE, United Kingdom
| | - Maria A. Hawkins
- Medical Physics and Biomedical Engineering, Malet Place Engineering Building, University College London, Gower Street, London WC1E 6BT, United Kingdom
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Rabe M, Thieke C, Düsberg M, Neppl S, Gerum S, Reiner M, Nicolay NH, Schlemmer H, Debus J, Dinkel J, Landry G, Parodi K, Belka C, Kurz C, Kamp F. Real‐time 4DMRI‐based internal target volume definition for moving lung tumors. Med Phys 2020; 47:1431-1442. [DOI: 10.1002/mp.14023] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2019] [Revised: 12/20/2019] [Accepted: 01/07/2020] [Indexed: 12/25/2022] Open
Affiliation(s)
- Moritz Rabe
- Department of Radiation Oncology University Hospital, LMU Munich Munich 81377 Germany
| | - Christian Thieke
- Department of Radiation Oncology University Hospital, LMU Munich Munich 81377 Germany
| | - Mathias Düsberg
- Department of Radiation Oncology Klinikum rechts der Isar, Technical University Munich 81675 Germany
| | - Sebastian Neppl
- Department of Radiation Oncology University Hospital, LMU Munich Munich 81377 Germany
| | - Sabine Gerum
- Department of Radiation Oncology University Hospital, LMU Munich Munich 81377 Germany
| | - Michael Reiner
- Department of Radiation Oncology University Hospital, LMU Munich Munich 81377 Germany
| | | | | | - Jürgen Debus
- Department of Radiation Oncology University Hospital of Heidelberg Heidelberg 69120 Germany
- Heidelberg Institute of Radiation Oncology (HIRO) Heidelberg 69120 Germany
| | - Julien Dinkel
- Department of Radiology University Hospital, LMU Munich Munich 81377 Germany
| | - Guillaume Landry
- Department of Radiation Oncology University Hospital, LMU Munich Munich 81377 Germany
- Department of Medical Physics Ludwig‐Maximilians‐Universität München (LMU Munich) Garching 85748 Germany
| | - Katia Parodi
- Department of Medical Physics Ludwig‐Maximilians‐Universität München (LMU Munich) Garching 85748 Germany
| | - Claus Belka
- Department of Radiation Oncology University Hospital, LMU Munich Munich 81377 Germany
- German Cancer Consortium (DKTK) Munich 81377 Germany
| | - Christopher Kurz
- Department of Radiation Oncology University Hospital, LMU Munich Munich 81377 Germany
- Department of Medical Physics Ludwig‐Maximilians‐Universität München (LMU Munich) Garching 85748 Germany
| | - Florian Kamp
- Department of Radiation Oncology University Hospital, LMU Munich Munich 81377 Germany
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30
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Real-time control of respiratory motion: Beyond radiation therapy. Phys Med 2019; 66:104-112. [PMID: 31586767 DOI: 10.1016/j.ejmp.2019.09.241] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2019] [Revised: 09/23/2019] [Accepted: 09/26/2019] [Indexed: 12/16/2022] Open
Abstract
Motion management in radiation oncology is an important aspect of modern treatment planning and delivery. Special attention has been paid to control respiratory motion in recent years. However, other medical procedures related to both diagnosis and treatment are likely to benefit from the explicit control of breathing motion. Quantitative imaging - including increasingly important tools in radiology and nuclear medicine - is among the fields where a rapid development of motion control is most likely, due to the need for quantification accuracy. Emerging treatment modalities like focussed-ultrasound tumor ablation are also likely to benefit from a significant evolution of motion control in the near future. In the present article an overview of available respiratory motion systems along with ongoing research in this area is provided. Furthermore, an attempt is made to envision some of the most expected developments in this field in the near future.
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Hoffman D, Dragojević I, Hoisak J, Hoopes D, Manger R. Lung Stereotactic Body Radiation Therapy (SBRT) dose gradient and PTV volume: a retrospective multi-center analysis. Radiat Oncol 2019; 14:162. [PMID: 31481089 PMCID: PMC6724320 DOI: 10.1186/s13014-019-1334-9] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2019] [Accepted: 07/09/2019] [Indexed: 12/31/2022] Open
Abstract
Background The treatment of lung lesions with stereotactic body radiation therapy calls for highly conformal dose, which is evaluated by a number of metrics. Lung stereotactic body radiation therapy clinical trials constrain a plans gradient index. The purpose of this work is to describe the dependence of clinically achievable dose gradient on planning target volume. Methods Three hundred seventy-four lung stereotactic body radiation therapy treatment plans were retrospectively reviewed and selected for this study. The relationship between R50% and planning target volume size was observed and compared against the RTOG 0915 and 0813 constraints noting minor and major deviations. Then a least squares regression was used to determine the coefficients for a power functional form of the dependence of gradient measure (GM) on planning target volume size. Results Of the 317 peripheral lung SBRT plans, 142 exhibited no deviation, 135 exhibited a minor deviation, and 40 exhibited a major deviation according to the RTOG 0915 dosimetric. conformality and dose fall-off constraints. A plot of gradient measure versus planning target volume size for peripheral lesions, excluding RTOG 0915 major deviations, is fit with an power function of GM = 0.564 V0.215. Conclusions Using the PTV size and GM relationship we have characterized, treatment plans with PTV < 85 cm3 can be evaluated subjectively to our previously plans, and given a percentile GM. This relationship and evaluation is useful for volumetric modulated arc therapy lung stereotactic body radiation therapy treatment planning and quality control. Electronic supplementary material The online version of this article (10.1186/s13014-019-1334-9) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- David Hoffman
- UC San Diego Radiation Medicine and Applied Sciences, 3855 Health Sciences Dr. #0843, La Jolla, CA, 92093-0843, USA
| | - Irena Dragojević
- UC San Diego Radiation Medicine and Applied Sciences, 3855 Health Sciences Dr. #0843, La Jolla, CA, 92093-0843, USA
| | - Jeremy Hoisak
- UC San Diego Radiation Medicine and Applied Sciences, 3855 Health Sciences Dr. #0843, La Jolla, CA, 92093-0843, USA
| | - David Hoopes
- UC San Diego Radiation Medicine and Applied Sciences, 3855 Health Sciences Dr. #0843, La Jolla, CA, 92093-0843, USA
| | - Ryan Manger
- UC San Diego Radiation Medicine and Applied Sciences, 3855 Health Sciences Dr. #0843, La Jolla, CA, 92093-0843, USA.
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Pacelli R, Caroprese M, Palma G, Oliviero C, Clemente S, Cella L, Conson M. Technological evolution of radiation treatment: Implications for clinical applications. Semin Oncol 2019; 46:193-201. [PMID: 31395286 DOI: 10.1053/j.seminoncol.2019.07.004] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/20/2019] [Accepted: 07/17/2019] [Indexed: 02/07/2023]
Abstract
The contemporary approach to the management of a cancer patient requires an "ab initio" involvement of different medical domains in order to correctly design an individual patient's pathway toward cure. With new therapeutic tools in every medical field developing faster than ever before the patient care outcomes can be achieved if all surgical, drug, and radiation options are considered in the design of the appropriate therapeutic strategy for a given patient. Radiation therapy (RT) is a clinical discipline in which experts from different fields continuously interact in order to manage the multistep process of the radiation treatment. RT is found to be an appropriate intervention for diverse indications in about 50% of cancer patients during the course of their disease. Technologies are essential in dealing with the complexity of RT treatments and for driving the increasingly sophisticated RT approaches becoming available for the treatment of Cancer. High conformal techniques, namely intensity modulated or volumetric modulated arc techniques, ablative techniques (Stereotactic Radiotherapy and Stereotactic Radiosurgery), particle therapy (proton or carbon ion therapy) allow for success in treating irregularly shaped or critically located targets and for the sharpness of the dose fall-off outside the target. The advanced on-board imaging, including real-time position management systems, makes possible image-guided radiation treatment that results in substantial margin reduction and, in select cases, implementation of an adaptive approach. The therapeutic gains of modern RT are also due in part to the enhanced anticancer activity obtained by coadministering RT with chemotherapy, targeted molecules, and currently immune checkpoints inhibitors. These main clinically relevant steps forward in Radiation Oncology represent a change of gear in the field that may have a profound impact on the management of cancer patients.
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Affiliation(s)
- Roberto Pacelli
- Department of Advanced Biomedical Sciences, University "Federico II", Napoli, Italy.
| | - Mara Caroprese
- Department of Advanced Biomedical Sciences, University "Federico II", Napoli, Italy
| | - Giuseppe Palma
- Institute of Biostructures and Bioimages, National Research Council, Napoli, Italy
| | | | | | - Laura Cella
- Institute of Biostructures and Bioimages, National Research Council, Napoli, Italy
| | - Manuel Conson
- Department of Advanced Biomedical Sciences, University "Federico II", Napoli, Italy
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Modalities and techniques used for stereotactic radiotherapy, intensity-modulated radiotherapy, and image-guided radiotherapy: A 2018 survey by the Japan Society of Medical Physics. Phys Med 2019; 64:182-187. [PMID: 31515018 DOI: 10.1016/j.ejmp.2019.07.009] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2019] [Revised: 07/04/2019] [Accepted: 07/14/2019] [Indexed: 02/02/2023] Open
Abstract
Over the last several decades, there have been great advances in radiotherapy with the development of new technologies and modalities, and radiotherapy trends have changed rapidly. To comprehend the current state of radiotherapy in Japan, the QA/QC 2016-2017 Committee of the Japan Society of Medical Physics set up an intensity-modulated radiotherapy/image-guided radiotherapy (IMRT/IGRT) working group and performed a Web-based survey to show the current status of radiotherapy in Japan. The Web-based questionnaire, developed using Google Forms, contained 42 items: 7 on stereotactic radiotherapy implementation, 4 on IMRT, 24 on IGRT, and 7 on respiratory motion management. The survey was conducted from 17 January to 9 March of 2018; in total, 335 institutions provided data. The results show that volumetric modulated arc therapy was used at a level comparable to that of static gantry IMRT. For IGRT, machine-integrated computed tomography (CT), including kilovoltage or megavoltage cone-beam CT and megavoltage CT, was used at many institutions in conjunction with target-based image registration. For respiratory motion management, breath holding was the most commonly used technique. Our hope is that multi-institutional surveys such as this one will be conducted periodically to elucidate the current status of radiotherapy and emerging developments in this field. If our questionnaire was distributed worldwide, in the same format, then global trends in radiotherapy could be better understood.
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Selection of patient for gated treatment based on the information from 4DCT imaging in stereotactic body radiotherapy of non-small cell lung cancer. JOURNAL OF RADIOTHERAPY IN PRACTICE 2019. [DOI: 10.1017/s1460396918000614] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
AbstractPurposeStereotactic body radiotherapy (SBRT) is widely used for the treatment of stage-I non-small cell lung cancer (NSCLC). Patient-specific motion correlated with 4DCT could be essential for hypofractionated SBRT. All patients undergoing SBRT do not require motion management during the dose delivery. The objective of this study was to evaluate which patient may benefit from Gated SBRT.Materials and methodsTreatment planning of 20 patients of stage-I NSCLC was analysed. Conventional and 4DCT scans were taken. Internal target volume as well as planning target volume (ITV and PTV) were determined in the CT data sets. PTVall phases created using 4DCT data sets and PTV15mm created using conventional CT data were compared. Also, ITVall phases were compared with ITV created from maximum intensity projections (ITVMIP). Suitability of patients for motion management-based treatment delivery was also evaluated.ResultsThe average ITVMIP to ITVall phases ratio is 1·06 indicating good agreement between them. Based on the ratio of intensity projections, 9 out of 17 patients were found suitable for our existing gated treatment.Conclusion4D CT is the main requirement in SBRT to identify the patients who can benefit from motion management during the dose delivery.
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Li QW, Qiu B, Wang B, Zhang J, Chen L, Zhou Y, Qin JK, Guo SP, Xie WH, Hui ZG, Liang Y, Guo JY, Wang H, Zhu M, Shen WT, Duan LY, Chen LK, Zhang L, Long H, Wang YM, Liu H. Comparison of hyper- and hypofractionated radiation schemes with IMRT technique in small cell lung cancer: Clinical outcomes and the introduction of extended LQ and TCP models. Radiother Oncol 2019; 136:98-105. [PMID: 31015136 DOI: 10.1016/j.radonc.2019.03.035] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2018] [Revised: 03/27/2019] [Accepted: 03/31/2019] [Indexed: 11/16/2022]
Abstract
PURPOSE To evaluate the outcomes of 45 Gy/15 fractions/once-daily and 45 Gy/30 fractions/twice-daily radiation schemes utilizing intensity-modulated radiation therapy (IMRT) in extensive stage small cell lung cancer (SCLC), and to build up a new radiobiological model for tumor control probability (TCP) considering multiple biological effects. METHODS Fifty-eight consecutive patients diagnosed with extensive stage SCLC, treated with chemotherapy and chest irradiation, were retrospectively reviewed. Thirty-seven received hyperfractionated IMRT (Hyper-IMRT, 45 Gy/30 fractions/twice-daily) and 21 received hypofractionated IMRT (Hypo-IMRT, 45 Gy/15 fractions/once-daily). Local progression-free survival (LPFS) and overall survival (OS) were calculated and compared. An extended linear-quadratic (LQ) model, LQRG, incorporating cell repair, redistribution, reoxygenation, regrowth and Gompertzian tumor growth was created based on the clinical data. The TCP model was reformulated to predict LPFS. The classical LQ and TCP models were compared with the new models. Akaike information criterion (AIC) was used to assess the quality of the models. RESULTS The 2-year LPFS (34.1% vs 27.9%, p = 0.44) and OS (76.9% vs 76.9%, p = 0.26) were similar between Hyper- and Hypo-IMRT patients. According to the LQRG model, the α/β calculated was 9.2 (95% confidence interval: 8.7-9.9) Gy after optimization. The average absolute and relative fitting errors for LPFS were 9.1% and 18.7% for Hyper-IMRT, and 8.8% and 16.2% for Hypo-IMRT of the new TCP model, compared with 29.1% and 62.3% for Hyper-IMRT, and 30.7% and 65.3% for Hypo-IMRT of the classical model. CONCLUSIONS Hypo- and Hyper-IMRT resulted in comparable local control in the chest irradiation of extensive stage SCLC. The LQRG model has better performance in predicting the TCP (or LPFS) of the two schemes.
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Affiliation(s)
- Qi-Wen Li
- Department of Radiation Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Bo Qiu
- Department of Radiation Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Bin Wang
- Department of Radiation Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Jun Zhang
- Department of Radiation Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Li Chen
- Department of Radiation Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Yin Zhou
- Evidance Medical Technologies Inc., Suzhou, China
| | | | - Su-Ping Guo
- Department of Radiation Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Wei-Hao Xie
- Department of Radiation Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Zhou-Guang Hui
- Department of Radiation Oncology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ying Liang
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Jin-Yu Guo
- Department of Radiation Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - He Wang
- Homology Medical Technologies Inc., Suzhou, China
| | - Meng Zhu
- Homology Medical Technologies Inc., Suzhou, China
| | - Wen-Tong Shen
- Department of Radiation Oncology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Long-Yan Duan
- Department of Radiation Oncology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Li-Kun Chen
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Li Zhang
- Department of Medical Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Hao Long
- Department of Thoracic Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Yi-Ming Wang
- Department of Oncology, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Hui Liu
- Department of Radiation Oncology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
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Quantitative evaluation of 4D Cone beam CT scans with reduced scan time in lung cancer patients. Radiother Oncol 2019; 136:64-70. [PMID: 31015131 PMCID: PMC6598855 DOI: 10.1016/j.radonc.2019.03.027] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2018] [Revised: 03/26/2019] [Accepted: 03/27/2019] [Indexed: 11/21/2022]
Abstract
Fast (2 min) 4D CBCT can be simulated accurately from long (4 min) scans. Registration was accurate for 96.6% of simulated 2 min scans. Acquired 2 min scan registration was accurate in 6/8 patients. 2 min 4D CBCT produces sufficient image quality for IGRT in lung cancer patients.
Purpose Image guided radiotherapy (IGRT) based on respiration correlated cone-beam CT (4D-CBCT) provides accurate tumour localisation in lung cancer patients by taking into account respiratory motion when deriving setup correction. However, 4D-CBCT scan times are typically longer than for acquisition of 3D-CBCT scans, e.g. 4 min. This work aims to quantitatively evaluate the effect of reduced scan times on 4D-CBCT image quality and registration accuracy in lung cancer patients. Methods and materials Scan times down to 1 min were simulated by retaining only projection images corresponding to every second, third or fourth respiratory cycle in forty-four 4D-CBCTs from 15 lung cancer patients. In addition twenty 2-minute scans were acquired for 12 lung cancer patients. Image quality was quantified by assessing registration accuracy in the shorter scan times, comparing to the 4-minute scan registration result where available as reference. Results Use of 2-minute scans had little impact on registration accuracy or ability to detect tumour motion: automatic registration accuracy was within 2 mm in 6/8 scans analysed with 2-minute acquisitions, and 96.6% of registration discrepancies were within 2 mm for the simulated scans. When the scan time simulated was below 2 min, automatic registration results still agreed within 2 mm for 84.7% of scans, however visual image quality was considerably degraded. Conclusion A 4D-CBCT acquisition time of 2 min produces scans of sufficient image quality for IGRT in most lung cancer patients, as demonstrated quantitatively by assessing the impact on automatic registration accuracy in simulated and real acquisitions.
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Ghita M, Dunne V, Hanna GG, Prise KM, Williams JP, Butterworth KT. Preclinical models of radiation-induced lung damage: challenges and opportunities for small animal radiotherapy. Br J Radiol 2019; 92:20180473. [PMID: 30653332 DOI: 10.1259/bjr.20180473] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
Despite a major paradigm shift in radiotherapy planning and delivery over the past three decades with continuing refinements, radiation-induced lung damage (RILD) remains a major dose limiting toxicity in patients receiving thoracic irradiations. Our current understanding of the biological processes involved in RILD which includes DNA damage, inflammation, senescence and fibrosis, is based on clinical observations and experimental studies in mouse models using conventional radiation exposures. Whilst these studies have provided vital information on the pulmonary radiation response, the current implementation of small animal irradiators is enabling refinements in the precision and accuracy of dose delivery to mice which can be applied to studies of RILD. This review presents the current landscape of preclinical studies in RILD using small animal irradiators and highlights the challenges and opportunities for the further development of this emerging technology in the study of normal tissue damage in the lung.
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Affiliation(s)
- Mihaela Ghita
- 1 Centre for Cancer Research and Cell Biology, Queen's University Belfast , Belfast , Northern Ireland, UK
| | - Victoria Dunne
- 1 Centre for Cancer Research and Cell Biology, Queen's University Belfast , Belfast , Northern Ireland, UK
| | - Gerard G Hanna
- 1 Centre for Cancer Research and Cell Biology, Queen's University Belfast , Belfast , Northern Ireland, UK.,2 Northern Ireland Cancer Centre, Belfast City Hospital , Belfast , Northern Ireland, UK
| | - Kevin M Prise
- 1 Centre for Cancer Research and Cell Biology, Queen's University Belfast , Belfast , Northern Ireland, UK
| | - Jaqueline P Williams
- 3 University of Rochester Medical Centre, University of Rochester , Rochester , USA
| | - Karl T Butterworth
- 1 Centre for Cancer Research and Cell Biology, Queen's University Belfast , Belfast , Northern Ireland, UK
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Bowling MR, Folch EE, Khandhar SJ, Kazakov J, Krimsky WS, LeMense GP, Linden PA, Murillo BA, Nead MA, Pritchett MA, Teba CV, Towe CW, Williams T, Anciano CJ. Fiducial marker placement with electromagnetic navigation bronchoscopy: a subgroup analysis of the prospective, multicenter NAVIGATE study. Ther Adv Respir Dis 2019; 13:1753466619841234. [PMID: 30958102 PMCID: PMC6454637 DOI: 10.1177/1753466619841234] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2018] [Accepted: 03/08/2019] [Indexed: 12/02/2022] Open
Abstract
BACKGROUND Fiducial markers (FMs) help direct stereotactic body radiation therapy (SBRT) and localization for surgical resection in lung cancer management. We report the safety, accuracy, and practice patterns of FM placement utilizing electromagnetic navigation bronchoscopy (ENB). METHODS NAVIGATE is a global, prospective, multicenter, observational cohort study of ENB using the superDimension™ navigation system. This prospectively collected subgroup analysis presents the patient demographics, procedural characteristics, and 1-month outcomes in patients undergoing ENB-guided FM placement. Follow up through 24 months is ongoing. RESULTS Two-hundred fifty-eight patients from 21 centers in the United States were included. General anesthesia was used in 68.2%. Lesion location was confirmed by radial endobronchial ultrasound in 34.5% of procedures. The median ENB procedure time was 31.0 min. Concurrent lung lesion biopsy was conducted in 82.6% (213/258) of patients. A mean of 2.2 ± 1.7 FMs (median 1.0 FMs) were placed per patient and 99.2% were accurately positioned based on subjective operator assessment. Follow-up imaging showed that 94.1% (239/254) of markers remained in place. The procedure-related pneumothorax rate was 5.4% (14/258) overall and 3.1% (8/258) grade ⩾ 2 based on the Common Terminology Criteria for Adverse Events scale. The procedure-related grade ⩾ 4 respiratory failure rate was 1.6% (4/258). There were no bronchopulmonary hemorrhages. CONCLUSION ENB is an accurate and versatile tool to place FMs for SBRT and localization for surgical resection with low complication rates. The ability to perform a biopsy safely in the same procedure can also increase efficiency. The impact of practice pattern variations on therapeutic effectiveness requires further study. TRIAL REGISTRATION ClinicalTrials.gov identifier: NCT02410837.
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Affiliation(s)
- Mark R. Bowling
- Department of Internal Medicine, Division of
Pulmonary, Critical Care and Sleep Medicine, Brody School of Medicine, East
Carolina University, 521a Moye Boulevard, Greenville, NC 27834, USA
| | - Erik E. Folch
- Massachusetts General Hospital, Harvard Medical
School, Boston, MA, USA
| | | | - Jordan Kazakov
- University Hospitals Cleveland Medical Center
and Case Western Reserve School of Medicine, Cleveland, OH, USA
| | | | | | - Philip A. Linden
- University Hospitals Cleveland Medical Center
and Case Western Reserve School of Medicine, Cleveland, OH, USA
| | | | | | - Michael A. Pritchett
- Pulmonary Department, Pinehurst Medical Clinic
and FirstHealth Moore Regional Hospital, Pinehurst, NC, USA
| | - Catalina V. Teba
- University Hospitals Cleveland Medical Center
and Case Western Reserve School of Medicine, Cleveland, OH, USA
| | - Christopher W. Towe
- University Hospitals Cleveland Medical Center
and Case Western Reserve School of Medicine, Cleveland, OH, USA
| | - Terence Williams
- Department of Radiation Oncology, Ohio State
University Wexner Medical Center, Columbus OH, USA Brigham and Women’s
Hospital, Boston, MA, USA
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Amin ATM, Mokri SS, Ahmad R, Abd Rahni AA. Development of a 4D phantom for respiratory motion modeling during Cone-Beam CT (CBCT) imaging on the Varian On-Board Imager (OBI). 2018 IEEE-EMBS CONFERENCE ON BIOMEDICAL ENGINEERING AND SCIENCES (IECBES) 2018. [DOI: 10.1109/iecbes.2018.8626653] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/02/2023]
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West NS, Parkes MJ, Snowden C, Prentis J, McKenna J, Iqbal MS, Cashmore J, Walker C. Mitigating Respiratory Motion in Radiation Therapy: Rapid, Shallow, Non-invasive Mechanical Ventilation for Internal Thoracic Targets. Int J Radiat Oncol Biol Phys 2018; 103:1004-1010. [PMID: 30496883 DOI: 10.1016/j.ijrobp.2018.11.040] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2018] [Revised: 11/06/2018] [Accepted: 11/19/2018] [Indexed: 12/25/2022]
Abstract
PURPOSE Reducing respiratory motion during the delivery of radiation therapy reduces the volume of healthy tissues irradiated and may decrease radiation-induced toxicity. The purpose of this study was to assess the potential for rapid shallow non-invasive mechanical ventilation to reduce internal anatomy motion for radiation therapy purposes. METHODS AND MATERIALS Ten healthy volunteers (mean age, 38 years; range, 22-54 years; 6 female and 4 male) were scanned using magnetic resonance imaging during normal breathing and at 2 ventilator-induced frequencies: 20 and 25 breaths per minute for 3 minutes. Sagittal and coronal cinematic data sets, centered over the right diaphragm, were used to measure internal motions across the lung-diaphragm interface. Repeated scans assessed reproducibility. Physiologic parameters and participant experiences were recorded to quantify tolerability and comfort. RESULTS Physiologic observations and experience questionnaires demonstrated that rapid shallow non-invasive ventilation technique was tolerable and comfortable. Motion analysis of the lung-diaphragm interface demonstrated respiratory amplitudes and variations reduced in all subjects using rapid shallow non-invasive ventilation compared with spontaneous breathing: mean amplitude reductions of 56% and 62% for 20 and 25 breaths per minute, respectively. The largest mean amplitude reductions were found in the posterior of the right lung; 40.0 mm during normal breathing to 15.5 mm (P < .005) and 15.2 mm (P < .005) when ventilated with 20 and 25 breaths per minute, respectively. Motion variations also reduced with ventilation; standard deviations in the posterior lung reduced from 14.8 mm during normal respiration to 4.6 mm and 3.5 mm at 20 and 25 breaths per minute, respectively. CONCLUSIONS To our knowledge, this study is the first to measure internal anatomic motion using rapid shallow mechanical ventilation to regularize and minimize respiratory motion over a period long enough to image and to deliver radiation therapy. Rapid frequency and shallow, non-invasive ventilation both generate large reductions in internal thoracic and abdominal motions, the clinical application of which could be profound-enabling dose escalation (increasing treatment efficacy) or high-dose ablative radiation therapy.
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Affiliation(s)
- Nicholas S West
- Department of Radiotherapy Physics, Northern Centre for Cancer Care, The Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, United Kingdom.
| | - Michael J Parkes
- School of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, Birmingham, United Kingdom
| | - Christopher Snowden
- Departments of Perioperative and Critical Care Medicine, Freeman Hospital, The Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, United Kingdom
| | - James Prentis
- Departments of Perioperative and Critical Care Medicine, Freeman Hospital, The Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, United Kingdom
| | - Jill McKenna
- Department of Therapeutic Radiography, Northern Centre for Cancer Care, The Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, United Kingdom
| | - Muhammad Shahid Iqbal
- Department of Clinical Oncology, Northern Centre for Cancer Care, The Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, United Kingdom
| | - Jason Cashmore
- Hall Edwards Radiotherapy Group, University Hospitals Birmingham NHS Foundation Trust, Birmingham, United Kingdom
| | - Christopher Walker
- Department of Radiotherapy Physics, Northern Centre for Cancer Care, The Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, United Kingdom
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Paganelli C, Whelan B, Peroni M, Summers P, Fast M, van de Lindt T, McClelland J, Eiben B, Keall P, Lomax T, Riboldi M, Baroni G. MRI-guidance for motion management in external beam radiotherapy: current status and future challenges. Phys Med Biol 2018; 63:22TR03. [PMID: 30457121 DOI: 10.1088/1361-6560/aaebcf] [Citation(s) in RCA: 82] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
High precision conformal radiotherapy requires sophisticated imaging techniques to aid in target localisation for planning and treatment, particularly when organ motion due to respiration is involved. X-ray based imaging is a well-established standard for radiotherapy treatments. Over the last few years, the ability of magnetic resonance imaging (MRI) to provide radiation-free images with high-resolution and superb soft tissue contrast has highlighted the potential of this imaging modality for radiotherapy treatment planning and motion management. In addition, these advantageous properties motivated several recent developments towards combined MRI radiation therapy treatment units, enabling in-room MRI-guidance and treatment adaptation. The aim of this review is to provide an overview of the state-of-the-art in MRI-based image guidance for organ motion management in external beam radiotherapy. Methodological aspects of MRI for organ motion management are reviewed and their application in treatment planning, in-room guidance and adaptive radiotherapy described. Finally, a roadmap for an optimal use of MRI-guidance is highlighted and future challenges are discussed.
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Affiliation(s)
- C Paganelli
- Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy. Author to whom any correspondence should be addressed. www.cartcas.polimi.it
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Vloet A, Li W, Giuliani M, Seco P, Silver L, Sun A, Bissonnette JP. Comparison of residual geometric errors obtained for lung SBRT under static beams and VMAT techniques: Implications for PTV margins. Phys Med 2018; 52:129-132. [PMID: 30139601 DOI: 10.1016/j.ejmp.2018.07.009] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/05/2018] [Revised: 07/09/2018] [Accepted: 07/24/2018] [Indexed: 10/28/2022] Open
Affiliation(s)
- Anita Vloet
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON M5G 2M9, Canada
| | - Winnie Li
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON M5G 2M9, Canada; Department of Radiation Oncology, University of Toronto, Canada
| | - Meredith Giuliani
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON M5G 2M9, Canada; Department of Radiation Oncology, University of Toronto, Canada
| | - Petula Seco
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON M5G 2M9, Canada
| | - Lauren Silver
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON M5G 2M9, Canada
| | - Alexander Sun
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON M5G 2M9, Canada; Department of Radiation Oncology, University of Toronto, Canada
| | - Jean-Pierre Bissonnette
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON M5G 2M9, Canada; Department of Radiation Oncology, University of Toronto, Canada.
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Duncan M, Newall MK, Caillet V, Booth JT, Keall PJ, Lerch M, Perevertaylo V, Rosenfeld AB, Petasecca M. Real-time high spatial resolution dose verification in stereotactic motion adaptive arc radiotherapy. J Appl Clin Med Phys 2018; 19:173-184. [PMID: 29873185 PMCID: PMC6036363 DOI: 10.1002/acm2.12364] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2017] [Revised: 03/08/2018] [Accepted: 04/18/2018] [Indexed: 12/25/2022] Open
Abstract
Purpose Radiation treatments delivered with real‐time multileaf collimator (MLC) tracking currently lack fast pretreatment or real‐time quality assurance. The purpose of this study is to test a 2D silicon detector, MagicPlate‐512 (MP512), in a complex clinical environment involving real‐time reconfiguration of the MLC leaves during target tracking. Methods MP512 was placed in the center of a solid water phantom and mounted on a motion platform used to simulate three different patient motions. Electromagnetic target tracking was implemented using the Calypso system (Varian Medical Systems, Palo Alto, CA, USA) and an MLC tracking software. A two‐arc VMAT plan was delivered and 2D dose distributions were reconstructed by MP512, EBT3 film, and the Eclipse treatment planning system (TPS). Dose maps were compared using gamma analysis with 2%/2 mm and 3%/3 mm acceptance criteria. Dose profiles were generated in sup‐inf and lateral directions to show the agreement of MP512 to EBT3 and to highlight the efficacy of the MLC tracking system in mitigating the effect of the simulated patient motion. Results Using a 3%/3 mm acceptance criterion for 2D gamma analysis, MP512 to EBT3 film agreement was 99% and MP512 to TPS agreement was 100%. For a 2%/2 mm criterion, the agreement was 95% and 98%, respectively. Full width at half maximum and 80%/20% penumbral width of the MP512 and EBT3 dose profiles agreed within 1 mm and 0.5 mm, respectively. Patient motion increased the measured dose profile penumbral width by nearly 2 mm (with respect to the no‐motion case); however, the MLC tracking strategy was able to mitigate 80% of this effect. Conclusions MP512 is capable of high spatial resolution 2D dose reconstruction during adaptive MLC tracking, including arc deliveries. It shows potential as an effective tool for 2D small field dosimetry and pretreatment quality assurance for MLC tracking modalities. These results provide confidence that detector‐based pretreatment dosimetry is clinically feasible despite fast real‐time MLC reconfigurations.
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Affiliation(s)
- Mitchell Duncan
- Centre for Medical Radiation Physics, University of Wollongong, Wollongong, NSW, Australia
| | - Matthew K Newall
- Centre for Medical Radiation Physics, University of Wollongong, Wollongong, NSW, Australia
| | - Vincent Caillet
- Northern Sydney Cancer Centre, Royal North Shore Hospital, St. Leonards, NSW, Australia
| | - Jeremy T Booth
- Northern Sydney Cancer Centre, Royal North Shore Hospital, St. Leonards, NSW, Australia.,Institute of Medical Physics, School of Physics, University of Sydney, NSW, Australia
| | - Paul J Keall
- Radiation Physics Laboratory, School of Medicine, University of Sydney, NSW, Australia
| | - Michael Lerch
- Centre for Medical Radiation Physics, University of Wollongong, Wollongong, NSW, Australia
| | | | - Anatoly B Rosenfeld
- Centre for Medical Radiation Physics, University of Wollongong, Wollongong, NSW, Australia
| | - Marco Petasecca
- Centre for Medical Radiation Physics, University of Wollongong, Wollongong, NSW, Australia
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Molecular Imaging Using PET/CT for Radiation Therapy Planning for Adult Cancers: Current Status and Expanding Applications. Int J Radiat Oncol Biol Phys 2018; 102:783-791. [PMID: 30353883 DOI: 10.1016/j.ijrobp.2018.03.013] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2017] [Revised: 02/23/2018] [Accepted: 03/13/2018] [Indexed: 12/25/2022]
Abstract
Accurate tumor delineation is a priority in radiation therapy (RT). Metabolic imaging has a key and evolving role in target volume selection and delineation. This is especially so for non-small cell lung cancer, squamous cell cancer of the head and neck, and lymphoma, for which positron emission tomography/computed tomography (PET/CT) is complimentary to structural imaging modalities, not only in delineating primary tumors, but also often in revealing previously undiagnosed regional nodal disease. At some sites, PET/CT has been confirmed to enable target size reduction compared with structural imaging alone, with enhanced normal tissue sparing and potentially allowing for dose escalation. These contributions often dramatically affect RT strategies. However, some limitations exist to the use of fluorodeoxyglucose-PET in RT planning, including its relatively poor spatial resolution and partial voluming effects for small tumors. A role is developing for contributions from metabolic imaging to RT planning at other tumor sites and exciting new applications for the use of non-fluorodeoxyglucose metabolic markers for RT planning.
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45
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Aznar MC, Warren S, Hoogeman M, Josipovic M. The impact of technology on the changing practice of lung SBRT. Phys Med 2018; 47:129-138. [PMID: 29331227 PMCID: PMC5883320 DOI: 10.1016/j.ejmp.2017.12.020] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2017] [Revised: 11/20/2017] [Accepted: 12/23/2017] [Indexed: 02/09/2023] Open
Abstract
Stereotactic body radiotherapy (SBRT) for lung tumours has been gaining wide acceptance in lung cancer. Here, we review the technological evolution of SBRT delivery in lung cancer, from the first treatments using the stereotactic body frame in the 1990's to modern developments in image guidance and motion management. Finally, we discuss the impact of current technological approaches on the requirements for quality assurance as well as future technological developments.
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Affiliation(s)
- Marianne Camille Aznar
- Clinical Trial Service Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK; Institute for Clinical Medicine, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark; Niels Bohr Institute, Faculty of Science, University of Copenhagen, Copenhagen, Denmark.
| | - Samantha Warren
- Hall Edwards Radiotherapy Group, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
| | - Mischa Hoogeman
- MC-Daniel den Hoed Cancer Center, Erasmus University, Rotterdam, Netherlands
| | - Mirjana Josipovic
- Niels Bohr Institute, Faculty of Science, University of Copenhagen, Copenhagen, Denmark; Department of Oncology, Section for Radiotherapy, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
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46
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Montanaro T, Nguyen DT, Keall PJ, Booth J, Caillet V, Eade T, Haddad C, Shieh CC. A comparison of gantry-mounted x-ray-based real-time target tracking methods. Med Phys 2018; 45:1222-1232. [PMID: 29363760 DOI: 10.1002/mp.12765] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2017] [Revised: 11/08/2017] [Accepted: 12/27/2017] [Indexed: 12/25/2022] Open
Abstract
PURPOSE Most modern radiotherapy machines are built with a 2D kV imaging system. Combining this imaging system with a 2D-3D inference method would allow for a ready-made option for real-time 3D tumor tracking. This work investigates and compares the accuracy of four existing 2D-3D inference methods using both motion traces inferred from external surrogates and measured internally from implanted beacons. METHOD Tumor motion data from 160 fractions (46 thoracic/abdominal patients) of Synchrony traces (inferred traces), and 28 fractions (7 lung patients) of Calypso traces (internal traces) from the LIGHT SABR trial (NCT02514512) were used in this study. The motion traces were used as the ground truth. The ground truth trajectories were used in silico to generate 2D positions projected on the kV detector. These 2D traces were then passed to the 2D-3D inference methods: interdimensional correlation, Gaussian probability density function (PDF), arbitrary-shape PDF, and the Kalman filter. The inferred 3D positions were compared with the ground truth to determine tracking errors. The relationships between tracking error and motion magnitude, interdimensional correlation, and breathing periodicity index (BPI) were also investigated. RESULTS Larger tracking errors were observed from the Calypso traces, with RMS and 95th percentile 3D errors of 0.84-1.25 mm and 1.72-2.64 mm, compared to 0.45-0.68 mm and 0.74-1.13 mm from the Synchrony traces. The Gaussian PDF method was found to be the most accurate, followed by the Kalman filter, the interdimensional correlation method, and the arbitrary-shape PDF method. Tracking error was found to strongly and positively correlate with motion magnitude for both the Synchrony and Calypso traces and for all four methods. Interdimensional correlation and BPI were found to negatively correlate with tracking error only for the Synchrony traces. The Synchrony traces exhibited higher interdimensional correlation than the Calypso traces especially in the anterior-posterior direction. CONCLUSION Inferred traces often exhibit higher interdimensional correlation, which are not true representation of thoracic/abdominal motion and may underestimate kV-based tracking errors. The use of internal traces acquired from systems such as Calypso is advised for future kV-based tracking studies. The Gaussian PDF method is the most accurate 2D-3D inference method for tracking thoracic/abdominal targets. Motion magnitude has significant impact on 2D-3D inference error, and should be considered when estimating kV-based tracking error.
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Affiliation(s)
- Tim Montanaro
- ACRF Image X Institute, Sydney Medical School, University of Sydney, Camperdown, NSW, 2006, Australia
| | - Doan Trang Nguyen
- ACRF Image X Institute, Sydney Medical School, University of Sydney, Camperdown, NSW, 2006, Australia
| | - Paul J Keall
- ACRF Image X Institute, Sydney Medical School, University of Sydney, Camperdown, NSW, 2006, Australia
| | - Jeremy Booth
- Northern Sydney Cancer Centre, Royal North Shore Hospital, St Leonards, NSW, 2065, Australia
| | - Vincent Caillet
- ACRF Image X Institute, Sydney Medical School, University of Sydney, Camperdown, NSW, 2006, Australia
- Northern Sydney Cancer Centre, Royal North Shore Hospital, St Leonards, NSW, 2065, Australia
| | - Thomas Eade
- Northern Sydney Cancer Centre, Royal North Shore Hospital, St Leonards, NSW, 2065, Australia
| | - Carol Haddad
- Northern Sydney Cancer Centre, Royal North Shore Hospital, St Leonards, NSW, 2065, Australia
| | - Chun-Chien Shieh
- ACRF Image X Institute, Sydney Medical School, University of Sydney, Camperdown, NSW, 2006, Australia
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Lin AJ, Roach M, Bradley J, Robinson C. Combining stereotactic body radiation therapy with immunotherapy: current data and future directions. Transl Lung Cancer Res 2018; 8:107-115. [PMID: 30788240 DOI: 10.21037/tlcr.2018.08.16] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Stereotactic body radiation therapy (SBRT) offers excellent local control of early-stage non-small cell lung cancer (NSCLC), but there currently is a need for tolerable systemic therapy to address regional and distant disease progression. One potential option is immunotherapy, which in metastatic NSCLC has shown promise for sustained disease control in a subset of patients. There is also growing evidence for a clinical synergy between radiation and immunotherapy, with several ongoing trials studying the abscopal effect. This review summarizes the current data in the fast-changing field of immuno-radiation therapy, highlighting updates from recent clinical trials.
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Affiliation(s)
- Alexander J Lin
- Department of Radiation Oncology, Alvin J. Siteman Cancer Center, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Michael Roach
- Department of Radiation Oncology, Alvin J. Siteman Cancer Center, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Jeffrey Bradley
- Department of Radiation Oncology, Alvin J. Siteman Cancer Center, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Clifford Robinson
- Department of Radiation Oncology, Alvin J. Siteman Cancer Center, Washington University School of Medicine, St. Louis, Missouri, USA
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Mancosu P, Nisbet A, Jornet N. Editorial: The role of medical physics in lung SBRT. Phys Med 2018; 45:205-206. [PMID: 29325801 DOI: 10.1016/j.ejmp.2018.01.001] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/02/2018] [Accepted: 01/03/2018] [Indexed: 12/24/2022] Open
Abstract
Stereotactic body radiation therapy (SBRT) has become a standard treatment for non-operable patients with early stage non-small cell lung cancer (NSCLC). In this context, medical physics community has largely helped in the starting and the growth of this technique. In fact, SBRT requires the convergence of many different features for delivering large doses in few fractions to small moving target in an heterogeneous medium. The special issue of last month, was focused on the different physics challenges in lung SBRT. Eleven reviews were presented, covering: imaging for treatment planning and for treatment assessment; dosimetry and planning optimization; treatment delivery possibilities; image guidance during delivery; radiobiology. The current cutting edge role of medical physics was reported. We aimed to give a complete overview of different aspects of lung SBRT that would be of interest to both physicists implementing this technique in their institutions and more experienced physicists that would be inspired to start research projects in areas that still need further developments. We also feel that the role that medical physicists have played in the development and safe implementation of SBRT, particularly in lung region, can be taken as an excellent example to be translated to other areas, not only in Radiation Oncology but also in other health sectors.
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Affiliation(s)
- Pietro Mancosu
- Medical Physics service, Radiotherapy department, Humanitas Cancer Center, Rozzano-Milan, Italy.
| | - Andrew Nisbet
- Department of Medical Physics, Royal Surrey County Hospital, United Kingdom; Department of Physics, Faculty of Engineering & Physical Sciences, University of Surrey, United Kingdom
| | - Núria Jornet
- Servei de Radiofísica i Radioprotecció, Hospital Sant Pau, Barcelona, Spain
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Uchida Y, Tachibana H, Kamei Y, Kashihara K. Effectiveness of a simple and real-time baseline shift monitoring system during stereotactic body radiation therapy of lung tumors. Phys Med 2017; 43:100-106. [DOI: 10.1016/j.ejmp.2017.11.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2017] [Revised: 10/25/2017] [Accepted: 11/01/2017] [Indexed: 12/25/2022] Open
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50
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Dosimetric effect of uncorrected rotations in lung SBRT with stereotactic imaging guidance. Phys Med 2017; 42:197-202. [DOI: 10.1016/j.ejmp.2017.09.135] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2017] [Revised: 09/20/2017] [Accepted: 09/23/2017] [Indexed: 12/25/2022] Open
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