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Yang P, Shan J, Ge X, Zhou Q, Ding M, Niu T, Du J. Prediction of SBRT response in liver cancer by combining original and delta cone-beam CT radiomics: a pilot study. Phys Eng Sci Med 2024; 47:295-307. [PMID: 38165634 DOI: 10.1007/s13246-023-01366-w] [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: 03/15/2023] [Accepted: 12/06/2023] [Indexed: 01/04/2024]
Abstract
This study aims to explore the feasibility of utilizing a combination of original and delta cone-beam CT (CBCT) radiomics for predicting treatment response in liver tumors undergoing stereotactic body radiation therapy (SBRT). A total of 49 patients are included in this study, with 36 receiving 5-fraction SBRT, 3 receiving 4-fraction SBRT, and 10 receiving 3-fraction SBRT. The CBCT and planning CT images from liver cancer patients who underwent SBRT are collected to extract overall 547 radiomics features. The CBCT features which are reproducible and interchangeable with pCT are selected for modeling analysis. The delta features between fractions are calculated to depict tumor change. The patients with 4-fraction SBRT are only used for screening robust features. In patients receiving 5-fraction SBRT, the predictive ability of both original and delta CBCT features for two-level treatment response (local efficacy vs. local non-efficacy; complete response (CR) vs. partial response (PR)) is assessed by utilizing multivariable logistic regression with leave-one-out cross-validation. Additionally, univariate analysis is conducted to validate the capability of CBCT features in identifying local efficacy in patients receiving 3-fraction SBRT. In patients receiving 5-fraction SBRT, the combined models incorporating original and delta CBCT radiomics features demonstrate higher area under the curve (AUC) values compared to models using either original or delta features alone for both classification tasks. The AUC values for predicting local efficacy vs. local non-efficacy are 0.58 for original features, 0.82 for delta features, and 0.90 for combined features. For distinguishing PR from CR, the respective AUC values for original, delta and combined features are 0.79, 0.80, and 0.89. In patients receiving 3-fraction SBRT, eight valuable CBCT radiomics features are identified for predicting local efficacy. The combination of original and delta radiomics derived from fractionated CBCT images in liver cancer patients undergoing SBRT shows promise in providing comprehensive information for predicting treatment response.
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Affiliation(s)
- Pengfei Yang
- Peking University Aerospace School of Clinical Medicine, Aerospace Center Hospital, Beijing, 100049, China
- Institute of Biomedical Engineering, Shenzhen Bay Laboratory, Shenzhen, China
| | - Jingjing Shan
- Department of Radiation Oncology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Xin Ge
- School of Science, Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Qinxuan Zhou
- Department of Radiation Oncology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Mingchao Ding
- Peking University Aerospace School of Clinical Medicine, Aerospace Center Hospital, Beijing, 100049, China
| | - Tianye Niu
- Peking University Aerospace School of Clinical Medicine, Aerospace Center Hospital, Beijing, 100049, China.
- Institute of Biomedical Engineering, Shenzhen Bay Laboratory, Shenzhen, China.
| | - Jichen Du
- Peking University Aerospace School of Clinical Medicine, Aerospace Center Hospital, Beijing, 100049, China.
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Analysis of the amplitude changes and baseline shifts of respiratory motion using intra-fractional CBCT in liver stereotactic body radiation therapy. Phys Med 2021; 93:52-58. [PMID: 34942458 DOI: 10.1016/j.ejmp.2021.12.007] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Revised: 11/29/2021] [Accepted: 12/10/2021] [Indexed: 02/08/2023] Open
Abstract
PURPOSE Using intra-fractional cone-beam CT (CBCT) to evaluate the amplitude changes and baseline shifts of respiratory motion in liver stereotactic body radiation therapy (SBRT). METHODS The amplitude changes and baseline shifts of respiratory motion for 24 liver patients were evaluated by the four-dimensional (4D) CT, inter- and intra-fractional CBCT. The difference of the average liver position errors among all treatment fractions and the 4D CT representthe baseline shifts. According to the baseline shifts, the ITV to PTV margin was recalculated and the plan was re-designed to compare the dosimetric variation. RESULTS The systematic and random errors of the baseline shifts for intra-fractional CBCT in the left-right (LR), superior-inferior (SI), and anterior-posterior (AP) directions were 0.99/1.60 mm, 2.03/2.46 mm, and 1.02/2.07 mm, respectively. The new ITV to PTV margins should be 4.0 mm, 7.0 mm, and 4.0 mm, respectively. The amplitude change of motion between the 4D CT and the intra-fractional CBCT was 1.03 ± 4.35 mm, with 31% of fractions exceeding 5 mm. To achieve the same dose coverage of the new PTV, the Dmean, V50, V40, V30, V25 of normal liver and maximum dose of the duodenum were significantly different. CONCLUSIONS Significant amplitude changes and baseline shifts of motion occurred during dose delivery compared with those in 4D CT. Using the ITV to PTV margin of 4.0 mm (LR), 7.0 mm (SI), and 4.0 mm (AP) can ensure the target dose coverage and keep the dose constrain of normal tissues at an acceptable level.
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Sarudis S, Karlsson A, Bäck A. Surface guided frameless positioning for lung stereotactic body radiation therapy. J Appl Clin Med Phys 2021; 22:215-226. [PMID: 34406710 PMCID: PMC8425933 DOI: 10.1002/acm2.13370] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Revised: 03/10/2021] [Accepted: 07/05/2021] [Indexed: 12/25/2022] Open
Abstract
Background and purpose When treating lung tumors with stereotactic body radiation therapy (SBRT), patient immobilization is of outmost importance. In this study, the intra‐fractional shifts of the patient (based on bony anatomy) and the tumor (based on the visible target volume) are quantified, and the associated impact on the delivered dose is estimated for a frameless immobilization approach in combination with surface guided radiation therapy (SGRT) monitoring. Methods Cone beam computed tomographies (CBCT) were collected in free breathing prior and after each treatment for 25 patients with lung tumors, in total 137 fractions. The CBCT collected after each treatment was registered to the CBCT collected before each treatment with focus on bony anatomy to determine the shift of the patient, and with focus on the visible target volume to determine the shift of the tumor. Rigid registrations with 6 degrees of freedom were used. The patients were positioned in frameless immobilizations with their position and respiration continuously monitored by a commercial SGRT system. The patients were breathing freely within a preset gating window during treatment delivery. The beam was automatically interrupted if isocenter shifts >4 mm or breathing amplitudes outside the gating window were detected by the SGRT system. The time between the acquisition of the CBCTs was registered for each fraction to examine correlations between treatment time and patient shift. The impact of the observed shifts on the dose to organs at risk (OAR) and the gross tumor volume (GTV) was assessed. Results The shift of the patient in the CBCTs was ≤2 mm for 132/137 fractions in the vertical (vrt) and lateral (lat) directions, and 134/137 fractions in the longitudinal (lng) direction and ≤4 mm in 134/137 (vrt) and 137/137 (lat, lng) of the fractions. The shift of the tumor was ≤2 mm in 116/137 (vrt), 123/137 (lat) and 115/137 (lng) fractions and ≤4 mm in 136/137 (vrt), 137/137 (lat), and 135/137 (lng) fractions. The maximal observed shift in the evaluated CBCT data was 4.6 mm for the patient and 7.2 mm for the tumor. Rotations were ≤3.3ᵒ for all fractions and the mean/standard deviation were 0.2/1.0ᵒ (roll), 0.1/0.8ᵒ (yaw), and 0.3/1.0ᵒ (pitch). The SGRT system interrupted the beam due to intra‐fractional isocenter shifts >4 mm for 21% of the fractions, but the patients always returned within tolerance without the need of repositioning. The maximal observed isocenter shift by the SGRT system during the beam holds was 8 mm. For the respiration monitoring, the beam was interrupted at least one time for 54% of the fractions. The visual tumor was within the planned internal target volume (ITV) for 136/137 fractions in the evaluated CBCT data collected at the end of each fraction. For the fraction where the tumor was outside the ITV, the D98% for the GTV decreased with 0.4 Gy. For the OARs, the difference between planned and estimated dose from the CBCT data (D2% or Dmean) was ≤2.6% of the prescribed PTV dose. No correlation was found between treatment time and the magnitude of the patient shift. Conclusions Using SGRT for motion management and respiration monitoring in combination with a frameless immobilization is a feasible approach for lung SBRT.
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Affiliation(s)
- Sebastian Sarudis
- Department of Radiation Physics, Sahlgrenska Academy, University of Gothenburg, Göteborg, Sweden.,Department of Medical Physics, County Hospital Ryhov, Jönköping, Sweden
| | - Anna Karlsson
- Department of Radiation Physics, Sahlgrenska Academy, University of Gothenburg, Göteborg, Sweden.,Department of Therapeutic Radiation Physics, Sahlgrenska University Hospital, Göteborg, Sweden
| | - Anna Bäck
- Department of Radiation Physics, Sahlgrenska Academy, University of Gothenburg, Göteborg, Sweden.,Department of Therapeutic Radiation Physics, Sahlgrenska University Hospital, Göteborg, Sweden
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Schmitt D, Blanck O, Gauer T, Fix MK, Brunner TB, Fleckenstein J, Loutfi-Krauss B, Manser P, Werner R, Wilhelm ML, Baus WW, Moustakis C. Technological quality requirements for stereotactic radiotherapy : Expert review group consensus from the DGMP Working Group for Physics and Technology in Stereotactic Radiotherapy. Strahlenther Onkol 2020; 196:421-443. [PMID: 32211939 PMCID: PMC7182540 DOI: 10.1007/s00066-020-01583-2] [Citation(s) in RCA: 66] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2020] [Accepted: 01/13/2020] [Indexed: 12/25/2022]
Abstract
This review details and discusses the technological quality requirements to ensure the desired quality for stereotactic radiotherapy using photon external beam radiotherapy as defined by the DEGRO Working Group Radiosurgery and Stereotactic Radiotherapy and the DGMP Working Group for Physics and Technology in Stereotactic Radiotherapy. The covered aspects of this review are 1) imaging for target volume definition, 2) patient positioning and target volume localization, 3) motion management, 4) collimation of the irradiation and beam directions, 5) dose calculation, 6) treatment unit accuracy, and 7) dedicated quality assurance measures. For each part, an expert review for current state-of-the-art techniques and their particular technological quality requirement to reach the necessary accuracy for stereotactic radiotherapy divided into intracranial stereotactic radiosurgery in one single fraction (SRS), intracranial fractionated stereotactic radiotherapy (FSRT), and extracranial stereotactic body radiotherapy (SBRT) is presented. All recommendations and suggestions for all mentioned aspects of stereotactic radiotherapy are formulated and related uncertainties and potential sources of error discussed. Additionally, further research and development needs in terms of insufficient data and unsolved problems for stereotactic radiotherapy are identified, which will serve as a basis for the future assignments of the DGMP Working Group for Physics and Technology in Stereotactic Radiotherapy. The review was group peer-reviewed, and consensus was obtained through multiple working group meetings.
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Affiliation(s)
- Daniela Schmitt
- Klinik für Radioonkologie und Strahlentherapie, National Center for Radiation Research in Oncology (NCRO), Heidelberger Institut für Radioonkologie (HIRO), Universitätsklinikum Heidelberg, Heidelberg, Germany.
| | - Oliver Blanck
- Klinik für Strahlentherapie, Universitätsklinikum Schleswig-Holstein, Kiel, Germany
| | - Tobias Gauer
- Klinik für Strahlentherapie und Radioonkologie, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany
| | - Michael K Fix
- Abteilung für Medizinische Strahlenphysik und Universitätsklinik für Radio-Onkologie, Inselspital-Universitätsspital Bern, Universität Bern, Bern, Switzerland
| | - Thomas B Brunner
- Universitätsklinik für Strahlentherapie, Universitätsklinikum Magdeburg, Magdeburg, Germany
| | - Jens Fleckenstein
- Klinik für Strahlentherapie und Radioonkologie, Universitätsmedizin Mannheim, Universität Heidelberg, Mannheim, Germany
| | - Britta Loutfi-Krauss
- Klinik für Strahlentherapie und Onkologie, Universitätsklinikum Frankfurt, Frankfurt am Main, Germany
| | - Peter Manser
- Abteilung für Medizinische Strahlenphysik und Universitätsklinik für Radio-Onkologie, Inselspital-Universitätsspital Bern, Universität Bern, Bern, Switzerland
| | - Rene Werner
- Institut für Computational Neuroscience, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany
| | - Maria-Lisa Wilhelm
- Klinik für Strahlentherapie, Universitätsmedizin Rostock, Rostock, Germany
| | - Wolfgang W Baus
- Klinik für Radioonkologie, CyberKnife- und Strahlentherapie, Universitätsklinikum Köln, Cologne, Germany
| | - Christos Moustakis
- Klinik für Strahlentherapie-Radioonkologie, Universitätsklinikum Münster, Münster, Germany
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Baran G, Burmeister J, Paximadis P, Bossenberg T, Halford R, Masi K, Nalichowski A, Miller S, Vaishampayan N, Zaki M, Iannotti K, Komajda M, Mattews K, Qasim E, Sullivan S, Beydoun H, Dominello M. Imaging as Part of a Quality Assurance Program: Predictors of Interobserver Variability for Pretreatment Image Registration for Lung SBRT. Technol Cancer Res Treat 2019. [PMCID: PMC6732858 DOI: 10.1177/1533033819870795] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Purpose: To evaluate the magnitude of interobserver variability in pretreatment image
registration for lung stereotactic body radiation therapy patients in aggregate and
within 3 clinical subgroups and to determine methods to identify patients expected to
demonstrate larger variability. Methods and Materials: Retrospective image registration was performed for the first and last treatment
fraction for 10 lung stereotactic body radiation therapy patients by 16 individual
observers (5 physicians, 6 physicists, and 5 therapists). Registration translation
values were compared within and between subgroups overall and between the first and the
last fractions. Four metrics were evaluated as possible predictors for large
interobserver variability. Results: The mean 3-dimensional displacement vector for all patients over all comparisons was
2.4 ± 1.8 mm. Three patients had mean 3-dimensional vector differences >3 mm. This
cohort of patients showed a significant interfraction difference in variance
(P value = .01), increasing from first fraction to last. A
significant difference in interobserver variability was observed between physicians and
physicists (P value < .01) and therapists and physicists
(P value < .01) but not between physicians and therapists
(P value = .07). Three of the 4 quantities evaluated as potential
predictive metrics showed statistical correlation with increased interobserver
variation, including target excursion and local target/lung contrast. Conclusion: Variability in pretreatment image guidance represents an important treatment
consideration, particularly for stereotactic body radiation therapy, which employs small
margins and a small number of treatment fractions. As a result of the data presented
here, we have initiated weekly “registration rounds” to familiarize all staff physicians
with the target and normal anatomy for each stereotactic body radiation therapy patient
and minimize interobserver variations in image registration prior to treatment. The
metrics shown here are capable of identifying patients for which large interobserver
variations would be anticipated. These metrics may be used in the future to develop
thresholds for additional interventions to mitigate registration variations.
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Affiliation(s)
- Geoff Baran
- Department of Radiation Oncology, Karmanos Cancer Institute, Detroit, MI, USA
| | | | | | | | | | - Kathryn Masi
- Barbara Ann Karmanos Cancer Institute, Detroit, MI, USA
| | | | - Steven Miller
- Barbara Ann Karmanos Cancer Institute, Detroit, MI, USA
| | | | - Mark Zaki
- Covenant HealthCare, Saginaw, MI, USA
| | | | | | | | | | - Sean Sullivan
- Barbara Ann Karmanos Cancer Institute, Detroit, MI, USA
| | - Hassan Beydoun
- Department of Radiation Oncology, Karmanos Cancer Institute, Detroit, MI, USA
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Kesner A, Pan T, Zaidi H. Data-driven motion correction will replace motion-tracking devices in molecular imaging-guided radiation therapy treatment planning. Med Phys 2018; 45:3477-3480. [PMID: 29679489 DOI: 10.1002/mp.12928] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2018] [Accepted: 04/14/2018] [Indexed: 12/25/2022] Open
Affiliation(s)
- Adam Kesner
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Tinsu Pan
- Department of Imaging Physics, The University of Texas, M D Anderson Cancer Center, 1515 Holcombe Blvd., Unit 1352, Houston, TX, 77030-4009, USA
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Barrett S. On-Treatment Verification for Lung Stereotactic Ablative Radiation Therapy. J Med Imaging Radiat Sci 2017; 48:343-345. [PMID: 31047468 DOI: 10.1016/j.jmir.2017.09.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2017] [Revised: 09/12/2017] [Accepted: 09/12/2017] [Indexed: 12/25/2022]
Affiliation(s)
- Sarah Barrett
- Applied Radiation Therapy Trinity Research Group, Trinity College Dublin, The University of Dublin, Dublin 8, Ireland.
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Nakano M, Haga A, Kotoku J, Magome T, Masutani Y, Hanaoka S, Kida S, Nakagawa K. Cone-beam CT reconstruction for non-periodic organ motion using time-ordered chain graph model. Radiat Oncol 2017; 12:145. [PMID: 28870227 PMCID: PMC5584034 DOI: 10.1186/s13014-017-0879-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2017] [Accepted: 08/23/2017] [Indexed: 11/22/2022] Open
Abstract
Purpose The purpose of this study is to introduce the new concept of a four-dimensional (4D) cone-beam computed tomography (CBCT) reconstruction approach for non-periodic organ motion in cooperation with the time-ordered chain graph model (TCGM) and to compare it with previously developed methods such as total variation-based compressed sensing (TVCS) and prior-image constrained compressed sensing (PICCS). Materials and Methods Our proposed reconstruction is based on a model including the constraint originating from the images of neighboring time phases. Namely, the reconstructed time-series images depend on each other in this TCGM scheme, and the time-ordered images are concurrently reconstructed in the iterative reconstruction approach. In this study, iterative reconstruction with the TCGM was carried out with 90° projection ranges. The images reconstructed by the TCGM were compared with the images reconstructed by TVCS (200° projection ranges) and PICCS (90° projection ranges). Two kinds of projection data sets–an elliptic-cylindrical digital phantom and two clinical patients’ data–were used. For the digital phantom, an air sphere was contained and virtually moved along the longitudinal axis by 3 cm/30 s and 3 cm/60 s; the temporal resolution was evaluated by measuring the penumbral width of the air sphere. The clinical feasibility of the non-periodic time-ordered 4D CBCT image reconstruction was examined with the patient data in the pelvic region. Results In the evaluation of the digital-phantom reconstruction, the penumbral widths of the TCGM yielded the narrowest result; the results obtained by PICCS and TCGM using 90° projection ranges were 2.8% and 18.2% for 3 cm/30 s, and 5.0% and 23.1% for 3 cm/60 s narrower than that of TVCS using 200° projection ranges. This suggests that the TCGM has a better temporal resolution, whereas PICCS seems similar to TVCS. These reconstruction methods were also compared using patients’ projection data sets. Although all three reconstruction results showed motion related to rectal gas or stool, the result obtained by the TCGM was visibly clearer with less blurring. Conclusion The TCGM is a feasible approach to visualize non-periodic organ motion. The digital-phantom results demonstrated that the proposed method provides 4D image series with a better temporal resolution compared to TVCS and PICCS. The clinical patients’ results also showed that the present method enables us to visualize motion related to rectal gas and flatus in the rectum.
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Affiliation(s)
- Masahiro Nakano
- Department of Radiology, The University of Tokyo Hospital, Bunkyo-ku, Tokyo, 113-8655, Japan.,Department of Radiation Oncology, The Cancer Institute Hospital, Japanese Foundation for Cancer Research, Koto-ku, Tokyo, 135-8550, Japan
| | - Akihiro Haga
- Department of Radiology, The University of Tokyo Hospital, Bunkyo-ku, Tokyo, 113-8655, Japan.
| | - Jun'ichi Kotoku
- Faculty of Medical Technology, Teikyo University, Itabashi-ku, Tokyo, 173-8605, Japan
| | - Taiki Magome
- Faculty of Health Sciences, Komazawa University, Setagaya-ku, Tokyo, 154-8525, Japan
| | - Yoshitaka Masutani
- Faculty of Information Science, Hiroshima-City University, Hiroshima, 731-3194, Japan
| | - Shouhei Hanaoka
- Department of Radiology, The University of Tokyo Hospital, Bunkyo-ku, Tokyo, 113-8655, Japan
| | - Satoshi Kida
- School of Medicine, Gunma University, Maebashi, 371-8511, Japan
| | - Keiichi Nakagawa
- Department of Radiology, The University of Tokyo Hospital, Bunkyo-ku, Tokyo, 113-8655, Japan
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Oechsner M, Chizzali B, Devecka M, Münch S, Combs SE, Wilkens JJ, Duma MN. Interobserver variability of patient positioning using four different CT datasets for image registration in lung stereotactic body radiotherapy. Strahlenther Onkol 2017; 193:831-839. [PMID: 28726056 DOI: 10.1007/s00066-017-1184-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2017] [Accepted: 06/30/2017] [Indexed: 12/25/2022]
Abstract
PURPOSE To assess the impact of different reference CT datasets on manual image registration with free-breathing three-dimensional (3D) cone beam CTs (FB-CBCT) for patient positioning by several observers. METHODS For 48 patients with lung lesions, manual image registration with FB-CBCTs was performed by four observers. A slow planning CT (PCT), average intensity projection (AIP), maximum intensity projection (MIP), and midventilation CT (MidV) were used as reference images. Couch shift differences between the four reference CT datasets for each observer as well as shift differences between the observers for the same reference CT dataset were determined. Statistical analyses were performed and correlations between the registration differences and the 3D tumor motion and the CBCT score were calculated. RESULTS The mean 3D shift difference between different reference CT datasets was the smallest for AIPvsMIP (range 1.1-2.2 mm) and the largest for MidVvsPCT (2.8-3.5 mm) with differences >10 mm. The 3D shifts showed partially significant correlations to 3D tumor motion and CBCT score. The interobserver comparison for the same reference CTs resulted in the smallest ∆3D mean differences and mean ∆3D standard deviation for ∆AIP (1.5 ± 0.7 mm, 0.7 ± 0.4 mm). The maximal 3D shift difference between observers was 10.4 mm (∆MidV). Both 3D tumor motion and mean CBCT score correlated with the shift differences (Rs = 0.336-0.740). CONCLUSION The applied reference CT dataset impacts image registration and causes interobserver variabilities. The 3D tumor motion and CBCT quality affect shift differences. The smallest differences were found for AIP which might be the most appropriate CT dataset for image registration with FB-CBCT.
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Affiliation(s)
- Markus Oechsner
- Department of Radiation Oncology, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Str. 22, 81675, München, Germany. .,Zentrum für Stereotaxie und personalisierte Hochpräzisionsstrahlentherapie (StereotakTUM), Technical University of Munich, Munich, Germany.
| | - Barbara Chizzali
- Department of Radiation Oncology, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Str. 22, 81675, München, Germany
| | - Michal Devecka
- Department of Radiation Oncology, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Str. 22, 81675, München, Germany
| | - Stefan Münch
- Department of Radiation Oncology, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Str. 22, 81675, München, Germany
| | - Stephanie Elisabeth Combs
- Department of Radiation Oncology, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Str. 22, 81675, München, Germany.,Zentrum für Stereotaxie und personalisierte Hochpräzisionsstrahlentherapie (StereotakTUM), Technical University of Munich, Munich, Germany.,Institute of Innovative Radiotherapy (iRT), Helmholtz Zentrum München, Munich, Germany
| | - Jan Jakob Wilkens
- Department of Radiation Oncology, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Str. 22, 81675, München, Germany.,Zentrum für Stereotaxie und personalisierte Hochpräzisionsstrahlentherapie (StereotakTUM), Technical University of Munich, Munich, Germany.,Institute of Innovative Radiotherapy (iRT), Helmholtz Zentrum München, Munich, Germany
| | - Marciana Nona Duma
- Department of Radiation Oncology, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Str. 22, 81675, München, Germany.,Zentrum für Stereotaxie und personalisierte Hochpräzisionsstrahlentherapie (StereotakTUM), Technical University of Munich, Munich, Germany.,Institute of Innovative Radiotherapy (iRT), Helmholtz Zentrum München, Munich, Germany
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10
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van den Bosch M, Öllers M, Reymen B, van Elmpt W. Automatic selection of lung cancer patients for adaptive radiotherapy using cone-beam CT imaging. PHYSICS & IMAGING IN RADIATION ONCOLOGY 2017. [DOI: 10.1016/j.phro.2017.02.005] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
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