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Benner K, Roper J, Kesarwala AH, Fehrs S, Schreibmann E, Luca K. Lung SBRT: Dose gradient optimization based on target size. Med Dosim 2024:S0958-3947(24)00044-X. [PMID: 39261153 DOI: 10.1016/j.meddos.2024.08.003] [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: 07/03/2024] [Revised: 08/06/2024] [Accepted: 08/07/2024] [Indexed: 09/13/2024]
Abstract
This study investigated optimization settings that steepen the dose gradient as a function of target size for lung stereotactic body radiation therapy (SBRT). Sixty-eight lung SBRT patients with planning target volumes (PTVs) ranging from 2-203 cc were categorized into small (<20 cc), medium (20-50 cc), and large (>50 cc) groups. VMAT plans were generated using the normal tissue objective (NTO) to penalize the dose gradient at progressively steeper NTO fall-off values (0.1, 0.2, 0.3, 0.4, 0.5 mm-1). Dose was calculated using the AcurosXB algorithm and was normalized so the prescription dose covered 95% of the PTV. Mann-Whitney, Kruskal-Wallis and ANOVA tests were used to assess for statistical differences in the Conformity Index at the 50% isodose level (CI50%), global maximum dose (Dmax), and monitor units (MU) across the various NTO settings. All plans adhered to institutional criteria and met the guidelines of the Radiation Therapy Oncology Group 0813. Steeper NTO fall-off values significantly increased Dmax and MUs across all groups (p < 0.05). CI50% significantly differed with fall-off values in small (0.3 mm-1) and medium (0.2 mm-1) targets, indicating steeper NTO fall-off values improve CI50% for small and medium targets (p < 0.05). Large targets showed no significant CI50% difference across these fall-off values. As target size increases, the importance of fall-off values in achieving an acceptable CI50% diminishes. Smaller targets benefit from steeper fall-off values despite increased Dmax and MUs. Consideration of fall-off value relative to target size is crucial to limit dose spillage outside the target.
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Affiliation(s)
- Kathryn Benner
- Department of Radiation Oncology, Winship Cancer Institute, Emory University School of Medicine, Atlanta, GA, USA
| | - Justin Roper
- Department of Radiation Oncology, Winship Cancer Institute, Emory University School of Medicine, Atlanta, GA, USA
| | - Aparna H Kesarwala
- Department of Radiation Oncology, Winship Cancer Institute, Emory University School of Medicine, Atlanta, GA, USA
| | - Seth Fehrs
- Department of Radiation Oncology, Winship Cancer Institute, Emory University School of Medicine, Atlanta, GA, USA
| | - Eduard Schreibmann
- Department of Radiation Oncology, Winship Cancer Institute, Emory University School of Medicine, Atlanta, GA, USA
| | - Kirk Luca
- Department of Radiation Oncology, Winship Cancer Institute, Emory University School of Medicine, Atlanta, GA, USA.
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Luca K, Kesarwala AH, Benner K, Tian S, Thomas M, Schreibmann E, Roper J. A lung SBRT treatment planning technique to focus high dose on gross disease. Med Dosim 2024:S0958-3947(24)00040-2. [PMID: 39256067 DOI: 10.1016/j.meddos.2024.07.007] [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: 04/22/2024] [Revised: 06/20/2024] [Accepted: 07/26/2024] [Indexed: 09/12/2024]
Abstract
This study investigated a straightforward treatment planning technique for definitive stereotactic body radiation therapy (SBRT) for patients with early-stage lung cancer aimed at increasing dose to gross disease by strategically penalizing the normal tissue objective (NTO) in the EclipseTM treatment planning system. Twenty-five SBRT cases were replanned to 50 Gy in 5 fractions using static and dynamic NTO methods (50 plans total). The NTO had a start dose of 100% at the target border, end dose of 20%, fall-off rate of 0.4/mm, and a priority of 150. For the static NTO plans, a lower planning target volume (PTV) objective was placed at 52 Gy with a priority of 100. Maximum dose was not penalized. Optimization was performed without user interaction. In contrast, the planner incrementally increased the priority of the NTO on the dynamic NTO plans until 95% of the target volume was covered by the prescription dose. Further, the dynamic NTO plans used both PTV lower and upper objectives at 63-64 Gy with priorities of 50. Maximum dose was penalized to ensure that the hot spot was within ± 2% of the static NTO global maximum dose. Following optimization, all plans were normalized so that the prescription dose covered 95% of the PTV. Plans were scored based on RTOG 0813 criteria, and dose to the internal target volume (ITV) and PTV was evaluated. The Wilcoxon signed-rank test (threshold = 0.05) was used to evaluate differences between the static and dynamic NTO plans. All plans met RTOG 0813 planning guidelines. In comparison to the static NTO plans, the dynamic NTO plans exhibited statistically significant increases in PTV mean dose, ITV mean dose, and PTV-ITV mean dose. Notably, the dynamic NTO plans more effectively concentrated the high dose on gross disease at the center of the PTV. As compared to the static NTO plans, the mean dose was 4.6 Gy higher in the ITV while only 1.3 Gy higher in the PTV-ITV rind of the dynamic NTO plans. Global maximum doses were similar. There were some small yet statistically significant differences in dose conformity between plan types. Furthermore, the dynamic NTO plans demonstrated a significant reduction in total monitor units (MU). This study demonstrated an efficient optimization strategy for lung SBRT plans that concentrates the highest dose in the gross disease, which may improve local control.
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Affiliation(s)
- Kirk Luca
- Department of Radiation Oncology, Emory University School of Medicine, Atlanta, GA, USA.
| | - Aparna H Kesarwala
- Department of Radiation Oncology, Emory University School of Medicine, Atlanta, GA, USA
| | - Kathryn Benner
- Department of Radiation Oncology, Emory University School of Medicine, Atlanta, GA, USA
| | - Sibo Tian
- Department of Radiation Oncology, Emory University School of Medicine, Atlanta, GA, USA
| | - Matthew Thomas
- Department of Radiation Oncology, Roper St. Francis Healthcare, Charleston, SC, USA
| | - Eduard Schreibmann
- Department of Radiation Oncology, Emory University School of Medicine, Atlanta, GA, USA
| | - Justin Roper
- Department of Radiation Oncology, Emory University School of Medicine, Atlanta, GA, USA
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Carver A, Scaggion A, Jurado-Bruggeman D, Blanck O, Dalqvist E, Romana Giglioli F, Jenko A, Karlsson K, Staykova V, Swinnnen A, Warren S, Mancosu P, Jornet N. Treatment planning and delivery practice of lung SBRT: Results of the 2022 ESTRO physics survey. Radiother Oncol 2024; 196:110318. [PMID: 38702015 DOI: 10.1016/j.radonc.2024.110318] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Revised: 03/18/2024] [Accepted: 04/25/2024] [Indexed: 05/06/2024]
Abstract
BACKGROUND AND PURPOSE The use of Stereotactic Body Radiation Therapy (SBRT) in lung cancer is increasing. However, there is no consensus on the most appropriate treatment planning and delivery practice for lung SBRT. To gauge the range of practice, quantify its variability and identify where consensus might be achieved, ESTRO surveyed the medical physics community. MATERIALS AND METHODS An online survey was distributed to ESTRO's physicist membership in 2022, covering experience, dose and fractionation, target delineation, dose calculation and planning practice, imaging protocols, and quality assurance. RESULTS Two-hundred and forty-four unique answers were collected after data cleaning. Most respondents were from Europe the majority of which had more than 5 years' experience in SBRT. The large majority of respondents deliver lung SBRT with the VMAT technique on C-arm Linear Accelerators (Linacs) employing daily pre-treatment CBCT imaging. A broad spectrum of fractionation schemes were reported, alongside an equally wide range of dose prescription protocols. A clear preference was noted for prescribing to 95% or greater of the PTV. Several issues emerged regarding the dose calculation algorithm: 22% did not state it while 24% neglected to specify the conditions under which the dose was calculated. Contouring was usually performed on Maximum or Average Intensity Projection images while dose was mainly computed on the latter. No clear indications emerged for plan homogeneity, complexity, and conformity assessment. Approximately 40% of the responders participated in inter-centre credentialing of SBRT in the last five years. Substantial differences emerged between high and low experience centres, with the latter employing less accurate algorithms and older equipment. CONCLUSION The survey revealed an evident heterogeneity in numerous aspects of the clinical implementation of lung SBRT treatments. International guidelines and codes of practice might promote harmonisation.
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Affiliation(s)
- Antony Carver
- University Hospitals Birmingham NHS Foundation Trust, Department of Medical Physics, Birmingham, United Kingdom
| | - Alessandro Scaggion
- Medical Physics Department, Veneto Institute of Oncology IOV - IRCCS, Padova, Italy
| | - Diego Jurado-Bruggeman
- Institut Català d'Oncologia, Medical Physics and Radiation Protection Department, Girona, Spain
| | - Oliver Blanck
- University Medical Center Schleswig-Holstein, Department of Radiation Oncology, Kiel, Germany
| | - Emmy Dalqvist
- Karolinska University Hospital, Radiotherapy Physics and Engineering, Medical Radiation Physics and Nuclear Medicine, Stockholm, Sweden; KarolinskaInstitutet, Department of Oncology-Pathology, Stockholm, Sweden
| | | | - Aljasa Jenko
- Institute of Oncology Ljubljana, Department of Radiotherapy, Ljubljana, Slovenia
| | - Kristin Karlsson
- Karolinska University Hospital, Radiotherapy Physics and Engineering, Medical Radiation Physics and Nuclear Medicine, Stockholm, Sweden; KarolinskaInstitutet, Department of Oncology-Pathology, Stockholm, Sweden
| | - Vanya Staykova
- Guy's and St Thomas' NHS Foundation Trust, Radiotherapy Physics, London, United Kingdom
| | - Ans Swinnnen
- GROW School for Oncology, Maastricht University Medical Centre+, Department of Radiation Oncology (Maastro), Maastricht, The Netherlands
| | - Samantha Warren
- Northern Centre for Cancer Care, Freeman Hospital, Department of Medical Physics, Newcastle Upon Tyne, United Kingdom
| | - Pietro Mancosu
- IRCCS Humanitas Research Hospital, Medical Physics Unit, Department of Radiotherapy and Radiosurgery, Rozzano-Milan, Italy.
| | - Nuria Jornet
- Hospital de la Santa Creu i Sant Pau, Servei de Radiofísica i Radioprotecció, Barcelona, Spain
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Braschi EL, Morris CG, Yeung AR, De Leo AN. Impact of Maximum Point Dose Within the Planning Target Volume on Local Control of Nonsmall Cell Lung Cancer Treated With Stereotactic Body Radiotherapy. Am J Clin Oncol 2024; 47:217-222. [PMID: 38148589 DOI: 10.1097/coc.0000000000001081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2023]
Abstract
BACKGROUND No consensus exists on the maximum dose delivered to the planning target volume (PTV) in the delivery of stereotactic body radiotherapy (SBRT) for primary lung cancer. We investigated whether higher biologically effective doses (BED) within the PTV were associated with improved tumor control. METHODS We reviewed patients with early-stage, node-negative nonsmall cell lung cancer who received curative-intent SBRT between 2005 and 2018. We calculated the maximum BED (maxBED) within the PTV for all patients, analyzing outcomes using the cumulative incidence method and Fine-Gray test statistics to assess prognostic impact. RESULTS We analyzed 171 patients (median age, 70.2; range, 43 to 90 y) with 181 lung nodules. Median follow-up was 2.7 years (range, 0.1 to 12 y) for all patients and 4.2 years (range, 0.2 to 8.4 y) for living patients. Median maximum tumor diameter was 1.9 cm (range, 0.7 to 5.6 cm). Patients received a prescription of 48 or 50 Gy in 4 or 5 fractions, respectively, except for one who received 60 Gy in 5 fractions. Median maxBED was 120 Gy (range, 101 to 171 Gy). There was no difference in the 3-year local control (LC) rate among patients treated with a maxBED<120 Gy versus ≥120 Gy ( P =0.83). CONCLUSIONS No significant differences in LC were observed between patients with early-stage nonsmall cell lung cancer treated with SBRT in 4 or 5 fractions with a maxBED≥120 Gy. However, a higher maxBED trended toward improved LC rates, suggesting a maxBED threshold greater than 120 Gy may be needed to improve LC rates.
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Affiliation(s)
- Erica L Braschi
- Department of Radiation Oncology, University of Florida College of Medicine, Gainesville, FL
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Mutsaers A, Li G, Fernandes J, Ali S, Barnes E, Chen H, Czarnota G, Karam I, Moore-Palhares D, Poon I, Soliman H, Vesprini D, Cheung P, Louie A. Uncovering the armpit of SBRT: An institutional experience with stereotactic radiation of axillary metastases. Clin Transl Radiat Oncol 2024; 45:100730. [PMID: 38317679 PMCID: PMC10839264 DOI: 10.1016/j.ctro.2024.100730] [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] [Received: 08/13/2023] [Revised: 01/15/2024] [Accepted: 01/16/2024] [Indexed: 02/07/2024] Open
Abstract
Purpose/objectives The growing use of stereotactic body radiotherapy (SBRT) in metastatic cancer has led to its use in varying anatomic locations. The objective of this study was to review our institutional SBRT experience for axillary metastases (AM), focusing on outcomes and process. Materials/methods Patients treated with SBRT to AM from 2014 to 2022 were reviewed. Cumulative incidence functions were used to estimate the incidence of local failure (LF), with death as competing risk. Kaplan-Meier method was used to estimate progression-free (PFS) and overall survival (OS). Univariate regression analysis examined predictors of LF. Results We analyzed 37 patients with 39 AM who received SBRT. Patients were predominantly female (60 %) and elderly (median age: 72). Median follow-up was 14.6 months. Common primary cancers included breast (43 %), skin (19 %), and lung (14 %). Treatment indication included oligoprogression (46 %), oligometastases (35 %) and symptomatic progression (19 %). A minority had prior overlapping radiation (18 %) or surgery (11 %). Most had prior systemic therapy (70 %).Significant heterogeneity in planning technique was identified; a minority of patient received 4-D CT scans (46 %), MR-simulation (21 %), or contrast (10 %). Median dose was 40 Gy (interquartile range (IQR): 35-40) in 5 fractions, (BED10 = 72 Gy). Seventeen cases (44 %) utilized a low-dose elective volume to cover remaining axilla.At first assessment, 87 % had partial or complete response, with a single progression. Of symptomatic patients (n = 14), 57 % had complete resolution and 21 % had improvement. One and 2-year LF rate were 16 % and 20 %, respectively. Univariable analysis showed increasing BED reduced risk of LF. Median OS was 21.0 months (95 % [Confidence Interval (CI)] 17.3-not reached) and median PFS was 7.0 months (95 % [CI] 4.3-11.3). Two grade 3 events were identified, and no grade 4/5. Conclusion Using SBRT for AM demonstrated low rates of toxicity and LF, and respectable symptom improvement. Variation in treatment delivery has prompted development of an institutional protocol to standardize technique and increase efficiency. Limited followup may limit detection of local failure and late toxicity.
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Affiliation(s)
- A. Mutsaers
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Hospital, University of Toronto, Canada
| | - G.J. Li
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Hospital, University of Toronto, Canada
| | - J.S. Fernandes
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Hospital, University of Toronto, Canada
| | - S. Ali
- Department of Radiation Therapy, Odette Cancer Centre, Sunnybrook Hospital, University of Toronto, Canada
| | - E.A. Barnes
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Hospital, University of Toronto, Canada
| | - H. Chen
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Hospital, University of Toronto, Canada
| | - G.J. Czarnota
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Hospital, University of Toronto, Canada
| | - I. Karam
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Hospital, University of Toronto, Canada
| | - D. Moore-Palhares
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Hospital, University of Toronto, Canada
| | - I. Poon
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Hospital, University of Toronto, Canada
| | - H. Soliman
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Hospital, University of Toronto, Canada
| | - D. Vesprini
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Hospital, University of Toronto, Canada
| | - P. Cheung
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Hospital, University of Toronto, Canada
| | - A.V. Louie
- Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Hospital, University of Toronto, Canada
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Lucia F, Louis T, Cousin F, Bourbonne V, Visvikis D, Mievis C, Jansen N, Duysinx B, Le Pennec R, Nebbache M, Rehn M, Hamya M, Geier M, Salaun PY, Schick U, Hatt M, Coucke P, Hustinx R, Lovinfosse P. Multicentric development and evaluation of [ 18F]FDG PET/CT and CT radiomic models to predict regional and/or distant recurrence in early-stage non-small cell lung cancer treated by stereotactic body radiation therapy. Eur J Nucl Med Mol Imaging 2024; 51:1097-1108. [PMID: 37987783 DOI: 10.1007/s00259-023-06510-y] [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: 08/29/2023] [Accepted: 11/03/2023] [Indexed: 11/22/2023]
Abstract
PURPOSE To develop machine learning models to predict regional and/or distant recurrence in patients with early-stage non-small cell lung cancer (ES-NSCLC) after stereotactic body radiation therapy (SBRT) using [18F]FDG PET/CT and CT radiomics combined with clinical and dosimetric parameters. METHODS We retrospectively collected 464 patients (60% for training and 40% for testing) from University Hospital of Liège and 63 patients from University Hospital of Brest (external testing set) with ES-NSCLC treated with SBRT between 2010 and 2020 and who had undergone pretreatment [18F]FDG PET/CT and planning CT. Radiomic features were extracted using the PyRadiomics toolbox®. The ComBat harmonization method was applied to reduce the batch effect between centers. Clinical, radiomic, and combined models were trained and tested using a neural network approach to predict regional and/or distant recurrence. RESULTS In the training (n = 273) and testing sets (n = 191 and n = 63), the clinical model achieved moderate performances to predict regional and/or distant recurrence with C-statistics from 0.53 to 0.59 (95% CI, 0.41, 0.67). The radiomic (original_firstorder_Entropy, original_gldm_LowGrayLevelEmphasis and original_glcm_DifferenceAverage) model achieved higher predictive ability in the training set and kept the same performance in the testing sets, with C-statistics from 0.70 to 0.78 (95% CI, 0.63, 0.88) while the combined model performs moderately well with C-statistics from 0.50 to 0.62 (95% CI, 0.37, 0.69). CONCLUSION Radiomic features extracted from pre-SBRT analog and digital [18F]FDG PET/CT outperform clinical parameters in the prediction of regional and/or distant recurrence and to discuss an adjuvant systemic treatment in ES-NSCLC. Prospective validation of our models should now be carried out.
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Affiliation(s)
- François Lucia
- Radiation Oncology Department, University Hospital, Brest, France.
- LaTIM, INSERM, UMR 1101, Univ Brest, Brest, France.
- Division of Nuclear Medicine and Oncological Imaging, University Hospital of Liège, Liège, Belgium.
- Service de Radiothérapie, CHRU Morvan, 2 Avenue Foch, 29609 Cedex, Brest, France.
| | - Thomas Louis
- Division of Nuclear Medicine and Oncological Imaging, University Hospital of Liège, Liège, Belgium
| | - François Cousin
- Division of Nuclear Medicine and Oncological Imaging, University Hospital of Liège, Liège, Belgium
| | - Vincent Bourbonne
- Radiation Oncology Department, University Hospital, Brest, France
- LaTIM, INSERM, UMR 1101, Univ Brest, Brest, France
| | | | - Carole Mievis
- Department of Radiotherapy Oncology, University Hospital of Liège, Liège, Belgium
| | - Nicolas Jansen
- Department of Radiotherapy Oncology, University Hospital of Liège, Liège, Belgium
| | | | - Romain Le Pennec
- Nuclear Medicine Department, University Hospital, Brest, France
- GETBO, INSERM, UMR 1304, University of Brest, UBO, Brest, France
| | - Malik Nebbache
- Radiation Oncology Department, University Hospital, Brest, France
| | - Martin Rehn
- Radiation Oncology Department, University Hospital, Brest, France
| | - Mohamed Hamya
- Radiation Oncology Department, University Hospital, Brest, France
| | - Margaux Geier
- Medical Oncology Department, University Hospital, Brest, France
| | - Pierre-Yves Salaun
- Nuclear Medicine Department, University Hospital, Brest, France
- GETBO, INSERM, UMR 1304, University of Brest, UBO, Brest, France
| | - Ulrike Schick
- Radiation Oncology Department, University Hospital, Brest, France
- LaTIM, INSERM, UMR 1101, Univ Brest, Brest, France
| | - Mathieu Hatt
- LaTIM, INSERM, UMR 1101, Univ Brest, Brest, France
| | - Philippe Coucke
- Department of Radiotherapy Oncology, University Hospital of Liège, Liège, Belgium
| | - Roland Hustinx
- Division of Nuclear Medicine and Oncological Imaging, University Hospital of Liège, Liège, Belgium
- GIGA-CRC In Vivo Imaging, University of Liège, Liège, Belgium
| | - Pierre Lovinfosse
- Division of Nuclear Medicine and Oncological Imaging, University Hospital of Liège, Liège, Belgium
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Lucia F, Mievis C, Jansen N, Duysinx B, Cousin F, Louis T, Baiwir M, Ernst C, Wonner M, Hustinx R, Lovinfosse P, Coucke P. Predictive clinical and dosimetric parameters for risk of relapse in early-stage non-small cell lung cancer treated by SBRT: A large single institution experience. Clin Transl Radiat Oncol 2024; 45:100720. [PMID: 38288310 PMCID: PMC10823062 DOI: 10.1016/j.ctro.2023.100720] [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] [Received: 04/25/2023] [Revised: 11/30/2023] [Accepted: 12/30/2023] [Indexed: 01/31/2024] Open
Abstract
Purpose To evaluate the impact of dosimetric parameters on efficacy of stereotactic body radiation therapy (SBRT) in early-stage non-small cell lung cancer (ES-NSCLC), using Hypofractionated Treatment Effects in the Clinic (HyTEC) reporting standards. Methods From April 2010 to December 2020, 497 patients who received SBRT for ES-NSCLC at the University Hospital of Liège were retrospectively enrolled. A total dose of 40 to 60 Gy in 3-5 fractions (72-180 Gy biologically effective dose with an α/β ratio of 10 (BED10)) was prescribed to the 80 % isodose line of the PTV. Potential clinical and dosimetric predictors of recurrence, overall survival (OS) and disease specific survival (DSS) were evaluated using univariate and multivariate analyses. Results After a median follow-up of 32 months (range 3-143 months), the local control and disease-free survival (DFS) rates at 3 years were 91 % (95 % CI: 90 %-93 %) and 75 % (95 % CI: 73 %-77 %), respectively. The median OS was 41.6 months and the median DSS was not reached. On multivariate analysis, a higher gross tumor volume (GTV) Dmax (BED10) (cut-off 198 Gy) and a larger percent of the GTV receiving ≥110 % of the prescribed dose were predictive of a better local control, only GTV volume was correlated with DSS and no parameter was correlated with OS and regional or distant recurrences. Conclusion Lung SBRT for ES-NSCLC in 3 to 5 fractions resulted in high local control rates. A higher percent of GTV receiving ≥110 % of the prescribed dose and a higher GTV Dmax (BED10) seem to allow a better local control.
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Affiliation(s)
- François Lucia
- Radiation Oncology Department, University Hospital, Brest, France
- LaTIM, INSERM, UMR 1101, Univ Brest, Brest, France
- Division of Nuclear Medicine and Oncological Imaging, University Hospital of Liège, Liège, Belgium
| | - Carole Mievis
- Department of Radiotherapy Oncology, University Hospital of Liège, Liège, Belgium
| | - Nicolas Jansen
- Department of Radiotherapy Oncology, University Hospital of Liège, Liège, Belgium
| | | | - François Cousin
- Division of Nuclear Medicine and Oncological Imaging, University Hospital of Liège, Liège, Belgium
| | - Thomas Louis
- Division of Nuclear Medicine and Oncological Imaging, University Hospital of Liège, Liège, Belgium
| | - Manon Baiwir
- Department of Radiotherapy Oncology, University Hospital of Liège, Liège, Belgium
| | - Christelle Ernst
- Department of Radiotherapy Oncology, University Hospital of Liège, Liège, Belgium
| | - Michel Wonner
- Department of Radiotherapy Oncology, University Hospital of Liège, Liège, Belgium
| | - Roland Hustinx
- Division of Nuclear Medicine and Oncological Imaging, University Hospital of Liège, Liège, Belgium
| | - Pierre Lovinfosse
- Division of Nuclear Medicine and Oncological Imaging, University Hospital of Liège, Liège, Belgium
| | - Philippe Coucke
- Department of Radiotherapy Oncology, University Hospital of Liège, Liège, Belgium
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8
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Owen D, Siva S, Salama JK, Daly M, Kruser TJ, Giuliani M. Some Like It Hot: The Value of Dose and Hot Spots in Lung Stereotactic Body Radiation Therapy. Int J Radiat Oncol Biol Phys 2023; 117:1-5. [PMID: 37574234 DOI: 10.1016/j.ijrobp.2023.03.056] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Accepted: 03/20/2023] [Indexed: 08/15/2023]
Affiliation(s)
- Dawn Owen
- Department of Radiation Oncology, Mayo Clinic, Rochester, Minnesota.
| | - Shankar Siva
- Department of Radiation Oncology, Peter MacCallum Cancer Center, Victoria, Australia
| | - Joseph K Salama
- Department of Radiation Oncology, Duke University School of Medicine, Durham, North Carolina
| | - Megan Daly
- Department of Radiation Oncology, University of California, Davis, California
| | - Timothy J Kruser
- University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Meredith Giuliani
- Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada
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Li F, Jiang H, Bu M, Mu X, Zhao H. Dose-effect relationship of stereotactic body radiotherapy in non-small cell lung cancer patients. Radiat Oncol 2022; 17:211. [PMID: 36564845 PMCID: PMC9789627 DOI: 10.1186/s13014-022-02183-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 12/19/2022] [Indexed: 12/24/2022] Open
Abstract
OBJECTIVE To establish the dose effect relationship between the dose parameters of stereotactic body radiation therapy (SBRT) for early non-small cell lung cancer (NSCLC) and the local tumor control rate. MATERIALS AND METHODS A comprehensive literature search was conducted using PubMed, the Web of Science and the Cochrane databases to determine the articles treated with SBRT in early-stage NSCLC. Original studies with complete prescription dose information, tumor local control rate and other important parameters were screened and reported. Probit model in XLSTAT 2016 was used for regression analysis, and P < 0.05 was set as a statistically significant level. RESULTS After literature screening, 22 eligible studies were included in probit model regression analysis, involving 1861 patients. There is no significant dose effect relationship between nominal BED10 and peripheral BED10 versus 3 years local control probability. There were significant dose effect relationships between the center BED10 and the average BED10 versus the 3 years local control probability, with P values are 0.001 and < 0.0001, respectively. According to the results of this model, the 3 years local control rate of 90.5% (87.5-92.1%) and 89.5% (86.7-91.0%) can be expected at the center BED10 of 180 Gy or the average BED10 of 140 Gy, prospectively. CONCLUSIONS For NSCLC treated with SBRT, more attention should be paid to the central dose and average dose of PTV. A set of clear definition in the dose prescription should be established to ensure the effectiveness and comparability of treatment.
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Affiliation(s)
- Fei Li
- grid.415954.80000 0004 1771 3349Department of Radiation Oncology, China-Japan Union Hospital of Jilin University, No. 126, Xiantai Street, Changchun, 130033 Jilin People’s Republic of China
| | - Hairong Jiang
- Department of Geriatrics, Jilin City Hospital of Chemical Industry, Jilin, 130022 Jilin People’s Republic of China
| | - Mingwei Bu
- Department of Radiation Oncology, Guowen Medical Corporation Changchun Hospital, Changchun, 130028 Jilin People’s Republic of China
| | - Xin Mu
- Department of Radiation Oncology, Jilin City Hospital of Chemical Industry, Jilin, 130022 Jilin People’s Republic of China
| | - Hongfu Zhao
- grid.415954.80000 0004 1771 3349Department of Radiation Oncology, China-Japan Union Hospital of Jilin University, No. 126, Xiantai Street, Changchun, 130033 Jilin People’s Republic of China
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