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Tvilum M, Knap MM, Hoffmann L, Khalil AA, Appelt AL, Haraldsen A, Alber M, Grau C, Schmidt HH, Kandi M, Holt MI, Lutz CM, Møller DS. Early radiologic and metabolic tumour response assessment during combined chemo-radiotherapy for locally advanced NSCLC. Clin Transl Radiat Oncol 2024; 45:100737. [PMID: 38317680 PMCID: PMC10839576 DOI: 10.1016/j.ctro.2024.100737] [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: 11/02/2023] [Revised: 01/20/2024] [Accepted: 01/21/2024] [Indexed: 02/07/2024] Open
Abstract
Background The role of early treatment response for patients with locally advanced non-small cell lung cancer (LA-NSCLC) treated with concurrent chemo-radiotherapy (cCRT) is unclear. The study aims to investigate the predictive value of response to induction chemotherapy (iCX) and the correlation with pattern of failure (PoF). Materials and methods Patients with LA-NSCLC treated with cCRT were included for analyses (n = 276). Target delineations were registered from radiotherapy planning PET/CT to diagnostic PET/CT, in between which patients received iCX. Volume, sphericity, and SUVpeak were extracted from each scan. First site of failure was categorised as loco-regional (LR), distant (DM), or simultaneous LR+M (LR+M). Fine and Gray models for PoF were performed: a baseline model (including performance status (PS), stage, and histology), an image model for squamous cell carcinoma (SCC), and an image model for non-SCC. Parameters included PS, volume (VOL) of tumour, VOL of lymph nodes, ΔVOL, sphericity, SUVpeak, ΔSUVpeak, and oligometastatic disease. Results Median follow-up was 7.6 years. SCC had higher sub-distribution hazard ratio (sHR) for LRF (sHR = 2.771 [1.577:4.87], p < 0.01) and decreased sHR for DM (sHR = 0.247 [0.125:0.485], p < 0.01). For both image models, high diagnostic SUVpeak increased risk of LRF (sHR = 1.059 [1.05:1.106], p < 0.01 for SCC, sHR = 1.12 [1.03:1.21], p < 0.01 for non-SCC). Patients with SCC and less decrease in VOL had higher sHR for DM (sHR = 1.025[1.001:1.048] pr. % increase, p = 0.038). Conclusion Poor response in disease volume was correlated with higher sHR of DM for SCC, no other clear correlation of response and PoF was observed. Histology significantly correlated with PoF with SCC prone to LRF and non-SCC prone to DM as first site of failure. High SUVpeak at diagnosis increased the risk of LRF for both histologies.
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Affiliation(s)
- Marie Tvilum
- Department of Oncology, Aarhus University Hospital, Denmark
- Danish Center for Particle Therapy, Aarhus University Hospital, Denmark
| | | | - Lone Hoffmann
- Department of Oncology, Aarhus University Hospital, Denmark
- Department of Clinical Medicine, Faculty of Health Sciences, Aarhus University, Denmark
| | | | - Ane L. Appelt
- Leeds Institute of Medical Research at St James’s, University of Leeds, United Kingdom
- Leeds Cancer Centre, Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom
| | - Ate Haraldsen
- Department of Nuclear Medicine and PET-centre, Aarhus University Hospital, Denmark
| | - Markus Alber
- Department of Radiation Oncology, Heidelberg University Hospital, Germany
- Heidelberg Institute for Radiation Oncology (HIRO), Heidelberg University Hospital, Germany
| | - Cai Grau
- Danish Center for Particle Therapy, Aarhus University Hospital, Denmark
| | | | - Maria Kandi
- Department of Oncology, Aarhus University Hospital, Denmark
| | | | | | - Ditte Sloth Møller
- Department of Oncology, Aarhus University Hospital, Denmark
- Department of Clinical Medicine, Faculty of Health Sciences, Aarhus University, Denmark
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Knap MM, Khan S, Khalil AA, Møller DS, Hoffmann L. Outcome of conventional radiotherapy in small centrally located tumours or lymph nodes: minimal toxicity, remarkable survival but challenging loco-regional control. Acta Oncol 2023; 62:1433-1439. [PMID: 37707506 DOI: 10.1080/0284186x.2023.2257872] [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: 05/22/2023] [Accepted: 09/04/2023] [Indexed: 09/15/2023]
Abstract
BACKGROUND In peripheral lung tumours, stereotactic body radiotherapy (SBRT) is superior to conventional RT. SBRT has also shown high loco-regional control (LC) in centrally located tumours, but there is a high risk of severe toxicity. The STRICTSTARLung trial (NCT05354596) examines if risk-adapted SBRT for central tumours is feasible. In this study, we examined overall survival (OS), Disease-free survival (DSF), LC, and toxicity in patients with central tumours that could have been candidates for SBRT but received conventional RT. MATERIAL AND METHODS Retrospectively, we evaluated 49 lung cancer patients that between 2008 and 2021 received RT (60-70Gy in 2 Gy fractions) for a solitary tumour or lymph node with a diameter <5cm located <2cm from the bronchial tree, oesophagus, aorta or heart. All tumours were pathologically verified; 30 were primary lung tumours (T1b-T4) and 19 were solitary lymph nodes (T0N1-N2). Chemotherapy was administered as concomitant (29) or sequential (4). OS and LC were analysed using Kaplan Meier. Cox proportional hazards model for OS and disease-free survival (DFS) was performed including tumour volume, histology, sex, T- vs N-site and chemotherapy. Toxicity was scored. RESULTS In 42 patients, the tumour was located <1 cm to mediastinum. Median follow-up time was 44 months (range: 7-123). The median OS was 51 months. OS at 1-, 3- and 5-year was 88% (SE:5), 59% (SE:7) and 50% (SE:8). Loco-regional recurrences occurred in 16 patients resulting in 1-, and 3-year LC rates of 77% (SE:6) and 64% (SE:8). The majority occurred within 3 years after RT. Only stage showed significant impact on OS and DFS. No patients experienced grade 4-5 toxicity. Seven patients developed grade 3 toxicity (5 oesophageal stenosis, 2 pneumonitis). CONCLUSION Conventional RT for patients with small central lung tumours or solitary lymph nodes is feasible. Median OS was 51 months, and toxicity was low with no grade 4-5 events.
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Affiliation(s)
- M M Knap
- Department of Oncology, Aarhus University Hospital, Aarhus N, Denmark
| | - S Khan
- Department of Respiratory Diseases and Allergology, Aarhus University Hospital, Aarhus N, Denmark
| | - A A Khalil
- Department of Oncology, Aarhus University Hospital, Aarhus N, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus N, Denmark
| | - D S Møller
- Department of Oncology, Aarhus University Hospital, Aarhus N, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus N, Denmark
| | - L Hoffmann
- Department of Oncology, Aarhus University Hospital, Aarhus N, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus N, Denmark
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3
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Hoffmann L, Ehmsen ML, Hansen J, Hansen R, Knap MM, Mortensen HR, Poulsen PR, Ravkilde T, Rose HK, Schmidt HH, Worm ES, Møller DS. Repeated deep-inspiration breath-hold CT scans at planning underestimate the actual motion between breath-holds at treatment for lung cancer and lymphoma patients. Radiother Oncol 2023; 188:109887. [PMID: 37659663 DOI: 10.1016/j.radonc.2023.109887] [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: 06/25/2023] [Revised: 08/04/2023] [Accepted: 08/23/2023] [Indexed: 09/04/2023]
Abstract
PURPOSE/OBJECTIVE Deep-inspiration breath-hold (DIBH) during radiotherapy may reduce dose to the lungs and heart compared to treatment in free breathing. However, intra-fractional target shifts between several breath-holds may decrease target coverage. We compared target shifts between four DIBHs at the planning-CT session with those measured on CBCT-scans obtained pre- and post-DIBH treatments. MATERIAL/METHODS Twenty-nine lung cancer and nine lymphoma patients were treated in DIBH. An external gating block was used as surrogate for the DIBH-level with a window of 2 mm. Four DIBH CT-scans were acquired: one for planning (CTDIBH3) and three additional (CTDIBH1,2,4) to assess the intra-DIBH target shifts at scanning by registration to CTDIBH3. During treatment, pre-treatment (CBCTpre) and post-treatment (CBCTpost) scans were acquired. For each pair of CBCTpre/post, the target intra-DIBH shift was determined. For lung cancer, tumour (GTV-Tlung) and lymph nodes (GTV-Nlung) were analysed separately. Group mean (GM), systematic and random errors, and GM for the absolute maximum shifts (GMmax) were calculated for the shifts between CTDIBH1,2,3,4 and between CBCTpre/post. RESULTS For GTV-Tlung, GMmax was larger at CBCT than CT in all directions. GMmax in cranio-caudal direction was 3.3 mm (CT)and 6.1 mm (CBCT). The standard deviations of the shifts in the left-right and cranio-caudal directions were larger at CBCT than CT. For GTV-Nlung and CTVlymphoma, no difference was found in GMmax or SD. CONCLUSION Intra-DIBH shifts at planning-CT session are generally smaller than intra-DIBH shifts observed at CBCTpre/post and therefore underestimate the intra-fractional DIBH uncertainty during treatment. Lung tumours show larger intra-fractional variations than lymph nodes and lymphoma targets.
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Affiliation(s)
- Lone Hoffmann
- Department of Oncology, Aarhus University Hospital, Aarhus, Denmark; Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
| | - M L Ehmsen
- Danish Center for Proton Therapy, Aarhus University Hospital, Aarhus, Denmark
| | - J Hansen
- Department of Oncology, Aarhus University Hospital, Aarhus, Denmark
| | - R Hansen
- Department of Oncology, Aarhus University Hospital, Aarhus, Denmark
| | - M M Knap
- Department of Oncology, Aarhus University Hospital, Aarhus, Denmark
| | - H R Mortensen
- Danish Center for Proton Therapy, Aarhus University Hospital, Aarhus, Denmark
| | - P R Poulsen
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark; Danish Center for Proton Therapy, Aarhus University Hospital, Aarhus, Denmark
| | - T Ravkilde
- Department of Oncology, Aarhus University Hospital, Aarhus, Denmark
| | - H K Rose
- Department of Oncology, Aarhus University Hospital, Aarhus, Denmark
| | - H H Schmidt
- Department of Oncology, Aarhus University Hospital, Aarhus, Denmark
| | - E S Worm
- Department of Oncology, Aarhus University Hospital, Aarhus, Denmark
| | - D S Møller
- Department of Oncology, Aarhus University Hospital, Aarhus, Denmark; Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
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Guberina N, Pöttgen C, Santiago A, Levegrün S, Qamhiyeh S, Ringbaek TP, Guberina M, Lübcke W, Indenkämpen F, Stuschke M. Machine-learning-based prediction of the effectiveness of the delivered dose by exhale-gated radiotherapy for locally advanced lung cancer: The additional value of geometric over dosimetric parameters alone. Front Oncol 2023; 12:870432. [PMID: 36713497 PMCID: PMC9880443 DOI: 10.3389/fonc.2022.870432] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2022] [Accepted: 12/08/2022] [Indexed: 01/15/2023] Open
Abstract
Purpose This study aimed to assess interfraction stability of the delivered dose distribution by exhale-gated volumetric modulated arc therapy (VMAT) or intensity-modulated arc therapy (IMAT) for lung cancer and to determine dominant prognostic dosimetric and geometric factors. Methods Clinical target volume (CTVPlan) from the planning CT was deformed to the exhale-gated daily CBCT scans to determine CTVi, treated by the respective dose fraction. The equivalent uniform dose of the CTVi was determined by the power law (gEUDi) and cell survival model (EUDiSF) as effectiveness measure for the delivered dose distribution. The following prognostic factors were analyzed: (I) minimum dose within the CTVi (Dmin_i), (II) Hausdorff distance (HDDi) between CTVi and CTVPlan, (III) doses and deformations at the point in CTVPlan at which the global minimum dose over all fractions per patient occurs (PDmin_global_i), and (IV) deformations at the point over all CTVi margins per patient with the largest Hausdorff distance (HDPworst). Prognostic value and generalizability of the prognostic factors were examined using cross-validated random forest or multilayer perceptron neural network (MLP) classifiers. Dose accumulation was performed using back deformation of the dose distribution from CTVi to CTVPlan. Results Altogether, 218 dose fractions (10 patients) were evaluated. There was a significant interpatient heterogeneity between the distributions of the normalized gEUDi values (p<0.0001, Kruskal-Wallis tests). Accumulated gEUD over all fractions per patient was 1.004-1.023 times of the prescribed dose. Accumulation led to tolerance of ~20% of fractions with gEUDi <93% of the prescribed dose. Normalized Dmin >60% was associated with predicted gEUD values above 95%. Dmin had the highest importance for predicting the gEUD over all analyzed prognostic parameters by out-of-bag loss reduction using the random forest procedure. Cross-validated random forest classifier based on Dmin as the sole input had the largest Pearson correlation coefficient (R=0.897) in comparison to classifiers using additional input variables. The neural network performed better than the random forest classifier, and the gEUD values predicted by the MLP classifier with Dmin as the sole input were correlated with the gEUD values characterized by R=0.933 (95% CI, 0.913-0.948). The performance of the full MLP model with all geometric input parameters was slightly better (R=0.952) than that based on Dmin (p=0.0034, Z-test). Conclusion Accumulated dose distributions over the treatment series were robust against interfraction CTV deformations using exhale gating and online image guidance. Dmin was the most important parameter for gEUD prediction for a single fraction. All other parameters did not lead to a markedly improved generalizable prediction. Dosimetric information, especially location and value of Dmin within the CTV i , are vital information for image-guided radiation treatment.
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Affiliation(s)
- Nika Guberina
- Department of Radiation Therapy, West German Cancer Center, University Hospital Essen, University Duisburg-Essen, Essen, Germany,*Correspondence: Nika Guberina,
| | - Christoph Pöttgen
- Department of Radiation Therapy, West German Cancer Center, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Alina Santiago
- Department of Radiation Therapy, West German Cancer Center, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Sabine Levegrün
- Department of Radiation Therapy, West German Cancer Center, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Sima Qamhiyeh
- Department of Radiation Therapy, West German Cancer Center, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Toke Printz Ringbaek
- Department of Radiation Therapy, West German Cancer Center, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Maja Guberina
- Department of Radiation Therapy, West German Cancer Center, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Wolfgang Lübcke
- Department of Radiation Therapy, West German Cancer Center, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Frank Indenkämpen
- Department of Radiation Therapy, West German Cancer Center, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Martin Stuschke
- Department of Radiation Therapy, West German Cancer Center, University Hospital Essen, University Duisburg-Essen, Essen, Germany,German Cancer Consortium (DKTK), Partner Site University Hospital Essen, Essen, Germany
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Zhou S, Meng Y, Sun X, Jin Z, Feng W, Yang H. The critical components for effective adaptive radiotherapy in patients with unresectable non-small-cell lung cancer: who, when and how. Future Oncol 2022; 18:3551-3562. [PMID: 36189758 DOI: 10.2217/fon-2022-0291] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Adaptive radiotherapy (ART) is a new radiotherapy technology based on image-guided radiation therapy technology, used to avoid radiation overexposure to residual tumors and the surrounding normal tissues. Tumors undergoing the same radiation doses and modes can occur unequal shrinkage due to the variation of response times to radiation doses in different patients. To perform ART effectively, eligible patients with a high probability of benefits from ART need to be identified. Confirming the precise timetable for ART in every patient is another urgent problem to be resolved. Moreover, the outcomes of ART are different depending on the various image guidance used. This review discusses 'who, when and how' as the three key factors involved in the most effective implementation for the management of ART.
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Affiliation(s)
- Suna Zhou
- Key Laboratory of Radiation Oncology, The Affiliated Taizhou Hospital, Wenzhou Medical University, Taizhou, 317000, Zhejiang, PR China.,Department of Radiation Oncology, Xi'an No.3 Hospital, the Affiliated Hospital of Northwest University, Xi'an, Shanxi, 710018, PR China
| | - Yinnan Meng
- Key Laboratory of Radiation Oncology, The Affiliated Taizhou Hospital, Wenzhou Medical University, Taizhou, 317000, Zhejiang, PR China.,Department of Radiation Oncology, The Affiliated Taizhou Hospital, Wenzhou Medical University, Taizhou, 317000, Zhejiang, PR China
| | - Xuefeng Sun
- Key Laboratory of Radiation Oncology, The Affiliated Taizhou Hospital, Wenzhou Medical University, Taizhou, 317000, Zhejiang, PR China.,Department of Radiation Oncology, The Affiliated Taizhou Hospital, Wenzhou Medical University, Taizhou, 317000, Zhejiang, PR China
| | - Zhicheng Jin
- Key Laboratory of Radiation Oncology, The Affiliated Taizhou Hospital, Wenzhou Medical University, Taizhou, 317000, Zhejiang, PR China.,Department of Radiation Oncology, The Affiliated Taizhou Hospital, Wenzhou Medical University, Taizhou, 317000, Zhejiang, PR China
| | - Wei Feng
- Department of Radiation Oncology, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Hangzhou, 310022, PR China
| | - Haihua Yang
- Key Laboratory of Radiation Oncology, The Affiliated Taizhou Hospital, Wenzhou Medical University, Taizhou, 317000, Zhejiang, PR China.,Department of Radiation Oncology, The Affiliated Taizhou Hospital, Wenzhou Medical University, Taizhou, 317000, Zhejiang, PR China
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Hattu D, Mannens J, Öllers M, van Loon J, De Ruysscher D, van Elmpt W. A traffic light protocol workflow for image-guided adaptive radiotherapy in lung cancer patients. Radiother Oncol 2022; 175:152-158. [PMID: 36067908 DOI: 10.1016/j.radonc.2022.08.030] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Revised: 08/20/2022] [Accepted: 08/30/2022] [Indexed: 11/19/2022]
Abstract
BACKGROUND AND PURPOSE Image-guided radiotherapy using cone beam-CT (CBCT) images is used to evaluate patient anatomy and positioning before radiotherapy. In this study we analyzed and optimized a traffic light protocol (TLP) used in lung cancer patients to identify patients requiring treatment adaptation. MATERIALS AND METHODS First, CBCT review requests of 243 lung cancer patients were retrospectively analyzed and divided into 6 pre-defined categories. Frequencies and follow-up actions were scored. Based on these results, the TLP was optimized and evaluated in the same way on 230 patients treated in 2018. RESULTS In the retrospective study, a total of 543 CBCT review requests were created during treatment in 193/243 patients due to changed anatomy of lung (24%), change of tumor volume (24%), review of match (18%), shift of the mediastinum (15%), shift of tumor (15%) and other (4%). The majority of requests (474, 87%) did not require further action. In 6% an adjustment of the match criteria sufficed; in 7% treatment plan adaptation was required. Plan adaptation was frequently seen in the categories changed anatomy of lung, change of tumor volume and shift of tumor outside the PTV. Shift of mediastinum outside PRV and shift of GTV outside CTV (but inside PTV) never required plan adaptation and were omitted to optimize the TLP, which reduced the CBCT review requests by 23%. CONCLUSIONS The original TLP selected patients that required a treatment adaptation, but with a high false positive rate. The optimized TLP reduced the amount of CBCT review requests, while still correctly identifying patients requiring adaptation.
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Affiliation(s)
- Djoya Hattu
- Department of Radiation Oncology (MAASTRO), GROW-School for Oncology, Maastricht University Medical Center, Maastricht, The Netherlands.
| | - Jolein Mannens
- Department of Radiation Oncology (MAASTRO), GROW-School for Oncology, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Michel Öllers
- Department of Radiation Oncology (MAASTRO), GROW-School for Oncology, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Judith van Loon
- Department of Radiation Oncology (MAASTRO), GROW-School for Oncology, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Dirk De Ruysscher
- Department of Radiation Oncology (MAASTRO), GROW-School for Oncology, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Wouter van Elmpt
- Department of Radiation Oncology (MAASTRO), GROW-School for Oncology, Maastricht University Medical Center, Maastricht, The Netherlands
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Shamshad M, Møller DS, Mortensen HR, Ehmsen ML, Jensen MF, Hoffmann L. Bone versus soft-tissue setup in proton therapy for patients with oesophageal cancer. Acta Oncol 2022; 61:994-1003. [PMID: 35775236 DOI: 10.1080/0284186x.2022.2091949] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Abstract
BACKGROUND The aim of this study was to investigate the effect of patient positioning based on either bone or soft-tissue matching for PT in oesophageal cancer and its impact on plan adaptation. MATERIALS AND METHODS Two retrospective patient cohorts treated with radiotherapy were included in the study. Cohort A consisted of 26 consecutive patients with a planning 4DCT scan (CT1) and a surveillance 4DCT scan (CT2) at fraction ten. Cohort B consisted of 17 patients selected based on large anatomical changes identified during treatment resulting in a rescan (CT2). Mean dose to the iCTV (sum of the CTVs in all respiratory phases) was 50.4 Gy (RBE) in 28 fractions or 41.4 Gy (RBE) in 23 fractions. A nominal pencil beam scanning plan was created using two posterior beams and robust optimization (5 mm setup, 3.5% range). For each patient, two rigid registrations were made between average (avg) CT1 and CT2: a match on the vertebral column (bone match) and a match on the iCTV (soft-tissue match). Robustness towards setup (5 mm) and range (3.5%) errors was evaluated at CT2. Robustness towards respiration was evaluated by recalculation of the plan on all phases of the CT2 scan. Dose coverage <96% would trigger adaptation. The statistical significance (p-value <0.05) between dose coverage for the two registration methods was assessed using the Wilcoxon signed rank test. RESULTS All plans fulfilled V95%iCTV>99% for the nominal plan and V95%iCTV>97% for all respiratory phases and robustness scenarios at CT1. In two (8%) and three (18%) patients, V95%iCTV<96% on CT2 for Cohort A and B, respectively when bone match was used. For soft-tissue match, V95%iCTV >96% for all patients. V95%iCTV was significantly higher (p-value = 0.0001) for soft-tissue match than bone match. CONCLUSION Anatomical changes during the treatment course led to target dose deterioration and a need for plan adaptation when using a bone match.
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Affiliation(s)
- Muhammad Shamshad
- Danish Centre for Particle Therapy, Aarhus University Hospital, Aarhus, Denmark.,Department of Medical Physics, Aarhus University Hospital, Aarhus, Denmark
| | - Ditte Sloth Møller
- Department of Medical Physics, Aarhus University Hospital, Aarhus, Denmark.,Department of Clinical Medicine, Faculty of Health Sciences, Aarhus University, Aarhus, Denmark
| | | | | | | | - Lone Hoffmann
- Department of Medical Physics, Aarhus University Hospital, Aarhus, Denmark.,Department of Clinical Medicine, Faculty of Health Sciences, Aarhus University, Aarhus, Denmark
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Møller DS, Lutz CM, Khalil AA, Alber M, Holt MI, Kandi M, Schmidt HH, Tvilum M, Appelt A, Knap MM, Hoffmann L. Survival benefits for non-small cell lung cancer patients treated with adaptive radiotherapy. Radiother Oncol 2022; 168:234-240. [PMID: 35121030 DOI: 10.1016/j.radonc.2022.01.039] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Revised: 12/11/2021] [Accepted: 01/27/2022] [Indexed: 12/25/2022]
Abstract
INTRODUCTION Tumor match and adaptive radiotherapy based on on-treatment imaging increases the precision of RT. This allows a reduction of treatment volume and, consequently, of the dose to organs at risk. We investigate the clinical benefits of tumor match and adaptive radiotherapy for a cohort of non-small cell lung cancer patients (NSCLC). METHODS In 2013, tumor match and adaptive radiotherapy based on daily cone-beam CT scans was introduced to ensure adaption of the radiotherapy treatment plan for all patients with significant anatomical changes during radiotherapy. Before 2013, the daily cone-beam CT scans were matched on the vertebra and anatomical changes were not evaluated systematically. To estimate the effect of tumor match and adaptive radiotherapy, 439 consecutive NSCLC patients treated with definitive chemo-radiotherapy (50-66 Gy/25-33 fractions, 2010-2018) were investigated retrospectively. They were split in two groups, pre-ART (before tumor match and adaptive radiotherapy, 184 patients), and ART (after tumor match and adaptive radiotherapy, 255 patients) and compared with respect to clinical, treatment-specific and dosimetric variables (χ2 tests, Mann Whitney U tests), progression, survival and radiation pneumonits (CTCAEv3). Progression-free and overall survival as well as radiation pneumonitis were compared with log-rank tests. Hazard ratios were estimated from Cox proportional hazard regression. RESULTS No significant differences in stage (p = 0.36), histology (p = 0.35), PS (p = 0.12) and GTV volumes (p = 0.24) were observed. Concomitant chemotherapy was administered more frequently in the ART group (78%) compared to preART (64%), p < 0.001. Median[range] PTV volumes decreased from 456 [71;1262] cm3 (preART) to 270 [31;1166] cm3 (ART), p < 0.001, thereby significantly reducing mean doses to lungs (median, preART 16.4 [1.9;24.7] Gy, ART 12.1 [1.7;19.4] Gy, p < 0.001) and heart (median, preART 8.0 [0.1;32.1] Gy, ART 4.4 [0.1;33.9] Gy, p < 0.001). The incidence of RP at nine months decreased significantly with ART (50% to 20% for symptomatic RP (≥G2), 21% to 7% for severe RP (≥G3), 6% to 0.4% for lethal RP (G5), all p < 0.001). The two-year progression free survival increased from 22% (preART) to 30% (ART), while the overall survival increased from 43% (preART) to 56% (ART). The median overall survival time increased from 20 (preART) to 28 months (ART). CONCLUSION Tumor match and adaptive radiotherapy significantly decreased radiation pneumonitis, while maintaining loco-regional control. Further, we observed a significantly improved progression-free and overall survival.
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Affiliation(s)
| | | | | | - Markus Alber
- Department of Radiation Oncology, Heidelberg University Hospital, Germany; Heidelberg Institute for Radiation Oncology (HIRO), Heidelberg University Hospital, Germany
| | | | - Maria Kandi
- Department of Oncology, Aarhus University Hospital, Denmark
| | | | - Marie Tvilum
- Department of Oncology, Aarhus University Hospital, Denmark
| | - Ane Appelt
- Leeds Institute of Medical Research at St James's, University of Leeds, United Kingdom; Leeds Cancer Centre, St James's University Hospital, Leeds, United Kingdom
| | | | - Lone Hoffmann
- Department of Oncology, Aarhus University Hospital, Denmark
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Holm AIS, Nyeng TB, S. Møller D, Assenholt MS, Hansen R, Nyvang L, Ravkilde T, Thomsen MS, Hoffmann L. Density calibrated cone beam CT as a tool for adaptive radiotherapy. Acta Oncol 2021; 60:1275-1282. [PMID: 34224288 DOI: 10.1080/0284186x.2021.1945678] [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] [Indexed: 12/25/2022]
Abstract
BACKGROUND Visual inspections of anatomical changes observed on daily cone-beam CT (CBCT) images are often used as triggers for radiotherapy plan adaptation to avoid unacceptable dose levels to the target or OARs. Direct CBCT dose calculations would improve the ability to adapt only those plans where dosimetric changes are observed. This study investigates the accuracy of dose calculations on CBCTs. MATERIALS AND METHODS Calibration curves were obtained for CBCT imagers at nine identical accelerators. CBCT scans of a phantom with different density inserts were recorded for two scan modes (Head-Neck and Pelvis) and mean calibration curves were calculated. Subsequently, CBCT scans of the phantom with six different density inserts were recorded, the dose distributions on the CBCTs were calculated and compared to dose on the planning CT (pCT). The uncertainty was quantified by the dosimetric difference between the pCT and the CBCT. The two mean calibration curves were used to calculate the daily delivered CBCT dose for ten Head-Neck-, eleven Lung-, and ten pelvic patients. Additional patient calculations were performed using low-HU empirically corrected calibration curves. Patient doses were compared on target coverage and mean dose, and D1cc for OARs. RESULTS The dose differences between pCT and CBCT for phantom data were small for all DVH parameters, with mean deviations below ±0.6% for both CBCT modes. For patient data, it was found that low-HU corrected calibration curves performed the best. The mean deviations for the mean dose and coverage of the target were 0.2%±0.7% and 0.1%±0.6%, across all patient groups. CONCLUSION Dose calculation on CBCT images results in target coverage and mean dose with an accuracy of the order of 1%, which makes this acceptable for clinical use. The CBCT mode specific calibration curves can be used at all identical imaging devices and for all patient groups.
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Affiliation(s)
- Anne I. S. Holm
- Department of Oncology, Section for Medical Physics, Aarhus University Hospital, Aarhus, Denmark
| | - Tine B. Nyeng
- Department of Oncology, Section for Medical Physics, Aarhus University Hospital, Aarhus, Denmark
| | - Ditte S. Møller
- Department of Oncology, Section for Medical Physics, Aarhus University Hospital, Aarhus, Denmark
| | - Marianne S. Assenholt
- Department of Oncology, Section for Medical Physics, Aarhus University Hospital, Aarhus, Denmark
| | - Rune Hansen
- Department of Oncology, Section for Medical Physics, Aarhus University Hospital, Aarhus, Denmark
| | - Lars Nyvang
- Department of Oncology, Section for Medical Physics, Aarhus University Hospital, Aarhus, Denmark
| | - Thomas Ravkilde
- Department of Oncology, Section for Medical Physics, Aarhus University Hospital, Aarhus, Denmark
| | - Mette S. Thomsen
- Department of Oncology, Section for Medical Physics, Aarhus University Hospital, Aarhus, Denmark
| | - Lone Hoffmann
- Department of Oncology, Section for Medical Physics, Aarhus University Hospital, Aarhus, Denmark
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10
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Dubec M, Brown S, Chuter R, Hales R, Whiteside L, Rodgers J, Parker J, Eccles CL, van Herk M, Faivre-Finn C, Cobben D. MRI and CBCT for lymph node identification and registration in patients with NSCLC undergoing radical radiotherapy. Radiother Oncol 2021; 159:112-118. [PMID: 33775713 DOI: 10.1016/j.radonc.2021.03.015] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Revised: 02/26/2021] [Accepted: 03/08/2021] [Indexed: 12/25/2022]
Abstract
PURPOSE This study compared MRI to CBCT for the identification and registration of lymph nodes (LN) in patients with locally advanced (LA)-NSCLC, to assess the suitability of targeting LNs in future MR-image guided radiotherapy (MRgRT) workflows. METHOD Radiotherapy radiographers carried out Visual Grading Analysis (VGA) assessment of image quality, LN registration and graded their confidence in registration for each of the 24 LNs on CBCT and two MR sequences, MR1 (T2w Turbo Spin Echo) and MR2 (T1w DIXON water only image). RESULTS Pre-registration image quality assessment revealed MR1 and MR2 as significantly superior to CBCT in terms of image quality (p ≤ 0.01). No significant differences were noted in interobserver variability for LN registration between CBCT, MR1 and MR2. Observers were more confident in their MR registrations compared to their CBCT based LN registrations (p ≤ 0.02). SUMMARY Interobserver setup correction variability was not found to be significantly different between CBCT and MR. Image quality and registration confidence were found to be superior for MRI sequences. This is a promising step towards MR-guided radiotherapy for the treatment of LA-NSCLC.
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Affiliation(s)
- Michael Dubec
- Division of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, UK; Christie Medical Physics and Engineering, The Christie NHS Foundation Trust, Manchester, UK.
| | - Sean Brown
- Gloucestershire Oncology Centre, Cheltenham General Hospital, Cheltenham, UK
| | - Robert Chuter
- Division of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, UK; Christie Medical Physics and Engineering, The Christie NHS Foundation Trust, Manchester, UK
| | - Rosie Hales
- Department of Radiotherapy, The Christie NHS Foundation Trust, Manchester, UK
| | - Lee Whiteside
- Department of Radiotherapy, The Christie NHS Foundation Trust, Manchester, UK
| | - John Rodgers
- Department of Radiotherapy, The Christie NHS Foundation Trust, Manchester, UK
| | - Jacqui Parker
- Department of Radiotherapy, The Christie NHS Foundation Trust, Manchester, UK
| | - Cynthia L Eccles
- Division of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, UK; Department of Radiotherapy, The Christie NHS Foundation Trust, Manchester, UK
| | - Marcel van Herk
- Division of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, UK; Department of Clinical Oncology, The Christie NHS Foundation Trust, Manchester, UK
| | - Corinne Faivre-Finn
- Division of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, UK; Department of Clinical Oncology, The Christie NHS Foundation Trust, Manchester, UK
| | - David Cobben
- Division of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, UK; Department of Clinical Oncology, The Christie NHS Foundation Trust, Manchester, UK
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11
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Image-guided Radiotherapy to Manage Respiratory Motion: Lung and Liver. Clin Oncol (R Coll Radiol) 2020; 32:792-804. [PMID: 33036840 DOI: 10.1016/j.clon.2020.09.008] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Revised: 08/26/2020] [Accepted: 09/18/2020] [Indexed: 12/25/2022]
Abstract
Organ motion as a result of respiratory and cardiac motion poses significant challenges for the accurate delivery of radiotherapy to both the thorax and the upper abdomen. Modern imaging techniques during radiotherapy simulation and delivery now permit better quantification of organ motion, which in turn reduces tumour and organ at risk position uncertainty. These imaging advances, coupled with respiratory correlated radiotherapy delivery techniques, have led to the development of a range of approaches to manage respiratory motion. This review summarises the key strategies of image-guided respiratory motion management with a focus on lung and liver radiotherapy.
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12
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Josipovic M, Aznar MC, Thomsen JB, Scherman J, Damkjaer SMS, Nygård L, Specht L, Pøhl M, Persson GF. Deep inspiration breath hold in locally advanced lung cancer radiotherapy: validation of intrafractional geometric uncertainties in the INHALE trial. Br J Radiol 2019; 92:20190569. [PMID: 31544478 PMCID: PMC6913352 DOI: 10.1259/bjr.20190569] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2019] [Revised: 09/17/2019] [Accepted: 09/19/2019] [Indexed: 12/11/2022] Open
Abstract
OBJECTIVES Patients with locally advanced non-small cell lung cancer (NSCLC) were included in a prospective trial for radiotherapy in deep inspiration breath hold (DIBH). We evaluated DIBH compliance and target position reproducibility. METHODS Voluntary, visually guided DIBHs were performed with optical tracking. Patients underwent three consecutive DIBH CT scans for radiotherapy planning. We evaluated the intrafractional uncertainties in the position of the peripheral tumour, lymph nodes and differential motion between them, enabling PTV margins calculation. Patients who underwent all DIBH imaging and had tumour position reproducibility <8 mm were up-front DIBH compliant. Patients who performed DIBHs throughout the treatment course were overall DIBH compliant. Clinical parameters and DIBH-related uncertainties were validated against our earlier pilot study. RESULTS 69 of 88 included patients received definitive radiotherapy. 60/69 patients (87%) were up-front DIBH compliant. DIBH plan was not superior in seven patients and three lost DIBH ability during the treatment, leaving 50/69 patients (72%) overall DIBH compliant.The systematic and random errors between consecutive DIBHs were small but differed from the pilot study findings. This led to slightly different PTV margins between the two studies. CONCLUSIONS DIBH compliance and reproducibility was high. Still, this validation study highlighted the necessity of designing PTV margins in larger, representative patient cohorts. ADVANCES IN KNOWLEDGE We demonstrated high DIBH compliance in locally advanced NSCLC patients. DIBH does not eliminate but mitigates the target position uncertainty, which needs to be accounted for in treatment margins. Margin design should be based on data from larger representative patient groups.
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Affiliation(s)
| | | | - Jakob B Thomsen
- Department of Oncology, Section of Radiotherapy, Rigshospitalet, University of Copenhagen, Blegdamsvej 9, 2100 Copenhagen, Denmark
| | | | - Sidsel MS Damkjaer
- Department of Hematology and Oncology Radiation Physics, Skåne University Hospital, 21185 Lund, Sweden
| | - Lotte Nygård
- Department of Oncology, Section of Radiotherapy, Rigshospitalet, University of Copenhagen, Blegdamsvej 9, 2100 Copenhagen, Denmark
| | | | - Mette Pøhl
- Department of Oncology, Section of Radiotherapy, Rigshospitalet, University of Copenhagen, Blegdamsvej 9, 2100 Copenhagen, Denmark
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13
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Setup strategies and uncertainties in esophageal radiotherapy based on detailed intra- and interfractional tumor motion mapping. Radiother Oncol 2019; 136:161-168. [DOI: 10.1016/j.radonc.2019.04.014] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2019] [Revised: 04/05/2019] [Accepted: 04/07/2019] [Indexed: 02/07/2023]
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14
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Paganelli C, Meschini G, Molinelli S, Riboldi M, Baroni G. “Patient-specific validation of deformable image registration in radiation therapy: Overview and caveats”. Med Phys 2018; 45:e908-e922. [DOI: 10.1002/mp.13162] [Citation(s) in RCA: 58] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2017] [Revised: 07/30/2018] [Accepted: 08/24/2018] [Indexed: 12/26/2022] Open
Affiliation(s)
- Chiara Paganelli
- Dipartimento di Elettronica, Informazione e Bioingegneria; Politecnico di Milano; Milano 20133 Italy
| | - Giorgia Meschini
- Dipartimento di Elettronica, Informazione e Bioingegneria; Politecnico di Milano; Milano 20133 Italy
| | | | - Marco Riboldi
- Department of Medical Physics; Ludwig-Maximilians-Universitat Munchen; Munich 80539 Germany
| | - Guido Baroni
- Dipartimento di Elettronica, Informazione e Bioingegneria; Politecnico di Milano; Milano 20133 Italy
- Centro Nazionale di Adroterapia Oncologica; Pavia 27100 Italy
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15
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de Blanck SR, Rydhög JS, Larsen KR, Clementsen PF, Josipovic M, Aznar MC, Af Rosenschöld PM, Jølck RI, Specht L, Andresen TL, Persson GF. Long term safety and visibility of a novel liquid fiducial marker for use in image guided radiotherapy of non-small cell lung cancer. Clin Transl Radiat Oncol 2018; 13:24-28. [PMID: 30258990 PMCID: PMC6154396 DOI: 10.1016/j.ctro.2018.07.004] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2018] [Revised: 07/27/2018] [Accepted: 07/31/2018] [Indexed: 11/16/2022] Open
Abstract
Safety and clinical feasibility of injecting a novel liquid fiducial marker for use in image guided radiotherapy in 15 patients with non-small cell lung cancer are reported. No major safety or toxicity issues were encountered. Markers present at start of radiotherapy remained visible in cone beam computed tomography and fluoroscopy images throughout the treatment course and on computed tomography images during follow-up (0-38 months). Marker volume reduction was seen until 9 months after treatment, after which no further marker breakdown was found. No post-treatment migration or marker related complications were found.
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Affiliation(s)
- Steen Riisgaard de Blanck
- Department of Oncology, Rigshospitalet, University of Copenhagen, Blegdamsvej 9, 2100 Copenhagen, Denmark
| | - Jonas Scherman Rydhög
- Department of Oncology, Rigshospitalet, University of Copenhagen, Blegdamsvej 9, 2100 Copenhagen, Denmark.,Niels Bohr Institute, University of Copenhagen, Blegdamsvej 17, 2100 Copenhagen, Denmark
| | - Klaus Richter Larsen
- Department of Respiratory Medicine, Bispebjerg Hospital, Bispebjerg Bakke 23, 2400 København, NV, Denmark
| | - Paul Frost Clementsen
- Department of Respiratory Medicine, Gentofte University Hospital and Copenhagen Academy for Medical Education and Simulation (CAMES), Rigshospitalet, Copenhagen, Denmark
| | - Mirjana Josipovic
- Department of Oncology, Rigshospitalet, University of Copenhagen, Blegdamsvej 9, 2100 Copenhagen, Denmark.,Niels Bohr Institute, University of Copenhagen, Blegdamsvej 17, 2100 Copenhagen, Denmark
| | - Marianne Camille Aznar
- Department of Oncology, Rigshospitalet, University of Copenhagen, Blegdamsvej 9, 2100 Copenhagen, Denmark.,Niels Bohr Institute, University of Copenhagen, Blegdamsvej 17, 2100 Copenhagen, Denmark
| | - Per Munck Af Rosenschöld
- Department of Oncology, Rigshospitalet, University of Copenhagen, Blegdamsvej 9, 2100 Copenhagen, Denmark.,Niels Bohr Institute, University of Copenhagen, Blegdamsvej 17, 2100 Copenhagen, Denmark
| | - Rasmus Irming Jølck
- DTU Nanotech, Department of Micro-and Nanotechnology, Center for Nanomedicine and Theranostics, Technical University of Denmark, Building 345E, Ørsteds Plads, 2800 Kgs. Lyngby, Denmark.,Nanovi Radiotherapy A/S, Diplomvej 373N, 2800 Kgs. Lyngby, Denmark
| | - Lena Specht
- Department of Oncology, Rigshospitalet, University of Copenhagen, Blegdamsvej 9, 2100 Copenhagen, Denmark
| | - Thomas Lars Andresen
- DTU Nanotech, Department of Micro-and Nanotechnology, Center for Nanomedicine and Theranostics, Technical University of Denmark, Building 345E, Ørsteds Plads, 2800 Kgs. Lyngby, Denmark
| | - Gitte Fredberg Persson
- Department of Oncology, Rigshospitalet, University of Copenhagen, Blegdamsvej 9, 2100 Copenhagen, Denmark
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16
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Molitoris JK, Diwanji T, Snider JW, Mossahebi S, Samanta S, Badiyan SN, Simone CB, Mohindra P. Advances in the use of motion management and image guidance in radiation therapy treatment for lung cancer. J Thorac Dis 2018; 10:S2437-S2450. [PMID: 30206490 PMCID: PMC6123191 DOI: 10.21037/jtd.2018.01.155] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2018] [Accepted: 01/26/2018] [Indexed: 12/22/2022]
Abstract
The development of advanced radiation technologies, including intensity-modulated radiation therapy (IMRT), stereotactic body radiation therapy (SBRT) and proton therapy, has resulted in increasingly conformal radiation treatments. Recent evidence for the importance of minimizing dose to normal critical structures including the heart and lungs has led to incorporation of these advanced treatment modalities into radiation therapy (RT) for non-small cell lung cancer (NSCLC). While such technologies have allowed for improved dose delivery, implementation requires improved target accuracy with treatments, placing increasing importance on evaluating tumor motion at the time of planning and verifying tumor position at the time of treatment. In this review article, we describe issues and updates related both to motion management and image guidance in the treatment of NSCLC.
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Affiliation(s)
- Jason K. Molitoris
- Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Tejan Diwanji
- Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - James W. Snider
- Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD, USA
- Department of Radiation Oncology, Maryland Proton Treatment Center, University of Maryland, Baltimore, MD, USA
| | - Sina Mossahebi
- Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD, USA
- Department of Radiation Oncology, Maryland Proton Treatment Center, University of Maryland, Baltimore, MD, USA
| | - Santanu Samanta
- Department of Radiation Oncology, Maryland Proton Treatment Center, University of Maryland, Baltimore, MD, USA
| | - Shahed N. Badiyan
- Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD, USA
- Department of Radiation Oncology, Maryland Proton Treatment Center, University of Maryland, Baltimore, MD, USA
| | - Charles B. Simone
- Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD, USA
- Department of Radiation Oncology, Maryland Proton Treatment Center, University of Maryland, Baltimore, MD, USA
| | - Pranshu Mohindra
- Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD, USA
- Department of Radiation Oncology, Maryland Proton Treatment Center, University of Maryland, Baltimore, MD, USA
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17
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Hoffmann L, Knap MM, Khalil AA, Lutz CM, Sloth Møller D. The NARLAL2 dose escalation trial: dosimetric implications of inter-fractional changes in organs at risk. Acta Oncol 2018; 57:473-479. [PMID: 28830293 DOI: 10.1080/0284186x.2017.1366049] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
BACKGROUND Phase II trials suggested that survival rates for locally advanced lung cancer could be increased by radiotherapy dose escalation. However, results of the phase III RTOG 0617 trial illustrated an imminent risk of treatment-related death. This could be thwarted with strict constraints to organs at risk (OARs) and control of the delivered dose. This study investigates the impact of anatomical changes during radiotherapy on escalated dose distributions used in the Danish NARLAL2 dose escalation trial. MATERIAL AND METHODS The phase III NARLAL2 trial randomizes patients between a standard and an escalated treatment plan. In the escalated arm, mean doses up to 95 Gy/33 fractions (tumour) and 74 Gy/33 fractions (lymph nodes) are delivered to the most 18fluorodeoxyglucose-positron emission tomography (18FDG PET) active regions. The dose distributions are limited by strict constraints to OARs. For a group of 27 patients, a surveillance scan (sCT) was acquired at fraction 11. The original-escalated treatment plans were recalculated on the sCTs and the impact of inter-fractional changes evaluated. RESULTS A total of 13 patients (48%) had overdosage of least one OAR. Constraints for the oesophagus, trachea and aorta were violated in 26% of the patients. No overdosage was seen for heart or bronchi. For the connective tissue (all tissue in the mediastinum not identified as OAR or tumour) overdosage was seen in 41% of the patients and for the chest wall in 30% of the patients. The main reason for overdosage was tumour shrinkage. CONCLUSIONS Anatomical changes during radiotherapy caused one or more OAR constraint violations for approximately half of the patient cohort. The main cause was tumour shrinkage. For lung cancer radiotherapy dose escalation trials, we recommend incorporation of adaptive radiotherapy strategies.
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Affiliation(s)
- Lone Hoffmann
- Department of Oncology, Aarhus University Hospital, Aarhus C, Denmark
| | | | - Azza Ahmed Khalil
- Department of Oncology, Aarhus University Hospital, Aarhus C, Denmark
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18
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Sloth Møller D, Knap MM, Nyeng TB, Khalil AA, Holt MI, Kandi M, Hoffmann L. Difference in target definition using three different methods to include respiratory motion in radiotherapy of lung cancer. Acta Oncol 2017; 56:1604-1609. [PMID: 28885090 DOI: 10.1080/0284186x.2017.1373848] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
INTRODUCTION Minimizing the planning target volume (PTV) while ensuring sufficient target coverage during the entire respiratory cycle is essential for free-breathing radiotherapy of lung cancer. Different methods are used to incorporate the respiratory motion into the PTV. MATERIAL AND METHODS Fifteen patients were analyzed. Respiration can be included in the target delineation process creating a respiratory GTV, denoted iGTV. Alternatively, the respiratory amplitude (A) can be measured based on the 4D-CT and A can be incorporated in the margin expansion. The GTV expanded by A yielded GTV + resp, which was compared to iGTV in terms of overlap. Three methods for PTV generation were compared. PTVdel (delineated iGTV expanded to CTV plus PTV margin), PTVσ (GTV expanded to CTV and A was included as a random uncertainty in the CTV to PTV margin) and PTV∑ (GTV expanded to CTV, succeeded by CTV linear expansion by A to CTV + resp, which was finally expanded to PTV∑). RESULTS Deformation of tumor and lymph nodes during respiration resulted in volume changes between the respiratory phases. The overlap between iGTV and GTV + resp showed that on average 7% of iGTV was outside the GTV + resp implying that GTV + resp did not capture the tumor during the full deformable respiration cycle. A comparison of the PTV volumes showed that PTVσ was smallest and PTVΣ largest for all patients. PTVσ was in mean 14% (31 cm3) smaller than PTVdel, while PTVdel was 7% (20 cm3) smaller than PTVΣ. CONCLUSIONS PTVσ yields the smallest volumes but does not ensure coverage of tumor during the full respiratory motion due to tumor deformation. Incorporating the respiratory motion in the delineation (PTVdel) takes into account the entire respiratory cycle including deformation, but at the cost, however, of larger treatment volumes. PTVΣ should not be used, since it incorporates the disadvantages of both PTVdel and PTVσ.
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Affiliation(s)
- Ditte Sloth Møller
- Department of Medical Physics, Aarhus University Hospital, Aarhus C, Denmark
| | | | - Tine Bisballe Nyeng
- Department of Medical Physics, Aarhus University Hospital, Aarhus C, Denmark
| | - Azza Ahmed Khalil
- Department of Oncology, Aarhus University Hospital, Aarhus C, Denmark
| | | | - Maria Kandi
- Department of Oncology, Aarhus University Hospital, Aarhus C, Denmark
| | - Lone Hoffmann
- Department of Medical Physics, Aarhus University Hospital, Aarhus C, Denmark
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19
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De Ruysscher D, Faivre-Finn C, Moeller D, Nestle U, Hurkmans CW, Le Péchoux C, Belderbos J, Guckenberger M, Senan S. European Organization for Research and Treatment of Cancer (EORTC) recommendations for planning and delivery of high-dose, high precision radiotherapy for lung cancer. Radiother Oncol 2017; 124:1-10. [PMID: 28666551 DOI: 10.1016/j.radonc.2017.06.003] [Citation(s) in RCA: 135] [Impact Index Per Article: 16.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2017] [Revised: 04/25/2017] [Accepted: 06/05/2017] [Indexed: 12/23/2022]
Abstract
PURPOSE To update literature-based recommendations for techniques used in high-precision thoracic radiotherapy for lung cancer, in both routine practice and clinical trials. METHODS A literature search was performed to identify published articles that were considered clinically relevant and practical to use. Recommendations were categorised under the following headings: patient positioning and immobilisation, Tumour and nodal changes, CT and FDG-PET imaging, target volumes definition, radiotherapy treatment planning and treatment delivery. An adapted grading of evidence from the Infectious Disease Society of America, and for models the TRIPOD criteria, were used. RESULTS Recommendations were identified for each of the above categories. CONCLUSION Recommendations for the clinical implementation of high-precision conformal radiotherapy and stereotactic body radiotherapy for lung tumours were identified from the literature. Techniques that were considered investigational at present are highlighted.
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Affiliation(s)
- Dirk De Ruysscher
- Maastricht University Medical Center+, Department of Radiation Oncology (Maastro Clinic), GROW Research Institute, The Netherlands; KU Leuven, Radiation Oncology, Belgium.
| | - Corinne Faivre-Finn
- Division of Cancer Sciences University of Manchester, Christie NHS Foundation Trust, UK
| | - Ditte Moeller
- Aarhus University Hospital, Department of Oncology, Denmark
| | - Ursula Nestle
- Freiburg University Medical Center (DKTK partner site), Department of Radiation Oncology, Germany; Department of Radiation Oncology, Kliniken Maria Hilf, Moenchengladbach, Germany
| | - Coen W Hurkmans
- Catharina Hospital, Department of Radiation Oncology, Eindhoven, The Netherlands
| | | | - José Belderbos
- Netherlands Cancer Institute, Department of Radiation Oncology, Amsterdam, The Netherlands
| | | | - Suresh Senan
- VU University Medical Center, Department of Radiation Oncology, Amsterdam, The Netherlands
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20
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Hoffmann L, Alber M, Jensen MF, Holt MI, Møller DS. Adaptation is mandatory for intensity modulated proton therapy of advanced lung cancer to ensure target coverage. Radiother Oncol 2016; 122:400-405. [PMID: 28043645 DOI: 10.1016/j.radonc.2016.12.018] [Citation(s) in RCA: 50] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2016] [Revised: 11/25/2016] [Accepted: 12/14/2016] [Indexed: 12/25/2022]
Abstract
BACKGROUND AND PURPOSE Large anatomical changes during radiotherapy are seen for a large proportion of lung cancer patients. We investigate the applicability of a decision support protocol for photon therapy in a proton therapy setting. MATERIAL AND METHODS Twenty-three consecutive NSCLC patients treated with adaptive photon therapy were retrospectively planned using IMPT. The adaptive protocol was based on geometrical measures of target positioning and large anatomical changes as shown on daily CBCT scans. Two surveillance CT-scans were acquired during the treatment course. The consequences of anatomical changes were evaluated by recalculating the proton plans on the surveillance scans. The CTV receiving 95% of the prescribed dose was analysed. RESULTS Fourteen (61%) patients needed adaptations when treated with protons, given that 95% of the CTV must be covered by 95% of the dose. In comparison, no patients needed adaptation when treated with photons using this criterion. The adaptive protocol was found to identify patients with large target under-dosage for proton therapy (six patients). Additionally, target under-dosage was observed for eight patients with non-rigid changes up to 15mm in the positioning of the bones. CONCLUSIONS Proton therapy for loco-regional lung cancer demands daily imaging and therapy adaptation for a high proportion of patients.
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Affiliation(s)
- Lone Hoffmann
- Department of Medical Physics, Aarhus University Hospital, Denmark.
| | - Markus Alber
- Department of Radiation Oncology, Heidelberg University Hospital, Germany
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21
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Adaptive radiotherapy for advanced lung cancer ensures target coverage and decreases lung dose. Radiother Oncol 2016; 121:32-38. [DOI: 10.1016/j.radonc.2016.08.019] [Citation(s) in RCA: 61] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2016] [Revised: 08/16/2016] [Accepted: 08/29/2016] [Indexed: 12/25/2022]
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