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Kim W, Kim HJ, Park JH, Huh HD, Choi SH. Treatment Results of CyberKnife Radiosurgery for Patients with Primary or Recurrent Non-Small Cell Lung Cancer. ACTA ACUST UNITED AC 2011. [DOI: 10.3857/jkstro.2011.29.1.28] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Affiliation(s)
- Woochul Kim
- Department of Radiation Oncology, Inha University School of Medicine, Incheon, Korea
| | - Hun-Jung Kim
- Department of Radiation Oncology, Inha University School of Medicine, Incheon, Korea
| | - Jeong Hoon Park
- Department of Radiation Oncology, Inha University School of Medicine, Incheon, Korea
| | - Hyun Do Huh
- Department of Radiation Oncology, Inha University School of Medicine, Incheon, Korea
| | - Sang Huoun Choi
- Department of Radiation Oncology, Inha University School of Medicine, Incheon, Korea
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Jin JY, Kong FM, Liu D, Ren L, Li H, Zhong H, Movsas B, Chetty IJ. A TCP model incorporating setup uncertainty and tumor cell density variation in microscopic extension to guide treatment planning. Med Phys 2010; 38:439-48. [DOI: 10.1118/1.3531543] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Galerani AP, Grills I, Hugo G, Kestin L, Mohammed N, Chao KK, Suen A, Martinez A, Yan D. Dosimetric Impact of Online Correction via Cone-Beam CT-Based Image Guidance for Stereotactic Lung Radiotherapy. Int J Radiat Oncol Biol Phys 2010; 78:1571-8. [DOI: 10.1016/j.ijrobp.2010.02.012] [Citation(s) in RCA: 25] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2009] [Revised: 01/13/2010] [Accepted: 02/15/2010] [Indexed: 11/25/2022]
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Extra-cranial Stereotactic Radiation Therapy (ESRT) in the treatment of inoperable stage 1 & 2 non-small-cell lung cancer patients with highly mobile tumours: a literature review. JOURNAL OF RADIOTHERAPY IN PRACTICE 2010. [DOI: 10.1017/s1460396910000105] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
AbstractObjective: Extra-cranial Stereotactic Radiation Therapy (ESRT) techniques and equipment utilised in the treatment of Stage 1 or 2 inoperable non-small-cell lung cancer (NSCLC); accounting for Respiratory Induced Tumour Motion (RITM).Methods: A narrative review of current world literature.Results: Four main strategies are employed to address RITM: (1) tumour movement minimisation/immobilisation; (2) integration of respiratory movements into planning; (3) respiratory-gating techniques; and (iv) tumour-tracking techniques.Discussion: Analysis of data gathered suggests that due to inherent difficulties with respiratory function, combined with co-morbidities and the level of dose escalation facilitated by ESRT: techniques that do not require patient ability to comply are more likely to be effective with a wider range of patients. Similarly, treatment planning must incorporate accurate four-dimensional (4D) data to ensure target coverage, although setup and verification should be controlled to smaller margins for error.Conclusion: The disparate nature of reporting methods restricts statistical comparison. However, this paper suggests that the ESRT technique using abdominal compression (AC), free-breathing respiratory-gating (FBRG), 4D computed tomography (4DCT) planning, combined with daily on board kV cone beam computed tomography (CBCT) imaging for setup and target verification, is a possible candidate for further treatment regime assessments in large multi-centre trials.
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Hanna GG, Hounsell AR, O'Sullivan JM. Geometrical analysis of radiotherapy target volume delineation: a systematic review of reported comparison methods. Clin Oncol (R Coll Radiol) 2010; 22:515-25. [PMID: 20554168 DOI: 10.1016/j.clon.2010.05.006] [Citation(s) in RCA: 91] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2009] [Revised: 03/16/2010] [Accepted: 05/04/2010] [Indexed: 01/08/2023]
Abstract
Radiotherapy target volume definition is a critical step in the radiotherapy treatment planning process for all tumour sites. New technology may improve the identification of tumour from normal tissue for the purposes of target volume definition. In assessing the proffered benefits of new technologies, rigorous methods of comparison are necessary. A review of published studies was conducted using PubMed (National Library of Medicine) between 1 January 1995 and 1 January 2009 using predefined search terms. The frequency of usage of the various methods of geometrical comparison (simple volume assessment, centre of mass analysis, concordance index and volume edge analysis) was recorded. Sixty-three studies were identified, across a range of primary tumour sites. The most common method of target volume analysis was simple volume measurement; this was described in 84% of the papers analysed. The concordance index type analysis was described in 30%, the centre of mass analysis in 9.5% and the volume edge analysis in 4.8%. In reporting geometrical differences between target volumes no standard exists. However, to optimally describe geometrical changes in target volumes, simple volume change and a measure of positional change should be assessed.
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Affiliation(s)
- G G Hanna
- Centre for Cancer Research and Cell Biology, Queen's University of Belfast, Belfast, UK.
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Wanet M, Lee JA, Weynand B, De Bast M, Poncelet A, Lacroix V, Coche E, Grégoire V, Geets X. Gradient-based delineation of the primary GTV on FDG-PET in non-small cell lung cancer: a comparison with threshold-based approaches, CT and surgical specimens. Radiother Oncol 2010; 98:117-25. [PMID: 21074882 DOI: 10.1016/j.radonc.2010.10.006] [Citation(s) in RCA: 135] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2010] [Revised: 10/01/2010] [Accepted: 10/03/2010] [Indexed: 11/30/2022]
Abstract
PURPOSE The aim of this study was to validate a gradient-based segmentation method for GTV delineation on FDG-PET in NSCLC through surgical specimen, in comparison with threshold-based approaches and CT. MATERIALS AND METHODS Ten patients with stage I-II NSCLC were prospectively enrolled. Before lobectomy, all patients underwent contrast enhanced CT and gated FDG-PET. Next, the surgical specimen was removed, inflated with gelatin, frozen and sliced. The digitized slices were used to reconstruct the 3D macroscopic specimen. GTVs were manually delineated on the macroscopic specimen and on CT images. GTVs were automatically segmented on PET images using a gradient-based method, a source to background ratio method and fixed threshold values at 40% and 50% of SUV(max). All images were finally registered. Analyses of raw volumes and logarithmic differences between GTVs and GTV(macro) were performed on all patients and on a subgroup excluding the poorly defined tumors. A matching analysis between the different GTVs was also conducted using Dice's similarity index. RESULTS Considering all patients, both lung and mediastinal windowed CT overestimated the macroscopy, while FDG-PET provided closer values. Among various PET segmentation methods, the gradient-based technique best estimated the true tumor volume. When analysis was restricted to well defined tumors without lung fibrosis or atelectasis, the mediastinal windowed CT accurately assessed the macroscopic specimen. Finally, the matching analysis did not reveal significant difference between the different imaging modalities. CONCLUSIONS FDG-PET improved the GTV definition in NSCLC including when the primary tumor was surrounded by modifications of the lung parenchyma. In this context, the gradient-based method outperformed the threshold-based ones in terms of accuracy and robustness. In other cases, the conventional mediastinal windowed CT remained appropriate.
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Affiliation(s)
- Marie Wanet
- Department of Radiation Oncology, Center of Molecular Imaging and Experimental Radiotherapy, Université Catholique de Louvain, Brussels, Belgium
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Wang W, Feng X, Zhang T, Jin J, Wang S, Liu Y, Song Y, Liu X, Yu Z, Li Y. Prospective evaluation of microscopic extension using whole-mount preparation in patients with hepatocellular carcinoma: Definition of clinical target volume for radiotherapy. Radiat Oncol 2010; 5:73. [PMID: 20731853 PMCID: PMC2936917 DOI: 10.1186/1748-717x-5-73] [Citation(s) in RCA: 27] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2010] [Accepted: 08/23/2010] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND To define the clinical target volume (CTV) for radiotherapy in patients with hepatocellular carcinoma (HCC). METHODS A prospective study was conducted to histologically evaluate the presence and the distance of microscopic extension (ME) for resected HCC on the basis of examination of whole-mount preparations of carcinoma tissue sections. RESULTS A total of 380 whole-mount slides prepared from tumor samples of 76 patients with HCC were examined. Patients with elevated pretreatment AFP levels exhibited higher risk of ME as compared to those with normal pretreatment AFP levels (93.9% vs. 69.8%, P < 0.01). ME positivity was 16.7% for Grade 1, 79.1% for Grade 2, and 96.3% for Grade 3 tumors (P < 0.01). The mean distance of ME was 0.0 ± 0.1 mm (range 0-0.2 mm) for Grade 1, 0.9 ± 0.9 mm (range 0-4.5 mm) for Grade 2, and 1.9 ± 1.9 mm (range 0-8.0 mm) for Grade 3 tumors (P < 0.01). CONCLUSIONS The CTV margins for tumor Grades 1, 2, and 3 HCC, are recommended to be 0.2 mm, 4.5 mm, and 8.0 mm beyond the gross tumor margin, respectively, to account for possible ME of the tumors in all patients.
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Affiliation(s)
- Weihu Wang
- Department of Radiation Oncology, Cancer Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, PR China
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Adaptive radiation for lung cancer. JOURNAL OF ONCOLOGY 2010; 2011. [PMID: 20814539 PMCID: PMC2931378 DOI: 10.1155/2011/898391] [Citation(s) in RCA: 27] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/14/2010] [Accepted: 06/24/2010] [Indexed: 12/25/2022]
Abstract
The challenges of lung cancer radiotherapy are intra/inter-fraction tumor/organ anatomy/motion changes and the
need to spare surrounding critical structures. Evolving radiotherapy technologies, such as four-dimensional (4D) image-based motion management, daily on-board imaging and adaptive radiotherapy based on volumetric images over the course of radiotherapy, have enabled us to deliver higher dose to target while minimizing normal tissue toxicities. The image-guided radiotherapy adapted to changes of motion and anatomy has made the radiotherapy more precise and allowed ablative dose delivered to the target using novel treatment approaches such as intensity-modulated radiation therapy, stereotactic body radiation therapy, and proton therapy in lung cancer, techniques used to be considered very sensitive to motion change. Future clinical trials using real time tracking and biological adaptive radiotherapy based on functional images are proposed.
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Benedict SH, Yenice KM, Followill D, Galvin JM, Hinson W, Kavanagh B, Keall P, Lovelock M, Meeks S, Papiez L, Purdie T, Sadagopan R, Schell MC, Salter B, Schlesinger DJ, Shiu AS, Solberg T, Song DY, Stieber V, Timmerman R, Tomé WA, Verellen D, Wang L, Yin FF. Stereotactic body radiation therapy: the report of AAPM Task Group 101. Med Phys 2010; 37:4078-101. [PMID: 20879569 DOI: 10.1118/1.3438081] [Citation(s) in RCA: 1387] [Impact Index Per Article: 99.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023] Open
Abstract
Task Group 101 of the AAPM has prepared this report for medical physicists, clinicians, and therapists in order to outline the best practice guidelines for the external-beam radiation therapy technique referred to as stereotactic body radiation therapy (SBRT). The task group report includes a review of the literature to identify reported clinical findings and expected outcomes for this treatment modality. Information is provided for establishing a SBRT program, including protocols, equipment, resources, and QA procedures. Additionally, suggestions for developing consistent documentation for prescribing, reporting, and recording SBRT treatment delivery is provided.
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Affiliation(s)
- Stanley H Benedict
- University of Virginia Health System, Charlottesville, Virginia 22908, USA.
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Optimal image-guidance scenario with cone-beam computed tomography in conventionally fractionated radiotherapy for lung tumors. Am J Clin Oncol 2010; 33:276-80. [PMID: 19841573 DOI: 10.1097/coc.0b013e3181aaca41] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
PURPOSE To determine the residual setup errors of several image guidance scenarios, using cone-beam computed tomography (CBCT) in conventionally fractionated radiotherapy for lung tumors. METHODS Thirteen lung cancer patients were treated with conventionally fractionated radiotherapy, using daily image guidance with CBCT, resulting in 389 CBCT scans which were registered to the planning scan using automated soft-tissue registration. Using the resulting daily alignment data, 4 imaging frequency scenarios were analyzed: (A) no imaging; (B) weekly imaging with a 3-mm threshold; (C) first 5 fractions imaged, then weekly imaging with a patient-specific threshold; and (D) imaging every other day. RESULTS The systematic setup error (Sigma) was reduced with increasing frequency of imaging from 3.4 mm for no imaging to 1.0 mm for imaging every other day. Random setup error (sigma), however, varied little regardless of the frequency of imaging: 2.9, 3.0, 3.4, and 3.2 mm for scenarios A, B, C, and D, respectively. The setup margins required to account for the residual error of each imaging scenario were 1 to 1.6 cm for scenario A, 4 to 6 mm for scenarios B and C, and 4 to 5 mm for scenario D. As the residual error of daily CBCT was not included in this analysis, these margins compare with a margin of zero for daily CBCT. CONCLUSIONS Daily image guidance is ideal as the setup margin can be reduced by about 5 mm versus a nondaily imaging scenario. However, if daily image guidance is not possible, there is little benefit in imaging more often than once a week.
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Yu HM, Liu YF, Hou M, Liu J, Li XN, Yu JM. Evaluation of gross tumor size using CT, 18F-FDG PET, integrated 18F-FDG PET/CT and pathological analysis in non-small cell lung cancer. Eur J Radiol 2009; 72:104-13. [DOI: 10.1016/j.ejrad.2008.06.015] [Citation(s) in RCA: 40] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2007] [Revised: 05/09/2008] [Accepted: 06/03/2008] [Indexed: 11/17/2022]
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Siedschlag C, van Loon J, van Baardwijk A, Rossi MMG, van Pel R, Blaauwgeers JLG, van Suylen RJ, Boersma L, Stroom J, Gilhuijs KGA. Analysis of the relative deformation of lung lobes before and after surgery in patients with NSCLC. Phys Med Biol 2009; 54:5483-92. [DOI: 10.1088/0031-9155/54/18/009] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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Brown WT, Wu X, Fayad F, Fowler JF, García S, Monterroso MI, de la Zerda A, Schwade JG. Application of robotic stereotactic radiotherapy to peripheral stage I non-small cell lung cancer with curative intent. Clin Oncol (R Coll Radiol) 2009; 21:623-31. [PMID: 19682875 DOI: 10.1016/j.clon.2009.06.006] [Citation(s) in RCA: 54] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2008] [Revised: 06/01/2009] [Accepted: 06/03/2009] [Indexed: 12/24/2022]
Abstract
AIMS To determine the effectiveness of robotic stereotactic radiotherapy with image guidance and real-time respiratory tracking against early stage peripheral lung cancer. MATERIALS AND METHODS We treated patients with stage I non-small cell lung cancer (NSCLC) with CyberKnife and analysed their clinical characteristics and outcomes. All patients had co-morbid conditions that precluded lobectomy. The clinical target volume (CTV) included the gross tumour volume (GTV) and a 6mm margin in all directions to account for microscopic extension. The planning target volume (PTV) equalled CTV+2mm in all directions for uncertainty. Tumour motion was tracked using a combination of Synchrony and Xsight Spine tracking methods with the aid of a single gold marker implanted in the centre of the tumour, or using the newer Xsight Lung method without markers for selected tumours. A 60-67.5 Gy dose was prescribed to the 60-80% isodose line (median 65%) and given in three to five fractions. Patients were followed every 3 months for a median of 27.5 months (range 24-53 months). RESULTS Of the 67 patients with NSCLC stage IA or IB treated between January 2004 and December 2008, we report the results of a cohort of 31 with peripheral stage I tumours of 0.6-71 cm(3) volume treated between January 2004 and December 2007 with total doses between 60 and 67.5 Gy in three to five fractions. The median D(max) was 88.2 Gy and the median V(95) of the PTV was 99.6% or 27.9 cm(3). No grade 3 or above toxicity was encountered. Four cases of radiation pneumonitis and one case of oesophagitis were observed. In those patients whose pre- and post-treatment results were available, no change in pulmonary function tests was observed. Actuarial local control was 93.2% for 1 year and 85.8% for up to 4.5 years. One-year overall survival was 93.6% and 83.5% for up to 4.5 years, as projected by Kaplan-Meier analyses. CONCLUSIONS In this small cohort of patients with stage I peripheral NSCLC, robotic stereotactic radiotherapy seems to be a safe and obviously superior alternative to conventionally fractionated radiotherapy, with results that may be approaching those obtained with lobectomy without the associated morbidity.
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Affiliation(s)
- W T Brown
- CyberKnife Center of Miami, Miami, Florida, USA.
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Yu J, Li X, Xing L, Mu D, Fu Z, Sun X, Sun X, Yang G, Zhang B, Sun X, Ling CC. Comparison of tumor volumes as determined by pathologic examination and FDG-PET/CT images of non-small-cell lung cancer: a pilot study. Int J Radiat Oncol Biol Phys 2009; 75:1468-74. [PMID: 19464822 DOI: 10.1016/j.ijrobp.2009.01.019] [Citation(s) in RCA: 59] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2008] [Revised: 01/05/2009] [Accepted: 01/06/2009] [Indexed: 01/18/2023]
Abstract
PURPOSE To determine the cut-off standardized uptake value (SUV) on (18)F fluoro-2-deoxy-glucose (FDG) positron emission tomography/computed tomography (FDG-PET/CT) images that generates the best volumetric match to pathologic gross tumor volume (GTV(path)) for non-small-cell lung cancer (NSCLC). METHODS AND MATERIALS Fifteen patients with NSCLC who underwent FDG-PET/CT scans followed by lobectomy were enrolled. The surgical specimen was dissected into 5-7-mum sections at approximately 4-mm intervals and stained with hematoxylin and eosin. The tumor-containing area was outlined slice by slice and the GTV(path) determined by summing over all the slices, taking into account the interslice thickness and fixation-induced volume reduction. The gross tumor volume from the PET images, GTV(PET), was determined as a function of cut-off SUV. The optimal threshold or optimal absolute SUV was defined as the value at which the GTV(PET) was the same as the GTV(path). RESULTS The fixation process induced a volumetric reduction to 82% +/- 10% (range, 62-100%) of the original. The maximal SUV was 10.1 +/- 3.6 (range, 4.2-18.7). The optimal threshold and absolute SUV were 31% +/- 11% and 3.0 +/- 1.6, respectively. The optimal threshold was inversely correlated with GTV(path) and tumor diameter (p < 0.05), but the optimal absolute SUV had no significant correlation with GTV(path) or tumor diameter (p > 0.05). CONCLUSION This study evaluated the use of GTV(path) as a criterion for determining the optimal cut-off SUV for NSCLC target volume delineation. Confirmatory studies including more cases are being performed.
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Affiliation(s)
- Jinming Yu
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Jinan, China.
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MACPHERSON RE, HIGGINS GS, MURCHISON JT, WALLACE WAH, PRICE A, GAFFNEY S, ERRIDGE SC. Non-small-cell lung cancer dimensions: CT–pathological correlation and interobserver variation. Br J Radiol 2009; 82:421-5. [DOI: 10.1259/bjr/28687035] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
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Vorwerk H, Beckmann G, Bremer M, Degen M, Dietl B, Fietkau R, Gsänger T, Hermann RM, Alfred Herrmann MK, Höller U, van Kampen M, Körber W, Maier B, Martin T, Metz M, Richter R, Siekmeyer B, Steder M, Wagner D, Hess CF, Weiss E, Christiansen H. The delineation of target volumes for radiotherapy of lung cancer patients. Radiother Oncol 2009; 91:455-60. [PMID: 19339069 DOI: 10.1016/j.radonc.2009.03.014] [Citation(s) in RCA: 63] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2008] [Revised: 03/05/2009] [Accepted: 03/07/2009] [Indexed: 10/20/2022]
Abstract
PURPOSE Differences in the delineation of the gross target volume (GTV) and planning target volume (PTV) in patients with non-small-cell lung cancer are considerable. The focus of this work is on the analysis of observer-related reasons while controlling for other variables. METHODS In three consecutive patients, eighteen physicians from fourteen different departments delineated the GTV and PTV in CT-slices using a detailed instruction for target delineation. Differences in the volumes, the delineated anatomic lymph node compartments and differences in every delineated pixel of the contoured volumes in the CT-slices (pixel-by-pixel-analysis) were evaluated for different groups: ten radiation oncologists from ten departments (ROs), four haematologic oncologists and chest physicians from four departments (HOs) and five radiation oncologists from one department (RO1D). RESULTS Agreement (overlap > or = 70% of the contoured pixels) for the GTV and PTV delineation was found in 16.3% and 23.7% (ROs), 30.4% and 38.6% (HOs) and 32.8% and 35.9% (RO1D), respectively. CONCLUSION A large interobserver variability in the PTV and much more in the GTV delineation were observed in spite of a detailed instruction for delineation. The variability was smallest for group ROID where due to repeated discussions and uniform teaching a better agreement was achieved.
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Affiliation(s)
- Hilke Vorwerk
- Department of Radiotherapy and Radiooncology, University Hospital Göttingen, Robert-Koch-Strasse, Germany.
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Practical considerations arising from the implementation of lung stereotactic body radiation therapy (SBRT) at a comprehensive cancer center. J Thorac Oncol 2009; 3:1332-41. [PMID: 18978570 DOI: 10.1097/jto.0b013e31818b1771] [Citation(s) in RCA: 34] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
INTRODUCTION With the anticipation of improved outcomes, especially for patients with early-stage non-small cell lung cancer, stereotactic body radiation therapy (SBRT) has been rapidly introduced into the thoracic radiation oncology community. Although at first glance lung SBRT might seem methodologically similar to conventional radiotherapy, there are important differences in its execution that require particular consideration. The objective of this paper is to highlight these and other issues to contribute to the safe and effective diffusion of lung SBRT. We discuss practical challenges that have been encountered in the implementation of lung SBRT at a single, large institution and emphasize the importance of a systematic approach to the design of lung SBRT services. METHODS Specific technical and clinical components that were identified as being important during the development of lung SBRT at Princess Margaret Hospital are described. The clinical system that evolved from these is outlined. RESULTS Using this clinical framework the practical topics addressed include: patient assessment, simulation and treatment planning, tumor and organ at risk delineation, trial set up before treatment, on-line image-guidance, and patient follow-up. CONCLUSIONS The potential gain in therapeutic ratio that is theoretically possible with lung SBRT can only be realized if the tumor is adequately irradiated and normal tissue spared. A discussion of the component parts of lung SBRT is presented. It is a complex process and specific challenges need to be overcome to effect the satisfactory transition of lung SBRT into routine practice.
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Arvidson NB, Mehta MP, Tomé WA. Dose coverage beyond the gross tumor volume for various stereotactic body radiotherapy planning techniques reporting similar control rates for stage I non-small-cell lung cancer. Int J Radiat Oncol Biol Phys 2008; 72:1597-603. [PMID: 19028283 DOI: 10.1016/j.ijrobp.2008.07.048] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2008] [Accepted: 07/28/2008] [Indexed: 12/26/2022]
Abstract
PURPOSE To investigate the dose falloff region for various stereotactic body radiotherapy (SBRT) planning techniques used in the treatment of Stage I non-small-cell lung cancer reporting similar control rates. METHODS AND MATERIALS The SBRT plans were constructed on five patient data sets using seven different planning regimens. These regimens varied in the number of beams, number of fractions, prescription target, and prescribed dose used. For each case all regimens were planned using a common gross tumor volume (GTV). To compare dose falloff for the various regimens, resulting physical dose grids were converted into normalized total dose (NTD) grids. Furthermore, to determine the potential coverage of microscopic extension of the various regimens minimal peripheral NTD (NTD-MP(100)) were calculated and plotted as a function of incremental volume expansions of the GTV. RESULTS Average values for NTD-MP(100) varied over a range of 174 Gy at the GTV periphery, but this range fell to 10 Gy at a distance of 14 mm from the GTV. Of 35 plans, 23 resulted in potential microscopic extension coverage of 78% to 95%. Averages for five of seven regimens fell within the range of 80% to 85%. Results were negligibly affected when intrafraction motion effects were accounted for. CONCLUSIONS Although average NTD-MP(100) varied dramatically at the GTV, periphery values became similar at a distance of 14 mm from the GTV. With the exception of two, potential coverage of microscopic extension was similar for all planning techniques, with averages falling within a 5% range.
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Affiliation(s)
- Noah B Arvidson
- Department of Medical Physics, University of Wisconsin, Madison, WI, USA
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Use of Maximum Intensity Projections (MIPs) for Target Outlining in 4DCT Radiotherapy Planning. J Thorac Oncol 2008; 3:1433-8. [DOI: 10.1097/jto.0b013e31818e5db7] [Citation(s) in RCA: 65] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Fox J, Ford E, Redmond K, Zhou J, Wong J, Song DY. Quantification of tumor volume changes during radiotherapy for non-small-cell lung cancer. Int J Radiat Oncol Biol Phys 2008; 74:341-8. [PMID: 19038504 DOI: 10.1016/j.ijrobp.2008.07.063] [Citation(s) in RCA: 89] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2008] [Revised: 06/25/2008] [Accepted: 07/31/2008] [Indexed: 10/21/2022]
Abstract
PURPOSE Dose escalation for lung cancer is limited by normal tissue toxicity. We evaluated sequential computed tomography (CT) scans to assess the possibility of adaptively reducing treatment volumes by quantifying the tumor volume reduction occurring during a course of radiotherapy (RT). METHODS AND MATERIALS A total of 22 patients underwent RT for Stage I-III non-small-cell lung cancer with conventional fractionation; 15 received concurrent chemotherapy. Two repeat CT scans were performed at a nominal dose of 30 Gy and 50 Gy. Respiration-correlated four-dimensional CT scans were used for evaluation of respiratory effects in 17 patients. The gross tumor volume (GTV) was delineated on simulation and all individual phases of the repeat CT scans. Parenchymal tumor was evaluated unless the nodal volume was larger or was the primary. Subsequent image sets were spatially co-registered with the simulation data for evaluation. RESULTS The median GTV reduction was 24.7% (range, -0.3% to 61.7%; p < 0.001, two-tailed t test) at the first repeat scan and 44.3% (range, 0.2-81.6%, p < 0.001) at the second repeat scan. The volume reduction was not significantly different between patients receiving chemoradiotherapy vs. RT alone, a GTV >100 cm(3) vs. <100 cm(3), and hilar and/or mediastinal involvement vs. purely parenchymal or pleural lesions. A tendency toward a greater volume reduction with increasing dose was seen, although this did not reach statistical significance. CONCLUSION The results of this study have demonstrated significant alterations in the GTV seen on repeat CT scans during RT. These observations raise the possibility of using an adaptive approach toward RT of non-small-cell lung cancer to minimize the dose to normal structures and more safely increase the dose directed at the target tissues.
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Affiliation(s)
- Jana Fox
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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Dahele M, Hwang D, Peressotti C, Sun L, Kusano M, Okhai S, Darling G, Yaffe M, Caldwell C, Mah K, Hornby J, Ehrlich L, Raphael S, Tsao M, Behzadi A, Weigensberg C, Ung Y. Developing a methodology for three-dimensional correlation of PET-CT images and whole-mount histopathology in non-small-cell lung cancer. Curr Oncol 2008; 15:62-9. [PMID: 19008992 PMCID: PMC2582510 DOI: 10.3747/co.v15i5.349] [Citation(s) in RCA: 30] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND Understanding the three-dimensional (3D) volumetric relationship between imaging and functional or histopathologic heterogeneity of tumours is a key concept in the development of image-guided radiotherapy. Our aim was to develop a methodologic framework to enable the reconstruction of resected lung specimens containing non-small-cell lung cancer (NSCLC), to register the result in 3D with diagnostic imaging, and to import the reconstruction into a radiation treatment planning system. METHODS AND RESULTS We recruited 12 patients for an investigation of radiology-pathology correlation (RPC) in nsclc. Before resection, imaging by positron emission tomography (PET) or computed tomography (CT) was obtained. Resected specimens were formalin-fixed for 1-24 hours before sectioning at 3-mm to 10-mm intervals. To try to retain the original shape, we embedded the specimens in agar before sectioning. Consecutive sections were laid out for photography and manually adjusted to maintain shape. Following embedding, the tissue blocks underwent whole-mount sectioning (4-mum sections) and staining with hematoxylin and eosin. Large histopathology slides were used to whole-mount entire sections for digitization. The correct sequence was maintained to assist in subsequent reconstruction. Using Photoshop (Adobe Systems Incorporated, San Jose, CA, U.S.A.), contours were placed on the photographic images to represent the external borders of the section and the extent of macroscopic disease. Sections were stacked in sequence and manually oriented in Photoshop. The macroscopic tumour contours were then transferred to MATLAB (The Mathworks, Natick, MA, U.S.A.) and stacked, producing 3D surface renderings of the resected specimen and embedded gross tumour. To evaluate the microscopic extent of disease, customized "tile-based" and commercial confocal panoramic laser scanning (TISSUEscope: Biomedical Photometrics, Waterloo, ON) systems were used to generate digital images of whole-mount histopathology sections. Using the digital whole-mount images and imaging software, we contoured the gross and microscopic extent of disease. Two methods of registering pathology and imaging were used. First, selected pet and ct images were transferred into Photoshop, where they were contoured, stacked, and reconstructed. After importing the pathology and the imaging contours to MATLAB, the contours were reconstructed, manually rotated, and rigidly registered. In the second method, MATLAB tumour renderings were exported to a software platform for manual registration with the original pet and ct images in multiple planes. Data from this software platform were then exported to the Pinnacle radiation treatment planning system in DICOM (Digital Imaging and Communications in Medicine) format. CONCLUSIONS There is no one definitive method for 3D volumetric RPC in nsclc. An innovative approach to the 3D reconstruction of resected nsclc specimens incorporates agar embedding of the specimen and whole-mount digital histopathology. The reconstructions can be rigidly and manually registered to imaging modalities such as ct and pet and exported to a radiation treatment planning system.
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Affiliation(s)
- M. Dahele
- Radiation Medicine Program, Princess Margaret Hospital, University Health Network, Toronto, ON
- Department of Radiation Oncology (Dahele, Ung), Department of Pathology (Hwang, Mah, Raphael, Tsao), Division of Thoracic Surgery (Darling), Department of Medical Imaging (Ehrlich, Yaffe, Caldwell), and Department of Medical Biophysics (Yaffe, Caldwell), University of Toronto, Toronto, ON
| | - D. Hwang
- Department of Radiation Oncology (Dahele, Ung), Department of Pathology (Hwang, Mah, Raphael, Tsao), Division of Thoracic Surgery (Darling), Department of Medical Imaging (Ehrlich, Yaffe, Caldwell), and Department of Medical Biophysics (Yaffe, Caldwell), University of Toronto, Toronto, ON
- Department of Pathology (Hwang, Tsao) and Division of Thoracic Surgery (Darling, Hornby), Toronto General Hospital, University Health Network, Toronto, ON
| | - C. Peressotti
- Department of Imaging Research, Sunnybrook Research Institute (Peressotti, Sun, Kusano, Okhai, Yaffe, Caldwell, Mah); Department of Medical Physics (Mah); Department of Medical Imaging (Ehrlich); and Department of Pathology (Raphael), Sunnybrook Health Sciences Centre, Toronto, ON
| | - L. Sun
- Department of Imaging Research, Sunnybrook Research Institute (Peressotti, Sun, Kusano, Okhai, Yaffe, Caldwell, Mah); Department of Medical Physics (Mah); Department of Medical Imaging (Ehrlich); and Department of Pathology (Raphael), Sunnybrook Health Sciences Centre, Toronto, ON
| | - M. Kusano
- Department of Imaging Research, Sunnybrook Research Institute (Peressotti, Sun, Kusano, Okhai, Yaffe, Caldwell, Mah); Department of Medical Physics (Mah); Department of Medical Imaging (Ehrlich); and Department of Pathology (Raphael), Sunnybrook Health Sciences Centre, Toronto, ON
| | - S. Okhai
- Department of Imaging Research, Sunnybrook Research Institute (Peressotti, Sun, Kusano, Okhai, Yaffe, Caldwell, Mah); Department of Medical Physics (Mah); Department of Medical Imaging (Ehrlich); and Department of Pathology (Raphael), Sunnybrook Health Sciences Centre, Toronto, ON
| | - G. Darling
- Department of Radiation Oncology (Dahele, Ung), Department of Pathology (Hwang, Mah, Raphael, Tsao), Division of Thoracic Surgery (Darling), Department of Medical Imaging (Ehrlich, Yaffe, Caldwell), and Department of Medical Biophysics (Yaffe, Caldwell), University of Toronto, Toronto, ON
- Department of Pathology (Hwang, Tsao) and Division of Thoracic Surgery (Darling, Hornby), Toronto General Hospital, University Health Network, Toronto, ON
| | - M. Yaffe
- Department of Radiation Oncology (Dahele, Ung), Department of Pathology (Hwang, Mah, Raphael, Tsao), Division of Thoracic Surgery (Darling), Department of Medical Imaging (Ehrlich, Yaffe, Caldwell), and Department of Medical Biophysics (Yaffe, Caldwell), University of Toronto, Toronto, ON
- Department of Imaging Research, Sunnybrook Research Institute (Peressotti, Sun, Kusano, Okhai, Yaffe, Caldwell, Mah); Department of Medical Physics (Mah); Department of Medical Imaging (Ehrlich); and Department of Pathology (Raphael), Sunnybrook Health Sciences Centre, Toronto, ON
| | - C. Caldwell
- Department of Radiation Oncology (Dahele, Ung), Department of Pathology (Hwang, Mah, Raphael, Tsao), Division of Thoracic Surgery (Darling), Department of Medical Imaging (Ehrlich, Yaffe, Caldwell), and Department of Medical Biophysics (Yaffe, Caldwell), University of Toronto, Toronto, ON
- Department of Imaging Research, Sunnybrook Research Institute (Peressotti, Sun, Kusano, Okhai, Yaffe, Caldwell, Mah); Department of Medical Physics (Mah); Department of Medical Imaging (Ehrlich); and Department of Pathology (Raphael), Sunnybrook Health Sciences Centre, Toronto, ON
| | - K. Mah
- Department of Radiation Oncology (Dahele, Ung), Department of Pathology (Hwang, Mah, Raphael, Tsao), Division of Thoracic Surgery (Darling), Department of Medical Imaging (Ehrlich, Yaffe, Caldwell), and Department of Medical Biophysics (Yaffe, Caldwell), University of Toronto, Toronto, ON
- Department of Imaging Research, Sunnybrook Research Institute (Peressotti, Sun, Kusano, Okhai, Yaffe, Caldwell, Mah); Department of Medical Physics (Mah); Department of Medical Imaging (Ehrlich); and Department of Pathology (Raphael), Sunnybrook Health Sciences Centre, Toronto, ON
| | - J. Hornby
- Department of Pathology (Hwang, Tsao) and Division of Thoracic Surgery (Darling, Hornby), Toronto General Hospital, University Health Network, Toronto, ON
| | - L. Ehrlich
- Department of Radiation Oncology (Dahele, Ung), Department of Pathology (Hwang, Mah, Raphael, Tsao), Division of Thoracic Surgery (Darling), Department of Medical Imaging (Ehrlich, Yaffe, Caldwell), and Department of Medical Biophysics (Yaffe, Caldwell), University of Toronto, Toronto, ON
- Department of Imaging Research, Sunnybrook Research Institute (Peressotti, Sun, Kusano, Okhai, Yaffe, Caldwell, Mah); Department of Medical Physics (Mah); Department of Medical Imaging (Ehrlich); and Department of Pathology (Raphael), Sunnybrook Health Sciences Centre, Toronto, ON
| | - S. Raphael
- Department of Radiation Oncology (Dahele, Ung), Department of Pathology (Hwang, Mah, Raphael, Tsao), Division of Thoracic Surgery (Darling), Department of Medical Imaging (Ehrlich, Yaffe, Caldwell), and Department of Medical Biophysics (Yaffe, Caldwell), University of Toronto, Toronto, ON
- Department of Imaging Research, Sunnybrook Research Institute (Peressotti, Sun, Kusano, Okhai, Yaffe, Caldwell, Mah); Department of Medical Physics (Mah); Department of Medical Imaging (Ehrlich); and Department of Pathology (Raphael), Sunnybrook Health Sciences Centre, Toronto, ON
| | - M. Tsao
- Department of Radiation Oncology (Dahele, Ung), Department of Pathology (Hwang, Mah, Raphael, Tsao), Division of Thoracic Surgery (Darling), Department of Medical Imaging (Ehrlich, Yaffe, Caldwell), and Department of Medical Biophysics (Yaffe, Caldwell), University of Toronto, Toronto, ON
- Department of Pathology (Hwang, Tsao) and Division of Thoracic Surgery (Darling, Hornby), Toronto General Hospital, University Health Network, Toronto, ON
| | - A. Behzadi
- Department of Surgery (Behzadi) and Department of Pathology (Weigensberg), The Scarborough Hospital, Toronto, ON
| | - C. Weigensberg
- Department of Surgery (Behzadi) and Department of Pathology (Weigensberg), The Scarborough Hospital, Toronto, ON
| | - Y.C. Ung
- Department of Radiation Oncology (Dahele, Ung), Department of Pathology (Hwang, Mah, Raphael, Tsao), Division of Thoracic Surgery (Darling), Department of Medical Imaging (Ehrlich, Yaffe, Caldwell), and Department of Medical Biophysics (Yaffe, Caldwell), University of Toronto, Toronto, ON
- Department of Radiation Oncology, Odette Cancer Centre, Toronto, ON
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Radiotherapy for lung cancer: clinical impact of recent technical advances. Lung Cancer 2008; 64:1-8. [PMID: 18771814 DOI: 10.1016/j.lungcan.2008.07.008] [Citation(s) in RCA: 36] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2008] [Revised: 07/07/2008] [Accepted: 07/21/2008] [Indexed: 12/25/2022]
Abstract
Radiation oncology plays an important role in the curative treatment of patients with lung cancer. New technological developments have enabled delivery of higher radiation doses while better sparing surrounding normal tissues, thereby increasing the likelihood of local control without increased toxicity. Multi-modality imaging enables better target definition, improved planning software allows for correct calculation of delivered doses, and tools to verify accurate treatment delivery are now available. A good example of the results of applying these developments is the high local control rates achieved in stage I NSCLC with stereotactic radiotherapy (SRT). These advances are rapidly becoming available outside academic institutions, and pulmonologists, surgeons and medical oncologists need to understand and critically assess the potential impact of such developments in the routine care of their patients. Aspects of cost-effectiveness of technical innovations, as well as the level of evidence required before widespread clinical implementation, will be addressed.
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Fritz P, Kraus HJ, Blaschke T, Mühlnickel W, Strauch K, Engel-Riedel W, Chemaissani A, Stoelben E. Stereotactic, high single-dose irradiation of stage I non-small cell lung cancer (NSCLC) using four-dimensional CT scans for treatment planning. Lung Cancer 2008; 60:193-9. [DOI: 10.1016/j.lungcan.2007.10.005] [Citation(s) in RCA: 54] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2006] [Revised: 10/03/2007] [Accepted: 10/08/2007] [Indexed: 12/25/2022]
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van Baardwijk A, Bosmans G, van Suylen RJ, van Kroonenburgh M, Hochstenbag M, Geskes G, Lambin P, De Ruysscher D. Correlation of intra-tumour heterogeneity on 18F-FDG PET with pathologic features in non-small cell lung cancer: a feasibility study. Radiother Oncol 2008; 87:55-8. [PMID: 18328584 DOI: 10.1016/j.radonc.2008.02.002] [Citation(s) in RCA: 58] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2007] [Revised: 01/21/2008] [Accepted: 02/03/2008] [Indexed: 12/12/2022]
Abstract
We evaluated the feasibility to correlate intra-tumour heterogeneity as visualized on 18F-FDG PET with histology for NSCLC. For this purpose we used an ex-vivo model. The procedure was feasible in all operated patients. We have shown that this method is suitable for correlating intra-tumour heterogeneity in tracer uptake with histology.
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Affiliation(s)
- Angela van Baardwijk
- Department of Radiation Oncology (MAASTRO), GROW , University Hospital Maastricht, Maastricht, The Netherlands.
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