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A secondary analysis of FDG spatio-temporal consistency in the randomized phase II PET-boost trial in stage II–III NSCLC. Radiother Oncol 2018; 127:259-266. [DOI: 10.1016/j.radonc.2018.03.020] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2017] [Revised: 03/14/2018] [Accepted: 03/15/2018] [Indexed: 12/25/2022]
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Parkinson C, Foley K, Whybra P, Hills R, Roberts A, Marshall C, Staffurth J, Spezi E. Evaluation of prognostic models developed using standardised image features from different PET automated segmentation methods. EJNMMI Res 2018; 8:29. [PMID: 29644499 PMCID: PMC5895559 DOI: 10.1186/s13550-018-0379-3] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2017] [Accepted: 03/23/2018] [Indexed: 12/25/2022] Open
Abstract
Background Prognosis in oesophageal cancer (OC) is poor. The 5-year overall survival (OS) rate is approximately 15%. Personalised medicine is hoped to increase the 5- and 10-year OS rates. Quantitative analysis of PET is gaining substantial interest in prognostic research but requires the accurate definition of the metabolic tumour volume. This study compares prognostic models developed in the same patient cohort using individual PET segmentation algorithms and assesses the impact on patient risk stratification. Consecutive patients (n = 427) with biopsy-proven OC were included in final analysis. All patients were staged with PET/CT between September 2010 and July 2016. Nine automatic PET segmentation methods were studied. All tumour contours were subjectively analysed for accuracy, and segmentation methods with < 90% accuracy were excluded. Standardised image features were calculated, and a series of prognostic models were developed using identical clinical data. The proportion of patients changing risk classification group were calculated. Results Out of nine PET segmentation methods studied, clustering means (KM2), general clustering means (GCM3), adaptive thresholding (AT) and watershed thresholding (WT) methods were included for analysis. Known clinical prognostic factors (age, treatment and staging) were significant in all of the developed prognostic models. AT and KM2 segmentation methods developed identical prognostic models. Patient risk stratification was dependent on the segmentation method used to develop the prognostic model with up to 73 patients (17.1%) changing risk stratification group. Conclusion Prognostic models incorporating quantitative image features are dependent on the method used to delineate the primary tumour. This has a subsequent effect on risk stratification, with patients changing groups depending on the image segmentation method used. Electronic supplementary material The online version of this article (10.1186/s13550-018-0379-3) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Craig Parkinson
- School of Engineering, Cardiff University, Queen's Buildings, 14-17 The Parade, Cardiff, CF24 3AA, UK
| | - Kieran Foley
- Division of Cancer and Genetics, School of Medicine, UHW Main Building, Heath Park, Cardiff, CF14 4XN, UK.
| | - Philip Whybra
- School of Engineering, Cardiff University, Queen's Buildings, 14-17 The Parade, Cardiff, CF24 3AA, UK
| | - Robert Hills
- Clinical Trials Unit, Cardiff University, Cardiff, CF10 3AT, UK
| | - Ashley Roberts
- Clinical Radiology, University Hospital of Wales, Heath Park, Cardiff, CF14 4XW, UK
| | - Chris Marshall
- Wales Research and Diagnostic PET Imaging Centre, Cardiff University, School of Medicine, Ground Floor, C Block, UHW Main Building, Heath Park, Cardiff, CF14 4XN, UK
| | - John Staffurth
- Division of Cancer and Genetics, School of Medicine, UHW Main Building, Heath Park, Cardiff, CF14 4XN, UK.,Velindre Cancer Centre, Velindre Rd, Cardiff, CF14 2TL, UK
| | - Emiliano Spezi
- School of Engineering, Cardiff University, Queen's Buildings, 14-17 The Parade, Cardiff, CF24 3AA, UK.,Velindre Cancer Centre, Velindre Rd, Cardiff, CF14 2TL, UK
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Calais J, Cao M, Nickols NG. The Utility of PET/CT in the Planning of External Radiation Therapy for Prostate Cancer. J Nucl Med 2018; 59:557-567. [PMID: 29301928 PMCID: PMC6910632 DOI: 10.2967/jnumed.117.196444] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2017] [Accepted: 12/01/2017] [Indexed: 12/25/2022] Open
Abstract
Radiotherapy and radical prostatectomy are the definitive treatment options for patients with localized prostate cancer. A rising level of prostate-specific antigen after radical prostatectomy indicates prostate cancer recurrence, and these patients may still be cured with salvage radiotherapy. To maximize chance for cure, the irradiated volumes should completely encompass the extent of disease. Therefore, accurate estimation of the location of disease is critical for radiotherapy planning in both the definitive and the salvage settings. Current first-line imaging for prostate cancer has limited sensitivity for detection of disease both at initial staging and at biochemical recurrence. Integration of PET into routine evaluation of prostate cancer patients may improve both staging accuracy and radiotherapy planning. 18F-FDG PET/CT is now routinely used in radiation planning for several cancer types. However, 18F-FDG PET/CT has low sensitivity for prostate cancer. Additional PET probes evaluated in prostate cancer include 18F-sodium fluoride, 11C-acetate, 11C- or 18F-choline, 18F-fluciclovine, and 68Ga- or 18F-labeled ligands that bind prostate-specific membrane antigen (PSMA). PSMA ligands appear to be the most sensitive and specific but have not yet received Food and Drug Administration New Drug Application approval for use in the United States. Retrospective and prospective investigations suggest a potential major impact of PET/CT on prostate radiation treatment planning. Prospective trials randomizing patients to routine radiotherapy planning versus PET/CT-aided planning may show meaningful clinical outcomes. Prospective clinical trials evaluating the addition of 18F-fluciclovine PET/CT for planning of salvage radiotherapy with clinical endpoints are under way. Prospective trials evaluating the clinical impact of PSMA PET/CT on prostate radiation planning are indicated.
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Affiliation(s)
- Jeremie Calais
- Ahmanson Translational Imaging Division, Department of Molecular and Medical Pharmacology, UCLA, Los Angeles, California
| | - Minsong Cao
- Department of Radiation Oncology, UCLA, Los Angeles, California; and
| | - Nicholas G Nickols
- Department of Radiation Oncology, UCLA, Los Angeles, California; and
- Department of Radiation Oncology, VA Greater Los Angeles Healthcare System, Los Angeles, California
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Nestle U, De Ruysscher D, Ricardi U, Geets X, Belderbos J, Pöttgen C, Dziadiuszko R, Peeters S, Lievens Y, Hurkmans C, Slotman B, Ramella S, Faivre-Finn C, McDonald F, Manapov F, Putora PM, LePéchoux C, Van Houtte P. ESTRO ACROP guidelines for target volume definition in the treatment of locally advanced non-small cell lung cancer. Radiother Oncol 2018; 127:1-5. [PMID: 29605476 DOI: 10.1016/j.radonc.2018.02.023] [Citation(s) in RCA: 121] [Impact Index Per Article: 20.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2018] [Revised: 02/22/2018] [Accepted: 02/22/2018] [Indexed: 12/18/2022]
Abstract
Radiotherapy (RT) plays a major role in the curative treatment of locally advanced non-small cell lung cancer (NSCLC). Therefore, the ACROP committee was asked by the ESTRO to provide recommendations on target volume delineation for standard clinical scenarios in definitive (chemo)radiotherapy (RT) and adjuvant RT for locally advanced NSCLC. The guidelines given here are a result of the evaluation of a structured questionnaire followed by a consensus discussion, voting and writing procedure within the committee. Hence, we provide advice for methods and time-points of diagnostics and imaging before the start of treatment planning and for the mandatory and optional imaging to be used for planning itself. Concerning target volumes, recommendations are given for GTV delineation of primary tumour and lymph nodes followed by issues related to the delineation of CTVs for definitive and adjuvant radiotherapy. In the context of PTV delineation, recommendations about the management of geometric uncertainties and target motion are given. We further provide our opinions on normal tissue delineation and organisational and responsibility questions in the process of target volume delineation. This guideline intends to contribute to the standardisation and optimisation of the process of RT treatment planning for clinical practice and prospective studies.
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Affiliation(s)
- Ursula Nestle
- Department of Radiation Oncology, Kliniken Maria Hilf, Moenchengladbach, Germany; Department of Radiation Oncology, University Hospital Freiburg, Germany.
| | - Dirk De Ruysscher
- Maastricht University Medical Center, Department of Radiation Oncology (Maastro clinic), GROW School for Oncology and Developmental Biology, The Netherlands; KU Leuven, Radiation Oncology, Belgium
| | | | - Xavier Geets
- Department of Radiation Oncology, Cliniques universitaires Saint-Luc, MIRO - IREC Lab, UCL, Belgium
| | - Jose Belderbos
- Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Christoph Pöttgen
- Department of Radiation Oncology, West German Tumor Centre, University of Duisburg-Essen Medical School, Germany
| | - Rafal Dziadiuszko
- Department of Oncology and Radiotherapy, Medical University of Gdańsk, Poland
| | - Stephanie Peeters
- Maastricht University Medical Center, Department of Radiation Oncology (Maastro clinic), GROW School for Oncology and Developmental Biology, The Netherlands
| | - Yolande Lievens
- Department of Radiation Oncology, Ghent University Hospital, Belgium
| | - Coen Hurkmans
- Catharina Hospital, Department of Radiation Oncology, Eindhoven, The Netherlands
| | - Ben Slotman
- Department of Radiation Oncology, VU University Medical Center, Amsterdam, The Netherlands
| | - Sara Ramella
- Department of Radiation Oncology, Campus Bio-Medico University, Rome, Italy
| | - Corinne Faivre-Finn
- University of Manchester & The Christie NHS Foundation Trust, Manchester, UK
| | - Fiona McDonald
- Department of Radiotherapy, The Royal Marsden NHS Foundation Trust, London, UK
| | - Farkhad Manapov
- Department of Radiation Oncology, University Hospital, LMU Munich, Germany
| | - Paul Martin Putora
- Department of Radiation Oncology, Kantonsspital St. Gallen, Switzerland; Medical Faculty, University of Bern, Switzerland
| | - Cécile LePéchoux
- Department of Radiation Oncology, Gustave Roussy Cancer Campus, Villejuif, France
| | - Paul Van Houtte
- Department Radiation Oncology, Institut Bordet, Université Libre Bruxelles, Belgium
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Gkika E, Oehlke O, Bunea H, Wiedenmann N, Adebahr S, Nestle U, Zamboglou C, Kirste S, Fennell J, Brunner T, Gainey M, Baltas D, Langer M, Urbach H, Bock M, Meyer PT, Grosu AL. Biological imaging for individualized therapy in radiation oncology: part II medical and clinical aspects. Future Oncol 2018. [DOI: 10.2217/fon-2017-0465] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Positron emission tomography and multiparametric MRI provide crucial information concerning tumor extent and normal tissue anatomy. Moreover, they are able to visualize biological characteristics of the tumor, which can be considered in the radiation treatment planning and monitoring. In this review we discuss the impact of biological imaging positron emission tomography and multiparametric MRI for radiation oncology, based on the data of the literature and on the experience of our own institution in this field.
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Affiliation(s)
- Eleni Gkika
- Department of Radiation Oncology, Medical Center, Faculty of Medicine, University of Freiburg, D-79106, Germany
- German Cancer Consortium (DKTK), Partner Site Freiburg, German Cancer Research Center (DKFZ), Heidelberg, D-69120, Germany
| | - Oliver Oehlke
- Department of Radiation Oncology, Medical Center, Faculty of Medicine, University of Freiburg, D-79106, Germany
- German Cancer Consortium (DKTK), Partner Site Freiburg, German Cancer Research Center (DKFZ), Heidelberg, D-69120, Germany
| | - Hatice Bunea
- Department of Radiation Oncology, Medical Center, Faculty of Medicine, University of Freiburg, D-79106, Germany
- German Cancer Consortium (DKTK), Partner Site Freiburg, German Cancer Research Center (DKFZ), Heidelberg, D-69120, Germany
| | - Nicole Wiedenmann
- Department of Radiation Oncology, Medical Center, Faculty of Medicine, University of Freiburg, D-79106, Germany
- German Cancer Consortium (DKTK), Partner Site Freiburg, German Cancer Research Center (DKFZ), Heidelberg, D-69120, Germany
| | - Sonja Adebahr
- Department of Radiation Oncology, Medical Center, Faculty of Medicine, University of Freiburg, D-79106, Germany
- German Cancer Consortium (DKTK), Partner Site Freiburg, German Cancer Research Center (DKFZ), Heidelberg, D-69120, Germany
| | - Ursula Nestle
- Department of Radiation Oncology, Medical Center, Faculty of Medicine, University of Freiburg, D-79106, Germany
- German Cancer Consortium (DKTK), Partner Site Freiburg, German Cancer Research Center (DKFZ), Heidelberg, D-69120, Germany
| | - Constantinos Zamboglou
- Department of Radiation Oncology, Medical Center, Faculty of Medicine, University of Freiburg, D-79106, Germany
- German Cancer Consortium (DKTK), Partner Site Freiburg, German Cancer Research Center (DKFZ), Heidelberg, D-69120, Germany
| | - Simon Kirste
- Department of Radiation Oncology, Medical Center, Faculty of Medicine, University of Freiburg, D-79106, Germany
- German Cancer Consortium (DKTK), Partner Site Freiburg, German Cancer Research Center (DKFZ), Heidelberg, D-69120, Germany
| | - Jamina Fennell
- Department of Radiation Oncology, Medical Center, Faculty of Medicine, University of Freiburg, D-79106, Germany
- German Cancer Consortium (DKTK), Partner Site Freiburg, German Cancer Research Center (DKFZ), Heidelberg, D-69120, Germany
| | - Thomas Brunner
- Department of Radiation Oncology, Medical Center, Faculty of Medicine, University of Freiburg, D-79106, Germany
- German Cancer Consortium (DKTK), Partner Site Freiburg, German Cancer Research Center (DKFZ), Heidelberg, D-69120, Germany
| | - Mark Gainey
- Department of Radiation Oncology, Medical Center, Faculty of Medicine, University of Freiburg, D-79106, Germany
- German Cancer Consortium (DKTK), Partner Site Freiburg, German Cancer Research Center (DKFZ), Heidelberg, D-69120, Germany
| | - Dimos Baltas
- Department of Radiation Oncology, Medical Center, Faculty of Medicine, University of Freiburg, D-79106, Germany
- German Cancer Consortium (DKTK), Partner Site Freiburg, German Cancer Research Center (DKFZ), Heidelberg, D-69120, Germany
| | - Mathias Langer
- Department of Radiology, Medical Center, Faculty of Medicine, University of Freiburg, D-79106, Germany
| | - Horst Urbach
- Department of Neuroradiology, Medical Center, Faculty of Medicine, University of Freiburg, D-79106, Germany
| | - Michael Bock
- Department of Radiology – Medical Physics, Department of Radiology, Faculty of Medicine, Medical Center, University of Freiburg, D-79106, Germany
| | - Philipp T Meyer
- German Cancer Consortium (DKTK), Partner Site Freiburg, German Cancer Research Center (DKFZ), Heidelberg, D-69120, Germany
- Department of Nuclear Medicine, Medical Center, Faculty of Medicine, University of Freiburg, D-79106, Germany
| | - Anca-Ligia Grosu
- Department of Radiation Oncology, Medical Center, Faculty of Medicine, University of Freiburg, D-79106, Germany
- German Cancer Consortium (DKTK), Partner Site Freiburg, German Cancer Research Center (DKFZ), Heidelberg, D-69120, Germany
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Braun LH, Welz S, Viehrig M, Heinzelmann F, Zips D, Gani C. Resolution of atelectasis during radiochemotherapy of lung cancer with serious implications for further treatment. A case report. Clin Transl Radiat Oncol 2018; 9:1-4. [PMID: 29594243 PMCID: PMC5862676 DOI: 10.1016/j.ctro.2017.12.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2017] [Revised: 12/05/2017] [Accepted: 12/06/2017] [Indexed: 12/25/2022] Open
Abstract
Local failure is a major cause for low overall survival rates in advanced non small cell lung cancer (NSCLC). Among others, radioresistant tumor clones as well as geographical miss can explain these high local failure rates. One reason for geographical miss is a change of tumor related atelectasis in the course of radiotherapy. We present the case of a patient with UICC Stage IIIb NSCLC who presented with a large tumor related atelectasis. During definitive radiochemotherapy, the atelectasis resolved, which resulted in a massive tumor shift out of the planning target volume within 2 days. Without close monitoring by cone beam CTs and prompt replanning, this would have led to a geographical miss and relevant underdosage of the tumor. Furthermore, changes in anatomy and pulmonary function during treatment had implications for organs at risk and opened windows for dose escalation. We suggest at least biweekly CBCTs in patients with poststenotic atelectasis to ensure the rapid detection of geographical changes of the target and subsequent intervention if necessary.
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Affiliation(s)
- Lore Helene Braun
- Department of Radiation Oncology, University Hospital Tübingen, Hoppe-Seyler-Str. 3, 72076 Tübingen, Germany
| | - Stefan Welz
- Department of Radiation Oncology, University Hospital Tübingen, Hoppe-Seyler-Str. 3, 72076 Tübingen, Germany
| | - Marén Viehrig
- Department of Radiation Oncology, University Hospital Tübingen, Hoppe-Seyler-Str. 3, 72076 Tübingen, Germany
| | - Frank Heinzelmann
- Department of Radiation Oncology, University Hospital Tübingen, Hoppe-Seyler-Str. 3, 72076 Tübingen, Germany
| | - Daniel Zips
- Department of Radiation Oncology, University Hospital Tübingen, Hoppe-Seyler-Str. 3, 72076 Tübingen, Germany
| | - Cihan Gani
- Department of Radiation Oncology, University Hospital Tübingen, Hoppe-Seyler-Str. 3, 72076 Tübingen, Germany
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Molecular Imaging Using PET/CT for Radiation Therapy Planning for Adult Cancers: Current Status and Expanding Applications. Int J Radiat Oncol Biol Phys 2018; 102:783-791. [PMID: 30353883 DOI: 10.1016/j.ijrobp.2018.03.013] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2017] [Revised: 02/23/2018] [Accepted: 03/13/2018] [Indexed: 12/25/2022]
Abstract
Accurate tumor delineation is a priority in radiation therapy (RT). Metabolic imaging has a key and evolving role in target volume selection and delineation. This is especially so for non-small cell lung cancer, squamous cell cancer of the head and neck, and lymphoma, for which positron emission tomography/computed tomography (PET/CT) is complimentary to structural imaging modalities, not only in delineating primary tumors, but also often in revealing previously undiagnosed regional nodal disease. At some sites, PET/CT has been confirmed to enable target size reduction compared with structural imaging alone, with enhanced normal tissue sparing and potentially allowing for dose escalation. These contributions often dramatically affect RT strategies. However, some limitations exist to the use of fluorodeoxyglucose-PET in RT planning, including its relatively poor spatial resolution and partial voluming effects for small tumors. A role is developing for contributions from metabolic imaging to RT planning at other tumor sites and exciting new applications for the use of non-fluorodeoxyglucose metabolic markers for RT planning.
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Frood R, Prestwich R, Tsoumpas C, Murray P, Franks K, Scarsbrook A. Effectiveness of Respiratory-gated Positron Emission Tomography/Computed Tomography for Radiotherapy Planning in Patients with Lung Carcinoma - A Systematic Review. Clin Oncol (R Coll Radiol) 2018; 30:225-232. [PMID: 29397271 DOI: 10.1016/j.clon.2018.01.005] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2017] [Revised: 12/21/2017] [Accepted: 12/22/2017] [Indexed: 12/25/2022]
Abstract
AIMS A systematic review of the literature evaluating the clinical use of respiratory-gated (four-dimensional; 4D) fluorine-18 fluorodeoxyglucose positron emission tomography/computed tomography (PET/CT) compared with non-gated (three-dimensional; 3D) PET/CT for radiotherapy planning in lung cancer. MATERIALS AND METHODS A search of MEDLINE, Cochrane, Web of Science, SCOPUS and clinicaltrials.gov databases was undertaken for articles comparing 3D and 4D PET/CT tumour volume or 4D PET/CT for radiotherapy planning. PRISMA guidelines were followed. RESULTS Thirteen studies compared tumour volumes at 3D and 4D PET/CT; eight reported significantly smaller volumes (6.9-44.5%), three reported significantly larger volumes at 4D PET/CT (16-50%), one reported no significant difference and one reported mixed findings. Six studies, including two that reported differences in tumour volumes, compared target volumes or studied geographic misses. 4D PET/CT target volumes were significantly larger (19-40%) when compared with 3D PET/CT in all but one study, where they were smaller (3.8%). One study reported no significance in 4D PET/CT target volumes when compared with 4D CT, whereas another study reported significantly larger volumes (38.7%). CONCLUSION The use of 4D PET/CT leads to differences in target volume delineation compared with 3D PET/CT. These differences vary depending upon technique and the clinical impact currently remains uncertain. Correlation of pretreatment target volumes generated at 3D and 4D PET/CT with postsurgical histology would be ideal but technically challenging. Evaluation of patient outcomes based on 3D versus 4D PET/CT derived treatment volumes warrants further investigation.
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Affiliation(s)
- R Frood
- Department of Nuclear Medicine, Leeds Teaching Hospitals NHS Trust, Leeds, UK.
| | - R Prestwich
- Department of Clinical Oncology, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - C Tsoumpas
- Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK
| | - P Murray
- Department of Clinical Oncology, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - K Franks
- Department of Clinical Oncology, Leeds Teaching Hospitals NHS Trust, Leeds, UK; Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
| | - A Scarsbrook
- Department of Nuclear Medicine, Leeds Teaching Hospitals NHS Trust, Leeds, UK; Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
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Interobserver variability in the delineation of the primary lung cancer and lymph nodes on different four-dimensional computed tomography reconstructions. Radiother Oncol 2018; 126:325-332. [DOI: 10.1016/j.radonc.2017.11.020] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2017] [Revised: 10/31/2017] [Accepted: 11/22/2017] [Indexed: 12/25/2022]
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61
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SEOM-SERAM-SEMNIM guidelines on the use of functional and molecular imaging techniques in advanced non-small-cell lung cancer. Clin Transl Oncol 2017; 20:837-852. [PMID: 29256154 PMCID: PMC5996017 DOI: 10.1007/s12094-017-1795-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2017] [Accepted: 11/04/2017] [Indexed: 12/17/2022]
Abstract
Imaging in oncology is an essential tool for patient management but its potential is being profoundly underutilized. Each of the techniques used in the diagnostic process also conveys functional information that can be relevant in treatment decision-making. New imaging algorithms and techniques enhance our knowledge about the phenotype of the tumor and its potential response to different therapies. Functional imaging can be defined as the one that provides information beyond the purely morphological data, and include all the techniques that make it possible to measure specific physiological functions of the tumor, whereas molecular imaging would include techniques that allow us to measure metabolic changes. Functional and molecular techniques included in this document are based on multi-detector computed tomography (CT), 18F-fluorodeoxyglucose positron emission tomography (18F-FDG PET), magnetic resonance imaging (MRI), and hybrid equipments, integrating PET with CT (PET/CT) or MRI (PET-MRI). Lung cancer is one of the most frequent and deadly tumors although survival is increasing thanks to advances in diagnostic methods and new treatments. This increased survival poises challenges in terms of proper follow-up and definitions of response and progression, as exemplified by immune therapy-related pseudoprogression. In this consensus document, the use of functional and molecular imaging techniques will be addressed to exploit their current potential and explore future applications in the diagnosis, evaluation of response and detection of recurrence of advanced NSCLC.
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Lasnon C, Enilorac B, Popotte H, Aide N. Impact of the EARL harmonization program on automatic delineation of metabolic active tumour volumes (MATVs). EJNMMI Res 2017; 7:30. [PMID: 28361349 PMCID: PMC5374086 DOI: 10.1186/s13550-017-0279-y] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2017] [Accepted: 03/16/2017] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND The clinical validation of the EARL harmonization program for standardised uptake value (SUV) metrics is well documented; however, its potential for defining metabolic active tumour volume (MATV) has not yet been investigated. We aimed to compare delineation of MATV on images reconstructed using conventional ordered subset expectation maximisation (OSEM) with those reconstructed using point spread function modelling (PSF-reconstructed images), and either optimised for diagnostic potential (PSF) or filtered to meet the EANM/EARL harmonising standards (PSF7). METHODS Images from 18 stage IIIA-IIIB lung cancer patients were reconstructed using all the three methods. MATVs were then delineated using both a 40% isocontour and a gradient-based method. MATVs were compared by means of Bland-Altman analyses, and Dice coefficients and concordance indices based on the unions and intersections between each pair of reconstructions (PSF vs OSEM, PSF7 vs PSF and PSF7 vs OSEM). RESULTS Using the 40% isocontour method and taking the MATVs delineated on OSEM images as a reference standard, the use of PSF7 images led to significantly higher Dice coefficients (median value = 0.96 vs 0.77; P < 0.0001) and concordance indices (median value = 0.92 vs 0.64; P < 0.0001) than those obtained using PSF images. The gradient-based methodology was less sensitive to reconstruction variability than the 40% isocontour method; Dice coefficients and concordance indices were superior to 0.8 for both PSF reconstruction methods. However, the use of PSF7 images led to narrower interquartile ranges and significantly higher Dice coefficients (median value = 0.96 vs 0.94; P = 0.01) and concordance indices (median value = 0.89 vs 0.85; P = 0.003) than those obtained with PSF images. CONCLUSION This study demonstrates that automatic contouring of lung tumours on EARL-compliant PSF images using the widely adopted automatic isocontour methodology is an accurate means of overcoming reconstruction variability in MATV delineation. Although gradient-based methodology appears to be less sensitive to reconstruction variability, the use of EARL-compliant PSF images significantly improved the Dice coefficients and concordance indices, demonstrating the importance of harmonised-images, even when more advanced contouring algorithms are used.
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Affiliation(s)
- Charline Lasnon
- Nuclear Medicine Department, François Baclesse Cancer Centre, Caen, France
- INSERM U1086 « ANTICIPE », BioTICLA, François Baclesse Cancer Centre, Caen, France
| | - Blandine Enilorac
- Nuclear Medicine Department, University Hospital, Avenue Côte de Nacre, 14000 Caen, France
| | - Hosni Popotte
- Radiation Oncology, François Baclesse Cancer Centre, Caen, France
| | - Nicolas Aide
- INSERM U1086 « ANTICIPE », BioTICLA, François Baclesse Cancer Centre, Caen, France
- Nuclear Medicine Department, University Hospital, Avenue Côte de Nacre, 14000 Caen, France
- Normandie University, Caen, France
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Bainbridge H, Salem A, Tijssen RHN, Dubec M, Wetscherek A, Van Es C, Belderbos J, Faivre-Finn C, McDonald F. Magnetic resonance imaging in precision radiation therapy for lung cancer. Transl Lung Cancer Res 2017; 6:689-707. [PMID: 29218271 PMCID: PMC5709138 DOI: 10.21037/tlcr.2017.09.02] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2017] [Accepted: 09/08/2017] [Indexed: 12/25/2022]
Abstract
Radiotherapy remains the cornerstone of curative treatment for inoperable locally advanced lung cancer, given concomitantly with platinum-based chemotherapy. With poor overall survival, research efforts continue to explore whether integration of advanced radiation techniques will assist safe treatment intensification with the potential for improving outcomes. One advance is the integration of magnetic resonance imaging (MRI) in the treatment pathway, providing anatomical and functional information with excellent soft tissue contrast without exposure of the patient to radiation. MRI may complement or improve the diagnostic staging accuracy of F-18 fluorodeoxyglucose position emission tomography and computerized tomography imaging, particularly in assessing local tumour invasion and is also effective for identification of nodal and distant metastatic disease. Incorporating anatomical MRI sequences into lung radiotherapy treatment planning is a novel application and may improve target volume and organs at risk delineation reproducibility. Furthermore, functional MRI may facilitate dose painting for heterogeneous target volumes and prediction of normal tissue toxicity to guide adaptive strategies. MRI sequences are rapidly developing and although the issue of intra-thoracic motion has historically hindered the quality of MRI due to the effect of motion, progress is being made in this field. Four-dimensional MRI has the potential to complement or supersede 4D CT and 4D F-18-FDG PET, by providing superior spatial resolution. A number of MR-guided radiotherapy delivery units are now available, combining a radiotherapy delivery machine (linear accelerator or cobalt-60 unit) with MRI at varying magnetic field strengths. This novel hybrid technology is evolving with many technical challenges to overcome. It is anticipated that the clinical benefits of MR-guided radiotherapy will be derived from the ability to adapt treatment on the fly for each fraction and in real-time, using 'beam-on' imaging. The lung tumour site group of the Atlantic MR-Linac consortium is working to generate a challenging MR-guided adaptive workflow for multi-institution treatment intensification trials in this patient group.
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Affiliation(s)
- Hannah Bainbridge
- The Institute of Cancer Research and The Royal Marsden Hospital NHS Foundation Trust, London, UK
| | - Ahmed Salem
- The University of Manchester and The Christie NHS Foundation Trust, Manchester, UK
| | | | - Michael Dubec
- The University of Manchester and The Christie NHS Foundation Trust, Manchester, UK
| | - Andreas Wetscherek
- The Institute of Cancer Research and The Royal Marsden Hospital NHS Foundation Trust, London, UK
| | - Corinne Van Es
- The University Medical Center Utrecht, Utrecht, the Netherlands
| | - Jose Belderbos
- The Netherlands Cancer Institute and The Antoni van Leeuwenhoek Hospital, Amsterdam, the Netherlands
| | - Corinne Faivre-Finn
- The University of Manchester and The Christie NHS Foundation Trust, Manchester, UK
| | - Fiona McDonald
- The Institute of Cancer Research and The Royal Marsden Hospital NHS Foundation Trust, London, UK
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Constanzo J, Wei L, Tseng HH, El Naqa I. Radiomics in precision medicine for lung cancer. Transl Lung Cancer Res 2017; 6:635-647. [PMID: 29218267 PMCID: PMC5709132 DOI: 10.21037/tlcr.2017.09.07] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2017] [Accepted: 09/14/2017] [Indexed: 12/11/2022]
Abstract
With the improvement of external radiotherapy delivery accuracy, such as intensity-modulated and stereotactic body radiation therapy, radiation oncology has recently entered in the era of precision medicine. Despite these precise irradiation modalities, lung cancers remain one of the most aggressive human cancers worldwide, possibly because of diverse genotypic alterations that drive and maintain lung tumorigenesis. It has been long recognized that imaging could aid in the diagnosis, tumor delineation, and monitoring of lung cancer. Moreover, accumulating evidence suggests that imaging information could be further used to tailor treatment type and intensity, as well as predict treatment outcomes in radiotherapy. However, these imaging tasks have been carried out either qualitatively or using simplistic metrics that doesn't take advantage of the full scale of imaging knowledge. Radiomics, which is a recent field of research that aims to provide a more quantitative representation of imaging information relating tumor phenotypes to clinical and genotypic endpoints by embedding extracted image features into predictive mathematical models. These predictive models can be a key component in the clinician decision making and treatment personalization. This review provides an overview of the radiomics application and its methodology for radiation oncology studies in lung cancer.
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Affiliation(s)
- Julie Constanzo
- Université de Strasbourg, CNRS, IPHC UMR 7178, Strasbourg F-67000, France
| | - Lise Wei
- Department of Radiation Oncology, Physics Division, University of Michigan, Ann Arbor, MI 48103, USA
| | - Huan-Hsin Tseng
- Department of Radiation Oncology, Physics Division, University of Michigan, Ann Arbor, MI 48103, USA
| | - Issam El Naqa
- Department of Radiation Oncology, Physics Division, University of Michigan, Ann Arbor, MI 48103, USA
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MacManus M, Everitt S, Schimek-Jasch T, Li XA, Nestle U, Kong FMS. Anatomic, functional and molecular imaging in lung cancer precision radiation therapy: treatment response assessment and radiation therapy personalization. Transl Lung Cancer Res 2017; 6:670-688. [PMID: 29218270 DOI: 10.21037/tlcr.2017.09.05] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
This article reviews key imaging modalities for lung cancer patients treated with radiation therapy (RT) and considers their actual or potential contributions to critical decision-making. An international group of researchers with expertise in imaging in lung cancer patients treated with RT considered the relevant literature on modalities, including computed tomography (CT), magnetic resonance imaging (MRI) and positron emission tomography (PET). These perspectives were coordinated to summarize the current status of imaging in lung cancer and flag developments with future implications. Although there are no useful randomized trials of different imaging modalities in lung cancer, multiple prospective studies indicate that management decisions are frequently impacted by the use of complementary imaging modalities, leading both to more appropriate treatments and better outcomes. This is especially true of 18F-fluoro-deoxyglucose (FDG)-PET/CT which is widely accepted to be the standard imaging modality for staging of lung cancer patients, for selection for potentially curative RT and for treatment planning. PET is also more accurate than CT for predicting survival after RT. PET imaging during RT is also correlated with survival and makes response-adapted therapies possible. PET tracers other than FDG have potential for imaging important biological process in tumors, including hypoxia and proliferation. MRI has superior accuracy in soft tissue imaging and the MRI Linac is a rapidly developing technology with great potential for online monitoring and modification of treatment. The role of imaging in RT-treated lung cancer patients is evolving rapidly and will allow increasing personalization of therapy according to the biology of both the tumor and dose limiting normal tissues.
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Affiliation(s)
- Michael MacManus
- Department of Radiation Oncology, Division of Radiation Oncology and Cancer Imaging, Peter MacCallum Cancer Centre, Melbourne, Australia.,The Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Australia
| | - Sarah Everitt
- Department of Radiation Oncology, Division of Radiation Oncology and Cancer Imaging, Peter MacCallum Cancer Centre, Melbourne, Australia.,The Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Australia
| | - Tanja Schimek-Jasch
- Department of Radiation Oncology, Medical Center, Faculty of Medicine, University of Freiburg, German Cancer Consortium (DKTK) Partner Site Freiburg, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - X Allen Li
- Department of Radiation Oncology, Medical College of Wisconsin, WI, USA
| | - Ursula Nestle
- Department of Radiation Oncology, Medical Center, Faculty of Medicine, University of Freiburg, German Cancer Consortium (DKTK) Partner Site Freiburg, German Cancer Research Center (DKFZ), Heidelberg, Germany.,Department of Radiation Oncology, Kliniken Maria Hilf, Moenchengladbach, Germany
| | - Feng-Ming Spring Kong
- Indiana University Simon Cancer Center, Indiana University School of Medicine, Indianapolis, IN, USA
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Thomas HM, Kinahan PE, Samuel JJE, Bowen SR. Impact of tumour motion compensation and delineation methods on FDG PET-based dose painting plan quality for NSCLC radiation therapy. J Med Imaging Radiat Oncol 2017; 62:81-90. [PMID: 29193781 DOI: 10.1111/1754-9485.12693] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2017] [Accepted: 10/18/2017] [Indexed: 12/25/2022]
Abstract
INTRODUCTION To quantitatively estimate the impact of different methods for both boost volume delineation and respiratory motion compensation of [18F] FDG PET/CT images on the fidelity of planned non-uniform 'dose painting' plans to the prescribed boost dose distribution. METHODS Six locally advanced non-small cell lung cancer (NSCLC) patients were retrospectively reviewed. To assess the impact of respiratory motion, time-averaged (3D AVG), respiratory phase-gated (4D GATED) and motion-encompassing (4D MIP) PET images were used. The boost volumes were defined using manual contour (MANUAL), fixed threshold (FIXED) and gradient search algorithm (GRADIENT). The dose painting prescription of 60 Gy base dose to the planning target volume and an integral dose of 14 Gy (total 74 Gy) was discretized into seven treatment planning substructures and linearly redistributed according to the relative SUV at every voxel in the boost volume. Fifty-four dose painting plan combinations were generated and conformity was evaluated using quality index VQ0.95-1.05, which represents the sum of planned dose voxels within 5% deviation from the prescribed dose. Trends in plan quality and magnitude of achievable dose escalation were recorded. RESULTS Different segmentation techniques produced statistically significant variations in maximum planned dose (P < 0.02), as well as plan quality between segmentation methods for 4D GATED and 4D MIP PET images (P < 0.05). No statistically significant differences in plan quality and maximum dose were observed between motion-compensated PET-based plans (P > 0.75). Low variability in plan quality was observed for FIXED threshold plans, while MANUAL and GRADIENT plans achieved higher dose with lower plan quality indices. CONCLUSIONS The dose painting plans were more sensitive to segmentation of boost volumes than PET motion compensation in this study sample. Careful consideration of boost target delineation and motion compensation strategies should guide the design of NSCLC dose painting trials.
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Affiliation(s)
- Hannah Mary Thomas
- Department of Radiation Oncology, School of Medicine, University of Washington, Seattle, Washington, USA.,Department of Physics, School of Advanced Sciences, VIT University, Vellore, India
| | - Paul E Kinahan
- Department of Radiology, School of Medicine, University of Washington, Seattle, Washington, USA
| | | | - Stephen R Bowen
- Department of Radiation Oncology, School of Medicine, University of Washington, Seattle, Washington, USA.,Department of Radiology, School of Medicine, University of Washington, Seattle, Washington, USA
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Medical physics in radiation Oncology: New challenges, needs and roles. Radiother Oncol 2017; 125:375-378. [PMID: 29150160 DOI: 10.1016/j.radonc.2017.10.035] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2017] [Accepted: 10/30/2017] [Indexed: 12/21/2022]
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Cremonesi M, Garibaldi C, Timmerman R, Ferrari M, Ronchi S, Grana CM, Travaini L, Gilardi L, Starzyńska A, Ciardo D, Orecchia R, Jereczek-Fossa BA, Leonardi MC. Interim 18F-FDG-PET/CT during chemo-radiotherapy in the management of oesophageal cancer patients. A systematic review. Radiother Oncol 2017; 125:200-212. [PMID: 29029833 DOI: 10.1016/j.radonc.2017.09.022] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2017] [Revised: 09/07/2017] [Accepted: 09/19/2017] [Indexed: 12/25/2022]
Abstract
Oesophageal cancer is an aggressive disease. The possibility to early stratify patients as responsive and non-responsive with a non-invasive method is extremely appealing. The uptake of Fluorodeoxyglucose (18F-FDG) in tumours, provided by positron emission tomography (PET) images, has been proved to be useful to assess the initial staging of the disease, recurrence, and response to chemotherapy and chemo-radiotherapy (CRT). In the last years, efforts have been focused on the possibility to use ad interim 18F-FDG-PET/CT (PETint) to evaluate response during radiation therapy. However, controversial findings have been reported, although some relevant results would support its use for individual therapeutic decision. The present review assembles the comprehensive literature of the last decade to evaluate whether and in which cases PETint may offer predictive potential in oesophageal cancer. All the analysed studies (13 studies, 697 patients) denoted PETint as a challenging examination for early assessment of outcomes during CRT. In particular, 8 studies advocated the predictivity of PETint, whilst 5 did not find any correlation between the interim variation of PET parameters and the pathological complete response and/or the clinical outcome. The reasons that possibly have caused contradictions among the studies demand further research with prospective and uniform protocols and methods of analysis to assess the predictive and prognostic value of PETint in oesophageal cancer.
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Affiliation(s)
- Marta Cremonesi
- Radiation Research Unit, European Institute of Oncology, Milan, Italy
| | | | - Robert Timmerman
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, USA
| | - Mahila Ferrari
- Medical Physics Unit, European Institute of Oncology, Milan, Italy
| | - Sara Ronchi
- Division of Radiation Oncology, European Institute of Oncology, Milan, Italy
| | - Chiara Maria Grana
- Division of Nuclear Medicine, European Institute of Oncology, Milan, Italy
| | - Laura Travaini
- Division of Nuclear Medicine, European Institute of Oncology, Milan, Italy
| | - Laura Gilardi
- Division of Nuclear Medicine, European Institute of Oncology, Milan, Italy
| | - Anna Starzyńska
- Department of Oral Surgery, Medical University of Gdańsk, Poland
| | - Delia Ciardo
- Division of Radiation Oncology, European Institute of Oncology, Milan, Italy
| | - Roberto Orecchia
- Department of Medical Imaging and Radiation Sciences, European Institute of Oncology, Milan, Italy; Department of Oncology and Hemato-Oncology, University of Milan, Italy
| | - Barbara Alicja Jereczek-Fossa
- Division of Radiation Oncology, European Institute of Oncology, Milan, Italy; Department of Oncology and Hemato-Oncology, University of Milan, Italy
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Freedman JN, Collins DJ, Bainbridge H, Rank CM, Nill S, Kachelrieß M, Oelfke U, Leach MO, Wetscherek A. T2-Weighted 4D Magnetic Resonance Imaging for Application in Magnetic Resonance-Guided Radiotherapy Treatment Planning. Invest Radiol 2017; 52:563-573. [PMID: 28459800 PMCID: PMC5581953 DOI: 10.1097/rli.0000000000000381] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2017] [Accepted: 03/20/2017] [Indexed: 12/13/2022]
Abstract
OBJECTIVES The aim of this study was to develop and verify a method to obtain good temporal resolution T2-weighted 4-dimensional (4D-T2w) magnetic resonance imaging (MRI) by using motion information from T1-weighted 4D (4D-T1w) MRI, to support treatment planning in MR-guided radiotherapy. MATERIALS AND METHODS Ten patients with primary non-small cell lung cancer were scanned at 1.5 T axially with a volumetric T2-weighted turbo spin echo sequence gated to exhalation and a volumetric T1-weighted stack-of-stars spoiled gradient echo sequence with golden angle spacing acquired in free breathing. From the latter, 20 respiratory phases were reconstructed using the recently developed 4D joint MoCo-HDTV algorithm based on the self-gating signal obtained from the k-space center. Motion vector fields describing the respiratory cycle were obtained by deformable image registration between the respiratory phases and projected onto the T2-weighted image volume. The resulting 4D-T2w volumes were verified against the 4D-T1w volumes: an edge-detection method was used to measure the diaphragm positions; the locations of anatomical landmarks delineated by a radiation oncologist were compared and normalized mutual information was calculated to evaluate volumetric image similarity. RESULTS High-resolution 4D-T2w MRI was obtained. Respiratory motion was preserved on calculated 4D-T2w MRI, with median diaphragm positions being consistent with less than 6.6 mm (2 voxels) for all patients and less than 3.3 mm (1 voxel) for 9 of 10 patients. Geometrical positions were coherent between 4D-T1w and 4D-T2w MRI as Euclidean distances between all corresponding anatomical landmarks agreed to within 7.6 mm (Euclidean distance of 2 voxels) and were below 3.8 mm (Euclidean distance of 1 voxel) for 355 of 470 pairs of anatomical landmarks. Volumetric image similarity was commensurate between 4D-T1w and 4D-T2w MRI, as mean percentage differences in normalized mutual information (calculated over all respiratory phases and patients), between corresponding respiratory phases of 4D-T1w and 4D-T2w MRI and the tie-phase of 4D-T1w and 3-dimensional T2w MRI, were consistent to 0.41% ± 0.37%. Four-dimensional T2w MRI displayed tumor extent, structure, and position more clearly than corresponding 4D-T1w MRI, especially when mobile tumor sites were adjacent to organs at risk. CONCLUSIONS A methodology to obtain 4D-T2w MRI that retrospectively applies the motion information from 4D-T1w MRI to 3-dimensional T2w MRI was developed and verified. Four-dimensional T2w MRI can assist clinicians in delineating mobile lesions that are difficult to define on 4D-T1w MRI, because of poor tumor-tissue contrast.
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Affiliation(s)
- Joshua N. Freedman
- From the *Joint Department of Physics, †CR UK Cancer Imaging Centre, and ‡Joint Department of Radiotherapy, The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, London, United Kingdom; and §Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - David J. Collins
- From the *Joint Department of Physics, †CR UK Cancer Imaging Centre, and ‡Joint Department of Radiotherapy, The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, London, United Kingdom; and §Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Hannah Bainbridge
- From the *Joint Department of Physics, †CR UK Cancer Imaging Centre, and ‡Joint Department of Radiotherapy, The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, London, United Kingdom; and §Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Christopher M. Rank
- From the *Joint Department of Physics, †CR UK Cancer Imaging Centre, and ‡Joint Department of Radiotherapy, The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, London, United Kingdom; and §Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Simeon Nill
- From the *Joint Department of Physics, †CR UK Cancer Imaging Centre, and ‡Joint Department of Radiotherapy, The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, London, United Kingdom; and §Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Marc Kachelrieß
- From the *Joint Department of Physics, †CR UK Cancer Imaging Centre, and ‡Joint Department of Radiotherapy, The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, London, United Kingdom; and §Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Uwe Oelfke
- From the *Joint Department of Physics, †CR UK Cancer Imaging Centre, and ‡Joint Department of Radiotherapy, The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, London, United Kingdom; and §Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Martin O. Leach
- From the *Joint Department of Physics, †CR UK Cancer Imaging Centre, and ‡Joint Department of Radiotherapy, The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, London, United Kingdom; and §Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Andreas Wetscherek
- From the *Joint Department of Physics, †CR UK Cancer Imaging Centre, and ‡Joint Department of Radiotherapy, The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, London, United Kingdom; and §Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
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Gensheimer MF, Hong JC, Chang-Halpenny C, Zhu H, Eclov NCW, To J, Murphy JD, Wakelee HA, Neal JW, Le QT, Hara WY, Quon A, Maxim PG, Graves EE, Olson MR, Diehn M, Loo BW. Mid-radiotherapy PET/CT for prognostication and detection of early progression in patients with stage III non-small cell lung cancer. Radiother Oncol 2017; 125:338-343. [PMID: 28830717 DOI: 10.1016/j.radonc.2017.08.007] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2016] [Revised: 05/22/2017] [Accepted: 08/05/2017] [Indexed: 12/25/2022]
Abstract
BACKGROUND AND PURPOSE Pre- and mid-radiotherapy FDG-PET metrics have been proposed as biomarkers of recurrence and survival in patients treated for stage III non-small cell lung cancer. We evaluated these metrics in patients treated with definitive radiation therapy (RT). We also evaluated outcomes after progression on mid-radiotherapy PET/CT. MATERIAL AND METHODS Seventy-seven patients treated with RT with or without chemotherapy were included in this retrospective study. Primary tumor and involved nodes were delineated. PET metrics included metabolic tumor volume (MTV), total lesion glycolysis (TLG), and SUVmax. For mid-radiotherapy PET, both absolute value of these metrics and percentage decrease were analyzed. The influence of PET metrics on time to death, local recurrence, and regional/distant recurrence was assessed using Cox regression. RESULTS 91% of patients had concurrent chemotherapy. Median follow-up was 14months. None of the PET metrics were associated with overall survival. Several were positively associated with local recurrence: pre-radiotherapy MTV, and mid-radiotherapy MTV and TLG (p=0.03-0.05). Ratio of mid- to pre-treatment SUVmax was associated with regional/distant recurrence (p=0.02). 5/77 mid-radiotherapy scans showed early out-of-field progression. All of these patients died. CONCLUSIONS Several PET metrics were associated with risk of recurrence. Progression on mid-radiotherapy PET/CT was a poor prognostic factor.
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Affiliation(s)
- Michael F Gensheimer
- Department of Radiation Oncology, Stanford University, USA; Stanford Cancer Institute, Stanford University School of Medicine, USA.
| | - Julian C Hong
- Department of Radiation Oncology, Stanford University, USA; Department of Radiation Oncology, Duke University, Durham, USA
| | - Christine Chang-Halpenny
- Department of Radiation Oncology, Stanford University, USA; Department of Radiation Oncology, cCARE, Fresno, USA
| | - Hui Zhu
- Department of Radiation Oncology, Stanford University, USA; Department of Radiation Oncology, Shandong Cancer Hospital Affiliated to Shandong University, Jinan, China
| | - Neville C W Eclov
- Department of Radiation Oncology, Stanford University, USA; University of Chicago, USA
| | - Jacqueline To
- Department of Radiation Oncology, Stanford University, USA; University of Colorado, USA
| | - James D Murphy
- Department of Radiation Oncology, Stanford University, USA; Department of Radiation Medicine and Applied Sciences, University of California San Diego, USA
| | - Heather A Wakelee
- Stanford Cancer Institute, Stanford University School of Medicine, USA; Department of Medicine, Division of Oncology, Stanford University, USA
| | - Joel W Neal
- Stanford Cancer Institute, Stanford University School of Medicine, USA; Department of Medicine, Division of Oncology, Stanford University, USA
| | - Quynh-Thu Le
- Department of Radiation Oncology, Stanford University, USA; Stanford Cancer Institute, Stanford University School of Medicine, USA
| | - Wendy Y Hara
- Department of Radiation Oncology, Stanford University, USA; Stanford Cancer Institute, Stanford University School of Medicine, USA
| | - Andrew Quon
- Department of Nuclear Medicine, University of California Los Angeles, USA
| | - Peter G Maxim
- Department of Radiation Oncology, Stanford University, USA; Stanford Cancer Institute, Stanford University School of Medicine, USA
| | - Edward E Graves
- Department of Radiation Oncology, Stanford University, USA; Stanford Cancer Institute, Stanford University School of Medicine, USA
| | - Michael R Olson
- Department of Radiation Oncology, Stanford University, USA; Florida Radiation Oncology Group, Baptist Medical Center, Jacksonville, USA
| | - Maximilian Diehn
- Department of Radiation Oncology, Stanford University, USA; Stanford Cancer Institute, Stanford University School of Medicine, USA; Institute for Stem Cell Biology and Regenerative Medicine, Stanford University, USA.
| | - Billy W Loo
- Department of Radiation Oncology, Stanford University, USA; Stanford Cancer Institute, Stanford University School of Medicine, USA.
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Quantification: there is more to worry about than good scanner hardware and reliable calibration. Eur J Nucl Med Mol Imaging 2017; 44:1955-1957. [DOI: 10.1007/s00259-017-3808-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
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Everitt S, Ball D, Hicks RJ, Callahan J, Plumridge N, Trinh J, Herschtal A, Kron T, Mac Manus M. Prospective Study of Serial Imaging Comparing Fluorodeoxyglucose Positron Emission Tomography (PET) and Fluorothymidine PET During Radical Chemoradiation for Non-Small Cell Lung Cancer: Reduction of Detectable Proliferation Associated With Worse Survival. Int J Radiat Oncol Biol Phys 2017; 99:947-955. [PMID: 29063854 DOI: 10.1016/j.ijrobp.2017.07.035] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2017] [Revised: 07/19/2017] [Accepted: 07/24/2017] [Indexed: 12/25/2022]
Abstract
PURPOSE To investigate the associations between interim tumor responses on 18F-fluorodeoxyglucose (18F-FDG) positron emission tomography (PET) and 18F-fluorothymidine (18F-FLT) PET and patient outcomes, especially progression-free survival (PFS) and overall survival (OS), in non-small cell lung cancer (NSCLC) patients. METHODS AND MATERIALS Patients with FDG-PET/computed tomography stage I-III NSCLC were prescribed concurrent chemotherapy and radiation therapy (60 Gy in 30 fractions). Scans were acquired at baseline (FDG-PET/computed tomography [FDGBL] for radiation therapy planning and FLT-PET [FLTBL]), week 2 (FDGwk2 and FLTwk2), and week 4 (FDGwk4 and FLTwk4) of chemoradiation therapy. Tumor responses were categorized as complete or partial responses or stable or progressive disease (SD, PD) using European Organization for Research and Treatment of Cancer criteria. Associations between response, OS, and PFS were analyzed with univariate Cox regressions and plotted using Kaplan-Meier curves. RESULTS Between 2009 and 2013, 60 patients were recruited. Thirty-seven (62%) were male, and the median age was 66 years (range, 31-86 years). Two-year OS and PFS were 0.51 and 0.26, respectively. Unexpectedly, SD on FLTwk2 compared with complete response/partial response was associated with longer OS (hazard ratio [95% confidence interval] 2.01 [0.87-4.65], P=.082) and PFS (2.01 [0.92-4.36], P=.061). Weeks 2 and 4 FDG PET/CT were not significantly associated with survival. Study scans provided additional information to FDGBL in 21 patients (35%). Distant metastases detected in 3 patients on FLTBL and in 2 patients on FDG/FLTwk2 changed treatment intent from curative to palliative. Locoregional progression during radiation therapy was observed in 5 (8%) patients, prompting larger radiation therapy fields. CONCLUSIONS Stable uptake of 18F-FLT at week 2 was paradoxically associated with longer OS and PFS. This suggests that suppression of tumor cell proliferation may protect against radiation-induced tumor cell killing. Baseline FLT, FLTwk2, and FDGwk2 detected rapid distant and locoregional progression in 10 patients (17%), prompting changes in management.
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Affiliation(s)
- Sarah Everitt
- Radiation Therapy Services, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia; Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Australia; Department of Medical Imaging and Radiation Sciences, Faculty of Medicine, Nursing & Health Sciences, Monash University, Clayton, Victoria, Australia.
| | - David Ball
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Australia; Division of Radiation Oncology, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Rodney J Hicks
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Australia; Centre for Cancer Imaging, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Jason Callahan
- Department of Medical Imaging and Radiation Sciences, Faculty of Medicine, Nursing & Health Sciences, Monash University, Clayton, Victoria, Australia; Centre for Cancer Imaging, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Nikki Plumridge
- Division of Radiation Oncology, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Jenny Trinh
- Division of Radiation Oncology, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Alan Herschtal
- Centre for Biostatistics and Clinical Trials, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Tomas Kron
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Australia; Department of Medical Imaging and Radiation Sciences, Faculty of Medicine, Nursing & Health Sciences, Monash University, Clayton, Victoria, Australia; Department of Physical Sciences, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Michael Mac Manus
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Australia; Division of Radiation Oncology, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
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Cremonesi M, Gilardi L, Ferrari ME, Piperno G, Travaini LL, Timmerman R, Botta F, Baroni G, Grana CM, Ronchi S, Ciardo D, Jereczek-Fossa BA, Garibaldi C, Orecchia R. Role of interim 18F-FDG-PET/CT for the early prediction of clinical outcomes of Non-Small Cell Lung Cancer (NSCLC) during radiotherapy or chemo-radiotherapy. A systematic review. Eur J Nucl Med Mol Imaging 2017; 44:1915-1927. [PMID: 28681192 DOI: 10.1007/s00259-017-3762-9] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2017] [Accepted: 06/14/2017] [Indexed: 12/25/2022]
Abstract
BACKGROUND Non-Small Cell Lung Cancer (NSCLC) is characterized by aggressiveness and includes the majority of thorax malignancies. The possibility of early stratification of patients as responsive and non-responsive to radiotherapy with a non-invasive method is extremely appealing. The distribution of the Fluorodeoxyglucose (18F-FDG) in tumours, provided by Positron-Emission-Tomography (PET) images, has been proved to be useful to assess the initial staging of the disease, recurrence, and response to chemotherapy and chemo-radiotherapy (CRT). OBJECTIVES In the last years, particular efforts have been focused on the possibility of using ad interim 18F-FDG PET (FDGint) to evaluate response already in the course of radiotherapy. However, controversial findings have been reported for various malignancies, although several results would support the use of FDGint for individual therapeutic decisions, at least in some pathologies. The objective of the present review is to assemble comprehensively the literature concerning NSCLC, to evaluate where and whether FDGint may offer predictive potential. METHODS Several searches were completed on Medline and the Embase database, combining different keywords. Original papers published in the English language from 2005 to 2016 with studies involving FDGint in patients affected by NSCLC and treated with radiation therapy or chemo-radiotherapy only were chosen. RESULTS Twenty-one studies out of 970 in Pubmed and 1256 in Embase were selected, reporting on 627 patients. CONCLUSION Certainly, the lack of univocal PET parameters was identified as a major drawback, while standardization would be required for best practice. In any case, all these papers denoted FDGint as promising and a challenging examination for early assessment of outcomes during CRT, sustaining its predictivity in lung cancer.
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Affiliation(s)
- Marta Cremonesi
- Radiation Research Unit, European Institute of Oncology, Milano, Italy.
| | - Laura Gilardi
- Division of Nuclear Medicine, European Institute of Oncology, Milano, Italy
| | | | - Gaia Piperno
- Division of Radiation Oncology, European Institute of Oncology, Milano, Italy
| | | | - Robert Timmerman
- Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Francesca Botta
- Medical Physics Unit, European Institute of Oncology, Milano, Italy
| | - Guido Baroni
- Department of Electronics, Information and Bioengineering, Politecnico di Milano University, Milano, Italy
| | - Chiara Maria Grana
- Division of Nuclear Medicine, European Institute of Oncology, Milano, Italy
| | - Sara Ronchi
- Division of Radiation Oncology, European Institute of Oncology, Milano, Italy
| | - Delia Ciardo
- Division of Radiation Oncology, European Institute of Oncology, Milano, Italy
| | - Barbara Alicja Jereczek-Fossa
- Division of Radiation Oncology, European Institute of Oncology, Milano, Italy.,Department of Oncology and Hemato-Oncology, University of Milan, Milano, Italy
| | | | - Roberto Orecchia
- Department of Oncology and Hemato-Oncology, University of Milan, Milano, Italy.,Department of Medical Imaging and Radiation Sciences, European Institute of Oncology, Milano, Italy
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74
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Everitt S, Callahan J, Obeid E, Hicks RJ, Mac Manus M, Ball D. Acute radiation oesophagitis associated with 2-deoxy-2-[18F]fluoro-d-glucose uptake on positron emission tomography/CT during chemo-radiation therapy in patients with non-small-cell lung cancer. J Med Imaging Radiat Oncol 2017; 61:682-688. [PMID: 28608503 DOI: 10.1111/1754-9485.12631] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2016] [Accepted: 04/22/2017] [Indexed: 12/25/2022]
Abstract
INTRODUCTION Acute radiation oesophagitis (ARO) is frequently experienced by patients receiving concurrent chemo-radiation therapy (cCRT) for non-small-cell lung cancer (NSCLC). We investigated ARO symptoms (CTCAE v3.0), radiation dose and oesophageal FDG PET/CT uptake. METHOD Candidates received cCRT (60 Gy, 2 Gy/fx) and sequential FDG PET/CT (baseline FDG0 , FDGwk2 and FDGwk4 ). Mean and maximum standardized uptake value (SUVmean and SUVmax) and radiation dose (Omean and Omax ) were calculated within the whole oesophagus and seven sub-regions (5-60 Gy). RESULTS Forty-four patients underwent FDG0 and FDGwk2 , and 41 (93%) received FDGwk4 , resulting in 129 PET/CT scans for analysis. Of 29 (66%) patients with ≥ grade 2 ARO, SUVmax (mean ± SD) increased from FDG0 to FDGwk4 (3.06 ± 0.69 to 3.83 ± 1.27, P = 0.0019) and FDGwk2 to FDGwk4 (3.10 ± 0.75 to 3.83 ± 1.27, P = 0.0046). Radiation dose (mean ± SD) was higher in grade ≥2 patients; Omean (47.5 ± 20 vs 53.9 ± 10.2, P = 0.0061), Omax (13.7 ± 9.6 vs 20.1 ± 10.6, P = 0.0009) and V40 Gy (8.0 ± 8.2 vs 11.9 ± 7.3, P = 0.0185). CONCLUSIONS FDGwk4 SUVmax and radiation dose were associated with ≥ grade 2 ARO. Compared to subjective assessments, future interim FDG PET/CT acquired for disease response assessment may also be utilized to objectively characterize ARO severity and image-guided oesophageal dose constraints.
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Affiliation(s)
- Sarah Everitt
- Division of Radiation Oncology, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.,Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Victoria, Australia.,Department of Medical Imaging & Radiation Sciences, Faculty of Medicine, Nursing & Health Sciences, Monash University, Clayton, Victoria, Australia
| | - Jason Callahan
- Department of Medical Imaging & Radiation Sciences, Faculty of Medicine, Nursing & Health Sciences, Monash University, Clayton, Victoria, Australia.,Centre for Cancer Imaging, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Eman Obeid
- Division of Radiation Oncology, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Rodney J Hicks
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Victoria, Australia.,Centre for Cancer Imaging, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Michael Mac Manus
- Division of Radiation Oncology, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.,Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Victoria, Australia
| | - David Ball
- Division of Radiation Oncology, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.,Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Victoria, Australia
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Positron emission tomography and computed tomographic imaging (PET/CT) for dose planning purposes of thoracic radiation with curative intent in lung cancer patients: A systematic review and meta-analysis. Radiother Oncol 2017; 123:71-77. [DOI: 10.1016/j.radonc.2017.02.011] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2016] [Revised: 02/07/2017] [Accepted: 02/20/2017] [Indexed: 12/25/2022]
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76
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Hasse K, Neylon J, Santhanam AP. Feasibility and quantitative analysis of a biomechanical model-guided lung elastography for radiotherapy. Biomed Phys Eng Express 2017. [DOI: 10.1088/2057-1976/aa5d1c] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
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77
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Nielsen MS, Carl J. Validating PET segmentation of thoracic lesions—is 4D PET necessary? Biomed Phys Eng Express 2017. [DOI: 10.1088/2057-1976/aa5ba9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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78
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T Thomas HM, Devakumar D, Sasidharan B, Bowen SR, Heck DK, James Jebaseelan Samuel E. Hybrid positron emission tomography segmentation of heterogeneous lung tumors using 3D Slicer: improved GrowCut algorithm with threshold initialization. J Med Imaging (Bellingham) 2017; 4:011009. [PMID: 28149920 DOI: 10.1117/1.jmi.4.1.011009] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2016] [Accepted: 12/20/2016] [Indexed: 12/25/2022] Open
Abstract
This paper presents an improved GrowCut (IGC), a positron emission tomography-based segmentation algorithm, and tests its clinical applicability. Contrary to the traditional method that requires the user to provide the initial seeds, the IGC algorithm starts with a threshold-based estimate of the tumor and a three-dimensional morphologically grown shell around the tumor as the foreground and background seeds, respectively. The repeatability of IGC from the same observer at multiple time points was compared with the traditional GrowCut algorithm. The algorithm was tested in 11 nonsmall cell lung cancer lesions and validated against the clinician-defined manual contour and compared against the clinically used 25% of the maximum standardized uptake value [SUV-(max)], 40% [Formula: see text], and adaptive threshold methods. The time to edit IGC-defined functional volume to arrive at the gross tumor volume (GTV) was compared with that of manual contouring. The repeatability of the IGC algorithm was very high compared with the traditional GrowCut ([Formula: see text]) and demonstrated higher agreement with the manual contour with respect to threshold-based methods. Compared with manual contouring, editing the IGC achieved the GTV in significantly less time ([Formula: see text]). The IGC algorithm offers a highly repeatable functional volume and serves as an effective initial guess that can well minimize the time spent on labor-intensive manual contouring.
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Affiliation(s)
- Hannah Mary T Thomas
- VIT University , School of Advanced Sciences, Department of Physics, Vellore, Tamil Nadu 632004, India
| | - Devadhas Devakumar
- Christian Medical College , Department of Nuclear Medicine, Vellore, Tamil Nadu 632004, India
| | - Balukrishna Sasidharan
- Christian Medical College , Department of Radiation Oncology, Vellore, Tamil Nadu 632004, India
| | - Stephen R Bowen
- University of Washington , School of Medicine, Departments of Radiology and Radiation Oncology, Seattle, Washington 98195, United States
| | - Danie Kingslin Heck
- Christian Medical College , Department of Nuclear Medicine, Vellore, Tamil Nadu 632004, India
| | - E James Jebaseelan Samuel
- VIT University , School of Advanced Sciences, Department of Physics, Vellore, Tamil Nadu 632004, India
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Qi S, Zhongyi Y, Yingjian Z, Chaosu H. 18F-FLT and 18F-FDG PET/CT in Predicting Response to Chemoradiotherapy in Nasopharyngeal Carcinoma: Preliminary Results. Sci Rep 2017; 7:40552. [PMID: 28091565 PMCID: PMC5238364 DOI: 10.1038/srep40552] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2016] [Accepted: 12/07/2016] [Indexed: 12/25/2022] Open
Abstract
The purpose of this study was to explore the feasibility of 18F-Fluorothymidine (18F-FLT) and 18F-Fluorodeoxyglucose (18F-FDG) positron emission tomography/computed tomography (PET/CT) in predicting treatment response of nasopharyngeal carcinoma (NPC). Patients with NPC of Stage II-IVB were prospectively enrolled, receiving 2 cycles of neoadjuvant chemotherapy (NACT), followed by concurrent chemoradiotherapy. Each patient underwent pretreatment and post-NACT FLT PET/CT and FDG PET/CT. Standard uptake values (SUV) and tumor volume were measured. Tumor response to NACT was evaluated before radiotherapy by MRI (magnetic resonance imaging), and tumor regression at the end of radiotherapy was evaluated at 55 Gy, according to RECIST 1.1 Criteria. Finally, 20 patients were consecutively enrolled. At the end of radiotherapy, 7 patients reached complete regression while others were partial regression. After 2 cycles of NACT both FLT and FDG parameters declined remarkably. Parameters of FDG PET were more strongly correlated to tumor regression than those of FLT PET.70% SUVmax was the best threshold to define contouring margin around the target. Some residual lesions after NACT showed by MRI were negative in PET/CT. Preliminary results showed both 18F-FDG and 18F-FLT PET have the potential to monitor and predict tumor regression.
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Affiliation(s)
- Shi Qi
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
| | - Yang Zhongyi
- Department of Nuclear Medicine, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University; Center for Biomedical Imaging, Fudan University; Shanghai Engineering Research Center for Molecular Imaging Probes, Shanghai 200032, China
| | - Zhang Yingjian
- Department of Nuclear Medicine, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University; Center for Biomedical Imaging, Fudan University; Shanghai Engineering Research Center for Molecular Imaging Probes, Shanghai 200032, China
| | - Hu Chaosu
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
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Cui Y, Bowsher J, Cai J, Yin FF. Impact of moving target on measurement accuracy in 3D and 4D PET imaging-a phantom study. Adv Radiat Oncol 2016; 2:94-100. [PMID: 28740918 PMCID: PMC5514228 DOI: 10.1016/j.adro.2016.12.002] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2016] [Revised: 11/28/2016] [Accepted: 12/02/2016] [Indexed: 12/25/2022] Open
Abstract
PURPOSE The purpose of this study was to evaluate the impact of tumor motion on maximum standardized uptake value (SUVmax) and metabolic tumor volume (MTV) measurements in both 3-dimensional and respiratory-correlated, 4-dimensional positron emission tomography (PET) imaging. We also evaluated the effect of implementing different attenuation correction methods in 4-dimensional PET image reconstruction on SUVmax and MTV. METHODS AND MATERIALS An anthropomorphic thorax phantom with a spherical ball as a surrogate for a tumor was used. Different types of motion were imposed on the ball to mimic a patient's breathing motion. Three-dimensional PET imaging of the phantom without tumor motion was performed and used as the reference. The ball was then set in motion with different breathing motion traces and imaged with both 3- and 4-dimensional PET methods. The clinical 4-dimensional PET imaging protocol was modified so that 3 different types of attenuation correction images were used for reconstructions: the same free-breathing computed tomography (CT) for all PET phases, the same average intensity projection CT for all PET phases, and 4-dimensional CT for phase-matched attenuation correction. Tumor SUVmax and MTV values that were measured from the moving phantom were compared with the reference values. RESULTS SUVmax that was measured in 3-dimensional PET imaging was different from the reference value by 20.4% on average for the motions that were investigated; this difference decreased to 2.6% with 4-dimensional PET imaging. The measurement of MTV in 4-dimensional PET also showed a similar magnitude of reduction of deviation compared with 3-dimensional PET. Four-dimensional PET with use of phase-matched 4-dimensional CT for attenuation correction showed less variation in SUVmax and MTV among phases compared with 4-dimensional PET with free-breathing CT or average intensity projection CT for attenuation correction. CONCLUSIONS Four-dimensional PET imaging reduces the impact of motion on measured SUVmax and MTV when compared with 3-dimensional PET imaging. Clinical 4-dimensional PET imaging protocols should consider phase-matched 4-dimensional CT imaging for attenuation correction to achieve more accurate measurements.
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Affiliation(s)
- Yunfeng Cui
- Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina
| | - James Bowsher
- Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina
| | - Jing Cai
- Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina
| | - Fang-Fang Yin
- Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina
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Alam MS, Fu L, Ren YY, Wu HB, Wang QS, Han YJ, Zhou WL, Li HS, Wang Z. 18F-FDG super bone marrow uptake: A highly potent indicator for the malignant infiltration. Medicine (Baltimore) 2016; 95:e5579. [PMID: 28033252 PMCID: PMC5207548 DOI: 10.1097/md.0000000000005579] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
The present study was performed to investigate whether the markedly 2-deoxy-2-(fluorine-18) fluoro-D-glucose (F-FDG) uptake in the bone marrow (BM) is a presentation of malignant infiltration (MI).Super bone marrow uptake (super BMU) was used to name the markedly F-FDG uptake on BM, which was similar to or higher than that of the brain. From April 2008 to December 2015, 31 patients with such presentation were retrospectively reviewed. The F-FDG uptake was semiquantified using SUVmax and BM to cerebellum (BM/C) ratio. The origin of super BMU was diagnosed by pathology. Some blood parameters, as well as fever, were also collected and analyzed. For comparison, 106 patients with mildly and moderately uptake in BM and 20 healthy subjects were selected as the control group.Bone marrow MI was diagnosed in 93.5% (29/31) patients with super BMU, which mostly originated from acute leukemia and highly aggressive lymphoma. The super BMU group had markedly higher F-FDG uptake in the BM than those of mildly and moderately uptake, and the control subjects (all P = 0.000) and the BM/C ratio reached a high of 1.24 ± 0.36. The incidence of bone marrow MI in the super BMU group was markedly higher than that of mildly and moderately uptake (93.5% vs 36.8%, P = 0.000). Based on the receiver operating characteristic analysis, when cut-off values of BM/C and SUVmax were set at 0.835 and 6.560, the diagnostic specificity for bone marrow MI reached the high levels of 91.4% and 95.7%, respectively. In 15 patients with bone marrow MI, the extra-BM malignant lesions were simultaneously detected by F-FDG PET/CT. The liver and the nasal cavity involvements were only found in the patients with lymphoma, but not in those with leukemia. A decrease of leukocyte, hemoglobin, and platelet counts was noted in 48.4%, 86.2%, and 51.5% of patients with bone marrow MI, respectively.The present study revealed that super BMU was a highly potent indicator for the bone marrow MI.
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Meijer TWH, de Geus-Oei LF, Visser EP, Oyen WJG, Looijen-Salamon MG, Visvikis D, Verhagen AFTM, Bussink J, Vriens D. Tumor Delineation and Quantitative Assessment of Glucose Metabolic Rate within Histologic Subtypes of Non-Small Cell Lung Cancer by Using Dynamic 18F Fluorodeoxyglucose PET. Radiology 2016; 283:547-559. [PMID: 27846378 DOI: 10.1148/radiol.2016160329] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Purpose To assess whether dynamic fluorine 18 (18F) fluorodeoxyglucose (FDG) positron emission tomography (PET) has added value over static 18F-FDG PET for tumor delineation in non-small cell lung cancer (NSCLC) radiation therapy planning by using pathology volumes as the reference standard and to compare pharmacokinetic rate constants of 18F-FDG metabolism, including regional variation, between NSCLC histologic subtypes. Materials and Methods The study was approved by the institutional review board. Patients gave written informed consent. In this prospective observational study, 1-hour dynamic 18F-FDG PET/computed tomographic examinations were performed in 35 patients (36 resectable NSCLCs) between 2009 and 2014. Static and parametric images of glucose metabolic rate were obtained to determine lesion volumes by using three delineation strategies. Pathology volume was calculated from three orthogonal dimensions (n = 32). Whole tumor and regional rate constants and blood volume fraction (VB) were computed by using compartment modeling. Results Pathology volumes were larger than PET volumes (median difference, 8.7-25.2 cm3; Wilcoxon signed rank test, P < .001). Static fuzzy locally adaptive Bayesian (FLAB) volumes corresponded best with pathology volumes (intraclass correlation coefficient, 0.72; P < .001). Bland-Altman analyses showed the highest precision and accuracy for static FLAB volumes. Glucose metabolic rate and 18F-FDG phosphorylation rate were higher in squamous cell carcinoma (SCC) than in adenocarcinoma (AC), whereas VB was lower (Mann-Whitney U test or t test, P = .003, P = .036, and P = .019, respectively). Glucose metabolic rate, 18F-FDG phosphorylation rate, and VB were less heterogeneous in AC than in SCC (Friedman analysis of variance). Conclusion Parametric images are not superior to static images for NSCLC delineation. FLAB-based segmentation on static 18F-FDG PET images is in best agreement with pathology volume and could be useful for NSCLC autocontouring. Differences in glycolytic rate and VB between SCC and AC are relevant for research in targeting agents and radiation therapy dose escalation. © RSNA, 2016 Online supplemental material is available for this article.
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Affiliation(s)
- Tineke W H Meijer
- From the Departments of Radiation Oncology (T.W.H.M., J.B.), Radiology and Nuclear Medicine (L.F.d.G.O., E.P.V., W.J.G.O.), Pathology (M.G.L.S.), and Cardiothoracic Surgery (A.F.T.M.V.), Radboud University Medical Center, PO Box 9101, 6500 HB Nijmegen, the Netherlands; Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands (L.F.d.G.O., D. Vriens); Biomedical Photonic Imaging Group, MIRA Institute, University of Twente, Enschede, the Netherlands (L.F.d.G.O.); Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, London, England (W.J.G.O.); and INSERM, UMR 1101, LaTIM, Université de Bretagne Occidentale, Brest, France (D. Visvikis)
| | - Lioe-Fee de Geus-Oei
- From the Departments of Radiation Oncology (T.W.H.M., J.B.), Radiology and Nuclear Medicine (L.F.d.G.O., E.P.V., W.J.G.O.), Pathology (M.G.L.S.), and Cardiothoracic Surgery (A.F.T.M.V.), Radboud University Medical Center, PO Box 9101, 6500 HB Nijmegen, the Netherlands; Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands (L.F.d.G.O., D. Vriens); Biomedical Photonic Imaging Group, MIRA Institute, University of Twente, Enschede, the Netherlands (L.F.d.G.O.); Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, London, England (W.J.G.O.); and INSERM, UMR 1101, LaTIM, Université de Bretagne Occidentale, Brest, France (D. Visvikis)
| | - Eric P Visser
- From the Departments of Radiation Oncology (T.W.H.M., J.B.), Radiology and Nuclear Medicine (L.F.d.G.O., E.P.V., W.J.G.O.), Pathology (M.G.L.S.), and Cardiothoracic Surgery (A.F.T.M.V.), Radboud University Medical Center, PO Box 9101, 6500 HB Nijmegen, the Netherlands; Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands (L.F.d.G.O., D. Vriens); Biomedical Photonic Imaging Group, MIRA Institute, University of Twente, Enschede, the Netherlands (L.F.d.G.O.); Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, London, England (W.J.G.O.); and INSERM, UMR 1101, LaTIM, Université de Bretagne Occidentale, Brest, France (D. Visvikis)
| | - Wim J G Oyen
- From the Departments of Radiation Oncology (T.W.H.M., J.B.), Radiology and Nuclear Medicine (L.F.d.G.O., E.P.V., W.J.G.O.), Pathology (M.G.L.S.), and Cardiothoracic Surgery (A.F.T.M.V.), Radboud University Medical Center, PO Box 9101, 6500 HB Nijmegen, the Netherlands; Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands (L.F.d.G.O., D. Vriens); Biomedical Photonic Imaging Group, MIRA Institute, University of Twente, Enschede, the Netherlands (L.F.d.G.O.); Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, London, England (W.J.G.O.); and INSERM, UMR 1101, LaTIM, Université de Bretagne Occidentale, Brest, France (D. Visvikis)
| | - Monika G Looijen-Salamon
- From the Departments of Radiation Oncology (T.W.H.M., J.B.), Radiology and Nuclear Medicine (L.F.d.G.O., E.P.V., W.J.G.O.), Pathology (M.G.L.S.), and Cardiothoracic Surgery (A.F.T.M.V.), Radboud University Medical Center, PO Box 9101, 6500 HB Nijmegen, the Netherlands; Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands (L.F.d.G.O., D. Vriens); Biomedical Photonic Imaging Group, MIRA Institute, University of Twente, Enschede, the Netherlands (L.F.d.G.O.); Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, London, England (W.J.G.O.); and INSERM, UMR 1101, LaTIM, Université de Bretagne Occidentale, Brest, France (D. Visvikis)
| | - Dimitris Visvikis
- From the Departments of Radiation Oncology (T.W.H.M., J.B.), Radiology and Nuclear Medicine (L.F.d.G.O., E.P.V., W.J.G.O.), Pathology (M.G.L.S.), and Cardiothoracic Surgery (A.F.T.M.V.), Radboud University Medical Center, PO Box 9101, 6500 HB Nijmegen, the Netherlands; Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands (L.F.d.G.O., D. Vriens); Biomedical Photonic Imaging Group, MIRA Institute, University of Twente, Enschede, the Netherlands (L.F.d.G.O.); Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, London, England (W.J.G.O.); and INSERM, UMR 1101, LaTIM, Université de Bretagne Occidentale, Brest, France (D. Visvikis)
| | - Ad F T M Verhagen
- From the Departments of Radiation Oncology (T.W.H.M., J.B.), Radiology and Nuclear Medicine (L.F.d.G.O., E.P.V., W.J.G.O.), Pathology (M.G.L.S.), and Cardiothoracic Surgery (A.F.T.M.V.), Radboud University Medical Center, PO Box 9101, 6500 HB Nijmegen, the Netherlands; Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands (L.F.d.G.O., D. Vriens); Biomedical Photonic Imaging Group, MIRA Institute, University of Twente, Enschede, the Netherlands (L.F.d.G.O.); Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, London, England (W.J.G.O.); and INSERM, UMR 1101, LaTIM, Université de Bretagne Occidentale, Brest, France (D. Visvikis)
| | - Johan Bussink
- From the Departments of Radiation Oncology (T.W.H.M., J.B.), Radiology and Nuclear Medicine (L.F.d.G.O., E.P.V., W.J.G.O.), Pathology (M.G.L.S.), and Cardiothoracic Surgery (A.F.T.M.V.), Radboud University Medical Center, PO Box 9101, 6500 HB Nijmegen, the Netherlands; Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands (L.F.d.G.O., D. Vriens); Biomedical Photonic Imaging Group, MIRA Institute, University of Twente, Enschede, the Netherlands (L.F.d.G.O.); Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, London, England (W.J.G.O.); and INSERM, UMR 1101, LaTIM, Université de Bretagne Occidentale, Brest, France (D. Visvikis)
| | - Dennis Vriens
- From the Departments of Radiation Oncology (T.W.H.M., J.B.), Radiology and Nuclear Medicine (L.F.d.G.O., E.P.V., W.J.G.O.), Pathology (M.G.L.S.), and Cardiothoracic Surgery (A.F.T.M.V.), Radboud University Medical Center, PO Box 9101, 6500 HB Nijmegen, the Netherlands; Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands (L.F.d.G.O., D. Vriens); Biomedical Photonic Imaging Group, MIRA Institute, University of Twente, Enschede, the Netherlands (L.F.d.G.O.); Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, London, England (W.J.G.O.); and INSERM, UMR 1101, LaTIM, Université de Bretagne Occidentale, Brest, France (D. Visvikis)
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Batumalai V, Holloway LC, Kumar S, Dundas K, Jameson MG, Vinod SK, Delaney GP. Survey of image-guided radiotherapy use in Australia. J Med Imaging Radiat Oncol 2016; 61:394-401. [PMID: 27863010 DOI: 10.1111/1754-9485.12556] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2016] [Accepted: 10/13/2016] [Indexed: 12/25/2022]
Abstract
INTRODUCTION This study aimed to evaluate the current use of imaging technologies for planning and delivery of radiotherapy (RT) in Australia. METHODS An online survey was emailed to all Australian RT centres in August 2015. The survey inquired about imaging practices during planning and treatment delivery processes. Participants were asked about the types of image-guided RT (IGRT) technologies and the disease sites they were used for, reasons for implementation, frequency of imaging and future plans for IGRT use in their department. RESULTS The survey was completed by 71% of Australian RT centres. All respondents had access to computed tomography (CT) simulators and regularly co-registered the following scans to the RT: diagnostic CT (50%), diagnostic magnetic resonance imaging (MRI) (95%), planning MRI (34%), planning positron emission tomography (PET) (26%) and diagnostic PET (97%) to aid in tumour delineation. The main reason for in-room IGRT implementation was the use of highly conformal techniques, while the most common reason for under-utilisation was lack of equipment capability. The most commonly used IGRT modalities were kilovoltage (kV) cone-beam CT (CBCT) (97%), kV electronic portal image (EPI) (89%) and megavoltage (MV) EPI (75%). Overall, participants planned to increase IGRT use in planning (33%) and treatment delivery (36%). CONCLUSIONS IGRT is widely used among Australian RT centres. On the basis of future plans of respondents, the installation of new imaging modalities is expected to increase for both planning and treatment.
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Affiliation(s)
- Vikneswary Batumalai
- Liverpool and Macarthur Cancer Therapy Centres, Sydney, New South Wales, Australia.,Ingham Institute of Applied Medical Research, Sydney, New South Wales, Australia.,South Western Clinical School, University of New South Wales, Sydney, New South Wales, Australia
| | - Lois Charlotte Holloway
- Liverpool and Macarthur Cancer Therapy Centres, Sydney, New South Wales, Australia.,Ingham Institute of Applied Medical Research, Sydney, New South Wales, Australia.,South Western Clinical School, University of New South Wales, Sydney, New South Wales, Australia.,Centre for Medical Radiation Physics, University of Wollongong, Wollongong, New South Wales, Australia.,Institute of Medical Physics, School of Physics, University of Sydney, Sydney, New South Wales, Australia
| | - Shivani Kumar
- Liverpool and Macarthur Cancer Therapy Centres, Sydney, New South Wales, Australia.,Ingham Institute of Applied Medical Research, Sydney, New South Wales, Australia.,South Western Clinical School, University of New South Wales, Sydney, New South Wales, Australia
| | - Kylie Dundas
- Liverpool and Macarthur Cancer Therapy Centres, Sydney, New South Wales, Australia.,Ingham Institute of Applied Medical Research, Sydney, New South Wales, Australia.,South Western Clinical School, University of New South Wales, Sydney, New South Wales, Australia
| | - Michael Geoffrey Jameson
- Liverpool and Macarthur Cancer Therapy Centres, Sydney, New South Wales, Australia.,Ingham Institute of Applied Medical Research, Sydney, New South Wales, Australia.,South Western Clinical School, University of New South Wales, Sydney, New South Wales, Australia.,Centre for Medical Radiation Physics, University of Wollongong, Wollongong, New South Wales, Australia
| | - Shalini Kavita Vinod
- Liverpool and Macarthur Cancer Therapy Centres, Sydney, New South Wales, Australia.,South Western Clinical School, University of New South Wales, Sydney, New South Wales, Australia
| | - Geoff P Delaney
- Liverpool and Macarthur Cancer Therapy Centres, Sydney, New South Wales, Australia.,Ingham Institute of Applied Medical Research, Sydney, New South Wales, Australia.,South Western Clinical School, University of New South Wales, Sydney, New South Wales, Australia
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Abstract
The International Atomic Energy Agency (IAEA) has been involved in radiation therapy since soon after its creation in 1957. In response to the demands of Member States, the IAEA׳s activities relating to radiation therapy have focused on supporting low- and middle-income countries to set up radiation therapy facilities, expand the scope of treatments, or gradually transition to new technologies. In addition, the IAEA has been very active in providing internationally harmonized guidelines on clinical, dosimetry, medical physics, and safety aspects of radiation therapy. IAEA clinical research has provided evidence for treatment improvement as well as highly effective resource-sparing interventions. In the process, training of researchers occurs through this program. To provide this support, the IAEA works with its Member States and multiple partners worldwide through several mechanisms. In this article, we review the main activities conducted by the IAEA in support to radiation therapy. IAEA support has been crucial for achieving tangible results in many low- and middle-income countries. However, long-term sustainability of projects can present a challenge, especially when considering health budget constraints and the brain drain of skilled professionals. The need for support remains, with more than 90% of patients in low-income countries lacking access to radiotherapy. Thus, the IAEA is expected to continue its support and strengthen quality radiation therapy treatment of patients with cancer.
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Vogel WV, Lam MGEH, Pameijer FA, van der Heide UA, van de Kamer JB, Philippens ME, van Vulpen M, Verheij M. Functional Imaging in Radiotherapy in the Netherlands: Availability and Impact on Clinical Practice. Clin Oncol (R Coll Radiol) 2016; 28:e206-e215. [PMID: 27692741 DOI: 10.1016/j.clon.2016.09.003] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2016] [Revised: 07/10/2016] [Accepted: 07/11/2016] [Indexed: 12/25/2022]
Abstract
AIMS Functional imaging with positron emission tomography/computed tomography (PET/CT) and multiparametric magnetic resonance (mpMR) is increasingly applied for radiotherapy purposes. However, evidence and experience are still limited, and this may lead to clinically relevant differences in accessibility, interpretation and decision making. We investigated the current patterns of care in functional imaging for radiotherapy in the Netherlands in a care evaluation study. MATERIALS AND METHODS The availability of functional imaging in radiotherapy centres in the Netherlands was evaluated; features available in >80% of academic and >80% of non-academic centres were considered standard of care. The impact of functional imaging on clinical decision making was evaluated using case questionnaires on lung, head/neck, breast and prostate cancer, with multiple-choice questions on primary tumour delineation, nodal involvement, distant metastasis and incidental findings. Radiation oncologists were allowed to discuss cases in a multidisciplinary approach. Ordinal answers were evaluated by median and interquartile range (IQR) to identify the extent and variability of clinical impact; additional patterns were evaluated descriptively. RESULTS Information was collected from 18 radiotherapy centres in the Netherlands (all except two). PET/CT was available for radiotherapy purposes to 94% of centres; 67% in the treatment position and 61% with integrated planning CT. mpMR was available to all centres; 61% in the treatment position. Technologists collaborated between departments to acquire PET/CT or mpMR for radiotherapy in 89%. All sites could carry out image registration for target definition. Functional imaging generally showed a high clinical impact (average median 4.3, scale 1-6) and good observer agreement (average IQR 1.1, scale 0-6). However, several issues resulted in ignoring functional imaging (e.g. positional discrepancies, central necrosis) or poor observer agreement (atelectasis, diagnostic discrepancies, conformation strategies). CONCLUSIONS Access to functional imaging with PET/CT and mpMR for radiotherapy purposes, with collaborating technologists and multimodal delineation, can be considered standard of care in the Netherlands. For several specific clinical situations, the interpretation of images may benefit from further standardisation.
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Affiliation(s)
- W V Vogel
- Department of Radiation Oncology, the Netherlands Cancer Institute, Amsterdam, The Netherlands; Department of Nuclear Medicine, the Netherlands Cancer Institute, Amsterdam, The Netherlands; Department of Radiation Oncology, University Medical Center Utrecht, Utrecht, The Netherlands.
| | - M G E H Lam
- Department of Radiology and Nuclear Medicine, University Medical Center Utrecht, Utrecht, The Netherlands
| | - F A Pameijer
- Department of Radiology and Nuclear Medicine, University Medical Center Utrecht, Utrecht, The Netherlands
| | - U A van der Heide
- Department of Radiation Oncology, the Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - J B van de Kamer
- Department of Radiation Oncology, the Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - M E Philippens
- Department of Radiation Oncology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - M van Vulpen
- Department of Radiation Oncology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - M Verheij
- Department of Radiation Oncology, the Netherlands Cancer Institute, Amsterdam, The Netherlands
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86
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Multiple training interventions significantly improve reproducibility of PET/CT-based lung cancer radiotherapy target volume delineation using an IAEA study protocol. Radiother Oncol 2016; 121:39-45. [PMID: 27663950 DOI: 10.1016/j.radonc.2016.09.002] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2016] [Revised: 09/01/2016] [Accepted: 09/04/2016] [Indexed: 12/14/2022]
Abstract
BACKGROUND AND PURPOSE To assess the impact of a standardized delineation protocol and training interventions on PET/CT-based target volume delineation (TVD) in NSCLC in a multicenter setting. MATERIAL AND METHODS Over a one-year period, 11 pairs, comprised each of a radiation oncologist and nuclear medicine physician with limited experience in PET/CT-based TVD for NSCLC from nine different countries took part in a training program through an International Atomic Energy Agency (IAEA) study (NCT02247713). Teams delineated gross tumor volume of the primary tumor, during and after training interventions, according to a provided delineation protocol. In-house developed software recorded the performed delineations, to allow visual inspection of strategies and to assess delineation accuracy. RESULTS Following the first training, overall concordance indices for 3 repetitive cases increased from 0.57±0.07 to 0.66±0.07. The overall mean surface distance between observer and expert contours decreased from -0.40±0.03cm to -0.01±0.33cm. After further training overall concordance indices for another 3 repetitive cases further increased from 0.64±0.06 to 0.80±0.05 (p=0.01). Mean surface distances decreased from -0.34±0.16cm to -0.05±0.20cm (p=0.01). CONCLUSION Multiple training interventions improve PET/CT-based TVD delineation accuracy in NSCLC and reduce interobserver variation.
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Fleckenstein J, Jelden M, Kremp S, Jagoda P, Stroeder J, Khreish F, Ezziddin S, Buecker A, Rübe C, Schneider GK. The Impact of Diffusion-Weighted MRI on the Definition of Gross Tumor Volume in Radiotherapy of Non-Small-Cell Lung Cancer. PLoS One 2016; 11:e0162816. [PMID: 27612171 PMCID: PMC5017760 DOI: 10.1371/journal.pone.0162816] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2016] [Accepted: 08/29/2016] [Indexed: 12/25/2022] Open
Abstract
Objective The study was designed to evaluate diffusion-weighted magnetic resonance imaging (DWI) vs. PET-CT of the thorax in the determination of gross tumor volume (GTV) in radiotherapy planning of non-small-cell lung cancer (NSCLC). Materials and Methods Eligible patients with NSCLC who were supposed to receive definitive radio(chemo)therapy were prospectively recruited. For MRI, a respiratory gated T2-weighted sequence in axial orientation and non-gated DWI (b = 0, 800, 1,400 and apparent diffusion coefficient map [ADC]) were acquired on a 1.5 Tesla scanner. Primary tumors were delineated on FDG-PET/CT (stGTV) and DWI images (dwGTV). The definition of stGTV was based on the CT and visually adapted to the FDG-PET component if indicated (e.g., in atelectasis). For DWI, dwGTV was visually determined and adjusted for anatomical plausibility on T2w sequences. Beside a statistical comparison of stGTV and dwGTB, spatial agreement was determined with the “Hausdorff-Distance” (HD) and the “Dice Similarity Coefficient” (DSC). Results Fifteen patients (one patient with two synchronous NSCLC) were evaluated. For 16 primary tumors with UICC stages I (n = 4), II (n = 3), IIIA (n = 2) and IIIB (n = 7) mean values for dwGTV were significantly larger than those of stGTV (76.6 ± 84.5 ml vs. 66.6 ± 75.2 ml, p<0.01). The correlation of stGTV and dwGTV was highly significant (r = 0.995, p<0.001). Yet, some considerable volume deviations between these two methods were observed (median 27.5%, range 0.4–52.1%). An acceptable agreement between dwGTV and stGTV regarding the spatial extent of primary tumors was found (average HD: 2.25 ± 0.7 mm; DC 0.68 ± 0.09). Conclusion The overall level of agreement between PET-CT and MRI based GTV definition is acceptable. Tumor volumes may differ considerably in single cases. DWI-derived GTVs are significantly, yet modestly, larger than their PET-CT based counterparts. Prospective studies to assess the safety and efficacy of DWI-based radiotherapy planning in NSCLC are warranted.
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Affiliation(s)
- Jochen Fleckenstein
- Department of Radiotherapy and Radiation Oncology, Saarland University Medical Center, Homburg, Germany
- * E-mail:
| | - Michael Jelden
- Department of Radiotherapy and Radiation Oncology, Saarland University Medical Center, Homburg, Germany
| | - Stephanie Kremp
- Department of Radiotherapy and Radiation Oncology, Saarland University Medical Center, Homburg, Germany
| | - Philippe Jagoda
- Department of Diagnostic and Interventional Radiology, Saarland University Medical Center, Homburg, Germany
| | - Jonas Stroeder
- Department of Diagnostic and Interventional Radiology, Saarland University Medical Center, Homburg, Germany
| | - Fadi Khreish
- Department of Nuclear Medicine, Saarland University Medical Center, Homburg, Germany
| | - Samer Ezziddin
- Department of Nuclear Medicine, Saarland University Medical Center, Homburg, Germany
| | - Arno Buecker
- Department of Nuclear Medicine, Saarland University Medical Center, Homburg, Germany
| | - Christian Rübe
- Department of Radiotherapy and Radiation Oncology, Saarland University Medical Center, Homburg, Germany
| | - Guenther K. Schneider
- Department of Diagnostic and Interventional Radiology, Saarland University Medical Center, Homburg, Germany
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88
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Thureau S, Hapdey S, Vera P. [Role of functional imaging in the definition of target volumes for lung cancer radiotherapy]. Cancer Radiother 2016; 20:699-704. [PMID: 27614514 DOI: 10.1016/j.canrad.2016.08.121] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2016] [Accepted: 08/01/2016] [Indexed: 12/23/2022]
Abstract
Functional imaging with positron emission tomography (PET) is interesting to optimize lung radiotherapy planning, and probably to deliver a heterogeneous dose or adapt the radiation dose during treatment. Only fluorodeoxyglucose (FDG) PET-computed tomography (CT) is validated for staging lung cancer and planning radiotherapy. The optimal segmentation methods remain to be defined as well as the interest of "dose painting" from pre-treatment PET (metabolism: FDG) or hypoxia (fluoromisonidazole: FMISO) and the interest of replanning based on pertherapeutic PET.
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Affiliation(s)
- S Thureau
- Département de médecine nucléaire, centre de lutte contre le cancer Henri-Becquerel, rue d'Amiens, 76000 Rouen, France; Département de radiothérapie et de physique médicale, centre de lutte contre le cancer Henri-Becquerel, rue d'Amiens, 76000 Rouen, France; Laboratoire QuantIF, EA4108-Litis, FR CNRS 3638, 1, rue d'Amiens, 76000 Rouen, France.
| | - S Hapdey
- Département de médecine nucléaire, centre de lutte contre le cancer Henri-Becquerel, rue d'Amiens, 76000 Rouen, France; Laboratoire QuantIF, EA4108-Litis, FR CNRS 3638, 1, rue d'Amiens, 76000 Rouen, France
| | - P Vera
- Département de médecine nucléaire, centre de lutte contre le cancer Henri-Becquerel, rue d'Amiens, 76000 Rouen, France; Laboratoire QuantIF, EA4108-Litis, FR CNRS 3638, 1, rue d'Amiens, 76000 Rouen, France
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Dwyer PM, Lao L, Ruben JD, Yap ML, Siva S, Hegi-Johnson F, Hardcastle N, Barber J, Lehman M, Ball D, Vinod SK. Australia and New Zealand Faculty of Radiation Oncology Lung Interest Cooperative: 2015 consensus guidelines for the use of advanced technologies in the radiation therapy treatment of locally advanced non-small cell lung cancer. J Med Imaging Radiat Oncol 2016; 60:686-692. [PMID: 27470188 DOI: 10.1111/1754-9485.12501] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2015] [Accepted: 06/26/2016] [Indexed: 11/28/2022]
Affiliation(s)
- Patrick M Dwyer
- Northern New South Wales Cancer Institute, Lismore, New South Wales, Australia.
| | - Louis Lao
- Department of Radiation Oncology, Auckland City Hospital, Auckland, New Zealand
| | - Jeremy D Ruben
- William Buckland Radiotherapy Centre, The Alfred and Monash University, Melbourne, Victoria, Australia
| | - Mei Ling Yap
- Liverpool and Macarthur Cancer Therapy Centre, Campbelltown, New South Wales, Australia
| | - Shankar Siva
- Department of Radiation Oncology, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia
| | | | - Nicholas Hardcastle
- Northern Sydney Cancer Centre, Royal North Shore Hospital, St. Leonards, New South Wales, Australia
| | - Jeffrey Barber
- Nepean Cancer Care Centre, Sydney, New South Wales, Australia
| | - Margot Lehman
- Department of Radiation Oncology, Princess Alexandra Hospital, Brisbane, Queensland, Australia
| | - David Ball
- Department of Radiation Oncology, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia
| | - Shalini K Vinod
- Cancer Therapy Centre, Liverpool Hospital, Liverpool, New South Wales, Australia
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90
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Lai YL, Wu CY, Chao KSC. Biological imaging in clinical oncology: radiation therapy based on functional imaging. Int J Clin Oncol 2016; 21:626-632. [PMID: 27384183 DOI: 10.1007/s10147-016-1000-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2016] [Accepted: 05/29/2016] [Indexed: 12/25/2022]
Abstract
Radiation therapy is one of the most effective tools for cancer treatment. In recent years, intensity-modulated radiation therapy has become increasingly popular in that target dose-escalation can be done while sparing adjacent normal tissues. For this reason, the development of measures to pave the way for accurate target delineation is of great interest. With the integration of functional information obtained by biological imaging with radiotherapy, strategies using advanced biological imaging to visualize metabolic pathways and to improve therapeutic index and predict treatment response are discussed in this article.
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Affiliation(s)
- Yo-Liang Lai
- Department of Radiation Oncology, China Medical University Hospital, China Medical University, Taichung, Taiwan
| | - Chun-Yi Wu
- Department of Biomedical Imaging and Radiological Science, China Medical University, Taichung, Taiwan
| | - K S Clifford Chao
- China Medical University, 91 Hsueh-Shih Road, Taichung, 40402, Taiwan.
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91
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Simone CB, Houshmand S, Kalbasi A, Salavati A, Alavi A. PET-Based Thoracic Radiation Oncology. PET Clin 2016; 11:319-32. [DOI: 10.1016/j.cpet.2016.03.001] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
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92
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Vinod SK, Min M, Jameson MG, Holloway LC. A review of interventions to reduce inter-observer variability in volume delineation in radiation oncology. J Med Imaging Radiat Oncol 2016; 60:393-406. [DOI: 10.1111/1754-9485.12462] [Citation(s) in RCA: 95] [Impact Index Per Article: 11.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2015] [Accepted: 03/16/2016] [Indexed: 12/25/2022]
Affiliation(s)
- Shalini K Vinod
- Cancer Therapy Centre; Liverpool Hospital; Liverpool New South Wales Australia
- South Western Sydney Clinical School; University of NSW; Sydney New South Wales Australia
- Western Sydney University; Sydney New South Wales Australia
| | - Myo Min
- Cancer Therapy Centre; Liverpool Hospital; Liverpool New South Wales Australia
- South Western Sydney Clinical School; University of NSW; Sydney New South Wales Australia
| | - Michael G Jameson
- Cancer Therapy Centre; Liverpool Hospital; Liverpool New South Wales Australia
- Ingham Institute of Applied Medical Research; Liverpool Hospital; Liverpool New South Wales Australia
- Centre for Medical Radiation Physics; University of Wollongong; Wollongong New South Wales Australia
| | - Lois C Holloway
- Cancer Therapy Centre; Liverpool Hospital; Liverpool New South Wales Australia
- South Western Sydney Clinical School; University of NSW; Sydney New South Wales Australia
- Western Sydney University; Sydney New South Wales Australia
- Ingham Institute of Applied Medical Research; Liverpool Hospital; Liverpool New South Wales Australia
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93
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Grootjans W, Usmanij EA, Oyen WJG, van der Heijden EHFM, Visser EP, Visvikis D, Hatt M, Bussink J, de Geus-Oei LF. Performance of automatic image segmentation algorithms for calculating total lesion glycolysis for early response monitoring in non-small cell lung cancer patients during concomitant chemoradiotherapy. Radiother Oncol 2016; 119:473-9. [PMID: 27178141 DOI: 10.1016/j.radonc.2016.04.039] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2016] [Revised: 04/15/2016] [Accepted: 04/16/2016] [Indexed: 02/07/2023]
Abstract
BACKGROUND AND PURPOSE This study evaluated the use of total lesion glycolysis (TLG) determined by different automatic segmentation algorithms, for early response monitoring in non-small cell lung cancer (NSCLC) patients during concomitant chemoradiotherapy. MATERIALS AND METHODS Twenty-seven patients with locally advanced NSCLC treated with concomitant chemoradiotherapy underwent (18)F-fluorodeoxyglucose (FDG) PET/CT imaging before and in the second week of treatment. Segmentation of the primary tumours and lymph nodes was performed using fixed threshold segmentation at (i) 40% SUVmax (T40), (ii) 50% SUVmax (T50), (iii) relative-threshold-level (RTL), (iv) signal-to-background ratio (SBR), and (v) fuzzy locally adaptive Bayesian (FLAB) segmentation. Association of primary tumour TLG (TLGT), lymph node TLG (TLGLN), summed TLG (TLGS=TLGT+TLGLN), and relative TLG decrease (ΔTLG) with overall-survival (OS) and progression-free survival (PFS) was determined using univariate Cox regression models. RESULTS Pretreatment TLGT was predictive for PFS and OS, irrespective of the segmentation method used. Inclusion of TLGLN improved disease and early response assessment, with pretreatment TLGS more strongly associated with PFS and OS than TLGT for all segmentation algorithms. This was also the case for ΔTLGS, which was significantly associated with PFS and OS, with the exception of RTL and T40. CONCLUSIONS ΔTLGS was significantly associated with PFS and OS, except for RTL and T40. Inclusion of TLGLN improves early treatment response monitoring during concomitant chemoradiotherapy with FDG-PET.
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Affiliation(s)
- Willem Grootjans
- Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, The Netherlands; Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
| | - Edwin A Usmanij
- Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Wim J G Oyen
- Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, The Netherlands; The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, London, UK
| | | | - Eric P Visser
- Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Dimitris Visvikis
- INSERM, UMR 1101 Laboratoire de Traitement de l'information Médicale (LaTIM), Brest, France
| | - Mathieu Hatt
- INSERM, UMR 1101 Laboratoire de Traitement de l'information Médicale (LaTIM), Brest, France
| | - Johan Bussink
- Department of Radiation Oncology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Lioe-Fee de Geus-Oei
- Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, The Netherlands; Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands; Biomedical Photonic Imaging Group, MIRA Institute, University of Twente, Enschede, The Netherlands
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van Diessen JN, Chen C, van den Heuvel MM, Belderbos JS, Sonke JJ. Differential analysis of local and regional failure in locally advanced non-small cell lung cancer patients treated with concurrent chemoradiotherapy. Radiother Oncol 2016; 118:447-52. [DOI: 10.1016/j.radonc.2016.02.008] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2015] [Revised: 02/02/2016] [Accepted: 02/04/2016] [Indexed: 12/25/2022]
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95
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MacManus M. Using PET and CT imaging to define the radiotherapy target for tumours that move with respiration. J Med Imaging Radiat Oncol 2015; 59:621-2. [PMID: 26439218 DOI: 10.1111/1754-9485.12349] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2015] [Accepted: 06/27/2015] [Indexed: 11/28/2022]
Affiliation(s)
- Michael MacManus
- Department of Radiation Oncology, Division of Radiation Oncology and Cancer Imaging, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.,The Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, Victoria, Australia
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Tchelebi L, Ashamalla H. Overcoming the hurdles of using PET/CT for target volume delineation in curative intent radiotherapy of non-small cell lung cancer. ANNALS OF TRANSLATIONAL MEDICINE 2015; 3:191. [PMID: 26417575 DOI: 10.3978/j.issn.2305-5839.2015.07.02] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Affiliation(s)
- Leila Tchelebi
- Department of Radiation Oncology, New York Methodist Hospital, Brooklyn, NY 11215, USA
| | - Hani Ashamalla
- Department of Radiation Oncology, New York Methodist Hospital, Brooklyn, NY 11215, USA
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