Multi-centre calibration of an adaptive thresholding method for PET-based delineation of tumour volumes in radiotherapy planning of lung cancer;Multizentrische kalibrierung eines adaptiven schwellwertverfahrens zur PET-basierten volumen konturierung in der bestrahlungsplanung des lungenkarzinoms

NuklearMedizin

Volumn 51, Issue 3, 2012, Pages 101-110

  Schaefer, A ^a   Nestle, U ^b   Kremp, S ^a   Hellwig, D ^a   Grgic, A ^a   Buchholz, H G ^c   Mischke, W ^d   Gromoll, C ^e   Dennert, P ^f   Plotkin, M ^g   Senftleben, S ^h   Thorwarth, D ⁱ   Tosch, M ^j   Wahl, A ^k   Wengenmair, H ^l   Rube C ^a   Kirsch, C M ^a  

^a SAARLAND UNIVERSITY   (Germany)

^b UNIVERSITY OF FREIBURG   (Germany)

^c UNIVERSITY MEDICAL CENTER MAINZ   (Germany)

^d Helios clinics ^*  (Germany)

^e MARIENHOSPITAL STUTTGART   (Germany)

^f Friedrich Ebert Medical Center   (Germany)

^g CHARITÉ UNIVERSITÄTSMEDIZIN BERLIN   (Germany)

^h PET Center   (Germany)

ⁱ UNIVERSITY HOSPITAL TÜBINGEN   (Germany)

^j Maria Hilf Medical Center   (Germany)

^k Department of Nuclear Medicine   (Germany)

^l Medical Center   (Germany)

more..

Author keywords

18F FDG PET; Calibration; GTV definition; Lung cancer; Multi centre trial; Volume delineation

Indexed keywords

FLUORODEOXYGLUCOSE F 18;

ADAPTIVE THRESHOLDING METHOD; ALGORITHM; ANALYTIC METHOD; ARTICLE; CALIBRATION; CANCER RADIOTHERAPY; CANCER SIZE; COMPUTED TOMOGRAPHY SCANNER; COMPUTER ASSISTED EMISSION TOMOGRAPHY; COMPUTER PROGRAM; CONTRAST ENHANCEMENT; IMAGE ANALYSIS; IMAGE PROCESSING; LUNG CANCER; PHANTOM; POSITRON EMISSION TOMOGRAPHY; TREATMENT PLANNING;

ALGORITHMS; CALIBRATION; EQUIPMENT FAILURE ANALYSIS; GERMANY; HUMANS; LUNG NEOPLASMS; POSITRON-EMISSION TOMOGRAPHY; RADIOTHERAPY DOSAGE; RADIOTHERAPY PLANNING, COMPUTER-ASSISTED; REFERENCE STANDARDS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84860907423     PISSN: 00295566     EISSN: None     Source Type: Journal    
DOI: 10.3413/Nukmed-0452-11-12     Document Type: Article

References (35)

1. Bailey DL, Young H, Bloomfield PM et al. ECAT ART - a continuously rotating PET camera: performance characteristics, initial clinical studies, and installation considerations in a nuclear medicine department. Eur J Nucl Med 1997; 24: 6-15.
2. Black QC, Grills IS, Kestin LL et al. Defining a radiotherapy target with positron emission tomography. Int J Radiat Oncol Biol Phys 2004; 60: 1272-1282.
3. Boellaard R. Standards for PET image acquisition and quantitative data analysis. J Nucl Med 2009; 50 Suppl 1: 11S-20S.
4. Boellaard R, O'Doherty MJ, Weber WA et al. FDG PET and PET/CT: EANM procedure guidelines for tumour PET imaging: version 1.0. Eur J Nucl Med Mol Imaging 2010; 37: 181-200.
5. Brambilla M, Secco C, Dominietto M et al. Performance characteristics obtained for a new 3-dimensional lutetium oxyorthosilicate-based wholebody PET/CT scanner with the National Electrical Manufacturers Association NU 2-2001 standard. J Nucl Med 2005; 46: 2083-2091.
6. Caldwell CB, Mah K, Skinner M, Danjoux CE. Can PET provide the 3D extent of tumor motion for individualized internal target volumes? A phantom study of the limitations of CT and the promise of PET. Int J Radiat Oncol Biol Phys 2003; 55: 1381-1393.
7. Daisne JF, Duprez T, Weynand B et al. Tumor volume in pharyngolaryngeal squamous cell carcinoma: comparison at CT, MR imaging, and FDG PET and validation with surgical specimen. Radiology 2004; 233: 93-100.
8. Daisne JF, Sibomana M, Bol A et al. Tri-dimensional automatic segmentation of PET volumes based on measured source-to-background ratios: influence of reconstruction algorithms. Radiother Oncol 2003; 69: 247-250.
9. De Ruysscher D, Wanders S, Minken A et al. Effects of radiotherapy planning with a dedicated combined PET-CT-simulator of patients with nonsmall cell lung cancer on dose limiting normal tissues and radiation dose-escalation: a planning study. Radiother Oncol 2005; 77: 5-10.
10. El Naqa I, Yang D, Apte A et al. Concurrent multimodality image segmentation by active contours for radiotherapy treatment planning. Med Phys 2007; 34: 4738-4749.
11. Erdi YE, Mawlawi O, Larson SM et al. Segmentation of lung lesion volume by adaptive positron emission tomography image thresholding. Cancer 1997; 80(12 Suppl): 2505-2509.
12. 18F-FDGPET confined radiotherapy of locally advanced NSCLC with concomitant chemotherapy: Results of the PET-PLAN Pilot Trial. Int J Radiat Oncol Biol Phys 2011; 81: e283-e289.
13. Geets X, Lee JA, Bol A et al. A gradient-based method for segmenting FDG-PET images: methodology and validation. Eur J Nucl Med Mol Imaging 2007; 34: 1427-1438.
14. Grgic A, Nestle U, Schaefer-Schuler A et al. FDGPET- based radiotherapy planning in lung cancer: optimum breathing protocol and patient positioning-- an intraindividual comparison. Int J Radiat Oncol Biol Phys 2009; 73: 103-111.
15. Hatt M, Cheze le Rest C, Turzo A et al. A fuzzy locally adaptive Bayesian segmentation approach for volume determination in PET. IEEE Trans Med Imaging 2009; 28: 881-893.
16. Hudson HM, Larkin RS. Accelerated image reconstruction using ordered subsets of projection data. IEEE Trans Med Imaging 1994; 13: 601-609.
17. Knight SB, Delbeke D, Stewart JR, Sandler MP. Evaluation of pulmonary lesions with FDG-PET. Comparison of findings in patients with and without a history of prior malignancy. Chest 1996; 109: 982-988.
18. Krak NC, Boellaard R, Hoekstra OS et al. Effects of ROI definition and reconstruction method on quantitative outcome and applicability in a response monitoring trial. Eur J Nucl Med Mol Imaging 2005; 32: 294-301.
19. Kremp S, Schaefer-Schuler A, Nestle U et al. Comparison of CT and CT-PET-fusion based 3D treatment plans in the percutaneous radiotherapy of lung cancer. 2004;. Radiother Oncol 2004; 73 (suppl 1): S447-S448.
20. Lee JA. Segmentation of positron emission tomography images: some recommendations for target delineation in radiation oncology. Radiother Oncol 2010; 96: 302-307.
21. Li H, Thorstad WL, Biehl KJ et al. A novel PET tumor delineation method based on adaptive region- growing and dual-front active contours. Med Phys 2008; 35: 3711-3721.
22. Nehmeh SA, El-Zeftawy H, Greco C et al. An iterative technique to segment PET lesions using a Monte Carlo based mathematical model. Med Phys 2009; 36: 4803-4809.
23. Nestle U, Kremp S, Grosu A. Practical integration of [18F]-FDG-PET and PET-CT in the planning of radiotherapy for non-small cell lung cancer (NSCLC): The technical basis, ICRU-target volumes, problems, perspectives. Radiother Oncol 2006; 81: 209-225.
24. Nestle U, Kremp S, Schaefer-Schuler A et al. Comparison of different methods for delineation of 18F-FDG PET-positive tissue for target volume definition in radiotherapy of patients with non-Small cell lung cancer. J Nucl Med 2005; 46: 1342-1348.
25. Ollers M, Bosmans G, van Baardwijk A et al. The integration of PET-CT scans from different hospitals into radiotherapy treatment planning. Radiother Oncol 2008; 87: 142-146.
26. Paulino AC, Johnstone PA. FDG-PET in radiotherapy treatment planning: Pandora's box? Int J Radiat Oncol Biol Phys 2004; 59: 4-5.
27. Pötzsch C, Hofheinz F, van den Hoff J. Vergleich der Inter-Observer-Variabilität bei manueller und automatischer Volumenbestimmung in der PET. Nuklearmedizin 2006; 45: A42.
28. Schaefer A, Kremp S, Hellwig D et al. A contrastoriented algorithm for FDG-PET-based delineation of tumour volumes for the radiotherapy of lung cancer: derivation from phantom measurements and validation in patient data. Eur J Nucl Med Mol Imaging 2008; 35: 1989-1999.
29. Scheuermann JS, Saffer JR, Karp JS et al. Qualification of PET scanners for use in multicenter cancer clinical trials: the American College of Radiology Imaging Network experience. J Nucl Med 2009; 50: 1187-1193.
30. Surti S, Kuhn A, Werner ME et al. Performance of Philips Gemini TF PET/CT scanner with special consideration for its time-of-flight imaging capabilities. J Nucl Med 2007; 48: 471-480.
31. Thorwarth D, Schaefer A. Functional target volume delineation for radiation therapy on the basis of positron emission tomography and the correlation with histopathology. Q J Nucl Med Mol Imaging 2010; 54: 490-499.
32. Van Baardwijk A, Bosmans G, Boersma L et al. PETCT- based auto-contouring in non-small-cell lung cancer correlates with pathology and reduces interobserver variability in the delineation of the primary tumor and involved nodal volumes. Int J Radiat Oncol Biol Phys 2007; 68: 771-778.
33. Van Dalen JA, Hoffmann AL, Dicken V et al. A novel iterative method for lesion delineation and volumetric quantification with FDG PET. Nucl Med Commun 2007; 28: 485-493.
34. Watson C, Schaefer A, Luk WK, Kirsch CM. Clinical evaluation of single-photon attenuation correction for 3D whole body PET. IEEE Trans Nucl Sci 1999; 46: 1024-1031.
35. Zaidi H, El Naqa I. PET-guided delineation of radiation therapy treatment volumes: a survey of image segmentation techniques. Eur J Nucl Med Mol Imaging 2010; 37: 2165-2187.