[en] PET/CT imaging could improve delineation of rectal carcinoma gross tumor volume (GTV) and reduce interobserver variability. The objective of this work was to compare various functional volume delineation algorythms.
Disciplines :
Gastroenterology & hepatology Radiology, nuclear medicine & imaging Oncology
Author, co-author :
WITHOFS, Nadia ; Centre Hospitalier Universitaire de Liège - CHU > Médecine nucléaire et imagerie oncologique
BERNARD, Claire ; Centre Hospitalier Universitaire de Liège - CHU > Médecine nucléaire et imagerie oncologique
VAN DER REST, Catherine ; Centre Hospitalier Universitaire de Liège - CHU > Médecine nucléaire et imagerie oncologique
MARTINIVE, Philippe ; Centre Hospitalier Universitaire de Liège - CHU > Radiothérapie
HATT, Mathieu; Institut National de la Santé et de la Recherche Médicale - INSERM
JODOGNE, Sébastien ; Centre Hospitalier Universitaire de Liège - CHU > Département Physique Médicale
VISVIKIS, Dimitri; Institut National de la Santé et de la Recherche Médicale - INSERM
LEE, John A.; Institut de Recherche Expérimentale et Clinique - Université Catholique de Louvain - Belgique
COUCKE, Philippe ; Centre Hospitalier Universitaire de Liège - CHU > Radiothérapie
HUSTINX, Roland ; Centre Hospitalier Universitaire de Liège - CHU > Médecine nucléaire et imagerie oncologique
Language :
English
Title :
FDG PET/CT for rectal carcinoma radiotherapy treatment planning : Comparison of functional volume delineation algorithms and clinical challenges.
Hatt M, Cheze-le Rest C, van Baardwijk A, Lambin P, Pradier O, Visvikis D. Impact of tumor size and tracer uptake heterogeneity in (18)F-FDG PET and CT non-small cell lung cancer tumor delineation. J Nucl Med. 2011;52(11):1690-97.
Brambilla M, Matheoud R, Secco C, Loi G, Krengli M, Inglese E. Threshold segmentation for PET target volume delineation in radiation treatment planning: the role of target-to-background ratio and target size. Med Phys. 2008;35(4):1207-13.
Cheebsumon P, Yaqub M, van Velden FH, Hoekstra OS, Lammertsma AA, Boellaard R. Impact of [(18)F]FDG PET imaging parameters on automatic tumour delineation: need for improved tumour delineation methodology. Eur J Nucl Med Mol Imaging. 2011;38(12):2136-44.
Matheoud R, Della Monica P, Loi G, et al. Influence of reconstruction settings on the performance of adaptive thresholding algorithms for FDG-PET image segmentation in radiotherapy planning. J Appl Clin Med Phys. 2011;12(2):3363.
Biehl KJ, Kong FM, Dehdashti F, et al. 18F-FDG PET definition of gross tumor volume for radiotherapy of non-small cell lung cancer: is a single standardized uptake value threshold approach appropriate? J Nucl Med. 2006;47(11):1808-12.
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(8):1342-48.
Daisne JF, Sibomana M, Bol A, Doumont T, Lonneux M, Gregoire V. Tri-dimensional automatic segmentation of PET volumes based on measured source-to-background ratios: influence of reconstruction algorithms. Radiother Oncol. 2003;69(3):247-50.
Geets X, Lee JA, Bol A, Lonneux M, Gregoire V. A gradient-based method for segmenting FDG-PET images: methodology and validation. Eur J Nucl Med Mol Imaging. 2007;34(9):1427-38.
Hatt M, Cheze le Rest C, Turzo A, Roux C, Visvikis D. A fuzzy locally adaptive Bayesian segmentation approach for volume determination in PET. IEEE Trans Med Imaging. 2009;28(6):881-93.
Hatt M, Cheze Le Rest C, Albarghach N, Pradier O, Visvikis D. PET functional volume delineation: a robustness and repeatability study. Eur J Nucl Med Mol Imaging. 2011;38(4):663-72.
Werner-Wasik M, Nelson AD, Choi W, et al. What is the best way to contour lung tumors on PET scans? Multiobserver validation of a gradient-based method using a NSCLC digital PET phantom. Int J Radiat Oncol Biol Phys. 2012;82(3):1164-71.
Wanet M, Lee JA, Weynand B, et al. Gradient-based delineation of the primary GTV on FDG-PET in non-small cell lung cancer: a comparison with threshold-based approaches, CT and surgical specimens. Radiother Oncol. 2011;98(1):117-25.
Fletcher JW, Djulbegovic B, Soares HP, et al. Recommendations on the use of 18F-FDG PET in oncology. J Nucl Med. 2008;49(3):480-508.
Anderson C, Koshy M, Staley C, et al. PET-CT fusion in radiation management of patients with anorectal tumors. Int J Radiat Oncol Biol Phys. 2007;69(1):155-62.
Bassi MC, Turri L, Sacchetti G, et al. FDG-PET/CT imaging for staging and target volume delineation in preoperative conformal radiotherapy of rectal cancer. Int J Radiat Oncol Biol Phys. 2008;70(5):1423-26.
Buijsen J, van den Bogaard J, van der Weide H, et al. FDG-PET-CT reduces the interobserver variability in rectal tumor delineation. Radiother Oncol. 2012;102(3):371-76.
Edge SB BD, Compton CC, Fritz AG, Greene FL, Trotti A. AJCC Cancer Staging Manual, 7th edition. New York, NY: Springer; 2010.
Day E, Betler J, Parda D, et al. A region growing method for tumor volume segmentation on PET images for rectal and anal cancer patients. Med Phys. 2009;36(10):4349-58.
Jingu K, Ariga H, Kaneta T, et al. Focal dose escalation using FDG-PET-guided intensity-modulated radiation therapy boost for postoperative local recurrent rectal cancer: a planning study with comparison of DVH and NTCP. BMC Cancer. 2010;10:127.
Niyazi M, Geisler J, Siefert A, et al. FET-PET for malignant glioma treatment planning. Radiother Oncol. 2011;99(1):44-48.
Van den Broeck A, Vankelecom H, Van Eijsden R, Govaere O, Topal B. Molecular markers associated with outcome and metastasis in human pancreatic cancer. J Exp Clin Cancer Res. 2012;31:68.
Muralidharan V, Kwok M, Lee ST, Lau L, Scott AM, Christophi C. Prognostic ability of 18F-FDG PET/CT in the assessment of colorectal liver metastases. J Nucl Med. 2012;53(9):1345-51.
Krengli M, Cannillo B, Turri L, et al. Target volume delineation for preoperative radiotherapy of rectal cancer: inter-observer variability and potential impact of FDG-PET/CT imaging. Technol Cancer Res Treat. 2010;9(4):393-98.
Hatt M, van Stiphout R, le Pogam A, Lammering G, Visvikis D, Lambin P. Early prediction of pathological response in locally advanced rectal cancer based on sequential 18F-FDG PET. Acta Oncol. 2013;52(3):619-26.
Buijsen J, van den Bogaard J, Janssen MH, et al. FDG-PET provides the best correlation with the tumor specimen compared to MRI and CT in rectal cancer. Radiother Oncol. 2011;98(2):270-76.
Siedschlag C, van Loon J, van Baardwijk A, et al. Analysis of the relative deformation of lung lobes before and after surgery in patients with NSCLC. Phys Med Biol. 2009;54(18):5483-92.
Summers RM. Polyp size measurement at CT colonography: what do we know and what do we need to know? Radiology. 2010;255(3):707-20.
Ryan R, Gibbons D, Hyland JM, et al. Pathological response following long-course neoadjuvant chemoradiotherapy for locally advanced rectal cancer. Histopathology. 2005;47(2):141-46.
Roels S, Duthoy W, Haustermans K, et al. Definition and delineation of the clinical target volume for rectal cancer. Int J Radiat Oncol Biol Phys. 2006;65(4):1129-42.
Haustermans K, Debucquoy A, Lambrecht M. The ESTRO Breur Lecture 2010: toward a tailored patient approach in rectal cancer. Radiother Oncol. 2011;100(1):15-21.
Prieto E, Lecumberri P, Pagola M, et al. Twelve automated thresholding methods for segmentation of PET images: a phantom study. Phys Med Biol. 2012;57(12):3963-80.