Skip to main content
Erschienen in: European Journal of Nuclear Medicine and Molecular Imaging 9/2011

01.09.2011 | Editorial Commentary

PET imaging for prediction of response to therapy and outcome in oesophageal carcinoma

verfasst von: Sue Chua, John Dickson, Ashley M. Groves

Erschienen in: European Journal of Nuclear Medicine and Molecular Imaging | Ausgabe 9/2011

Einloggen, um Zugang zu erhalten

Excerpt

Oesophageal carcinoma remains a major worldwide health challenge in the early twenty-first century. Five-year relative survival rates are highly stage dependent and range from up to 80% in stage I to less than 5% in stage IV [1]. Although resection, now usually preceded by neoadjuvant chemotherapy, is the only curative treatment option in most cases, associated mortality and morbidity rates remain high and accurate imaging of local invasion and regional nodal involvement is essential to guiding treatment. Using anatomical imaging techniques to assess local spread in oesophageal carcinoma is complicated by the inherent difficulties of visualizing an infiltrative tumour arising in a thin-walled structure, whose lymphatic drainage extends from cervical to abdominal nodal groups. Molecular imaging with 18F-fluorodeoxyglucose (FDG) positron emission tomography PET/CT has already proven a valuable addition to CT and endoscopic ultrasound in excluding distant metastatic spread which would preclude a curative therapeutic approach. …
Literatur
2.
Zurück zum Zitat Ott K, Weber WA, Lordick F, Becker K, Busch R, Herrmann K, et al. Metabolic imaging predicts response, survival, and recurrence in adenocarcinomas of the esophagogastric junction. J Clin Oncol 2006;24(29):4692–8.PubMedCrossRef Ott K, Weber WA, Lordick F, Becker K, Busch R, Herrmann K, et al. Metabolic imaging predicts response, survival, and recurrence in adenocarcinomas of the esophagogastric junction. J Clin Oncol 2006;24(29):4692–8.PubMedCrossRef
3.
Zurück zum Zitat Kwee RM. Prediction of tumor response to neoadjuvant therapy in patients with esophageal cancer with use of 18F FDG PET: a systematic review. Radiology 2010;254(3):707–17.PubMedCrossRef Kwee RM. Prediction of tumor response to neoadjuvant therapy in patients with esophageal cancer with use of 18F FDG PET: a systematic review. Radiology 2010;254(3):707–17.PubMedCrossRef
4.
Zurück zum Zitat Omloo JM, van Heijl M, Hoekstra OS, van Berge Henegouwen MI, van Lanschot JJ, Sloof GW. FDG-PET parameters as prognostic factor in esophageal cancer patients: a review. Ann Surg Oncol 2011 May 3. [Epub ahead of print] Omloo JM, van Heijl M, Hoekstra OS, van Berge Henegouwen MI, van Lanschot JJ, Sloof GW. FDG-PET parameters as prognostic factor in esophageal cancer patients: a review. Ann Surg Oncol 2011 May 3. [Epub ahead of print]
5.
Zurück zum Zitat Hautzel H, Müller-Gärtner HW. Early changes in fluorine-18-FDG uptake during radiotherapy. J Nucl Med 1997;38:1384–6.PubMed Hautzel H, Müller-Gärtner HW. Early changes in fluorine-18-FDG uptake during radiotherapy. J Nucl Med 1997;38:1384–6.PubMed
6.
Zurück zum Zitat Hatt M, Visvikis D, Pradier O, Cheze-le-Rest C. Baseline (18)F-FDG PET image-derived parameters for therapy response prediction in oesophageal cancer. Eur J Nucl Med Mol Imaging 2011. doi 10.1007/s00259-011-1834-9 Hatt M, Visvikis D, Pradier O, Cheze-le-Rest C. Baseline (18)F-FDG PET image-derived parameters for therapy response prediction in oesophageal cancer. Eur J Nucl Med Mol Imaging 2011. doi 10.​1007/​s00259-011-1834-9
7.
Zurück zum Zitat Wahl RL, Jacene H, Kasamon Y, Lodge MA. From RECIST to PERCIST: evolving considerations for PET response criteria in solid tumors. J Nucl Med 2009;50 Suppl 1:122S–50.PubMedCrossRef Wahl RL, Jacene H, Kasamon Y, Lodge MA. From RECIST to PERCIST: evolving considerations for PET response criteria in solid tumors. J Nucl Med 2009;50 Suppl 1:122S–50.PubMedCrossRef
8.
Zurück zum Zitat 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.PubMedCrossRef 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.PubMedCrossRef
9.
Zurück zum Zitat Grégoire V, Haustermans K, Geets X, Roels S, Lonneux M. PET-based treatment planning in radiotherapy: a new standard? J Nucl Med 2007;48 Suppl 1:68S–77.PubMed Grégoire V, Haustermans K, Geets X, Roels S, Lonneux M. PET-based treatment planning in radiotherapy: a new standard? J Nucl Med 2007;48 Suppl 1:68S–77.PubMed
10.
Zurück zum Zitat Nestle U, Kremp S, Schaefer-Schuler A, Sebastian-Welsch C, Hellwig D, Rübe C, 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;46:1342–8.PubMed Nestle U, Kremp S, Schaefer-Schuler A, Sebastian-Welsch C, Hellwig D, Rübe C, 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;46:1342–8.PubMed
11.
Zurück zum Zitat Biehl KJ, Kong FM, Dehdashti F, Jin JY, Mutic S, El Naga I, 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;47:1808–12.PubMed Biehl KJ, Kong FM, Dehdashti F, Jin JY, Mutic S, El Naga I, 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;47:1808–12.PubMed
12.
Zurück zum Zitat Hatt M, Visvikis D, Le Rest CC. Autocontouring versus manual contouring. J Nucl Med 2011;52(4):658.PubMedCrossRef Hatt M, Visvikis D, Le Rest CC. Autocontouring versus manual contouring. J Nucl Med 2011;52(4):658.PubMedCrossRef
13.
Zurück zum Zitat 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(11):2165–87.PubMedCrossRef 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(11):2165–87.PubMedCrossRef
14.
Zurück zum Zitat Hatt M, Cheze-Le Rest C, Aboagye EO, Kenny LM, Rosso L, Turkheimer FE, et al. Reproducibility of 18F-FDG and 3′-deoxy-3′-18F-fluorothymidine PET tumor volume measurements. J Nucl Med 2010;51(9):1368–76.PubMedCrossRef Hatt M, Cheze-Le Rest C, Aboagye EO, Kenny LM, Rosso L, Turkheimer FE, et al. Reproducibility of 18F-FDG and 3′-deoxy-3′-18F-fluorothymidine PET tumor volume measurements. J Nucl Med 2010;51(9):1368–76.PubMedCrossRef
15.
Zurück zum Zitat Geets X, Lee JA, Bol A, Lonneux M, Grégoire V. A gradient-based method for segmenting FDG-PET images: methodology and validation. Eur J Nucl Med Mol Imaging 2007;34:1427–38.PubMedCrossRef Geets X, Lee JA, Bol A, Lonneux M, Grégoire V. A gradient-based method for segmenting FDG-PET images: methodology and validation. Eur J Nucl Med Mol Imaging 2007;34:1427–38.PubMedCrossRef
16.
Zurück zum Zitat Pham DL, Prince JL. An adaptive fuzzy C-means algorithm for image segmentation in the presence of intensity inhomogeneities. Pattern Recognit Lett 1999;20:57–68.CrossRef Pham DL, Prince JL. An adaptive fuzzy C-means algorithm for image segmentation in the presence of intensity inhomogeneities. Pattern Recognit Lett 1999;20:57–68.CrossRef
17.
Zurück zum Zitat 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.PubMedCrossRef 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.PubMedCrossRef
18.
Zurück zum Zitat Hyun SH, Choi JY, Shim YM, Kim K, Lee SJ, Cho YS, et al. Prognostic value of metabolic tumor volume measured by 18F-fluorodeoxyglucose positron emission tomography in patients with esophageal carcinoma. Ann Surg Oncol 2010;17(1):115–22. Epub 2009 Oct 14.PubMedCrossRef Hyun SH, Choi JY, Shim YM, Kim K, Lee SJ, Cho YS, et al. Prognostic value of metabolic tumor volume measured by 18F-fluorodeoxyglucose positron emission tomography in patients with esophageal carcinoma. Ann Surg Oncol 2010;17(1):115–22. Epub 2009 Oct 14.PubMedCrossRef
19.
Zurück zum Zitat Choi JY, Jang HJ, Shim YM, Kim K, Lee KS, Lee KH, et al. 18F-FDG PET in patients with esophageal squamous cell carcinoma undergoing curative surgery: prognostic implications. J Nucl Med 2004;45(11):1843–50.PubMed Choi JY, Jang HJ, Shim YM, Kim K, Lee KS, Lee KH, et al. 18F-FDG PET in patients with esophageal squamous cell carcinoma undergoing curative surgery: prognostic implications. J Nucl Med 2004;45(11):1843–50.PubMed
20.
Zurück zum Zitat Yendamuri S, Swisher SG, Correa AM, Hofstetter W, Ajani JA, Francis A, et al. Esophageal tumor length is independently associated with long-term survival. Cancer 2009;115(3):508–16.PubMedCrossRef Yendamuri S, Swisher SG, Correa AM, Hofstetter W, Ajani JA, Francis A, et al. Esophageal tumor length is independently associated with long-term survival. Cancer 2009;115(3):508–16.PubMedCrossRef
21.
Zurück zum Zitat Mamede M, El Fakhri G, Abreu-e-Lima P, Gandler W, Nosé V, Gerbaudo VH. Pre-operative estimation of esophageal tumor metabolic length in FDG-PET images with surgical pathology confirmation. Ann Nucl Med 2007;21(10):553–62. Epub 2007 Dec 25.PubMedCrossRef Mamede M, El Fakhri G, Abreu-e-Lima P, Gandler W, Nosé V, Gerbaudo VH. Pre-operative estimation of esophageal tumor metabolic length in FDG-PET images with surgical pathology confirmation. Ann Nucl Med 2007;21(10):553–62. Epub 2007 Dec 25.PubMedCrossRef
22.
Zurück zum Zitat Wanet M, Lee JA, Weynand B, De Bast M, Poncelet A, Lacroix V, 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;98:117–25.PubMedCrossRef Wanet M, Lee JA, Weynand B, De Bast M, Poncelet A, Lacroix V, 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;98:117–25.PubMedCrossRef
23.
Zurück zum Zitat Kadrmas DJ, Casey ME, Conti M, Jakoby BW, Lois C, Townsend DW. Impact of time-of-flight on PET tumor detection. J Nucl Med 2009;50:1315–23.PubMedCrossRef Kadrmas DJ, Casey ME, Conti M, Jakoby BW, Lois C, Townsend DW. Impact of time-of-flight on PET tumor detection. J Nucl Med 2009;50:1315–23.PubMedCrossRef
24.
Zurück zum Zitat Wu K, Ung YC, Hwang D, Tsao MS, Darling G, Maziak DE, et al. Autocontouring and manual contouring: which is the better method for target delineation using 18F-FDG PET/CT in non-small cell lung cancer ? J Nucl Med 2010;51:1517–23.PubMedCrossRef Wu K, Ung YC, Hwang D, Tsao MS, Darling G, Maziak DE, et al. Autocontouring and manual contouring: which is the better method for target delineation using 18F-FDG PET/CT in non-small cell lung cancer ? J Nucl Med 2010;51:1517–23.PubMedCrossRef
25.
Zurück zum Zitat Hatt M, Visvikis D. Defining radiotherapy target volumes using 18F-fluoro-deoxy-glucose positron emission tomography: still a Pandora’s box?: in regard to Devic et al. (Int J Radiat Oncol Biol Phys 2010). Int J Radiat Oncol Biol Phys 2010;78(5):1605.PubMed Hatt M, Visvikis D. Defining radiotherapy target volumes using 18F-fluoro-deoxy-glucose positron emission tomography: still a Pandora’s box?: in regard to Devic et al. (Int J Radiat Oncol Biol Phys 2010). Int J Radiat Oncol Biol Phys 2010;78(5):1605.PubMed
26.
Zurück zum Zitat Tixier F, Le Rest CC, Hatt M, Albarghach N, Pradier O, Metges JP, et al. Intratumor heterogeneity characterized by textural features on baseline 18F-FDG PET images predicts response to concomitant radiochemotherapy in esophageal cancer. J Nucl Med 2011;52(3):369–78.PubMedCrossRef Tixier F, Le Rest CC, Hatt M, Albarghach N, Pradier O, Metges JP, et al. Intratumor heterogeneity characterized by textural features on baseline 18F-FDG PET images predicts response to concomitant radiochemotherapy in esophageal cancer. J Nucl Med 2011;52(3):369–78.PubMedCrossRef
27.
Zurück zum Zitat El Naqa I, Grigsby PW, Apte A, Kidd E, Donnelly E, Khullar D, et al. Exploring feature-based approaches in PET images for predicting cancer treatment outcomes. Pattern Recognit 2009;42:1162–71.PubMedCrossRef El Naqa I, Grigsby PW, Apte A, Kidd E, Donnelly E, Khullar D, et al. Exploring feature-based approaches in PET images for predicting cancer treatment outcomes. Pattern Recognit 2009;42:1162–71.PubMedCrossRef
28.
Zurück zum Zitat Eary JF, O’Sullivan F, O’Sullivan J, Conrad EU. Spatial heterogeneity in sarcoma 18F-FDG uptake as a predictor of patient outcome. J Nucl Med 2008;49:1973–9.PubMedCrossRef Eary JF, O’Sullivan F, O’Sullivan J, Conrad EU. Spatial heterogeneity in sarcoma 18F-FDG uptake as a predictor of patient outcome. J Nucl Med 2008;49:1973–9.PubMedCrossRef
29.
Zurück zum Zitat Lee HY, Hyun SH, Lee KS, Kim BT, Kim J, Shim YM, et al. Volume-based parameter of 18)F-FDG PET/CT in malignant pleural mesothelioma: prediction of therapeutic response and prognostic implications. Ann Surg Oncol 2010;17(10):2787–94.PubMedCrossRef Lee HY, Hyun SH, Lee KS, Kim BT, Kim J, Shim YM, et al. Volume-based parameter of 18)F-FDG PET/CT in malignant pleural mesothelioma: prediction of therapeutic response and prognostic implications. Ann Surg Oncol 2010;17(10):2787–94.PubMedCrossRef
Metadaten
Titel
PET imaging for prediction of response to therapy and outcome in oesophageal carcinoma
verfasst von
Sue Chua
John Dickson
Ashley M. Groves
Publikationsdatum
01.09.2011
Verlag
Springer-Verlag
Erschienen in
European Journal of Nuclear Medicine and Molecular Imaging / Ausgabe 9/2011
Print ISSN: 1619-7070
Elektronische ISSN: 1619-7089
DOI
https://doi.org/10.1007/s00259-011-1858-1

Weitere Artikel der Ausgabe 9/2011

European Journal of Nuclear Medicine and Molecular Imaging 9/2011 Zur Ausgabe