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Items: 1 to 20 of 98

1.

Does pre-operative estimation of oesophageal tumour metabolic length using 18F-fluorodeoxyglucose PET/CT images compare with surgical pathology length?

Jeganathan R, McGuigan J, Campbell F, Lynch T.

Eur J Nucl Med Mol Imaging. 2011 Apr;38(4):656-62. doi: 10.1007/s00259-010-1670-3. Epub 2010 Dec 16.

PMID:
21161213
2.

Intra-tumour 18F-FDG uptake heterogeneity decreases the reliability on target volume definition with positron emission tomography/computed tomography imaging.

Dong X, Wu P, Sun X, Li W, Wan H, Yu J, Xing L.

J Med Imaging Radiat Oncol. 2015 Jun;59(3):338-45. doi: 10.1111/1754-9485.12289. Epub 2015 Feb 23.

PMID:
25708154
3.

Using 18F-fluorodeoxyglucose positron emission tomography to estimate the length of gross tumor in patients with squamous cell carcinoma of the esophagus.

Zhong X, Yu J, Zhang B, Mu D, Zhang W, Li D, Han A, Song P, Li H, Yang G, Kong FM, Fu Z.

Int J Radiat Oncol Biol Phys. 2009 Jan 1;73(1):136-41. doi: 10.1016/j.ijrobp.2008.04.015. Epub 2008 Jun 4.

PMID:
18538492
4.

Sequential FDG-PET/CT reliably predicts response of locally advanced rectal cancer to neo-adjuvant chemo-radiation therapy.

Capirci C, Rampin L, Erba PA, Galeotti F, Crepaldi G, Banti E, Gava M, Fanti S, Mariani G, Muzzio PC, Rubello D.

Eur J Nucl Med Mol Imaging. 2007 Oct;34(10):1583-93. Epub 2007 May 15.

PMID:
17503039
5.

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?

Biehl KJ, Kong FM, Dehdashti F, Jin JY, Mutic S, El Naqa I, Siegel BA, Bradley JD.

J Nucl Med. 2006 Nov;47(11):1808-12.

6.

Role of positron emission tomography-computed tomography in predicting survival after neoadjuvant chemotherapy and surgery for oesophageal adenocarcinoma.

Gillies RS, Middleton MR, Han C, Marshall RE, Maynard ND, Bradley KM, Gleeson FV.

Br J Surg. 2012 Feb;99(2):239-45.

PMID:
22329010
7.

The clinical application of 4D 18F-FDG PET/CT on gross tumor volume delineation for radiotherapy planning in esophageal squamous cell cancer.

Wang YC, Hsieh TC, Yu CY, Yen KY, Chen SW, Yang SN, Chien CR, Hsu SM, Pan T, Kao CH, Liang JA.

J Radiat Res. 2012 Jul;53(4):594-600. doi: 10.1093/jrr/rrs009. Epub 2012 Jun 5.

8.

Improving observer variability in target delineation for gastro-oesophageal cancer--the role of (18F)fluoro-2-deoxy-D-glucose positron emission tomography/computed tomography.

Vesprini D, Ung Y, Dinniwell R, Breen S, Cheung F, Grabarz D, Kamra J, Mah K, Mansouri A, Pond G, Brock K, Darling G, Knox J, Haider M, Wong RK.

Clin Oncol (R Coll Radiol). 2008 Oct;20(8):631-8. doi: 10.1016/j.clon.2008.06.004. Epub 2008 Aug 27.

PMID:
18755578
9.

The contribution of integrated PET/CT to the evolving definition of treatment volumes in radiation treatment planning in lung cancer.

Ashamalla H, Rafla S, Parikh K, Mokhtar B, Goswami G, Kambam S, Abdel-Dayem H, Guirguis A, Ross P, Evola A.

Int J Radiat Oncol Biol Phys. 2005 Nov 15;63(4):1016-23. Epub 2005 Jun 24.

PMID:
15979817
10.

Comparison of (18)F-fluorothymidine and (18)F-fluorodeoxyglucose PET/CT in delineating gross tumor volume by optimal threshold in patients with squamous cell carcinoma of thoracic esophagus.

Han D, Yu J, Yu Y, Zhang G, Zhong X, Lu J, Yin Y, Fu Z, Mu D, Zhang B, He W, Huo Z, Liu X, Kong L, Zhao S, Sun X.

Int J Radiat Oncol Biol Phys. 2010 Mar 15;76(4):1235-41. doi: 10.1016/j.ijrobp.2009.07.1681. Epub 2009 Nov 10.

PMID:
19910143
11.

Metabolic response at repeat PET/CT predicts pathological response to neoadjuvant chemotherapy in oesophageal cancer.

Gillies RS, Middleton MR, Blesing C, Patel K, Warner N, Marshall RE, Maynard ND, Bradley KM, Gleeson FV.

Eur Radiol. 2012 Sep;22(9):2035-43. doi: 10.1007/s00330-012-2459-5. Epub 2012 May 5.

PMID:
22562089
12.

Tumour delineation in oesophageal cancer - A prospective study of delineation in PET and CT with and without endoscopically placed clip markers.

Thomas L, Lapa C, Bundschuh RA, Polat B, Sonke JJ, Guckenberger M.

Radiother Oncol. 2015 Aug;116(2):269-75. doi: 10.1016/j.radonc.2015.07.007. Epub 2015 Sep 10.

PMID:
26364886
13.

PET-CT offers accurate assessment of tumour length in oesophageal malignancy.

Rollins KE, Lucas E, Tewari N, James E, Hughes S, Catton JA.

Eur J Radiol. 2015 Feb;84(2):195-200. doi: 10.1016/j.ejrad.2014.10.014. Epub 2014 Nov 1.

PMID:
25435270
14.

Pre-operative estimation of esophageal tumor metabolic length in FDG-PET images with surgical pathology confirmation.

Mamede M, El Fakhri G, Abreu-e-Lima P, Gandler W, Nosé V, Gerbaudo VH.

Ann Nucl Med. 2007 Dec;21(10):553-62. Epub 2007 Dec 25.

PMID:
18092131
15.

Prediction of occult lymph node metastasis by metabolic parameters in patients with clinically N0 esophageal squamous cell carcinoma.

Moon SH, Kim HS, Hyun SH, Choi YS, Zo JI, Shim YM, Lee KH, Kim BT, Choi JY.

J Nucl Med. 2014 May;55(5):743-8. doi: 10.2967/jnumed.113.130716. Epub 2014 Apr 3.

16.

The value of liver-based standardized uptake value and other quantitative 18F-FDG PET-CT parameters in neoadjuvant therapy response in patients with locally advanced rectal cancer: correlation with histopathology.

Koç M, Kaya GÇ, Demir Y, Sürücü E, Sarioğlu S, Obuz F, Öztop İ, Görken İB, Sökmen S.

Nucl Med Commun. 2015 Sep;36(9):898-907. doi: 10.1097/MNM.0000000000000342.

PMID:
25969176
17.

Tumour length measured on PET-CT predicts the most appropriate stage-dependent therapeutic approach in oesophageal cancer.

Roedl JB, Sahani DV, Colen RR, Fischman AJ, Mueller PR, Blake MA.

Eur Radiol. 2008 Dec;18(12):2833-40. doi: 10.1007/s00330-008-1078-7. Epub 2008 Jul 24.

PMID:
18651155
19.

Can FDG PET predict radiation treatment outcome in head and neck cancer? Results of a prospective study.

Schinagl DA, Span PN, Oyen WJ, Kaanders JH.

Eur J Nucl Med Mol Imaging. 2011 Aug;38(8):1449-58. doi: 10.1007/s00259-011-1789-x. Epub 2011 Apr 2.

20.

Has integrated 18F FDG PET/CT improved staging, reduced early recurrence or increased survival in oesophageal cancer?

Torrance AD, Almond LM, Fry J, Wadley MS, Lyburn ID.

Surgeon. 2015 Feb;13(1):19-33. doi: 10.1016/j.surge.2013.09.002. Epub 2013 Oct 24.

PMID:
24206935

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