Page 169 - Quantitative Imaging of Small Tumours with Positron Emission Tomography
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                                Chapter 7 41. Mankoff DA, Dunnwald LK, Gralow JR, et al. Changes in blood flow and metabolism in locally advanced breast cancer treated with neoadjuvant chemotherapy. J Nucl Med. 2003;44:1806-1814. 42. Hatt M, Groheux D, Martineau A, et al. Comparison between 18F-FDG PET image-derived indices for early prediction of response to neoadjuvant chemotherapy in breast cancer. J Nucl Med. 2013;54:341- 349. 43. 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;52:619-626. 44. Maisonobe JA, Garcia CA, Necib H, et al. Comparison of PET metabolic indices for the early assessment of tumour response in metastatic colorectal cancer patients treated by polychemotherapy. Eur J Nucl Med Mol Imaging. 2013;40:166-174. 45. Anouan KJ, Lelandais B, Edet-Sanson A, et al. 18F-FDG-PET Partial volume effect correction using a modified recovery coefficient approach based on functional volume and local contrast: Physical validation and clinical feasibility in oncology. Q J Nucl Med Mol Imaging. 2015. 46. Lasnon C, Desmonts C, Quak E, et al. Harmonizing SUVs in multicentre trials when using different generation PET systems: prospective validation in non-small cell lung cancer patients. Eur J Nucl Med Mol Imaging. 2013;40:985-996. 47. Schouten CS, Hakim S, Boellaard R, et al. Interaction of quantitative F-FDG-PET-CT imaging parameters and human papillomavirus status in oropharyngeal squamous cell carcinoma. Head Neck. 2014. 48. Vesselle H, Freeman JD, Wiens L, et al. Fluorodeoxyglucose uptake of primary non-small cell lung cancer at positron emission tomography: new contrary data on prognostic role. Clin Cancer Res. 2007;13:3255-3263. 49. Stefano A, Gallivanone F, Messa C, Gilardi MC, Gastiglioni I. Metabolic impact of partial volume correction of [18F]FDG PET-CT oncological studies on the assessment of tumor response to treatment. Q J Nucl Med Mol Imaging. 2014;58:413-423. 50. Rousset O, Rahmim A, Alavi A, Zaidi H. Partial Volume Correction Strategies in PET. PET Clinics. 2007;2:235-249. 51. Bettinardi V, Castiglioni I, De Bernardi E, Gilardi MC. PET quantification: Strategies for partial volume correction. Clinical and Translational Imaging. 2014;2:199-218. 52. Cheebsumon P, Boellaard R, de Ruysscher D, et al. Assessment of tumour size in PET/CT lung cancer studies: PET- and CT-based methods compared to pathology. EJNMMI Res. 2012;2:56. 53. Guvenis A, Koc A. Optimising delineation accuracy of tumours in PET for radiotherapy planning using blind deconvolution. Radiat Prot Dosimetry. 2015;165:495-498. 54. Wallsten E, Axelsson J, Sundstrom T, Riklund K, Larsson A. Subcentimeter tumor lesion delineation for high-resolution 18F-FDG PET images: optimizing correction for partial-volume effects. J Nucl Med Technol. 2013;41:85-91. 168 


































































































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