2008
DOI: 10.1016/j.ijrobp.2008.07.061
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Impact of Manual and Automated Interpretation of Fused PET/CT Data on Esophageal Target Definitions in Radiation Planning

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Cited by 29 publications
(17 citation statements)
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References 22 publications
(37 reference statements)
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“…20 They also concluded that using fixed level thresholds do not produce accurate correlations between CT and PET findings and, furthermore, proposed a semi-automated algorithm that showed the best correlation, defined by the volumes determined as the pixel with the mean value plus 2-standard deviation of the liver intensity. 6 In the present study, PET-image volumes generated using GTV 2SD algorithm correlated very well with MR-image volumes; while weaker correlations were observed when PET-image volumes were generated applying 40%-and 50%-fixed threshold levels and compared with the ones from MR. One reason might be the SUV heterogeneity within the tumor, leading to erroneous volume estimates when fixed-threshold levels are used (either 40% or 50% of T max ). These T max cutoff values often underestimate the MR-derived tumor volume, as they only represent the most active areas of the tumor and not the metabolic activity over the entire tumor volume.…”
Section: Discussionsupporting
confidence: 50%
“…20 They also concluded that using fixed level thresholds do not produce accurate correlations between CT and PET findings and, furthermore, proposed a semi-automated algorithm that showed the best correlation, defined by the volumes determined as the pixel with the mean value plus 2-standard deviation of the liver intensity. 6 In the present study, PET-image volumes generated using GTV 2SD algorithm correlated very well with MR-image volumes; while weaker correlations were observed when PET-image volumes were generated applying 40%-and 50%-fixed threshold levels and compared with the ones from MR. One reason might be the SUV heterogeneity within the tumor, leading to erroneous volume estimates when fixed-threshold levels are used (either 40% or 50% of T max ). These T max cutoff values often underestimate the MR-derived tumor volume, as they only represent the most active areas of the tumor and not the metabolic activity over the entire tumor volume.…”
Section: Discussionsupporting
confidence: 50%
“…The FDG-PET-derived GTVs tended to be smaller than those outlined on computed tomography alone in some series [51–54] and significantly larger in others [55]. When a visual assessment of FDG-PET images fused with the planning computed tomography was integrated into treatment planning, the GTV was decreased by >25% in 12% of patients and increased by >25% in 6% of patients [56].…”
Section: Resultsmentioning
confidence: 99%
“…The most obvious way a GTV can be altered by the inclusion of PET images is through the inclusion of previously unrecognised involved lymph nodes [55] and a greater accuracy in defining tumour length. An absolute SUV threshold of 2.36 has been shown to have a sensitivity and specificity of 76.2% and 96.0%, respectively, in predicting positive nodal involvement [58].…”
Section: Resultsmentioning
confidence: 99%
“…The use of PET changed volumes for 84% of patients in a series from Boston. There were minor changes in 48% of cases, defined as a 1e2 cm difference at the superior or inferior extent of the primary tumour, and major changes in 36%, with more than a 2 cm difference in superior/inferior extent or identification of involved nodal regions beyond the longitudinal extent of the primary tumour [30]. An Australian series of 21 patients reported cranio-caudal discrepancies of up to 5.5 cm using hybrid PET-CT.…”
Section: Discussionmentioning
confidence: 99%