2012
DOI: 10.1016/j.clon.2012.03.002
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Defining Target Volumes for Stereotactic Ablative Radiotherapy of Early-stage Lung Tumours: A Comparison of Three-dimensional 18F-fluorodeoxyglucose Positron Emission Tomography and Four-dimensional Computed Tomography

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Cited by 28 publications
(29 citation statements)
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“…Two different methods for doing this in practice have been established-(1) definition of the internal target volume (ITV) and (2) 21 The two methods take two quite different approaches to achieving the same goal-calculating an adequate CTV-to-PTV margin to account for the breathing motion observed in the 4DCT scan.…”
Section: Motion Management Strategiesmentioning
confidence: 99%
“…Two different methods for doing this in practice have been established-(1) definition of the internal target volume (ITV) and (2) 21 The two methods take two quite different approaches to achieving the same goal-calculating an adequate CTV-to-PTV margin to account for the breathing motion observed in the 4DCT scan.…”
Section: Motion Management Strategiesmentioning
confidence: 99%
“…Analogously, Hanna et al [25] compared volumes from a manual method and five automated PET segmentation techniques to 4DCT-derived ITV and found that none of the PET target volumes approximated closely to the 4DCT target volumes. However, in their study, the patient’s PET/CT and 4DCT scans were not acquired on the same day or in identical position.…”
Section: Discussionmentioning
confidence: 99%
“…However, in their study, the patient’s PET/CT and 4DCT scans were not acquired on the same day or in identical position. In this circumstance, it was possible that changes in tumor geometry or size occurred and potentially increased the likelihood of a mismatch between the PET-based contours and the 4DCT-based contours [25]. Caldwell et al [16] reported that using a threshold as low as 15% of the maximum value could account for respiratory motion and more accurately depict the true extension of the moving target.…”
Section: Discussionmentioning
confidence: 99%
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“…Perfect overlap yields a Dice coefficient value of 100%, whereas no overlap yields value of 0%. It is calculated as follows: Dice0.16667emcoefficient=2·normalNfalse(normalAnormalBfalse)normalNfalse(normalAfalse)+normalNfalse(normalBfalse) where N(A∩B) is the number of elements that intersect between set A and set B, N(A) is the number of elements in set A, and N(B) is the number of elements in set B [22]. …”
Section: Methodsmentioning
confidence: 99%