2001
DOI: 10.1097/00006231-200110000-00004
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Evaluation of various corrections to the standardized uptake value for diagnosis of pulmonary malignancy

Abstract: The accuracy of SUV analysis for malignancy in lung nodules/masses is not improved by correction for blood glucose or tumour size or by normalizing for body surface area or lean body weight instead of body weight.

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Cited by 52 publications
(42 citation statements)
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“…body mass (including fat tissue content, which accumulates less marker) [9,10], blood glucose level (hyperglycaemia may cause increased marker uptake and may lead to unreliable results) [11,12], the time of the examination in relation to administration of the marker [13,14] and the size of lesion [15,16]. Due to the presented limitations, while describing the lesion it is important to take into consideration both visual evaluation and SUV max on PET-CT, and the morphology of the lesion on computed tomography.…”
Section: Discussionmentioning
confidence: 99%
“…body mass (including fat tissue content, which accumulates less marker) [9,10], blood glucose level (hyperglycaemia may cause increased marker uptake and may lead to unreliable results) [11,12], the time of the examination in relation to administration of the marker [13,14] and the size of lesion [15,16]. Due to the presented limitations, while describing the lesion it is important to take into consideration both visual evaluation and SUV max on PET-CT, and the morphology of the lesion on computed tomography.…”
Section: Discussionmentioning
confidence: 99%
“…This quantity is justified only when the background itself is not subject to For simplicity, several investigators adopted this concept and applied formulations derived by Hoffman and Kessler to clinical data to achieve more accurate assessment of relevant parameters (eg, to correct for brain atrophy) [16]. The technique is used commonly in clinical oncology when a priori information about the tumor (ie, a spherical shape of known size) is available [13,[17][18][19][20]. The approach is limited, however, by the crude approximations involved, and more sophisticated techniques were sought.…”
Section: Recovery Coefficient Methodsmentioning
confidence: 99%
“…The most straightforward approach uses a set of precalculated recovery coefficients for more reliable estimates of the SUV in pulmonary lesions [20,74,75] and breast cancer [76]. The bias affecting estimates of tumor-to-background ratio resulting from the PVE is dependent on lesion size.…”
Section: Clinical and Research Applications Of Partial Volume Correctionmentioning
confidence: 99%
“…97,98 The bias affecting TBR estimates owing to PVE is lesion size dependent. The generally accepted criterion is that PVC is required if the lesion size is less than 2-3 times the spatial resolution (FWHM) of the imaging system when the parameter of interest is the maximum voxel value within a particular VoI.…”
Section: Oncology Imagingmentioning
confidence: 99%