Pulmonary abnormalities and PET data analysis: A retrospective study

Val J. Lowe; Francis G. Duhaylongsod; Edward F. Patz; David M. Delong; John M. Hoffman; Walter G. Wolfe; R. Edward Coleman

doi:10.1148/radiology.202.2.9015070

Pulmonary abnormalities and PET data analysis: A retrospective study

Val J. Lowe, Francis G. Duhaylongsod, Edward F. Patz, David M. Delong, John M. Hoffman, Walter G. Wolfe, R. Edward Coleman

Radiology

Research output: Contribution to journal › Article › peer-review

115 Scopus citations

Abstract

PURPOSE: To assess methods of standard uptake ratio (SUR) calculation with 2-deoxy-2-[fluorine-18]fluoro-D-glucose (FDG) positron emission tomography (PET) in indeterminate focal pulmonary abnormalities. MATERIALS AND METHODS: One hundred ninety-seven adult patients with indeterminate pulmonary abnormalities had complete FDG PET data, consistent methods of data acquisition, and definitive diagnosis with tissue biopsy or negative 2-year follow-up findings. PET studies were evaluated by using SURs calculated with the average or maximum region-of-interest pixel value in the numerator and with weight, lean body mass, or body surface area in the denominator. RESULTS: One hundred twenty malignant lesions and 77 benign processes were identified. Receiver operating characteristic (ROC) curve areas were statistically significantly larger with the average rather than the maximum pixel value in the calculation of the SUR for any of the three denominators (P ≤ .05). SURs calculated with weight versus lean body mass versus body surface area in the denominator showed no statistically significant difference in ROC curve areas. CONCLUSION: SURs determined by using average pixel values provide statistically significant improvement in ROC curve areas over those determined by using maximum pixel values. Weight, lean body mass, and body surface area in the denominator of the SUR calculation provide equivalent ROC curve areas and are therefore equivalent in accuracy in this population.

Original language	English (US)
Pages (from-to)	435-439
Number of pages	5
Journal	Radiology
Volume	202
Issue number	2
DOIs	https://doi.org/10.1148/radiology.202.2.9015070
State	Published - Feb 1997

Keywords

Emission CT (ECT)
Lung neoplasms, emission CT (ECT)
Lung neoplasms, radionuclide studies
Lung, abnormalities
Receiver operating characteristic curve (ROC)

ASJC Scopus subject areas

Radiology Nuclear Medicine and imaging

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10.1148/radiology.202.2.9015070

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title = "Pulmonary abnormalities and PET data analysis: A retrospective study",

abstract = "PURPOSE: To assess methods of standard uptake ratio (SUR) calculation with 2-deoxy-2-[fluorine-18]fluoro-D-glucose (FDG) positron emission tomography (PET) in indeterminate focal pulmonary abnormalities. MATERIALS AND METHODS: One hundred ninety-seven adult patients with indeterminate pulmonary abnormalities had complete FDG PET data, consistent methods of data acquisition, and definitive diagnosis with tissue biopsy or negative 2-year follow-up findings. PET studies were evaluated by using SURs calculated with the average or maximum region-of-interest pixel value in the numerator and with weight, lean body mass, or body surface area in the denominator. RESULTS: One hundred twenty malignant lesions and 77 benign processes were identified. Receiver operating characteristic (ROC) curve areas were statistically significantly larger with the average rather than the maximum pixel value in the calculation of the SUR for any of the three denominators (P ≤ .05). SURs calculated with weight versus lean body mass versus body surface area in the denominator showed no statistically significant difference in ROC curve areas. CONCLUSION: SURs determined by using average pixel values provide statistically significant improvement in ROC curve areas over those determined by using maximum pixel values. Weight, lean body mass, and body surface area in the denominator of the SUR calculation provide equivalent ROC curve areas and are therefore equivalent in accuracy in this population.",

keywords = "Emission CT (ECT), Lung neoplasms, emission CT (ECT), Lung neoplasms, radionuclide studies, Lung, abnormalities, Receiver operating characteristic curve (ROC)",

author = "Lowe, {Val J.} and Duhaylongsod, {Francis G.} and Patz, {Edward F.} and Delong, {David M.} and Hoffman, {John M.} and Wolfe, {Walter G.} and Coleman, {R. Edward}",

year = "1997",

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doi = "10.1148/radiology.202.2.9015070",

language = "English (US)",

volume = "202",

pages = "435--439",

journal = "Radiology",

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publisher = "Radiological Society of North America Inc.",

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T1 - Pulmonary abnormalities and PET data analysis

T2 - A retrospective study

AU - Lowe, Val J.

AU - Duhaylongsod, Francis G.

AU - Patz, Edward F.

AU - Delong, David M.

AU - Hoffman, John M.

AU - Wolfe, Walter G.

AU - Coleman, R. Edward

PY - 1997/2

Y1 - 1997/2

N2 - PURPOSE: To assess methods of standard uptake ratio (SUR) calculation with 2-deoxy-2-[fluorine-18]fluoro-D-glucose (FDG) positron emission tomography (PET) in indeterminate focal pulmonary abnormalities. MATERIALS AND METHODS: One hundred ninety-seven adult patients with indeterminate pulmonary abnormalities had complete FDG PET data, consistent methods of data acquisition, and definitive diagnosis with tissue biopsy or negative 2-year follow-up findings. PET studies were evaluated by using SURs calculated with the average or maximum region-of-interest pixel value in the numerator and with weight, lean body mass, or body surface area in the denominator. RESULTS: One hundred twenty malignant lesions and 77 benign processes were identified. Receiver operating characteristic (ROC) curve areas were statistically significantly larger with the average rather than the maximum pixel value in the calculation of the SUR for any of the three denominators (P ≤ .05). SURs calculated with weight versus lean body mass versus body surface area in the denominator showed no statistically significant difference in ROC curve areas. CONCLUSION: SURs determined by using average pixel values provide statistically significant improvement in ROC curve areas over those determined by using maximum pixel values. Weight, lean body mass, and body surface area in the denominator of the SUR calculation provide equivalent ROC curve areas and are therefore equivalent in accuracy in this population.

AB - PURPOSE: To assess methods of standard uptake ratio (SUR) calculation with 2-deoxy-2-[fluorine-18]fluoro-D-glucose (FDG) positron emission tomography (PET) in indeterminate focal pulmonary abnormalities. MATERIALS AND METHODS: One hundred ninety-seven adult patients with indeterminate pulmonary abnormalities had complete FDG PET data, consistent methods of data acquisition, and definitive diagnosis with tissue biopsy or negative 2-year follow-up findings. PET studies were evaluated by using SURs calculated with the average or maximum region-of-interest pixel value in the numerator and with weight, lean body mass, or body surface area in the denominator. RESULTS: One hundred twenty malignant lesions and 77 benign processes were identified. Receiver operating characteristic (ROC) curve areas were statistically significantly larger with the average rather than the maximum pixel value in the calculation of the SUR for any of the three denominators (P ≤ .05). SURs calculated with weight versus lean body mass versus body surface area in the denominator showed no statistically significant difference in ROC curve areas. CONCLUSION: SURs determined by using average pixel values provide statistically significant improvement in ROC curve areas over those determined by using maximum pixel values. Weight, lean body mass, and body surface area in the denominator of the SUR calculation provide equivalent ROC curve areas and are therefore equivalent in accuracy in this population.

KW - Emission CT (ECT)

KW - Lung neoplasms, emission CT (ECT)

KW - Lung neoplasms, radionuclide studies

KW - Lung, abnormalities

KW - Receiver operating characteristic curve (ROC)

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Pulmonary abnormalities and PET data analysis: A retrospective study

Abstract

Keywords

ASJC Scopus subject areas

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