ROC and localization ROC analyses of lesion detection in whole-body FDG PET

Effects of acquisition mode, attenuation correction and reconstruction algorithm

Thomas H. Farquhar, Jorge Llacer, Carl K. Hoh, Johannes Czernin, Sanjiv S. Gambhir, Marc A. Seltzer, Daniel H S Silverman, Jinyi Qi, Chinghan Hsu, Edward J. Hoffman

Research output: Contribution to journalArticle

51 Citations (Scopus)

Abstract

Receiver operating characteristic (ROC) and localization ROC (LROC) studies were performed to compare lesion detection at the borderline of detectability on images reconstructed with two-dimensional filtered backprojection (FBP) without attenuation correction (a common clinical protocol), three-dimensional FBP without attenuation correction, two- dimensional FBP with segmented attenuation correction and a two-dimensional iterative maximum a posteriori (MAP) algorithm using attenuation correction. Lung cancer was the model for the study because of the prominent role of 18F-fluorodeoxyglucose PET in the staging of lung cancer and the importance of lesion detection for staging. Methods: Simulated lung cancer lesions were added to two-dimensional and three-dimensional PET data from healthy volunteers. Data were reconstructed using the four methods. Four nuclear medicine physicians evaluated the images. Detection performance with each method was compared using ROC and LROC analysis. Jackknife analysis provided estimates of statistical significance for differences across all readers for the ROC results. Results: ROC and LROC results indicated statistically significant degradation in detection performance with three-dimensional acquisition (average area under ROC curves [A(z)] 0.51; average area under LROC curves [A(z,LROC)] 0.13) and segmented attenuation correction (average A(z) 0.59; average A(z,LROC) 0.29) compared with two-dimensional FBP without attenuation correction (average A(z) 0.79; average A(z,LROC) 0.54). ROC and LROC results indicated an improvement in detection performance with iterative MAP reconstruction (average A(z) 0.83; average A(z,LROC) 0.64) compared with two-dimensional FBP reconstruction; this improvement was not statistically significant. Conclusion: Use of segmented attenuation correction or three- dimensional acquisition with FBP reconstruction is not expected to improve detection of lung lesions on whole-body PET images compared with images with two-dimensional FBP without attenuation correction. The potential improvement in detection obtained with an iterative MAP reconstruction method is small compared with that obtained with two-dimensional FBP without attenuation correction.

Original languageEnglish (US)
Pages (from-to)2043-2052
Number of pages10
JournalJournal of Nuclear Medicine
Volume40
Issue number12
StatePublished - Dec 1999
Externally publishedYes

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ROC Curve
Lung Neoplasms
Body Image
Nuclear Medicine
Fluorodeoxyglucose F18
Clinical Protocols
Healthy Volunteers
Physicians
Lung

Keywords

  • Lesion detection
  • Lung cancer
  • PET
  • Receiver operating characteristic analysis

ASJC Scopus subject areas

  • Radiological and Ultrasound Technology

Cite this

Farquhar, T. H., Llacer, J., Hoh, C. K., Czernin, J., Gambhir, S. S., Seltzer, M. A., ... Hoffman, E. J. (1999). ROC and localization ROC analyses of lesion detection in whole-body FDG PET: Effects of acquisition mode, attenuation correction and reconstruction algorithm. Journal of Nuclear Medicine, 40(12), 2043-2052.

ROC and localization ROC analyses of lesion detection in whole-body FDG PET : Effects of acquisition mode, attenuation correction and reconstruction algorithm. / Farquhar, Thomas H.; Llacer, Jorge; Hoh, Carl K.; Czernin, Johannes; Gambhir, Sanjiv S.; Seltzer, Marc A.; Silverman, Daniel H S; Qi, Jinyi; Hsu, Chinghan; Hoffman, Edward J.

In: Journal of Nuclear Medicine, Vol. 40, No. 12, 12.1999, p. 2043-2052.

Research output: Contribution to journalArticle

Farquhar, TH, Llacer, J, Hoh, CK, Czernin, J, Gambhir, SS, Seltzer, MA, Silverman, DHS, Qi, J, Hsu, C & Hoffman, EJ 1999, 'ROC and localization ROC analyses of lesion detection in whole-body FDG PET: Effects of acquisition mode, attenuation correction and reconstruction algorithm', Journal of Nuclear Medicine, vol. 40, no. 12, pp. 2043-2052.
Farquhar, Thomas H. ; Llacer, Jorge ; Hoh, Carl K. ; Czernin, Johannes ; Gambhir, Sanjiv S. ; Seltzer, Marc A. ; Silverman, Daniel H S ; Qi, Jinyi ; Hsu, Chinghan ; Hoffman, Edward J. / ROC and localization ROC analyses of lesion detection in whole-body FDG PET : Effects of acquisition mode, attenuation correction and reconstruction algorithm. In: Journal of Nuclear Medicine. 1999 ; Vol. 40, No. 12. pp. 2043-2052.
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abstract = "Receiver operating characteristic (ROC) and localization ROC (LROC) studies were performed to compare lesion detection at the borderline of detectability on images reconstructed with two-dimensional filtered backprojection (FBP) without attenuation correction (a common clinical protocol), three-dimensional FBP without attenuation correction, two- dimensional FBP with segmented attenuation correction and a two-dimensional iterative maximum a posteriori (MAP) algorithm using attenuation correction. Lung cancer was the model for the study because of the prominent role of 18F-fluorodeoxyglucose PET in the staging of lung cancer and the importance of lesion detection for staging. Methods: Simulated lung cancer lesions were added to two-dimensional and three-dimensional PET data from healthy volunteers. Data were reconstructed using the four methods. Four nuclear medicine physicians evaluated the images. Detection performance with each method was compared using ROC and LROC analysis. Jackknife analysis provided estimates of statistical significance for differences across all readers for the ROC results. Results: ROC and LROC results indicated statistically significant degradation in detection performance with three-dimensional acquisition (average area under ROC curves [A(z)] 0.51; average area under LROC curves [A(z,LROC)] 0.13) and segmented attenuation correction (average A(z) 0.59; average A(z,LROC) 0.29) compared with two-dimensional FBP without attenuation correction (average A(z) 0.79; average A(z,LROC) 0.54). ROC and LROC results indicated an improvement in detection performance with iterative MAP reconstruction (average A(z) 0.83; average A(z,LROC) 0.64) compared with two-dimensional FBP reconstruction; this improvement was not statistically significant. Conclusion: Use of segmented attenuation correction or three- dimensional acquisition with FBP reconstruction is not expected to improve detection of lung lesions on whole-body PET images compared with images with two-dimensional FBP without attenuation correction. The potential improvement in detection obtained with an iterative MAP reconstruction method is small compared with that obtained with two-dimensional FBP without attenuation correction.",
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T1 - ROC and localization ROC analyses of lesion detection in whole-body FDG PET

T2 - Effects of acquisition mode, attenuation correction and reconstruction algorithm

AU - Farquhar, Thomas H.

AU - Llacer, Jorge

AU - Hoh, Carl K.

AU - Czernin, Johannes

AU - Gambhir, Sanjiv S.

AU - Seltzer, Marc A.

AU - Silverman, Daniel H S

AU - Qi, Jinyi

AU - Hsu, Chinghan

AU - Hoffman, Edward J.

PY - 1999/12

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N2 - Receiver operating characteristic (ROC) and localization ROC (LROC) studies were performed to compare lesion detection at the borderline of detectability on images reconstructed with two-dimensional filtered backprojection (FBP) without attenuation correction (a common clinical protocol), three-dimensional FBP without attenuation correction, two- dimensional FBP with segmented attenuation correction and a two-dimensional iterative maximum a posteriori (MAP) algorithm using attenuation correction. Lung cancer was the model for the study because of the prominent role of 18F-fluorodeoxyglucose PET in the staging of lung cancer and the importance of lesion detection for staging. Methods: Simulated lung cancer lesions were added to two-dimensional and three-dimensional PET data from healthy volunteers. Data were reconstructed using the four methods. Four nuclear medicine physicians evaluated the images. Detection performance with each method was compared using ROC and LROC analysis. Jackknife analysis provided estimates of statistical significance for differences across all readers for the ROC results. Results: ROC and LROC results indicated statistically significant degradation in detection performance with three-dimensional acquisition (average area under ROC curves [A(z)] 0.51; average area under LROC curves [A(z,LROC)] 0.13) and segmented attenuation correction (average A(z) 0.59; average A(z,LROC) 0.29) compared with two-dimensional FBP without attenuation correction (average A(z) 0.79; average A(z,LROC) 0.54). ROC and LROC results indicated an improvement in detection performance with iterative MAP reconstruction (average A(z) 0.83; average A(z,LROC) 0.64) compared with two-dimensional FBP reconstruction; this improvement was not statistically significant. Conclusion: Use of segmented attenuation correction or three- dimensional acquisition with FBP reconstruction is not expected to improve detection of lung lesions on whole-body PET images compared with images with two-dimensional FBP without attenuation correction. The potential improvement in detection obtained with an iterative MAP reconstruction method is small compared with that obtained with two-dimensional FBP without attenuation correction.

AB - Receiver operating characteristic (ROC) and localization ROC (LROC) studies were performed to compare lesion detection at the borderline of detectability on images reconstructed with two-dimensional filtered backprojection (FBP) without attenuation correction (a common clinical protocol), three-dimensional FBP without attenuation correction, two- dimensional FBP with segmented attenuation correction and a two-dimensional iterative maximum a posteriori (MAP) algorithm using attenuation correction. Lung cancer was the model for the study because of the prominent role of 18F-fluorodeoxyglucose PET in the staging of lung cancer and the importance of lesion detection for staging. Methods: Simulated lung cancer lesions were added to two-dimensional and three-dimensional PET data from healthy volunteers. Data were reconstructed using the four methods. Four nuclear medicine physicians evaluated the images. Detection performance with each method was compared using ROC and LROC analysis. Jackknife analysis provided estimates of statistical significance for differences across all readers for the ROC results. Results: ROC and LROC results indicated statistically significant degradation in detection performance with three-dimensional acquisition (average area under ROC curves [A(z)] 0.51; average area under LROC curves [A(z,LROC)] 0.13) and segmented attenuation correction (average A(z) 0.59; average A(z,LROC) 0.29) compared with two-dimensional FBP without attenuation correction (average A(z) 0.79; average A(z,LROC) 0.54). ROC and LROC results indicated an improvement in detection performance with iterative MAP reconstruction (average A(z) 0.83; average A(z,LROC) 0.64) compared with two-dimensional FBP reconstruction; this improvement was not statistically significant. Conclusion: Use of segmented attenuation correction or three- dimensional acquisition with FBP reconstruction is not expected to improve detection of lung lesions on whole-body PET images compared with images with two-dimensional FBP without attenuation correction. The potential improvement in detection obtained with an iterative MAP reconstruction method is small compared with that obtained with two-dimensional FBP without attenuation correction.

KW - Lesion detection

KW - Lung cancer

KW - PET

KW - Receiver operating characteristic analysis

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