Automated computer-derived SUV and metabolic tumor volume measurements of biopsy proven lesions: comparison with radiologist-derived PET-CT imaging

Georgios Z. Papadakis, Ulas Bagci, Brent Foster, Ziyue Xu, Awais Mansoor, Nicholas John Patronas, Constantine Argyrios Stratakis, Daniel Joseph Mollura

Radiological Society of North America 2014 Scientific Assembly and Annual Meeting

Abstract

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This 2014 RSNA scientific paper presentation compared automated PET-CT measurements with radiologist-derived measurements in biopsy-proven lesions. The archived abstract reports retrospective evaluation of 15 patients and a strong correlation between automated and radiologist-derived SUVmax measurements.

Summary

The authors presented an automated method for analyzing PET-CT images and compared computer-derived standardized uptake value (SUV) measurements and metabolic tumor volume with radiologist-derived measurements. The retrospective evaluation included PET-CT images from 15 patients with biopsy-proven lesions. The archived abstract reports a strong correlation between automatically derived and radiologist-derived SUVmax measurements (R > 0.91, p < 0.0001). The authors also reported that radiologist-derived regions of interest for metabolic tumor volume were overestimated. These findings are from the reported study; the abstract does not establish prospective clinical validation.

  • Presented December 5, 2014, as part of the RSNA scientific meeting session SST11: Nuclear Medicine (Comparative Technologies and Modalities).

Cite this work

Georgios Z. Papadakis, Ulas Bagci, Brent Foster, Ziyue Xu, Awais Mansoor, Nicholas John Patronas, Constantine Argyrios Stratakis, Daniel Joseph Mollura (2014). Automated computer-derived SUV and metabolic tumor volume measurements of biopsy proven lesions: comparison with radiologist-derived PET-CT imaging. Radiological Society of North America 2014 Scientific Assembly and Annual Meeting https://archive.rsna.org/2014/14015577.html

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