FDG PET metabolic tumor volume segmentation and pathologic volume of primary human solid tumors

Praveen Sridhar, Gustavo Mercier, Josenia Tan, Minh Tam Truong, Benedict Daly, Rathan M. Subramaniam

Research output: Contribution to journalArticle

41 Citations (Scopus)

Abstract

OBJECTIVE. The purpose of this study was to establish the correlation and reliability among the pathologic tumor volume and gradient and fixed threshold segmentations of 18F-FDG PET metabolic tumor volume of human solid tumors. MATERIALS AND METHODS. There were 52 patients included in the study who had undergone baseline PET/CT with subsequent resection of head and neck, lung, and colorectal tumors. The pathologic volume was calculated from three dimensions of the gross tumor specimen as a reference standard. The primary tumor metabolic tumor volume was segmented using gradient and 30%, 40%, and 50% maximum standardized uptake value (SUVmax) threshold methods. Pearson correlation coefficient, intraclass correlation coefficient, and Bland-Altman analyses were performed to establish the correlation and reliability among the pathologic volume and segmented metabolic tumor volume. RESULTS. The mean pathologic volume; gradient-based metabolic tumor volume; and 30%, 40%, and 50% SUVmax threshold metabolic tumor volumes were 13.46, 13.75, 15.47, 10.63, and 7.57 mL, respectively. The intraclass correlation coefficients among the pathologic volume and the gradient-based and 30%, 40%, and 50% SUVmax threshold metabolic tumor volumes were 0.95, 0.85, 0.80, and 0.76, respectively. The Bland-Altman biases were -0.3, -2.0, 2.82, and 5.9 mL, respectively. Of the small tumors (< 10 mL), 23 of the 35 patients had PET segmented volume outside 50% of the pathologic volume, and among the large tumors (≥10 mL) three of the 17 patients had PET segmented volumes that were outside 50% of pathologic volume. CONCLUSION. FDG PET metabolic tumor volume estimated using gradient segmentation had superior correlation and reliability with the estimated ellipsoid pathologic volume of the tumors compared with threshold method segmentation.

Original languageEnglish (US)
Pages (from-to)1114-1119
Number of pages6
JournalAmerican Journal of Roentgenology
Volume202
Issue number5
DOIs
StatePublished - Jan 1 2014

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Tumor Burden
Neoplasms
Fluorodeoxyglucose F18
Colorectal Neoplasms
Neck
Head
Lung

Keywords

  • Fixed threshold method
  • Gradient method
  • Metabolic tumor volume
  • Segmentation

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

Cite this

FDG PET metabolic tumor volume segmentation and pathologic volume of primary human solid tumors. / Sridhar, Praveen; Mercier, Gustavo; Tan, Josenia; Truong, Minh Tam; Daly, Benedict; Subramaniam, Rathan M.

In: American Journal of Roentgenology, Vol. 202, No. 5, 01.01.2014, p. 1114-1119.

Research output: Contribution to journalArticle

Sridhar, Praveen ; Mercier, Gustavo ; Tan, Josenia ; Truong, Minh Tam ; Daly, Benedict ; Subramaniam, Rathan M. / FDG PET metabolic tumor volume segmentation and pathologic volume of primary human solid tumors. In: American Journal of Roentgenology. 2014 ; Vol. 202, No. 5. pp. 1114-1119.
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abstract = "OBJECTIVE. The purpose of this study was to establish the correlation and reliability among the pathologic tumor volume and gradient and fixed threshold segmentations of 18F-FDG PET metabolic tumor volume of human solid tumors. MATERIALS AND METHODS. There were 52 patients included in the study who had undergone baseline PET/CT with subsequent resection of head and neck, lung, and colorectal tumors. The pathologic volume was calculated from three dimensions of the gross tumor specimen as a reference standard. The primary tumor metabolic tumor volume was segmented using gradient and 30{\%}, 40{\%}, and 50{\%} maximum standardized uptake value (SUVmax) threshold methods. Pearson correlation coefficient, intraclass correlation coefficient, and Bland-Altman analyses were performed to establish the correlation and reliability among the pathologic volume and segmented metabolic tumor volume. RESULTS. The mean pathologic volume; gradient-based metabolic tumor volume; and 30{\%}, 40{\%}, and 50{\%} SUVmax threshold metabolic tumor volumes were 13.46, 13.75, 15.47, 10.63, and 7.57 mL, respectively. The intraclass correlation coefficients among the pathologic volume and the gradient-based and 30{\%}, 40{\%}, and 50{\%} SUVmax threshold metabolic tumor volumes were 0.95, 0.85, 0.80, and 0.76, respectively. The Bland-Altman biases were -0.3, -2.0, 2.82, and 5.9 mL, respectively. Of the small tumors (< 10 mL), 23 of the 35 patients had PET segmented volume outside 50{\%} of the pathologic volume, and among the large tumors (≥10 mL) three of the 17 patients had PET segmented volumes that were outside 50{\%} of pathologic volume. CONCLUSION. FDG PET metabolic tumor volume estimated using gradient segmentation had superior correlation and reliability with the estimated ellipsoid pathologic volume of the tumors compared with threshold method segmentation.",
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AU - Subramaniam, Rathan M.

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N2 - OBJECTIVE. The purpose of this study was to establish the correlation and reliability among the pathologic tumor volume and gradient and fixed threshold segmentations of 18F-FDG PET metabolic tumor volume of human solid tumors. MATERIALS AND METHODS. There were 52 patients included in the study who had undergone baseline PET/CT with subsequent resection of head and neck, lung, and colorectal tumors. The pathologic volume was calculated from three dimensions of the gross tumor specimen as a reference standard. The primary tumor metabolic tumor volume was segmented using gradient and 30%, 40%, and 50% maximum standardized uptake value (SUVmax) threshold methods. Pearson correlation coefficient, intraclass correlation coefficient, and Bland-Altman analyses were performed to establish the correlation and reliability among the pathologic volume and segmented metabolic tumor volume. RESULTS. The mean pathologic volume; gradient-based metabolic tumor volume; and 30%, 40%, and 50% SUVmax threshold metabolic tumor volumes were 13.46, 13.75, 15.47, 10.63, and 7.57 mL, respectively. The intraclass correlation coefficients among the pathologic volume and the gradient-based and 30%, 40%, and 50% SUVmax threshold metabolic tumor volumes were 0.95, 0.85, 0.80, and 0.76, respectively. The Bland-Altman biases were -0.3, -2.0, 2.82, and 5.9 mL, respectively. Of the small tumors (< 10 mL), 23 of the 35 patients had PET segmented volume outside 50% of the pathologic volume, and among the large tumors (≥10 mL) three of the 17 patients had PET segmented volumes that were outside 50% of pathologic volume. CONCLUSION. FDG PET metabolic tumor volume estimated using gradient segmentation had superior correlation and reliability with the estimated ellipsoid pathologic volume of the tumors compared with threshold method segmentation.

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