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Interreader agreement and variability of FDG PET volumetric parameters in human solid tumors.

Publication ,  Journal Article
Paidpally, V; Mercier, G; Shah, BA; Senthamizhchelvan, S; Subramaniam, RM
Published in: AJR Am J Roentgenol
February 2014

OBJECTIVE: The purpose of this article is to evaluate the interreader agreement and variability of two (18)F-FDG PET parameters, metabolic tumor volume and total lesion glycolysis, in human solid tumors. MATERIALS AND METHODS: One hundred eleven patients (mean [± SD] age, 61.9 ± 12.5 years) with baseline staging FDG PET/CT scans were included. Two readers independently read the scans and segmented metabolic tumor volume and total lesion glycolysis using two fixed thresholds, 40% and 50% of the lesion's maximum standardized uptake value (SUVmax). The impact of the lesion's FDG avidity and location on reader agreement and variability was established. Intraclass correlation coefficient (ICC), precision, and Bland-Altman analysis were used to evaluate agreement and variability. RESULTS: The ICCs for 40% and 50% SUVmax segmentations of metabolic tumor volume between the readers were 0.987 and 0.995, and the corresponding values for 40% and 50% SUVmax segmentations of total lesion glycolysis were 0.987 and 0.986, respectively (p = 0.0001). The corresponding precisions were 0.5%, 0.2%, 0.5%, and 0.5%, respectively. The mean biases between the readers for 40% and 50% SUVmax segmentations of metabolic tumor volume were -1.78 ± 8.42 mL and -0.46 ± 2.1 mL and for 40% and 50% SUVmax segmentations of total lesion glycolysis were -7.3 ± 31.6 g and -2.97 ± 12.86 g, respectively. Subgroup analysis showed better precision and lesser variability for 50% SUVmax segmentations of metabolic tumor volume and total lesion glycolysis in patients with the highest and lowest FDG-avid primary tumors. The precision was highest and variability was lowest for lung tumors. CONCLUSION: There is excellent interreader agreement for measurement of metabolic tumor volume and total lesion glycolysis with 40% and 50% SUVmax threshold segmentations in human solid tumors.

Duke Scholars

Published In

AJR Am J Roentgenol

DOI

EISSN

1546-3141

Publication Date

February 2014

Volume

202

Issue

2

Start / End Page

406 / 412

Location

United States

Related Subject Headings

  • Tumor Burden
  • Tomography, X-Ray Computed
  • Radiopharmaceuticals
  • Positron-Emission Tomography
  • Nuclear Medicine & Medical Imaging
  • Neoplasms
  • Multimodal Imaging
  • Middle Aged
  • Male
  • Humans
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Paidpally, V., Mercier, G., Shah, B. A., Senthamizhchelvan, S., & Subramaniam, R. M. (2014). Interreader agreement and variability of FDG PET volumetric parameters in human solid tumors. AJR Am J Roentgenol, 202(2), 406–412. https://doi.org/10.2214/AJR.13.10841
Paidpally, Vasavi, Gustavo Mercier, Bhartesh A. Shah, Srinivasan Senthamizhchelvan, and Rathan M. Subramaniam. “Interreader agreement and variability of FDG PET volumetric parameters in human solid tumors.AJR Am J Roentgenol 202, no. 2 (February 2014): 406–12. https://doi.org/10.2214/AJR.13.10841.
Paidpally V, Mercier G, Shah BA, Senthamizhchelvan S, Subramaniam RM. Interreader agreement and variability of FDG PET volumetric parameters in human solid tumors. AJR Am J Roentgenol. 2014 Feb;202(2):406–12.
Paidpally, Vasavi, et al. “Interreader agreement and variability of FDG PET volumetric parameters in human solid tumors.AJR Am J Roentgenol, vol. 202, no. 2, Feb. 2014, pp. 406–12. Pubmed, doi:10.2214/AJR.13.10841.
Paidpally V, Mercier G, Shah BA, Senthamizhchelvan S, Subramaniam RM. Interreader agreement and variability of FDG PET volumetric parameters in human solid tumors. AJR Am J Roentgenol. 2014 Feb;202(2):406–412.

Published In

AJR Am J Roentgenol

DOI

EISSN

1546-3141

Publication Date

February 2014

Volume

202

Issue

2

Start / End Page

406 / 412

Location

United States

Related Subject Headings

  • Tumor Burden
  • Tomography, X-Ray Computed
  • Radiopharmaceuticals
  • Positron-Emission Tomography
  • Nuclear Medicine & Medical Imaging
  • Neoplasms
  • Multimodal Imaging
  • Middle Aged
  • Male
  • Humans