Volumetric segmentation of ADC maps and utility of standard deviation as measure of tumor heterogeneity in soft tissue tumors

Adam D. Singer, Pradip Pattany, Laura M. Fayad, Jonathan Tresley, Ty Subhawong

Research output: Contribution to journalArticle

9 Scopus citations

Abstract

Purpose: Determine interobserver concordance of semiautomated three-dimensional volumetric and two-dimensional manual measurements of apparent diffusion coefficient (ADC) values in soft tissue masses (STMs) and explore standard deviation (SD) as a measure of tumor ADC heterogeneity. Results: Concordance correlation coefficients for mean ADC increased with more extensive sampling. Agreement on the SD of tumor ADC values was better for large regions of interest and multislice methods. Correlation between mean and SD ADC was low, suggesting that these parameters are relatively independent. Conclusion: Mean ADC of STMs can be determined by volumetric quantification with high interobserver agreement. STM heterogeneity merits further investigation as a potential imaging biomarker that complements other functional magnetic resonance imaging parameters.

Original languageEnglish (US)
Pages (from-to)386-391
Number of pages6
JournalClinical Imaging
Volume40
Issue number3
DOIs
StatePublished - May 1 2016

Keywords

  • ADC
  • DWI
  • Quantification
  • Sarcoma
  • Volumetric

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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