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

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• 作者：Adam D. Singer^a ; ^{AdamSinger82@gmail.com" class="auth_mail" title="E-mail the corresponding author} ; Pradip M. Pattany^b ; Laura M. Fayad^c ; Jonathan Tresley^d ; Ty K. Subhawong^b
• 关键词：Volumetric ; Sarcoma ; ADC ; DWI ; Quantification
• 刊名：Clinical Imaging
• 出版年：2016
• 出版时间：May-June 2016
• 年：2016
• 卷：40
• 期：3
• 页码：386-391
• 全文大小：928 K

文摘

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.