Reproducibility Of CT Texture Features Of Pancreatic Neuroen
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The reproducibility of textural features of pancreatic neuroendocrine neoplasms (PNENs), obtained under various CT-scanning conditions was evaluated and the study was published in European Journal of Radiology.

The researchers included 12 patients with PNENs and 2 contrast enhanced CT (CECT). Two radiologists independently segmented the entire neoplasm volume using a 3D region of interest by LIFEx application on the arterial phase and then copied it to the other phases. 52 texture features were calculated for each phase.

As a criterion for the segmentation consistency, a value of neoplasm volume was compared using the Bland-Altman method. The Kendall concordance coefficient was calculated to assess the texture features reproducibility in three scenarios: 1) different radiologists, same CECT; 2) same radiologist, different CECT; 3) different radiologists, different CECT.

Results:
For the scenario 1 the neoplasm volumes (except one large PNEN) were found within two standard deviations; this indicates high consistency of the segmentation. For the first scenario, Kendall's coefficient exceeded a threshold of 0.7 for all 52 features for all CT phases.

For the second and third scenario, the concordance coefficient exceeded a threshold of 0.7 in 38, 28, 42, 45 and in 36, 25, 36, 44 features for the native, arterial, venous and delayed phases, respectively.

Conclusion:
It was concluded that the highest reproducibility was found in the first scenario compared to the second and third: 100% vs. 74% and 67%. Reproducible texture features can be reliably used to assess the PNENs structure.

Source:
https://www.ejradiology.com/article/S0720-048X(20)30561-1/fulltext?rss=yes
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