Polyenergetic and Monoenergetic DECT Imaging

Details of the DECT scan technique are provided in Supplementary Material 1. Polyenergetic images (PEIs) were generated using an iterative reconstruction algorithm (iDose 4, level 3; Philips Healthcare) to represent conventional CT image sets and then transferred to the picture archiving and communication system. Furthermore, 40-keV virtual monoenergetic images (VMIs) [22 (link)–24 (link)] and other spectral-based imaging datasets, including material-decomposition maps of iodine density (ID) and effective atomic numbers (Z_eff) maps, were generated using the postprocessing workstation (IntelliSpace Portal 9.0, Philips Healthcare).

Free full text: Click here

Wu L., Cen C., Yue X., Chen L., Wu H., Yang M., Lu Y., Ma L., Li X., Wu H., Zheng C, & Han P. (2024). A clinical-radiomics nomogram based on dual-layer spectral detector CT to predict cancer stage in pancreatic ductal adenocarcinoma. Cancer Imaging, 24, 55.

Publication 2024

iDose 4 IntelliSpace Portal 9.0

Corresponding Organization :

Other organizations : Union Hospital, Huazhong University of Science and Technology, Sichuan University, West China Hospital of Sichuan University, State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing

Top 5 similar protocols

Variable analysis

independent variables

Iterative reconstruction algorithm (iDose 4, level 3; Philips Healthcare)
40-keV virtual monoenergetic images (VMIs)
Material-decomposition maps of iodine density (ID) and effective atomic numbers (Zeff) maps

dependent variables

Polyenergetic images (PEIs)
Spectral-based imaging datasets

control variables

Not explicitly mentioned

controls

No positive or negative controls specified

Annotations

Based on most similar protocols

Etiam vel ipsum. Morbi facilisis vestibulum nisl. Praesent cursus laoreet felis. Integer adipiscing pretium orci. Nulla facilisi. Quisque posuere bibendum purus. Nulla quam mauris, cursus eget, convallis ac, molestie non, enim. Aliquam congue. Quisque sagittis nonummy sapien. Proin molestie sem vitae urna. Maecenas lorem.

As authors may omit details in methods from publication, our AI will look for missing critical information across the 5 most similar protocols.

About PubCompare

Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.

We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.

However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.

Ready to get started?

Revolutionizing how scientists
search and build protocols!