Volumetric Analysis of Liver and Tumor

CT imaging was acquired with a dual-source CT scanner (Siemens Somatom Force, Siemens AG, München, Germany) using the following parameters: 120 kVp tube voltage; 0.5 s gantry rotation; and 5 mm reconstruction thickness. A senior HPB fellow conducted a volumetric analysis using the IntelliSpace Portal 8.0 software tool (Philips healthcare, Amsterdam, The Netherlands). Total liver volume (TLV), tumor volume (TV) and FLR were subsequently computed by the program after manual delineation of margins in every slide. In each of these calculations, TV was considered to be non-functional. The calculated FLR (cFLR) was then computed as described before [10 (link)]. Hypertrophy was defined as a proportional increase in cFLR. Patients displaying a hypertrophy of less than 25% were defined as non-responders.

Free full text: Click here

Heise D., Schulze-Hagen M., Bednarsch J., Eickhoff R., Kroh A., Bruners P., Eickhoff S.B., Brecheisen R., Ulmer F, & Neumann U.P. (2021). CT-Based Prediction of Liver Function and Post-PVE Hypertrophy Using an Artificial Neural Network. Journal of Clinical Medicine, 10(14), 3079.

Publication 2021

Siemens Somatom Force IntelliSpace Portal 8.0

Ct scanner Hypertrophy Liver Patients Reconstruction

Corresponding Organization : RWTH Aachen University

Other organizations : Forschungszentrum Jülich, Heinrich Heine University Düsseldorf, Maastricht University Medical Centre

Top 5 similar protocols

Protocol cited in 1 other protocol

Variable analysis

independent variables

Hypertrophy

dependent variables

Total liver volume (TLV)
Tumor volume (TV)
Future liver remnant (FLR)
Calculated future liver remnant (cFLR)

control variables

120 kVp tube voltage
0.5 s gantry rotation
5 mm reconstruction thickness
Dual-source CT scanner (Siemens Somatom Force)

controls

None specified
None 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!