Quadriceps Muscle Cross-Sectional Area

Skeletal muscle mass was assessed with a single-slice CT scan (SOMATOM Definition Flash, Siemens, München, Germany [MUMC+ and JBZ]; or Ingenuity CT, Philips Medical Systems, Eindhoven, The Netherlands [MMC]) to determine the anatomic cross-sectional area (CSA) of the quadriceps muscle, as described previously (22 (link)). A single-slice image was made 15 cm proximal to the top of the patella of both legs. Quadriceps muscle CSA of the dominant leg was calculated by manual tracing using ImageJ software (version 1.52p; National Institutes of Health, Bethesda, MD).

Partial Protocol Preview
This section provides a glimpse into the protocol.
The remaining content is hidden due to licensing restrictions, but the full text is available at the following link: Access Free Full Text.

HOUBEN L.H., OVERKAMP M., VAN KRAAIJ P., TROMMELEN J., VAN ROERMUND J.G., DE VRIES P., DE LAET K., VAN DER MEER S., MIKKELSEN U.R., VERDIJK L.B., VAN LOON L.J., BEIJER S, & BEELEN M. (2022). Resistance Exercise Training Increases Muscle Mass and Strength in Prostate Cancer Patients on Androgen Deprivation Therapy. Medicine and Science in Sports and Exercise, 55(4), 614-624.

Publication 2022

SOMATOM Definition Flash Ingenuity CT

Ct scan Patella Quadriceps muscle Skeletal muscle

Corresponding Organization : Maastricht University Medical Centre

Other organizations : Netherlands Comprehensive Cancer Organisation, Zuyderland Medisch Centrum, Máxima Medisch Centrum, Radboud University Nijmegen, Jeroen Bosch Ziekenhuis, Arla Foods (Denmark)

Top 5 similar protocols

Variable analysis

independent variables

None explicitly mentioned

dependent variables

Quadriceps muscle cross-sectional area (CSA) of the dominant leg

control variables

The anatomic cross-sectional area (CSA) of the quadriceps muscle was determined using a single-slice CT scan
The single-slice image was made 15 cm proximal to the top of the patella of both legs
Quadriceps muscle CSA was calculated by manual tracing using ImageJ software

controls

No positive or negative controls were explicitly mentioned in the input protocol

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!