Request for evidence supporting the use of TotalSegmentator's tissue types task for body composition research

Support
1

I’m planning to write a research paper that uses the tissue types task of the TotalSegmentator module in 3D Slicer to perform automated body composition segmentation, particularly focusing on structures such as visceral fat, subcutaneous fat, and skeletal muscle.

Before proceeding further, I’d like to know whether there is sufficient peer-reviewed evidence supporting the accuracy and reliability of this function for research purposes. Specifically, I’m looking for studies or validation papers that have used this feature (or a closely related method within TotalSegmentator) in clinical or epidemiological body composition analysis.

If anyone knows of any published articles, preprints, validation datasets, or even informal benchmarks that could support the scientific use of this segmentation approach, I would greatly appreciate it if you could share them.

Thank you in advance for your help!

2

I don’t use TotalSegmentator in my research, so I don’t know if there are such studies. However, I would say that as a researcher it is really your responsibility to make sure that the tool fits your needs. Even if there are studies along those lines, they might have a far more different definition of accuracy and reliability. So citing them is not going to help you.

You can probably segment a few structures on your own, do the same the with total segmentator and decide for yourself using statistics…