Deep Learning Automated Segmentation for Muscle and Adipose Tissue from Abdominal Computed Tomography in Polytrauma Patients

Sensors, vol. 21, pp. 2083

Abstract

Manual segmentation of muscle and adipose compartments from computed tomography (CT) axial images is a potential bottleneck in early rapid detection and quantification of sarcopenia. A prototype deep learning neural network was trained on a multi-center collection of 3413 abdominal cancer surgery subjects to automatically segment truncal muscle, subcutaneous adipose tissue and visceral adipose tissue at the L3 lumbar vertebral level. Segmentations were externally tested on 233 polytrauma subjects. Although after severe trauma abdominal CT scans are quickly and robustly delivered, with often motion or scatter artefacts, incomplete vertebral bodies or arms that influence image quality, the concordance was generally very good for the body composition indices of Skeletal Muscle Radiation Attenuation (SMRA) (Concordance Correlation Coefficient (CCC) = 0.92), Visceral Adipose Tissue index (VATI) (CCC = 0.99) and Subcutaneous Adipose Tissue Index (SATI) (CCC = 0.99). In conclusion, this article showed an automated and accurate segmentation system to segment the cross-sectional muscle and adipose area L3 lumbar spine level on abdominal CT. Future perspectives will include fine-tuning the algorithm and minimizing the outliers.

Authors 11

1. Leanne L. G. C. Ackermans corresponding

   Maastricht University Medical Centre · Maastricht University

   Affiliation as printed

   Department of Surgery, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre+, 6229 HX Maastricht, The Netherlands

   Department of Traumatology, Maastricht University Medical Centre+, 6229 HX Maastricht, The Netherlands

2. Leroy Volmer corresponding

   Maastricht University Medical Centre

   Affiliation as printed

   Department of Radiation Oncology (MAASTRO), GROW School for Oncology and Development Biology, Maastricht University Medical Centre+, 6229 HX Maastricht, The Netherlands

3. Leonard Wee

   Maastricht University Medical Centre · Maastricht University

   Affiliation as printed

   Clinical Data Science, Faculty of Health Medicine and Lifesciences, Maastricht University, Paul Henri Spaaklaan 1, 6229 GT Maastricht, The Netherlands

   Department of Radiation Oncology (MAASTRO), GROW School for Oncology and Development Biology, Maastricht University Medical Centre+, 6229 HX Maastricht, The Netherlands

4. Ralph Brecheisen

   Maastricht University Medical Centre · Maastricht University

   Affiliation as printed

   Department of Surgery, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre+, 6229 HX Maastricht, The Netherlands

5. Patricia Sánchez González

   Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine · Centro de Investigación Biomédica en Red · Universidad Politécnica de Madrid

   Affiliation as printed

   Biomedical Engineering and Telemedicine Centre, ETSI Telecomunicación, Center for Biomedical Technology, Universidad Politécnica de Madrid, 28040 Madrid, Spain

   Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), 28029 Madrid, Spain

6. Alexander P. Seiffert

   Universidad Politécnica de Madrid

   Affiliation as printed

   Biomedical Engineering and Telemedicine Centre, ETSI Telecomunicación, Center for Biomedical Technology, Universidad Politécnica de Madrid, 28040 Madrid, Spain

7. Enrique J. Gómez Aguilera

   Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine · Centro de Investigación Biomédica en Red · Universidad Politécnica de Madrid

   Affiliation as printed

   Biomedical Engineering and Telemedicine Centre, ETSI Telecomunicación, Center for Biomedical Technology, Universidad Politécnica de Madrid, 28040 Madrid, Spain

   Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), 28029 Madrid, Spain

8. Andre L.A.J. Dekker

   Maastricht University Medical Centre · Maastricht University

   Affiliation as printed

   Clinical Data Science, Faculty of Health Medicine and Lifesciences, Maastricht University, Paul Henri Spaaklaan 1, 6229 GT Maastricht, The Netherlands

   Department of Radiation Oncology (MAASTRO), GROW School for Oncology and Development Biology, Maastricht University Medical Centre+, 6229 HX Maastricht, The Netherlands

9. Jan A. Ten Bosch

   Maastricht University Medical Centre

   Affiliation as printed

   Department of Traumatology, Maastricht University Medical Centre+, 6229 HX Maastricht, The Netherlands

10. Steven W.M. Olde Damink Aachen Department of General, Visceral and Transplantation Surgery

    Maastricht University Medical Centre · Maastricht University · Universitätsklinikum Aachen · RWTH Aachen University

    Affiliation as printed

    Department of General, Visceral and Transplantation Surgery, RWTH University Hospital Aachen, 52074 Aachen, Germany

    Department of Surgery, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University Medical Centre+, 6229 HX Maastricht, The Netherlands

11. Taco Johan Blokhuis

    Maastricht University Medical Centre

    Affiliation as printed

    Department of Traumatology, Maastricht University Medical Centre+, 6229 HX Maastricht, The Netherlands