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Whole-Body Transformation in Obese Patients Undergoing Metabolic Surgery: Insights From Automated Multiorgan
Silke Potthast1, Martin Segeroth2, Jakob Wasserthal2
1Department of Radiology, Limmattal Hospital, Schlieren, Switzerland (S.P.).
Automated segmentation accurately tracks subtle changes in body composition after metabolic surgery. This method reveals significant shifts in fat, organ, and muscle volumes and characteristics, aiding in understanding post-surgery transformations.
Area of Science:
- Radiology and Medical Imaging
- Surgical Oncology
- Obesity Medicine
Background:
- Metabolic surgery is a key intervention for severe obesity.
- Assessing body composition changes post-surgery is crucial for patient management.
- Subtle volumetric and tissue characteristic alterations may impact outcomes.
Purpose of the Study:
- To evaluate the efficacy of automated segmentation for detecting subtle changes in volume and tissue characteristics.
- To analyze these changes in obese patients undergoing metabolic surgery.
Main Methods:
- 1877 preoperative/postoperative CT scans analyzed using automated multiorgan segmentation.
- Nine compartments assessed: subcutaneous/peritoneal fat, skeletal muscle, liver, spleen, kidneys, pancreas, L1 vertebral body.
- Statistical analysis included Wilcoxon signed-rank test and generalized linear mixed models.
Main Results:
- Significant reductions in subcutaneous (25%) and visceral fat (29%) volumes observed.
- Increased Hounsfield Unit (HU) values in fat post-surgery indicate tissue quality changes.
- Organ volumes (liver, spleen, kidneys, pancreas) decreased by 7-11%.
- Skeletal muscle volume decreased by 4% with a 4% increase in HU.
- Male gender was associated with larger volumes and greater postoperative changes.
Conclusions:
- Automated, operator-independent segmentation effectively quantifies subtle volumetric and tissue characteristic changes post-metabolic surgery.
- These findings highlight the complex body composition remodeling following surgery-induced weight loss.
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