Background/Objectives: To evaluate whether semi-automatic and automatic CT-based liver segmentation methods can provide clinically acceptable volumetric agreement compared with manual segmentation while improving processing efficiency in routine practice. Methods: CT images from 86 individuals were retrospectively analyzed. Liver volumes were calculated using manual segmentation, RVX Semi-Automatic, RVX Deep Learning, and TotalSegmentator. Differences among methods were assessed using repeated-measures ANOVA. Agreement with manual segmentation was evaluated using a Bland–Altman analysis, while the Dice Similarity Coefficient (DICE) and Hausdorff Distance (HD) quantified spatial overlap and boundary deviation, respectively. Processing times were recorded. Results: Mean liver volumes were 1503.9 ± 356.0 cm³ (manual), 1512.6 ± 373.6 cm³ (RVX Semi-Automatic), 1549.8 ± 367.9 cm³ (RVX Deep Learning), and 1518.3 ± 365.8 cm³ (TotalSegmentator). RVX Deep Learning produced significantly higher volumes compared with manual segmentation (p < 0.001), whereas RVX Semi-Automatic and TotalSegmentator showed no significant differences (p > 0.05). DICE values were 0.911 ± 0.032, 0.946 ± 0.018, and 0.938 ± 0.021 for RVX Semi-Automatic, RVX Deep Learning, and TotalSegmentator, respectively. HD values were highest for the deep learning-based method. Processing times were shortest for RVX Deep Learning and longest for manual segmentation. Conclusions: Semi-automatic and automatic liver segmentation methods substantially reduce processing time while maintaining clinically acceptable volumetric agreement. Among the evaluated approaches, TotalSegmentator showed the closest agreement with manual segmentation, supporting its use in routine CT-based liver volumetry. Deep learning-based segmentation, although faster, tended to overestimate volume, potentially limiting its use in applications requiring high volumetric precision.

Background/Aims: This study aimed to evaluate the anatomical injuries resulting from cardiopulmonary resuscitation (CPR) at the system level in forensic autopsy cases and to investigate their association with variables such as CPR duration, age, and sex. Methods: A total of 121 cases, who underwent manual CPR and died from non-traumatic causes between February 2024 and March 2025, were included in the study. In all cases, injuries were systematically assessed across the skeletal system (rib and sternum fractures), cardiac structures (epicardial, endocardial, and pericardial hemorrhages), respiratory system, abdominal organs (liver, spleen, diaphragm), and major vessels. Results: Rib fractures were detected in 67.7% of the cases and sternum fractures in 57.8%. Among those with sternum fractures, 93.3% also had concurrent rib fractures. Rib fractures were frequently bilateral, most commonly observed between the 3rd and 6th ribs, with a notable concentration at the bilateral 6th rib. Hemorrhages were identified in the epicardium (43.8%), endocardium (39.7%), and pericardium (45.5%) among cardiac structures. Injuries in the abdominal organs included the liver (37.2%), spleen (27.3%), and diaphragm (39.7%). A statistically significant positive correlation was found between CPR duration and the severity of cardiac and visceral injuries (p