caa a22 4500 60549505X CHVBK 20210128100529.0 cr unu---uuuuu 210128e20150601xx s 000 0 eng 10.1007/s00261-014-0276-9 doi (NATIONALLICENCE)springer-10.1007/s00261-014-0276-9 Computer-aided liver volumetry: performance of a fully-automated, prototype post-processing solution for whole-organ and lobar segmentation based on MDCT imaging [Elektronische Daten] [Ghaneh Fananapazir, Mustafa Bashir, Daniele Marin, Daniel Boll] Purpose: To evaluate the performance of a prototype, fully-automated post-processing solution for whole-liver and lobar segmentation based on MDCT datasets. Materials and methods: A polymer liver phantom was used to assess accuracy of post-processing applications comparing phantom volumes determined via Archimedes' principle with MDCT segmented datasets. For the IRB-approved, HIPAA-compliant study, 25 patients were enrolled. Volumetry performance compared the manual approach with the automated prototype, assessing intraobserver variability, and interclass correlation for whole-organ and lobar segmentation using ANOVA comparison. Fidelity of segmentation was evaluated qualitatively. Results: Phantom volume was 1581.0±44.7mL, manually segmented datasets estimated 1628.0±47.8mL, representing a mean overestimation of 3.0%, automatically segmented datasets estimated 1601.9±0mL, representing a mean overestimation of 1.3%. Whole-liver and segmental volumetry demonstrated no significant intraobserver variability for neither manual nor automated measurements. For whole-liver volumetry, automated measurement repetitions resulted in identical values; reproducible whole-organ volumetry was also achieved with manual segmentation, p ANOVA 0.98. For lobar volumetry, automated segmentation improved reproducibility over manual approach, without significant measurement differences for either methodology, p ANOVA 0.95-0.99. Whole-organ and lobar segmentation results from manual and automated segmentation showed no significant differences, p ANOVA 0.96-1.00. Assessment of segmentation fidelity found that segments I-IV/VI showed greater segmentation inaccuracies compared to the remaining right hepatic lobe segments. Conclusion: Automated whole-liver segmentation showed non-inferiority of fully-automated whole-liver segmentation compared to manual approaches with improved reproducibility and post-processing duration; automated dual-seed lobar segmentation showed slight tendencies for underestimating the right hepatic lobe volume and greater variability in edge detection for the left hepatic lobe compared to manual segmentation. Springer Science+Business Media New York, 2014 MDCT nationallicence Post-processing nationallicence Liver nationallicence Volumetry nationallicence Fananapazir Ghaneh Department of Radiology, Duke University Medical Center, DUMC 3808, 27710, Durham, NC, USA aut Bashir Mustafa Department of Radiology, Duke University Medical Center, DUMC 3808, 27710, Durham, NC, USA aut Marin Daniele Department of Radiology, Duke University Medical Center, DUMC 3808, 27710, Durham, NC, USA aut Boll Daniel Department of Radiology, Duke University Medical Center, DUMC 3808, 27710, Durham, NC, USA aut Abdominal Imaging Springer US; http://www.springer-ny.com 40/5(2015-06-01), 1203-1212 0942-8925 40:5<1203 2015 40 261 https://doi.org/10.1007/s00261-014-0276-9 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00261-014-0276-9 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Fananapazir Ghaneh Department of Radiology, Duke University Medical Center, DUMC 3808, 27710, Durham, NC, USA aut NATIONALLICENCE 700 1- Bashir Mustafa Department of Radiology, Duke University Medical Center, DUMC 3808, 27710, Durham, NC, USA aut NATIONALLICENCE 700 1- Marin Daniele Department of Radiology, Duke University Medical Center, DUMC 3808, 27710, Durham, NC, USA aut NATIONALLICENCE 700 1- Boll Daniel Department of Radiology, Duke University Medical Center, DUMC 3808, 27710, Durham, NC, USA aut NATIONALLICENCE 773 0- Abdominal Imaging Springer US; http://www.springer-ny.com 40/5(2015-06-01), 1203-1212 0942-8925 40:5<1203 2015 40 261