Fully Automated Segmentation of Pulmonary Fibrosis Using Different Software Tools
Autor: | Oliver Weinheimer, Hans-Ulrich Kauczor, Tobias Norajitra, Athanasios Giannakis, Claus Peter Heussel, Julien Dinkel, Gudula Heussel, Monika Eichinger, Michael Kreuter, Julia Ley-Zaporozhan, Sebastian Ley, Lars Kehler, Claudia Ganter, Klaus H. Maier-Hein, Csilla Van Lunteren |
---|---|
Rok vydání: | 2021 |
Předmět: |
Male
Pulmonary and Respiratory Medicine Percentile Models Biological Idiopathic pulmonary fibrosis Fibrosis Pulmonary fibrosis Humans Medicine Segmentation Lung volumes Diagnosis Computer-Assisted Lung Aged business.industry Soft tissue Middle Aged medicine.disease Idiopathic Pulmonary Fibrosis medicine.anatomical_structure Case-Control Studies Linear Models Female Lung Volume Measurements Tomography X-Ray Computed business Nuclear medicine Algorithms Software |
Zdroj: | Respiration. 100:580-587 |
ISSN: | 1423-0356 0025-7931 |
Popis: | Objective: Evaluation of software tools for segmentation, quantification, and characterization of fibrotic pulmonary parenchyma changes will strengthen the role of CT as biomarkers of disease extent, evolution, and response to therapy in idiopathic pulmonary fibrosis (IPF) patients. Methods: 418 nonenhanced thin-section MDCTs of 127 IPF patients and 78 MDCTs of 78 healthy individuals were analyzed through 3 fully automated, completely different software tools: YACTA, LUFIT, and IMBIO. The agreement between YACTA and LUFIT on segmented lung volume and 80th (reflecting fibrosis) and 40th (reflecting ground-glass opacity) percentile of the lung density histogram was analyzed using Bland-Altman plots. The fibrosis and ground-glass opacity segmented by IMBIO (lung texture analysis software tool) were included in specific regression analyses. Results: In the IPF-group, LUFIT outperformed YACTA by segmenting more lung volume (mean difference 242 mL, 95% limits of agreement −54 to 539 mL), as well as quantifying higher 80th (76 HU, −6 to 158 HU) and 40th percentiles (9 HU, −73 to 90 HU). No relevant differences were revealed in the control group. The 80th/40th percentile as quantified by LUFIT correlated positively with the percentage of fibrosis/ground-glass opacity calculated by IMBIO (r = 0.78/r = 0.92). Conclusions: In terms of segmentation of pulmonary fibrosis, LUFIT as a shape model-based segmentation software tool is superior to the threshold-based YACTA, tool, since the density of (severe) fibrosis is similar to that of the surrounding soft tissues. Therefore, shape modeling as used in LUFIT may serve as a valid tool in the quantification of IPF, since this mainly affects the subpleural space. |
Databáze: | OpenAIRE |
Externí odkaz: |