Multimodality 3D Tumor Segmentation in HCC Patients Treated with TACE.
Détails
Etat: Public
Version: de l'auteur⸱e
ID Serval
serval:BIB_AED19B0FEB65
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Multimodality 3D Tumor Segmentation in HCC Patients Treated with TACE.
Périodique
Academic Radiology
ISSN
1878-4046 (Electronic)
ISSN-L
1076-6332
Statut éditorial
Publié
Date de publication
07/2015
Peer-reviewed
Oui
Volume
22
Numéro
7
Pages
840-845
Langue
anglais
Notes
Publication types: Comparative Study ; Evaluation Studies ; Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Publication Status: ppublish
Résumé
RATIONALE AND OBJECTIVES: To validate the concordance of a semiautomated multimodality lesion segmentation technique between contrast-enhanced magnetic resonance imaging (CE-MRI), cone-beam computed tomography (CBCT), and multidetector CT (MDCT) in patients with hepatocellular carcinoma (HCC) treated with transarterial chemoembolization (TACE).
MATERIALS AND METHODS: This retrospective analysis included 45 patients with unresectable HCC who underwent baseline CE-MRI within 1 month before the treatment, intraprocedural CBCT during conventional TACE, and MDCT within 24 hours after TACE. Fourteen patients were excluded because of atypical lesion morphology, portal vein invasion, or small lesion size which precluded sufficient lesion visualization. Thirty-one patients with a total of 40 target lesions were included into the analysis. A tumor segmentation software, based on non-Euclidean geometry and theory of radial basis functions, was used to allow for the segmentation of target lesions in 3D on all three modalities. The algorithm created image-based masks located in a 3D region whose center and size were defined by the user, yielding the nomenclature "semiautomatic". On the basis of that, tumor volumes on all three modalities were calculated and compared using a linear regression model (R(2) values). Residual plots were used to analyze drift and variance of the values.
RESULTS: The mean value of tumor volumes was 18.72 ± 19.13 cm(3) (range, 0.41-59.16 cm(3)) on CE-MRI, 21.26 ± 21.99 cm(3) (range, 0.62-86.82 cm(3)) on CBCT, and 19.88 ± 20.88 cm(3) (range, 0.45-75.24 cm(3)) on MDCT. The average volumes of the tumor were not significantly different between CE-MRI and DP-CBCT, DP-CBCT and MDCT, MDCT and CE-MRI (P = .577, .770, and .794, respectively). A strong correlation between volumes on CE-MRI and CBCT, CBCT and MDCT, MDCT and CE-MRI was observed (R(2) = 0.974, 0.992 and 0.983, respectively). When plotting the residuals, no drift was observed for all methods showing deviations of no >10% of absolute volumes (in cm(3)).
CONCLUSIONS: A semiautomated 3D segmentation of HCC lesions treated with TACE provides high volumetric concordance across all tested imaging modalities.
MATERIALS AND METHODS: This retrospective analysis included 45 patients with unresectable HCC who underwent baseline CE-MRI within 1 month before the treatment, intraprocedural CBCT during conventional TACE, and MDCT within 24 hours after TACE. Fourteen patients were excluded because of atypical lesion morphology, portal vein invasion, or small lesion size which precluded sufficient lesion visualization. Thirty-one patients with a total of 40 target lesions were included into the analysis. A tumor segmentation software, based on non-Euclidean geometry and theory of radial basis functions, was used to allow for the segmentation of target lesions in 3D on all three modalities. The algorithm created image-based masks located in a 3D region whose center and size were defined by the user, yielding the nomenclature "semiautomatic". On the basis of that, tumor volumes on all three modalities were calculated and compared using a linear regression model (R(2) values). Residual plots were used to analyze drift and variance of the values.
RESULTS: The mean value of tumor volumes was 18.72 ± 19.13 cm(3) (range, 0.41-59.16 cm(3)) on CE-MRI, 21.26 ± 21.99 cm(3) (range, 0.62-86.82 cm(3)) on CBCT, and 19.88 ± 20.88 cm(3) (range, 0.45-75.24 cm(3)) on MDCT. The average volumes of the tumor were not significantly different between CE-MRI and DP-CBCT, DP-CBCT and MDCT, MDCT and CE-MRI (P = .577, .770, and .794, respectively). A strong correlation between volumes on CE-MRI and CBCT, CBCT and MDCT, MDCT and CE-MRI was observed (R(2) = 0.974, 0.992 and 0.983, respectively). When plotting the residuals, no drift was observed for all methods showing deviations of no >10% of absolute volumes (in cm(3)).
CONCLUSIONS: A semiautomated 3D segmentation of HCC lesions treated with TACE provides high volumetric concordance across all tested imaging modalities.
Mots-clé
Adult, Aged, Aged, 80 and over, Algorithms, Antibiotics, Antineoplastic/therapeutic use, Carcinoma, Hepatocellular/diagnosis, Carcinoma, Hepatocellular/therapy, Chemoembolization, Therapeutic/methods, Cone-Beam Computed Tomography/methods, Doxorubicin/therapeutic use, Female, Humans, Image Enhancement/methods, Image Interpretation, Computer-Assisted/methods, Imaging, Three-Dimensional/methods, Kidney Neoplasms/diagnosis, Kidney Neoplasms/therapy, Magnetic Resonance Imaging/methods, Male, Middle Aged, Multidetector Computed Tomography/methods, Multimodal Imaging/methods, Pattern Recognition, Automated/methods, Prognosis, Reproducibility of Results, Retrospective Studies, Sensitivity and Specificity, Subtraction Technique, Treatment Outcome
Pubmed
Web of science
Création de la notice
03/09/2015 10:58
Dernière modification de la notice
20/08/2019 16:18
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