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  • 1
    In: Cancer Imaging, Springer Science and Business Media LLC, Vol. 22, No. 1 ( 2022-12)
    Abstract: To evaluate effectivity of a 3D-motion correction algorithm in C-Arm CTs (CACT) with limited image quality (IQ) during transarterial chemoembolization (TACE). Methods From 1/2015–5/2021, 644 CACTs were performed in patients during TACE. Of these, 27 CACTs in 26 patients (18 m, 8f; 69.7 years ± 10.7 SD) of limited IQ were included. Post-processing of the original raw-data sets (CACT Org ) included application of a 3D-motion correction algorithm and bone segmentation (CACT MC_no_bone ). Four radiologists (R1-4) compared the images by choosing their preferred dataset and recommending repeat acquisition in case of severe IQ-impairment. R1,2 performed additional grading of intrahepatic vessel visualization, presence/extent of movement artifacts, and overall IQ. Results R1,2 demonstrated excellent interobserver agreement for overall IQ (ICC 0.79, p   〈  0.01) and the five-point vessel visualization scale before and after post-processing of the datasets (ICC 0.78, p   〈  0.01). Post-processing caused significant improvement, with overall IQ improving from 2.63 (CACT Org ) to 1.39 (CACT MC_no_bone ; p   〈  0.01) and a decrease in the mean distance of identifiable, subcapsular vessels to the liver capsule by 4 mm ( p   〈  0.01). This proved especially true for datasets with low parenchymal and high hepatic artery contrast. A good interobserver agreement (ICC = 0.73) was recorded concerning the presence of motion artifacts, with significantly less discernible motion after post-processing (CACT Org :1.31 ± 1.67, CACT MC_no_bone :1.00 ± 1.34,  p   〈  0.01). Of the 27 datasets, ≥ 23 CACT MC_no_bone were preferred, with identical datasets chosen by the readers to show benefit from the algorithm. Conclusion Application of a 3D-motion correction algorithm significantly improved IQ in diagnostically limited CACTs during TACE, with the potential to decrease repeat acquisitions.
    Type of Medium: Online Resource
    ISSN: 1470-7330
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2022
    detail.hit.zdb_id: 2104862-9
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  • 2
    In: CardioVascular and Interventional Radiology, Springer Science and Business Media LLC, Vol. 44, No. 4 ( 2021-04), p. 610-618
    Abstract: The aim of this retrospective study was to evaluate the feasibility of a motion correction 3D reconstruction prototype technique for C-arm computed tomography (CACT). Material and Methods We included 65 consecutive CACTs acquired during transarterial chemoembolization of 54 patients (47 m,7f; 67 ± 11.3 years). All original raw datasets (CACT Org ) underwent reconstruction with and without volume punching of high-contrast objects using a 3D image reconstruction software to compensate for motion (CACT MC_bone ;CACT MC_no bone ). Subsequently, the effect on image quality (IQ) was evaluated using objective (image sharpness metric) and subjective criteria. Subjective criteria were defined by vessel geometry, overall IQ, delineation of tumor feeders, the presence of foreign material-induced artifacts and need for additional imaging, assessed by two independent readers on a 3-(vessel geometry and overall IQ) or 2-point scale, respectively. Friedman rank-sum test and post hoc analysis in form of pairwise Wilcoxon signed-rank test were computed and inter-observer agreement analyzed using kappa test. Results Objective IQ as defined by an image sharpness metric, increased from 273.5 ± 28 (CACT Org ) to 328.5 ± 55.1 (CACT MC_bone ) and 331 ± 57.8 (CACT MC_no bone ; all p   〈  0.0001). These results could largely be confirmed by the subjective analysis, which demonstrated predominantly good and moderate inter-observer agreement, with best agreement for CACT MC_no bone in all categories (e.g., vessel geometry : CACT Org : κ  = 0.51, CACT MC_bone : κ  = 0.42, CACT MC_no bone : κ  = 0.69). Conclusion The application of a motion correction algorithm was feasible for all data sets and led to an increase in both objective and subjective IQ parameters. Level of Evidence 3
    Type of Medium: Online Resource
    ISSN: 0174-1551 , 1432-086X
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2021
    detail.hit.zdb_id: 1458490-6
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