Clinical impact of a new cone beam CT angiography respiratory motion artifact reduction algorithm during hepatic intra-arterial interventions

Burgio, Marco Dioguardi; Benseghir, Thomas; Roche, Vincent; Alba, Carmela Garcia; Debry, Jean Baptiste; Sibert, Annie; Vilgrain, Valérie; Ronot, Maxime

doi:10.1007/s00330-019-06355-w

Cited by 11 publications

(14 citation statements)

References 15 publications

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“…Two studies examined the feasibility of using software enhancement to correct artefacts resulting from breathing motion 23,24 . CBCT imaging is affected by respiratory motion artefacts, which were reported to corrupt image quality and reduce diagnostic confidence in up to 10% of cases 23 . Both studies described an increase in image quality with no significant degradation 23 .…”

Section: Resultsmentioning

confidence: 99%

“…Multiple studies have demonstrated that the software has led to faster procedures. 14,17,19,23,28 Iwazawa et al reported that the software contributed to procedures being completed approximately 12% more quickly. 14 Specific software features facilitate the acceleration of certain parts of the procedure.…”

Section: Discussionmentioning

confidence: 99%

“…Time is a precious commodity in healthcare, and software that reduces procedural time, offers significant benefits. Multiple studies have demonstrated that the software has led to faster procedures 14,17,19,23,28 . Iwazawa et al.…”

Section: Discussionmentioning

confidence: 99%

“…Full-text articles excluded (n=6) - ------------------------------------------------- motion. 23,24 CBCT imaging is affected by respiratory motion artefacts, which were reported to corrupt image quality and reduce diagnostic confidence in up to 10% of cases. 23 Both studies described an increase in image quality with no significant degradation.…”

Section: Screeningmentioning

confidence: 99%

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Exploring software navigation tools for liver tumour angiography: a scoping review

Brunskill,

Robinson,

Nocum

et al. 2024

J of Medical Radiation Sci

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IntroductionLiver cancer presents a growing global health concern, necessitating advanced approaches for intervention. This review investigates the use and effectiveness of software navigation in interventional radiology for liver tumour procedures.MethodsIn accordance with Preferred Reporting Items for Systematic reviews and Meta‐Analyses extension for Scoping Reviews (PRISMA‐ScR) guidelines, a scoping review was conducted of the literature published between 2013 and 2023 sourcing articles through MEDLINE, Scopus, CINAHL and Embase. Eligible studies focused on liver cancer, utilised cone‐beam computed tomography (CBCT), and employed software for intervention. Twenty‐one articles were deemed eligible for data extraction and analysis.ResultsCategorised by type, software applications yielded diverse benefits. Feeder detection software significantly enhanced vessel identification, reducing non‐target embolisation by up to 43%. Motion correction software demonstrated a 20% enhancement in image quality, effectively mitigating breathing‐induced motion artefacts. Liver perfusion software facilitated efficient tumour targeting while simultaneously reducing the occurrence of side effects. Needle guide software enabled precise radiofrequency ablation needle placement. Additionally, these software applications provided detailed anatomical simulations. Overall, software integration resulted in shorter procedures, reduced radiation exposure and decreased contrast media usage.ConclusionThis scoping review highlights the innovative yet relatively underexplored role of software navigation for liver tumour procedures. The integration of software applications not only enhances procedural efficiency but also bolsters operator confidence, and contributes to improved patient outcomes. Despite the current lack of uniformity and standardisation, these software‐driven advancements hold significant promise for transforming liver tumour interventions. To realise these benefits, further research is needed to explore the clinical impact and optimal utilisation of software navigation tools in interventional radiology.

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Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Screeningmentioning

confidence: 99%

See 2 more Smart Citations

Exploring software navigation tools for liver tumour angiography: a scoping review

Brunskill,

Robinson,

Nocum

et al. 2024

J of Medical Radiation Sci

View full text Add to dashboard Cite

show abstract

“…; (3) calculation, using a robust cost function, of a nonperiodic, smooth elastic 3D motion vector field describing the nonrigid deformation map between the projection images and the motion-blurred volume; and (4) re-reconstruction of the volume using the motion-corrected projection images. Iterate over steps 2 to 4 using an appropriate stopping criterion [117][118][119][120] (see Fig. 21 for an example of achievable image quality improvement).…”

Section: Breathing Motion Correctionmentioning

confidence: 99%

Flat-panel conebeam CT in the clinic: history and current state

et al. 2021

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. Research into conebeam CT concepts began as soon as the first clinical single-slice CT scanner was conceived. Early implementations of conebeam CT in the 1980s focused on high-contrast applications where concurrent high resolution ( ), for visualization of small contrast-filled vessels, bones, or teeth, was an imaging requirement that could not be met by the contemporaneous CT scanners. However, the use of nonlinear imagers, e.g., x-ray image intensifiers, limited the clinical utility of the earliest diagnostic conebeam CT systems. The development of consumer-electronics large-area displays provided a technical foundation that was leveraged in the 1990s to first produce large-area digital x-ray detectors for use in radiography and then compact flat panels suitable for high-resolution and high-frame-rate conebeam CT. In this review, we show the concurrent evolution of digital flat panel (DFP) technology and clinical conebeam CT. We give a brief summary of conebeam CT reconstruction, followed by a brief review of the correction approaches for DFP-specific artifacts. The historical development and current status of flat-panel conebeam CT in four clinical areas—breast, fixed C-arm, image-guided radiation therapy, and extremity/head—is presented. Advances in DFP technology over the past two decades have led to improved visualization of high-contrast, high-resolution clinical tasks, and image quality now approaches the soft-tissue contrast resolution that is the standard in clinical CT. Future technical developments in DFPs will enable an even broader range of clinical applications; research in the arena of flat-panel CT shows no signs of slowing down.

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Evaluation of a Motion Correction Algorithm for C-Arm Computed Tomography Acquired During Transarterial Chemoembolization

Becker

Gutberlet

Maschke

et al. 2020

Cardiovasc Intervent Radiol

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Purpose 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 (CACTOrg) underwent reconstruction with and without volume punching of high-contrast objects using a 3D image reconstruction software to compensate for motion (CACTMC_bone;CACTMC_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 (CACTOrg) to 328.5 ± 55.1 (CACTMC_bone) and 331 ± 57.8 (CACTMC_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 CACTMC_no bone in all categories (e.g., vessel geometry: CACTOrg: κ = 0.51, CACTMC_bone: κ = 0.42, CACTMC_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

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Clinical impact of a new cone beam CT angiography respiratory motion artifact reduction algorithm during hepatic intra-arterial interventions

Cited by 11 publications

References 15 publications

Exploring software navigation tools for liver tumour angiography: a scoping review

Exploring software navigation tools for liver tumour angiography: a scoping review

Flat-panel conebeam CT in the clinic: history and current state

Evaluation of a Motion Correction Algorithm for C-Arm Computed Tomography Acquired During Transarterial Chemoembolization

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