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Accuracy Assessment of Percutaneous Pedicle Screw Placement Using Cone Beam Computed Tomography with Metal Artifact Reduction

Metal artifact reduction (MAR) algorithms are used with cone beam computed tomography (CBCT) during augmented reality surgical navigation for minimally invasive pedicle screw instrumentation. The aim of this study was to assess intra- and inter-observer reliability of pedicle screw placement and to...

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Autores principales: Charles, Yann Philippe, Al Ansari, Rawan, Collinet, Arnaud, De Marini, Pierre, Schwartz, Jean, Nachabe, Rami, Schäfer, Dirk, Brendel, Bernhard, Gangi, Afshin, Cazzato, Roberto Luigi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9228786/
https://www.ncbi.nlm.nih.gov/pubmed/35746396
http://dx.doi.org/10.3390/s22124615
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author Charles, Yann Philippe
Al Ansari, Rawan
Collinet, Arnaud
De Marini, Pierre
Schwartz, Jean
Nachabe, Rami
Schäfer, Dirk
Brendel, Bernhard
Gangi, Afshin
Cazzato, Roberto Luigi
author_facet Charles, Yann Philippe
Al Ansari, Rawan
Collinet, Arnaud
De Marini, Pierre
Schwartz, Jean
Nachabe, Rami
Schäfer, Dirk
Brendel, Bernhard
Gangi, Afshin
Cazzato, Roberto Luigi
author_sort Charles, Yann Philippe
collection PubMed
description Metal artifact reduction (MAR) algorithms are used with cone beam computed tomography (CBCT) during augmented reality surgical navigation for minimally invasive pedicle screw instrumentation. The aim of this study was to assess intra- and inter-observer reliability of pedicle screw placement and to compare the perception of baseline image quality (NoMAR) with optimized image quality (MAR). CBCT images of 24 patients operated on for degenerative spondylolisthesis using minimally invasive lumbar fusion were analyzed retrospectively. Images were treated using NoMAR and MAR by an engineer, thus creating 48 randomized files, which were then independently analyzed by 3 spine surgeons and 3 radiologists. The Gertzbein and Robins classification was used for screw accuracy rating, and an image quality scale rated the clarity of pedicle screw and bony landmark depiction. Intra-class correlation coefficients (ICC) were calculated. NoMAR and MAR led to similarly good intra-observer (ICC > 0.6) and excellent inter-observer (ICC > 0.8) assessment reliability of pedicle screw placement accuracy. The image quality scale showed more variability in individual image perception between spine surgeons and radiologists (ICC range 0.51–0.91). This study indicates that intraoperative screw positioning can be reliably assessed on CBCT for augmented reality surgical navigation when using optimized image quality. Subjective image quality was rated slightly superior for MAR compared to NoMAR.
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spelling pubmed-92287862022-06-25 Accuracy Assessment of Percutaneous Pedicle Screw Placement Using Cone Beam Computed Tomography with Metal Artifact Reduction Charles, Yann Philippe Al Ansari, Rawan Collinet, Arnaud De Marini, Pierre Schwartz, Jean Nachabe, Rami Schäfer, Dirk Brendel, Bernhard Gangi, Afshin Cazzato, Roberto Luigi Sensors (Basel) Article Metal artifact reduction (MAR) algorithms are used with cone beam computed tomography (CBCT) during augmented reality surgical navigation for minimally invasive pedicle screw instrumentation. The aim of this study was to assess intra- and inter-observer reliability of pedicle screw placement and to compare the perception of baseline image quality (NoMAR) with optimized image quality (MAR). CBCT images of 24 patients operated on for degenerative spondylolisthesis using minimally invasive lumbar fusion were analyzed retrospectively. Images were treated using NoMAR and MAR by an engineer, thus creating 48 randomized files, which were then independently analyzed by 3 spine surgeons and 3 radiologists. The Gertzbein and Robins classification was used for screw accuracy rating, and an image quality scale rated the clarity of pedicle screw and bony landmark depiction. Intra-class correlation coefficients (ICC) were calculated. NoMAR and MAR led to similarly good intra-observer (ICC > 0.6) and excellent inter-observer (ICC > 0.8) assessment reliability of pedicle screw placement accuracy. The image quality scale showed more variability in individual image perception between spine surgeons and radiologists (ICC range 0.51–0.91). This study indicates that intraoperative screw positioning can be reliably assessed on CBCT for augmented reality surgical navigation when using optimized image quality. Subjective image quality was rated slightly superior for MAR compared to NoMAR. MDPI 2022-06-18 /pmc/articles/PMC9228786/ /pubmed/35746396 http://dx.doi.org/10.3390/s22124615 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Charles, Yann Philippe
Al Ansari, Rawan
Collinet, Arnaud
De Marini, Pierre
Schwartz, Jean
Nachabe, Rami
Schäfer, Dirk
Brendel, Bernhard
Gangi, Afshin
Cazzato, Roberto Luigi
Accuracy Assessment of Percutaneous Pedicle Screw Placement Using Cone Beam Computed Tomography with Metal Artifact Reduction
title Accuracy Assessment of Percutaneous Pedicle Screw Placement Using Cone Beam Computed Tomography with Metal Artifact Reduction
title_full Accuracy Assessment of Percutaneous Pedicle Screw Placement Using Cone Beam Computed Tomography with Metal Artifact Reduction
title_fullStr Accuracy Assessment of Percutaneous Pedicle Screw Placement Using Cone Beam Computed Tomography with Metal Artifact Reduction
title_full_unstemmed Accuracy Assessment of Percutaneous Pedicle Screw Placement Using Cone Beam Computed Tomography with Metal Artifact Reduction
title_short Accuracy Assessment of Percutaneous Pedicle Screw Placement Using Cone Beam Computed Tomography with Metal Artifact Reduction
title_sort accuracy assessment of percutaneous pedicle screw placement using cone beam computed tomography with metal artifact reduction
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9228786/
https://www.ncbi.nlm.nih.gov/pubmed/35746396
http://dx.doi.org/10.3390/s22124615
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