Virtual Non-Contrast Reconstructions of Photon-Counting Detector CT Angiography Datasets as Substitutes for True Non-Contrast Acquisitions in Patients after EVAR—Performance of a Novel Calcium-Preserving Reconstruction Algorithm
The purpose of this study was to evaluate virtual-non contrast reconstructions of Photon-Counting Detector (PCD) CT-angiography datasets using a novel calcium-preserving algorithm (VNCPC) vs. the standard algorithm (VNCConv) for their potential to replace unenhanced acquisitions (TNC) in patients af...
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Published in | Diagnostics (Basel) Vol. 12; no. 3; p. 558 |
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Main Authors | , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Switzerland
MDPI AG
22.02.2022
MDPI |
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Online Access | Get full text |
ISSN | 2075-4418 2075-4418 |
DOI | 10.3390/diagnostics12030558 |
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Abstract | The purpose of this study was to evaluate virtual-non contrast reconstructions of Photon-Counting Detector (PCD) CT-angiography datasets using a novel calcium-preserving algorithm (VNCPC) vs. the standard algorithm (VNCConv) for their potential to replace unenhanced acquisitions (TNC) in patients after endovascular aneurysm repair (EVAR). 20 EVAR patients who had undergone CTA (unenhanced and arterial phase) on a novel PCD-CT were included. VNCConv- and VNCPC-series were derived from CTA-datasets and intraluminal signal and noise compared. Three readers evaluated image quality, contrast removal, and removal of calcifications/stent parts and assessed all VNC-series for their suitability to replace TNC-series. Image noise was higher in VNC- than in TNC-series (18.6 ± 5.3 HU, 16.7 ± 7.1 HU, and 14.9 ± 7.1 HU for VNCConv-, VNCPC-, and TNC-series, p = 0.006). Subjective image quality was substantially higher in VNCPC- than VNCConv-series (4.2 ± 0.9 vs. 2.5 ± 0.6; p < 0.001). Aortic contrast removal was complete in all VNC-series. Unlike in VNCConv-reconstructions, only minuscule parts of stents or calcifications were erroneously subtracted in VNCPC-reconstructions. Readers considered 95% of VNCPC-series fully or mostly suited to replace TNC-series; for VNCConv-reconstructions, however, only 75% were considered mostly (and none fully) suited for TNC-replacement. VNCPC-reconstructions of PCD-CT-angiography datasets have excellent image quality with complete contrast removal and only minimal erroneous subtractions of stent parts/calcifications. They could replace TNC-series in almost all cases. |
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AbstractList | The purpose of this study was to evaluate virtual-non contrast reconstructions of Photon-Counting Detector (PCD) CT-angiography datasets using a novel calcium-preserving algorithm (VNCPC) vs. the standard algorithm (VNCConv) for their potential to replace unenhanced acquisitions (TNC) in patients after endovascular aneurysm repair (EVAR). 20 EVAR patients who had undergone CTA (unenhanced and arterial phase) on a novel PCD-CT were included. VNCConv- and VNCPC-series were derived from CTA-datasets and intraluminal signal and noise compared. Three readers evaluated image quality, contrast removal, and removal of calcifications/stent parts and assessed all VNC-series for their suitability to replace TNC-series. Image noise was higher in VNC- than in TNC-series (18.6 ± 5.3 HU, 16.7 ± 7.1 HU, and 14.9 ± 7.1 HU for VNCConv-, VNCPC-, and TNC-series, p = 0.006). Subjective image quality was substantially higher in VNCPC- than VNCConv-series (4.2 ± 0.9 vs. 2.5 ± 0.6; p < 0.001). Aortic contrast removal was complete in all VNC-series. Unlike in VNCConv-reconstructions, only minuscule parts of stents or calcifications were erroneously subtracted in VNCPC-reconstructions. Readers considered 95% of VNCPC-series fully or mostly suited to replace TNC-series; for VNCConv-reconstructions, however, only 75% were considered mostly (and none fully) suited for TNC-replacement. VNCPC-reconstructions of PCD-CT-angiography datasets have excellent image quality with complete contrast removal and only minimal erroneous subtractions of stent parts/calcifications. They could replace TNC-series in almost all cases. The purpose of this study was to evaluate virtual-non contrast reconstructions of Photon-Counting Detector (PCD) CT-angiography datasets using a novel calcium-preserving algorithm (VNCPC) vs. the standard algorithm (VNCConv) for their potential to replace unenhanced acquisitions (TNC) in patients after endovascular aneurysm repair (EVAR). 20 EVAR patients who had undergone CTA (unenhanced and arterial phase) on a novel PCD-CT were included. VNCConv- and VNCPC-series were derived from CTA-datasets and intraluminal signal and noise compared. Three readers evaluated image quality, contrast removal, and removal of calcifications/stent parts and assessed all VNC-series for their suitability to replace TNC-series. Image noise was higher in VNC- than in TNC-series (18.6 ± 5.3 HU, 16.7 ± 7.1 HU, and 14.9 ± 7.1 HU for VNCConv-, VNCPC-, and TNC-series, p = 0.006). Subjective image quality was substantially higher in VNCPC- than VNCConv-series (4.2 ± 0.9 vs. 2.5 ± 0.6; p < 0.001). Aortic contrast removal was complete in all VNC-series. Unlike in VNCConv-reconstructions, only minuscule parts of stents or calcifications were erroneously subtracted in VNCPC-reconstructions. Readers considered 95% of VNCPC-series fully or mostly suited to replace TNC-series; for VNCConv-reconstructions, however, only 75% were considered mostly (and none fully) suited for TNC-replacement. VNCPC-reconstructions of PCD-CT-angiography datasets have excellent image quality with complete contrast removal and only minimal erroneous subtractions of stent parts/calcifications. They could replace TNC-series in almost all cases.The purpose of this study was to evaluate virtual-non contrast reconstructions of Photon-Counting Detector (PCD) CT-angiography datasets using a novel calcium-preserving algorithm (VNCPC) vs. the standard algorithm (VNCConv) for their potential to replace unenhanced acquisitions (TNC) in patients after endovascular aneurysm repair (EVAR). 20 EVAR patients who had undergone CTA (unenhanced and arterial phase) on a novel PCD-CT were included. VNCConv- and VNCPC-series were derived from CTA-datasets and intraluminal signal and noise compared. Three readers evaluated image quality, contrast removal, and removal of calcifications/stent parts and assessed all VNC-series for their suitability to replace TNC-series. Image noise was higher in VNC- than in TNC-series (18.6 ± 5.3 HU, 16.7 ± 7.1 HU, and 14.9 ± 7.1 HU for VNCConv-, VNCPC-, and TNC-series, p = 0.006). Subjective image quality was substantially higher in VNCPC- than VNCConv-series (4.2 ± 0.9 vs. 2.5 ± 0.6; p < 0.001). Aortic contrast removal was complete in all VNC-series. Unlike in VNCConv-reconstructions, only minuscule parts of stents or calcifications were erroneously subtracted in VNCPC-reconstructions. Readers considered 95% of VNCPC-series fully or mostly suited to replace TNC-series; for VNCConv-reconstructions, however, only 75% were considered mostly (and none fully) suited for TNC-replacement. VNCPC-reconstructions of PCD-CT-angiography datasets have excellent image quality with complete contrast removal and only minimal erroneous subtractions of stent parts/calcifications. They could replace TNC-series in almost all cases. |
Author | Bette, Stefanie Risch, Franka Decker, Josua A. Woźnicki, Piotr Kroencke, Thomas J. Schwarz, Florian Jehs, Bertram Haerting, Mark Braun, Franziska M. Wollny, Claudia Scheurig-Muenkler, Christian |
AuthorAffiliation | 2 Faculty of Medicine, Ludwig Maximilian University of Munich, Geschwister-Scholl-Platz 1, 80539 Munich, Germany 1 Department of Diagnostic and Interventional Radiology, University Hospital Augsburg, Stenglinstr. 2, 86156 Augsburg, Germany; josua.decker@uk-augsburg.de (J.A.D.); stefanie.bette@uk-augsburg.de (S.B.); christian.scheurig@uk-augsburg.de (C.S.-M.); bertram.jehs@uk-augsburg.de (B.J.); franka.risch@uk-augsburg.de (F.R.); piotrekwoznicki@gmail.com (P.W.); franziska.braun@uk-augsburg.de (F.M.B.); mark.haerting@uk-augsburg.de (M.H.); claudia.wollny@uk-augsburg.de (C.W.); florian.schwarz@uk-augsburg.de (F.S.) |
AuthorAffiliation_xml | – name: 1 Department of Diagnostic and Interventional Radiology, University Hospital Augsburg, Stenglinstr. 2, 86156 Augsburg, Germany; josua.decker@uk-augsburg.de (J.A.D.); stefanie.bette@uk-augsburg.de (S.B.); christian.scheurig@uk-augsburg.de (C.S.-M.); bertram.jehs@uk-augsburg.de (B.J.); franka.risch@uk-augsburg.de (F.R.); piotrekwoznicki@gmail.com (P.W.); franziska.braun@uk-augsburg.de (F.M.B.); mark.haerting@uk-augsburg.de (M.H.); claudia.wollny@uk-augsburg.de (C.W.); florian.schwarz@uk-augsburg.de (F.S.) – name: 2 Faculty of Medicine, Ludwig Maximilian University of Munich, Geschwister-Scholl-Platz 1, 80539 Munich, Germany |
Author_xml | – sequence: 1 givenname: Josua A. orcidid: 0000-0001-6876-1373 surname: Decker fullname: Decker, Josua A. – sequence: 2 givenname: Stefanie surname: Bette fullname: Bette, Stefanie – sequence: 3 givenname: Christian surname: Scheurig-Muenkler fullname: Scheurig-Muenkler, Christian – sequence: 4 givenname: Bertram orcidid: 0000-0001-5770-0946 surname: Jehs fullname: Jehs, Bertram – sequence: 5 givenname: Franka orcidid: 0000-0002-9728-4649 surname: Risch fullname: Risch, Franka – sequence: 6 givenname: Piotr surname: Woźnicki fullname: Woźnicki, Piotr – sequence: 7 givenname: Franziska M. surname: Braun fullname: Braun, Franziska M. – sequence: 8 givenname: Mark surname: Haerting fullname: Haerting, Mark – sequence: 9 givenname: Claudia surname: Wollny fullname: Wollny, Claudia – sequence: 10 givenname: Thomas J. orcidid: 0000-0003-4889-1036 surname: Kroencke fullname: Kroencke, Thomas J. – sequence: 11 givenname: Florian orcidid: 0000-0001-9889-5153 surname: Schwarz fullname: Schwarz, Florian |
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Keywords | CT angiography EVAR virtual non-contrast reconstructions radiation dose reduction Photon-Counting Detector CT |
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SubjectTerms | Abdomen Agreements Algorithms Aneurysms Coronary vessels CT angiography EVAR Iodine Medical imaging Noise Patients Photon-Counting Detector CT Radiation radiation dose reduction Scanners Sensors Stents virtual non-contrast reconstructions Work stations |
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Title | Virtual Non-Contrast Reconstructions of Photon-Counting Detector CT Angiography Datasets as Substitutes for True Non-Contrast Acquisitions in Patients after EVAR—Performance of a Novel Calcium-Preserving Reconstruction Algorithm |
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