Download
00261_2023_Article_4042.pdf 1,99MB
WeightNameValue
1000 Titel
  • Optimal conspicuity of pancreatic ductal adenocarcinoma in virtual monochromatic imaging reconstructions on a photon-counting detector CT: comparison to conventional MDCT
1000 Autor/in
  1. Decker, Josua A. |
  2. Becker, Judith |
  3. Härting, Mark |
  4. Jehs, Bertram |
  5. Risch, Franka |
  6. Canalini, Luca |
  7. Wollny, Claudia |
  8. Scheurig-Muenkler, Christian |
  9. Kröncke, Thomas |
  10. Schwarz, Florian |
  11. Bette, Stefanie |
1000 Verlag Springer US
1000 Erscheinungsjahr 2023
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2023-10-05
1000 Erschienen in
1000 Quellenangabe
  • 49(1):103-116
1000 Copyrightjahr
  • 2023
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1007/s00261-023-04042-5 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10789688/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • <jats:title>Abstract</jats:title><jats:sec> <jats:title>Purpose</jats:title> <jats:p>To analyze the conspicuity of pancreatic ductal adenocarcinoma (PDAC) in virtual monoenergetic images (VMI) on a novel photon-counting detector CT (PCD-CT) in comparison to energy-integrating CT (EID-CT).</jats:p> </jats:sec><jats:sec> <jats:title>Methods</jats:title> <jats:p>Inclusion criteria comprised initial diagnosis of PDAC (reference standard: histopathological analysis) and standardized contrast-enhanced CT imaging either on an EID-CT or a PCD-CT. Patients were excluded due to different histopathological diagnosis or missing tumor delineation on CT. On the PCD-CT, 40–190 keV VMI reconstructions were generated. Image noise, tumor-to-pancreas ratio (TPR) and contrast-to-noise ratio (CNR) were analyzed by ROI-based measurements in arterial and portal venous contrast phase. Two board-certified radiologist evaluated image quality and tumor delineation at both, EID-CT and PCD-CT (40 and 70 keV).</jats:p> </jats:sec><jats:sec> <jats:title>Results</jats:title> <jats:p>Thirty-eight patients (mean age 70.4 years ± 10.3 [range 45–91], 27 males; PCD-CT: n=19, EID-CT: n=19) were retrospectively included. On the PCD-CT, tumor conspicuity (reflected by low TPR and high CNR) was significantly improved at low-energy VMI series (≤ 70 keV compared to &gt; 70 keV), both in arterial and in portal venous contrast phase (P &lt; 0.001), reaching the maximum at 40 keV. Comparison between PCD-CT and EID-CT showed significantly higher CNR on the PCD-CT in portal venous contrast phase at &lt; 70 keV (P &lt; 0.016). On the PCD-CT, tumor conspicuity was improved in portal venous contrast phase compared to arterial contrast phase especially at the lower end of the VMI spectrum (≤ 70 keV). Qualitative analysis revealed that tumor delineation is improved in 40 keV reconstructions compared to 70 keV reconstructions on a PCD-CT.</jats:p> </jats:sec><jats:sec> <jats:title>Conclusion</jats:title> <jats:p>PCD-CT VMI reconstructions (≤ 70 keV) showed significantly improved conspicuity of PDAC in quantitative and qualitative analysis in both, arterial and portal venous contrast phase, compared to EID-CT, which may be important for early detection of tumor tissue in clinical routine. Tumor delineation was superior in portal venous contrast phase compared to arterial contrast phase.</jats:p> </jats:sec>
1000 Sacherschließung
lokal Pancreas
lokal Aged [MeSH]
lokal Signal-To-Noise Ratio [MeSH]
lokal Humans [MeSH]
lokal Retrospective Studies [MeSH]
lokal Tomography, X-Ray Computed/methods [MeSH]
lokal Contrast-enhanced CT
lokal Radiographic Image Interpretation, Computer-Assisted/methods [MeSH]
lokal Pancreatic Neoplasms/diagnostic imaging [MeSH]
lokal Virtual monoenergetic imaging
lokal Male [MeSH]
lokal Pancreatic ductal adenocarcinoma
lokal Carcinoma, Pancreatic Ductal/diagnostic imaging [MeSH]
lokal Photon-counting detector computed tomography
lokal Radiography, Dual-Energy Scanned Projection/methods [MeSH]
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/RGVja2VyLCBKb3N1YSBBLg==|https://frl.publisso.de/adhoc/uri/QmVja2VyLCBKdWRpdGg=|https://frl.publisso.de/adhoc/uri/SMOkcnRpbmcsIE1hcms=|https://frl.publisso.de/adhoc/uri/SmVocywgQmVydHJhbQ==|https://frl.publisso.de/adhoc/uri/UmlzY2gsIEZyYW5rYQ==|https://frl.publisso.de/adhoc/uri/Q2FuYWxpbmksIEx1Y2E=|https://frl.publisso.de/adhoc/uri/V29sbG55LCBDbGF1ZGlh|https://frl.publisso.de/adhoc/uri/U2NoZXVyaWctTXVlbmtsZXIsIENocmlzdGlhbg==|https://orcid.org/0000-0003-4889-1036|https://frl.publisso.de/adhoc/uri/U2Nod2FyeiwgRmxvcmlhbg==|https://frl.publisso.de/adhoc/uri/QmV0dGUsIFN0ZWZhbmll
1000 Hinweis
  • DeepGreen-ID: f6b42e09b8374ef6b1c4850bd16fa146 ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
1000 Label
1000 Förderer
  1. Universität Augsburg |
1000 Fördernummer
  1. -
1000 Förderprogramm
  1. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Universität Augsburg |
    1000 Förderprogramm -
    1000 Fördernummer -
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6502578.rdf
1000 Erstellt am 2025-02-05T17:09:53.951+0100
1000 Erstellt von 322
1000 beschreibt frl:6502578
1000 Zuletzt bearbeitet 2025-09-14T18:57:39.379+0200
1000 Objekt bearb. Sun Sep 14 18:57:39 CEST 2025
1000 Vgl. frl:6502578
1000 Oai Id
  1. oai:frl.publisso.de:frl:6502578 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

View source