Photon-counting computed tomography – clinical application in oncological, cardiovascular, and pediatric radiology

Florian Hagen; Martin Soschynski; Meike Weis; Muhammad Taha Hagar; Patrick Krumm; Isabelle Ayx; Jana Taron; Tobias Krauss; Manuel Hein; Philipp Ruile; Constantin von zur Muehlen; Christopher L. Schlett; Jakob Neubauer; Ilias Tsiflikas; Maximilian Frederik Russe; Philipp Arnold; Sebastian Faby; Matthias F. Froelich; Jakob Weiß; Thomas Stein; Daniel Overhoff; Malte Bongers; Konstantin Nikolaou; Stefan O. Schönberg; Fabian Bamberg; Marius Horger

doi:10.1055/a-2119-5802

RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren, Inhaltsverzeichnis

Rofo 2024; 196(01): 25-35
DOI: 10.1055/a-2119-5802

Review

Photon-Counting Computertomographie – klinische Anwendungen in der onkologischen, kardiovaskulären und pädiatrischen Radiologie

Artikel in mehreren Sprachen: English | deutsch

Florian Hagen

¹Department of Diagnostic and Interventional Radiology, University Hospital Tübingen, Tübingen, Germany

,

Martin Soschynski

²Department of Diagnostic and Interventional Radiology, Medical Center – University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany

,

Meike Weis

³Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany

,

Muhammad Taha Hagar

²Department of Diagnostic and Interventional Radiology, Medical Center – University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany

,

Patrick Krumm

¹Department of Diagnostic and Interventional Radiology, University Hospital Tübingen, Tübingen, Germany

,

Isabelle Ayx

³Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany

,

Jana Taron

²Department of Diagnostic and Interventional Radiology, Medical Center – University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany

,

Tobias Krauss

²Department of Diagnostic and Interventional Radiology, Medical Center – University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany

,

Manuel Hein

⁴Department of Cardiology & Angiology, University Heart Center Freiburg – Bad Krozingen, University Hospital Freiburg, Faculty of medicine, 79106 Freiburg, Germany

,

Philipp Ruile

⁴Department of Cardiology & Angiology, University Heart Center Freiburg – Bad Krozingen, University Hospital Freiburg, Faculty of medicine, 79106 Freiburg, Germany

,

Constantin von zur Muehlen

⁴Department of Cardiology & Angiology, University Heart Center Freiburg – Bad Krozingen, University Hospital Freiburg, Faculty of medicine, 79106 Freiburg, Germany

,

Christopher L. Schlett

²Department of Diagnostic and Interventional Radiology, Medical Center – University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany

,

Jakob Neubauer

²Department of Diagnostic and Interventional Radiology, Medical Center – University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany

,

Ilias Tsiflikas

¹Department of Diagnostic and Interventional Radiology, University Hospital Tübingen, Tübingen, Germany

,

Maximilian Frederik Russe

²Department of Diagnostic and Interventional Radiology, Medical Center – University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany

,

Philipp Arnold

²Department of Diagnostic and Interventional Radiology, Medical Center – University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany

,

Sebastian Faby

⁵Computed Tomography, Siemens Healthcare GmbH, Forchheim, Germany

,

Matthias F. Froelich

³Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany

,

Jakob Weiß

²Department of Diagnostic and Interventional Radiology, Medical Center – University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany

,

Thomas Stein

²Department of Diagnostic and Interventional Radiology, Medical Center – University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany

,

Daniel Overhoff

³Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany

,

Malte Bongers

¹Department of Diagnostic and Interventional Radiology, University Hospital Tübingen, Tübingen, Germany

,

Konstantin Nikolaou

¹Department of Diagnostic and Interventional Radiology, University Hospital Tübingen, Tübingen, Germany

,

Stefan O. Schönberg

³Department of Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany

,

Fabian Bamberg

²Department of Diagnostic and Interventional Radiology, Medical Center – University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany

,

Marius Horger

¹Department of Diagnostic and Interventional Radiology, University Hospital Tübingen, Tübingen, Germany

› Institutsangaben

Abstract

Zusammenfassung

Hintergrund Die Technologie der photonenzählenden Computertomografie (PCD-CT) hat Einzug in die klinische Praxis gehalten und wird erstmals in der klinischen Routine eingesetzt. Während die ersten Erfahrungen mit diesem Verfahren in bestimmten Patientengruppen gemacht werden, hat die Technologie das Potenzial, bestehende Arbeitsabläufe zu verändern und neue Möglichkeiten in der diagnostischen Bildgebung zu öffnen.

Methode Der Inhalt dieser Übersicht basiert auf einer uneingeschränkten Literaturrecherche in den Datenbanken PubMed und Google Scholar unter der Verwendung der Suchwörter „Photon-Counting CT“, „Photon-Counting detector“, „spectral CT“, „Computed Tomography“ sowie auf den Erfahrungen der Autoren.

Ergebnisse Der grundlegende Unterschied zu den derzeit etablierten energieintegrierenden CT-Detektoren besteht darin, dass die PCD-CT die Zählung jedes einzelnen Photons auf Detektorebene ermöglicht. Basierend auf der identifizierten Literatur haben PCD-CT-Phantommessungen und erste klinische Studien gezeigt, dass die neue Technologie eine verbesserte räumliche Auflösung, ein reduziertes Bildrauschen, Potenzial zur erheblichen Dosisreduktion und neue Möglichkeiten für quantitative Bildnachbearbeitung ermöglicht.

Schlussfolgerung PCD-CT ist eine neuartige, innovative Technologie mit dem Potenzial, viele der derzeitigen Einschränkungen der CT-Bildgebung in der klinischen Praxis zu überwinden. Insbesondere kritische Patientengruppen, wie onkologische, kardiovaskuläre, pneumologische als auch pädiatrische Patientenkollektive profitieren von den klinischen Vorteilen.

Kernaussagen:

Die PCD-CT wird erstmals in der klinischen Routine eingesetzt und ermöglicht in kritischen Patientenkollektiven, wie der Onkologie, Kardiologie, Pulmonologie und Pädiatrie eine signifikante Dosisreduktion.
Im Vergleich zur herkömmlichen CT ermöglicht die PCD-CT eine Reduzierung des elektronischen Bildrauschens.
Durch die spektralen Datensätze ermöglicht das PCD-CT vollumfängliche Nachbearbeitungs-Applikationen.

Zitierweise

Hagen F, Soschynski M, Weis M et al. Photon-counting computed tomography – clinical application in oncological, cardiovascular, and pediatric radiology. Fortschr Röntgenstr 2024; 196: 25 – 35

Key words

photon-counting - computed tomography - diagnostic imaging - photon-counting detector - spectral computed tomography - energy-integrating detector

Volltext

Referenzen

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