X-ray Dark-field Radiography - In-Vivo Diagnosis of Lung Cancer in Mice

Overview

Journal Sci Rep

Specialty Science

Date 2017 Mar 26

PMID 28341830

Citations 27

Authors

Kai Scherer

Andre Yaroshenko

Deniz Ali Bolukbas

Lukas B Gromann

Katharina Hellbach

Felix G Meinel

Margarita Braunagel

Jens von Berg

Oliver Eickelberg

Maximilian F Reiser

Franz Pfeiffer

Silke Meiners

Julia Herzen

Affiliations

Soon will be listed here.

Abstract

Accounting for about 1.5 million deaths annually, lung cancer is the prevailing cause of cancer deaths worldwide, mostly associated with long-term smoking effects. Numerous small-animal studies are performed currently in order to better understand the pathogenesis of the disease and to develop treatment strategies. Within this letter, we propose to exploit X-ray dark-field imaging as a novel diagnostic tool for the detection of lung cancer on projection radiographs. Here, we demonstrate in living mice bearing lung tumors, that X-ray dark-field radiography provides significantly improved lung tumor detection rates without increasing the number of false-positives, especially in the case of small and superimposed nodules, when compared to conventional absorption-based imaging. While this method still needs to be adapted to larger mammals and finally humans, the technique presented here can already serve as a valuable tool in evaluating novel lung cancer therapies, tested in mice and other small animal models.

Citing Articles

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Gassert F, Bast H, Urban T, Frank M, Gassert F, Willer K Front Radiol. 2025; 4:1487895.

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Simulated low-dose dark-field radiography for detection of COVID-19 pneumonia.

Schick R, Bast H, Frank M, Urban T, Koehler T, Gassert F PLoS One. 2024; 19(12):e0316104.

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Laboratory-based x-ray dark-field microscopy.

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PMID: 39323906 PMC: 11423780. DOI: 10.1103/physrevapplied.20.064039.

Grating-based x-ray dark-field CT for lung cancer diagnosis in mice.

Guo P, Zhang L, Lu J, Zhang H, Zhu X, Wu C Eur Radiol Exp. 2024; 8(1):12.

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On the quantification of sample microstructure using single-exposure x-ray dark-field imaging via a single-grid setup.

How Y, Paganin D, Morgan K Sci Rep. 2023; 13(1):11001.

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