OBJECTIVE: The aim of this study was to evaluate the diagnostic value of x-ray dark-field imaging in projection radiography-based depiction of pneumothoraces in the neonatal murine lung, a potentially life-threatening medical condition that requires a timely and correct diagnosis. MATERIALS AND METHODS: By the use of a unique preclinical model, 7-day-old C57Bl/6N mice received mechanical ventilation for 2 or 8 hours with oxygen-rich gas (FIO2 = 0.4; n = 24). Unventilated mice either spontaneously breathed oxygen-rich gas (FIO2 = 0.4) for 2 or 8 hours or room air (n = 22). At the end of the experiment, lungs were inflated with a standardized volume of air after a lethal dose of pentobarbital was administered to the pups. All lungs were imaged with a prototype grating-based small-animal scanner to acquire x-ray transmission and dark-field radiographs. Image contrast between the air-filled pleural space and lung tissue was quantified for both transmission and dark-field radiograms. After the independent expert's assessment, 2 blinded readers evaluated all dark-field and transmission images for the presence or absence of pneumothoraces. Contrast ratios, diagnostic accuracy, as well as reader's confidence and interreader agreement were recorded for both imaging modalities. RESULTS: Evaluation of both x-ray transmission and dark-field radiographs by independent experts revealed the development of a total of 10 pneumothoraces in 8 mice. Here, the contrast ratio between the air-filled pleural space of the pneumothoraces and the lung tissue was significantly higher in the dark field (8.4 ± 3.5) when compared with the transmission images (5.1 ± 2.8; P < 0.05). Accordingly, the readers' diagnostic confidence for the diagnosis of pneumothoraces was significantly higher for dark-field compared with transmission images (P = 0.001). Interreader agreement improved from moderate for the analysis of transmission images alone (κ = 0.41) to very good when analyzing dark-field images alone (κ = 0.90) or in combination with transmission images (κ = 0.88). Diagnostic accuracy significantly improved for the analysis of dark-field images alone (P = 0.04) or in combination with transmission images (P = 0.02), compared with the analysis of transmission radiographs only. CONCLUSIONS: The significant improvement in contrast ratios between lung parenchyma and free air in the dark-field images allows the facilitated detection of pneumothoraces in the newborn mouse. These preclinical experiments indicate the potential of the technique for future clinical applications.
OBJECTIVE: The aim of this study was to evaluate the diagnostic value of x-ray dark-field imaging in projection radiography-based depiction of pneumothoraces in the neonatal murine lung, a potentially life-threatening medical condition that requires a timely and correct diagnosis. MATERIALS AND METHODS: By the use of a unique preclinical model, 7-day-old C57Bl/6N mice received mechanical ventilation for 2 or 8 hours with oxygen-rich gas (FIO2 = 0.4; n = 24). Unventilated mice either spontaneously breathed oxygen-rich gas (FIO2 = 0.4) for 2 or 8 hours or room air (n = 22). At the end of the experiment, lungs were inflated with a standardized volume of air after a lethal dose of pentobarbital was administered to the pups. All lungs were imaged with a prototype grating-based small-animal scanner to acquire x-ray transmission and dark-field radiographs. Image contrast between the air-filled pleural space and lung tissue was quantified for both transmission and dark-field radiograms. After the independent expert's assessment, 2 blinded readers evaluated all dark-field and transmission images for the presence or absence of pneumothoraces. Contrast ratios, diagnostic accuracy, as well as reader's confidence and interreader agreement were recorded for both imaging modalities. RESULTS: Evaluation of both x-ray transmission and dark-field radiographs by independent experts revealed the development of a total of 10 pneumothoraces in 8 mice. Here, the contrast ratio between the air-filled pleural space of the pneumothoraces and the lung tissue was significantly higher in the dark field (8.4 ± 3.5) when compared with the transmission images (5.1 ± 2.8; P < 0.05). Accordingly, the readers' diagnostic confidence for the diagnosis of pneumothoraces was significantly higher for dark-field compared with transmission images (P = 0.001). Interreader agreement improved from moderate for the analysis of transmission images alone (κ = 0.41) to very good when analyzing dark-field images alone (κ = 0.90) or in combination with transmission images (κ = 0.88). Diagnostic accuracy significantly improved for the analysis of dark-field images alone (P = 0.04) or in combination with transmission images (P = 0.02), compared with the analysis of transmission radiographs only. CONCLUSIONS: The significant improvement in contrast ratios between lung parenchyma and free air in the dark-field images allows the facilitated detection of pneumothoraces in the newborn mouse. These preclinical experiments indicate the potential of the technique for future clinical applications.
Authors: Lukas B Gromann; Fabio De Marco; Konstantin Willer; Peter B Noël; Kai Scherer; Bernhard Renger; Bernhard Gleich; Klaus Achterhold; Alexander A Fingerle; Daniela Muenzel; Sigrid Auweter; Katharina Hellbach; Maximilian Reiser; Andrea Baehr; Michaela Dmochewitz; Tobias J Schroeter; Frieder J Koch; Pascal Meyer; Danays Kunka; Juergen Mohr; Andre Yaroshenko; Hanns-Ingo Maack; Thomas Pralow; Hendrik van der Heijden; Roland Proksa; Thomas Koehler; Nataly Wieberneit; Karsten Rindt; Ernst J Rummeny; Franz Pfeiffer; Julia Herzen Journal: Sci Rep Date: 2017-07-06 Impact factor: 4.379
Authors: Katharina Hellbach; Andrea Baehr; Fabio De Marco; Konstantin Willer; Lukas B Gromann; Julia Herzen; Michaela Dmochewitz; Sigrid Auweter; Alexander A Fingerle; Peter B Noël; Ernst J Rummeny; Andre Yaroshenko; Hanns-Ingo Maack; Thomas Pralow; Hendrik van der Heijden; Nataly Wieberneit; Roland Proksa; Thomas Koehler; Karsten Rindt; Tobias J Schroeter; Juergen Mohr; Fabian Bamberg; Birgit Ertl-Wagner; Franz Pfeiffer; Maximilian F Reiser Journal: Sci Rep Date: 2018-02-08 Impact factor: 4.379
Authors: Kai Scherer; Andre Yaroshenko; Deniz Ali Bölükbas; Lukas B Gromann; Katharina Hellbach; Felix G Meinel; Margarita Braunagel; Jens von Berg; Oliver Eickelberg; Maximilian F Reiser; Franz Pfeiffer; Silke Meiners; Julia Herzen Journal: Sci Rep Date: 2017-03-24 Impact factor: 4.379
Authors: Alberto Astolfo; Marco Endrizzi; Fabio A Vittoria; Paul C Diemoz; Benjamin Price; Ian Haig; Alessandro Olivo Journal: Sci Rep Date: 2017-05-19 Impact factor: 4.379
Authors: Konstantin Willer; Alexander A Fingerle; Lukas B Gromann; Fabio De Marco; Julia Herzen; Klaus Achterhold; Bernhard Gleich; Daniela Muenzel; Kai Scherer; Martin Renz; Bernhard Renger; Felix Kopp; Fabian Kriner; Florian Fischer; Christian Braun; Sigrid Auweter; Katharina Hellbach; Maximilian F Reiser; Tobias Schroeter; Juergen Mohr; Andre Yaroshenko; Hanns-Ingo Maack; Thomas Pralow; Hendrik van der Heijden; Roland Proksa; Thomas Koehler; Nataly Wieberneit; Karsten Rindt; Ernst J Rummeny; Franz Pfeiffer; Peter B Noël Journal: PLoS One Date: 2018-09-27 Impact factor: 3.240
Authors: Florian Horn; Martino Leghissa; Sebastian Kaeppler; Georg Pelzer; Jens Rieger; Maria Seifert; Johannes Wandner; Thomas Weber; Thilo Michel; Christian Riess; Gisela Anton Journal: Sci Rep Date: 2018-02-02 Impact factor: 4.379
Authors: Katharina Hellbach; Felix G Meinel; Thomas M Conlon; Konstantin Willer; Andre Yaroshenko; Astrid Velroyen; Margarita Braunagel; Sigrid Auweter; Maximilian F Reiser; Oliver Eickelberg; Franz Pfeiffer; Ali Ö Yildirim Journal: Sci Rep Date: 2018-02-01 Impact factor: 4.379