Claus Christian Pieper

Dr. Claus Christian Pieper

orcid

Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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8 July 2019 in Investigative Radiology
Verified
Journal Article
Closed access
CPClaus Christian Pieper
Claus Christian Pieper
SHSaebeom Hur
Saebeom Hur
CSChristof-Matthias Sommer
Christof-Matthias Sommer
GNGregory Nadolski
Gregory Nadolski
GMGeert Maleux
Geert Maleux
MIMaxim Itkin
Maxim Itkin
Lipiodol is an iodinated poppy seed oil first synthesized in 1901. Originally developed for therapeutic purposes, it has mainly become a diagnostic contrast medium since the 1920s. At the end of the 20th century, Lipiodol underwent a transition back to a therapeutic agent, as exemplified by its increasing use in lymphangiography and lymphatic interventions. Nowadays, indications for lymphangiography include chylothorax, chylous ascites, chyluria, and peripheral lymphatic fistula or lymphoceles. In these indications, Lipiodol alone has a therapeutic effect with clinical success in 51% to 100% of cases. The 2 main access sites to the lymphatic system for lymphangiography are cannulation of lymphatic vessels in the foot (transpedal) and direct puncture of (mainly inguinal) lymph nodes (transnodal). In case of failure of lymphangiography alone to occlude the leaking lymphatic vessel as well as in indications such as protein-losing enteropathy, postoperative hepatic lymphorrhea, or plastic bronchitis, lymphatic vessels can also be embolized directly by injecting a mixture of Lipiodol and surgical glues (most commonly in thoracic duct embolization). The aim of this article is to review the historical role of Lipiodol and the evolution of its clinical application in lymphangiography over time until the current state-of-the-art lymphatic imaging techniques and interventions.

1 September 2023 in Radiology
Verified
Journal Article
Closed access
LBLeon M. Bischoff
Leon M. Bischoff
JPJohannes M. Peeters
Johannes M. Peeters
LWLeonie Weinhold
Leonie Weinhold
PKPhilipp Krausewitz
Philipp Krausewitz
Jörg EllingerJörg Ellinger
Jörg Ellinger
JLJulian A. Luetkens
Julian A. Luetkens
Background Deep learning (DL) reconstructions can enhance image quality while decreasing MRI acquisition time. However, DL reconstruction methods combined with compressed sensing for prostate MRI have not been well studied. Purpose To use an industry-developed DL algorithm to reconstruct low-resolution T2-weighted turbo spin-echo (TSE) prostate MRI scans and compare these with standard sequences. Materials and Methods In this prospective study, participants with suspected prostate cancer underwent prostate MRI with a Cartesian standard-resolution T2-weighted TSE sequence (T2C) and non-Cartesian standard-resolution T2-weighted TSE sequence (T2NC) between August and November 2022. Additionally, a low-resolution Cartesian DL-reconstructed T2-weighted TSE sequence (T2DL) with compressed sensing DL denoising and resolution upscaling reconstruction was acquired. Image sharpness was assessed qualitatively by two readers using a five-point Likert scale (from 1 = nondiagnostic to 5 = excellent) and quantitatively by calculating edge rise distance. The Friedman test and one-way analysis of variance with post hoc Bonferroni and Tukey tests, respectively, were used for group comparisons. Prostate Imaging Reporting and Data System (PI-RADS) score agreement between sequences was compared by using Cohen κ. Results This study included 109 male participants (mean age, 68 years ± 8 [SD]). Acquisition time of T2DL was 36% and 29% lower compared with that of T2C and T2NC (mean duration, 164 seconds ± 20 vs 257 seconds ± 32 and 230 seconds ± 28; P < .001 for both). T2DL showed improved image sharpness compared with standard sequences using both qualitative (median score, 5 [IQR, 4-5] vs 4 [IQR, 3-4] for T2C and 4 [IQR, 3-4] for T2NC; P < .001 for both) and quantitative (mean edge rise distance, 0.75 mm ± 0.39 vs 1.15 mm ± 0.68 for T2C and 0.98 mm ± 0.65 for T2NC; P < .001 and P = .01) methods. PI-RADS score agreement between T2NC and T2DL was excellent (κ range, 0.92-0.94 [95% CI: 0.87, 0.98]). Conclusion DL reconstruction of low-resolution T2-weighted TSE sequences enabled accelerated acquisition times and improved image quality compared with standard acquisitions while showing excellent agreement with conventional sequences for PI-RADS ratings. Clinical trial registration no. NCT05820113 © RSNA, 2023 Supplemental material is available for this article. See also the editorial by Turkbey in this issue.

1 October 2020 in Radiology
Verified
Journal Article
Closed access
AIAlexander Isaak
Alexander Isaak
MPMichael Praktiknjo
Michael Praktiknjo
CJChristian Jansen
Christian Jansen
AFAnton Faron
Anton Faron
ASAlois M. Sprinkart
Alois M. Sprinkart
JLJulian A. Luetkens
Julian A. Luetkens
Study participants with liver cirrhosis showed a high burden of cardiac disease at MRI including myocardial inflammation, myocardial fibrosis, and systolic dysfunction. Background Cardiac involvement in liver cirrhosis in the absence of underlying cardiac disease is termed cirrhotic cardiomyopathy. The pathophysiology of this condition is still poorly understood. ...

1 December 2021 in Radiology
Verified
Journal Article
Closed access
AFAnton Faron
Anton Faron
AIAlexander Isaak
Alexander Isaak
NMNarine Mesropyan
Narine Mesropyan
MRMatthäus Reinert
Matthäus Reinert
KSKatjana Schwab
Katjana Schwab
JLJulian A. Luetkens
Julian A. Luetkens
Immune checkpoint inhibitor therapy induced a high burden of subclinical cardiac disease, including myocardial inflammation and systolic dysfunction detected at cardiac MRI. Background Immune checkpoint inhibitors (ICIs) for cancer treatment are associated with a spectrum of immune-related adverse events, including ICI-induced myocarditis; however, the extent of subcli...

1 January 2025 in Radiology
Verified
Journal Article
Closed access
SNSebastian Nowak
Sebastian Nowak
BWBenjamin Wulff
Benjamin Wulff
YLYannik Christian Layer
Yannik Christian Layer
MTMaike Theis
Maike Theis
AIAlexander Isaak
Alexander Isaak
ASAlois M. Sprinkart
Alois M. Sprinkart
Privacy-ensuring, open-weights large language models showed great potential in the extraction of structured content from free-text radiology reports, facilitating the secondary use of clinical databases for applications in data-driven medicine.

29 October 2014 in European Journal of Nuclear Medicine and Molecular Imaging
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Journal Article
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ASAmir Sabet
Amir Sabet
CMCarsten Meyer
Carsten Meyer
AAAnas Aouf
Anas Aouf
ASAmin Sabet
Amin Sabet
SGShahab Ghamari
Shahab Ghamari
Samer EzziddinSamer Ezziddin
Samer Ezziddin