Andreas Steven Kunz

Dr. Andreas Steven Kunz


Research Focus & Metrics

Academic Career Length

24Years (2003-Present)

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

Representative Publications

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1 April 2017 in Radiology
Verified
Journal Article
Closed access
SVSimon Veldhoen
Simon Veldhoen
AWAndreas M. Weng
Andreas M. Weng
JKJanine Knapp
Janine Knapp
AKAndreas Steven Kunz
Andreas Steven Kunz
DSDaniel Stäb
Daniel Stäb
TBThorsten A. Bley
Thorsten A. Bley
Self-gated non–contrast-enhanced functional lung MR imaging allows for site-resolved assessment of quantitative pulmonary ventilation in patients with cystic fibrosis without contrast material application or breath holds. PurposeTo assess the clinical feasibility of self-gated non–contrast-enhanced functional lung (SENCEFUL) magnetic resonance (MR) imaging for quantitative ventilation (QV) imaging in patients with cystic fibrosis (CF).Materials and MethodsTwenty patients with CF and 20 matched healthy volunteers underwent functional 1.5-T lung MR imaging with the SENCEFUL imaging approach, in which a two-dimensional fast low-angle shot sequence is used with quasi-random sampling. The lungs were manually segmented on the ventilation-weighted images to obtain QV measurements, which were compared between groups. QV values of the patients were correlated with results of pulmonary function testing. Three radiologists rated the images for presence of ventilation deficits by means of visual inspection. Mann-Whitney U tests, receiver operating characteristic analyses, Spearman correlations, and Gwet agreement coefficient analyses were used for statistical analysis.ResultsQV of the entire lungs was lower for patients with CF than f...

15 November 2018 in Annals of Surgical Oncology
Verified
Journal Article
Closed access
PDF file
JRJoachim Reibetanz
Joachim Reibetanz
BRBritta Rinn
Britta Rinn
AKAndreas Steven Kunz
Andreas Steven Kunz
SFSven Flemming
Sven Flemming
CRCristina L Ronchi
Cristina L Ronchi
CJChristian Jurowich
Christian Jurowich

26 April 2017 in RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren
Verified
Journal Article
Open access
PDF file
BPBernhard Petritsch
Bernhard Petritsch
AKAleksander Kosmala
Aleksander Kosmala
TGTobias Gassenmaier
Tobias Gassenmaier
AWAndreas Max Weng
Andreas Max Weng
SVSimon Veldhoen
Simon Veldhoen
TBThorsten Bley
Thorsten Bley
Purpose To compare radiation dose, subjective and objective image quality of 3 rd generation dual-source CT (DSCT) and dual-energy CT (DECT) with conventional 64-slice single-source CT (SSCT) for pulmonary CTA. Materials and Methods 180 pulmonary CTA studies were performed in three patient cohorts of 60 patients each. Group 1: conventional SSCT 120 kV (ref.); group 2: single-energy DSCT 100 kV (ref.); group 3: DECT 90/Sn150 kV. CTDIvol, DLP, effective radiation dose were reported, and CT attenuation (HU) was measured on three central and peripheral levels. The signal-to-noise-ratio (SNR) and contrast-to-noise-ratio (CNR) were calculated. Two readers assessed subjective image quality according to a five-point scale. Results Mean CTDIvol and DLP were significantly lower in the dual-energy group compared to the SSCT group (p < 0.001 [CTDIvol]; p < 0.001 [DLP]) and the DSCT group (p = 0.003 [CTDIvol]; p = 0.003 [DLP]), respectively. The effective dose in the DECT group was 2.79 ± 0.95 mSv and significantly smaller than in the SSCT group (4.60 ± 1.68 mSv, p < 0.001) and the DSCT group (4.24 ± 2.69 mSv, p = 0.003). The SNR and CNR were significantly higher in the DSCT group (p < 0.001). Subjective image quality did not differ significantly among the three protocols and was rated good to excellent in 75 % (135/180) of cases with an inter-observer agreement of 80 %. Conclusion Dual-energy pulmonary CTA protocols of 3 rd generation dual-source scanners allow for significant reduction of radiation dose while providing excellent image quality and potential additional information by means of perfusion maps. Key Points: Citation Format

1 November 2024 in Radiology: Artificial Intelligence
Verified
Journal Article
Closed access
JRJeffrey D. Rudie
Jeffrey D. Rudie
HLHui-Ming Lin
Hui-Ming Lin
RBRobyn L Ball
Robyn L Ball
SJSabeena Jalal
Sabeena Jalal
LPLuciano M prevedello
Luciano M prevedello
ECErrol Colak
Errol Colak
The RSNA Abdominal Traumatic Injury CT (ie, RATIC) dataset contains 4274 abdominal CT studies with annotations related to traumatic injuries and is available at https://www.kaggle.com/competitions/rsna-2023-abdominal-trauma-detection and https://imaging.rsna.org/dataset/5 .

20 October 2022 in Radiography
Verified
Journal Article
Closed access
HHHenner Huflage
Henner Huflage
JGJan-Peter Grunz
Jan-Peter Grunz
AKAndreas Steven Kunz
Andreas Steven Kunz
TPTheresa Sophie Patzer
Theresa Sophie Patzer
SSStephanie Sauer
Stephanie Sauer
KLKarsten Sebastian Luetkens
Karsten Sebastian Luetkens