@article{WengKoestlerBleyetal.2021, author = {Weng, Andreas M. and K{\"o}stler, Herbert and Bley, Thorsten A. and Ritter, Christian O.}, title = {Effect of short-term smoking \& L-arginine on coronary endothelial function assessed by cardiac magnetic resonance cold pressor testing: a pilot study}, series = {BMC Cardiovascular Disorders}, volume = {21}, journal = {BMC Cardiovascular Disorders}, doi = {10.1186/s12872-021-02050-1}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-260559}, year = {2021}, abstract = {Background The effect of smoking on coronary vasomotion has been investigated in the past with various imaging techniques in both short- and long-term smokers. Additionally, coronary vasomotion has been shown to be normalized in long-term smokers by L-Arginine acting as a substrate for NO synthase, revealing the coronary endothelium as the major site of abnormal vasomotor response. Aim of the prospective cohort study was to investigate coronary vasomotion of young healthy short-term smokers via magnetic resonance cold pressor test with and without the administration of L-Arginine and compare obtained results with the ones from nonsmokers. Methods Myocardial blood flow (MBF) was quantified with first-pass perfusion MRI on a 1.5 T scanner in healthy short-term smokers (N = 10, age: 25.0 ± 2.8 years, 5.0 ± 2.9 pack years) and nonsmokers (N = 10, age: 34.3 ± 13.6) both at rest and during cold pressor test (CPT). Smokers underwent an additional examination after administration of L-Arginine within a median of 7 days of the na{\"i}ve examination. Results MBF at rest turned out to be 0.77 ± 0.30 (smokers with no L-Arginine; mean ± standard deviation), 0.66 ± 0.21 (smokers L-Arginine) and 0.84 ± 0.08 (nonsmokers). Values under CPT were 1.21 ± 0.42 (smokers no L-Arginine), 1.09 ± 0.35 (smokers L-Arginine) and 1.63 ± 0.33 (nonsmokers). In all groups, MBF was significantly increased under CPT compared to the corresponding rest examination (p < 0.05 in all cases). Additionally, MBF under CPT was significantly different between the smokers and the nonsmokers (p = 0.002). MBF at rest was significantly different between the smokers when L-Arginine was given and the nonsmokers (p = 0.035). Conclusion Short-term smokers showed a reduced response to cold both with and without the administration of L-Arginine. However, absolute MBF values under CPT were lower compared to nonsmokers independently of L-Arginine administration.}, language = {en} } @article{WengHeidenreichMetzetal.2021, author = {Weng, Andreas M. and Heidenreich, Julius F. and Metz, Corona and Veldhoen, Simon and Bley, Thorsten A. and Wech, Tobias}, title = {Deep learning-based segmentation of the lung in MR-images acquired by a stack-of-spirals trajectory at ultra-short echo-times}, series = {BMC Medical Imaging}, volume = {21}, journal = {BMC Medical Imaging}, doi = {10.1186/s12880-021-00608-1}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-260520}, year = {2021}, abstract = {Background Functional lung MRI techniques are usually associated with time-consuming post-processing, where manual lung segmentation represents the most cumbersome part. The aim of this study was to investigate whether deep learning-based segmentation of lung images which were scanned by a fast UTE sequence exploiting the stack-of-spirals trajectory can provide sufficiently good accuracy for the calculation of functional parameters. Methods In this study, lung images were acquired in 20 patients suffering from cystic fibrosis (CF) and 33 healthy volunteers, by a fast UTE sequence with a stack-of-spirals trajectory and a minimum echo-time of 0.05 ms. A convolutional neural network was then trained for semantic lung segmentation using 17,713 2D coronal slices, each paired with a label obtained from manual segmentation. Subsequently, the network was applied to 4920 independent 2D test images and results were compared to a manual segmentation using the S{\o}rensen-Dice similarity coefficient (DSC) and the Hausdorff distance (HD). Obtained lung volumes and fractional ventilation values calculated from both segmentations were compared using Pearson's correlation coefficient and Bland Altman analysis. To investigate generalizability to patients outside the CF collective, in particular to those exhibiting larger consolidations inside the lung, the network was additionally applied to UTE images from four patients with pneumonia and one with lung cancer. Results The overall DSC for lung tissue was 0.967 ± 0.076 (mean ± standard deviation) and HD was 4.1 ± 4.4 mm. Lung volumes derived from manual and deep learning based segmentations as well as values for fractional ventilation exhibited a high overall correlation (Pearson's correlation coefficent = 0.99 and 1.00). For the additional cohort with unseen pathologies / consolidations, mean DSC was 0.930 ± 0.083, HD = 12.9 ± 16.2 mm and the mean difference in lung volume was 0.032 ± 0.048 L. Conclusions Deep learning-based image segmentation in stack-of-spirals based lung MRI allows for accurate estimation of lung volumes and fractional ventilation values and promises to replace the time-consuming step of manual image segmentation in the future.}, language = {en} } @phdthesis{Welsch2021, author = {Welsch, Stefan}, title = {Die Rolle des iFlow-Algortithmus im Rahmen der endovaskul{\"a}ren Therapie von symptomatischen Nierenarterienstenosen}, doi = {10.25972/OPUS-22332}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-223324}, school = {Universit{\"a}t W{\"u}rzburg}, year = {2021}, abstract = {Das Ziel dieser Arbeit war herauszufinden, ob der iFlow-Algorithmus als zus{\"a}tzlicher Parameter zu Evaluierung des technischen Erfolgs einer Revaskularisation einer Nierenarterienstenose eingesetzt werden kann. Hierf{\"u}r haben wir die „mean time to peak" in Sekunden in den farbcodierten Bildern gemessen, um den Effekt einer Stentimplantation auf den Blutfluss zu eruieren. Im Verlauf haben wir dann getestet, ob unsere Ergebnisse den klinischen Verlauf unserer Patienten wiederspiegeln, um feststellen zu k{\"o}nnen, ob die syngo iFlow-Software den Erfolg der endovaskul{\"a}ren Therapie voraussagen kann.}, subject = {endovascular}, language = {de} } @phdthesis{Thein2021, author = {Thein, Irina}, title = {Monochromatische DSA versus farbkodierte DSA in der Entscheidungsfindung zur Stentimplantation bei pAVK}, doi = {10.25972/OPUS-24056}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-240562}, school = {Universit{\"a}t W{\"u}rzburg}, year = {2021}, abstract = {In der vorliegenden Arbeit wurde untersucht, ob die farbige DSA-Darstellungsweise besser als die monochromatische dazu geeignet ist, eine Entscheidung {\"u}ber eine m{\"o}gliche Stentimplantation bei pAVK zu treffen. Hierf{\"u}r wurden DSA-Daten des Universit{\"a}tsklinikums W{\"u}rzburg im Zeitraum 04/2014 - 10/2015 retrospektiv ausgewertet. Drei {\"A}rzte bewerteten die Bilder in zwei getrennten Durchg{\"a}ngen bez{\"u}glich ihrer Entscheidung zur Stentimplantation. Diese Entscheidungen wurden mit einem Konsensus aus 2 {\"A}rzten verglichen. Anhand von ROC-Analysen konnte so die Treffsicherheit der Entscheidungen evaluiert werden. In der Studie stellte sich die farbkodierte Darstellung im Vergleich zur monochromatischen Darstellung nicht als {\"u}berlegen heraus.}, subject = {Digitale Subtraktionsangiographie}, language = {de} } @phdthesis{Schmid2021, author = {Schmid, Andrea}, title = {Diagnostische Genauigkeit der Dual-Energy Computertomographie Angiographie bei Patienten mit peripherer arterieller Verschlusskrankheit}, doi = {10.25972/OPUS-25113}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-251137}, school = {Universit{\"a}t W{\"u}rzburg}, year = {2021}, abstract = {Es wurde die diagnostische Genauigkeit f{\"u}nf verschiedener Rekonstruktionsalgorithmen der DE-CTA der Becken-Bein-Gef{\"a}ße von Patienten mit pAVK an einem Dual-Source CT mit dem diagnostischen Goldstandard der DSA verglichen. Die DE-CTA zeigte eine exzellente Sensitivit{\"a}t an Becken- und Beingef{\"a}ßen hinsichtlich einer korrekten Stenosegraduierung, unabh{\"a}ngig von der Rekonstruktion. Die Standard MPR zeigte insgesamt die besten Ergebnisse und ist deshalb vor allem in nicht eindeutigen F{\"a}llen die Methode der Wahl. Die Auswertung von DE-CS MPRs, DE-CS MIPs, gekr{\"u}mmten MPRs oder die semi-automatische quantitative Stenosegradauswertung bringt keinen Zugewinn an diagnostischer Performance im Vergleich zur visuellen Auswertung der Standard MPR. Das Ausmaß der Gef{\"a}ßwandverkalkungen und die intraluminale Kontrastierung hatten keinen signifikanten Effekt auf die Sensitivit{\"a}t zur Erkennung signifikanter Stenosen an den Becken- und Beingef{\"a}ßen. Jedoch verschlechterten sich die Spezifit{\"a}t und die Genauigkeit der Rekonstruktionen, welche auf der DE-Knochen- und DE-Plaqueentfernung basieren, signifikant in stark verkalkten oder nur schwach kontrastierten Gef{\"a}ßsegmenten. Beim Auswerten von DE-CS Rekonstruktionen ist infolgedessen vor allem in schlecht kontrastierten oder stark verkalkten Gef{\"a}ßen eine weitere Verifizierung des Befundes n{\"o}tig, um unn{\"o}tige invasive DSAs als Folge von falsch positiven CTA-Befunden zu reduzieren.}, subject = {Dual-Source-Computertomographie}, language = {de} } @phdthesis{Richter2021, author = {Richter, Julian Alexander J{\"u}rgen}, title = {Wave-CAIPI for Accelerated Dynamic MRI of the Thorax}, doi = {10.25972/OPUS-23207}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-232071}, school = {Universit{\"a}t W{\"u}rzburg}, year = {2021}, abstract = {In summary, the wave-CAIPI k-space trajectory presents an efficient sampling strategy for accelerated MR acquisitions. Using wave-CAIPI in parallel imaging reconstructions leads to a reduced noise level in the reconstructed images, compared to the Cartesian standard trajectory. This effect could be quantified by means of noise and SNR calculations. An SNR gain can be traded for a reduced scan time, i.e., additional undersampling, or for an enhanced image quality, keeping scan time constant. Acceleration of MR imaging is especially important in dynamic applications, since these examinations are inherently time-consuming. The impact of wave-CAIPI sampling on image quality and its potential for scan time reduction was investigated for two dynamic applications: self-gated dynamic 3D lung MRI during free breathing and cardiac 4D flow MRI. Dynamic 3D Lung MRI By employing wave-CAIPI sampling in self-gated, free-breathing dynamic 3D lung MRI for the purpose of radiotherapy treatment planning, the image quality of accelerated scans could be enhanced. Volunteer examinations were used to quantify image quality by means of similarity between accelerated and reference images. To this end, the normalized mutual information and the root-mean-square error were chosen as quantitative image similarity measures. The wave-CAIPI sampling was shown to exhibit superior quality, especially for short scan times. The values of the normalized mutual information were (10.2 +- 7.3)\% higher in the wave-CAIPI case -- the root-mean-square error was (18.9 +- 13.2)\% lower on average. SNR calculations suggest an average SNR benefit of around 14\% for the wave-CAIPI, compared to Cartesian sampling. Resolution of the lung in 8 breathing states can be achieved in only 2 minutes. By using the wave-CAIPI k-space trajectory, precise tumor delineation and assessment of respiration-induced displacement is facilitated. Cardiac 4D Flow MRI In 4D flow MRI, acceleration of the image acquisition is essential to incorporate the corresponding scan protocols into clinical routine. In this work, a retrospective 6-fold acceleration of the image acquisition was realized. Cartesian and wave-CAIPI 4D flow examinations of healthy volunteers were used to quantify uncertainties in flow parameters for the respective sampling schemes. By employing wave-CAIPI sampling, the estimated errors in flow parameters in 6-fold accelerated scans could be reduced by up to 55\%. Noise calculations showed that the noise level in 6-fold accelerated 4D flow acquisitions with wave-CAIPI is 43\% lower, compared to Cartesian sampling. Comparisons between Cartesian and wave-CAIPI 4D flow examinations with a prospective acceleration factor R=2 revealed small, but partly statistically significant discrepancies. Differences between 2-fold and 6-fold accelerated wave-CAIPI scans are comparable to the differences between Cartesian and wave-CAIPI examinations at R=2. Wave-CAIPI 4D flow acquisitions of the aorta could be performed with an average, simulated scan time of under 4 minutes, with reduced uncertainties in flow parameters. Important visualizations of hemodynamic flow patterns in the aorta were only slightly affected by undersampling in the wave-CAIPI case, whereas for Cartesian sampling, considerable discrepancies were observed.}, subject = {Magnetresonanztomographie}, language = {en} } @article{ReichelHerzelTabbakhetal.2021, author = {Reichel, Thomas and Herz, Stefan and el Tabbakh, Mohammed and Bley, Thorsten Alexander and Plumhoff, Piet and Rueckl, Kilian}, title = {Less than 9.5-mm coracohumeral distance on axial magnetic resonance imaging scans predicts for subscapularis tear}, series = {JSES International}, volume = {5}, journal = {JSES International}, number = {3}, doi = {10.1016/j.jseint.2021.01.014}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-259118}, pages = {424-429}, year = {2021}, abstract = {Background Diagnosis of subscapularis (SSC) tendon lesions on magnetic resonance imaging (MRI) can be challenging. A small coracohumeral distance (CHD) has been associated with SSC tears. This study was designed to define a specific threshold value for CHD to predict SSC tears on axial MRI scans. Methods This retrospective study included 172 shoulders of 168 patients who underwent arthroscopic surgery for rotator cuff tear or glenohumeral instability. Diagnostic arthroscopy confirmed an SSC tear in 62 cases (36.0\%, test group a), rotator cuff tear tears other than SSC in 71 cases (41.3\%, control group b) and glenohumeral instability without any rotator cuff tear in 39 cases (22.7\%, zero-sample group c). All patients had a preoperative MRI of the shoulder (1.5T or 3T). Minimum CHD was measured on axial fat-suppressed proton density-, T2-, or T1-weigthed sequences. Receiver operating characteristics analysis was used to determine the threshold value for CHD, and sensitivity and specificity were calculated. Results CHD measurement had a good interobserver reliability (Intraclass correlation coefficient 0.799). Mean CHD was highly significantly (P < .001) less for test group a (mean 7.3 mm, standard deviation ± 2.2) compared with control group b (mean 11.1 mm, standard deviation ± 2.3) or zero-sample group c (mean 13.6 mm, standard deviation ± 2.9). A threshold value of CHD <9.5 mm had a sensitivity of 83.6\% and a specificity of 83.9\% to predict SSC tears. Conclusion A CHD <9.5 mm on MRI is predictive of SSC lesions and a valuable tool to diagnose SSC tears.}, language = {en} } @article{PetritschPannbeckerWengetal.2021, author = {Petritsch, Bernhard and Pannbecker, Pauline and Weng, Andreas M. and Grunz, Jan-Peter and Veldhoen, Simon and Bley, Thorsten A. and Kosmala, Aleksander}, title = {Split-filter dual-energy CT pulmonary angiography for the diagnosis of acute pulmonary embolism: a study on image quality and radiation dose}, series = {Quantitative Imaging in Medicine and Surgery}, volume = {11}, journal = {Quantitative Imaging in Medicine and Surgery}, number = {5}, doi = {10.21037/qims-20-740}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-231456}, pages = {1817-1827}, year = {2021}, abstract = {Background: Computed tomography (CT) pulmonary angiography is the diagnostic reference standard in suspected pulmonary embolism (PE). Favorable results for dual-energy CT (DECT) images have been reported for this condition. Nowadays, dual-energy data acquisition is feasible with different technical options, including a single-source split-filter approach. Therefore, the aim of this retrospective study was to investigate image quality and radiation dose of thoracic split-filter DECT in comparison to conventional single-energy CT in patients with suspected PE. Methods: A total of 110 CT pulmonary angiographies were accomplished either as standard single-energy CT with automatic tube voltage selection (ATVS) (n=58), or as split-filter DECT (n=52). Objective [pulmonary artery CT attenuation, signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR)] and subjective image quality [four-point Likert scale; three readers (R)] were compared among the two study groups. Size-specific dose estimates (SSDE), dose-length-product (DLP) and volume CT dose index (CTDIvol) were assessed for radiation dose analysis. Results: Split-filter DECT images yielded 67.7\% higher SNR (27.0 vs. 16.1; P<0.001) and 61.9\% higher CNR (22.5 vs. 13.9; P<0.001) over conventional single-energy images, whereas CT attenuation was significantly lower (344.5 vs. 428.2 HU; P=0.013). Subjective image quality was rated good or excellent in 93.0\%/98.3\%/77.6\% (R1/R2/R3) of the single-energy CT scans, and 84.6\%/82.7\%/80.8\% (R1/R2/R3) of the split-filter DECT scans. SSDE, DLP and CTDIvol were significantly lower for conventional single-energy CT compared to split-filter DECT (all P<0.05), which was associated with 26.7\% higher SSDE. Conclusions: In the diagnostic workup of acute PE, the split-filter allows for dual-energy data acquisition from single-source single-layer CT scanners. The existing opportunity to assess pulmonary "perfusion" based on analysis of iodine distribution maps is associated with higher radiation dose in terms of increased SSDE than conventional single-energy CT with ATVS. Moreover, a proportion of up to 3.8\% non-diagnostic examinations in the current reference standard test for PE is not negligible.}, language = {en} } @article{PennigHoyerKrauskopfetal.2021, author = {Pennig, Lenhard and Hoyer, Ulrike Cornelia Isabel and Krauskopf, Alexandra and Shahzad, Rahil and J{\"u}nger, Stephanie T. and Thiele, Frank and Laukamp, Kai Roman and Grunz, Jan-Peter and Perkuhn, Michael and Schlamann, Marc and Kabbasch, Christoph and Borggrefe, Jan and Goertz, Lukas}, title = {Deep learning assistance increases the detection sensitivity of radiologists for secondary intracranial aneurysms in subarachnoid hemorrhage}, series = {Neuroradiology}, volume = {63}, journal = {Neuroradiology}, number = {12}, issn = {0028-3940}, doi = {10.1007/s00234-021-02697-9}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-308117}, pages = {1985-1994}, year = {2021}, abstract = {Purpose To evaluate whether a deep learning model (DLM) could increase the detection sensitivity of radiologists for intracranial aneurysms on CT angiography (CTA) in aneurysmal subarachnoid hemorrhage (aSAH). Methods Three different DLMs were trained on CTA datasets of 68 aSAH patients with 79 aneurysms with their outputs being combined applying ensemble learning (DLM-Ens). The DLM-Ens was evaluated on an independent test set of 104 aSAH patients with 126 aneuryms (mean volume 129.2 ± 185.4 mm3, 13.0\% at the posterior circulation), which were determined by two radiologists and one neurosurgeon in consensus using CTA and digital subtraction angiography scans. CTA scans of the test set were then presented to three blinded radiologists (reader 1: 13, reader 2: 4, and reader 3: 3 years of experience in diagnostic neuroradiology), who assessed them individually for aneurysms. Detection sensitivities for aneurysms of the readers with and without the assistance of the DLM were compared. Results In the test set, the detection sensitivity of the DLM-Ens (85.7\%) was comparable to the radiologists (reader 1: 91.2\%, reader 2: 86.5\%, and reader 3: 86.5\%; Fleiss κ of 0.502). DLM-assistance significantly increased the detection sensitivity (reader 1: 97.6\%, reader 2: 97.6\%,and reader 3: 96.0\%; overall P=.024; Fleiss κ of 0.878), especially for secondary aneurysms (88.2\% of the additional aneurysms provided by the DLM). Conclusion Deep learning significantly improved the detection sensitivity of radiologists for aneurysms in aSAH, especially for secondary aneurysms. It therefore represents a valuable adjunct for physicians to establish an accurate diagnosis in order to optimize patient treatment.}, language = {en} } @article{MuellerKoehlerHendricksetal.2021, author = {M{\"u}ller, Sophie and K{\"o}hler, Franziska and Hendricks, Anne and Kastner, Carolin and B{\"o}rner, Kevin and Diers, Johannes and Lock, Johan F. and Petritsch, Bernhard and Germer, Christoph-Thomas and Wiegering, Armin}, title = {Brain metastases from colorectal cancer: a systematic review of the literature and meta-analysis to establish a guideline for daily treatment}, series = {Cancers}, volume = {13}, journal = {Cancers}, number = {4}, issn = {2072-6694}, doi = {10.3390/cancers13040900}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-228883}, year = {2021}, abstract = {Colorectal cancer (CRC) is the third most common malignancy worldwide. Most patients with metastatic CRC develop liver or lung metastases, while a minority suffer from brain metastases. There is little information available regarding the presentation, treatment, and overall survival of brain metastases (BM) from CRC. This systematic review and meta-analysis includes data collected from three major databases (PubMed, Cochrane, and Embase) based on the key words "brain", "metastas*", "tumor", "colorectal", "cancer", and "malignancy". In total, 1318 articles were identified in the search and 86 studies matched the inclusion criteria. The incidence of BM varied between 0.1\% and 11.5\%. Most patients developed metastases at other sites prior to developing BM. Lung metastases and KRAS mutations were described as risk factors for additional BM. Patients with BM suffered from various symptoms, but up to 96.8\% of BM patients were asymptomatic at the time of BM diagnosis. Median survival time ranged from 2 to 9.6 months, and overall survival (OS) increased up to 41.1 months in patients on a multimodal therapy regimen. Several factors including age, blood levels of carcinoembryonic antigen (CEA), multiple metastases sites, number of brain lesions, and presence of the KRAS mutation were predictors of OS. For BM diagnosis, MRI was considered to be state of the art. Treatment consisted of a combination of surgery, radiation, or systemic treatment.}, language = {en} }