@article{LiWinklerPabstetal.2015, author = {Li, Mengxia and Winkler, Beate and Pabst, Thomas and Bley, Thorsten and K{\"o}stler, Herbert and Neubauer, Henning}, title = {Fast MR Imaging of the paediatric abdomen with CAIPIRINHA-accelerated T1w 3D FLASH and with high-resolution T2w HASTE: a study on image quality}, series = {Gastroenterology Research and Practice}, volume = {2015}, journal = {Gastroenterology Research and Practice}, number = {693654}, doi = {10.1155/2015/693654}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-149217}, year = {2015}, abstract = {The aim of this study was to explore the applicability of fast MR techniques to routine paediatric abdominopelvic MRI at 1.5 Tesla. "Controlled Aliasing in Parallel Imaging Results in Higher Acceleration-" (CAIPIRINHA-) accelerated contrast-enhanced-T1w 3D FLASH imaging was compared to standard T1w 2D FLASH imaging with breath-holding in 40 paediatric patients and to respiratory-triggered T1w TSE imaging in 10 sedated young children. In 20 nonsedated patients, we compared T2w TIRM to fat-saturated T2w HASTE imaging. Two observers performed an independent and blinded assessment of overall image quality. Acquisition time was reduced by the factor of 15 with CAIPIRINHA-accelerated T1w FLASH and by 7 with T2w HASTE. With CAIPIRINHA and with HASTE, there were significantly less motion artefacts in nonsedated patients. In sedated patients, respiratory-triggered T1w imaging in general showed better image quality. However, satisfactory image quality was achieved with CAIPIRINHA in two sedated patients where respiratory triggering failed. In summary, fast scanning with CAIPIRINHA and HASTE presents a reliable high quality alternative to standard sequences in paediatric abdominal MRI. Paediatric patients, in particular, benefit greatly from fast image acquisition with less breath-hold cycles or shorter sedation.}, language = {en} } @article{TranGiaWechBleyetal.2015, author = {Tran-Gia, Johannes and Wech, Tobias and Bley, Thorsten and K{\"o}stler, Herbert}, title = {Model-Based Acceleration of Look-Locker T1 Mapping}, series = {PLoS One}, volume = {10}, journal = {PLoS One}, number = {4}, doi = {10.1371/journal.pone.0122611}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-126436}, pages = {e0122611}, year = {2015}, abstract = {Mapping the longitudinal relaxation time \(T_1\) has widespread applications in clinical MRI as it promises a quantitative comparison of tissue properties across subjects and scanners. Due to the long scan times of conventional methods, however, the use of quantitative MRI in clinical routine is still very limited. In this work, an acceleration of Inversion-Recovery Look-Locker (IR-LL) \(T_1\) mapping is presented. A model-based algorithm is used to iteratively enforce an exponential relaxation model to a highly undersampled radially acquired IR-LL dataset obtained after the application of a single global inversion pulse. Using the proposed technique, a \(T_1\) map of a single slice with 1.6mm in-plane resolution and 4mm slice thickness can be reconstructed from data acquired in only 6s. A time-consuming segmented IR experiment was used as gold standard for \(T_1\) mapping in this work. In the subsequent validation study, the model-based reconstruction of a single-inversion IR-LL dataset exhibited a \(T_1\) difference of less than 2.6\% compared to the segmented IR-LL reference in a phantom consisting of vials with \(T_1\) values between 200ms and 3000ms. In vivo, the \(T_1\) difference was smaller than 5.5\% in WM and GM of seven healthy volunteers. Additionally, the \(T_1\) values are comparable to standard literature values. Despite the high acceleration, all model-based reconstructions were of a visual quality comparable to fully sampled references. Finally, the reproducibility of the \(T_1\) mapping method was demonstrated in repeated acquisitions. In conclusion, the presented approach represents a promising way for fast and accurate \(T_1\) mapping using radial IR-LL acquisitions without the need of any segmentation.}, language = {en} } @article{RascheKumarGershneretal.2019, author = {Rasche, Leo and Kumar, Manoj and Gershner, Grant and Samant, Rohan and Van Hemert, Rudy and Heidemeier, Anke and Lapa, Constantin and Bley, Thorsten and Buck, Andreas and McDonald, James and Hillengass, Jens and Epstein, Joshua and Thanendrarajan, Sharmilan and Schinke, Carolina and van Rhee, Frits and Zangari, Maurizio and Barlogie, Bart and Davies, Faith E. and Morgan, Gareth J. and Weinhold, Niels}, title = {Lack of Spleen Signal on Diffusion Weighted MRI is associated with High Tumor Burden and Poor Prognosis in Multiple Myeloma: A Link to Extramedullary Hematopoiesis?}, series = {Theranostics}, volume = {9}, journal = {Theranostics}, number = {16}, doi = {10.7150/thno.33289}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-224982}, pages = {4756-4763}, year = {2019}, abstract = {Due to the low frequency of abnormalities affecting the spleen, this organ is often overlooked during radiological examinations. Here, we report on the unexpected finding, that the spleen signal on diffusion-weighted MRI (DW-MRI) is associated with clinical parameters in patients with plasma cell dyscrasias. Methods: We investigated the spleen signal on DW-MRI together with clinical and molecular parameters in 295 transplant-eligible newly diagnosed Multiple Myeloma (NDMM) patients and in 72 cases with monoclonal gammopathy of undetermined significance (MGUS). Results: Usually, the spleen is the abdominal organ with the highest intensities on DW-MRI. Yet, significant signal loss on DW-MRI images was seen in 71 of 295 (24\%) NDMM patients. This phenomenon was associated with the level of bone marrow plasmacytosis (P=1x10(-10)) and International Staging System 3 (P=0.0001) but not with gain(1q), and del(17p) or plasma cell gene signatures. The signal was preserved in 72 individuals with monoclonal gammopathy of undetermined significance and generally re-appeared in MM patients responding to treatment, suggesting that lack of signal reflects increased tumor burden. While absence of spleen signal in MM patients with high risk disease defined a subgroup with very poor outcome, re-appearance of the spleen signal after autologous stem cell transplantation was seen in patients with improved outcome. Our preliminary observation suggests that extramedullary hematopoiesis in the spleen is a factor that modifies the DW-MRI signal of this organ. Conclusions: The DW-MRI spleen signal is a promising marker for tumor load and provides prognostic information in MM.}, language = {en} } @article{FreyGassenmaierHofmannetal.2020, author = {Frey, Anna and Gassenmaier, Tobias and Hofmann, Ulrich and Schmitt, Dominik and Fette, Georg and Marx, Almuth and Heterich, Sabine and Boivin-Jahns, Val{\´e}rie and Ertl, Georg and Bley, Thorsten and Frantz, Stefan and Jahns, Roland and St{\"o}rk, Stefan}, title = {Coagulation factor XIII activity predicts left ventricular remodelling after acute myocardial infarction}, series = {ESC Heart Failure}, volume = {7}, journal = {ESC Heart Failure}, number = {5}, doi = {10.1002/ehf2.12774}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-236013}, pages = {2354-2364}, year = {2020}, abstract = {Aims Acute myocardial infarction (MI) is the major cause of chronic heart failure. The activity of blood coagulation factor XIII (FXIIIa) plays an important role in rodents as a healing factor after MI, whereas its role in healing and remodelling processes in humans remains unclear. We prospectively evaluated the relevance of FXIIIa after acute MI as a potential early prognostic marker for adequate healing. Methods and results This monocentric prospective cohort study investigated cardiac remodelling in patients with ST-elevation MI and followed them up for 1 year. Serum FXIIIa was serially assessed during the first 9 days after MI and after 2, 6, and 12 months. Cardiac magnetic resonance imaging was performed within 4 days after MI (Scan 1), after 7 to 9 days (Scan 2), and after 12 months (Scan 3). The FXIII valine-to-leucine (V34L) single-nucleotide polymorphism rs5985 was genotyped. One hundred forty-six patients were investigated (mean age 58 ± 11 years, 13\% women). Median FXIIIa was 118 \% (quartiles, 102-132\%) and dropped to a trough on the second day after MI: 109\%(98-109\%; P < 0.001). FXIIIa recovered slowly over time, reaching the baseline level after 2 to 6 months and surpassed baseline levels only after 12 months: 124 \% (110-142\%). The development of FXIIIa after MI was independent of the genotype. FXIIIa on Day 2 was strongly and inversely associated with the relative size of MI in Scan 1 (Spearman's ρ = -0.31; P = 0.01) and Scan 3 (ρ = -0.39; P < 0.01) and positively associated with left ventricular ejection fraction: ρ = 0.32 (P < 0.01) and ρ = 0.24 (P = 0.04), respectively. Conclusions FXIII activity after MI is highly dynamic, exhibiting a significant decline in the early healing period, with reconstitution 6 months later. Depressed FXIIIa early after MI predicted a greater size of MI and lower left ventricular ejection fraction after 1 year. The clinical relevance of these findings awaits to be tested in a randomized trial.}, language = {en} } @article{WoznickiLaquaBleyetal.2022, author = {Woznicki, Piotr and Laqua, Fabian and Bley, Thorsten and Baeßler, Bettina}, title = {AutoRadiomics: a framework for reproducible radiomics research}, series = {Frontiers in Radiology}, volume = {2}, journal = {Frontiers in Radiology}, issn = {2673-8740}, doi = {10.3389/fradi.2022.919133}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-284813}, year = {2022}, abstract = {Purpose Machine learning based on radiomics features has seen huge success in a variety of clinical applications. However, the need for standardization and reproducibility has been increasingly recognized as a necessary step for future clinical translation. We developed a novel, intuitive open-source framework to facilitate all data analysis steps of a radiomics workflow in an easy and reproducible manner and evaluated it by reproducing classification results in eight available open-source datasets from different clinical entities. Methods The framework performs image preprocessing, feature extraction, feature selection, modeling, and model evaluation, and can automatically choose the optimal parameters for a given task. All analysis steps can be reproduced with a web application, which offers an interactive user interface and does not require programming skills. We evaluated our method in seven different clinical applications using eight public datasets: six datasets from the recently published WORC database, and two prostate MRI datasets—Prostate MRI and Ultrasound With Pathology and Coordinates of Tracked Biopsy (Prostate-UCLA) and PROSTATEx. Results In the analyzed datasets, AutoRadiomics successfully created and optimized models using radiomics features. For WORC datasets, we achieved AUCs ranging from 0.56 for lung melanoma metastases detection to 0.93 for liposarcoma detection and thereby managed to replicate the previously reported results. No significant overfitting between training and test sets was observed. For the prostate cancer detection task, results were better in the PROSTATEx dataset (AUC = 0.73 for prostate and 0.72 for lesion mask) than in the Prostate-UCLA dataset (AUC 0.61 for prostate and 0.65 for lesion mask), with external validation results varying from AUC = 0.51 to AUC = 0.77. Conclusion AutoRadiomics is a robust tool for radiomic studies, which can be used as a comprehensive solution, one of the analysis steps, or an exploratory tool. Its wide applicability was confirmed by the results obtained in the diverse analyzed datasets. The framework, as well as code for this analysis, are publicly available under https://github.com/pwoznicki/AutoRadiomics.}, language = {en} } @article{DiessnerAndersHerbertetal.2023, author = {Diessner, Joachim and Anders, Laura and Herbert, Saskia and Kiesel, Matthias and Bley, Thorsten and Schlaiss, Tanja and Sauer, Stephanie and W{\"o}ckel, Achim and Bartmann, Catharina}, title = {Evaluation of different imaging modalities for axillary lymph node staging in breast cancer patients to provide a personalized and optimized therapy algorithm}, series = {Journal of Cancer Research and Clinical Oncology}, volume = {149}, journal = {Journal of Cancer Research and Clinical Oncology}, number = {7}, doi = {10.1007/s00432-022-04221-9}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-324047}, pages = {3457-3467}, year = {2023}, abstract = {Purpose The reliable detection of tumor-infiltrated axillary lymph nodes for breast cancer [BC] patients plays a decisive role in further therapy. We aimed to find out whether cross-sectional imaging techniques could improve sensitivity for pretherapeutic axillary staging in nodal-positive BC patients compared to conventional imaging such as mammography and sonography. Methods Data for breast cancer patients with tumor-infiltrated axillary lymph nodes having received surgery between 2014 and 2020 were included in this study. All examinations (sonography, mammography, computed tomography [CT] and magnetic resonance imaging [MRI]) were interpreted by board-certified specialists in radiology. The sensitivity of different imaging modalities was calculated, and binary logistic regression analyses were performed to detect variables influencing the detection of positive lymph nodes. Results All included 382 breast cancer patients had received conventional imaging, while 52.61\% of the patients had received cross-sectional imaging. The sensitivity of the combination of all imaging modalities was 68.89\%. The combination of MRI and CT showed 63.83\% and the combination of sonography and mammography showed 36.11\% sensitivity. Conclusion We could demonstrate that cross-sectional imaging can improve the sensitivity of the detection of tumor-infiltrated axillary lymph nodes in breast cancer patients. Only the safe detection of these lymph nodes at the time of diagnosis enables the evaluation of the response to neoadjuvant therapy, thereby allowing access to prognosis and improving new post-neoadjuvant therapies.}, language = {en} }