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52. Assessment of esophagogastric junction morphology by dynamic real-time MRI: comparison of imaging features to high-resolution manometry

Author

Biggemann, Lorenz, primary, Uhlig, Johannes, additional, Gliem, Nina, additional, Al-Bourini, Omar, additional, Wedi, Edris, additional, Ellenrieder, Volker, additional, Ghadimi, Michael, additional, Uecker, Martin, additional, Frahm, Jens, additional, Lotz, Joachim, additional, Hosseini, Ali Seif Amir, additional, and Streit, Ulrike, additional

Published
2021
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53. Hardware Implementation of an OPC UA Server for Industrial Field Devices

Author

Bauer, Heiner, primary, Hoppner, Sebastian, additional, Iatrou, Chris, additional, Charania, Zohra, additional, Hartmann, Stephan, additional, Rehman, Saif Ur, additional, Dixius, Andreas, additional, Ellguth, Georg, additional, Walter, Dennis, additional, Uhlig, Johannes, additional, Neumarker, Felix, additional, Berthel, Marc, additional, Stolba, Marco, additional, Kelber, Florian, additional, Urbas, Leon, additional, and Mayr, Christian, additional

Published
2021
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55. Primary renal sarcomas: imaging features and discrimination from non-sarcoma renal tumors

Author

Uhlig, Johannes, primary, Uhlig, Annemarie, additional, Bachanek, Sophie, additional, Onur, Mehmet Ruhi, additional, Kinner, Sonja, additional, Geisel, Dominik, additional, Köhler, Michael, additional, Preibsch, Heike, additional, Puesken, Michael, additional, Schramm, Dominik, additional, May, Matthias, additional, De Visschere, Pieter, additional, Weber, Marc-André, additional, and Surov, Alexey, additional

Published
2021
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63. Radiomic Features and Machine Learning for the Discrimination of Renal Tumor Histological Subtypes: A Pragmatic Study Using Clinical-Routine Computed Tomography

Author

Uhlig, Johannes Uhlig, Andreas Leha, Laura M. Delonge, Anna-Maria Haack, Brian Shuch, Hyun S. Kim, Felix Bremmer, Lutz Trojan, Joachim Lotz, and Annemarie

Subjects
renal cell carcinoma, computed tomography, image interpretation, computer-assisted, radiomics, machine learning
Abstract

This study evaluates the diagnostic performance of radiomic features and machine learning algorithms for renal tumor subtype assessment in venous computed tomography (CT) studies from clinical routine. Patients undergoing surgical resection and histopathological assessment of renal tumors at a tertiary referral center between 2012 and 2019 were included. Preoperative venous-phase CTs from multiple referring imaging centers were segmented, and standardized radiomic features extracted. After preprocessing, class imbalance handling, and feature selection, machine learning algorithms were used to predict renal tumor subtypes using 10-fold cross validation, assessed as multiclass area under the curve (AUC). In total, n = 201 patients were included (73.7% male; mean age 66 ± 11 years), with n = 131 clear cell renal cell carcinomas (ccRCC), n = 29 papillary RCC, n = 11 chromophobe RCC, n = 16 oncocytomas, and n = 14 angiomyolipomas (AML). An extreme gradient boosting algorithm demonstrated the highest accuracy (multiclass area under the curve (AUC) = 0.72). The worst discrimination was evident for oncocytomas vs. AML and oncocytomas vs. chromophobe RCC (AUC = 0.55 and AUC = 0.45, respectively). In sensitivity analyses excluding oncocytomas, a random forest algorithm showed the highest accuracy, with multiclass AUC = 0.78. Radiomic feature analyses from venous-phase CT acquired in clinical practice with subsequent machine learning can discriminate renal tumor subtypes with moderate accuracy. The classification of oncocytomas seems to be the most complex with the lowest accuracy.

Published
2020
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64. A pragmatic radiomics and machine learning approach

Author

Uhlig, Johannes, Biggemann, Lorenz, Nietert, Manuel M., Beißbarth, Tim, Lotz, Joachim, Kim, Hyun S., Trojan, Lutz, and Uhlig, Annemarie

Subjects
carcinoma, computer-assisted, image interpretation, machine learning, multidetector computed tomography, renal cell
Abstract

The aim of this study was to discriminate malignant and benign clinical T1 renal masses on routinely acquired computed tomography (CT) images using radiomics and machine learning techniques. Adult patients undergoing surgical resection and histopathological analysis of clinical T1 renal masses were included. Preoperative CT studies in venous phase from multiple referring centers were included, without restriction to specific CT scanners, slice thickness, or degrees of artifacts. Renalmasseswere segmented and 120 standardized radiomic features extracted. Machine learning algorithms were used to predictmalignancy of renal masses using radiomics features and cross-validation. Diagnostic accuracy of machine learningmodels and assessment by independent blinded radiologists were compared based on the gold standard of histopathologic diagnosis. A total of 94 patients met inclusion criteria (benign renal masses: n=18; malignant: n=76). CT studies from 18 different scanners were assessed with median slice thickness of 2.5mm and artifacts in 15 cases (15.9%). Area under the receiver-operating-characteristics curve (AUC) of random forest (random forest [RF], AUC=0.83) was significantly higher compared to the radiologists (AUC=0.68, P=.047). Sensitivity was significantly higher for RF versus radiologists (0.88 vs 0.80, P=.045), whereas specificity was numerically higher for RF (0.67 vs 0.50, P=.083). Although limited by an overall small sample size and few benign renal tumors, a radiomic features and machine learning approach suggests a high diagnostic accuracy for discrimination of malignant and benign clinical T1 renal masses on venous phase CT. The presented algorithm robustly outperforms human readers in a real-life scenario with nonstandardized imaging studies from various referring centers. Open-Access-Publikationsfonds 2020 peerReviewed

Published
2020

69. Assessment of esophageal motility disorders by real-time MRI

Author

Biggemann, Lorenz, primary, Uhlig, Johannes, additional, Gliem, Nina, additional, Al-Bourini, Omar, additional, Wedi, Edris, additional, Ellenrieder, Volker, additional, Ghadimi, Michael, additional, Uecker, Martin, additional, Frahm, Jens, additional, Lotz, Joachim, additional, Hosseini, Ali Seif Amir, additional, and Streit, Ulrike, additional

Published
2020
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74. Genomic biomarkers to determine survival in Multicenter Study of RAS mutations (MURAS) in patients with colorectal liver metastases receiving Y90 radioembolization treatment.

Author

Dendy Case, Meaghan, primary, Ghodadra, Anish, additional, Novelli, Paula M., additional, Wu, Vincent, additional, Ganguli, Suvranu, additional, Wildgruber, Moritz, additional, Kohler, Michael, additional, Robinson, Charles, additional, Kim, Charles, additional, Wang, David S., additional, Sze, Daniel Y., additional, Kolbeck, Kenneth, additional, Russell, Lori, additional, Ludwig, Johannes M., additional, Uhlig, Johannes, additional, and Kim, Kevin, additional

Published
2020
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76. Real-time MRI for dynamic assessment of gastroesophageal reflux disease: Comparison to pH-metry and impedance

Author

Seif Amir Hosseini, Ali, primary, Uhlig, Johannes, additional, Streit, Ulrike, additional, Gliem, Nina, additional, Wedi, Edris, additional, Ellenrieder, Volker, additional, Ghadimi, Michael, additional, Ahmed, Saheeb, additional, Uecker, Martin, additional, Frahm, Jens, additional, Lotz, Joachim, additional, and Biggemann, Lorenz, additional

Published
2020
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78. KRAS status and survival in multicenter study of RAS mutations (MURAS) in patients with colorectal liver metastases receiving Y90 radioembolization treatment.

Author

Dendy Case, Meaghan, primary, Ghodadra, Anish, additional, Novelli, Paula M., additional, Wu, Vincent, additional, Ganguli, Suvranu, additional, Wildgruber, Moritz, additional, Kohler, Michael, additional, Robinson, Charles, additional, Kim, Charles, additional, Wang, David S., additional, Sze, Daniel Y., additional, Kolbeck, Kenneth, additional, Russell, Lori, additional, Uhlig, Johannes, additional, Ludwig, Johannes M., additional, and Kim, Hyun S., additional

Published
2020
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79. Impact of Right Atrial Physiology on Heart Failure and Adverse Events after Myocardial Infarction

Author

Schuster, Andreas, primary, Backhaus, Sören J., additional, Stiermaier, Thomas, additional, Navarra, Jenny-Lou, additional, Uhlig, Johannes, additional, Rommel, Karl-Philipp, additional, Koschalka, Alexander, additional, Kowallick, Johannes T., additional, Bigalke, Boris, additional, Kutty, Shelby, additional, Gutberlet, Matthias, additional, Hasenfuß, Gerd, additional, Thiele, Holger, additional, and Eitel, Ingo, additional

Published
2020
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80. Atrioventricular mechanical coupling and major adverse cardiac events in female patients following acute ST elevation myocardial infarction

Author

Backhaus, Sören J., primary, Kowallick, Johannes T., additional, Stiermaier, Thomas, additional, Lange, Torben, additional, Koschalka, Alexander, additional, Navarra, Jenny-Lou, additional, Uhlig, Johannes, additional, Lotz, Joachim, additional, Kutty, Shelby, additional, Bigalke, Boris, additional, Gutberlet, Matthias, additional, Hasenfuß, Gerd, additional, Thiele, Holger, additional, Eitel, Ingo, additional, and Schuster, Andreas, additional

Published
2020
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81. MOESM1 of Surgical approaches for treatment of ureteropelvic junction obstruction – a systematic review and network meta-analysis

Author

Uhlig, Annemarie, Uhlig, Johannes, Trojan, Lutz, Hinterthaner, Marc, Hammerstein-Equord, Alexander, and Strauss, Arne

Abstract

Additional file 1: Figure S1. Funnel plots for operative success and complications with different comparisons Table S1. Operative success based on studies with at least 12 months follow-up (n = 13) Table S2. Probability of re-operation based on studies with at least 12 months follow-up (n = 13). Table S3. Study quality according to the Newcastle Ottawa Scale.

Published
2019
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82. Correlation of cone-beam breast-CT, digital breast tomosynthesis and full-field digital mammography with histopathology

Author

Wienbeck, Susanne, Uhlig, Johannes, Fischer, Uwe, Hellriegel, Martin, von Fintel, Eva, Kulenkampff, Dietrich, Surov, Alexey, Lotz, Joachim, and Perske, Christina

Subjects
Breast lesion
Abstract

To compare the accuracy of breast lesion size measurement of cone-beam breast-CT (CBBCT), digital breast tomosynthesis (DBT) and full-field digital mammography (FFDM).Patients scheduled for mastectomy due to at least 1 malignant breast lesion were included. Mastectomy specimens were examined by CBBCT, DBT, FFDM, and histopathology.A total of 94 lesions (40 patients) were included. Histopathological analyses revealed 47 malignant, 6 high-risk, and 41 benign lesions. Mean histopathological lesion size was 20.8 mm (range 2-100). Mean absolute size deviation from histopathology was largest for FFDM (5.3 ± 6.7 mm) and smallest for CBBCT 50 mA, high-resolution mode (4.3 ± 6.7 mm). Differences between imaging modalities did not reach statistical significance (P = .85).All imaging methods tend to overestimate breast lesion size compared to histopathological gold standard. No significant differences were found regarding size measurements, although in tendency CBBCT showed better lesion detection and cT classification over FFDM. peerReviewed

Published
2019

83. A STROBE compliant study

Author

Strauss, Arne, Uhlig, Johannes, Lotz, Joachim, Trojan, Lutz, and Uhlig, Annemarie

Subjects
anatomy, nephrectomy, renal cell carcinoma, risk factors, survival analysis
Abstract

To assess whether left and right-sided renal cell carcinoma (RCC) carry side-specific outcomes.Surgically treated RCC patients were included from the United States Surveillance, Epidemiology and End Results database (Surveillance, Epidemiology and End Results database [SEER]; 2013 version) and the German Centre for Cancer Registry Data (ZfKD; 2000-2014). Bilateral RCC, those with missing RCC staging, follow-up time, and survival status were excluded. Cancer-specific survival (CSS) according to RCC side was compared using multivariable Cox regression.Seventeen thousand seven hundred nine SEER patients and 41,967 ZfKD patients were included. In both datasets, patients with left-sided RCC had higher T status and more often presented with nodal positive or metastatic disease. In the SEER dataset 1258 (14.33%) patients with left-sided RCC underwent lymphadenectomy (LAD), compared to 908 (10.17%) LADs in right-sided RCC (P

Published
2019

85. Altersassoziierte morphologische Veränderungen des Hüftgelenks im Erwachsenenalter - eine CT-Analyse

Author

Hawellek, Thelonius, Meier, Marc-Pascal, Streit, Ulrike, Uhlig, Johannes, Seif Amir Hosseini, Ali, Lehmann, Wolfgang, Beil, Frank Timo, and Hubert, Jan

Subjects
Coxarthrose, ddc: 610, Referenzwerte, hüftgelenkerhaltende Chirurgie, Alter, 610 Medical sciences, Medicine, Morphologie, Hüftgelenk
Abstract

Fragestellung: Durch die hüftgelenkerhaltende Chirurgie spielt die Hüftmorphologie in der Früherkennung der Coxarthrose zunehmend eine prädiktive Rolle. Für das adulte Hüftgelenk wurden physiologische Referenzparameter beschrieben, die sich häufig auf kleine oder pathologische[zum vollständigen Text gelangen Sie über die oben angegebene URL], Deutscher Kongress für Orthopädie und Unfallchirurgie (DKOU 2018)

Published
2018

86. Contrast enhancement on cone-beam breast CT for discrimination of breast cancer immunohistochemical subtypes

Author

Uhlig, Johannes

Subjects
genetic structures, Oncology, Diagnostic procedure, Contrast agent-intravenous, Cone beam CT
Abstract

Aims and objectives Methods and materials Results Conclusion Personal information References, Aims and objectives: Cone-beam breast CT (CBBCT) is a novel dedicated breast imaging technique that utilizes a dedicated plat-panel detector for acquisition of 3D breast images (1,2). Although it has been shown that the attenuation of breast lesions on native CBBCT...

Published
2018
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87. Analysis of contrast enhancement kinetics in breast cancer subtypes with a dedicated contrast-enhanced cone-beam breast CT

Author

Uhlig, Johannes

Subjects
genetic structures, Oncology, Diagnostic procedure, Contrast agent-intravenous, Cone beam CT
Abstract

Aims and objectives Methods and materials Results Conclusion Personal information References, Aims and objectives: Cone-beam breast-CT (CBBCT) is a novel breast imaging technique that provides isotropic 3D images with high contrast resolution. The diagnostic superiority of non-contrast CBBCT (NC-CBBCT) over MG has been shown in several studies...

Published
2018
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88. Stereotactic Body Radiation Therapy versus Thermal Ablation for Early Stage Non–Small Cell Lung Cancer

Author

Uhlig, Johannes, Ludwig, Johannes M., Goldberg, Sarah B., Chiang, Anne, Blasberg, Justin D., and Kim, Hyun S.

Subjects
medicine.medical_specialty, Lung Neoplasms, Stereotactic body radiation therapy, business.industry, medicine.medical_treatment, Medizin, Thermal ablation, Radiosurgery, medicine.disease, Small Cell Lung Carcinoma, Survival Rate, Carcinoma, Non-Small-Cell Lung, medicine, Carcinoma, Humans, Radiology, Nuclear Medicine and imaging, Radiology, Stage (cooking), Lung cancer, business, Survival rate
Published
2019

90. Left Atrial Function with MRI Enables Prediction of Cardiovascular Events after Myocardial Infarction: Insights from the AIDA STEMI and TATORT NSTEMI Trials

Author

Schuster, Andreas, primary, Backhaus, Sören J., additional, Stiermaier, Thomas, additional, Navarra, Jenny-Lou, additional, Uhlig, Johannes, additional, Rommel, Karl-Philipp, additional, Koschalka, Alexander, additional, Kowallick, Johannes T., additional, Lotz, Joachim, additional, Gutberlet, Matthias, additional, Bigalke, Boris, additional, Kutty, Shelby, additional, Hasenfuss, Gerd, additional, Thiele, Holger, additional, and Eitel, Ingo, additional

Published
2019
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