Andreas Sauter

ORCID: 0000-0003-4394-862X
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About
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Research Areas
  • Advanced X-ray and CT Imaging
  • Medical Imaging Techniques and Applications
  • Radiation Dose and Imaging
  • Advanced X-ray Imaging Techniques
  • Radiomics and Machine Learning in Medical Imaging
  • MRI in cancer diagnosis
  • Bladder and Urothelial Cancer Treatments
  • Infrared Thermography in Medicine
  • Atomic and Subatomic Physics Research
  • Prostate Cancer Diagnosis and Treatment
  • Urinary and Genital Oncology Studies
  • Advanced MRI Techniques and Applications
  • Cardiac Imaging and Diagnostics
  • Prostate Cancer Treatment and Research
  • Advanced Radiotherapy Techniques
  • Artificial Intelligence in Healthcare and Education
  • Urological Disorders and Treatments
  • Heat shock proteins research
  • Explainable Artificial Intelligence (XAI)
  • Photoacoustic and Ultrasonic Imaging
  • Cancer Genomics and Diagnostics
  • Lower Extremity Biomechanics and Pathologies
  • Immune Cell Function and Interaction
  • Knee injuries and reconstruction techniques
  • Cancer Immunotherapy and Biomarkers

Klinikum rechts der Isar
2016-2025

Technical University of Munich
2016-2025

Max Planck Institute of Quantum Optics
2024

Ludwig-Maximilians-Universität München
2022

Helmholtz Zentrum München
2022

Philips (Germany)
2021

Baden-Wuerttemberg Cooperative State University
2018

Universitätsklinikum Tübingen
2011-2013

University of Tübingen
2011

Medical University of Vienna
2006

Although advanced medical imaging technologies give detailed diagnostic information, a low-dose, fast, and inexpensive option for early detection of respiratory diseases follow-ups is still lacking. The novel method x-ray dark-field chest might fill this gap but has not yet been studied in living humans. Enabling the assessment microstructural changes lung parenchyma, technique presents more sensitive alternative to conventional x-rays, requires only fraction dose applied CT. We application...

10.1016/s2589-7500(21)00146-1 article EN cc-by The Lancet Digital Health 2021-10-25

Background X-ray dark-field radiography takes advantage of the wave properties x-rays, with a relatively high signal in lungs due to many air-tissue interfaces alveoli. Purpose To describe qualitative and quantitative characteristics x-ray images healthy human subjects. Materials Methods Between October 2018 January 2020, patients legal age who underwent chest CT as part their diagnostic work-up were screened for study participation. Inclusion criteria normal scan, ability consent, stand...

10.1148/radiol.2021210963 article EN Radiology 2021-08-24

Background Dark-field chest radiography allows for assessment of lung alveolar structure by exploiting wave optical properties x-rays. Purpose To evaluate the qualitative and quantitative features dark-field in participants with pulmonary emphysema as compared those healthy control subjects. Materials Methods In this prospective study conducted from October 2018 to 2020, aged at least 18 years who underwent clinically indicated CT were screened participation. Inclusion criteria an ability...

10.1148/radiol.212025 article EN Radiology 2022-01-11

Abstract The performance of a recently introduced spectral computed tomography system based on dual‐layer detector has been investigated. A semi‐anthropomorphic abdomen phantom for CT evaluation was imaged the at different radiation exposure levels ( CTDI vol 10 mG y, 20 y and 30 y). equipped with specific low‐contrast tissue‐equivalent inserts including water‐, adipose‐, muscle‐, liver‐, bone‐like materials variation in iodine concentrations. Additionally, size varied using extension rings...

10.1002/acm2.12243 article EN cc-by Journal of Applied Clinical Medical Physics 2017-12-20

The purpose of this study was to investigate a preclinical spectral photon-counting CT (SPCCT) prototype compared conventional for pulmonary imaging. A custom-made lung phantom, including nodules different sizes and shapes, scanned with SPCCT in standard high-resolution (HR-CT) mode. Volume estimation evaluated by linear regression. Shape similarity the Dice coefficient. Spatial resolution investigated via MTF each imaging system. In-vivo rabbit images from system were subjectively reviewed....

10.1038/s41598-018-35888-1 article EN cc-by Scientific Reports 2018-11-20

Abstract Purpose: Non–small cell lung cancer (NSCLC) is a fatal disease with poor prognosis. A membrane-bound form of Hsp70 (mHsp70) which selectively expressed on high-risk tumors serves as target for mHsp70-targeting natural killer (NK) cells. Patients advanced mHsp70-positive NSCLC may therefore benefit from therapeutic intervention involving NK The randomized phase II clinical trial (EudraCT2008-002130-30) explores tolerability and efficacy ex vivo–activated cells in patients after...

10.1158/1078-0432.ccr-20-1141 article EN Clinical Cancer Research 2020-09-01

Osteoporosis diagnosis using multidetector CT (MDCT) is limited to relatively high radiation exposure. We investigated the effect of simulated ultra-low-dose protocols on in-vivo bone mineral density (BMD) and quantitative trabecular assessment.Institutional review board approval was obtained. Twelve subjects with osteoporotic vertebral fractures 12 age- gender-matched controls undergoing routine thoracic abdominal MDCT were included (average effective dose: 10 mSv). Ultra-low examinations...

10.1007/s00330-017-4904-y article EN cc-by European Radiology 2017-06-21

Objective Evaluation of a new iterative reconstruction algorithm (IMR) for detection/rule-out pulmonary embolism (PE) in ultra-low dose computed tomography angiography (CTPA). Methods Lower CT data sets were simulated based on CTPA examinations 16 patients with levels (DL) 50%, 25%, 12.5%, 6.3% or 3.1% the original tube current setting. Original and low-dose reconstructed three algorithms: standard “filtered back projection” (FBP), first generation iDose next “Iterative Model Reconstruction”...

10.1371/journal.pone.0162716 article EN cc-by PLoS ONE 2016-09-09

To assess the performance of prospectively accelerated and deep learning (DL) reconstructed T2-weighted (T2w) imaging in volunteers patients with histologically proven prostate cancer (PCa).Prospectively undersampled T2w datasets were acquired acceleration factors 1.7 (reference), 3.4 4.8 10 healthy 23 PCa. Image reconstructions using compressed SENSE (C-SENSE) a combination C-SENSE DL-based artificial intelligence (C-SENSE AI) analyzed. Qualitative image comparison was performed 6-point...

10.3390/cancers14235741 article EN Cancers 2022-11-22

Abstract Objectives To assess the clinical utility of dual-energy CT (DE-CT)–derived iodine concentration (IC) and effective Z (Z eff ) in addition to conventional attenuation (HU) for discrimination between primary lung cancer (LC) pulmonary metastases (PM) from different malignancies. Methods DE-CT scans 79 patients with LC (3 histopathologic subgroups) 89 PM (5 were evaluated. Quantitative IC, , HU values extracted normalized thoracic aorta. Differences groups assessed by pairwise Welch’s...

10.1007/s00330-020-07195-9 article EN cc-by European Radiology 2020-08-27

Abstract Background Currently, alternative medical imaging methods for the assessment of pulmonary involvement in patients infected with COVID-19 are sought that combine a higher sensitivity than conventional (attenuation-based) chest radiography lower radiation dose CT imaging. Methods Sixty COVID-19-associated lung changes scan and 40 subjects without pathologic visible were included (in total, 100, 59 male, mean age 58 ± 14 years). All gave written informed consent. We employed clinical...

10.1038/s43856-022-00215-3 article EN cc-by Communications Medicine 2022-11-21

Abstract Purpose mpMRI is routinely used to stratify the risk of clinically significant prostate cancer (csPCa) in men with elevated PSA values before biopsy. This study aimed calculate a multivariable model incorporating standard factors and findings for predicting csPCa on subsequent Methods Data from 677 patients undergoing ultrasound fusion biopsy at TUM University Hospital tertiary urological center between 2019 2023 were analyzed. Patient age (67 (median); 33–88 (range) (years)), (7.2;...

10.1007/s00345-024-04991-6 article EN cc-by World Journal of Urology 2024-05-03

Computed tomography pulmonary angiography (CTPA) is the standard imaging modality for detection or rule out of embolism (PE); however, radiation exposure a serious concern. With iterative reconstruction algorithms distinct dose reduction could be achievable.To evaluate next generation algorithm rule-out PE in simulated low-dose CTPA.Low-dose CT datasets with 50%, 25%, and 12.5% original tube current were based on CTPA examinations 92 patients suspected PE. All reconstructed two algorithms:...

10.1177/0284185118784976 article EN Acta Radiologica 2018-06-22

Grating-based X-ray dark-field imaging is a novel modality which has been refined during the last decade. It exploits wave-like behaviour of X-radiation and can nowadays be implemented with existing tubes used in clinical applications. The method based on detection small-angle scattering, occurs e.g. at air-tissue-interfaces lung or bone-fat interfaces spongy bone. In contrast to attenuation-based chest imaging, optimal tube voltage for thorax not yet examined. this work, scans voltages...

10.1038/s41598-019-45256-2 article EN cc-by Scientific Reports 2019-06-18

Exploring the generative capabilities of multimodal GPT-4, our study uncovered significant differences between radiological assessments and automatic evaluation metrics for chest x-ray impression generation revealed bias.

10.2196/50865 article EN cc-by Journal of Medical Internet Research 2023-11-27

Dark-field chest radiography allows the assessment of structural integrity alveoli by exploiting wave properties x-rays. To compare qualitative and quantitative features dark-field in patients with COVID-19 pneumonia conventional CT imaging. In this prospective study conducted from May 2020 to December 2020, aged at least 18 years who underwent for clinically suspected infection were screened participation. Inclusion criteria a CO-RADS score ≥4, ability consent procedure stand upright...

10.3389/fradi.2024.1487895 article EN cc-by Frontiers in Radiology 2025-01-14

Reinforcement learning (RL) offers a general approach for modeling and training AI agents, including human-AI interaction scenarios. In this paper, we propose SHARPIE (Shared Human-AI Learning Platform Interactive Experiments) to address the need generic framework support experiments with RL agents humans. Its modular design consists of versatile wrapper environments algorithm libraries, participant-facing web interface, logging utilities, deployment on popular cloud participant recruitment...

10.48550/arxiv.2501.19245 preprint EN arXiv (Cornell University) 2025-01-31
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