Simon Lennartz
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View article: European guideline informed RAG-based GPT-4 decision support tool in tumor board meetings for breast cancer treatment
European guideline informed RAG-based GPT-4 decision support tool in tumor board meetings for breast cancer treatment Open
View article: GPT-4 for automated sequence-level determination of MRI protocols based on radiology request forms from clinical routine
GPT-4 for automated sequence-level determination of MRI protocols based on radiology request forms from clinical routine Open
Objectives This study evaluated GPT-4’s accuracy in MRI sequence selection based on radiology request forms (RRFs), comparing its performance to radiology residents. Materials and methods This retrospective study included 100 RRFs across f…
View article: True versus pseudo-occlusion of the cervical internal carotid artery in acute stroke: A multicenter MR angiography study
True versus pseudo-occlusion of the cervical internal carotid artery in acute stroke: A multicenter MR angiography study Open
Introduction: Differentiating true from pseudo-occlusion of the cervical internal carotid artery (ICA) in acute ischemic stroke patients undergoing thrombectomy is crucial but challenging. We aimed to investigate the ability of contrast-en…
View article: Spectral CT imaging for assessment of metastases in melanoma patients: multi-reader evaluation
Spectral CT imaging for assessment of metastases in melanoma patients: multi-reader evaluation Open
Background Pilot studies have indicated diagnostic benefits from using dual-energy CT (DECT) for staging and follow-up of melanoma patients. The purpose of this study was to investigate the sensitivity, specificity and qualitative assessme…
View article: Adrenal lesion classification revisited: validation and adjustment of dual-energy CT derived virtual unenhanced attenuation thresholds
Adrenal lesion classification revisited: validation and adjustment of dual-energy CT derived virtual unenhanced attenuation thresholds Open
Objectives Dual-energy CT (DECT)-derived virtual unenhanced (VUE) images have been investigated for adrenal lesion differentiation, yet previously reported thresholds vary, hampering clinical application. We aimed to test previous VUE thre…
View article: Clinical Benefit of Structured Reporting Using the Liver Imaging Reporting and Data System (LI-RADS) in MRI in Patients at Risk for Hepatocellular Carcinoma
Clinical Benefit of Structured Reporting Using the Liver Imaging Reporting and Data System (LI-RADS) in MRI in Patients at Risk for Hepatocellular Carcinoma Open
The aim of this study was to evaluate the quality of structured reporting of MRI examinations in patients at risk for HCC using the Liver Imaging Reporting and Data System (LI-RADS) created during the daily clinical routine. In this retros…
View article: Dental implant artifacts: Evaluation of photon counting CT-derived virtual monoenergetic images in combination with iterative metal artifact reduction algorithms
Dental implant artifacts: Evaluation of photon counting CT-derived virtual monoenergetic images in combination with iterative metal artifact reduction algorithms Open
Combination of iMAR and PCCT-derived VMI is a useful approach for enhancing the diagnostic assessability of the maxillofacial area in patients with dental implants.
View article: Large Language Models–Supported Thrombectomy Decision-Making in Acute Ischemic Stroke Based on Radiology Reports: Feasibility Qualitative Study
Large Language Models–Supported Thrombectomy Decision-Making in Acute Ischemic Stroke Based on Radiology Reports: Feasibility Qualitative Study Open
Background The latest advancement of artificial intelligence (AI) is generative pretrained transformer large language models (LLMs). They have been trained on massive amounts of text, enabling humanlike and semantical responses to text-bas…
View article: Machine Learning-Based Radiomics Analysis for Identifying KRAS Mutations in Non-Small-Cell Lung Cancer from CT Images: Challenges, Insights and Implications
Machine Learning-Based Radiomics Analysis for Identifying KRAS Mutations in Non-Small-Cell Lung Cancer from CT Images: Challenges, Insights and Implications Open
Kirsten Rat Sarcoma viral oncogene homolog (KRAS) is a frequently occurring mutation in non-small-cell lung cancer (NSCLC) and influences cancer treatment and disease progression. In this study, a machine learning (ML) pipeline was applied…
View article: Evaluating Docetaxel Effectiveness in Kras G12c-Mutated Nsclc: Insights from a Real-World Cohort
Evaluating Docetaxel Effectiveness in Kras G12c-Mutated Nsclc: Insights from a Real-World Cohort Open
View article: Dual-layer dual-energy CT characterization of thrombus composition in acute pulmonary embolism and chronic thromboembolic pulmonary hypertension
Dual-layer dual-energy CT characterization of thrombus composition in acute pulmonary embolism and chronic thromboembolic pulmonary hypertension Open
To evaluate dual-layer dual-energy computed tomography (dlDECT)-based characterization of thrombus composition for differentiation of acute pulmonary embolism (PE) and chronic thromboembolic pulmonary hypertension (CTEPH). This retrospecti…
View article: Optimizing risk stratification for intermediate-risk prostate cancer – the prognostic value of baseline health-related quality of life
Optimizing risk stratification for intermediate-risk prostate cancer – the prognostic value of baseline health-related quality of life Open
View article: Real-world response assessment of immune checkpoint inhibition: comparing iRECIST and RECIST 1.1 in melanoma and non-small cell lung cancer patients
Real-world response assessment of immune checkpoint inhibition: comparing iRECIST and RECIST 1.1 in melanoma and non-small cell lung cancer patients Open
View article: Seeing the primary tumor because of all the trees: Cancer type prediction on low-dimensional data
Seeing the primary tumor because of all the trees: Cancer type prediction on low-dimensional data Open
The Cancer of Unknown Primary (CUP) syndrome is characterized by identifiable metastases while the primary tumor remains hidden. In recent years, various data-driven approaches have been suggested to predict the location of the primary tum…
View article: ChatGPT yields low accuracy in determining LI-RADS scores based on free-text and structured radiology reports in German language
ChatGPT yields low accuracy in determining LI-RADS scores based on free-text and structured radiology reports in German language Open
Background To investigate the feasibility of the large language model (LLM) ChatGPT for classifying liver lesions according to the Liver Imaging Reporting and Data System (LI-RADS) based on MRI reports, and to compare classification perfor…
View article: Robustness of radiomic features in healthy abdominal parenchyma of patients with repeated examinations on dual-layer dual-energy CT
Robustness of radiomic features in healthy abdominal parenchyma of patients with repeated examinations on dual-layer dual-energy CT Open
Radiomic feature robustness obtained from cancer-free subjects with repeated examinations using a consistent protocol and CT scanner was limited, with first order features yielding the highest proportion of robust features.
View article: Immediate angiographic control after intra-arterial nimodipine administration underestimates the vasodilatory effect
Immediate angiographic control after intra-arterial nimodipine administration underestimates the vasodilatory effect Open
View article: Case Report: Sudden very late-onset near fatal PD1 inhibitor-associated myocarditis with out-of-hospital cardiac arrest after >2.5 years of pembrolizumab treatment
Case Report: Sudden very late-onset near fatal PD1 inhibitor-associated myocarditis with out-of-hospital cardiac arrest after >2.5 years of pembrolizumab treatment Open
Introduction Immune checkpoint inhibitors have advanced the outcomes of many different types of cancer. A rare but extraordinarily severe complication of these agents resembles immune checkpoint inhibitor-related myocarditis, which typical…
View article: An anti-CD19/CTLA-4 switch improves efficacy and selectivity of CAR T cells targeting CD80/86-upregulated DLBCL
An anti-CD19/CTLA-4 switch improves efficacy and selectivity of CAR T cells targeting CD80/86-upregulated DLBCL Open
View article: Dual-energy CT revisited: a focused review of clinical use cases
Dual-energy CT revisited: a focused review of clinical use cases Open
Background Dual-energy CT (DECT) has been available for more than 15 years and has undergone continuous technical development and refinement. Recently, the first photon-counting CT scanner became clinically available and has the pot…
View article: Generative Pre-trained Transformer 4 analysis of cardiovascular magnetic resonance reports in suspected myocarditis: A multicenter study
Generative Pre-trained Transformer 4 analysis of cardiovascular magnetic resonance reports in suspected myocarditis: A multicenter study Open
View article: Compressed SENSE accelerated 3D single-breath-hold late gadolinium enhancement cardiovascular magnetic resonance with isotropic resolution: clinical evaluation
Compressed SENSE accelerated 3D single-breath-hold late gadolinium enhancement cardiovascular magnetic resonance with isotropic resolution: clinical evaluation Open
Aim The purpose of this study was to investigate the clinical application of Compressed SENSE accelerated single-breath-hold LGE with 3D isotropic resolution compared to conventional LGE imaging acquired in multiple breath-holds. Material …
View article: Dual-layer dual-energy CT-derived pulmonary perfusion for the differentiation of acute pulmonary embolism and chronic thromboembolic pulmonary hypertension
Dual-layer dual-energy CT-derived pulmonary perfusion for the differentiation of acute pulmonary embolism and chronic thromboembolic pulmonary hypertension Open
View article: Automated localization and segmentation of cervical lymph nodes on contrast-enhanced CT using a 3D foveal fully convolutional neural network
Automated localization and segmentation of cervical lymph nodes on contrast-enhanced CT using a 3D foveal fully convolutional neural network Open
View article: Metal artifact reduction in patients with total hip replacements: evaluation of clinical photon counting CT using virtual monoenergetic images
Metal artifact reduction in patients with total hip replacements: evaluation of clinical photon counting CT using virtual monoenergetic images Open
Objectives To investigate photon-counting CT (PCCT)–derived virtual monoenergetic images (VMI) for artifact reduction in patients with unilateral total hip replacements (THR). Methods Forty-two patients with THR and portal-venous phase PCC…
View article: GPT-4 for Automated Determination of Radiologic Study and Protocol Based on Radiology Request Forms: A Feasibility Study
GPT-4 for Automated Determination of Radiologic Study and Protocol Based on Radiology Request Forms: A Feasibility Study Open
Published under a CC BY 4.0 license.
View article: A deep learning-based reconstruction approach for accelerated magnetic resonance image of the knee with compressed sense: evaluation in healthy volunteers
A deep learning-based reconstruction approach for accelerated magnetic resonance image of the knee with compressed sense: evaluation in healthy volunteers Open
Objectives: To evaluate the feasibility of combining compressed sense (CS) with a newly developed deep learning-based algorithm (CS-AI) using convolutional neural networks to accelerate 2D MRI of the knee. Methods: In this prospective stud…
View article: Detection and size measurements of kidney stones on virtual non-contrast reconstructions derived from dual-layer computed tomography in an ex vivo phantom setup
Detection and size measurements of kidney stones on virtual non-contrast reconstructions derived from dual-layer computed tomography in an ex vivo phantom setup Open
Objectives To systematically investigate the usability of virtual non-contrast reconstructions (VNC) derived from dual-layer CT (DLCT) for detection and size measurements of kidney stones with regards to different degrees of surrounding io…
View article: Assessment of COVID-19 lung involvement on computed tomography by deep-learning-, threshold-, and human reader-based approaches—an international, multi-center comparative study
Assessment of COVID-19 lung involvement on computed tomography by deep-learning-, threshold-, and human reader-based approaches—an international, multi-center comparative study Open
The manual semi-quantitative CCS underestimates the extent of COVID pneumonia in higher score ranges, which limits its clinical usefulness in cases of severe disease. Clinical implementation of fully automated methods, such as deep-learnin…
View article: Meaningful use of imaging resources to rule out cerebral venous sinus thrombosis after ChAdOx1 COVID-19 vaccination: Evaluation of the AHA diagnostic algorithm with a clinical cohort and a systematic data review
Meaningful use of imaging resources to rule out cerebral venous sinus thrombosis after ChAdOx1 COVID-19 vaccination: Evaluation of the AHA diagnostic algorithm with a clinical cohort and a systematic data review Open