Radiomics-driven spectral profiling of six kidney stone types with monoenergetic CT reconstructions in photon-counting CT.

Objectives: Urolithiasis, a common and painful urological condition, is influenced by factors such as lifestyle, genetics, and medication. Differentiating between different types of kidney stones is crucial for personalized therapy. The purpose of this study is to investigate the use of photon-counting computed tomography (PCCT) in combination with radiomics and machine learning to develop a method for automated and detailed characterization of kidney stones.

Automated Kidney Stone Composition Analysis with Photon-Counting Detector CT, a Performance Study-A Phantom Study.

Background: For treatment of urolithiasis, the stone composition is of particular interest, as uric acid (UA) stones can be treated by chemolitholysis. In this ex vivo study, we employed an advanced composition analysis approach for urolithiasis utilizing spectral data obtained from a photon-counting detector CT (PCDCT) to differentiate UA and non-UA stones. Our primary objective was to assess the accuracy of this analysis method.

[New tumor markers for testicular cancer - in the here and now and in the future].

Germ cell tumors of the testis are the most common tumor entities in young men. Since the introduction of platinum-based chemotherapy in the 1970s, most patients can be cured despite the aggressiveness of germ cell tumors. Optimal serum tumor markers are required for diagnostics, therapy monitoring and aftercare, and these are subject to high requirements.

Radiological Assessment of Different Retroperitoneal Lymph Node Measurements in Stage 1 Testicular Cancer Patients: Impact on Clinical Stage and Treatment.

In staging for testicular germ cell tumor (GCT), current guidelines lack consensus regarding the measurement of retroperitoneal lymph node metastasis, concerning the recommended plane and dimension. This exploratory study aimed to assess its impact on clinical stage (cS) and therapy. We retrospectively examined 154 cSI (retroperitoneal lymph nodes < 10 mm in axial short-axis diameter (SAD)) GCT patients, without adjuvant therapy and a follow-up ≥ 24 months.

Performance of ChatGPT-3.5 and ChatGPT-4 on the European Board of Urology (EBU) exams: a comparative analysis.

Background And Objective: In the transformative era of artificial intelligence, its integration into various spheres, especially healthcare, has been promising. The objective of this study was to analyze the performance of ChatGPT, as open-source Large Language Model (LLM), in its different versions on the recent European Board of Urology (EBU) in-service assessment questions.

Design And Setting: We asked multiple choice questions of the official EBU test books to ChatGPT-3.