This WHO/ISUP system is an attempt to develop as broad a consensus as possible in the classification of urothelial neoplasms, building upon earlier works and classification systems. It is meant to serve as a springboard for future studies that will help refine this classification, thus enabling us to provide better correlation of these lesions with their biologic behavior using uniform terminology.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1097/00000478-199812000-00001 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
[Pathologies of joint endoprostheses : Histopathological diagnostics for endoprosthetic centers].
Pathologie (Heidelb)
January 2025
Orthopädische Klinik und Poliklinik, Universitätsmedizin Rostock, Rostock, Deutschland.
Joint endoprosthetics is one of the most successful surgical-orthopedic procedures worldwide, enabling pain reduction and complete restoration of mobility. In the Federal Republic of Germany, around 400,000 joint endoprostheses, hip and knee joints are currently implanted every year ( https://www.eprd.
View Article and Find Full Text PDFAnaphylaxis definition, overview, and clinical support tool: 2024 consensus report.
J Allergy Clin Immunol
January 2025
Division of Allergy & Immunology, Icahn School of Medicine at Mount Sinai; New York, NY, USA.
Background: The 2006 National Institute of Allergy and Infectious Disease/Food Allergy and Anaphylaxis Network (NIAID/FAAN) anaphylaxis criteria are widely used in clinical care and research. In 2020, the World Allergy Organization (WAO) published modified criteria that have not been uniformly adopted. Different criteria contribute to inconsistent care and research outcomes.
View Article and Find Full Text PDFpLM4CPPs: Protein Language Model-Based Predictor for Cell Penetrating Peptides.
J Chem Inf Model
January 2025
Department of Grain Science and Industry, Kansas State University, Manhattan, Kansas 66506, United States.
Cell-penetrating peptides (CPPs) are short peptides capable of penetrating cell membranes, making them valuable for drug delivery and intracellular targeting. Accurate prediction of CPPs can streamline experimental validation in the lab. This study aims to assess pretrained protein language models (pLMs) for their effectiveness in representing CPPs and develop a reliable model for CPP classification.
View Article and Find Full Text PDFUse of ChatGPT Large Language Models to Extract Details of Recommendations for Additional Imaging From Free-Text Impressions of Radiology Reports.
AJR Am J Roentgenol
January 2025
Center for Evidence-Based Imaging, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, 1620 Tremont Street, Boston, MA 02120 Phone: 617-525-9702.
Automated extraction of actionable details of recommendations for additional imaging (RAIs) from radiology reports could facilitate tracking and timely completion of clinically necessary RAIs and thereby potentially reduce diagnostic delays. To assess the performance of large-language models (LLMs) in extracting actionable details of RAIs from radiology reports. This retrospective single-center study evaluated reports of diagnostic radiology examinations performed across modalities and care settings within five subspecialties (abdominal imaging, musculoskeletal imaging, neuroradiology, nuclear medicine, thoracic imaging) in August 2023.
View Article and Find Full Text PDFArtificial intelligence-enhanced magnetic resonance imaging-based pre-operative staging in patients with endometrial cancer.
Int J Gynecol Cancer
January 2025
Institute of Image-Guided Surgery, IHU Strasbourg, France; University of Strasbourg, ICube, Laboratory of Engineering, Computer Science and Imaging, Department of Robotics, Imaging, Teledetection and Healthcare Technologies, CNRS, UMR, Strasbourg, France.
Objective: Evaluation of prognostic factors is crucial in patients with endometrial cancer for optimal treatment planning and prognosis assessment. This study proposes a deep learning pipeline for tumor and uterus segmentation from magnetic resonance imaging (MRI) images to predict deep myometrial invasion and cervical stroma invasion and thus assist clinicians in pre-operative workups.
Methods: Two experts consensually reviewed the MRIs and assessed myometrial invasion and cervical stromal invasion as per the International Federation of Gynecology and Obstetrics staging classification, to compare the diagnostic performance of the model with the radiologic consensus.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!