Cystoscopy is the principal method in the diagnosis of bladder cancer and precancer, but though visual examination of the bladder cavity via a cystoscope is comparatively easy, early correct diagnosis is not always possible because of small volume of the bladder, urethral stricture, mucosal changes in the bladder. That is why so much attention is paid to the cytologic diagnosis of bladder conditions. To estimate the diagnostic value of the cytologic method for the recognition of bladder precancer states and cancer the authors have analyzed cytograms of 145 patients. Smears obtained by alcohol washing off were under study. Cytologic and cytochemical analysis of alcohol washings-off has proved to be a valuable extra method for the diagnosis of pretumor and tumor processes; along with cystoscopy and biopsy the cytologic method is recommended for wide practice, for its use will contribute to earlier detection of urologic conditions.
Download full-text PDF |
Source |
|---|
Publication Analysis
Top Keywords
Similar Publications
Trends, characteristics, and outcomes of pregnancy in women with attention-deficit hyperactivity disorder: A nationwide analysis.
Eur J Obstet Gynecol Reprod Biol
January 2025
Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Southern California, Los Angeles, CA, USA; Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Los Angeles General Medical Center, Los Angeles, CA, USA; Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA. Electronic address:
Objective: To assess clinical and obstetric characteristics associated with pregnant patients with a diagnosis of attention-deficit hyperactivity disorder (ADHD).
Methods: This serial cross-sectional study queried the Agency of Healthcare Research and Quality's Healthcare Cost and Utilization Project National Inpatient Sample. The study population was 16,759,786 hospital deliveries from 2016 to 2020.
Cytomorphological diagnosis of sarcoidosis using EBUS-TBNA in a tuberculosis-endemic region.
Rev Esp Patol
January 2025
Department of Pathology, Vardhman Mahavir Medical College and Safdarjung Hospital, New Delhi, India.
Background: Sarcoidosis, a granulomatous inflammatory disease, exhibits diverse clinical manifestations, often affecting multiple organs. Diagnostic challenges arise due to its similarities with tuberculosis, particularly in high-burden areas. Differentiating between the two relies on clinical judgment, laboratory tests, imaging, and invasive procedures.
View Article and Find Full Text PDFIdentification of an ANCA-associated vasculitis cohort using deep learning and electronic health records.
Int J Med Inform
January 2025
Rheumatology and Allergy Clinical Epidemiology Research Center and Division of Rheumatology, Allergy, and Immunology, and Mongan Institute, Department of Medicine, Massachusetts General Hospital Boston MA USA. Electronic address:
Background: ANCA-associated vasculitis (AAV) is a rare but serious disease. Traditional case-identification methods using claims data can be time-intensive and may miss important subgroups. We hypothesized that a deep learning model analyzing electronic health records (EHR) can more accurately identify AAV cases.
View Article and Find Full Text PDFEvaluation of dry eye parameters and meibomian gland function using the Lipiscan system in male androgenetic alopecia patients.
Clin Exp Optom
January 2025
Department of Ophthalmology, Giresun University, Giresun, Turkey.
Clinical Relevance: The prevalence of male androgenetic alopecia is increasing worldwide. Evaluation of dry eye parameters and meibomian glands of male androgenetic alopecia patients may help to better understand the effect of this disease on dry eye and to provide appropriate treatment for these patients.
Background: The aim of this work is to evaluate the relationship between male androgenetic alopecia, dry eye, and meibomian gland function.
Large Language Model Approach for Zero-Shot Information Extraction and Clustering of Japanese Radiology Reports: Algorithm Development and Validation.
JMIR Cancer
January 2025
Division of Radiology and Biomedical Engineering, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Background: The application of natural language processing in medicine has increased significantly, including tasks such as information extraction and classification. Natural language processing plays a crucial role in structuring free-form radiology reports, facilitating the interpretation of textual content, and enhancing data utility through clustering techniques. Clustering allows for the identification of similar lesions and disease patterns across a broad dataset, making it useful for aggregating information and discovering new insights in medical imaging.
View Article and Find Full Text PDFWant 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!