ASCO classification in clinical practice.

Ideggyogy Sz

Pamukkale University, School of Medicine, Department of Neurology, Denizli, Turkey.

Published: January 2013

ASCO (Atherosclerosis, Small vessel disease, Cardiac source, Other cause) is a new of classification of ischemic cerebrovascular diseases. This classification categorizes the data of the patients according to all underlying diseases and allows the clinician to grade the severity of cause (Each of the four phenotypes can be graded 1, 2, or 3). It is suggested to use ASCO classification in large epidemiologic studies but this classification may be used in daily practice. In this study we aimed to analyze the clinical features of patients with ischemic stroke and to investigate results of ASCO classification of these patients and data of 35 patients with ischemic stroke is analyzed. Use of ASCO classification is discussed with the special example cases. Patients' etiology of stroke was classified according to ASCO as known, unknown, completely unknown and unclassifiable group. Percentile of the patients classified as "known" was 71.4% (n = 25), "unknown" was 17.1% (n = 6), "completely unknown" was 5.7% (n = 2) and "unclassifiable group" was 5.7% (n = 2). We think that the ASCO classification which is thought to be more useful in large epidemiologic studies may be used in clinical follow-up period of the stroke patients. Further studies, from different neurology centers and stroke units, are needed to expand our experiences about use of ASCO classification in clinical practice.

Download full-text PDF

Source

Publication Analysis

Top Keywords

asco classification
24
asco
8
classification clinical
8
clinical practice
8
classification
8
data patients
8
large epidemiologic
8
epidemiologic studies
8
patients ischemic
8
ischemic stroke
8

Similar Publications

Lung neuroendocrine neoplasms are a group of diverse, heterogeneous tumours that range from well-differentiated, low-grade neuroendocrine tumours-such as typical and atypical carcinoids-to high-grade, poorly differentiated aggressive malignancies, such as large-cell neuroendocrine carcinoma (LCNEC) and small-cell lung cancer (SCLC). While the incidence of SCLC has decreased, the worldwide incidence of other pulmonary neuroendocrine neoplasms has been increasing over the past decades. In addition to the standard histopathological classification of lung neuroendocrine neoplasms, the introduction of molecular and sequencing techniques has led to new advances in understanding the biology of these diseases and might influence future classifications and staging that can subsequently improve management guidelines in the adjuvant or metastatic settings.

View Article and Find Full Text PDF

A unique collaboration of multi-disciplinary experts from the European Association of Dermato-Oncology (EADO), the European Dermatology Forum (EDF), and the European Organization of Research and Treatment of Cancer (EORTC) was formed to make recommendations on cutaneous melanoma diagnosis and treatment, based on systematic literature reviews and the experts' experience. Cutaneous melanomas are excised with one to two-centimeter safety margins. For a correct stage classification and treatment decision, a sentinel lymph node biopsy shall be offered in patients with tumor thickness ≥ 1.

View Article and Find Full Text PDF

Purpose: Breast cancer relapses are rarely collected by cancer registries because of logistical and financial constraints. Hence, we investigated natural language processing (NLP), enhanced with state-of-the-art deep learning transformer tools and large language models, to automate relapse identification in the text of computed tomography (CT) reports.

Methods: We analyzed follow-up CT reports from patients diagnosed with breast cancer between January 1, 2005, and December 31, 2014.

View Article and Find Full Text PDF

This guideline was developed in close collaboration with multidisciplinary experts from the European Association of Dermato-Oncology (EADO), the European Dermatology Forum (EDF) and the European Organization for Research and Treatment of Cancer (EORTC). Recommendations for the diagnosis and treatment of melanoma were developed on the basis of systematic literature research and consensus conferences. Cutaneous melanoma (CM) is the most dangerous form of skin tumor and accounts for 90 % of skin cancer mortality.

View Article and Find Full Text PDF

Purpose: Population-based cancer registries (PBCRs) collect data on all new cancer diagnoses in a defined population. Data are sourced from pathology reports, and the PBCRs rely on manual and rule-based solutions. This study presents a state-of-the-art natural language processing (NLP) pipeline, built by fine-tuning pretrained language models (LMs).

View Article and Find Full Text PDF

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!