Analysis of the results of investigation of 610 esophageal cancer patients treated in the Samarkand regional cancer center has shown that the rate of erroneous diagnosis based on anamnestic data and the results of clinical noninstrumental investigation is 70.5%. The rate of diagnostic errors of x-ray examination varies within 32.1-74.4%. Repeated x-ray examination in the negative group of patients revealed esophageal cancer in 17.8%. These cases can be regarded as potentialities of correct radiodiagnosis. Correct diagnosis in endoscopy was established in 89.6%. Esophagoscopy permitted not only correct diagnosis but also provided material for a morphological study.

Download full-text PDF

Source

Publication Analysis

Top Keywords

diagnostic errors
8
esophageal cancer
8
x-ray examination
8
correct diagnosis
8
[analysis diagnostic
4
cancer
4
errors cancer
4
cancer esophagus]
4
esophagus] analysis
4
analysis investigation
4

Similar Publications

Quantification and profiling of urine cells by integrated cytocentrifugation and infrared spectroscopy.

Spectrochim Acta A Mol Biomol Spectrosc

January 2025

Department of Analytical Chemistry, University of Valencia, Dr. Moliner 50, 46100 Burjassot, Spain. Electronic address:

The presence of cells in urine and in particular White Blood Cells (WBCs) is often associated with Urinary Tract Infections (UTIs) and other diseases. Non-invasive screening of WBCs requires the development of cost-effective point of care diagnostic tools. Infrared (IR) spectroscopy has the potential to identify and quantify cells in urine.

View Article and Find Full Text PDF

Introduction And Importance: Fallopian tube cancer, particularly the carcinosarcoma subtype, is a rare malignancy posing diagnostic challenges.

Case Presentation: Our patient was an 83-year-old, nulligravida woman, presented to our outpatient clinic with one month of pelvic pain. On examination, a pelvic mass was detected.

View Article and Find Full Text PDF

This paper presents a comparative study of different AI models for indoor positioning systems, emphasizing improvements in localization accuracy and processing time. This study examines Artificial Neural Networks (ANNs), Long Short-Term Memory (LSTM), Recurrent Neural Networks (RNNs), and the Kalman filter using a real Received Signal Strength Indicator (RSSI) and 9-axis ICM-20948 sensor. An in-depth analysis is provided in this paper for data cleaning and feature selection to reduce errors for all the models.

View Article and Find Full Text PDF

: This study investigates the potential of artificial intelligence (AI), specifically large language models (LLMs) like ChatGPT, to enhance decision support in diagnosing epilepsy. AI tools can improve diagnostic accuracy, efficiency, and decision-making speed. The aim of this study was to compare the level of agreement in epilepsy diagnosis between human experts (epileptologists) and AI (ChatGPT), using the 2014 International League Against Epilepsy (ILAE) criteria, and to identify potential predictors of diagnostic errors made by ChatGPT.

View Article and Find Full Text PDF

Fibrous Dysplasia of the Ethmoid Bone Diagnosed in a 10-Year-Old Patient.

Medicina (Kaunas)

December 2024

Department of Otolaryngology, Head and Neck Surgery, Wroclaw Medical University, 50-556 Wrocław, Poland.

Fibrous dysplasia is an uncommon bone disorder affecting various parts of the skeleton, often affecting facial and cranial bones. In this case, a 10-year-old patient was diagnosed with fibrous dysplasia of the ethmoid sinus at an early age. The patient has experienced nasal congestion, snores, and worsening nasal patency since 2019.

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!