A PHP Error was encountered

Severity: Warning

Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests

Filename: helpers/my_audit_helper.php

Line Number: 143

Backtrace:

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 143
Function: file_get_contents

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 209
Function: simplexml_load_file_from_url

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3051
Function: getPubMedXML

File: /var/www/html/application/controllers/Detail.php
Line: 574
Function: pubMedSearch_Global

File: /var/www/html/application/controllers/Detail.php
Line: 488
Function: pubMedGetRelatedKeyword

File: /var/www/html/index.php
Line: 316
Function: require_once

A PHP Error was encountered

Severity: Warning

Message: Attempt to read property "Count" on bool

Filename: helpers/my_audit_helper.php

Line Number: 3053

Backtrace:

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3053
Function: _error_handler

File: /var/www/html/application/controllers/Detail.php
Line: 574
Function: pubMedSearch_Global

File: /var/www/html/application/controllers/Detail.php
Line: 488
Function: pubMedGetRelatedKeyword

File: /var/www/html/index.php
Line: 316
Function: require_once

Study on the reproducibility of thyroid lesions telecytology diagnoses based upon digitized images. | LitMetric

AI Article Synopsis

  • This study assesses how reliable and useful telecytology (remote diagnosis using digitized images) is for diagnosing thyroid lesions from fine-needle aspiration samples prepared with liquid-based cytology.
  • A total of 270 digital cytological images were reviewed multiple times by five experienced cytopathologists over 6 and 12 months, showing that their diagnostic accuracy remained consistent across different reviews.
  • The results indicate that the telecytology method yields almost perfect agreement among observers and can be as reliable as traditional microscopy, as long as the images are of high quality and standard diagnostic criteria are followed.

Article Abstract

The objective of this study is to evaluate the reproducibility and usefulness of telecytology diagnoses proffered on the basis of digitized images from fine-needle aspiration specimens prepared by means of liquid-based cytology. Representative digital cytological images from a total of 270 thyroid fine-needle aspiration specimens were transferred via file transfer protocol to specific password-protected accounts and were remotely reviewed by five independent board-certified cytopathologists (initial round). Their reports were recorded and classified. After 6 and 12 months, the same representative digital images were transferred in random order to the same cytopathologists and were reviewed again (first and second review rounds). The cytopathologists' first and second round diagnoses were recorded and compared with their initial ones. Statistical evaluation of cytological diagnoses detected no significant difference in diagnostic accuracy among initial and review diagnoses. The overall interobserver agreement was almost perfect with κ values of 0.869-0.939, whereas intraobserver agreement ranged from almost perfect to perfect with κ values of 0.967-1 in all diagnostic rounds. Digitized cytological images transmission and remote evaluation allows reproducible diagnosis of thyroid gland lesions. Diagnoses made by using static telecytology systems can be equally reliable to those made by using conventional microscopy, provided that representative images are utilized and that the standard cytological diagnostic criteria are applied.

Download full-text PDF

Source
http://dx.doi.org/10.1002/dc.21419DOI Listing

Publication Analysis

Top Keywords

telecytology diagnoses
8
digitized images
8
fine-needle aspiration
8
aspiration specimens
8
representative digital
8
cytological images
8
perfect values
8
diagnoses
6
images
6
study reproducibility
4

Similar Publications

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!