Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Documentation of Nursing Diagnosis01:10

Documentation of Nursing Diagnosis

1.8K
The nurse documents nursing diagnoses and enters them into the patient record. The identified patient's nursing diagnosis is either written out with a plan of care or entered into the electronic health record.
In some settings, data-driven computerized decision support systems are in place, allowing for more accurate nursing diagnoses. The database within one of these systems includes diagnostic labels defining characteristics, activities, and indicators for nursing. A nurse enters...
1.8K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Development and Evaluation of a Mental Health Chatbot Using ChatGPT 4.0: Mixed Methods User Experience Study With Korean Users.

JMIR medical informatics·2025
Same author

Digital Interventions for Reducing Loneliness and Depression in Korean College Students: Mixed Methods Evaluation.

JMIR formative research·2024
See all related articles

Related Experiment Video

Updated: May 1, 2026

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

15.8K

Temporal Evolution of Diagnostic Code-Narrative Discrepancy in Pancreatic Imaging Surveillance: A Longitudinal

Boyoung Kang1

  • 1Sungkyunkwan University, Seoul, Republic of Korea. bykang2015@gmail.com.

Journal of Imaging Informatics in Medicine
|April 29, 2026
PubMed
Summary

Radiology reports for pancreatic cysts show persistent uncertainty language, even when diagnostic codes are stable over time. This suggests hedging reflects reporting practices, not evolving diagnostic confidence during surveillance.

Keywords:
Code-narrative discrepancyDiagnostic uncertaintyIPMNLongitudinal analysisNatural language processingPancreatic cystRadiology reporting

More Related Videos

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
14:27

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

15.2K
Robotic Duodenum-preserving Total Pancreatic Head Resection for Intraductal Papillary Mucinous Neoplasms
10:10

Robotic Duodenum-preserving Total Pancreatic Head Resection for Intraductal Papillary Mucinous Neoplasms

Published on: April 17, 2026

200

Related Experiment Videos

Last Updated: May 1, 2026

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

15.8K
Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
14:27

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

15.2K
Robotic Duodenum-preserving Total Pancreatic Head Resection for Intraductal Papillary Mucinous Neoplasms
10:10

Robotic Duodenum-preserving Total Pancreatic Head Resection for Intraductal Papillary Mucinous Neoplasms

Published on: April 17, 2026

200

Area of Science:

  • Medical Imaging
  • Natural Language Processing
  • Gastroenterology

Background:

  • Radiology reports for pancreatic cystic lesions often include uncertainty expressions (e.g., rule-out, differential diagnosis) alongside structured codes.
  • Previous studies noted the prevalence of hedging language, but the temporal relationship between codes and narrative uncertainty during long-term surveillance is underexplored.

Purpose of the Study:

  • To analyze the temporal evolution of diagnostic language in pancreatic imaging reports.
  • To integrate structured codes with natural language processing (NLP) for analyzing narrative uncertainty.
  • To quantify code-narrative discrepancy patterns over extended follow-up periods.

Main Methods:

  • Retrospective analysis of 1791 pancreatic imaging reports from 399 patients (March 2020-March 2024).
  • Developed a regular expression-based NLP algorithm to extract uncertainty expressions.
  • Standardized structured codes into five categories (Cyst, IPMN, Other, Tumor, R/O Malignancy) and analyzed patient trajectories.

Main Results:

  • 59.4% of patients had stable diagnostic codes, yet 32.7% showed persistent narrative uncertainty.
  • Uncertainty expression rates did not significantly decline over time (early 52.1% vs. late 62.1%).
  • 33.9% of patients with stable 'Cyst' codes received IPMN-related hedging language; diagnostic codes changed in 40.6% of patients.

Conclusions:

  • Structured diagnostic codes and narrative uncertainty in pancreatic imaging surveillance follow divergent temporal paths.
  • Persistent hedging language suggests reporting practices and risk communication, not necessarily evolving diagnostic certainty.
  • Improved alignment between structured codes and narrative communication is needed for clearer patient management.