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

Cancer Prevention02:59

Cancer Prevention

8.6K
Several factors can increase the risk of cancer in an individual. About 50% of cancer cases can be prevented by adopting a healthy lifestyle, regular exercise, eating healthy, and following a modest cancer prevention diet. Epidemiological studies have consistently shown that populations with vegetable and fruit-rich diets have reduced the incidence of cancer. On the other hand, populations who have a diet rich in animal fat, red meat, junk food, or high calories are predisposed to cancer.
Some...
8.6K
Cancer Survival Analysis01:21

Cancer Survival Analysis

807
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
807

You might also read

Related Articles

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

Sort by
Same author

Patient-specific models for lung nodule detection and surveillance in CT images.

IEEE transactions on medical imaging·2002
Same author

Spiral versus electron-beam CT for coronary artery calcium scoring.

Radiology·2001
Same author

The effect of imaging modality on patient management in the evaluation of pulmonary thromboembolism.

Journal of thoracic imaging·2001
Same author

Problem-oriented prefetching for an integrated clinical imaging workstation.

Journal of the American Medical Informatics Association : JAMIA·2001
Same author

A consensus statement of the Society of Thoracic Radiology: screening for lung cancer with helical computed tomography.

Journal of thoracic imaging·2001
Same author

Contemporary cardiac imaging: an overview.

Journal of thoracic imaging·2000
Same journal

Diagnostic accuracy of flat panel computed tomography for acute stroke: a systematic review and meta-analysis of diagnostic test accuracy studies.

Clinical radiology·2026
Same journal

Nuclear medicine techniques in gynaecological malignancy: a review of best practice.

Clinical radiology·2026
Same journal

Deep learning reconstruction dual-energy computed tomography for gastrointestinal system tumors: low-kiloelectron volt imaging vs routine imaging.

Clinical radiology·2026
Same journal

Deep learning-based reconstruction for 5.0T magnetic resonance imaging (MRI) in nasopharyngeal carcinoma: comparison of image quality and diagnostic efficacy.

Clinical radiology·2026
Same journal

Papillary muscle fibrosis on cardiac magnetic resonance imaging: a pictorial review of causes, diagnostic challenges and practical pearls.

Clinical radiology·2026
Same journal

Deep learning-based automated assessment of pulmonary artery indices and surgical approach triage for tetralogy of Fallot from multicenter cardiac computed tomography (CT).

Clinical radiology·2026
See all related articles

Related Experiment Video

Updated: Mar 9, 2026

Use of Electromagnetic Navigational Transthoracic Needle Aspiration E-TTNA for Sampling of Lung Nodules
06:03

Use of Electromagnetic Navigational Transthoracic Needle Aspiration E-TTNA for Sampling of Lung Nodules

Published on: May 23, 2015

22.9K

Implementing lung cancer screening: the US experience.

D R Aberle1

  • 1Department of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, CA 90024, USA.

Clinical Radiology
|January 11, 2017
PubMed
Summary
This summary is machine-generated.

Low-dose computed tomography (LDCT) screening reduces lung cancer mortality. Radiologists can improve patient selection, nodule management, and smoking cessation support to maximize screening benefits and reduce mortality.

More Related Videos

MicroRNA Based Liquid Biopsy: The Experience of the Plasma miRNA Signature Classifier MSC for Lung Cancer Screening
08:14

MicroRNA Based Liquid Biopsy: The Experience of the Plasma miRNA Signature Classifier MSC for Lung Cancer Screening

Published on: October 26, 2017

16.3K

Related Experiment Videos

Last Updated: Mar 9, 2026

Use of Electromagnetic Navigational Transthoracic Needle Aspiration E-TTNA for Sampling of Lung Nodules
06:03

Use of Electromagnetic Navigational Transthoracic Needle Aspiration E-TTNA for Sampling of Lung Nodules

Published on: May 23, 2015

22.9K
MicroRNA Based Liquid Biopsy: The Experience of the Plasma miRNA Signature Classifier MSC for Lung Cancer Screening
08:14

MicroRNA Based Liquid Biopsy: The Experience of the Plasma miRNA Signature Classifier MSC for Lung Cancer Screening

Published on: October 26, 2017

16.3K

Area of Science:

  • Radiology
  • Pulmonology
  • Public Health

Background:

  • National Lung Screening Trial (NLST) demonstrated reduced lung cancer mortality with low-dose computed tomography (LDCT) screening.
  • Annual LDCT screening is now a covered benefit in the US, requiring data submission for reimbursement.
  • Current guidelines improve false-positive rates but struggle with accurate nodule classification and smoking cessation support.

Purpose of the Study:

  • To explore opportunities for radiologists to enhance LDCT screening benefits.
  • To improve patient selection, nodule management, and smoking cessation interventions within the radiology setting.
  • To re-engineer imaging practice for improved lung cancer early detection and mortality reduction.

Main Methods:

  • Systematic data collection on screen-detected and incidentally detected lung nodules.
  • Analysis of current nodule management and tracking guidelines.
  • Evaluation of smoking cessation support within clinical practices.

Main Results:

  • Eligible individuals for screening represent a minority of all lung cancer diagnoses.
  • Current nodule management guidelines reduce false positives but have limitations in classifying nodules.
  • Smoking cessation is often inadequately addressed in busy clinical practices.

Conclusions:

  • Radiologists are uniquely positioned to collect longitudinal data to refine screening eligibility and improve nodule management.
  • Optimizing the screening setting can enhance smoking cessation motivation and provision.
  • Re-engineering imaging practice can significantly contribute to lung cancer early detection and mortality reduction.