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

Radiological Investigation III: Pulmonary Angiogram and PET Scan01:13

Radiological Investigation III: Pulmonary Angiogram and PET Scan

86
Radiological investigations are paramount in the diagnosis and management of various pulmonary diseases. Two essential investigations are the Pulmonary Angiogram and the Positron Emission Tomography (PET) Scan.
Pulmonary Angiogram
A Pulmonary Angiogram is an invasive procedure involving injecting a contrast medium through a catheter threaded into the pulmonary artery or the right side of the heart to visualize the pulmonary vasculature. Computed Tomography (CT) scans have mainly replaced this...
86

You might also read

Related Articles

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

Sort by
Same author

Interfacial Microenvironment Effects on the Mechanism of Photocatalytic Methanol Conversion for Hydrogen Evolution.

The journal of physical chemistry letters·2026
Same author

BMX-001 acts as a selective chemoradioprotector in rectal cancer.

Redox biochemistry and chemistry·2026
Same author

Effect of Black Rice Starch on Structure and Physical-Mechanical Properties of Carboxymethyl Chitosan/Gellan Gum-Based Intelligent Food Packaging Film and Application in Monitoring Shrimp Freshness.

Polymers·2026
Same author

Perceived Barriers and Facilitators to Physical Activity Engagement Among Cancer Survivors: A Qualitative Study.

Cancers·2026
Same author

Role of Intermediate dose escalation of radiotherapy in the survival of unresectable stage III non-small cell lung cancer patients in the era of immunotherapy.

Frontiers in oncology·2026
Same author

Pathology-tailored nanotherapy via Galectin-3-targeted and triple-responsive nanoparticles enables multimodal therapy against aortic dissection.

Journal of nanobiotechnology·2026

Related Experiment Video

Updated: Jun 6, 2025

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

6.7K

Enhancing Survival Outcome Predictions in Metastatic Non-Small Cell Lung Cancer Through PET Radiomics Analysis.

Shuo Wang1, Darryl Belemlilga1,2, Yu Lei1

  • 1Department of Radiation Oncology, University of Nebraska Medical Center, Omaha, NE 68198, USA.

Cancers
|November 27, 2024
PubMed
Summary

Advanced lung cancer patients can be better risk-stratified using robust positron emission tomography (PET) radiomics features. These imaging biomarkers significantly improve survival prediction compared to clinical data alone.

Keywords:
non-small cell lung cancer (NSCLC)positron emission tomographyradiomics

More Related Videos

Gene Regulation and Targeted Therapy in Gastric Cancer Peritoneal Metastasis: Radiological Findings from Dual Energy CT and PET/CT
10:28

Gene Regulation and Targeted Therapy in Gastric Cancer Peritoneal Metastasis: Radiological Findings from Dual Energy CT and PET/CT

Published on: January 22, 2018

11.0K
Utilizing 18F-FDG PET/CT Imaging and Quantitative Histology to Measure Dynamic Changes in the Glucose Metabolism in Mouse Models of Lung Cancer
06:51

Utilizing 18F-FDG PET/CT Imaging and Quantitative Histology to Measure Dynamic Changes in the Glucose Metabolism in Mouse Models of Lung Cancer

Published on: July 21, 2018

17.8K

Related Experiment Videos

Last Updated: Jun 6, 2025

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

6.7K
Gene Regulation and Targeted Therapy in Gastric Cancer Peritoneal Metastasis: Radiological Findings from Dual Energy CT and PET/CT
10:28

Gene Regulation and Targeted Therapy in Gastric Cancer Peritoneal Metastasis: Radiological Findings from Dual Energy CT and PET/CT

Published on: January 22, 2018

11.0K
Utilizing 18F-FDG PET/CT Imaging and Quantitative Histology to Measure Dynamic Changes in the Glucose Metabolism in Mouse Models of Lung Cancer
06:51

Utilizing 18F-FDG PET/CT Imaging and Quantitative Histology to Measure Dynamic Changes in the Glucose Metabolism in Mouse Models of Lung Cancer

Published on: July 21, 2018

17.8K

Area of Science:

  • Oncology
  • Radiology
  • Medical Imaging

Background:

  • Advanced-stage lung cancer presents complex treatment challenges.
  • Accurate prognostic stratification is essential for optimal patient management.
  • Positron emission tomography (PET) radiomics offers potential for improved outcome prediction.

Purpose of the Study:

  • To identify key clinical and PET radiomics features for prognostic stratification in advanced lung cancer.
  • To evaluate the robustness of PET radiomics features against extraction uncertainties.
  • To develop and compare survival risk models using clinical, radiomics, and composite data.

Main Methods:

  • PET radiomics features were extracted from primary lung lesions in 99 patients with stage IVB non-small cell lung cancer (NSCLC).
  • Feature robustness was assessed against variations in extraction parameters and contouring.
  • Survival risk models (clinical, radiomics, composite) were trained using a penalized Cox model, and a Balanced Random Forest model predicted 1-year survival.

Main Results:

  • 367 common PET radiomics features demonstrated robustness to contour variation and parameter uncertainties.
  • Both radiomics and composite models significantly outperformed the clinical model in survival risk stratification.
  • Radiomics and composite models showed superior accuracy in predicting 1-year survival compared to the clinical model.

Conclusions:

  • Robust PET radiomics analysis is effective for stratifying survival risk in stage IVB NSCLC.
  • PET radiomics features enhance prognostic accuracy beyond traditional clinical factors.
  • This approach aids in predicting 1-year survival for patients with advanced lung cancer.