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 Survival Analysis01:21

Cancer Survival Analysis

645
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...
645
Radiological Investigation II: MRI and Ventilation Perfusion Scan01:30

Radiological Investigation II: MRI and Ventilation Perfusion Scan

521
Description
Magnetic Resonance Imaging (MRI) and Ventilation Perfusion Scans are two radiological investigations that offer detailed diagnostic images of the body, particularly lung structures.
MRI
MRI uses magnetic fields and radiofrequency signals to distinguish between normal and abnormal tissues. This technology provides a more detailed diagnostic image than CT scans, enabling it to characterize pulmonary nodules, stage bronchogenic carcinoma, and evaluate inflammatory activity in...
521

You might also read

Related Articles

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

Sort by
Same author

Sub-second fluctuations between top-down and bottom-up modes distinguish diverse human brain states.

Current biology : CB·2026
Same author

<i>Salmonella</i> Typhi asparaginase-dependent activation of GCN2 promotes bacterial killing in murine macrophages.

Infection and immunity·2026
Same author

Validation of the Korean Versions of the Scale of Food Allergy Anxiety and the Food Allergy Anxiety Scales for Children and Parents.

Allergy, asthma & immunology research·2026
Same author

Scaling Surface-Guided Radiation Therapy to Larger Lung Cancer Cohorts: Frameless Immobilization and Enhanced Setup Accuracy.

Life (Basel, Switzerland)·2026
Same author

<i>Salmonella</i> Typhi asparaginase-dependent activation of GCN2 promotes bacterial killing in murine macrophages.

bioRxiv : the preprint server for biology·2026
Same author

Effects of feeding type on gut microbiota and atopic dermatitis in cesarean delivered infants: a combined birth cohort study.

Food science of animal resources·2026
Same journal

Correction: Yalçın et al. Impact of SGLT2 Inhibitors on Cardiovascular Risk Scores, Metabolic Parameters, and Laboratory Profiles in Type 2 Diabetes. <i>Life</i> 2025, <i>15</i>, 722.

Life (Basel, Switzerland)·2026
Same journal

Correction: Schubert et al. Minimally Invasive Ablation Strategies for Renal Cell Carcinoma Patients Ineligible for Surgery. <i>Life</i> 2026, <i>16</i>, 73.

Life (Basel, Switzerland)·2026
Same journal

Blood Group Antigen Combinations and COVID-19: Complexity, Associations and Possible Clinical Relevance.

Life (Basel, Switzerland)·2026
Same journal

Beyond HPV in Eastern Europe: Genotype Distribution, Molecular Biomarkers, Vaginal Microbiome, and Implications for Cervical Cancer Prevention.

Life (Basel, Switzerland)·2026
Same journal

Therapeutic Effects of <i>Scutellaria baicalensis</i> Georgi Extract and Baicalein on Olfactory Dysfunction and Neurobehavioral Alterations in a Methimazole-Induced Injury Model.

Life (Basel, Switzerland)·2026
Same journal

The Effects of Unstable Strength Training on Lower Limb Stability in Adolescent Volleyball Players in China.

Life (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Jan 13, 2026

Multifractal Spectrum Analysis for Assessing Pulmonary Nodule Malignancy
05:24

Multifractal Spectrum Analysis for Assessing Pulmonary Nodule Malignancy

Published on: January 10, 2025

745

Radiation Pneumonitis Risk Assessment Using Fractal Analyses in NSCLC Patients Treated with Curative-Intent

Jeongeun Hwang1, Sun Myung Kim2, Joon-Young Moon3,4

  • 1Department of Medical IT Engineering, Soonchunhyang University, Asan-si 31538, Chungcheongnam-do, Republic of Korea.

Life (Basel, Switzerland)
|October 29, 2025
PubMed
Summary
This summary is machine-generated.

Complex imaging analysis can predict radiation pneumonitis (RP) in non-small cell lung cancer (NSCLC) patients undergoing radiotherapy (RT). This study introduces a decision tree model using fractal biomarkers to identify high-risk patients for personalized treatment.

Keywords:
fractalimaging biomarkernon-small cell lung cancerradiation pneumonitisradiotherapy

More Related Videos

Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy
08:17

Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy

Published on: June 7, 2015

16.2K
Radiosensitivity of Cancer Stem Cells in Lung Cancer Cell Lines
09:45

Radiosensitivity of Cancer Stem Cells in Lung Cancer Cell Lines

Published on: August 21, 2019

7.5K

Related Experiment Videos

Last Updated: Jan 13, 2026

Multifractal Spectrum Analysis for Assessing Pulmonary Nodule Malignancy
05:24

Multifractal Spectrum Analysis for Assessing Pulmonary Nodule Malignancy

Published on: January 10, 2025

745
Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy
08:17

Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy

Published on: June 7, 2015

16.2K
Radiosensitivity of Cancer Stem Cells in Lung Cancer Cell Lines
09:45

Radiosensitivity of Cancer Stem Cells in Lung Cancer Cell Lines

Published on: August 21, 2019

7.5K

Area of Science:

  • Radiology and Imaging
  • Oncology
  • Medical Physics

Background:

  • Radiation pneumonitis (RP) is a significant side effect of thoracic radiotherapy.
  • Predicting RP risk is crucial for optimizing treatment in non-small cell lung cancer (NSCLC) patients.
  • Current predictive methods may not fully capture the complexity of lung tissue changes post-radiotherapy.

Purpose of the Study:

  • To evaluate the prognostic utility of complex morphometric (fractal) imaging biomarkers for predicting RP in NSCLC patients.
  • To develop a quantitative prognostic framework using these biomarkers.
  • To assess fractal features like box-counting fractal dimension (BoxFD), lacunarity, and minimum spanning tree fractal dimension (MSTFD).

Main Methods:

  • Retrospective analysis of 166 NSCLC patients undergoing curative-intent radiotherapy (RT).
  • Measurement of fractal features from pre-treatment and follow-up chest CT scans.
  • Development of a Random Forest model (RFM) and a decision tree model using key predictors.

Main Results:

  • RP (grade ≥ 2) occurred in 22.3% (RT alone) and 54.3% (CCRT) of patients.
  • Lacunarity increased post-RT; BoxFD and MSTFD showed no significant changes.
  • RFM identified pre-RT MSTFD and lung dose parameters as key predictors, with decision tree models achieving high AUROC (0.83-0.85).

Conclusions:

  • Fractal imaging biomarkers show promise in predicting grade ≥ 2 RP in NSCLC patients.
  • The proposed decision tree model can aid in early identification of high-risk patients.
  • This framework supports personalized treatment strategies and future research in radiation oncology.