Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Cancer Therapies

Cancer Therapies

Cancer therapies are various modes of treatment, such as surgery, radiation therapy, and chemotherapy that are administered to cancer patients.
However, cancer treatments can pose several challenges, as therapies used to kill cancer cells are generally also toxic to normal cells. Moreover, cancer cells mutate rapidly and can develop resistance to chemical agents or radiation therapy. Besides, all types of cancer cells may not respond to the same therapy. Some cancer cells respond to one...

Cancer Survival Analysis

Cancer Survival Analysis

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...

Combination Therapies and Personalized Medicine

Combination Therapies and Personalized Medicine

Combining two or more treatment methods increases the life span of cancer patients while reducing damage to vital organs or tissue from the overuse of a single treatment. Combination therapy also targets different cancer-inducing pathways, thus reducing the chances of developing resistance to treatment.
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...

Targeted Cancer Therapies

Targeted Cancer Therapies

The targeted cancer therapies, also known as “molecular targeted therapies,” take advantage of the molecular and genetic differences between the cancer cells and the normal cells. It needs a thorough understanding of the cancer cells to develop drugs that can target specific molecular aspects that drive the growth, progression, and spread of cancer cells without affecting the growth and survival of other normal cells in the body.
There are several types of targeted therapies against specific...

You might also read

Related Articles

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

Sort by

Same author

The effect of hydroxychloroquine on activities of daily living and hand function in systemic sclerosis: results from an analysis of the EUSTAR cohort.

Arthritis research & therapy·2025

Same author

Redefining radiologic responses in high-risk soft-tissue sarcomas treated with neoadjuvant chemotherapy: final results of ISG-STS 1001, a randomized clinical trial.

ESMO open·2025

Same author

Overview on Hereditary Spherocytosis Diagnosis.

International journal of laboratory hematology·2024

Same author

Preventive effects of early immunosuppressive treatment on the development of interstitial lung disease in systemic sclerosis.

Rheumatology (Oxford, England)·2024

Same author

Clinical significance of the anti-Nucleolar Organizer Region 90 antibodies (NOR90) in systemic sclerosis: Analysis of the European Scleroderma Trials and Research (EUSTAR) cohort and a systematic literature review.

European journal of internal medicine·2024

Same author

The role of lung biopsy for diagnosis and prognosis of interstitial lung disease in systemic sclerosis: a systematic literature review.

Respiratory research·2024

Same journal

A perception-memory PDE framework for seasonal migration dynamics.

Journal of mathematical biology·2026

Same journal

Dynamic resource allocation in eukaryotic Resource Balance Analysis.

Journal of mathematical biology·2026

Same journal

Discrete-time exploitative competition model of different stage-specific predators.

Journal of mathematical biology·2026

Same journal

Spatiotemporal SEIQR Epidemic Modeling with Optimal Control for Vaccination, Treatment, and Social Measures.

Journal of mathematical biology·2026

Same journal

Phenotypic plasticity trade-offs in an age-structured model of bacterial growth under stress.

Journal of mathematical biology·2026

Same journal

Intraspecific interactions facilitate mutualism across multilayer networks under weak selection.

Journal of mathematical biology·2026

See all related articles

Search research articles

Related Experiment Video

Updated: May 25, 2026

Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies

Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies

Published on: February 6, 2019

Optimal solution for a cancer radiotherapy problem.

A Bertuzzi¹, C Bruni, F Papa

¹Istituto di Analisi dei Sistemi ed Informatica A. Ruberti, CNR, Viale Manzoni 30, 00185 Roma, Italy. carmela.sinisgalli@iasi.cnr.it

Journal of Mathematical Biology

|February 9, 2012

Summary

This summary is machine-generated.

This study optimizes radiotherapy fractionation schedules using the LQ model to maximize tumor damage while protecting normal tissues. Optimal schemes may vary weekly, offering new treatment strategies.

More Related Videos

Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy

Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy

Published on: June 7, 2015

Treatment of Liver Metastases Using an Internal Target Volume Method for Stereotactic Body Radiotherapy

Treatment of Liver Metastases Using an Internal Target Volume Method for Stereotactic Body Radiotherapy

Published on: May 8, 2018

Related Experiment Videos

Last Updated: May 25, 2026

Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies

Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies

Published on: February 6, 2019

Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy

Dynamic Lung Tumor Tracking for Stereotactic Ablative Body Radiation Therapy

Published on: June 7, 2015

Treatment of Liver Metastases Using an Internal Target Volume Method for Stereotactic Body Radiotherapy

Treatment of Liver Metastases Using an Internal Target Volume Method for Stereotactic Body Radiotherapy

Published on: May 8, 2018

Area of Science:

Radiation oncology
Mathematical modeling in medicine
Biophysics

Background:

Radiotherapy fractionation is crucial for treatment efficacy.
The Linear-Quadratic (LQ) model describes tissue response to radiation.
Accurate modeling requires accounting for cell repopulation and sublethal damage.

Purpose of the Study:

To determine optimal radiotherapy fractionation schemes.
To maximize tumor damage while respecting normal tissue constraints.
To analyze treatment structures within a one-week period.

Main Methods:

Formulation of a nonlinear programming problem.
Optimization of tumor damage under normal tissue constraints.
Analysis of the LQ model with exponential repopulation and incomplete repair.

Main Results:

Identification of optimal fractionation structures.
Proof of unique optimal solutions in specific scenarios (no incomplete repair or dominant late effects).
Demonstration that optimal fractionation may not be uniform weekly.

Conclusions:

The study provides a framework for optimizing radiotherapy fractionation.
Theoretical findings are supported by numerical simulations.
Results offer insights into advanced treatment planning for improved outcomes.