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

You might also read

Related Articles

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

Sort by

Same author

Microvascular health status as a novel predictor of acute side effects after radiotherapy: a quantitative analysis across three cancer sites.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology·2026

Same author

Pharmacological Treatment of Cerebellar Ataxia in Pediatric Ataxia-Telangiectasia: A Systematic Review.

European journal of neurology·2026

Same author

Needle-track metastasis in diffuse intrinsic pontine glioma: Need for a standardized surgical strategy?

Neuro-oncology advances·2026

Same author

Electrographic-only seizures and status epilepticus in neonates with Tuberous Sclerosis Complex.

Pediatric research·2026

Same author

Fine specificity of antibodies to SARS-CoV-2 nucleoprotein in patients with COVID-19.

Immunologic research·2026

Same author

Mucosal Melanoma of the Head and Neck: A 45-Year Experience of a Tertiary Cancer Center.

Cancers·2026

Search research articles

Related Experiment Video

Updated: May 20, 2025

Author Spotlight: Computing the Effects of a Local Radiofrequency Hyperthermia Intervention on Tumor Biomechanics

Author Spotlight: Computing the Effects of a Local Radiofrequency Hyperthermia Intervention on Tumor Biomechanics

Published on: December 1, 2023

Patient-specific microvascular computational modeling for estimating radiotherapy outcomes.

Sophie Materne¹, Luca Possenti¹, Francesco Pisani¹

¹Data Science Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Venezian 1, Milan, 20133, Italy.

Computers in Biology and Medicine

|March 25, 2025

Summary

This study models head-and-neck cancer vascular networks to predict radiotherapy outcomes. Personalized digital twins reveal how microvascular structure impacts tumor oxygenation and treatment success.

Keywords:

Cancer Computational model Microvascular environment Precision medicine Radiotherapy outcomes

More Related Videos

Author Spotlight: Creating Human Vascularized Micro-Tumors as Models for Translational Cancer Research

Author Spotlight: Creating Human Vascularized Micro-Tumors as Models for Translational Cancer Research

Published on: September 15, 2023

Positron Emission Tomography-based Dose Painting Radiation Therapy in a Glioblastoma Rat Model using the Small Animal Radiation Research Platform

Positron Emission Tomography-based Dose Painting Radiation Therapy in a Glioblastoma Rat Model using the Small Animal Radiation Research Platform

Published on: March 24, 2022

Related Experiment Videos

Last Updated: May 20, 2025

Author Spotlight: Computing the Effects of a Local Radiofrequency Hyperthermia Intervention on Tumor Biomechanics

Author Spotlight: Computing the Effects of a Local Radiofrequency Hyperthermia Intervention on Tumor Biomechanics

Published on: December 1, 2023

Author Spotlight: Creating Human Vascularized Micro-Tumors as Models for Translational Cancer Research

Author Spotlight: Creating Human Vascularized Micro-Tumors as Models for Translational Cancer Research

Published on: September 15, 2023

Positron Emission Tomography-based Dose Painting Radiation Therapy in a Glioblastoma Rat Model using the Small Animal Radiation Research Platform

Positron Emission Tomography-based Dose Painting Radiation Therapy in a Glioblastoma Rat Model using the Small Animal Radiation Research Platform

Published on: March 24, 2022

Area of Science:

Computational biology
Medical physics
Oncology

Background:

Head-and-neck cancer treatment efficacy is influenced by the tumor microenvironment's vascular characteristics.
Accurate modeling of microvasculature is crucial for predicting radiotherapy response.

Purpose of the Study:

To develop and validate a personalized computational framework for modeling patient-specific head-and-neck cancer vascular microenvironments.
To evaluate the impact of microvascular features on radiotherapy outcomes, including oxygen delivery and tumor control.

Main Methods:

Population-based calibration of a microvascular model using sublingual microscopy data from 62 patients.
Personalization of digital microvascular networks for nine individual patients.
Integration of personalized models into a 3D virtual microenvironment for radiotherapy simulations.

Main Results:

Calibrated models accurately reproduced physiological parameters like red blood cell velocity.
Personalized models replicated individual vascular beds' structural and functional characteristics.
Higher vascularization correlated with enhanced oxygenation, reduced hypoxia, and improved tumor control probability.

Conclusions:

A personalized computational framework can create microvascular digital twins from patient sublingual microscopy data.
Microvascular network properties significantly influence radiotherapy outcomes in head-and-neck cancer.
This approach enhances understanding of the interplay between vascularization, oxygenation, and treatment effectiveness.