Sci Rep July 2023 PMID 37414844

Mathematical model combined with microdosimetric kinetic model for tumor volume calculation in stereotactic body radiation therapy.

Hisashi Nakano, Takehiro Shiinoki, Satoshi Tanabe, Satoru Utsunomiya, Takeshi Takizawa, Motoki Kaidu, Teiji Nishio, Hiroyuki Ishikawa

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Peak: 1 in Jul 2023

across 2 sources since Jul 2023

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Jul 2023 – Oct 2023

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What people are saying

Most comments support the innovative combination of models, highlighting its potential for more accurate tumor volume predictions in SBRT, with phrases like 'game-changing' and 'valuable advancement.' The tone varies from technical appreciation to cautious optimism, reflecting both interest and recognition of the study's relevance.

AgreementModerate agreement

Many discussions acknowledge the significance of combining mathematical and microdosimetric models, with some explicitly supporting the study's findings on improved tumor volume prediction.

InterestHigh interest

Posts show high curiosity, with students expressing enthusiasm about the novel modeling approach and its implications for lung cancer treatment.

EngagementModerate engagement

Several comments delve into technical aspects like the effects of radiation doses and modeling methods, indicating active participation.

ImpactModerate impact

Discussions suggest this research could influence future treatment planning or modeling approaches, although some see it as a preliminary step.

Abstract in brief

The researchers developed a new mathematical model that combines an ordinary differential equation (ODE) and a microdosimetric kinetic model (MKM) to predict tumor cell death in stereotactic body radiation therapy (SBRT) for nonsmall cell lung cancer (NSCLC) using cell lines A549 and NCIH460.
The study assessed how different factors like radiation doses (48Gy4fr and 54Gy3fr), the ratio of active to quiescent tumors, and the duration of dose delivery (t) influence tumor volume reduction, with the combined MKM and ODE model showing better prediction of radiation effectiveness (REV) compared to other models.
The results indicate that integrating MKM with the tumor growth model decreases REV at certain doses, especially when considering larger doses and longer dose delivery times, providing a more precise way to evaluate treatment efficacy in lung SBRT.

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All mentions

Combining Mathematical and Microdosimetric Models for Tumor Volume Prediction in SBRT

Researchers developed a new mathematical model combining ODE and microdosimetric kinetic model to predict tumor cell death in SBRT for lung cancer, improving accuracy in treatment efficacy evaluation.

Medicine RTCL TV · Oct 20, 2023 48 views

Radiation Research Society

@RRS_RadRes · X

Mathematical model combined with microdosimetric kinetic model for tumor volume calculation in stereotactic body radiation therapy https://t.co/x3qyBTV370

Jul 10, 2023 · 2 likes · 2,031 followers View post →