Inertial Cavitation-based Release Estimation - ICbRE

Cancer research increasingly focuses on local drug release in tumorous tissue by using drug carriers. Concurrently, techniques to quantify the associated drug release are under investigation. This study presents a Inertial Cavitation-based Release Estimation (ICbRE) method. The estimation is based on the assessment of inertial cavitation (IC) noise and its correlation to release data. To develop ICbRE, we used poly(lactic-co-glycolic acid) (PLGA) nanocapsules loaded with a fluorescent dye, which were flowed through a tissue-mimicking phantom, and exposed them to focused ultrasound bursts at 550-950 kHz with peak rarefaction pressures (PRP) of 0.22-1.85 MPa, corresponding to mechanical index (MI) values of 0.3-1.9. Cavitation activity was recorded using a passive cavitation detection (PCD) system. By training on acoustic data, we derived weight functions, interpreted as transfer functions, to solve this inverse problem. These weight functions were multiplied by a test set of the acoustic data to estimate payload release. The most accurate estimation showed an absolute error of 0.3% and a standard deviation of 1.9% from the nominal value. Given its precision, we propose the integration of ICbRE into focused ultrasound systems to estimate drug carriers' payload release. In the course of prospective cancer treatments, a drug's released payload may be simultaneously quantified while monitoring the cavitation noise to ensure an effective therapy.

Authors

Institutions

Publication Details

Journal
Ultrasonics
Published
2025-12-06
DOI
https://doi.org/10.1016/j.ultras.2025.107897
Primary Topic
Ultrasound and Hyperthermia Applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Inertial Cavitation-based Release Estimation - ICbRE

Benedikt George, Jan Helmerich, Dagmar Fischer, Stefan J. Rupitsch et al.
Ultrasonics
Ultrasound and Hyperthermia Applications
article

Inertial Cavitation-based Release Estimation - ICbRE

Benedikt George, Jan Helmerich, Dagmar Fischer, Stefan J. Rupitsch, Ula Savšek, Georg Fischer
article en

Abstract

Cancer research increasingly focuses on local drug release in tumorous tissue by using drug carriers. Concurrently, techniques to quantify the associated drug release are under investigation. This study presents a Inertial Cavitation-based Release Estimation (ICbRE) method. The estimation is based on the assessment of inertial cavitation (IC) noise and its correlation to release data. To develop ICbRE, we used poly(lactic-co-glycolic acid) (PLGA) nanocapsules loaded with a fluorescent dye, which were flowed through a tissue-mimicking phantom, and exposed them to focused ultrasound bursts at 550-950 kHz with peak rarefaction pressures (PRP) of 0.22-1.85 MPa, corresponding to mechanical index (MI) values of 0.3-1.9. Cavitation activity was recorded using a passive cavitation detection (PCD) system. By training on acoustic data, we derived weight functions, interpreted as transfer functions, to solve this inverse problem. These weight functions were multiplied by a test set of the acoustic data to estimate payload release. The most accurate estimation showed an absolute error of 0.3% and a standard deviation of 1.9% from the nominal value. Given its precision, we propose the integration of ICbRE into focused ultrasound systems to estimate drug carriers' payload release. In the course of prospective cancer treatments, a drug's released payload may be simultaneously quantified while monitoring the cavitation noise to ensure an effective therapy.

UltrasonicsVol. 161
University of Freiburg (DE), Friedrich-Alexander-Universität Erlangen-Nürnberg (DE), Fraunhofer Institute for High-Speed Dynamics, Ernst-Mach-Institut (DE)
Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 62%
Ultrasound and Hyperthermia Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.