Monte Carlo assessment of a treatment planning system for intraoperative radiotherapy in the presence of tissue heterogeneities

BACKGROUND: Radiance is a Monte Carlo-based treatment planning software integrated into the Intrabeam system for 50-kVp X-rays intraoperative radiotherapy (IORT). PURPOSE: This study evaluates Radiance accuracy in calculating absorbed dose in IORT of the breast including the effect of tissue heterogeneities. METHODS: Dose distributions from IORT were calculated in 88 virtual phantoms of different tissue-equivalent materials. Dose was calculated independently using the penEasy code for the PENELOPE Monte Carlo engine and compared to Radiance. Depth dose curves (DDCs) were compared through gamma analysis using 5%/0.5 mm and 3%/0.5 mm criteria. RESULTS: When comparing Radiance vs penEasy all passing rates were above 95%. Notable differences from dose to water emerged for some tissues: cortical bone absorbed about four times more than water, while adipose tissue received about 45% less. These variations were affected by atomic number more than density. CONCLUSION: Radiance results show strong agreement with penEasy simulations. Furthermore, it was observed that IORT absorbed doses can fluctuate by ± 50% due to heterogeneities surrounding the applicator. This highlights that the prescribed dose and the absorbed dose in the applicator surface do not necessarily coincide in non-water tissues, emphasizing the critical need to account for specific tissue characteristics during treatment planning.

Authors

Institutions

Publication Details

Journal
Medical Physics
Published
2026-06-27
DOI
https://doi.org/10.1002/mp.70527
Primary Topic
Advanced Radiotherapy Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Monte Carlo assessment of a treatment planning system for intraoperative radiotherapy in the presence of tissue heterogeneities

Michele Avanzo, Alejandro García Romero, P. Ortega-Pardina, R. Cirio et al.
Medical Physics
Advanced Radiotherapy Techniques
article

Monte Carlo assessment of a treatment planning system for intraoperative radiotherapy in the presence of tissue heterogeneities

Michele Avanzo, Alejandro García Romero, P. Ortega-Pardina, R. Cirio, Aurora Corso, Elena Gonzalez‐Gonzalez, F. Javier Jimenez‐Albericio, Daniel Vera‐Tena
article en

Abstract

BACKGROUND: Radiance is a Monte Carlo-based treatment planning software integrated into the Intrabeam system for 50-kVp X-rays intraoperative radiotherapy (IORT). PURPOSE: This study evaluates Radiance accuracy in calculating absorbed dose in IORT of the breast including the effect of tissue heterogeneities. METHODS: Dose distributions from IORT were calculated in 88 virtual phantoms of different tissue-equivalent materials. Dose was calculated independently using the penEasy code for the PENELOPE Monte Carlo engine and compared to Radiance. Depth dose curves (DDCs) were compared through gamma analysis using 5%/0.5 mm and 3%/0.5 mm criteria. RESULTS: When comparing Radiance vs penEasy all passing rates were above 95%. Notable differences from dose to water emerged for some tissues: cortical bone absorbed about four times more than water, while adipose tissue received about 45% less. These variations were affected by atomic number more than density. CONCLUSION: Radiance results show strong agreement with penEasy simulations. Furthermore, it was observed that IORT absorbed doses can fluctuate by ± 50% due to heterogeneities surrounding the applicator. This highlights that the prescribed dose and the absorbed dose in the applicator surface do not necessarily coincide in non-water tissues, emphasizing the critical need to account for specific tissue characteristics during treatment planning.

Medical PhysicsVol. 53(7)
Universidad de Zaragoza (ES), Centro di Riferimento Oncologico (IT), Hospital Clínico Universitario Lozano Blesa (ES), Istituti di Ricovero e Cura a Carattere Scientifico (IT), University of Turin (IT)
Openalex Percentile: Top 6%
Advanced Radiotherapy Techniques
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.