Quantitative ultrasound analysis for rib bones

Breast cancer is one of the most common cancers among women. Radiotherapy can cause damage to rib bones, increasing the risk of rib bone fractures. By improving the accessibility of rib monitoring, treatment plans could be adjusted to reduce these side effects. Quantitative ultrasound analysis, which has proven effective in detecting osteoporosis, is being explored as a potential tool for assessing rib bone health. The study consists of two parts: first, a simulation model of rib alterations was developed to train a regression model for predicting bone volume fraction (BV/TV) using ultrasound backscatter parameters. In the second part, small-scale in-vivo measurements were performed on healthy volunteers to compare the backscatter parameters from the in-silico and in-vivo analyses. The model demonstrated a statistically significant correlation between BV/TV and backscatter analysis, with similar distributions observed between the in-silico and in-vivo backscatter parameters. However, the regression model's ability to predict BV/TV was less accurate for rib bones with the highest degree of erosion.

Authors

Institutions

Publication Details

Published
2024-09-22
DOI
https://doi.org/10.1109/uffc-js60046.2024.10794153
Primary Topic
Autopsy Techniques and Outcomes
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Quantitative ultrasound analysis for rib bones

Clark R. Dickerson, Ari Salmi, Kay Raum, Felix Sundblad et al.
Autopsy Techniques and Outcomes
article

Quantitative ultrasound analysis for rib bones

Clark R. Dickerson, Ari Salmi, Kay Raum, Felix Sundblad, Cristina Herrera
article en

Abstract

Breast cancer is one of the most common cancers among women. Radiotherapy can cause damage to rib bones, increasing the risk of rib bone fractures. By improving the accessibility of rib monitoring, treatment plans could be adjusted to reduce these side effects. Quantitative ultrasound analysis, which has proven effective in detecting osteoporosis, is being explored as a potential tool for assessing rib bone health. The study consists of two parts: first, a simulation model of rib alterations was developed to train a regression model for predicting bone volume fraction (BV/TV) using ultrasound backscatter parameters. In the second part, small-scale in-vivo measurements were performed on healthy volunteers to compare the backscatter parameters from the in-silico and in-vivo analyses. The model demonstrated a statistically significant correlation between BV/TV and backscatter analysis, with similar distributions observed between the in-silico and in-vivo backscatter parameters. However, the regression model's ability to predict BV/TV was less accurate for rib bones with the highest degree of erosion.

University of Waterloo (CA), Charité - Universitätsmedizin Berlin (DE)
Zero hunger
Openalex Percentile: Top 60%
Autopsy Techniques and Outcomes
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.