Comparison of optimized magnetic resonance sequences for patient‐specific treatment planning in surface brachytherapy

The geometric accuracy of each MR sequence suggests that each can produce accurate treatment plans. The higher SNR's for DOP suggest DOP's suitability for SB, and DOP was utilized to create plans comparable to CT. This novel approach can result in more robust target coverage and potentially improve patient outcomes.

Authors

Institutions

Publication Details

Journal
Medical Physics
Published
2025-09-23
DOI
https://doi.org/10.1002/mp.70031
Citations
1
Primary Topic
Advanced Radiotherapy Techniques
Type
article
Field-Weighted Citation Impact
1.88
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comparison of optimized magnetic resonance sequences for patient‐specific treatment planning in surface brachytherapy

Michael J. Lavelle, Ivan Buzurović, Phillip M. Devlin, Evangelia Kaza
1 citations
Medical Physics
Advanced Radiotherapy Techniques
1.88
article

Comparison of optimized magnetic resonance sequences for patient‐specific treatment planning in surface brachytherapy

Michael J. Lavelle, Ivan Buzurović, Phillip M. Devlin, Evangelia Kaza
article en
1 citations

Abstract

The geometric accuracy of each MR sequence suggests that each can produce accurate treatment plans. The higher SNR's for DOP suggest DOP's suitability for SB, and DOP was utilized to create plans comparable to CT. This novel approach can result in more robust target coverage and potentially improve patient outcomes.

Medical PhysicsVol. 52(10)
University of Massachusetts Lowell (US), Harvard University (US), Dana-Farber Brigham Cancer Center (US)
Openalex Percentile: Top 13%
Advanced Radiotherapy Techniques
1.88
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.