ReviewMedical physics2025
Seeing the invisible: In vivo dosimetry in radiotherapy with radiacoustic IMAGING.
Review in Medical physics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Radiation therapy is a cornerstone of cancer management, utilized in over half of all cancer treatments. Treatment precision is critical for ensuring the efficacy of radiation therapy. Current radiotherapy modalities-x-ray photon, proton, and electron therapies-each offer distinct advantages and challenges depending on tumor characteristics and treatment goals. Despite technological advancements in treatment planning and image guidance, challenges such as intra-fractional and inter-fractional tumor motion and the lack of in vivo dose verification persist. Radiacoustic imaging (RAI) has emerged as a promising solution for real-time in vivo dose verification and adaptive radiotherapy. By detecting acoustic waves generated during radiation dose deposition, RAI offers the potential to enhance treatment precision and outcomes. This review explores the development, performance, and clinical applications of RAI, particularly its utility across photon, proton, and electron therapies, as well as its potential in FLASH radiotherapy. We also discuss its future prospects, projecting its integration into clinical workflows and its role in transforming cancer treatment.
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Registered trials
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