ArticleAnnals of biomedical engineering2009
Computational modeling and real-time control of patient-specific laser treatment of cancer.
Article in Annals of biomedical engineering, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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
19 citing papers in PubMed.
- Automated laser retraction for targeted glioblastoma coverage during laser interstitial thermal therapy.Medical physics · 2026Article
- First validation of a model-based hepatic percutaneous microwave ablation planning on a clinical dataset.Scientific reports · 2023Article
- Model-based hepatic percutaneous microwaveablation planning. First validation on a clinical dataset.Research square · 2023Article
- Thermal field and tissue damage analysis of moving laser in cancer thermal therapy.Lasers in medical science · 2021Article
- Computational Approaches in Theranostics: Mining and Predicting Cancer Data.Pharmaceutics · 2019Review
- Spatiotemporal modeling of laser tissue soldering using photothermal nanocomposites.Lasers in surgery and medicine · 2018Article
- Temperature feedback-controlled photothermal treatment with diffusing applicator: theoretical and experimental evaluations.Biomedical optics express · 2016Article
- Systematic feasibility analysis of a quantitative elasticity estimation for breast anatomy using supine/prone patient postures.Medical physics · 2016Article
- Generalised polynomial chaos-based uncertainty quantification for planning MRgLITT procedures.International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group · 2013Article
- An inverse problem approach to recovery of in vivo nanoparticle concentrations from thermal image monitoring of MR-guided laser induced thermal therapy.Annals of biomedical engineering · 2013Article
- Challenges to effective cancer nanotheranostics.Journal of controlled release : official journal of the Controlled Release Society · 2012Review
- Focal laser ablation of prostate cancer: definition, needs, and future.Advances in urology · 2012Article
- Automated subject-specific, hexahedral mesh generation via image registration.Finite elements in analysis and design : the international journal of applied finite elements and computer aided engineering · 2011Article
- Model-based planning and real-time predictive control for laser-induced thermal therapy.International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group · 2011Review
- Spatiotemporal temperature distribution and cancer cell death in response to extracellular hyperthermia induced by gold nanorods.ACS nano · 2010Article
- Adaptive real-time bioheat transfer models for computer-driven MR-guided laser induced thermal therapy.IEEE transactions on bio-medical engineering · 2010Article
- Effective learning strategies for real-time image-guided adaptive control of multiple-source hyperthermia applicators.Medical physics · 2010Article
- Theoretical modeling for hepatic microwave ablation.The open biomedical engineering journal · 2010Article
- Current progress in patient-specific modeling.Briefings in bioinformatics · 2010Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
An adaptive feedback control system is presented which employs a computational model of bioheat transfer in living tissue to guide, in real-time, laser treatments of prostate cancer monitored by magnetic resonance thermal imaging. The system is built on what can be referred to as cyberinfrastructure-a complex structure of high-speed network, large-scale parallel computing devices, laser optics, imaging, visualizations, inverse-analysis algorithms, mesh generation, and control systems that guide laser therapy to optimally control the ablation of cancerous tissue. The computational system has been successfully tested on in vivo, canine prostate. Over the course of an 18 min laser-induced thermal therapy performed at M.D. Anderson Cancer Center (MDACC) in Houston, Texas, the computational models were calibrated to intra-operative real-time thermal imaging treatment data and the calibrated models controlled the bioheat transfer to within 5 degrees C of the predetermined treatment plan. The computational arena is in Austin, Texas and managed at the Institute for Computational Engineering and Sciences (ICES). The system is designed to control the bioheat transfer remotely while simultaneously providing real-time remote visualization of the on-going treatment. Post-operative histology of the canine prostate reveal that the damage region was within the targeted 1.2 cm diameter treatment objective.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.