ArticleScientific reports2023
Real-time automatic temperature regulation during in vivo MRI-guided laser-induced thermotherapy (MR-LITT).
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed.
- Patient-specific instantaneous spatial temperature maps for MR-guided laser interstitial thermal therapy using a physics-assisted deep learning framework.International journal of computer assisted radiology and surgery · 2026Article
- Verification and Validation of an Autotuning Proportional-Integral-Derivative Controller for Spatially Confined Magnetic Particle Hyperthermia.Journal of medical devices · 2026Article
- Automated laser retraction for targeted glioblastoma coverage during laser interstitial thermal therapy.Medical physics · 2026Article
- Modulating the glioma microenvironment with laser interstitial thermal therapy: mechanisms and therapeutic implications.Journal of neuro-oncology · 2025Review
- Semiconducting Polymer-Based Nanocomposite for Photothermal Elimination ofMicroorganisms · 2025Article
- Acoustic emissions dose and spatial control of blood-brain barrier opening with focused ultrasound.Device · 2025Article
- Evaluation of a deformable image registration algorithm for image-guided thermal ablation of liver tumors on clinically acquired MR-temperature maps.Medical physics · 2025Article
- Image-Based Monitoring of Thermal Ablation.Bioengineering (Basel, Switzerland) · 2025Review
- Accuracy of 3D real-time MRI temperature mapping in gel phantoms during microwave heating.European radiology experimental · 2024Article
- Ultrasound Image Temperature Monitoring Based on a Temporal-Informed Neural Network.Sensors (Basel, Switzerland) · 2024Article
- Review
- Enhanced Photodynamic Therapy Synergizing with Inhibition of Tumor Neutrophil Ferroptosis Boosts Anti-PD-1 Therapy of Gastric Cancer.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- The State-of-the-Art and Perspectives of Laser Ablation for Tumor Treatment.Cyborg and bionic systems (Washington, D.C.) · 2024Article
- Development of a Treatment Planning Framework for Laser Interstitial Thermal Therapy (LITT).Cancers · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Precise control of tissue temperature during Laser-Induced Thermotherapy (LITT) procedures has the potential to improve the clinical efficiency and safety of such minimally invasive therapies. We present a method to automatically regulate in vivo the temperature increase during LITT using real-time rapid volumetric Magnetic Resonance thermometry (8 slices acquired every second, with an in-plane resolution of 1.4 mmx1.4 mm and a slice thickness of 3 mm) using the proton-resonance frequency (PRF) shift technique. The laser output power is adjusted every second using a feedback control algorithm (proportional-integral-derivative controller) to force maximal tissue temperature in the targeted region to follow a predefined temperature-time profile. The root-mean-square of the difference between the target temperature and the measured temperature ranged between 0.5 °C and 1.4 °C, for temperature increases between + 5 °C to + 30 °C above body temperature and a long heating duration (up to 15 min), showing excellent accuracy and stability of the method. These results were obtained on a 1.5 T clinical MRI scanner, showing a potential immediate clinical application of such a temperature controller during MR-guided LITT.
Indexed as
Identifiers
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.