Purpose: Clinical and technical parameter analysis of patients treated with ultrasound-based image-guided tomotherapeutic IMRT for gallbladder cancer.
Methods And Materials: Between 8/2001 and 5/2005, 10 patients with primary tumors of the gallbladder were treated by image-guided IMRT to median doses of 59 Gy. To analyze normal tissue radiation exposure reduction using this novel approach, a virtual plan comparison between actually delivered IMRT plans and re-computed plans with identical inverse planning parameters but more conventional PTV safety margins was conducted.
Results: Average CTV was 379 cm(3), with a mean initial PTV of 834 cm(3). In 9/10 patients, a boost was delivered to a mean CTV(boost) of 171 cm(3) and average PTV(boost) of 241 cm(3). One patient reported RTOG grade 3 acute toxicity. All other patients exhibited Grade 2 or lower acute toxicity. Preliminary median overall survival was 16.7 months (range 3.2-34.9 months), with 5/10 patients alive at analysis. Virtual plan comparison revealed significant organ-at-risk sparing by the enabled PTV margin reduction.
Conclusion: Ultrasound-based image-guided IMRT is a feasible mechanism of delivering conformal radiation doses to tumors of the gallbladder with acceptable toxicity. Early outcome data with this novel radiation planning and delivery technique are encouraging and comparable to previously reported literature.
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http://dx.doi.org/10.1016/j.radonc.2006.08.013 | DOI Listing |
Magnetic resonance acoustic radiation force imaging (MR-ARFI) is an exceptionally promising technique to non-invasively confirm targeting accuracy and estimate exposure of low-intensity transcranial focused ultrasound stimulation. MR-ARFI uses magnetic field motion encoding gradients to visualize the MR phase changes generated by microscopic displacements at the ultrasound focus. Implementing MR-ARFI in the human central nervous system has been hindered by 1) phase distortion caused by subject motion, and 2) insufficient signal-to-noise ratio at low (<1.
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November 2024
FCBarcelona Medical Department (FIFA Medical Center of Excellence), Barça Innovation Hub, Barcelona, Spain.
AJR Am J Roentgenol
May 2024
Department of Radiology, University of Wisconsin, Madison, Wisconsin, USA.
Peripheral nerve imaging provides information that can be critical to the diagnosis, staging, and management of peripheral neuropathies. MRI and ultrasound are the imaging modalities of choice for clinical evaluation of the peripheral nerves given their high soft tissue contrast and high resolution, respectively. This AJR Expert Panel Narrative Review describes MRI- and ultrasound-based techniques for peripheral nerve imaging; highlights considerations for imaging in the settings of trauma, entrapment syndromes, diffuse inflammatory neuropathies, and tumor; and discusses image-guided nerve interventions, focusing on nerve blocks and ablation.
View Article and Find Full Text PDFActa Biomater
October 2023
Department of Biomedical Engineering, The Hong Kong Polytechnic University, Room ST409 Hung Hom, Hong Kong SAR 999077, PR China. Electronic address:
The recent years has witnessed an exponential growth in the field of natural killer (NK) cell-based immunotherapy for cancer treatment. As a prerequisite to precise evaluations and on-demand interventions, the noninvasive tracking of adoptive NK cells plays a crucial role not only in post-treatment monitoring, but also in offering opportunities for preclinical studies on therapy optimizations. Here, we describe an NK cell tracking strategy for cancer immunotherapy based on ultrasound imaging modality.
View Article and Find Full Text PDFInt J Comput Assist Radiol Surg
July 2023
School of Computing, Queen's University, Kingston, Canada.
Purpose: A large body of previous machine learning methods for ultrasound-based prostate cancer detection classify small regions of interest (ROIs) of ultrasound signals that lie within a larger needle trace corresponding to a prostate tissue biopsy (called biopsy core). These ROI-scale models suffer from weak labeling as histopathology results available for biopsy cores only approximate the distribution of cancer in the ROIs. ROI-scale models do not take advantage of contextual information that are normally considered by pathologists, i.
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