silicon and Head-and-Neck-Neoplasms

silicon has been researched along with Head-and-Neck-Neoplasms* in 5 studies

Other Studies

5 other study(ies) available for silicon and Head-and-Neck-Neoplasms

ArticleYear
Adoption of a Newly Introduced Dermal Matrix: Preliminary Experience and Future Directions.
    BioMed research international, 2020, Volume: 2020

    Acellular dermal matrix (ADM) products are adopted in the management of injuries to soft tissues. ADMs have been increasingly employed for their clinical advantages, and they are acquiring relevance in the future of plastic surgery. The aim of our study is to evaluate the application of ADMs in our patients who could not undergo fast reconstruction.. We performed a retrospective study on 12 patients who underwent ADM placement for scalp and limb surgical reconstructions at the Humanitas Research Hospital, Rozzano (Milano), Italy. Wounds resulted from 9 tumor resections and 3 chronic ulcers. The ADM substrate used to treat these lesions was PELNAC™ (Gunze, Japan), a double-layered matrix composed of atelocollagen porcine tendon and silicon reinforcement. All patients underwent a second surgical operation to complete the treatment with a full-thickness skin graft to cover the lesion.. In this study, 12 patients were treated with PELNAC™: 11 out of 12 patients showed a good attachment over a median time of 21.3 days (range 14-27). After almost 23 days, all patients were ready to undergo a full-thickness skin grafting.. This study assesses the benefits of PELNAC™ and proposes this method as an alternative to traditional approaches, especially in situations where the latter techniques cannot be applied.

    Topics: Acellular Dermis; Adult; Aged; Aged, 80 and over; Animals; Collagen; Female; Head and Neck Neoplasms; Humans; Male; Middle Aged; Plastic Surgery Procedures; Retrospective Studies; Scalp; Silicon; Skin; Skin Transplantation; Skin Ulcer; Skin, Artificial; Swine; Tendons; Wound Healing

2020
Monte Carlo-based adaptive EPID dose kernel accounting for different field size responses of imagers.
    Medical physics, 2009, Volume: 36, Issue:8

    The aim of this study is to present an efficient method to generate imager-specific Monte Carlo (MC)-based dose kernels for amorphous silicon-based electronic portal image device dose prediction and determine the effective backscattering thicknesses for such imagers. EPID field size-dependent responses were measured for five matched Varian accelerators from three institutions with 6 MV beams at the source to detector distance (SDD) of 105 cm. For two imagers, measurements were made with and without the imager mounted on the robotic supporting arm. Monoenergetic energy deposition kernels with 0-2.5 cm of water backscattering thicknesses were simultaneously computed by MC to a high precision. For each imager, the backscattering thickness required to match measured field size responses was determined. The monoenergetic kernel method was validated by comparing measured and predicted field size responses at 150 cm SDD, 10 x 10 cm2 multileaf collimator (MLC) sliding window fields created with 5, 10, 20, and 50 mm gaps, and a head-and-neck (H&N) intensity modulated radiation therapy (IMRT) patient field. Field size responses for the five different imagers deviated by up to 1.3%. When imagers were removed from the robotic arms, response deviations were reduced to 0.2%. All imager field size responses were captured by using between 1.0 and 1.6 cm backscatter. The predicted field size responses by the imager-specific kernels matched measurements for all involved imagers with the maximal deviation of 0.34%. The maximal deviation between the predicted and measured field size responses at 150 cm SDD is 0.39%. The maximal deviation between the predicted and measured MLC sliding window fields is 0.39%. For the patient field, gamma analysis yielded that 99.0% of the pixels have gamma < 1 by the 2%, 2 mm criteria with a 3% dose threshold. Tunable imager-specific kernels can be generated rapidly and accurately in a single MC simulation. The resultant kernels are imager position independent and are able to predict fields with varied incident energy spectra and a H&N IMRT patient field. The proposed adaptive EPID dose kernel method provides the necessary infrastructure to build reliable and accurate portal dosimetry systems.

    Topics: Algorithms; Electrical Equipment and Supplies; Head and Neck Neoplasms; Humans; Monte Carlo Method; Radiation Dosage; Radiometry; Scattering, Radiation; Silicon

2009
Amorphous silicon EPID calibration for dosimetric applications: comparison of a method based on Monte Carlo prediction of response with existing techniques.
    Physics in medicine and biology, 2007, Jun-21, Volume: 52, Issue:12

    For EPID dosimetry, the calibration should ensure that all pixels have a similar response to a given irradiation. A calibration method (MC), using an analytical fit of a Monte Carlo simulated flood field EPID image to correct for the flood field image pixel intensity shape, was proposed. It was compared with the standard flood field calibration (FF), with the use of a water slab placed in the beam to flatten the flood field (WS) and with a multiple field calibration where the EPID was irradiated with a fixed 10x10 field for 16 different positions (MF). The EPID was used in its normal configuration (clinical setup) and with an additional 3 mm copper slab (modified setup). Beam asymmetry measured with a diode array was taken into account in MC and WS methods. For both setups, the MC method provided pixel sensitivity values within 3% of those obtained with the MF and WS methods (mean difference<1%, standard deviation<2%). The difference of pixel sensitivity between MC and FF methods was up to 12.2% (clinical setup) and 11.8% (modified setup). MC calibration provided images of open fields (5x5 to 20x20 cm2) and IMRT fields to within 3% of that obtained with WS and MF calibrations while differences with images calibrated with the FF method for fields larger than 10x10 cm2 were up to 8%. MC, WS and MF methods all provided a major improvement on the FF method. Advantages and drawbacks of each method were reviewed.

    Topics: Calibration; Head and Neck Neoplasms; Humans; Male; Monte Carlo Method; Prostatic Neoplasms; Radiotherapy Planning, Computer-Assisted; Silicon

2007
[The advantage of our original straight cannula for tracheostoma].
    Nihon Jibiinkoka Gakkai kaiho, 2005, Volume: 108, Issue:12

    Patients with head and neck cancers often require use of a tracheal cannula due to stenosis of the permanent tracheostoma following total laryngectomy. However, a cannula that is designed for a multi-purpose tracheotomy frequently presents a problem, when placed in a permanent tracheostoma. To resolve this difficulty, we developed a straight cannula that fits most permanent tracheostomas. We achieved a straight design by removing the curvature of a cuffed tracheostomy single cannula (size 12: Koken Co., Ltd.). To facilitate installation by the patient without assistance, silicone was used because it is softer than similar conventional products. By making the cannula diameter slightly larger, immobilization with a strap is lomger needed. Our cannula was used in 14 patients following surgery for the laryngeal, hypopharyngel, esophageal carcinomas. The cannula fit well and reduced the respiratory discomfort in all patients.

    Topics: Aged; Aged, 80 and over; Brachiocephalic Trunk; Bronchial Fistula; Catheterization; Equipment Design; Female; Head and Neck Neoplasms; Humans; Male; Middle Aged; Silicon; Trachea; Tracheostomy

2005
Monte Carlo computation of dosimetric amorphous silicon electronic portal images.
    Medical physics, 2004, Volume: 31, Issue:7

    This study develops and tests a method to compute dosimetric images for an amorphous silicon (a-Si) flat-panel detector so that an accurate quantitative comparison between measured and computed portal images may be made. An EGS4-based Monte Carlo (MC) algorithm is developed to efficiently tally the energy deposition through the use of a virtual detector dose-scoring methodology. The complete geometry of the a-Si imager is utilized in the MC calculation up to the imager rear housing, which is replaced with a uniform thickness material slab. The detector-mounting hardware is modeled as a uniform backscattering material. The amount of backscatter material required to reproduce the measured backscatter is 0.98 g/cm2 of water. A flood-field irradiation, performed in the measurement imaging session, is used to cross-calibrate the computed images with the measured images. Calibrated MC-computed images reproduce measured field-size dependencies of the electronic portal imaging device (EPID) response to within <1%, without the need for optical glare or other empirical corrections. A 10% dose difference between measured and computed images was observed outside the field edge for a 10 x 10 cm2 field that was entirely blocked by the multileaf collimator (MLC). However, this error corresponded with less than 0.15% of the open-field dose. For 10 x 10 cm2 fields produced by 5 and 20 mm dynamically sweeping MLC gaps, more than 98% of the points were found to have a gamma less than one with a 2%, 2 mm criteria. For an intensity modulated radiation therapy (IMRT) patient test field, over 99% of the points were found to have a gamma less than one with a 2%, 2 mm criteria. This study demonstrates that MC can be an effective tool for predicting measured a-Si portal images and may be useful for IMRT EPID-based dosimetry.

    Topics: Algorithms; Calibration; Equipment Failure Analysis; Head and Neck Neoplasms; Humans; Monte Carlo Method; Radiometry; Radiotherapy Dosage; Radiotherapy Planning, Computer-Assisted; Reproducibility of Results; Sensitivity and Specificity; Silicon

2004