Visualization Of Soft Tissues Research Articles

Edge-illumination spectral phase-contrast tomography

Following the rapid, but independent, diffusion of x-ray spectral and phase-contrast systems, this work demonstrates the first combination of spectral and phase-contrast computed tomography (CT) obtained by using the edge-illumination technique and a CdTe small-pixel (62 μm) spectral detector. A theoretical model is introduced, starting from a standard attenuation-based spectral decomposition and leading to spectral phase-contrast material decomposition. Each step of the model is followed by quantification of accuracy and sensitivity on experimental data of a test phantom containing different solutions with known concentrations. An example of a micro CT application (20 μm voxel size) on an iodine-perfused ex vivo murine model is reported. The work demonstrates that spectral-phase contrast combines the advantages of spectral imaging, i.e. high-Z material discrimination capability, and phase-contrast imaging, i.e. soft tissue sensitivity, yielding simultaneously mass density maps of water, calcium, and iodine with an accuracy of 1.1%, 3.5%, and 1.9% (root mean square errors), respectively. Results also show a 9-fold increase in the signal-to-noise ratio of the water channel when compared to standard spectral decomposition. The application to the murine model revealed the potential of the technique in the simultaneous 3D visualization of soft tissue, bone, and vasculature. While being implemented by using a broad spectrum (pink beam) at a synchrotron radiation facility (Elettra, Trieste, Italy), the proposed experimental setup can be readily translated to compact laboratory systems including conventional x-ray tubes.

Dental Soft Tissues and Palatal Masticatory Mucosa from the Periodontal and Radiographic Perspectives: A Review Article

This review article delves into the advancements in the assessment and management of palatal masticatory mucosa, with a particular emphasis on the thickness of the palatal mucosa and its implications for periodontal and peri-implant surgeries. It highlights the pivotal role of cone beam computed tomography (CBCT) in evaluating Thickening of the palatal mucosa, despite its inherent limitations in soft tissue visualization. The paper discusses the evolution of mucogingival surgery, including the classification of marginal tissue recession and soft tissue grafts, and examines the histology of palatal mucosa. It also evaluates the indications, predictability, and clinical as well as aesthetic outcomes of free gingival graft (FGG) & connective tissue graft (CTG) procedures. Various methodologies to measure palatal mucosa thickness are explored, alongside strategies to overcome CBCT's limitations in soft tissue assessment. The review underscores the significance of a comprehensive understanding of palatal masticatory mucosa's anatomy and histology, alongside the surgical techniques available for managing mucogingival deficiencies. It aims to enhance the predictability and aesthetics of periodontal and peri-implant surgeries through advancements in diagnostic and surgical techniques, coupled with a deeper understanding of tissue biology.

Technical note: TIGRE-DE for the creation of virtual monoenergetic images from dual-energy cone-beam CT.

Dual-energy (DE)-CBCT represents a promising imaging modality that can produce virtual monoenergetic (VM) CBCT images. VM images, which provide enhanced contrast and reduced imaging artifacts, can be used to assist in soft-tissue visualization during image-guided radiotherapy. This work reports the development of TIGRE-DE, a module in the open-source TIGRE toolkit for the performance of DE-CBCT and the production of VM CBCT images. This module is created to make DE-CBCT tools accessible in a wider range of clinical and research settings. We developed an add-on (TIGRE-DE) to the TIGRE toolkit that performs DE material decomposition. To verify its performance, sequential CBCT scans at 80 and 140kV of a Catphan 604 phantom were decomposed into equivalent thicknesses of aluminum (Al) and polymethyl-methylacrylate (PMMA) basis materials. These basis material projections were used to synthesize VM projections for a range of x-ray energies, which were then reconstructed using the Feldkamp-Davis-Kress (FDK) algorithm. Image quality was assessed by computing Hounsfield units (HU) and contrast-to-noise ratios (CNR) for the material inserts of the phantom and comparing with the constituent 80 and 140kV images. All VM images generated using TIGRE-DE showed good general agreement with the theoretical HU values of the material inserts of the phantom. Apart from the highest-density inserts imaged at the extremes of the energy range, the measured HU values agree with theoretical HUs within the clinical tolerance of±50 HU. CNR measurements for the various inserts showed that, of the energies selected, 60keV provided the highest CNR values. Moreover, 60keV VM images showed average CNR enhancements of 63% and 66% compared to the 80 and 140kV full-fan protocols. TIGRE-DE successfully implements DE-CBCT material decomposition and VM image creation in an accessible, open-source platform.

Computed Tomography Evaluation of Frozen or Glycerinated Bradypus variegatus Cadavers: A Comprehensive View with Emphasis on Anatomical Aspects

Bradypus variegatus has unique anatomical characteristics, and many of its vascular and digestive tract aspects have yet to be clearly understood. This lack of information makes clinical diagnoses and surgical procedures difficult. The aim of this study was to evaluate the anatomical aspects of frozen and glycerinated corpses of B. variegatus using computed tomography (CT), emphasizing vascular and digestive contrast studies. Nine corpses that died during routine hospital were examined via CT in the supine position with scanning in the craniocaudal direction. In frozen cadavers, the contrast was injected into a cephalic vein after thawing and, subsequently, was administered orally. In addition to bone structures, CT allowed the identification of organs, soft tissues, and vascular structures in specimens. Visualization of soft tissues was better after contrast been administered intravenously and orally, even without active vascularization. Furthermore, the surfaces of the organs were highlighted by the glycerination method. With this technique, it was possible to describe part of the vascularization of the brachial, cervical, thoracic, and abdominal regions, in addition to highlighting the esophagus and part of the stomach. CT can be another tool for the evaluation of B. variegatus cadavers by anatomists or pathologists, contributing to the identification of anatomical structures.

The Utilization of Diagnostic Musculoskeletal Ultrasound in the Evaluation of Gluteus Medius Tendon Pathology: A Perspective for Rehabilitation Providers.

Gluteus medius tendon pathology, encompassing tendinopathy and tears, is a significant source of lateral hip pain and functional impairment. Traditional diagnostic approaches have relied on clinical examination and magnetic resonance imaging (MRI). However, the advent of diagnostic musculoskeletal ultrasound (MSKUS) has transformed the evaluation process. Musculoskeletal ultrasound has emerged as a highly valuable diagnostic tool in the evaluation of gluteus medius tendon pathology, offering a non-invasive, cost-effective, and dynamic assessment method. This modality provides real-time visualization of soft tissue, enabling the detailed examination of tendon structure, vascularity, and associated musculature. For rehabilitation providers, understanding the application, strengths, and limitations of diagnostic MSKUS can enhance clinical decision-making, facilitate targeted therapeutic interventions, and potentially expedite the recovery process. This article reviews the application of MSKUS in diagnosing gluteus medius tendon pathology and its implications for rehabilitation practice. This should help to equip rehabilitation professionals with knowledge to better integrate this diagnostic tool into their clinical repertoire.

Deep learning enables time-efficient soft tissue enhancement in CBCT: Proof-of-concept study for dentomaxillofacial applications

PurposeThe use of iterative and deep learning reconstruction methods, which would allow effective noise reduction, is limited in cone-beam computed tomography (CBCT). As a consequence, the visibility of soft tissues is limited with CBCT. The study aimed to improve this issue through time-efficient deep learning enhancement (DLE) methods. MethodsTwo DLE networks, UNIT and U-Net, were trained with simulated CBCT data. The performance of the networks was tested with three different test data sets. The quantitative evaluation measured the structural similarity index measure (SSIM) and the peak signal-to-noise ratio (PSNR) of the DLE reconstructions with respect to the ground truth iterative reconstruction method. In the second assessment, a dentomaxillofacial radiologist assessed the resolution of hard tissue structures, visibility of soft tissues, and overall image quality of real patient data using the Likert scale. Finally, the technical image quality was determined using modulation transfer function, noise power spectrum, and noise magnitude analyses. ResultsThe study demonstrated that deep learning CBCT denoising is feasible and time efficient. The DLE methods, trained with simulated CBCT data, generalized well, and DLE provided quantitatively (SSIM/PSNR) and visually similar noise-reduction as conventional IR, but with faster processing time. The DLE methods improved soft tissue visibility compared to the conventional Feldkamp-Davis-Kress (FDK) algorithm through noise reduction. However, in hard tissue quantification tasks, the radiologist preferred the FDK over the DLE methods. ConclusionPost-reconstruction DLE allowed feasible reconstruction times while yielding improvements in soft tissue visibility in each dataset.

FactFinders for patient safety: Preventing local anesthetic-related complications: Local anesthetic chondrotoxicity and stellate ganglion blocks

This series of FactFinders presents a brief summary of the evidence and outlines recommendations to improve our understanding and management of several potential local anesthetic-related complications.Evidence in support of the following facts is presented. (1) Chondrotoxicity: Which Local Anesthetics are Safest for Intraarticular Injection? -- There are drug-, concentration-, and time-dependent chondrotoxic effects that vary between local anesthetics. Current evidence related to commonly used local anesthetics indicates that with exposure to equivalent volumes, bupivacaine, at concentrations of 0.5 % or higher, is the most chondrotoxic agent, while ropivacaine, at concentrations equal to or less than 0.5 %, is the least chondrotoxic in vitro. There is minimal published evidence that confirms these findings in vivo. (2) Minimizing Risks with Stellate Ganglion Blocks -- Evidence suggests that fluoroscopic or ultrasound guidance reduces the risk and increases the accuracy of SGB. Utilizing ultrasound guidance has the added benefit of soft tissue visualization, especially vascular structures, which has the potential to prevent adverse outcomes when compared to the fluoroscopic technique.

The role of advanced metal artifact reduction MRI in the diagnosis of periprosthetic joint infection.

Identification and diagnosis of periprosthetic joint infection (PJI) are challenging, requiring a multi-disciplinary approach involving clinical evaluation, laboratory tests, and imaging studies. MRI is advantageous to alternative imaging techniques due to superior soft tissue contrast and absence of ionizing radiation. However, the presence of metallic implants can cause signal loss and artifacts. Metal artifact suppression (MARS) MRI techniques have been developed that mitigate metal artifacts and improve periprosthetic soft tissue visualization. This paper provides a review of the various MARS MRI techniques, their clinical applicability and accuracy in PJI diagnosis and evaluation, and current challenges and future perspectives.

Visibility of Prevertebral Soft Tissues in the Neck Using Ultrasonography: A Feasibility Study.

To aid emergent diagnosis of postoperative retropharyngeal hematoma in anterior cervical spine surgery patients, this study investigates ultrasonography's potential role by evaluating the visibility of retropharyngeal and prevertebral soft tissues in the neck using ultrasound and potential correlations with body habitus. The visibility of the anterior vertebral bodies and the prevertebral soft tissues in both sides of the neck was recorded and analyzed with 95% CI using the Wilson method. Body mass index, neck circumference, and neck length were measured. A point-biserial correlation was performed to compare body habitus with visibility of vertebrae and prevertebral tissues. Longus colli muscle and C3 to C6 were successfully visualized in all 10 (100%) cases on both sides. C2 was only visible in 6 (60%) on both sides. C7 was visible in 9 (90%) on the right and 7 (70%) on the left. The esophagus was visible in 7 (70%) on the right and 10 (100%) on the left. There was a significant negative correlation with neck circumference and C2 visibility on the right side, r(8) = -0.76, P = 0.011. Ultrasonography was successful in visualizing prevertebral tissues, with a trend of obstructed visibility with wider and longer necks. Ultrasonography has potential to aid early detection of postoperative retropharyngeal hematoma after cervical spine surgery.

Comprehensive Beam Modeling, Secondary Dose Computations and Treatment Planning for a 1.5 T MRgRT System

Magnetic resonance imaging guided radiotherapy (MRgRT) combines soft tissue visualization with online adaptive radiotherapy. The MRgRT workflow is characterized by many steps which needs to be performed swiftly and therefore greatly benefits from automation. The purpose of this study was to model a MRgRT system for dose computation and intensity modulated radiotherapy (IMRT) planning within a 1.5 T magnetic field in an independent treatment planning system (iTPS) with automation functionalities. A beam model for a 1.5 T MRgRT system was commissioned in an iTPS using beam profiles and output factor measurements. The cryostat of the MRgRT system was modeled using a cylindrical multi-layer combination of epoxy and aluminum and matched to source-to-surface dependent cryostat scatter measurement in air, and corrected for angular dependent cryostat transmission readings. The beam model was used with a fast Monte Carlo dose engine to account for the electron return and electron streaming effects within an external magnetic field. The multi-leaf collimator (MLC) was characterized with a novel synchronous and asynchronous sweeping gap (aSG) test. The aSGs have a shift (between 0 - 40 mm) between adjacent leaves which remains constant over the sweep. Measured doses map the shadowing due to the tongue-and-groove (TG) exposure and TG and leaf tip (LT) parameters are derived to match this within the iTPS. Clinical IMRT plans of 10 prostate, 5 lymph node and 5 rectal plans created in the default clinical TPS were recomputed in the iTPS and evaluated with the corresponding plan-specific quality assurance measurements. In addition, three IMRT plans were optimized within the iTPS, delivered with the MRgRT system and evaluated using PSQA using a 3%/3mm gamma criterium with a 10% threshold. Monte Carlo dose computation in the iTPS closely resembled the measured profiles in the presence of the 1.5 T magnetic field. The cryostat scatter simulations were <0.7% compared to the measurements and literature. The aSG/SGs test demonstrated that the TG width gradually increased up to 1 mm for a distance of 15 mm away from the leaf tip end. These effects were closely replicated in the iTPS with a difference of <1.5% for 95% of the aSGs. The difference between the clinical dose and the dose calculation in the iTPS was, on average, <0.5% within the volume receiving 50% of the maximum dose. The gamma pass rate was 100% for 98% of the PSQA results. The plans optimized within the iTPS were successfully delivered at the MRgRT system. We successfully modeled and commissioned a 1.5 T MRgRT system in an independent TPS. The beam model can be used for a second opinion dose computation in a magnetic field and for direct treatment planning. Next, the beam model will be incorporated in a semi-automated and adaptive workflow using the iTPS.

Fixed-Field IMRT for Cervix Carcinoma Patients on an MR-LINAC Platform: Dosimetric Feasibility and Challenges

To investigate the impact of MR-LINAC performance characteristics and inverse planning implementation on the feasibility of fixed-field IMRT for cervix carcinoma patients by benchmarking MR-LINAC plans against clinically used VMAT plans in a single institution study and multi-institutional treatment planning challenge. For 10 cervix cancer patients who had previously received Linac-based VMAT, new treatment plans were optimized for MR-LINAC IMRT using 6X FFF fixed fields with maximum available field size of 27.4 x 24.1 cm2. Dose optimization was performed on the clinically used planning CT and structure set. Prescribed dose was 48.6 Gy in 27 fractions for all patients with 6 patients receiving an additional integrated boost for a total of 58.05 Gy to involved nodes. Constraints were based on our institutional protocol as per Table 1. IMRT delivery time was limited to 20 min. Original clinically used VMAT plans were generated on Eclipse (Varian Medical System) using 3 to 4 arcs. For the multi-institutional planning challenge, the data set from a single patient was anonymized and shared to participants. Participants used a single MR-based Linac planning platform to generate a plan based on our institutional constraints, with maximum treatment time limited to 20 min. For all analyses, a paired samples t-test was used to compare the significance defined at p < 0.05. For MR-LINAC plans, the mean number of fields used was 23, mean number of segments 229, and the average estimated treatment delivery time was 17.3 minutes. MR-LINAC plans showed a significantly higher heterogeneity and dose to organs at risk compared to VMAT plans (Table 1). For the planning challenge, a total of 30 participants registered interest. Of this, seven plans were submitted to the challenge. On average, participants generated a plan that would be acceptable based on our institutional constraints (Table 1). However, the volumetric dose to bowel and pelvic bones were higher on MR-LINAC plans compared to the reference VMAT plan. MR-LINAC fixed-field IMRT for cervix cancer patients is feasible but system constraints and optimization implementation result in greater dose heterogeneity and worse organ-at-risk sparing compared to Linac based VMAT. Further research is needed to determine if potential reduction of treatment margins, allowed by better MRI soft-tissue visualization, will result in MR-LINAC IMRT superior to Linac VMAT.

Automatic image-based tracking of gadolinium-filled balloon wedge catheters for MRI-guided cardiac catheterization using deep learning.

Magnetic Resonance Imaging (MRI) is a promising alternative to standard x-ray fluoroscopy for the guidance of cardiac catheterization procedures as it enables soft tissue visualization, avoids ionizing radiation and provides improved hemodynamic data. MRI-guided cardiac catheterization procedures currently require frequent manual tracking of the imaging plane during navigation to follow the tip of a gadolinium-filled balloon wedge catheter, which unnecessarily prolongs and complicates the procedures. Therefore, real-time automatic image-based detection of the catheter balloon has the potential to improve catheter visualization and navigation through automatic slice tracking. In this study, an automatic, parameter-free, deep-learning-based post-processing pipeline was developed for real-time detection of the catheter balloon. A U-Net architecture with a ResNet-34 encoder was trained on semi-artificial images for the segmentation of the catheter balloon. Post-processing steps were implemented to guarantee a unique estimate of the catheter tip coordinates. This approach was evaluated retrospectively in 7 patients (6M and 1F, age = 7 ± 5 year) who underwent an MRI-guided right heart catheterization procedure with all images acquired in an orientation unseen during training. The overall accuracy, specificity and sensitivity of the proposed catheter tracking strategy over all 7 patients were 98.4 ± 2.0%, 99.9 ± 0.2% and 95.4 ± 5.5%, respectively. The computation time of the deep-learning-based segmentation step was ∼10 ms/image, indicating its compatibility with real-time constraints. Deep-learning-based catheter balloon tracking is feasible, accurate, parameter-free, and compatible with real-time conditions. Online integration of the technique and its evaluation in a larger patient cohort are now warranted to determine its benefit during MRI-guided cardiac catheterization.

Monte Carlo model of a prototype flat-panel detector for multi-energy applications in radiotherapy.

The incorporation of multi-energy capabilities into radiotherapy flat-panel detectors offers advantages including enhanced soft tissue visualization by reduction of signal from overlapping anatomy such as bone in 2D image projections; creation of virtual monoenergetic images for 3D contrast enhancement, metal artefact reduction and direct acquisition of relative electron density. A novel dual-layer on-board imager offering dual energy processing capabilities is being designed. As opposed to other dual-energy implementation techniques which require separate acquisition with two different x-ray spectra, the dual-layer detector design enables simultaneous acquisition of high and low energy images with a single exposure. A computational framework is required to optimize the design parameters and evaluate detector performance for specific clinical applications. In this study, we report on the development of a Monte Carlo (MC) model of the imager including model validation. The stack-up of the dual-layer imager (DLI) was implemented in GEANT4 Application for Tomographic Emission (GATE). The DLI model has an active area of 43×43 cm2 , with top and bottom Cesium Iodide (CsI) scintillators of 600 and 800μm thickness, respectively. Measurement of spatial resolution and imaging of dedicated multi-material dual-energy (DE) phantoms were used to validate the model. The modulation transfer function (MTF) of the detector was calculated for a 120 kVp x-ray spectrum using a 0.5mm thick tantalum edge rotated by 2.5o . For imaging validation, the DE phantom was imaged using a 140 kVp x-ray spectrum. For both validation simulations, corresponding measurements were done using an initial prototype of the imager. Agreement between simulations and measurement was assessed using normalized root mean square error (NRMSE) and 1D profile difference for the MTF and phantom images respectively. Further comparison between measurement and simulation was made using virtual monoenergetic images (VMIs) generated from basis material images derived using precomputed look-up tables. The MTF of the bottom layer of the dual-layer model shows values decreasing more quickly with spatial frequency, compared to the top layer, due to the thicker bottom scintillator thickness and scatter from the top layer. A comparison with measurement shows NRMSE of 0.013 and 0.015 as well as identical MTF50 of 0.8 mm1 and 1.0 mm1 for the top and bottom layer respectively. For the DE imaging of the DE-phantom, although a maximum deviation of 3.3% is observed for the 10mm aluminum and Teflon inserts at the top layer, the agreement for all other inserts is less than 2.2% of the measured value at both layers. Material decomposition of simulated scatter-free DE images gives an average accuracy in PMMA and aluminum composition of 4.9% and 10.3% for 11-30mm PMMA and 1-10mm aluminum objects respectively. A comparison of decomposed values using scatter containing measured and simulated DE images shows good agreement within statistical uncertainty. Validation using both MTF and phantom imaging shows good agreement between simulation and measurements. With the present configuration of the digital prototype, the model can generate material decomposed images and virtual monoenergetic images.

Role of Ultrasound in Diagnosis of Thoracic Outlet Syndrome: A Review Article

Neurogenic thoracic outlet syndrome (nTOS), characterized by brachial plexus compression within the thoracic outlet, poses diagnostic challenges due to its variable symptoms and lack of standardized criteria. Ultrasound has emerged as a valuable diagnostic tool, offering dynamic imaging, high-resolution visualization of soft tissues, and differentiation between neurogenic and vascular forms. We reviewed the literature regarding ultrasound's role in nTOS diagnosis. Ultrasound's dynamic assessment aids in understanding nerve and vessel compression during arm movements, providing insights beyond static imaging. High-resolution imaging detects structural anomalies contributing to nTOS and reveals direct and indirect signs, such as brachial plexus or vessel compression. Varied findings exist regarding ultrasound sensitivity and specificity. Despite potential benefits, controversy remains, highlighting the need for further research to establish standardized protocols, refine techniques, and explore integrated diagnostic approaches for nTOS.

Twenty-five years of research in cardiac imaging in electrophysiology procedures for atrial and ventricular arrhythmias.

Catheter ablation is nowadays considered the treatment of choice for numerous cardiac arrhythmias in different clinical scenarios. Fluoroscopy has traditionally been the primary imaging modality for catheter ablation, providing real-time visualization of catheter navigation. However, its limitations, such as inadequate soft tissue visualization and exposure to ionizing radiation, have prompted the integration of alternative imaging modalities. Over the years, advancements in imaging techniques have played a pivotal role in enhancing the safety, efficacy, and efficiency of catheter ablation procedures. This manuscript aims to explore the utility of imaging, including electroanatomical mapping, cardiac computed tomography, echocardiography, cardiac magnetic resonance, and nuclear cardiology exams, in helping electrophysiology procedures. These techniques enable accurate anatomical guidance, identification of critical structures and substrates, and real-time monitoring of complications, ultimately enhancing procedural safety and success rates. Incorporating advanced imaging technologies into routine clinical practice has the potential to further improve clinical outcomes of catheter ablation procedures and pave the way for more personalized and precise ablation therapies in the future.

Using x-ray micro computed tomography to quantify intracochlear fibrosis after cochlear implantation in a Guinea pig model

Cochlear implants (CIs) allow individuals with profound hearing loss to understand speech and perceive sounds. However, not all patients obtain the full benefits that CIs can provide and the cause of this disparity is not fully understood. One possible factor for the variability in outcomes after cochlear implantation, is the development of fibrotic scar tissue around the implanted electrode. It has been hypothesised that limiting the extent of fibrosis after implantation may improve overall CI function, and longevity of the device. Currently, histology is often used to quantify the extent of intracochlear tissue growth after implantation however this method is labour intensive, time-consuming, often involves significant user bias, and causes physical distortion of the fibrosis. Therefore, this study aimed to evaluate x-ray micro computed tomography (μCT) as a method to measure the amount and distribution of fibrosis in a guinea pig model of cochlear implantation. Adult guinea pigs were implanted with an inactive electrode, and cochleae harvested eight weeks later (n = 7) and analysed using μCT, to quantify the extent of tissue reaction, followed by histological analysis to confirm that the tissue was indeed fibrotic. Cochleae harvested from an additional six animals following implantation were analysed by μCT, before and after contrast staining with osmium tetroxide (OsO4), to enhance the visualisation of soft tissues within the cochlea, including the tissue reaction. Independent analysis by two observers showed that the quantification method was robust and provided additional information on the distribution of the response within the cochlea. Histological analysis revealed that μCT visualised dense collagenous material and new bone formation but did not capture loose, areolar fibrotic tissue. Treatment with OsO4 significantly enhanced the visible tissue reaction detected using μCT. Overall, μCT is an alternative and reliable method that can be used to quantify the extent of the CI-induced intracochlear tissue response and will be a useful tool for the in vivo assessment of novel anti-fibrotic treatments.

ID: 212907 Techniques and Considerations for Ultrasound Guided Placement of an Injectable Peripheral Nerve Stimulator

Ultrasound technology advancements over the past few decades have enabled its usage in medical applications beyond diagnostic imaging. Conventional imaging modalities (i.e., fluoroscopy) are limited, as they do not allow for soft tissue visualization and expose patients to ionizing radiation. Ultrasound-guided injection has become a standard practice, allowing clinicians to view soft tissue structures and peripheral non-axial neural targets without use of ionizing radiation. Visualization of soft tissue structures using ultrasound also allows closer proximity targeting when placing simulators for a range of peripheral anatomical structures, as neural anatomy can vary between patients. Here we present methods for ultrasound-guided placement of an injectable peripheral nerve stimulator.

Clinical validation of MR imaging time reduction for substitute/synthetic CT generation for prostate MRI-only treatment planning.

Radiotherapy treatment planning based only on magnetic resonance imaging (MRI) has become clinically achievable. Though computed tomography (CT) is the gold standard for radiotherapy imaging, directly providing the electron density values needed for planning calculations, MRI has superior soft tissue visualisation to guide treatment planning decisions and optimisation. MRI-only planning removes the need for the CT scan, but requires generation of a substitute/synthetic/pseudo CT (sCT) for electron density information. Shortening the MRI imaging time would improve patient comfort and reduce the likelihood of motion artefacts. A volunteer study was previously carried out to investigate and optimise faster MRI sequences for a hybrid atlas-voxel conversion to sCT for prostate treatment planning. The aim of this follow-on study was to clinically validate the performance of the new optimised sequence for sCT generation in a treated MRI-only prostate patient cohort. 10 patients undergoing MRI-only treatment were scanned on a Siemens Skyra 3T MRI as part of the MRI-only sub-study of the NINJA clinical trial (ACTRN12618001806257). Two sequences were used, the standard 3D T2-weighted SPACE sequence used for sCT conversion which has been previously validated against CT, and a modified fast SPACE sequence, selected based on the volunteer study. Both were used to generate sCT scans. These were then compared to evaluate the fast sequence conversion for anatomical and dosimetric accuracy against the clinically approved treatment plans. The average Mean Absolute Error (MAE) for the body was 14.98 ± 2.35 HU, and for bone was 40.77 ± 5.51 HU. The external volume contour comparison produced a Dice Similarity Coefficient (DSC) of at least 0.976, and an average of 0.985 ± 0.004, and the bony anatomy contour comparison a DSC of at least 0.907, and an average of 0.950 ± 0.018. The fast SPACE sCT agreed with the gold standard sCT within an isocentre dose of -0.28% ± 0.16% and an average gamma pass rate of 99.66% ± 0.41% for a 1%/1 mm gamma tolerance. In this clinical validation study, the fast sequence, which reduced the required imaging time by approximately a factor of 4, produced an sCT with similar clinical dosimetric results compared to the standard sCT, demonstrating its potential for clinical use for treatment planning.

Hybrid Exoscopic and Robotic Transoral Removal of a Bilateral Hilar Submandibular Stone: Technical Note and Review of the Literature

Submandibular gland sialolithiasis can be addressed by gland removal or by stone removal. Intraoral stone removal has now become the go-to technique to minimize aesthetic and functional sequelae (e.g., marginalis mandibulae injury, visible surgery scar) and, although traditional techniques were first experimented with (intraoral ducotomy), newer techniques drew the interest of the scientific community: sialoendoscopy, TORS-S (TransOral Robotic Surgery Assisted–Sialolithotomy) and VITOM-guided sialolithotomy. In this article, we compare the two newest transoral techniques for transoral sialolithotomy, TORS-S and 3D-4K VITOM-guided sialolithotomy, used to treat bilateral hilar submandibular gland sialolithiasis in the same patient, one technique for each side. Using these techniques, a faster recovery is achievable with almost no anatomical and/or functional sequelae, since they both allow better visualization and manipulation of soft tissues and noble structures (e.g., lingual nerve and Wharton’s duct) and make surgery easier and safer. Moreover, OR staff can better perceive surgical steps and be involved in the procedure, thus showing the high educational and training potential of these technologies.

Stereotactic Magnetic Resonance-Guided Adaptive and Non-Adaptive Radiotherapy on Combination MR-Linear Accelerators: Current Practice and Future Directions.

Stereotactic body radiotherapy (SBRT) is an effective radiation therapy technique that has allowed for shorter treatment courses, as compared to conventionally dosed radiation therapy. As its name implies, SBRT relies on daily image guidance to ensure that each fraction targets a tumor, instead of healthy tissue. Magnetic resonance imaging (MRI) offers improved soft-tissue visualization, allowing for better tumor and normal tissue delineation. MR-guided RT (MRgRT) has traditionally been defined by the use of offline MRI to aid in defining the RT volumes during the initial planning stages in order to ensure accurate tumor targeting while sparing critical normal tissues. However, the ViewRay MRIdian and Elekta Unity have improved upon and revolutionized the MRgRT by creating a combined MRI and linear accelerator (MRL), allowing MRgRT to incorporate online MRI in RT. MRL-based MR-guided SBRT (MRgSBRT) represents a novel solution to deliver higher doses to larger volumes of gross disease, regardless of the proximity of at-risk organs due to the (1) superior soft-tissue visualization for patient positioning, (2) real-time continuous intrafraction assessment of internal structures, and (3) daily online adaptive replanning. Stereotactic MR-guided adaptive radiation therapy (SMART) has enabled the safe delivery of ablative doses to tumors adjacent to radiosensitive tissues throughout the body. Although it is still a relatively new RT technique, SMART has demonstrated significant opportunities to improve disease control and reduce toxicity. In this review, we included the current clinical applications and the active prospective trials related to SMART. We highlighted the most impactful clinical studies at various tumor sites. In addition, we explored how MRL-based multiparametric MRI could potentially synergize with SMART to significantly change the current treatment paradigm and to improve personalized cancer care.