377 research outputs found

    124I-HuCC49deltaCH2 for TAG-72 antigen-directed positron emission tomography (PET) imaging of LS174T colon adenocarcinoma tumor implants in xenograft mice: preliminary results

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    <p>Abstract</p> <p>Background</p> <p><sup>18</sup>F-fluorodeoxyglucose positron emission tomography (<sup>18</sup>F-FDG-PET) is widely used in diagnostic cancer imaging. However, the use of <sup>18</sup>F-FDG in PET-based imaging is limited by its specificity and sensitivity. In contrast, anti-TAG (tumor associated glycoprotein)-72 monoclonal antibodies are highly specific for binding to a variety of adenocarcinomas, including colorectal cancer. The aim of this preliminary study was to evaluate a complimentary determining region (CDR)-grafted humanized C<sub>H</sub>2-domain-deleted anti-TAG-72 monoclonal antibody (HuCC49deltaC<sub>H</sub>2), radiolabeled with iodine-124 (<sup>124</sup>I), as an antigen-directed and cancer-specific targeting agent for PET-based imaging.</p> <p>Methods</p> <p>HuCC49deltaC<sub>H</sub>2 was radiolabeled with <sup>124</sup>I. Subcutaneous tumor implants of LS174T colon adenocarcinoma cells, which express TAG-72 antigen, were grown on athymic Nu/Nu nude mice as the xenograft model. Intravascular (i.v.) and intraperitoneal (i.p.) administration of <sup>124</sup>I-HuCC49deltaC<sub>H</sub>2 was then evaluated in this xenograft mouse model at various time points from approximately 1 hour to 24 hours after injection using microPET imaging. This was compared to i.v. injection of <sup>18</sup>F-FDG in the same xenograft mouse model using microPET imaging at 50 minutes after injection.</p> <p>Results</p> <p>At approximately 1 hour after i.v. injection, <sup>124</sup>I-HuCC49deltaC<sub>H</sub>2 was distributed within the systemic circulation, while at approximately 1 hour after i.p. injection, <sup>124</sup>I-HuCC49deltaC<sub>H</sub>2 was distributed within the peritoneal cavity. At time points from 18 hours to 24 hours after i.v. and i.p. injection, <sup>124</sup>I-HuCC49deltaC<sub>H</sub>2 demonstrated a significantly increased level of specific localization to LS174T tumor implants (p = 0.001) when compared to the 1 hour images. In contrast, approximately 50 minutes after i.v. injection, <sup>18</sup>F-FDG failed to demonstrate any increased level of specific localization to a LS174T tumor implant, but showed the propensity toward more nonspecific uptake within the heart, Harderian glands of the bony orbits of the eyes, brown fat of the posterior neck, kidneys, and bladder.</p> <p>Conclusions</p> <p>On microPET imaging, <sup>124</sup>I-HuCC49deltaC<sub>H</sub>2 demonstrates an increased level of specific localization to tumor implants of LS174T colon adenocarcinoma cells in the xenograft mouse model on delayed imaging, while <sup>18</sup>F-FDG failed to demonstrate this. The antigen-directed and cancer-specific <sup>124</sup>I-radiolabled anti-TAG-72 monoclonal antibody conjugate, <sup>124</sup>I-HuCC49deltaC<sub>H</sub>2, holds future potential for use in human clinical trials for preoperative, intraoperative, and postoperative PET-based imaging strategies, including fused-modality PET-based imaging platforms.</p

    Optimization of computer-assisted intraoperative guidance for complex oncological procedures

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    Mención Internacional en el título de doctorThe role of technology inside the operating room is constantly increasing, allowing surgical procedures previously considered impossible or too risky due to their complexity or limited access. These reliable tools have improved surgical efficiency and safety. Cancer treatment is one of the surgical specialties that has benefited most from these techniques due to its high incidence and the accuracy required for tumor resections with conservative approaches and clear margins. However, in many cases, introducing these technologies into surgical scenarios is expensive and entails complex setups that are obtrusive, invasive, and increase the operative time. In this thesis, we proposed convenient, accessible, reliable, and non-invasive solutions for two highly complex regions for tumor resection surgeries: pelvis and head and neck. We explored how the introduction of 3D printing, surgical navigation, and augmented reality in these scenarios provided high intraoperative precision. First, we presented a less invasive setup for osteotomy guidance in pelvic tumor resections based on small patient-specific instruments (PSIs) fabricated with a desktop 3D printer at a low cost. We evaluated their accuracy in a cadaveric study, following a realistic workflow, and obtained similar results to previous studies with more invasive setups. We also identified the ilium as the region more prone to errors. Then, we proposed surgical navigation using these small PSIs for image-to-patient registration. Artificial landmarks included in the PSIs substitute the anatomical landmarks and the bone surface commonly used for this step, which require additional bone exposure and is, therefore, more invasive. We also presented an alternative and more convenient installation of the dynamic reference frame used to track the patient movements in surgical navigation. The reference frame is inserted in a socket included in the PSIs and can be attached and detached without losing precision and simplifying the installation. We validated the setup in a cadaveric study, evaluating the accuracy and finding the optimal PSI configuration in the three most common scenarios for pelvic tumor resection. The results demonstrated high accuracy, where the main source of error was again incorrect placements of PSIs in regular and homogeneous regions such as the ilium. The main limitation of PSIs is the guidance error resulting from incorrect placements. To overcome this issue, we proposed augmented reality as a tool to guide PSI installation in the patient’s bone. We developed an application for smartphones and HoloLens 2 that displays the correct position intraoperatively. We measured the placement errors in a conventional and a realistic phantom, including a silicone layer to simulate tissue. The results demonstrated a significant reduction of errors with augmented reality compared to freehand placement, ensuring an installation of the PSI close to the target area. Finally, we proposed three setups for surgical navigation in palate tumor resections, using optical trackers and augmented reality. The tracking tools for the patient and surgical instruments were fabricated with low-cost desktop 3D printers and designed to provide less invasive setups compared to previous solutions. All setups presented similar results with high accuracy when tested in a 3D-printed patient-specific phantom. They were then validated in the real surgical case, and one of the solutions was applied for intraoperative guidance. Postoperative results demonstrated high navigation accuracy, obtaining optimal surgical outcomes. The proposed solution enabled a conservative surgical approach with a less invasive navigation setup. To conclude, in this thesis we have proposed new setups for intraoperative navigation in two complex surgical scenarios for tumor resection. We analyzed their navigation precision, defining the optimal configurations to ensure accuracy. With this, we have demonstrated that computer-assisted surgery techniques can be integrated into the surgical workflow with accessible and non-invasive setups. These results are a step further towards optimizing the procedures and continue improving surgical outcomes in complex surgical scenarios.Programa de Doctorado en Ciencia y Tecnología Biomédica por la Universidad Carlos III de MadridPresidente: Raúl San José Estépar.- Secretario: Alba González Álvarez.- Vocal: Simon Droui

    Innovations in the Integrated Management of Breast Cancer

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    Breast cancer is acknowledged as an international priority in healthcare. It is currently the most common cancer in women worldwide, with demographic trends indicating a continuous increase in incidence. Over the years, increasing efforts and resources have been devoted to the search for a systematic and optimized strategy in breast cancer diagnosis and treatment. Today, the Breast Unit model is considered the gold standard in order to ensure optimal patient-centered and research-based clinical services through multidisciplinary and integrated management.Surgical treatment has gradually evolved toward less aggressive approaches with the adoption of new therapeutic strategies. The evolution of evidence-based guidelines in such leading disciplines as radiation and medical oncology has led to a steady improvement in survival rates. This Special Issue will highlight innovations in the integrated management of breast cancer, their potential advantages, and the many open issues that still need to be properly defined and addressed

    A structured-light surface scanning system to evaluate breast morphology in standing and supine positions

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    Objective and accurate surface measurements of the human breast are important for surgical planning and outcome assessment. Breast shapes are affected by gravitational loads and deformities, and the measurements obtained in the standing position may not correlate well with measurements in supine position, which is more representative of breast surgery. To evaluate the effect of changes in body posture on breast morphology, a dual color 3D surface imaging system capable of scanning patients in both the supine and standing positions was developed. System performance was established by assessing the surface coverage and accuracy between a CAD breast model and 3D surface scans of a 3D print of the CAD model. The modular nature of the system offers the potential to add additional surface scanners with unique colors to increase coverage without sacrificing speed. The human pilot study shows that the system can quantitatively evaluate the effect of subject postures in individuals with smaller breasts, and thereby has the potential to be used to investigate changes in breast morphologies

    Turning data into decisions : clinical decision support in orthopaedic oncology

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    Background: The treatment of patients with skeletal metastases is predicated on each patient’s estimated survival. In order to maximize function and quality of life, orthopaedic surgeons must carefully avoid over- or undertreatment of the disease. Unfortunately, physician estimates are notoriously inaccurate and there are no validated means by which to estimate patient survival in patients with long-bone skeletal metastases. The purpose of this thesis is to apply machine learning (ML) approaches to (1) develop a clinical decision support (CDS) tool capable of estimating survival in patients with operable skeletal metastases, and (2) establish guidelines so that this approach may be used in other relevant topics within the field of orthopaedics. Methods: We first defined the scope of the problem using data from the Karolinska Skeletal Metastasis Registry. We then developed objective criteria by which to estimate patient survival using data gleaned from the Memorial Sloan-Kettering Skeletal Metastasis Database (n=189). We employed ML techniques to find patterns within the data associated with short- and long-term survival. We chose three and 12 months because they are widely accepted to guide orthopaedic surgical decisionmaking. We developed an Artificial Neural Network (ANN), a Bayesian Belief Network (BBN), and a traditional Logistic Regression (LR) model. Each resulting model was internally validated and compared using Receiver Operator Characteristic (ROC) analysis. In addition, we performed decision analysis to determine which model, if any, was suited for clinical use. Next, we externally validated the models using Scandinavian Registry data (n=815), and again using data collected by the Societ. Italiana di Ortopedia e Traumatologia (SIOT) (n=287). We then created a web-based CDS tool as well as the infrastructure to collect prospective data on a global scale, so the models could be improved over time. Finally, we used BBN modeling to describe the hierarchical relationships between features associated with the treatment of highgrade soft tissue sarcomas (STS), and codify this complex information into a graphical representation to promote a more thorough understanding of the disease process. Results: We found that implant failures in patients with skeletal metastases remain relatively common—even in the revision setting—as patients outlive their implants. On the other hand, perioperative deaths are relatively common, indicating that an estimation of life expectancy should be part of the surgical decision making process. Using ML approaches, we found several criteria that can be used to estimate longevity in this patient population. When compared to other techniques, the ANN model was most accurate, and also resulted in highest net benefit on decision analysis, compared to the BBN and LR models. However, the BBN is the best suited to accommodate missing data, which is common in the clinical setting. The three- and 12-month BBN models were successfully externally validated using the SSMR database (Area under the ROC curve (AUC) of 0.79 and 0.76, respectively), and again using SIOT data (AUC 0.80 and 0.77). In the setting of high-grade, completely excised STS, BBN Modeling identified the first-degree associates of disease-specific survival to be the size of the primary tumor, and the presence and timing of local and distant recurrence. Conclusions: We successfully developed and validated a CDS tool designed to estimate survival in patients with operable skeletal metastases. In addition, we made this tool available to orthopaedic surgeons, worldwide, at www.pathfx.org. We also created an international skeletal metastasis registry to continue to collect data on patients with skeletal metastases. Within this framework, prognostic models have the capacity to improve over time, as treatment philosophies evolve and more effective systemic therapies become available. These techniques may now be applied to other disciplines, in an effort to turn quality data into decision support tools

    'Clinical Triad' findings in Klippel-feil patients

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    E-Poster - Congenital Deformity: no. 530It has been propagated that Klippel-Feil Syndrome (KFS) is associated with the clinical triad findings (CTF) of short neck, low posterior hairline, and limited range of motion. This study noted that CTFs are not consistently noted in KFS patients. KFS patients with extensive congenitally fused cervical segments were more likely to exhibit one of the components of CTF.postprin

    Selection of fusion levels in adolescent idiopathic scoliosis (AIS) using the fulcrum bending radiograph prediction: verification based on pedicle screw strategy

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    E-Poster - Adolescent Idiopathic Scoliosis: no. 297Utilizing the fulcrum bending radiographic technique to assess curve flexibility to aid in the selection of fusion levels, a prospective radiographic study was performed to assess the safety and effectiveness of pedicle screw fixation with alternate level screw strategy (ALSS) for thoracic AIS. This study suggests that ALSS obtains greater deformity correction than hook and hybrid systems, and improves balance without compromising fusion levels.postprin

    Book of Abstracts 15th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering and 3rd Conference on Imaging and Visualization

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    In this edition, the two events will run together as a single conference, highlighting the strong connection with the Taylor & Francis journals: Computer Methods in Biomechanics and Biomedical Engineering (John Middleton and Christopher Jacobs, Eds.) and Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization (JoãoManuel R.S. Tavares, Ed.). The conference has become a major international meeting on computational biomechanics, imaging andvisualization. In this edition, the main program includes 212 presentations. In addition, sixteen renowned researchers will give plenary keynotes, addressing current challenges in computational biomechanics and biomedical imaging. In Lisbon, for the first time, a session dedicated to award the winner of the Best Paper in CMBBE Journal will take place. We believe that CMBBE2018 will have a strong impact on the development of computational biomechanics and biomedical imaging and visualization, identifying emerging areas of research and promoting the collaboration and networking between participants. This impact is evidenced through the well-known research groups, commercial companies and scientific organizations, who continue to support and sponsor the CMBBE meeting series. In fact, the conference is enriched with five workshops on specific scientific topics and commercial software.info:eu-repo/semantics/draf

    The safety and efficacy of a remotely distractible, magnetic controlled growing rod (MCGR) for the treatment of scoliosis in children: a prospective case series with minimum two year follow-up

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    Concurrent Session 2B - Early Onset Scoliosis: paper no. 26SUMMARY: The growing rod has been the gold standard for the treatment of scoliosis in young children. However, such management requires multiple open surgeries under general anesthesia for rod distraction and is associated with numerous postoperative complications. To avoid such pitfalls, we utilized a magnetically-controlled growing rod (MCGR) implant. Our study found that the MCGR was safe and effective, allowing for distractions on a non-invasive out-patient basis at monthly intervals, eliminating the need for surgeries and their associated complications. Introduction: Traditionally, growing rods are the standard of treatment for young children with severe spinal deformities and significant residual growth potential. However, this requires repeated open distractions under general anesthesia and is associated with numerous post-operative complications. This report addresses the safety and efficacy of the MCGR implant for non-invasive out-patient distractions for scoliosis correction in young children. METHODS: This was a prospective, patient series of the MCGR procedure. From November 2009 to March 2011, five patients (n=3 female; n=2 male) were treated with the MCGR. In this study, we report the first three patients (2 females and 1 male) with minimum 2 years follow-up. All cases were non-invasively distracted using an external magnet on a monthly basis. Pre and post distraction radiographs were carried out to assess the Cobb’s angle, predicted versus achieved rod distraction length and spinal length. Clinical outcome assessment was performed with the pain score (Visual Analogue Scale) and the SRS-30 questionnaire. All procedural or rod related complications were recorded. RESULTS: The main correction of the Cobb’s angle was obtained in the initial surgery and was maintained. The mean monthly increase in T1-T12, T1-S1 and instrumented segment length was 1.6mm, 2.5mm and 1.2mm, respectively. Predicted versus actual length gain per distraction were similar. One case had a superficial wound infection and there was one event of loss of distraction. On last follow-up, no pain was noted and SRS-30 scores remained unchanged to baseline. CONCLUSION: The MCGR is a safe and effective procedure for the surgical treatment of scoliosis in children. The MCGR provides external distractions on an out-patient basis without the need for sedation or anesthesia, and that remote distraction allows more frequent lengthening of the rod that may more closely mimic physiologic growth.postprin
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