Integrating Deep Learning-Based Dose Distribution Prediction with Bayesian Networks for Decision Support in Radiotherapy for Upper Gastrointestinal cancer.

Purpose: Selecting the better techniques to harbor optimal motion management, either a stereotactic linear accelerator delivery using TrueBeam (TBX) or Magnetic Resonance (MR)-guided gated delivery using MRIdian (MRG), is time-consuming and costly. To address this challenge, we aimed to develop a decision-supporting algorithm based on a combination of deep learning-generated dose distributions and clinical data. Materials and Methods: We retrospectively analyzed 65 patients with liver or pancreatic cancer who underwent both TBX and MRG simulations and planning process. We trained three-dimensional U-Net deep learning models to predict dose distributions and generated dose volume histograms (DVHs) for each system. We integrated predicted DVH metrics into a Bayesian network (BN) model incorporating clinical data. Results: The MRG prediction model outperformed the TBX model, demonstrating statistically significant superiorities in predicting normalized dose to the PTV and liver. We developed a final BN prediction model integrating the predictive DVH metrics with patient factors like age, PTV size, and tumor location. This BN model an area under the receiver operating characteristic curve index of 83.56%. The decision tree derived from the BN model showed that the tumor location (abutting vs. apart of PTV to hollow viscus organs) was the most important factor to determine TBX or MRG. Conclusion: We demonstrated a decision-supporting algorithm for selecting optimal RT plans in upper gastrointestinal cancers, incorporating both deep learning-based dose prediction and BN-based treatment selection. This approach might streamline the decision-making process, saving resources and improving treatment outcomes for patients undergoing RT.

Quality of Care and Management of Atopic Dermatitis Across Different Levels of Healthcare-A Survey-Based Patient Experience.

Atopic dermatitis (AD) is a chronic and fluctuating disease. Optimal management of AD and related comorbidities requires seamless coordination across multiple layers of the healthcare system. The objective of this survey was to explore patients' experiences with current management of AD. Out of 251 responders to this anonymous survey, 76% reported to have moderate or severe AD. Sixty-nine percent with moderate and 45% with severe AD were followed up at primary care level only. Use of advanced systemic treatment options was rare, and the majority experienced itch (97%), dry skin, rash, negative impact on self-esteem and comorbidities despite ongoing treatment. Only 36% received a treatment plan, more often in secondary (78.3%) than primary care (25.0%). Forty-three percent did not know who was responsible for their follow-up and 54% felt no one was responsible. Treatment options were commonly not known or understood. The survey results demonstrate undertreatment, lack of a holistic approach for management of AD. A national pathway including clear referral criteria and timelines can streamline management of AD across multiple levels of the healthcare system.

Impact of 1.5†T Magnetic Field on Treatment Plan Quality in MR-Guided Radiotherapy: Typical Phantom Test Cases.

PURPOSE: This study aims to investigate the influence of the magnetic field on treatment plan quality using typical phantom test cases, which encompass a circle target test case, AAPM TG119 test cases (prostate, head-and-neck, C-shape, multi-target test cases), and a lung test case. MATERIALS AND METHODS: For the typical phantom test cases, two plans were formulated. The first plan underwent optimization in the presence of a 1.5 Tesla magnetic field (1.5 T plan). The second plan was re-optimized without a magnetic field (0 T plan), utilizing the same optimization conditions as the first plan. The two plans were compared based on various parameters, including con-formity index (CI), homogeneity index (HI), fit index (FI) and dose coverage of the planning target volume (PTV), dose delivered to organs at risk (OARs) and normal tissue (NT), monitor unit (MU). A plan-quality metric (PQM) scoring procedure was employed. For the 1.5 T plans, dose verifications were performed using an MR-compatible ArcCHECK phantom. RESULTS: A smaller dose influence of the magnetic field was found for the circle target, prostate, head-and-neck, and C-shape test cases, compared with the multi-target and lung test cases. In the multi-target test case, the significant dose influence was on the inferior PTV, followed by the superior PTV. There was a relatively large dose influence on the PTV and OARs for lung test case. No statistically significant differences in PQM and MUs were observed. For the 1.5 T plans, gamma passing rates were all higher than 95% with criteria of 2 mm/3% and 2 mm/2%. CONCLUSION: The presence of a 1.5 T magnetic field had a relatively large impact on dose parameters in the multi-target and lung test cases compared with other test cases. However, there were no significant influences on the plan-quality metric, MU and dose accuracy for all test cases.

The Impact of Molecular and Genetic Analysis on the Treatment of Patients with Atypical Meningiomas.

Meningiomas represent approximately 40% of all primary tumors of the central nervous system (CNS) and, based on the latest World Health Organization (WHO) guidelines, are classified into three grades and fifteen subtypes. The optimal treatment comprises gross total tumor resection. The WHO grade and the extent of tumor resection assessed by the Simpson grading system are the most important predictors of recurrence. Atypical meningiomas, a grade 2 meningioma, which represent almost a fifth of all meningiomas, have a recurrence rate of around 50%. Currently, different histopathologic, cytogenetic, and molecular genetic alterations have been associated with different meningioma phenotypes; however, the data are insufficient to enable the development of specific treatment plans. The optimal treatment, in terms of adjuvant radiotherapy and postoperative systemic therapy in atypical meningiomas, remains controversial, with inconclusive evidence in the literature and existing studies. We review the recent literature to identify studies investigating relevant atypical meningioma biomarkers and their clinical application and effects on treatment options.

Study of Biological Effects Induced in Solid Tumors by Shortened-Duration Thermal Ablation Using High-Intensity Focused Ultrasound.

The HIFU ablation technique is limited by the long duration of the procedure, which results from the large difference between the size of the HIFU beam's focus and the tumor size. Ablation of large tumors requires treating them with a sequence of single HIFU beams, with a specific time interval in-between. The aim of this study was to evaluate the biological effects induced in a malignant solid tumor of the rat mammary gland, implanted in adult Wistar rats, during HIFU treatment according to a new ablation plan which allowed researchers to significantly shorten the duration of the procedure. We used a custom, automated, ultrasound imaging-guided HIFU ablation device. Tumors with a 1 mm thickness margin of healthy tissue were subjected to HIFU. Three days later, the animals were sacrificed, and the HIFU-treated tissues were harvested. The biological effects were studied, employing morphological, histological, immunohistochemical, and ultrastructural techniques. Massive cell death, hemorrhages, tissue loss, influx of immune cells, and induction of pro-inflammatory cytokines were observed in the HIFU-treated tumors. No damage to healthy tissues was observed in the area surrounding the safety margin. These results confirmed the efficacy of the proposed shortened duration of the HIFU ablation procedure and its potential for the treatment of solid tumors.

Lumbar and Cervical Concurrent Muscle Activity Analysis During Hamstring Length Testing to Design a Customized Treatment Plan: An Observational Cross-Sectional Study.

BACKGROUND:  Hamstring length plays a significant role in a spectrum of clinical entities, from injury prevention and gait dysfunction to posture correction. Evidence suggests that the prevalence of hamstring tightness (HT)/reduced length is increasing. Despite the number of available tests and treatment protocols, HT is still a functional diagnosis. This study's primary goal is to evaluate concurrent muscle (CM) usage during these testing procedures to design a unique, customized treatment protocol. METHODS: The study was conducted in two stages. In phase 1, Active Straight Leg Raise (ASLR), Active Total Knee Extension (ATKE), and Active Seated Total Knee Extension (ASTKE) were carried out. Next, two pressure gauges (PGs) were placed to align with the natural lumbar and cervical curvatures while testing ASLR and ATKE. After analyzing the results for pressure gauge placement, phase 2 data were collected for tests ASLR and ATKE with PG. RESULTS: The results of ASLR and ATKE, both with and without PG, indicate a high prevalence rate, whereas the results of ASTKE show no prevalence. Changes in the PG values indicate CM usage. Dichotomization revealed that participants with normal test scores (non-HT group) had increased usage of CM work. Positive and negative changes in PG indicate the involved CM group. CONCLUSION(S): In regular practice, most healthcare professionals and fitness trainers prefer ASTKE due to the ease of the testing procedure. Directing co-professionals on their choice of tests is challenging, whereas providing knowledge about CM use paves the way for creating customized treatment plans.

Optimising head and neck cancer patient management: the crucial contributions of multidisciplinary tumour board decision-making.

Introduction: Squamous cell carcinoma (SCC) of the head and neck is a great burden globally, which is being tackled through treatment options of surgery, radiation therapy, chemotherapy, or a combination of these, to avoid disease-related mortality. Multidisciplinary tumour boards play a pivotal role in customising and deciding management plan based on clinical aspects. The objective of the study is to determine the concordance of opinion between the treatment plan of a primary physician and board members. Material and methods: This is a retrospective cross-sectional study that includes 137 head and neck carcinoma cases. They were discussed in the multidisciplinary tumour board meeting and were reviewed; all demographics were analysed including the tumour staging and the decisions of the primary physician was compared with those of the board. To check the concordance between primary surgeon plans or after board discussion Kappa agreement test was used. Results: Total of 137 patients were included in the study out of which 63 cases were pre-treatment and 74 cases were post-treatment, i.e., surgically treated cases, with the distribution being 46% and 54%, respectively. Most cases, totaling 120, were SCC, accounting for 80% of the total cases. Among the pre-treatment cases, T4a and N0 were the most common categories, with 29 and 40 cases, respectively. Similarly, in post-treatment cases, the majority fell into the T4a and N1 categories, with 29 and 38 cases, respectively. When comparing the primary surgeon's plan with the tumour board meeting decision, the agreement showed a value of 0.273, indicating a slight level of agreement between the two entities. Conclusion: Our data indicates that the multidisciplinary head and neck tumour board may have influenced the treatment plans of the primary surgeon, in approximately one in two patients (43.06%).

Application value of real-time shear wave elastography in the diagnosis and efficacy evaluation of venous thrombosis.

BACKGROUND: Deep vein thrombosis (DVT) of the lower limbs is a venous reflux disorder caused by abnormal coagulation of blood components, primarily characterised by swelling and pain in the lower limbs. Key risk factors include prolonged immobility due to bed rest, pregnancy, postpartum or postoperative states, traumas, malignant tumours and long-term contraceptive use. OBJECTIVE: To investigate the application of real-time shear wave elastography (SWE) in diagnosing lower-limb deep vein thrombosis (DVT). METHODS: A total of 91 patients with DVT were selected and divided into three groups: acute phase (n= 29), subacute phase (n= 30) and chronic phase (n= 32). The Young's modulus of the patients was measured using real-time SWE. The diagnostic efficacy of Young's modulus was evaluated by ROC curves. The hardness differences in Young's modulus across different parts of the same thrombus (head, body and tail) were measured using SWE. RESULTS: Before treatment, significant differences were observed in Young's modulus among patients with DVT (P< 0.001). Following anticoagulant therapy, catheter-directed thrombolysis and systemic thrombolysis, significant differences were noted in Young's modulus among patients at the same stage but receiving different treatments (acute phase: P= 0.003; subacute phase: P= 0.014; chronic phase: P= 0.004). Catheter-directed thrombolysis had greater efficacy than anticoagulant therapy. The area under the curve for SWE in staging patients was 0.917, with a sensitivity of 92.36% and specificity of 93.81%. Significant differences in Young's modulus were found between the thrombus head and thrombus body and tail but not between the thrombus body and thrombus tail. CONCLUSION: Measurement of Young's modulus using SWE can serve as an auxiliary means of evaluating staging, predicting pulmonary embolism and selecting treatment in patients with DVT.

Estimated compared with actual plans of paediatric dental treatment performed under deep sedation: A retrospective cohort study.

BACKGROUND: Planning the extent of paediatric dental treatment under deep sedation is highly important, as the duration of the sedation should be limited to approximately 1 h, and the amount of local anesthesia is limited by the children's body weight. AIM: To compare treatment plans estimated at initial examinations with actual dental treatments under intravenous deep sedation. We examined factors that could affect the differences. DESIGN: For this retrospective cohort study, data were collected from the medical records of all the children younger than 18 years who underwent dental treatment under intravenous deep sedation during 2019-2021 at the Department of Pediatric Dentistry. RESULTS: In total, 108 children were included. During the actual versus the estimated treatment under deep sedation, more teeth were treated (p < .001), and the treatment was more complex (p < .001). A longer waiting period for dental treatment was found to be correlated with a greater number of treated teeth than was estimated (p = .003) and with greater complexity of the actual than the estimated treatment (p = .003). CONCLUSION: Actual compared with estimated dental treatment under deep sedation involved more teeth and was of greater complexity. This suggests that referrals should include children with limited estimated treatment plans.

Improving head and neck sarcoma care: The impact of a specialized multidisciplinary team approach on diagnosis and patient outcomes.

OBJECTIVE: Globally, head & neck sarcoma care pathways remain unclear. In 2018, the London Sarcoma Service (LSS) set up a dedicated head and neck sarcoma (HNS) multidisciplinary team (MDT) with a clear objective to provide formal access to super-specialist expertise in diagnosis, treatment planning and management of HNS. The aim of the study is to provide first results of a dedicated HNS MDT. METHODS: All patients discussed between 2018 and 2022, in HNS MDT, with a new histologically confirmed HNS diagnosis were included in the study. Demographics, anatomic site, morphology, MDT recommendation, treatment details and outcomes were obtained from electronic patient records. RESULTS: A total of 337 patients were discussed in the HNS MDT of which 178 patients were included in the study, with a median age of 53 years(range 2-94); 67 % were soft tissue sarcomas(STS) and 33 % were bone sarcomas(BS), of which 43 % and 71 % were high grade, respectively. 55 % BS and 39 % STS underwent surgery. 9 % of BS and 7 % of STS received adjuvant Proton Beam therapy. With a median follow-up of 2.16 years, recurrence was observed in 12 %, distant metastasis in 6 % of patients and overall survival was 72 %. CONCLUSION: The HNS MDT provides expertise on diagnosis and multi-modality management of HNS. STS are more likely to be misdiagnosed. Atypical imaging characteristics should trigger a specialist referral. Adequate surgery at first presentation remains the mainstay of treatment and the strongest prognosticator of overall survival. Formation of an expert working group specific to HNS must work towards streamlining sarcoma care.

A new approach to combined proton-photon therapy for metastatic cancer patients.

Objective.Proton therapy is a limited resource and is typically not available to metastatic cancer patients. Combined proton-photon therapy (CPPT), where most fractions are delivered with photons and only few with protons, represents an approach to distribute proton resources over a larger patient population. In this study, we consider stereotactic radiotherapy of multiple brain or liver metastases, and develop an approach to optimally take advantage of a single proton fraction by optimizing the proton and photon dose contributions to each individual metastasis.Approach.CPPT treatments must balance two competing goals: (1) deliver a larger dose in the proton fractions to reduce integral dose, and (2) fractionate the dose in the normal tissue between metastases, which requires using the photon fractions. Such CPPT treatments are generated by simultaneously optimizing intensity modulated proton therapy (IMPT) and intensity modulated radiotherapy (IMRT) plans based on their cumulative biologically effective dose (BEDα/ß). The dose contributions of the proton and photon fractions to each individual metastasis are handled as additional optimization variables in the optimization problem. The method is demonstrated for two patients with 29 and 30 brain metastases, and two patients with 4 and 3 liver metastases.Main results.Optimized CPPT plans increase the proton dose contribution to most of the metastases, while using photons to fractionate the dose around metastases which are large or located close to critical structures. On average, the optimized CPPT plans reduce the mean brain BED2by 29% and the mean liver BED4by 42% compared to IMRT-only plans. Thereby, the CPPT plans approach the dosimetric quality of IMPT-only plans, for which the mean brain BED2and mean liver BED4are reduced by 28% and 58%, respectively, compared to IMRT-only plans.Significance.CPPT with optimized proton and photon dose contributions to individual metastases may benefit selected metastatic cancer patients without tying up major proton resources.

Manejo odontológico de una paciente con síndrome de Apert / Dental management of a patient with Apert syndrome

El síndrome de Apert, marcado por la acrocéfalo-sindactilia, es una condición genética que genera deformidades dentofaciales incluyendo craneosinostosis, alteraciones faciales y malformaciones en extremidades. La mutación en el gen FGFR2, ya sea heredada o resultante de mutaciones esporádicas, desencadena esta compleja condición. La relevancia de abordar el síndrome de Apert se manifiesta no sólo en las implicaciones estéticas, sino también en su impacto en la salud oral. Romper con los paradigmas odontológicos actuales implica reconocer las particularidades de estos pacientes y proporcionar una atención especializada. La necesidad de una capacitación específica para los profesionales de la salud oral es evidente, permitiendo un enfoque integral que aborde la prevención y el tratamiento de las malformaciones craneofaciales asociadas. Superar los desafíos tradicionales implica adoptar una perspectiva inclusiva y personalizada en la atención odontológica. Esto no sólo mejora la calidad de vida de los pacientes con síndrome de Apert, sino que también destaca la importancia de una atención adaptada que trascienda los límites convencionales, ofreciendo soluciones innovadoras para las complejidades bucodentales asociadas a esta condición genética (AU)

Apert syndrome, marked by acrocephalosyndactyly, is a genetic condition that generates dentofacial deformities, including craniosynostosis, facial alterations and limb malformations. Mutation in the FGFR2 gene, whether inherited or resulting from sporadic mutations, triggers this complex condition. The relevance of addressing Apert syndrome is manifested not only in the aesthetic implications, but also in its impact on oral health. Breaking with current dental paradigms involves recognizing the particularities of these patients and providing specialized care. The need for specific training for dental health professionals is evident, allowing a comprehensive approach that addresses the prevention and treatment of associated craniofacial malformations. Overcoming traditional challenges means taking an inclusive and personalized perspective on dental care. This not only improves the quality of life of patients with Apert syndrome, but also highlights the importance of tailored care that transcends conventional boundaries, offering innovative solutions for the oral complexities associated with this genetic conditio (AU)

Hypomineralised second primary molars: the Würzburg concept.

PURPOSE: In addition to molar incisor hypomineralisation, the occurrence of enamel hypomineralisation in the primary dentition has become increasingly important in recent years. Hypomineralised second primary molar (HSPM) is defined as hypomineralisation of systemic origin affecting from one to all four second primary molars. Some years ago, the "Würzburg concept" was introduced, which proposed a grading of MIH findings (MIH treatment need index) in combination with an appropriate treatment plan depending on the severity of the affected tooth. Recently, this concept was updated and new treatment approaches have been added. However, currently, the concept solely addresses the treatment plan for permanent teeth. As there is a need to expand its scope to encompass primary teeth and, consequently, HSPM, this paper seeks to develop the second component of the Würzburg concept, the treatment plan, for the primary dentition in response to the increased focus on the disease in recent years. Although the evidence base for the different treatment options is still weak, there is a need for guidance for clinicians in their day-to-day practice. METHODS: The authors conducted a comprehensive review of the literature, encompassing clinical and laboratory studies along with published guidelines. RESULTS: The treatment plan of the HSPM Würzburg concept contains prophylactic and regenerative aspects, non-invasive interventions, temporary and permanent restorative techniques, and extraction. CONCLUSIONS: The intention is to provide practical guidance to practitioners, acknowledging the necessity for further validation through clinical trials.

Dose-response modeling and treatment plan assessment with a python software toolkit.

This software assistant aims at calculating the dose-response relations of tumors and normal tissues, or clinically assessing already determined values by other researchers. It can also indicate the optimal dose prescription by optimizing the expected treatment outcome. The software is developed solely in python programming language, and it employs PSFL license for its Graphical User Interface (GUI), NUMPY, MATPLOTLIB, and SCIPY libraries. It comprises of two components. The first is the Dose-response relations derivation component, which takes as input the dose volume histograms (DVHs) of patients and their recorded responses regarding a given clinical endpoint to determine the parameters of different tumor control probability (TCP) or normal tissue complication probability (NTCP) models. The second is the Treatment Plan Assessment component, which uses the DVHs of a plan and the dose-response parameters values of the involved tumors and organs at risk (OARs) to calculate their expected responses. Additionally, the overall probabilities of benefit (PB), injury (PI) and complication-free tumor control (P+) are calculated. The software calculates rapidly the corresponding generalized equivalent uniform doses (gEUD) and biologically effective uniform doses (D‾‾) for the Lyman-Kutcher-Burman (LKB), parallel volume (PV) and relative seriality (RS) models respectively, determining the model parameters. In the Dose-Response Relations Derivation component, the software plots the dose-response curves of the irradiated organ with the relevant confidence internals along with the data of the patients with and without toxicity. It also calculates the odds ratio (OR) and the area under the curve (AUC) of different dose metrics or model parameter values against the individual patient outcomes to determine their discrimination capacity. It also performs a goodness-of-fit evaluation of any model parameter set. The user has the option of viewing plots like Scatter, 3D surfaces, and Bootstrap plots. In the Treatment Plan Assessment part, the software calculates the TCP and NTCP values of the involved tumors and OARs, respectively. Furthermore, it plots the dose-response curves of the TCPs, NTCPs, PB, PI, and P+ for a range of prescription doses for different treatment plans. The presented software is ideal for efficiently conducting studies of radiobiological modeling. Furthermore, it is ideal for performing treatment plan assessment, comparison, and optimization studies.

Robotic Stereotactic Body Radiation Therapy for Oligometastatic Liver Metastases: A Systematic Review of the Literature and Evidence Quality Assessment.

INTRODUCTION: The role of stereotactic body radiation therapy (SBRT) as a locally effective therapeutic approach for liver oligometastases from tumors of various origin is well established. We investigated the role of robotic SBRT (rSBRT) treatment on oligometastatic patients with liver lesions. MATERIAL AND METHODS: This review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement. The PubMed and Scopus databases were accessed by two independent investigators concerning robotic rSBRT for liver metastases, up to 3 October 2023. RESULTS: In total, 15 studies, including 646 patients with 847 lesions that underwent rSBRT, were included in our systematic review. Complete response (CR) after rSBRT was achieved in 40.5% (95% CI, 36.66-44.46%), partial response (PR) in 19.01% (95% CI, 16.07-22.33%), whereas stable disease (SD) was recorded in 14.38% (95% CI, 11.8-17.41%) and progressive disease (PD) in 13.22% (95% CI, 10.74-16.17%) of patients. Progression-free survival (PFS) rates at 12 and 24 months were estimated at 61.49% (95% CI, 57.01-65.78%) and 32.55% (95% CI, 28.47-36.92%), respectively, while the overall survival (OS) rates at 12 and 24 months were estimated at 58.59% (95% CI, 53.67-63.33%) and 44.19% (95% CI, 39.38-49.12%), respectively. Grade 1 toxicity was reported in 13.81% (95% CI, 11.01-17.18%), Grade 2 toxicity in 5.57% (95% CI, 3.82-8.01%), and Grade 3 toxicity in 2.27% (955 CI, 1.22-4.07%) of included patients. CONCLUSIONS: rSBRT represents a promising method achieving local control with minimal toxicity in a significant proportion of patients. Further studies are needed to evaluate the role of rSBRT in the management of metastatic liver lesions.

Neurobrucellosis: laboratory features, clinical characteristics, antibiotic treatment, and clinical outcomes of 21 patients.

BACKGROUND: Neurobrucellosis (NB) is a rare and serious complication of brucellosis. Its clinical manifestations vary, with no obvious specificity. At present, there is no clear clinical diagnosis or treatment for reference. In this study, we retrospectively analyzed the clinical data for 21 patients with NB to provide reference data for its further study. METHODS: We analyzed the epidemiological and clinical manifestations, laboratory tests, imaging examinations, cerebrospinal fluid, and treatment plans of 21 patients diagnosed with NB in the Department of Neurology, Xuanwu Hospital, Capital Medical University Beijing, China. RESULTS: The ages of the patients ranged from 15 to 60 years old (mean age 40.1 ± 13.33 years), the male: female ratio was 4.25:1. Thirteen patients had a history of animal (sheep, cattle) contact, three had no history of animal contact, and the contact status of four was unknown. Brucella can invade various systems of the body and show multi-system symptoms, the main general manifestations were fever (66.67%), fatigue (57.14%) and functional urination or defecation disturbance (42.86%). The main nervous system manifestations were limb weakness (52.38%) and hearing loss (47.62%).The main positive signs of the nervous system included positive pathological signs (71.43%), sensory abnormalities (52.38%), limb paralysis (42.86%). Nervous system lesions mainly included spinal cord damage (66.67%), cranial nerve involvement (61.90%), central demyelination (28.57%) and meningitis (28.57%). In patients with cranial nerve involvement, 69.23% of auditory nerve, 15.38% of optic nerve and 15.38% of oculomotor nerve were involved. The blood of eight patients was cultured for Brucella, and three (37.5%) cultures were positive and five (63.5%) negative. The cerebrospinal fluid (CSF) of eight patients was cultured for Brucella, and two (25.00%) cultures were positive and six (75.00%) negative. Nineteen of the patients underwent a serum agglutination test (SAT), 18 (94.74%) of whom were positive and one (5.26%) of whom were negative. A biochemical analysis of the CSF was performed in 21 patients, and the results were all abnormal. Nineteen patients underwent magnetic resonance imaging (MRI). Twenty-one patients were treated with doxycycline and/or rifampicin, combined with ceftriaxone, quinolone, aminoglycoside, or minocycline. After hospitalization, 15 patients improved (71.43%), two patients did not recover, and the status of four patients was unknown. CONCLUSIONS: The clinical manifestations, CSF parameters, and neurological imaging data for patients with NB show no significant specificity or correlations. When patients with unexplained neurological symptoms accompanied by fever, fatigue, and other systemic manifestations in a brucellosis epidemic area or with a history of contact with cattle, sheep, animals, or raw food are encountered in clinical practice, the possibility of NB should be considered. Treatment is based on the principles of an early, combined, and long course of treatment, and the general prognosis is good.

The relationship between orthodontic and orthopaedic interventions in the influence of postural position on the bite.

OBJECTIVE: In orthodontic treatment, the influence of posture on the bite plays a significant role in achieving stable results. With modern lifestyles, posture problems are becoming more common. The aim of this study was to comprehensively analyze the relationship between orthodontics, orthopedics, and the influence of posture on bite. The study reviewed statistics on the growth and popularity of orthodontic treatment methods and identified the importance of a comprehensive medical approach, especially for concomitant spine, posture, and flat feet problems. METHODS: The following methods were used to achieve the objective: collection and analysis of statistical data on the popularity of orthodontic treatment; review of studies; clinical observations; and a comparative analysis of the effectiveness of different treatment methods. RESULTS: The study revealed a high degree of correlation between orthodontics, orthopedics, and the effect of posture on bite formation. A detailed analysis of the statistical data confirmed the increased interest in orthodontic treatment, including the use of modern technologies such as braces and eliners. This relevance is particularly noticeable in cases where there are concomitant problems with the spine, posture, and flat feet. CONCLUSION: One of the significant findings of the study was the confirmation of the urgent need for the convergence of orthodontic and orthopedic techniques to optimize the quality of care for patients suffering from combined posture and bite problems.

Evaluation of different machine learning algorithms for extraction decision in orthodontic treatment.

INTRODUCTION: The extraction decision significantly affects the treatment process and outcome. Therefore, it is crucial to make this decision with a more objective and standardized method. The objectives of this study were (1) to identify the best-performing model among seven machine learning (ML) models, which will standardize the extraction decision and serve as a guide for inexperienced clinicians, and (2) to determine the important variables for the extraction decision. METHODS: This study included 1000 patients who received orthodontic treatment with or without extraction (500 extraction and 500 non-extraction). The success criteria of the study were the decisions made by the four experienced orthodontists. Seven ML models were trained using 36 variables; including demographic information, cephalometric and model measurements. First, the extraction decision was performed, and then the extraction type was identified. Accuracy and area under the curve (AUC) of the receiver operating characteristics (ROC) curve were used to measure the success of ML models. RESULTS: The Stacking Classifier model, which consists of Gradient Boosted Trees, Support Vector Machine, and Random Forest models, showed the highest performance in extraction decision with 91.2% AUC. The most important features determining extraction decision were maxillary and mandibular arch length discrepancy, Wits Appraisal, and ANS-Me length. Likewise, the Stacking Classifier showed the highest performance with 76.3% accuracy in extraction type decisions. The most important variables for the extraction type decision were mandibular arch length discrepancy, Class I molar relationship, cephalometric overbite, Wits Appraisal, and L1-NB distance. CONCLUSION: The Stacking Classifier model exhibited the best performance for the extraction decision. While ML models showed a high performance in extraction decision, they could not able to achieve the same level of performance in extraction type decision.

A reference-point-method-based online proton treatment plan re-optimization strategy and a novel solution to planning constraint infeasibility problem.

Objective. Propose a highly automated treatment plan re-optimization strategy suitable for online adaptive proton therapy. The strategy includes a rapid re-optimization method that generates quality replans and a novel solution that efficiently addresses the planning constraint infeasibility issue that can significantly prolong the re-optimization process.Approach. We propose a systematic reference point method (RPM) model that minimizes the l-infinity norm from the initial treatment plan in the daily objective space for online re-optimization. This model minimizes the largest objective value deviation among the objectives of the daily replan from their reference values, leading to a daily replan similar to the initial plan. Whether a set of planning constraints is feasible with respect to the daily anatomy cannot be known before solving the corresponding optimization problem. The conventional trial-and-error-based relaxation process can cost a significant amount of time. To that end, we propose an optimization problem that first estimates the magnitude of daily violation of each planning constraint. Guided by the violation magnitude and clinical importance of the constraints, the constraints are then iteratively converted into objectives based on their priority until the infeasibility issue is solved.Main results.The proposed RPM-based strategy generated replans similar to the offline manual replans within the online time requirement for six head and neck and four breast patients. The average targetD95and relevant organ at risk sparing parameter differences between the RPM replans and clinical offline replans were -0.23, -1.62 Gy for head and neck cases and 0.29, -0.39 Gy for breast cases. The proposed constraint relaxation solution made the RPM problem feasible after one round of relaxation for all four patients who encountered the infeasibility issue.Significance. We proposed a novel RPM-based re-optimization strategy and demonstrated its effectiveness on complex cases, regardless of whether constraint infeasibility is encountered.

Study on decision-making for orthodontic treatment plans based on analytic hierarchy process.

BACKGROUND: Orthodontics is a common treatment for malocclusion and is essential for improving the oral health and aesthetics of patients. Currently, patients often rely on the clinical expertise and professional knowledge of doctors to select orthodontic programs. However, they lack their own objective and systematic evaluation methods to quantitatively compare different programs. Therefore, there is a need for a more comprehensive and quantitative approach to selecting orthodontic treatment plans, aiming to enhance their scientific validity and effectiveness. METHODS: In this study, a combination of the analytic hierarchy process (AHP) and semantic analysis was used to evaluate and compare different orthodontic treatment options. An AHP model and evaluation matrix were established through thorough research and semantic analysis of patient requirements. This model considered various treatment factors. Expert panels were invited to rate these factors using a 1-9 scale. The optimal solution was determined by ranking and comparing different orthodontic treatment plans using the geometric mean method to calculate the weights of each criterion. RESULTS: The research indicates a higher preference for invisible correction compared to other orthodontic solutions, with a weight score that is 0.3923 higher. Factors such as comfort and difficulty of cleaning have been given significant attention. CONCLUSION: The Analytic Hierarchy Process (AHP) method can be utilized to effectively develop orthodontic treatment plans, making the treatment process more objective, scientific, and personalized. The design of this study offers strong decision support for orthodontic treatment, potentially improving orthodontic treatment outcomes in clinical practice and ultimately enhancing oral health and patients' quality of life.