Guide Treatment Planning Research Articles

A Comparative Analysis of Vision Transformers and Transfer Learning for Brain Tumor Classification

Accurate brain tumor classification is crucial in neuro-oncology for guiding treatment plans and improving patient outcomes. Leveraging the potential of Vision Transformers (ViTs), this study investigates their efficacy in binary classification of brain tumors using magnetic resonance (MR) images, comparing them to CNN-based models such as VGG16, VGG19, and ResNet50. Comprehensive evaluation using accuracy, precision, recall, and F1-score reveals ViTs’ superior performance, achieving 92.59% accuracy, surpassing VGG16 (85.19%), VGG19 (74.04%), and ResNet50 (88.89%). These findings highlight ViTs as a transformative tool for clinical adoption, enhancing diagnostic accuracy and patient care in neuro-oncology.

A radiopathomics model for predicting large-number cervical lymph node metastasis in clinical N0 papillary thyroid carcinoma.

This study aimed to develop a multimodal radiopathomics model utilising preoperative ultrasound (US) and fine-needle aspiration cytology (FNAC) to predict large-number cervical lymph node metastasis (CLNM) in patients with clinically lymph node-negative (cN0) papillary thyroid carcinoma (PTC). This multicentre retrospective study included patients with PTC between October 2017 and June 2024 across seven institutions. Patients were categorised based on the presence or absence of large-number CLNM in training, validation, and external testing cohorts. A clinical model was developed based on the maximum diameter of thyroid nodules. Radiomics features were extracted from US images and pathomics features were extracted from FNAC images. Feature selection was performed using univariate analysis, correlation analysis, and least absolute shrinkage and selection operator regression. Six machine learning (ML) algorithms were employed to construct radiomics, pathomics, and radiopathomics models. Predictive performance was assessed using the area under the curve (AUC), and decision curve analysis (DCA). A total of 426 patients with PTC (41.65 ± 12.47 years; 124 men) were included in this study, with 213 (50%) exhibiting large-number CLNM. The multimodal radiopathomics model demonstrated excellent predictive capabilities with AUCs 0.921, 0.873, 0.903; accuracies (ACCs) 0.852, 0.800, 0.833; sensitivities (SENs) 0.876, 0.867, 0.857; specificities (SPEs) 0.829, 0.733, 0.810, for the training, validation, and testing cohorts, respectively. It significantly outperformed the clinical model (AUCs 0.730, 0.698, 0.630; ACCs 0.690, 0.656, 0.627; SENs 0.686, 0.378, 0.556; SPEs 0.695, 0.933, 0.698), the radiomics model (AUCs 0.819, 0.762, 0.783; ACCs 0.752, 0.722, 0.738; SENs 0.657, 0.844, 0.937; SPEs 0.848, 0.600, 0.540), and the pathomics model (AUCs 0.882, 0.786, 0.800; ACCs 0.829, 0.756, 0.786; SENs 0.819, 0.889, 0.857; SPEs 0.838, 0.633, 0.714). The multimodal radiopathomics model demonstrated significant advantages in the preoperative prediction of large-number CLNM in patients with cN0 PTC. Question Accurate preoperative prediction of large-number CLNM in PTC patients can guide treatment plans, but single-modality diagnostic performance remains limited. Findings The radiopathomics model utilising preoperative US and FNAC images effectively predicted large-number CLNM in both validation and testing cohorts, outperforming single predictive models. Clinical relevance Our study proposes a multimodal radiopathomics model based on preoperative US and FNAC images, which can effectively predict large-number CLNM in PTC preoperatively and guide clinicians in treatment planning.

Joy of Electronic Drawing for Operative Notes: Enhancing Surgical Documentation

This manuscript explores the integration of electronic drawings into surgical operative notes, highlighting their importance in improving the quality and utility of surgical documentation. Operative notes, as essential components of surgical practice, serve various purposes: they detail procedures, provide critical information to healthcare providers, guide treatment planning, and function as legal records. The transition from traditional hand-drawn illustrations to electronic drawings, enabled by the growing adoption of electronic medical record systems, has transformed surgical documentation. This digital approach offers multiple advantages, including better communication among healthcare providers, enhanced patient care, and more effective teaching tools for surgical residents. By delivering clear and intuitive visual depictions of complex procedures, electronic drawings enable faster information retrieval during time-sensitive consultations and promote a shared understanding among healthcare professionals. In conclusion, incorporating electronic drawings into operative notes significantly enriches surgical documentation, ultimately contributing to improved patient outcomes and advancing the discipline of surgery.

Evaluation of the Patient Global Impression of Symptom Severity (PGISS) Score as a Subjective and Objective Measure of Disease Activity in Chronic Rhinosinusitis.

The Sino-nasal Outcome Test (SNOT-22) is a 22-question survey that is utilized to evaluate health-related quality of life of patients with chronic rhinosinusitis (CRS). The Patient Global Impression Symptom Severity (PGISS) is a similar yet versatile instrument that combines features of both a Likert scale and a visual analog to assess symptom severity in CRS patients. While previous studies have evaluated the validity of SNOT-22 as an instrument to measure CRS patients' symptom severity, no studies have evaluated PGISS scale's ability to evaluate and guide treatment plans for CRS patients. The primary objective of this study was to analyze the clinical utility of PGISS in assessing subjective symptom severity and objective disease status in CRS patients. We additionally aimed to investigate if PGISS scores could serve as predictors for treatment strategies in CRS patients. Electronic medical records of CRS patients were retrospectively reviewed between January 2020 and January 2021 from Eastern Virginia Medical School and Sentara Healthcare. Information on demographics, objective disease metrics, treatment, and labs were collected. Statistical analyses were conducted using SAS 9.4 software. A total of 150 patients were included in our study. A statistically significant positive correlation was found between PGISS and SNOT-22 scores (r(131) = 0.701, P < .0001). Patients with moderate to severe PGISS scores had significantly higher odds of changing their treatment course (odds ratio [OR] = 6.813, P = .001, and OR = 5.491, P = .018, respectively). Additionally, patients with severe PGISS scores had decreased odds of receiving biological intervention (OR = 0.048, P = .043), but they had considerably higher odds of pursuing surgery (OR = 15.939, P = .046). No significant associations were seen between PGISS scores and receiving topical steroids, systematic steroids, nonsteroidal medical treatment, or imaging interventions (P > .05). Clinicians may consider using the PGISS scale as an alternative method to the SNOT-22 to evaluate subjective symptom severity and guide treatment plans for patients with CRS.

The Chronic Headache Self-Efficacy Scale: Development and assessment of measurement properties.

To develop and assess the psychometrics of the Chronic Headache Self-Efficacy Scale (CHASE). Existing scales assess self-efficacy in coping strategies and management of symptoms and triggers but do not measure other important self-efficacy domains, such as performing daily activities and socializing in patients with chronic daily headache (CDH). The study had two phases: (i) Development of the 14-item CHASE, with items derived from patients with CDH and a multidisciplinary healthcare team; (ii) longitudinal observational study for psychometric evaluation. Participants with CDH (N = 79) completed the CHASE, Headache Management Self-Efficacy Scale (HMSE), six-item Headache Impact Test-6 (HIT-6), and 12-item Short Form Health Survey (SF-12) at baseline, 24-72 h after baseline, and 12 weeks after baseline. The Global Rating of Change (GROC) assessed perceived change in symptoms. We assessed internal consistency, day-to-day reliability, convergent and known group discriminant validity, dimensionality, and responsiveness via minimal clinical important difference (MCID). For day-to-day reliability, the CHASE intraclass correlation coefficient was 0.68 (95% confidence interval 0.49-0.81), with standard error of measurement and minimal detectable change of 10.3% and 24%, respectively. The CHASE had two independent factors (total R2 = 54.5%) that can be combined into a single score (Cronbach's alpha internal consistency 0.88). For convergent validity, the CHASE score was related to the HIT-6, HMSE, and SF-12 (R2: 0.17-0.29, all p < 0.001). For known group discriminant validity, individuals with an active headache had a lower CHASE score than those without (mean [standard deviation] 47.7 [17.3]% vs. 57.2 [19.8]%, p < 0.001). Classification and regression tree analysis showed the MCID for meaningful positive symptom change on the GROC was a CHASE change of >8% or CHASE change of 8% with baseline CHASE >67%. The CHASE is a reliable and valid questionnaire for assessing self-efficacy in performing daily activities, socializing, managing headache symptoms and triggers, and guiding treatment plans for patients with CDH.

Visualizing Wound Healing: Integrating Clinical Imaging with Nursing Practices for Enhanced Outcomes

Wound healing (WH) is an extraordinary biological process that encompasses the management of injuries, tissue repair, and the restoration of the integrity of the skin and surrounding tissues. This process plays a crucial role as a defensive barrier, preventing infections and injuries and maintaining homeostasis. A normal wound progresses through a series of stages, including hemostasis, inflammation, proliferation, and remodeling, within a specific timeframe. This type of wound is known as an acute wound. However, when the healing process is delayed or interrupted at any stage, the wound becomes chronic. Several factors can influence WH, such as physiological factors like age, gender, and oxygen levels; pathological conditions such as diabetes, cancer, and obesity; and lifestyle factors including poor hygiene, smoking, and alcohol consumption. If a chronic wound is not properly managed, it can lead to further complications, such as an increased risk of infection, higher morbidity, and even mortality. The role of healthcare, particularly the nurse, in wound care is to monitor the case, handle it, and reduce complications. Therefore, it is essential to optimize nursing practices and ensure adherence to guidelines, keeping up with their continuous updates. Visualizing WH is a crucial aspect of wound care, enabling effective monitoring and evaluation of the healing process. This review explores the theoretical perspectives and practical applications of clinical imaging in wound assessment. Techniques such as 3D scanning, ultrasound imaging, and visual documentation are highlighted for their role in tracking wound characteristics, diagnosing complications, and guiding treatment plans. Emphasis is placed on integrating advanced technologies with nursing practices to enhance patient outcomes. By combining theoretical frameworks with innovative imaging methods, this study underscores the importance of visual tools in improving the understanding and management of WH.

A Hybrid Transformer-Convolutional Neural Network for Segmentation of Intracerebral Hemorrhage and Perihematomal Edema on Non-Contrast Head Computed Tomography (CT) with Uncertainty Quantification to Improve Confidence.

Intracerebral hemorrhage (ICH) and perihematomal edema (PHE) are key imaging markers of primary and secondary brain injury in hemorrhagic stroke. Accurate segmentation and quantification of ICH and PHE can help with prognostication and guide treatment planning. In this study, we combined Swin-Unet Transformers with nnU-NETv2 convolutional network for segmentation of ICH and PHE on non-contrast head CTs. We also applied test-time data augmentations to assess individual-level prediction uncertainty, ensuring high confidence in prediction. The model was trained on 1782 CT scans from a multicentric trial and tested in two independent datasets from Yale (n = 396) and University of Berlin Charité Hospital and University Medical Center Hamburg-Eppendorf (n = 943). Model performance was evaluated with the Dice coefficient and Volume Similarity (VS). Our dual Swin-nnUNET model achieved a median (95% confidence interval) Dice = 0.93 (0.90-0.95) and VS = 0.97 (0.95-0.98) for ICH, and Dice = 0.70 (0.64-0.75) and VS = 0.87 (0.80-0.93) for PHE segmentation in the Yale cohort. Dice = 0.86 (0.80-0.90) and VS = 0.91 (0.85-0.95) for ICH and Dice = 0.65 (0.56-0.70) and VS = 0.86 (0.77-0.93) for PHE segmentation in the Berlin/Hamburg-Eppendorf cohort. Prediction uncertainty was associated with lower segmentation accuracy, smaller ICH/PHE volumes, and infratentorial location. Our results highlight the benefits of a dual transformer-convolutional neural network architecture for ICH/PHE segmentation and test-time augmentation for uncertainty quantification.

Standardization of hemoglobin A2 and hemoglobin F: Achievements and perspectives.

The establishment of reference systems for the standardization of hemoglobin A2 (HbA2) and fetal hemoglobin (HbF), both critical for improving diagnostic accuracy in conditions such as β-thalassemia and sickle cell disease, are described. Efforts were led by the IFCC and other groups to address and reduce the variability in laboratory measurements of these hemoglobins. This document outlines the production of certified reference materials (CRMs) for HbA2 and the development of a reference measurement procedure using isotope dilution mass spectrometry. Similarly, standardizing HbF is essential for supporting diagnostic and therapeutic strategies, particularly in managing sickle cell disease. HbF levels can predict disease outcomes and guide treatment plans. Significant challenges remain in achieving consistent measurement across laboratories, and the process for standardization for this minor hemoglobin has just begun. We are confident that the implementation of these reference systems will provide improved accuracy and traceability in the future.

When does annual geriatric hip fracture mortality revert to baseline?

Geriatric hip fracture patients exhibit high mortality post-injury. It's unclear if and when mortality reverts to baseline. We therefore ask, When, if ever, does the mortality rate of geriatric hip fracture revert to the population-wide baseline rate? How does the mortality rate after geriatric hip fracture compare to the population norms? Understanding this timeline is crucial for assessing disease burden and guiding treatment plans. A cohort of 17,868 male patients aged 65-89 years treated for hip fracture within the VA healthcare system was studied. Patients were grouped by age at the time of fracture, and age-specific fractional survival was assessed annually for 10 years. For a comparison control group, a virtual cohort of 17,868 individuals, mirroring the age distribution of the patient group, was created and reduced over 10 cycles according to Social Security Administration expected mortality statistics. The year-one mortality rate among fracture patients was 35.4%, compared to 6.3% in age-matched controls. By year ten, only 8.5% of the fracture patients remained alive, vs. 39.8% in the general population. The annual risk of dying for patients who survived past the first year was consistently in the range 19%-21% for all subsequent years. Hip fracture patients who survive the initial injury are still subject to annual mortality risk of approximately 20%, an elevation above population norms persisting for at least a decade. The data underscores the severity of geriatric hip fractures, and suggest that focusing one- or two-year survival rates may not fully capture the severity of the injury.

Feasibility and Acceptability of Providing Cognitive Remediation in a Large USA System of Coordinated Specialty Care for Early Psychosis.

Multinational treatment guidelines support providing cognitive remediation to people recently diagnosed with schizophrenia, but the feasibility of implementing the treatment on a large scale is less well understood. This study took place between 2019 and 2023 at 14 clinics within a large network of programs providing early intervention services to people aged 16-30 experiencing nonaffective psychosis. Clinics were randomly assigned to deliver cognitive remediation as twice-weekly clinician-led groups (N = 5), cognitive remediation as once-weekly clinician-led groups with homework (N = 6), or treatment as usual (N = 3). All clinics screened for cognitive health need to guide treatment planning. Clinical teams (N = 11) received training to provide cognitive remediation. Program evaluation data were analysed for feasibility and acceptability. Screening for cognitive health needs was completed on 77% of the 1193 participants enrolled at the 11 clinics offering cognitive remediation. Clinicians identified cognitive difficulties in 53.9% (n = 496) of screened participants and referred 27% (n = 134) of these participants to cognitive remediation. Of referred participants, 77.6% (n = 104) initiated treatment, and n = 41 completed the treatment. The rate of referral was nearly double, and treatment initiation was significantly higher at programs delivering once-weekly (84.3%) than twice-weekly (64.4%) treatment but the difference in the rate of treatment completion was statistically nonsignificant. Satisfaction among treatment completers was high. Referrals to cognitive remediation required systemic support of a feasible cognitive health screening process. About a quarter of people with clinician-identified cognitive health needs were referred to cognitive remediation. Feasibility data suggest a flexible model of treatment delivery may facilitate implementation in this service setting.

Role of Advanced Magnetic Resonance Imaging in Differentiating among Glioma Subtypes and Predicting Tumor-Proliferative Behavior

Abstract Objective Gliomas are a devastating and heterogeneous group of primary brain tumors. Previously, the source of glioma was undetermined. Recent literature indicates that neural stem cells, or progenitors, are proposed to be the source of glioma. The prognosis of different types of gliomas differs due to their various biological tissue types. Besides the histological grade, the two useful immunohistochemistry markers that show the tumor's biological behavior are isocitrate dehydrogenase (IDH) labeling and the Ki-67 labeling index. We sought to determine the magnetic resonance imaging (MRI) characteristics associated with IDH mutational status and ascertain whether MRI combined with IDH mutational status, can better predict the clinical outcomes of gliomas. Materials and Methods This period study was conducted in the Department of Radiology, Sri Ramachandra Institute of Higher Education and Research, Chennai, Tamil Nadu, India for 5 years (May 2016–May 2021). The study cohort included 30 patients diagnosed with gliomas who underwent preoperative MRI followed by surgical resection and histopathological examination. Preoperative MRI images were done to assess qualitative tumor characteristics such as location, margin of tumor, extent, cortical involvement, cystic component, mineralization or hemorrhage, and contrast enhancement. Discussion Differences in MRI features between IDH-mutant (MT) and IDH-wild-type (WT) groups were analyzed using the chi-square test for categorical variables and the Mann–Whitney U test for continuous variables. Statistical analysis was conducted using SPSS software. Results Among the 30 patients evaluated, 18 had IDH-WT and 12 had IDH-MT type gliomas. Male predominance (73.33%) was noted in our study. Brainstem location, indistinct borders (83.33%), less cortical involvement (72.22%), less cystic changes (88.89%), more area of necrotic component (44.44%), significantly increased choline/creatine (Cho/Cr) ratio, and choline/N-acetyl aspartate (Cho/NAA) ratio favors IDH-WT tumors. Positive T2-fluid-attenuated inversion recovery mismatch sign is more frequently seen in IDH-MT (7/12; 58.33%) tumors than in IDH-WT (4/18; 22.22%) tumors. Whereas well-defined contours (66.67%), more cortical involvement (83.33%), more cystic changes (58.33%), and less area of necrotic component favor IDH-MT type tumors. Conclusion MRI is a very promising and valuable tool for differentiating among glioma subtypes and predicting tumor-proliferative behavior in glioma cases. The combination of MRI characteristics with IDH mutation status enhances the predictive accuracy for clinical outcomes in glioma patients. This approach could potentially guide treatment planning and improve prognostic assessments.

Preliminary assessment of a robotic system for overground gait in children with cerebral palsy

PurposeCerebral palsy is one of the leading causes of chronic disability in children. The current pilot study investigated (1) whether an exoskeleton system enables physiological gait patterns and (2) whether the system is user-friendly enough to envision its use in a clinical setting.Design/methodology/approachParticipants included a convenience sample of six children with cerebral palsy. Following informed consent, study volunteers underwent baseline assessments, participated in eight sessions during which they used the exoskeleton system with the objective of achieving proficiency in use of the system, and underwent an end-of-study assessment of walking. Satisfaction and usability questionnaires were given to the family/caregiver.FindingsAll participants achieved a more regular gait pattern and improved their 6-Minute Walk Test scores. Overall satisfaction and usability were rated as good.Practical implicationsThe exoskeleton system enabled physiological gait patterns, and the system was user-friendly enough to envision its use in a clinical setting.Originality/valueThere is potential for guiding treatment plans for individuals with cerebral palsy.

Complex posttraumatic stress disorder (CPTSD) is uniquely linked to suicidality beyond posttraumatic stress disorder (PTSD) in adults with childhood maltreatment: A multinational study across four countries

BackgroundSuicide is a leading cause of death worldwide, with childhood maltreatment identified as a significant risk factor for suicidal behavior in adulthood. The link between childhood maltreatment and suicidality is well-documented; however, the role of complex posttraumatic stress disorder (CPTSD), which includes an additional symptom cluster of disturbances in self-organization (DSO) compared to posttraumatic stress disorder (PTSD), remains underexplored. This study aimed to investigate the association between meeting the criteria for ICD-11 PTSD or CPTSD and suicidality in adults with a history of childhood maltreatment across culturally diverse samples. MethodsData were collected across four sites: the United States, the United Kingdom, China, and Malaysia. The Childhood Trauma Questionnaire (CTQ), Suicidal Behaviors Questionnaire-Revised (SBQ-R), and International Trauma Questionnaire (ITQ) were used to assess childhood maltreatment, suicidality, and PTSD or CPTSD, respectively. Linear regressions were conducted to examine the associations, controlling for demographic variables (age, sex, ethnicity, educational level, and subjective socioeconomic status) as well as the severity of maltreatment (CTQ total scores). ResultsAmong the 1324 participants who experienced childhood maltreatment, meeting the criteria for CPTSD was significantly associated with higher suicidality compared to not meeting the criteria for either PTSD or CPTSD (B(SE) = 1.68 (0.30), p < .001), or only meeting the criteria for PTSD (B(SE) = 1.38 (0.43), p < .001). In contrast, meeting the criteria for PTSD alone was not significantly associated with suicidality (B(SE) = 0.35 (0.46), p = .45). These associations remained consistent across different cultural settings. ConclusionThe study findings highlight the unique association of CPTSD with suicidality in adults with a history of childhood maltreatment, suggesting that the DSO symptom cluster of CPTSD, which distinguish it from PTSD, play a critical role in the development of suicidality in this population. Targeting these symptoms may be essential for effective intervention strategies. Screening for childhood maltreatment and CPTSD in individuals at risk of suicide is crucial for guiding treatment planning.

Visual Field Patterns in Optic Neuropathy

The optic nerve is susceptible to a wide variety of pathological processes. In optic neuropathy, quantitative visual field analysis using standard automated perimetry is critical in initial diagnosis, monitoring disease progression, and guiding treatment plans. While acquired visual field defects may progress rapidly, congenital visual field defects may not progress or may progress slowly. Although the most common defect in congenital or acquired optic neuropathy is the central defect, many defect types that are not pathognomonic to the disease can be seen. In ischemic optic neuropathy, which is common among optic neuropathies, arcuate defect and central defect are usually seen. In disc disorders with localized nerve damage, such as optic disc coloboma or optic pit, localized defects such as arcuate scotoma or cecocentral scotoma in which the fixation point is preserved may be observed. Papilledema causes peripapillary fluid accumulation and an enlarged blind spot in the perimetry. In compressive optic neuropathies, non-specific defects such as central and subtudinal defects may be observed, as well as quadrant defects such as hemianopsia and quadrionopsia. Studies show that the combined use of optical coherence tomography and standard automated perimetry to determine structure-function relationships improves clinical care in neuro-ophthalmic disorders.

Pharmacogenomics revolutionizing cardiovascular therapeutics: A narrative review.

Among the cardiovascular diseases (CVDs), heart failure, hypertension, and myocardial infarction are associated with the greatest number of disability-adjusted life years due to lifestyle changes and the failure of therapeutic approaches, especially the one-size-fits-all interventions. As a result, there has been advances in defining genetic variants responsible for different responses to cardiovascular drugs such as antiplatelets, anticoagulants, statins, and beta-blockers, which has led to their usage in guiding treatment plans. This study comprehensively reviews the current state-of-the-art potential of pharmacogenomics in dramatically altering CVD treatment. It stresses the applicability of pharmacogenomic technology, the threats associated with its adoption in the clinical setting, and proffers relevant solutions. Literature search strategies were used to retrieve articles from various databases: PubMed, Google Scholar, and EBSCOhost. Articles with information relevant to pharmacogenomics, DNA variants, cardiovascular diseases, sequencing techniques, and drug responses were reviewed and analyzed. DNA-based technologies such as next generation sequencing, whole genome sequencing, whole exome sequencing, and targeted segment sequencing can identify variants in the human genome. This has played a substantial role in identifying different genetic variants governing the poor response and adverse effects associated with cardiovascular drugs. Thus, this has reduced patients' number of emergency visits and hospitalization. Despite the emergence of pharmacogenomics, its implementation has been threatened by factors including patient compliance and a low adoption rate by clinicians. Education and training programs targeting both healthcare professionals and patients should be established to increase the acceptance and application of the emerging pharmacogenomic technologies in reducing the burden of CVDs.

Single Fraction Radiosurgical Tolerance of Brainstem, Trigeminal Nerve, and Meckel's Cave for Facial Numbness

IntroductionThe purpose of this article is to review toxicity outcomes for a series of patients treated with stereotactic radiosurgery (SRS) for trigeminal neuralgia, focusing on dose to the brainstem, trigeminal nerve, and Meckel's cave as possible explanatory variables for the development of the most common post-treatment neuropathy, facial numbness. MaterialsA retrospective review of 136 cases treated with Cyberknife radiosurgery for trigeminal neuralgia was performed. Dose was initially (cohort 1) prescribed to 57 to 64 Gy covering a 6mm cylindrical shaped target volume at least 2mm from the dorsal root entry zone (DREZ). Subsequently a deliberate change to isocentric treatment planning occurred, resulting in delivery of 85 Gy to a spherical target (cohort 2). Brainstem, trigeminal nerve, and Meckel's cave were contoured and a variety of dosimetric and clinical factors were analyzed for association with development of treatment related facial numbness. ResultsTreatment-related numbness occurred in 59/136 (43%) patients and did not differ between the treatment cohorts. Fifty-two patients experienced BNI grade II toxicity, and 7 patients experienced BNI grade III toxicity. Time to numbness was 16.0 months for cohort 1 and 10.4 months for cohort 2 (p=0.184). The median brainstem maximum dose was 26.1 Gy, ranging from 4.2 Gy to 57.3 Gy. Maximum dose to the trigeminal nerve was 85 Gy. Mean trigeminal nerve dose was 47.3 Gy. The median Meckel's cave maximum and mean doses were 26.0 Gy and 6.8 Gy, respectively. No definitive upper limit dose threshold was detected for the structures analyzed, but trends were noted for maximum trigeminal nerve dose of 85 Gy (p=0.083) and for prescription dose (p=0.057) and trigeminal nerve V40 (p=0.077) in the Type I subset. ConclusionsBrainstem, trigeminal nerve, and Meckel's cave tolerated doses within the range delivered. Discussion of the literature is provided to guide treatment planning and management.

Serial Case of CT Scan Imaging in Fracture of Midface Region

Background: Fractures in the face region are frequently seen in motor vehicle accidents, as the face is highly exposed during such incidents. Motor vehicle accidents are common in Bali, with fracture of the face region is the 2nd most common injury found in radiologic examination. Computed tomography (CT) scans are crucial for assessing these fractures, allowing for an accurate evaluation of severity to plan the patient treatment. Case: We present serial cases CT scan images of complex midface fractures such as Le Fort, tripod, NOE and orbital wall fracture and its characteristic imaging on CT-imaging. Conclusions: CT scan may guide treatment plans aimed at minimizing disability and enhancing the patient's quality of life. Understanding the imaging characteristics of midface fractures is thus essential for effective diagnosis and management.

Patterns of Locoregional Pancreatic Cancer Recurrence After Total Neoadjuvant Therapy and Implications on Optimal Neoadjuvant Radiation Treatment Volumes

PurposeThis study aimed to generate a map of local recurrences after neoadjuvant chemotherapy and radiation (total neoadjuvant therapy [TNT]) followed by surgical resection for pancreatic ductal adenocarcinoma (PDAC). Such recurrence patterns will serve to inform radiation treatment planning volumes that should be given in the neoadjuvant setting. Methods and MaterialsLocoregional recurrences after TNT followed by surgery treated between 2009 and 2022 were radiologically identified. Recurrences were individually segmented using MIM software and complied in a single base scan. All contour compilations were used to create a threshold contour encompassing 80% of recurrences among all patients, head only, and body/tail only. The distance between organs at risk and the threshold contour were measured to design an optimal clinical target volume contour for patients treated with TNT. Recurrence patterns were also compared with existing adjuvant guidelines to assess coverage. ResultsA database of 474 patients managed with TNT for PDAC was queried. While locoregional recurrences were rare in this cohort, we identified 80 patients with either isolated locoregional or simultaneous local and distant recurrences. Patients with diagnostic imaging at the time of recurrence were identified. The majority of recurrences were partially in the field of published contouring guidelines or volumetric expansions off of vessels, and volumetric coverage was low for all. Common areas of recurrence include the aorticodiaphragmatic junction, retropancreatic duodenal nodal basin, and the region to the right of the superior mesenteric artery. A novel set of proposed neoadjuvant contours was designed to cover the central-most 80% of recurrences. ConclusionsThis is the largest collection of local/regional PDAC recurrences from a cohort of patients treated exclusively with TNT. Patterns of local/regional recurrence using TNT in PDAC vary significantly from those patients with PDAC treated with a surgery-first approach. Novel contouring guidelines presented in this study can help to ensure optimal coverage of high risk regions and avoid reliance on the current adjuvant guidelines to guide treatment planning.

Overview of Unilateral and Bilateral Pediatric Facial Paralysis: Workup, Treatment, and Frontiers.

Pediatric facial nerve paralysis can present significant challenges based on its various etiologies, unique approach to treatment options, and overall outcomes. It can impact both the child and parent when regarding function, appearance, and psychosocial implications. The etiology of facial nerve palsy can include congenital, traumatic, iatrogenic, and idiopathic causes. In some, the paralysis is transient while others have permanent loss of function. A thorough evaluation and differential diagnosis are essential to guide treatment planning. The purpose of this paper is to review facial paralysis in children with a focus on surgical management.

The Use of the Severity Dependence Scale (SDS) as an Outcome in Studies of Alcohol and Other Drug Use a Systematic Review

Introduction: The Severity Dependence Scale (SDS) is a validated measure of the severity of dependence on alcohol or drugs. SDS scores can be used to guide treatment planning, monitor progress, and evaluate treatment outcomes. Objectives: We aimed to review studies that analysed SDS as an outcome in studies of alcohol and drug use (AoD), with a particular focus on the methodology used to examine the changes in SDS. Methods: The search was performed using the literature databases Embase, PubMed and Medline. Articles were included when the outcome was SDS in AoD. Studies that examined SDS, but not among the AoD population, studies that reported SDS as predictors, qualitative research, study protocols, conference papers, and studies in non-English language were excluded. Results: Among 179 articles identified, 15 were included in the systematic review. Two studies conducted cannabis research, two for methamphetamine, one for cannabis and amphetamine, one for cocaine, one for ketamine, one for ecstasy and seven for general illicit drugs. Out of 15 studies, ten used the t-test for statistical analysis of the SDS, one used a generalised estimating equation, one used a Spearman non-parametric test, and one used a linear mixed model, one reported the baseline score for the SDS and did not report the SDS at follow-up, one reported a descriptive analysis of the SDS. Conclusions: In the absence of a standardised cut-off score and a minimal important difference, more attention should be paid in analysing the discrete scale of the SDS to ensure analysis accuracy.