Automated confidence estimation in deep learning auto-segmentation for brain organs at risk on MRI for radiotherapy.

PURPOSE: We have built a novel AI-driven QA method called AutoConfidence (ACo), to estimate segmentation confidence on a per-voxel basis without gold standard segmentations, enabling robust, efficient review of automated segmentation (AS). We have demonstrated this method in brain OAR AS on MRI, using internal and external (third-party) AS models. METHODS: Thirty-two retrospectives, MRI planned, glioma cases were randomly selected from a local clinical cohort for ACo training. A generator was trained adversarialy to produce internal autosegmentations (IAS) with a discriminator to estimate voxel-wise IAS uncertainty, given the input MRI. Confidence maps for each proposed segmentation were produced for operator use in AS editing and were compared with "difference to gold-standard" error maps. Nine cases were used for testing ACo performance on IAS and validation with two external deep learning segmentation model predictions [external model with low-quality AS (EM-LQ) and external model with high-quality AS (EM-HQ)]. Matthew's correlation coefficient (MCC), false-positive rate (FPR), false-negative rate (FNR), and visual assessment were used for evaluation. Edge removal and geometric distance corrections were applied to achieve more useful and clinically relevant confidence maps and performance metrics. RESULTS: ACo showed generally excellent performance on both internal and external segmentations, across all OARs (except lenses). MCC was higher on IAS and low-quality external segmentations (EM-LQ) than high-quality ones (EM-HQ). On IAS and EM-LQ, average MCC (excluding lenses) varied from 0.6 to 0.9, while average FPR and FNR were ≤0.13 and ≤0.21, respectively. For EM-HQ, average MCC varied from 0.4 to 0.8, while average FPR and FNR were ≤0.37 and ≤0.22, respectively. CONCLUSION: ACo was a reliable predictor of uncertainty and errors on AS generated both internally and externally, demonstrating its potential as an independent, reference-free QA tool, which could help operators deliver robust, efficient autosegmentation in the radiotherapy clinic.

[Securing the management of medicines at risk in a geriatric hospital: A comprehensive approach]. / La prise en charge des médicaments à risque dans un hôpital gériatrique.

High-risk drugs, which are potentially a source of serious adverse reactions, are a major concern in healthcare establishments, particularly for geriatric patients, who often have multiple medications and co-morbid conditions. With a view to continuously improving the quality and safety of care, we have embarked on a proactive approach aimed at identifying, securing and improving the management of medicines at risk in geriatric wards.

Inter-fraction motion robustness in a prospective phase II trial on dose-escalated proton reirradiation for locally recurrent rectal cancer.

Background and purpose: Intensity modulated proton therapy (IMPT) enables generation of conformal dose plans with organ at risk (OAR) sparing potential. However, pelvic IMPT robustness is challenged by inter-fraction motion caused by constant anatomical variations. In this study, the dosimetric impact of inter-fraction motion on target coverage and dose to OAR was quantified in the prospective phase II study ReRad-II on dose-escalated proton reirradiation for locally recurrent rectal cancer (LRRC). Materials and methods: The inter-fraction motion robustness was assessed for the initial twelve patients enrolled in the ReRad-II study. Patients with resectable LRRC were assessed for neoadjuvant IMPT (55 Gy(RBE)/44Fx) and unresectable recurrences for definitive IMPT (57.5-65 Gy(RBE)/ 46-52Fx). Target coverage and dose to OAR were assessed for robustly optimised three-field IMPT, on 12 plan computerized tomography (CT) scans (pCT) - and 47 repetitive control CT scans (cCTs) during the treatment. The target coverage and doses to OAR were re-calculated on each cCT and the mean dose ratio (pCT/cCT-ratio) and target coverage (V95%) was evaluated. Results: The target coverage was robust with a mean dose pCT/cCT-ratio of 1.00 (+/-1%). The V95% target coverage for every cCT were above the accepted worst-case scenario in the robust evaluation. Considerable variation in bladder-, bowel bag-, and bowel loop volume was observed. The OAR with the largest variation in ratio was the bladder (pCT/cCT-ratio: 1.3 (range: 0.5-4.7). Conclusions: IMPT for dose-escalated reirradiation of LRRC provided anatomically robust target coverage despite OAR changes. Inter-fraction motion resulted in OAR doses varying within clinically acceptable range.

Clinical evaluation of the convolutional neural network­based automatic delineation tool in determining the clinical target volume and organs at risk in rectal cancer radiotherapy.

Delineating the clinical target volume (CTV) and organs at risk (OARs) is crucial in rectal cancer radiotherapy. However, the accuracy of manual delineation (MD) is variable and the process is time consuming. Automatic delineation (AD) may be a solution to produce quicker and more accurate contours. In the present study, a convolutional neural network (CNN)-based AD tool was clinically evaluated to analyze its accuracy and efficiency in rectal cancer. CT images were collected from 148 supine patients in whom tumor stage and type of surgery were not differentiated. The rectal cancer contours consisted of CTV and OARs, where the OARs included the bladder, left and right femoral head, left and right kidney, spinal cord and bowel bag. The MD contours reviewed and modified together by a senior radiation oncologist committee were set as the reference values. The Dice similarity coefficient (DSC), Jaccard coefficient (JAC) and Hausdorff distance (HD) were used to evaluate the AD accuracy. The correlation between CT slice number and AD accuracy was analyzed, and the AD accuracy for different contour numbers was compared. The time recorded in the present study included the MD time, AD time for different CT slice and contour numbers and the editing time for AD contours. The Pearson correlation coefficient, paired-sample t-test and unpaired-sample t-test were used for statistical analyses. The results of the present study indicated that the DSC, JAC and HD for CTV using AD were 0.80±0.06, 0.67±0.08 and 6.96±2.45 mm, respectively. Among the OARs, the highest DSC and JAC using AD were found for the right and left kidney, with 0.91±0.06 and 0.93±0.04, and 0.84±0.09 and 0.88±0.07, respectively, and HD was lowest for the spinal cord with 2.26±0.82 mm. The lowest accuracy was found for the bowel bag. The more CT slice numbers, the higher the accuracy of the spinal cord analysis. However, the contour number had no effect on AD accuracy. To obtain qualified contours, the AD time plus editing time was 662.97±195.57 sec, while the MD time was 3294.29±824.70 sec. In conclusion, the results of the present study indicate that AD can significantly improve efficiency and a higher number of CT slices and contours can reduce AD efficiency. The AD tool provides acceptable CTV and OARs for rectal cancer and improves efficiency for delineation.

The effects of folk-dance in schools on physical and mental health for at-risk adolescents: a pilot intervention study.

We present the findings from a pilot study to evaluate the effects of a six-week adapted folk-dance intervention on physical and mental health for at-risk adolescents conducted in schools. At-risk adolescents are at particular risk for sedentary behavior, poor mental health, and lower quality of life, and are likely to benefit from motivating and health-promoting activities such as dance. However, it can be challenging to conduct and evaluate evidence-based interventions with this population. We conducted a convergent parallel mixed-method design using pre-post measures of mental well-being, as well as pre-post measures using inertial measurement units to assess physical activity during a 6-week adapted folk-dance intervention. At the completion of the study, we conducted semi-structured interviews with all stakeholder groups. We observed significant improvements in mental well-being, as indicated by increased WEMWBS and MHC-SF scores, while the UCLA score showed no significant change, with these outcomes independent of age and gender. Furthermore, at-risk adolescents reduced the time spent in stationary/resting position, while their heart rates were also reduced by ∼15% in such conditions. Our results suggest that at-risk youth who participated in adapted folk-dance became more enthusiastic and showed more willingness to move over the course of the intervention. Quantitative results were supported by interviews, which found that participants responded positively to the adapted folk-dance classes, and reported both elevated physical exertion and high levels of enjoyment. The mixed-method research design also provided insights into the suitability of data collection methods for this hard-to-reach population. We report on these outcomes, including best practices for working within schools on health-promoting physical activities.

Getting help early: An online mental health self-assessment tool for young people.

BACKGROUND: Online self-assessments are becoming more popular. They can serve as a screening tool for specific conditions or assess mental health more broadly but often lack in depth evaluation. METHODS: This study presents preliminary data from an online self-assessment tool for young people within the age range of 12-30 years (Link: redcap.hmri.org.au/surveys/?s = MK7RCELJ79). It covers key symptoms of mood and psychotic disorders and risk factors, such as eating issues, substance use, suicidality, and deliberate self-harming behaviours. Participants self-assessed their level of functioning, access to ongoing interventions, and satisfaction with the help received. Based on the severity of mental health problems and the level of risk, different recommendations of how to seek help were provided. RESULTS: Out of 303, 114 participants gave permission to analyse their data. A high-risk profile was defined by anxiety symptoms, panic attacks, suicidal ideation, and urges to self-harm. These individuals were more likely to report psychotic or depression symptoms, recreational substance use and low day-to-day functioning. Ongoing treatment and the satisfaction with it were not determined by the severity of symptoms. CONCLUSIONS: These preliminary results suggest that the online self-assessment tool reaches the intended young audience, particularly those with some degree of mental health problems.

Online self-assessments are becoming more popular particularly with young people. They can serve as a screening tool to assess mental health. We developed a new online self-assessment tool for young people 12 to 30 years of age (Link: redcap.hmri.org.au/surveys/?s=MK7RCELJ79). It covers key symptoms of mood and psychotic disorders and risk factors, such as eating issues, substance use, suicidality, and deliberate self-harming behaviours. The tool also asks for a self-assessment of their level of functioning, their access to professional help, and their satisfaction with the help received. The assessment concludes with recommendations how to seek help dependent on the severity of their mental health problems and level of risk. We had 303 young people visiting the tool and 114 gave permission to analyse their data. Young people with anxiety symptoms, panic attacks, suicidal ideation, and urges to self-harm were considered at high risk. They more likely to report psychotic or depression symptoms and recreational substance use and low day-to-day functioning. Ongoing treatment and the satisfaction with it were not determined by the severity of mental health problems. These preliminary results suggest that the online self-assessment tool reaches the intended young audience, particularly those with mental health problems.

Telehealth general case parent training for children at risk for autism.

Parent-mediated interventions for infants and young children with an increased likelihood of autism may help ameliorate developmental concerns; however, generalization of parents' teaching strategies to novel child target skills has not been consistently demonstrated. This study expanded our parent training program, Parent Intervention for Children at-Risk for Autism (PICARA), by incorporating telehealth general case training (PICARA-TGCT) to promote generalization of teaching skills. Five parent-child dyads participated. Child target skills were chosen from the categories of imitation, receptive language, and expressive language. A concurrent multiple-baseline-across-participants design was used to evaluate the effect of training across two cohorts of parent-child dyads. Dependent variables included the percentage of correct parent teaching skills and the percentage of child correct responses. Parent teaching skills increased across all participants for both trained and untrained child target skills, as did child skills. This study provides support for PICARA-TGCT as an efficacious and efficient early intervention model.

GoEnrich: creating high quality genomic DNA resources from limited voucher specimen tissues or museum specimens of at-risk species for conservation-friendly use in the validation of environmental DNA assays.

OBJECTIVE: Environmental DNA (eDNA) methods are crucial for monitoring populations, particularly rare and cryptic species. For confident eDNA application, rigorous assay validation is required including specificity testing with genomic DNA (gDNA). However, this critical step is often difficult to achieve as obtaining fresh tissue samples from at-risk species can be difficult, highly limited, or impossible. Natural history museum collections could serve as a valuable and ethical voucher specimen resource for eDNA assay validation. The present study demonstrates the effectiveness of whole genome amplification (WGA) in providing enough gDNA to assemble high quality mitogenomes from which robust targeted eDNA assays can be designed. RESULTS: Using fresh and historical museum tissue samples from six species spanning fish, birds, and mammals, we successfully developed a WGA method with an average yield of 380 to 1,268 ng gDNA per 20 µL reaction. This gDNA was used for whole genome shotgun sequencing and subsequent assembly of high quality mitogenomes using mtGrasp. These mitogenomes were then used to develop six new robust, targeted quantitative real time polymerase chain reaction-based eDNA assays and 200 ng WGA-enriched yielded satisfactory Cq values and near 100% detection frequencies for all assays tested. This approach offers a cost-effective and non-invasive alternative, streamlining eDNA research processes and aiding in conservation efforts.

Unexpected Infective Endocarditis: Towards a New Alert for Clinicians.

Despite the clear indications and worldwide application of specific guidelines, the recognition of Infective Endocarditis (IE) may be challenging in day-to-day clinical practice. Significant changes in the epidemiological and clinical profile of IE have been observed, including variations in the populations at risk and an increased incidence in subjects without at-risk cardiac disease. Emergent at-risk populations for IE particularly include immunocompromised patients with a comorbidity burden (e.g., cancer, diabetes, dialysis), requiring long-term central venous catheters or recurrent healthcare interventions. In addition, healthy subjects, such as skin-contact athletes or those with piercing implants, may be exposed to the transmission of highly virulent bacteria (through the skin or mucous), determining endothelial lesions and subsequent IE, despite the absence of pre-existing at-risk cardiac disease. Emergent at-risk populations and clinical presentation changes may subvert the conventional paradigm of IE toward an unexpected clinical scenario. Owing to its unusual clinical context, IE might be overlooked, resulting in a challenging diagnosis and delayed treatment. This review, supported by a series of clinical cases, analyzed the subtle and deceptive phenotypes subtending the complex syndrome of unexpected IE. The awareness of an unexpected clinical course should alert clinicians to also consider IE diagnosis in patients with atypical features, enhancing vigilance for preventive measures in an emergent at-risk population untargeted by conventional workflows.

Resting-state electroencephalogram in drug-free subjects with at-risk mental states who later developed psychosis: a low-resolution electromagnetic tomography analysis.

Background and objectives: Several studies have reported on the resting-state electroencephalogram (EEG) power in patients with schizophrenia, with a decrease in α (especially α2) and an increase in δ and ß1 power compared with healthy control; however, reports on at-risk mental states (ARMS) are few. In this study, we measured the resting-state EEG power in ARMS, and investigated its features and the relationship between the power of the frequency bands and their diagnostic outcomes. Methods: Patients with ARMS who were not on any psychotropic medication and met the Comprehensive Assessment of At-Risk Mental State criteria were included. Patients who developed psychotic disorders were labeled as the ARMS-P group, while patients with ARMS who were followed up prospectively for more than 2 years and did not develop psychotic disorders were classified as the ARMS-NP group. EEGs were measured in the resting state, and frequencies were analyzed using standardized low-resolution brain electromagnetic tomography (sLORETA). Seven bands (δ, θ, α1, α2, ß1-3) underwent analysis. The sLORETA values (current source density [CSD]) were compared between the ARMS-P and ARMS-NP groups. Clinical symptoms were assessed at the time of EEG measurements using the Positive and Negative Syndrome Scale (PANSS). Results: Of the 39 patients included (25 males, 14 females, 18.8 ± 4.5 years old), eight developed psychotic disorders (ARMS-P). The ARMS-P group exhibited significantly higher CSD in the ß1 power within areas of the left middle frontal gyrus (MFG) compared with the ARMS-NP group (best match: X = -35, Y = 25, Z = 50 [MNI coordinates], Area 8, CSD = 2.33, p < 0.05). There was a significant positive correlation between the ß1/α ratio of the CSD at left MFG and the Somatic concern score measured by the PANSS. Discussion: Increased ß1 power was observed in the resting EEG before the onset of psychosis and correlated with a symptom. This suggests that resting EEG power may be a useful marker for predicting future conversion to psychosis and clinical symptoms in patients with ARMS.

Genetic diagnosis of individuals at risk of CADASIL: prospect for future therapeutic development.

CADASIL is the most frequent hereditary cerebral small vessel disease worldwide. The disease is responsible for a slow and progressive accumulation of cerebral ischemic insults that lead to disabling cognitive and motor symptoms at late age. Although there is currently no cure for this condition, future therapies may concern subjects only at early stage of the disease. This will raise the question of the participation of asymptomatic carriers of pathogenic NOTCH3 gene mutation in future clinical trials, which will presuppose acceptance of presymptomatic genetic diagnosis. In this study, we questioned the population at risk of CADASIL who had not undergone a diagnostic procedure yet. Based on a questionnaire survey carried out by an independent team of sociologists, we analyzed what underlies the choice of people at risk to undergo or not to undergo a genetic test, and what could constitute the tipping point that could lead people who were initially not interested in their diagnosis to have recourse to it. Our results suggest that, far from being a simple, unequivocal path, the decision-making process leading to the choice of diagnosis is initially slowed down by the need to distance oneself from the disease so that it doesn't take over one's life, and then evolves under the influence of a complex tangle between advancing age, the presence of early symptoms, and the personal relationship with uncertainty. It cannot be ruled out that the real and imminent prospect of therapy may also modify responses to this type of survey.

Proton therapy for breast cancer: Reducing toxicity.

Radiotherapy is a crucial component in the holistic management of breast cancer, with approximately 60% of individuals diagnosed with breast cancer requiring this treatment. As the survival rate of individuals with breast cancer has significantly increased, there is a growing focus on the long-term well-being of patients. Proton therapy (PT) is a new and rapidly developing radiotherapy method. In comparison with conventional photon therapy, PT offers the benefits of decreased radiation toxicity and increased dosage in the designated region. This can extend patients' lifespan and enhance their overall well-being. The present analysis examines the function of PT in diminishing the harmful effects of radiation in cases of breast cancer, while also providing a brief overview of the future potential and obstacles associated with PT for breast cancer.

The Groundswell Community Surf Therapy Intervention for At-Risk Women and Changes in Body Acceptance, Resilience, and Emotional Regulation.

Background: Surf therapy combines physical activity with social support to provide a healing environment. Objective: This exploratory pre-to post-intervention study examined the effects of a novel surf therapy program for women who experienced abuse, trauma, and/or mental illness on emotional regulation, resilience, body acceptance, and gratitude. Methods: Twenty-seven women (ages 25 to 54; mean 36.32 + SD 7.79) participated in an 8-week Groundswell Surf Therapy Program held in four different coastal cities in California. Standardized self-report questionnaires were administered prior to and following the therapy program, including the Body Acceptance Scale, the Connor-Davidson Resilience Scale (CD-RISC), the Affective Style Questionnaire, and the Gratitude Questionnaire-Six-Item Form (GQ-6) in a pre-post study design. Data were analyzed by repeated measures analysis of variance (ANOVA). Results: Body acceptance [P < 0.001; partial Eta squared = 0.472] and resilience were increased [P = 0.005; partial Eta squared = 0.319] following the surf therapy intervention. Emotional regulation was examined according to three subscales, with the adjust [P < 0.001; partial Eta squared = 0.397] and tolerate [P < 0.001; partial Eta squared = 0.299] subscales increasing following the intervention, and the conceal subscale [P = 0.459; partial Eta squared = 0.031] remaining unchanged. Gratitude scores were unchanged [P = 0.425; partial Eta squared = 0.026]. Conclusion: A surf therapy program rooted in somatic and trauma-informed models was associated with improved resilience, emotional regulation, and body acceptance in at-risk women.

From Adolescence to Adulthood: Understanding Care Trajectories in an Early Detection and Intervention Centre in France.

BACKGROUND: Psychiatric disorders often emerge during adolescence or young adulthood, leading to significant disability among youth. The transition from Child and Adolescent Mental Health Services (CAMHS) to Adult Mental Health Services (AMHS) is critical for individuals experiencing emerging psychopathology, with delayed access to care negatively impacting long-term outcomes. Accessing mental health services for adolescents and young adults is often complex and delayed due to challenges in service visibility, accessibility and appropriateness. METHODS: This study examines the care trajectories of individuals consecutively accessing the early detection and intervention (EDI) centre C'JAAD (Evaluation Centre for Young Adults and Adolescents) in Paris (France) over the year 2021. The main goal was to clarify the role of this EDI centre in the continuity of care and transition to AMHS. Data about their history of care, hospitalisations and referral sources were collected retrospectively. RESULTS: The sample comprised 194 individuals, with 57.2% males and a median age of 20 years. Most patients (67.5%) were ≥18 years old upon arrival, with 31% in a situation of not being in education, employment, or training (NEET). Over one-third (35.2%) had prior psychiatric hospitalisations. Patients were mainly referred to our EDI centre from other hospital departments (42.3%). Regarding care in CAMHS, 50.3% of the total sample had medical follow-up during childhood, of whom 41.9% had discontinued care upon arrival at the EDI centre. The median onset age of care in CAMHS was 14, with a median duration of 12 months. Adult patients experienced an approximately 3-year gap between the end of CAMHS care and assessment at the EDI centre. DISCUSSION: The sample's characteristics resemble those of other EDI centres, but concerns persist regarding referral timing and the NEET status of many youths. Lack of prior medical follow-up and challenges in transitioning to AMHS underscore the need to enhance care continuity and address difficulties in accessing care during the transition to adulthood.

Automated linguistic analysis in youth at clinical high risk for psychosis.

Identifying individuals at clinical high risk for psychosis (CHRP) is crucial for preventing psychosis and improving the prognosis for schizophrenia. Individuals at CHR-P may exhibit mild forms of formal thought disorder (FTD), making it possible to identify them using natural language processing (NLP) methods. In this study, speech samples of 62 CHR-P individuals and 45 healthy controls (HCs) were elicited using Thematic Apperception Test images. The evaluation involved various NLP measures such as semantic similarity, generic, and part-of-speech (POS) features. The CHR-P group demonstrated higher sentence-level semantic similarity and reduced mean image-to-text similarity. Regarding generic analysis, they demonstrated reduced verbosity and produced shorter sentences with shorter words. The POS analysis revealed a decrease in the utilization of adverbs, conjunctions, and first-person singular pronouns, alongside an increase in the utilization of adjectives in the CHR-P group compared to HC. In addition, we developed a machine-learning model based on 30 NLP-derived features to distinguish between the CHR-P and HC groups. The model demonstrated an accuracy of 79.6 % and an AUC-ROC of 0.86. Overall, these findings suggest that automated language analysis of speech could provide valuable information for characterizing FTD during the clinical high-risk phase and has the potential to be applied objectively for early intervention for psychosis.

Evaluating Oxidative Stress Markers in At-Risk Individuals for Bipolar Disorder: A Systematic Review and Meta-Analysis.

INTRODUCTION: Bipolar disorder (BD), a mood disorder with recurrent affective episodes and a strong genetic basis is frequently associated with significant comorbidities, both physical and psychiatric, yet its neurobiology remains unclear. Recent evidence underscores oxidative stress as a pivotal factor linking BD to its comorbidities, prompting an investigation into whether this is a sign of a genetic vulnerability or a consequence of the disease. In this study, we systematically reviewed oxidative stress studies conducted on individuals at risk for BD. We performed a meta-analysis on studies examining oxidative DNA damage in these individuals. METHODS: The literature was searched across the databases PubMed, Web of Science, Scopus, Ovid MEDLINE, and Cochrane to locate studies of oxidative stress markers in relatives of patients with BD compared with healthy controls (from 1946 to March 2024). Studies were considered for inclusion based on the following criteria: (i) involvement of first- or second-degree relatives of individuals diagnosed with BD, (ii) presence of a healthy control group, (iii) reporting of oxidative stress parameters for relatives, including mean and standard deviation or median and interquartile range (25-75%) values, and (iv) publication in the English language. Studies comparing the levels of 8-hydroxy-2'-deoxyguanosine (8-OH-dG) or its tautomer 8-oxo-7,8-dihydro-2'-deoxyguanosine (8-oxo-dG) in individuals at risk for BD with healthy controls were evaluated using a meta-analysis with the random-effects method. The risk of bias was evaluated using the Risk of Bias in Non-Randomized Studies of Exposure (ROBINS-E) tool. RESULTS: Eleven studies were included in the systematic review and four studies for the meta-analysis. The meta-analysis included 543 individuals (first-degree relatives of individuals with BD = 238, control = 305). 8-OH-dG levels were found to be increased in first-degree relatives of individuals with BD compared to healthy controls (random effects: Hedges's g = 0.53, 95% CI = 0.36-0.71, p < 0.001). Findings of oxidative stress markers other than oxidative DNA damage in relatives of individuals with BD are limited and scarce. CONCLUSION: In this meta-analysis, which consists of a limited number of studies, oxidative DNA damage seems to be a trait marker for BD. This finding could be associated with increased comorbidity and a higher risk of premature aging in individuals at risk for BD. However, further studies with larger sample sizes and longitudinal designs are warranted to confirm findings. Clarifying the changes in these markers from individuals at risk for the disorder throughout the course of the illness would help bridge the gap in understanding the role of oxidative pathways in the risk of BD.

Urban children at risk of violence: A qualitative study of experiences of parents, teachers, and service providers of collaborative support.

Children who are at risk of involvement in violence need assistance from multisector agencies such as social services, law enforcement, health, and education. The aim of this study was to understand the perceptions and experiences of parents, teachers, and service providers (i.e., counselors, psychologists, paralegals, and social workers) on collaborative support for children at risk of violence in Banda Aceh, Indonesia. Twenty-four structured interviews were conducted with ten parents whose children were victims of sexual or physical abuse or were involved in substance abuse and theft and have received support from the Integrated Service Center for the Empowerment of Women and Children in Banda Aceh, Indonesia; ten service providers; and four teachers who either worked with the concerned children or knew them. Using a thematic analysis approach, the data was systematically coded and analyzed to identify important themes. Most parents who sought help or support from governmental agencies were referred by other service providers or recommended by relatives or friends. Parents hesitated to discuss their children's problems with the teachers, worrying about stigma, particularly for sexual abuse victims. The school's lack of collaboration with external agencies was consistent with the teacher's claim that they seldom work with other agencies outside of school, resulting in a siloed system of care. It can be concluded that the biggest barrier to communication and coordination among parents, teachers, and service providers is the parents' and service providers' lack of willingness and confidence to work with teachers. Clear policies are needed to establish a cross-institutional linkage structure that promotes shared responsibilities.

The memory binding test can anticipate Alzheimer's disease diagnosis at an early preclinical stage: a longitudinal study in the INSIGHTpreAD cohort.

Introduction: Anticipating the diagnosis of Alzheimer's disease (AD) at an early asymptomatic at-risk stage, where therapeutics can more effectively delay conscious cognitive decline, is currently among the biggest challenges in the field. Herein, we aimed to compare the capacity of the Memory Binding Test (MBT) with the official diagnostic tool, the Free and Cued Selective Reminding Test (FCSRT), to anticipate AD diagnosis at an early preclinical stage based on the associative memory component of MBT (binding), suggested as more sensitive to the emergence of subtle episodic memory (EM) deficits (AD hallmark). Methods: We assessed the tests performance longitudinally (over 5 years) in 263 cognitively-normal elderly individuals at risk of AD (>6 months of subjective memory complaints) using linear mixed-effect models controlled for age, sex, and education. We stratified participants in 2 models: amyloid-ß (Aß)/neurodegeneration (N) model, assessing Aß burden and neurodegeneration effect [3 groups: controls (Aß-/N-); stable/N- (Aß+); stable/N+ (Aß+)]; and the stable/progressors model, assessing progression to prodromal-AD effect [2 groups: stable (Aß+); progressors (Aß+)], based on 15 subjects who progressed to AD during follow-up (excluded once diagnosed). Results: Aß burden was associated with significantly less MBT-intrusions, while Aß burden and neurodegeneration together, with the most. Progression status had a strong negative effect on both tests performance. When compared with the FCSRT, the MBT seems to anticipate diagnosis based on a worst performance in a higher number of scores (including binding) in at least a year. Discussion: Anticipation of diagnosis to an asymptomatic at-risk stage, while participants remain cognitively-normal according to FCSRT cut-offs and unaware of objective EM deficits, has the potential to delay the onset of AD-linked cognitive decline by applying promising therapeutics before decline becomes too advanced.

Cardiac conduction system as a new organ at risk in radiotherapy.

BACKGROUND: Cardiovascular diseases represent the most common non-oncologic cause of death in patients following radiotherapy (RT) in the thoracic region. Radiation-induced heart disease (RIHD) can manifest as various heterogeneous clinical entities. However, the influence of RT on the cardiac conduction system has only recently gained more attention. Arrhythmogenic toxicity, i.e., conduction disorders and arrhythmias, constitutes a significant part of these adverse effects. The cardiac conduction system is not routinely monitored as an organ at risk (OaR). Its specific histological nature and function suggest different sensitivity and response to radiation. The heart is a highly heterogeneous organ, and the routinely monitored dose to the whole heart may not adequately characterize the risk of increased arrhythmogenic toxicity from RT. Cardiac structures, including the conduction system, appear to be additional OaRs for which dose distribution should be monitored. MATERIAL AND METHODS: For the systematic selection of studies, we utilized the PubMed database with keywords derived from the analysis of existing literature. The search was limited to English-language publications, and the selection criteria included relevance to the topic and the quality of methodology. PURPOSE: This article summarizes the impact of RT on the cardiac conduction system. CONCLUSION: Radiotherapy-induced cardiotoxicity significantly affects morbidity and mortality. The heart exhibits heterogeneity in terms of radiosensitivity. Certain cardiac subregions in the dose distribution show a higher correlation with poorer overall survival than routinely monitored doses to the whole heart and derived parameters (the volumes irradiated with the doses of 5 or 30 Gy - V5 or V30, respectively). The most radiosensitive subregions appear to be the base of the heart, including the beginning of the conduction system. Higher doses to the conduction system, especially the sinoatrial (SA) node, are associated with a higher incidence of a wide range of arrhythmias and poorer overall survival. However, dose limits (Dmean and Dmax) for the conduction system have not yet been established. Dosimetric studies have identified cutoff doses to the SA node, exceeding which there is a significant increase in mortality and the occurrence of arrhythmias.

Analyzing the Relationship between Dose and Geometric Agreement Metrics for Auto-Contouring in Head and Neck Normal Tissues.

This study aimed to determine the relationship between geometric and dosimetric agreement metrics in head and neck (H&N) cancer radiotherapy plans. A total 287 plans were retrospectively analyzed, comparing auto-contoured and clinically used contours using a Dice similarity coefficient (DSC), surface DSC (sDSC), and Hausdorff distance (HD). Organs-at-risk (OARs) with ≥200 cGy dose differences from the clinical contour in terms of Dmax (D0.01cc) and Dmean were further examined against proximity to the planning target volume (PTV). A secondary set of 91 plans from multiple institutions validated these findings. For 4995 contour pairs across 19 OARs, 90% had a DSC, sDSC, and HD of at least 0.75, 0.86, and less than 7.65 mm, respectively. Dosimetrically, the absolute difference between the two contour sets was <200 cGy for 95% of OARs in terms of Dmax and 96% in terms of Dmean. In total, 97% of OARs exhibiting significant dose differences between the clinically edited contour and auto-contour were within 2.5 cm PTV regardless of geometric agreement. There was an approximately linear trend between geometric agreement and identifying at least 200 cGy dose differences, with higher geometric agreement corresponding to a lower fraction of cases being identified. Analysis of the secondary dataset validated these findings. Geometric indices are approximate indicators of contour quality and identify contours exhibiting significant dosimetric discordance. For a small subset of OARs within 2.5 cm of the PTV, geometric agreement metrics can be misleading in terms of contour quality.