Endovascular intervention for carotid blowout syndrome and predictors of recurrence: A retrospective and multicenter cohort study.

INTRODUCTION: Carotid blowout syndrome (CBS) is a potentially life-threatening complication of head and neck cancer and associated treatment. In this study, we assess the safety and efficacy of deconstructive and reconstructive procedures with a focus on CBS recurrence. METHODS: We conducted a multicenter retrospective analysis of a prospectively maintained database and identified 80 consecutive neurointerventions for CBS from 2016 to 2020. Patients were divided into 2 groups: deconstructive embolization (68 patients) and reconstructive stenting (12 patients). A comparative analysis was performed between the two groups. RESULTS: The CBS recurrence rate was 23.8 % with 84.2 % of recurrences occurring within 90 days of the primary event. The median time to rebleeding was 8.0 days (IQR: 2.0 - 28.5) with a mortality rate of 26.3 %. There was no significant difference in rates of peri-operative ischemic stroke (1.5 % vs. 0 %, p=0.672) or peri-operative mortality (1.5 % vs. 0 %, p=0.670). CBS recurrence was significantly higher in the reconstructive group (58.3 % vs. 17.6 %, p=0.002). On multivariate analysis, reconstructive stenting independently predicted rebleeding (adjusted hazard ratio 8.31, 95 % CI: 2.34-29.59, p=0.001). There was no significant association between CBS recurrence and pre-operative (p=0.600) or post-operative (p=0.275) anticoagulant/antiplatelet use. CONCLUSION: CBS remains a challenging and potentially catastrophic complication of head and neck cancers. Reconstructive procedures, including stenting, predicted CBS recurrence independent of bleeding site or tumor invasion. Postoperative surveillance based on time intervals to CBS recurrence and engineering advancements including improved vessel reconstruction devices have the potential to reduce rehemorrhage rates and improve patient outcomes. Further clinical investigations amongst larger cohorts are needed.

Discordance in acute gastrointestinal toxicity between synchrotron-based proton and linac-based electron ultra-high dose rate irradiation.

Purpose: Proton FLASH has been investigated using cyclotron and synchrocyclotron beamlines but not synchrotron beamlines. We evaluated the impact of dose rate (ultra-high [UHDR] vs. conventional [CONV]) and beam configuration (shoot-through [ST] vs. spread-out-Bragg-peak [SOBP]) on acute radiation-induced gastrointestinal toxicity (RIGIT) in mice. We also compared RIGIT between synchrotron-based protons and linac-based electrons with matched mean dose rates. Methods and Materials: We administered abdominal irradiation (12-14 Gy single fraction) to female C57BL/6J mice with an 87 MeV synchrotron-based proton beamline (2 cm diameter field size as a lateral beam). Dose rates were 0.2 Gy/s (S-T pCONV), 0.3 Gy/s (SOBP pCONV), 150 Gy/s (S-T pFLASH), and 230 Gy/s (SOBP pFLASH). RIGIT was assessed by the jejunal regenerating crypt assay and survival. We also compared responses to proton [pFLASH and pCONV] with responses to electron CONV (eCONV, 0.4 Gy/s) and electron FLASH (eFLASH, 188-205 Gy/s). Results: The number of regenerating jejunal crypts at each matched dose was lowest for pFLASH (similar between S-T and SOBP), greater and similar between pCONV (S-T and SOBP) and eCONV, and greatest for eFLASH. Correspondingly, mice that received pFLASH SOBP had the lowest survival rates (50% at 50 days), followed by pFLASH S-T (80%), and pCONV SOBP (90%), but 100% of mice receiving pCONV S-T survived (log-rank P = 0.047 for the four groups). Conclusions: Our findings are consistent with an increase in RIGIT after synchrotron-based pFLASH versus pCONV. This negative proton-specific FLASH effect versus linac-based electron irradiation underscores the importance of understanding the physical and biological factors that will allow safe and effective clinical translation.

Herpes zoster ophthalmicus uveitis: onset and complications: Herpes Zoster Uveitis.

PURPOSE: To describe the timing of uveitis onset and frequency of associated complications in individuals with herpes zoster ophthalmicus (HZO). DESIGN: Retrospective, cohort study METHODS: Individuals with acute HZO seen at the Auckland District Health Board from 2006 to 2016 were studied. The primary outcome measures were the proportion who developed uveitis and time to diagnosis of uveitis following the onset of HZO. Secondary outcome measures included complications of HZO uveitis and effects of prompt antiviral (within 72 hours) on outcomes. RESULTS: 869 patients with HZO were included for analysis, of whom 413 (47.6%) developed uveitis. Median time from onset of rash to diagnosis of uveitis was 10 days (IQR 6 - 14). Of the 658 individuals examined within the first week following rash onset (days 0 through 7), 17.6% (116/658) were diagnosed with uveitis at that initial presenting examination, with an additional 24.9% (164/658) diagnosed with uveitis at a subsequent visit. Complications were higher in eyes with uveitis, including: moderate or severe vision loss, corneal scarring, neurotrophic keratitis, band keratopathy, corneal melt, elevated intraocular pressure, glaucoma, and cataract (all p<0.01). Prompt antiviral was associated with a lower rate of moderate vision loss among eyes with uveitis (p=0.02). CONCLUSIONS: Uveitis occurred in approximately half of individuals with HZO and was most frequently diagnosed during the second week following rash onset. Eyes with uveitis were more likely to have other ocular complications and loss of vision.

Development of novel ionization chambers for reference dosimetry in electron flash radiotherapy.

BACKGROUND: Reference dosimetry in ultra-high dose rate (UHDR) beamlines is significantly hindered by limitations in conventional ionization chamber design. In particular, conventional chambers suffer from severe charge collection efficiency (CCE) degradation in high dose per pulse (DPP) beams. PURPOSE: The aim of this study was to optimize the design and performance of parallel plate ion chambers for use in UHDR dosimetry applications, and evaluate their potential as reference class chambers for calibration purposes. Three chamber designs were produced to determine the influence of the ion chamber response on electrode separation, field strength, and collection volume on the ion chamber response under UHDR and ultra-high dose per pulse (UHDPP) conditions. METHODS: Three chambers were designed and produced: the A11-VAR (0.2-1.0 mm electrode gap, 20 mm diameter collector), the A11-TPP (0.3 mm electrode gap, 20 mm diameter collector), and the A30 (0.3 mm electrode gap, 5.4 mm diameter collector). The chambers underwent full characterization using an UHDR 9 MeV electron beam with individually varied beam parameters of pulse repetition frequency (PRF, 10-120 Hz), pulse width (PW, 0.5-4 µs), and pulse amplitude (0.01-9 Gy/pulse). The response of the ion chambers was evaluated as a function of the DPP, PRF, PW, dose rate, electric field strength, and electrode gap. RESULTS: The chamber response was found to be dependent on DPP and PW, and these dependencies were mitigated with larger electric field strengths and smaller electrode spacing. At a constant electric field strength, we measured a larger CCE as a function of DPP for ion chambers with a smaller electrode gap in the A11-VAR. For ion chambers with identical electrode gap (A11-TPP and A30), higher electric field strengths were found to yield better CCE at higher DPP. A PW dependence was observed at low electric field strengths (500 V/mm) for DPP values ranging from 1 to 5 Gy at PWs ranging from 0.5 to 4 µs, but at electric field strengths of 1000 V/mm and higher, these effects become negligible. CONCLUSION: This study confirmed that the CCE of ion chambers depends strongly on the electrode spacing and the electric field strength, and also on the DPP and the PW of the UHDR beam. A significant finding of this study is that although chamber performance does depend on PW, the effect on the CCE becomes negligible with reduced electrode spacing and increased electric field. A CCE of ≥95% was achieved for DPPs of up to 5 Gy with no observable dependence on PW using the A30 chamber, while still achieving an acceptable performance in conventional dose rate beams, opening up the possibility for this type of chamber to be used as a reference class chamber for calibration purposes of electron FLASH beamlines.

Multimodal Deep Learning Improves Recurrence Risk Prediction in Pediatric Low-Grade Gliomas.

BACKGROUND: Postoperative recurrence risk for pediatric low-grade gliomas (pLGGs) is challenging to predict by conventional clinical, radiographic, and genomic factors. We investigated if deep learning of MRI tumor features could improve postoperative pLGG risk stratification. METHODS: We used pre-trained deep learning (DL) tool designed for pLGG segmentation to extract pLGG imaging features from preoperative T2-weighted MRI from patients who underwent surgery (DL-MRI features). Patients were pooled from two institutions: Dana Farber/Boston Children's Hospital (DF/BCH) and the Children's Brain Tumor Network (CBTN). We trained three DL logistic hazard models to predict postoperative event-free survival (EFS) probabilities with 1) clinical features, 2) DL-MRI features, and 3) multimodal (clinical and DL-MRI features). We evaluated the models with a time-dependent Concordance Index (Ctd) and risk group stratification with Kaplan Meier plots and log-rank tests. We developed an automated pipeline integrating pLGG segmentation and EFS prediction with the best model. RESULTS: Of the 396 patients analyzed (median follow-up: 85 months, range: 1.5-329 months), 214 (54%) underwent gross total resection and 110 (28%) recurred. The multimodal model improved EFS prediction compared to the DL-MRI and clinical models (Ctd: 0.85 (95% CI: 0.81-0.93), 0.79 (95% CI: 0.70-0.88), and 0.72 (95% CI: 0.57-0.77), respectively). The multimodal model improved risk-group stratification (3-year EFS for predicted high-risk: 31% versus low-risk: 92%, p<0.0001). CONCLUSIONS: DL extracts imaging features that can inform postoperative recurrence prediction for pLGG. Multimodal DL improves postoperative risk stratification for pLGG and may guide postoperative decision-making. Larger, multicenter training data may be needed to improve model generalizability.

Changes in Merkel cell oncoprotein antibodies after radiation therapy in curatively treated Merkel cell carcinoma and association with recurrence.

BACKGROUND: Serum antibodies to the Merkel oncoprotein (AMERK) are detectable in approximately 50% of patients with Merkel cell carcinoma (MCC) and can be used to monitor for recurrence. The objective of this study was to characterize AMERK levels in patients receiving curative-intent radiation therapy (RT) for MCC and identify associations between AMERK and recurrence. METHODS: This was a retrospective study of patients with MCC who had baseline AMERK measurements before they received curative-intent RT from 2010 to 2020. Event-free survival (EFS) was calculated using the Kaplan-Meier method and Cox regression. The cumulative incidence of MCC-related recurrence (CIMR) was analyzed with death as a competing risk and the Gray test. RESULTS: The authors identified 88 patients who had baseline AMERK measurements, including 52 (59%) with detectable levels. AMERK positivity was associated with younger median age (67.8 vs. 72.0 years; p = .02) and tumor site (p = 0.02), with lower rates for those who had disease in the head/neck region (17.3% vs. 44.4%). EFS (71.3% vs. 60.4%; p = .30) and CIMR (24.4% vs. 39.6%; p = .23) were more favorable in AMERK-positive patients. Two patients had recurrences in the RT field, and both were AMERK-negative at baseline. The median time to AMERK nadir after RT was 11.2 months; and, in a 6-month post-RT landmark analysis, the proportion of patients who were AMERK-positive who became negative or who had levels that decreased by ≥50% were not associated with EFS (87.1% vs. 85.0%; p = .90) or CIMR (12.9% vs. 15.0%; p = .62). CONCLUSIONS: Positive AMERK baseline levels were correlated with younger age at MCC diagnosis and nonhead and neck tumor location, possibly related to the distribution of viral etiology. A specific post-RT AMERK decline correlating with EFS could not be identified.

Pilot model of hepatitis C virus micro-elimination in high-risk populations in Hong Kong: Barriers and facilitators.

BACKGROUND: Although the general seroprevalence of hepatitis C virus (HCV) infection in Hong Kong is <0.5 %, Hong Kong is still striving for HCV elimination owing to barriers in care cascade encompassing linkage-to-care (LTC), treatment initiation and adherence. We aimed to evaluate the feasibility of a pilot model of micro-elimination to strengthen the HCV care cascade for high-risk groups in Hong Kong. METHODS: We initiated the pilot Conquering Hepatitis vIa Micro-Elimination (CHIME) program which adopts an integrated care approach involving outreach visits to halfway house or drug rehabilitation centers run by non-governmental organizations. Participants with history of injection drug use (PWID), recreational drug use, or imprisonment were included. We performed point-of-care test for anti-HCV with reflex HCV RNA testing. LTC with government-subsidized direct acting antiviral was provided to viremic participants. We compared the impact on the care cascade with a cohort of HCV patients (17.8 % PWID) under usual care. RESULTS: 396 participants (62.9 % PWID) were screened and 187 (47.2 %) were viremic, of which 29.8 % had cirrhosis. Proportion with LTC, treatment initiation and adherence were 76.5 % and 63.7 %, 90.9 % and 85.8 %, and 90.0 % and 92.2 %, for the CHIME program and usual care, respectively. The CHIME program was significantly associated with higher odds of LTC (OR 1.797, 95 % CI 1.221-2.644). Non-engagement in care (affecting 37.9 % participants with HCV viremia) was associated with unemployment (OR 2.165, 95 % CI 1.118-4.190). CONCLUSION: The pilot CHIME program demonstrated feasibility of an integrated approach to consolidate the HCV care cascade in high-risk populations in Hong Kong.

Beyond laryngoscopy: Trends in advanced technique endotracheal intubation in pediatric intensive care units across the United States.

OBJECTIVES: Endotracheal intubation (ETI) is a lifesaving procedure in critically ill children. Direct laryngoscopy (DL) is the most utilized method for ETI, however advanced techniques beyond DL are indicated in some patients. The purpose of this study is to describe trends of advanced ETI techniques in the critical care setting. MATERIALS AND METHODS: Using the National Emergency Airway Registry for Children (NEAR4KIDS), advanced technique ETI quality improvement data were prospectively collected for ETIs in PICUs from April 2018 to September 2021. Those who underwent ETI with only DL or who underwent exchange of an existing endotracheal tube were excluded. RESULTS: A total of 79 patients underwent advanced technique ETI with a median age of 8 (IQR 1-17) years. Advanced technique ETI was successful on the first attempt in 46.8 % of cases, with an overall success rate of 91.1 %. 1.3 % of patients received emergent surgical airway management. The most utilized advanced ETI technique was video laryngoscopy, followed by flexible bronchoscopy, and intubation through a laryngeal mask airway (LMA). The provider discipline ultimately successful in performing advanced technique ETI was most often pediatric critical care medicine (n = 26, 32.9 %), followed by anesthesia (n = 20, 25.3 %), and otolaryngology (n = 16, 20.3 %). CONCLUSION: While often indicated in challenging clinical scenarios, advanced ETI techniques are ultimately successful in the vast majority of cases. Advanced technique ETI is a highly multidisciplinary process.

Postoperative outcomes and trends in computer-navigated and robotic-assisted total hip arthroplasty.

INTRODUCTION: As the volume of technology-assisted total hip arthroplasty (THA) increases, there is a need to characterise the outcomes of robotic-assisted (RA) and computer-navigated (CN) THA. The goal of this study was to assess outcomes and opioid consumption following CN-THA and RA-THA compared to conventionally-instrumented (CON) THA. METHODS: The Premier Database was queried for all patients who underwent primary, elective THA from 2015-2020. Patients were divided into 3 groups: CN, RA, or CON-THA. Yearly usage trends were assessed. Univariate and multivariate analyses were performed to assess the 90-day risk of postoperative complications. Opioid consumption was reported in morphine milligram equivalents (MME) for postoperative days (POD) 0 and 1. RESULTS: Overall, 474,707 elective THAs were identified (95.7% CON, 2.1% CN, 2.2% RA. After accounting for confounders, CN-THA patients were at decreased risk for periprosthetic joint infection (PJI) (aOR: 0.55, p < 0.001) and dislocation (aOR 0.45, p < 0.001), but increased risk for blood transfusion (aOR 1.97, <0.001) compared to CON-THA. RA-THA patients were at decreased risk of dislocation (aOR:0.66, p < 0.001) but increased risk for transfusion (aOR 1.20, p < 0.001), prosthesis breakage (aOR 3.88, p < 0.001), and periprosthetic fracture (aOR 1.72, p < 0.001). Opioid consumption for CN-THA patients was lower on POD1 and lower for RA-THA patients POD0 and 2 compared to CON-THA. DISCUSSION: CN-THA was associated with reduced rates of PJI and dislocation, but increased rates of blood transfusion while RA-THA was associated with decreased rates of dislocation, but increased rates of blood transfusion, prosthesis complications, and periprosthetic fracture compared to CON-THA. Technology-assisted THA was associated with lower postoperative opioid consumption.

Longitudinal risk prediction for pediatric glioma with temporal deep learning.

Pediatric glioma recurrence can cause morbidity and mortality; however, recurrence pattern and severity are heterogeneous and challenging to predict with established clinical and genomic markers. Resultingly, almost all children undergo frequent, long-term, magnetic resonance (MR) brain surveillance regardless of individual recurrence risk. Deep learning analysis of longitudinal MR may be an effective approach for improving individualized recurrence prediction in gliomas and other cancers but has thus far been infeasible with current frameworks. Here, we propose a self-supervised, deep learning approach to longitudinal medical imaging analysis, temporal learning, that models the spatiotemporal information from a patient's current and prior brain MRs to predict future recurrence. We apply temporal learning to pediatric glioma surveillance imaging for 715 patients (3,994 scans) from four distinct clinical settings. We find that longitudinal imaging analysis with temporal learning improves recurrence prediction performance by up to 41% compared to traditional approaches, with improvements in performance in both low- and high-grade glioma. We find that recurrence prediction accuracy increases incrementally with the number of historical scans available per patient. Temporal deep learning may enable point-of-care decision-support for pediatric brain tumors and be adaptable more broadly to patients with other cancers and chronic diseases undergoing surveillance imaging.

Stepwise Transfer Learning for Expert-level Pediatric Brain Tumor MRI Segmentation in a Limited Data Scenario.

Purpose To develop, externally test, and evaluate clinical acceptability of a deep learning pediatric brain tumor segmentation model using stepwise transfer learning. Materials and Methods In this retrospective study, the authors leveraged two T2-weighted MRI datasets (May 2001 through December 2015) from a national brain tumor consortium (n = 184; median age, 7 years [range, 1-23 years]; 94 male patients) and a pediatric cancer center (n = 100; median age, 8 years [range, 1-19 years]; 47 male patients) to develop and evaluate deep learning neural networks for pediatric low-grade glioma segmentation using a stepwise transfer learning approach to maximize performance in a limited data scenario. The best model was externally tested on an independent test set and subjected to randomized blinded evaluation by three clinicians, wherein they assessed clinical acceptability of expert- and artificial intelligence (AI)-generated segmentations via 10-point Likert scales and Turing tests. Results The best AI model used in-domain stepwise transfer learning (median Dice score coefficient, 0.88 [IQR, 0.72-0.91] vs 0.812 [IQR, 0.56-0.89] for baseline model; P = .049). With external testing, the AI model yielded excellent accuracy using reference standards from three clinical experts (median Dice similarity coefficients: expert 1, 0.83 [IQR, 0.75-0.90]; expert 2, 0.81 [IQR, 0.70-0.89]; expert 3, 0.81 [IQR, 0.68-0.88]; mean accuracy, 0.82). For clinical benchmarking (n = 100 scans), experts rated AI-based segmentations higher on average compared with other experts (median Likert score, 9 [IQR, 7-9] vs 7 [IQR 7-9]) and rated more AI segmentations as clinically acceptable (80.2% vs 65.4%). Experts correctly predicted the origin of AI segmentations in an average of 26.0% of cases. Conclusion Stepwise transfer learning enabled expert-level automated pediatric brain tumor autosegmentation and volumetric measurement with a high level of clinical acceptability. Keywords: Stepwise Transfer Learning, Pediatric Brain Tumors, MRI Segmentation, Deep Learning Supplemental material is available for this article. © RSNA, 2024.

Lumbar Fusions in Patients with Sickle Cell Disease: A Propensity-Matched Analysis of Postoperative Complications.

OBJECTIVE: The present study compares postoperative outcomes between patients with and without sickle cell disease (SCD) undergoing 1-to 3-level lumbar spinal fusion for degenerative pathologies. METHODS: Patients who underwent 1-to 3-level lumbar spinal fusion for degenerative pathologies from 2010 to 2021 were identified using the PearlDiver database. Patients were separated into 1) SCD and 2) non-SCD groups and were propensity-matched 1:1 for age, sex, Elixhauser Comorbidity Index, surgical approach, and various comorbidities. Complications were separately analyzed by single- and multilevel procedures using chi-squared and Mann-Whitney U testing. RESULTS: Propensity-score matching identified 1934 SCD and non-SCD patients who underwent single-level fusion and 2094 SCD and non-SCD patients who underwent multilevel fusion. Across single-level fusions, those with SCD had a significantly higher risk of neurovascular compromise (P < 0.001), venous thromboembolism (P = 0.004), pneumonia (P = 0.032), urinary tract infections (P = 0.001), and greater postoperative opioid usage out to 12 months (P = 0.018). Across multilevel fusions, SCD carried higher risk for neurovascular compromise (P < 0.001), pneumonia (P = 0.010), and urinary tract infections (P < 0.001). All SCD patients had significantly higher opioid use at 1 month (P = 0.001) and at 6 months (P = 0.009) postoperatively. CONCLUSIONS: Patients with SCD undergoing lumbar spinal fusion demonstrate higher risks for coagulopathic, ischemic, and infectious-related complications, as well as long-term postoperative opioid use. Awareness of the unique complication profile in SCD patients may help guide surgeons in refining perioperative management strategies to optimize outcomes in patients with SCD.

Heme d formation in a Shewanella benthica hemoglobin.

In our continued investigations of microbial globins, we solved the structure of a truncated hemoglobin from Shewanella benthica, an obligate psychropiezophilic bacterium. The distal side of the heme active site is lined mostly with hydrophobic residues, with the exception of a tyrosine, Tyr34 (CD1) and a histidine, His24 (B13). We found that purified SbHbN, when crystallized in the ferric form with polyethylene glycol as precipitant, turned into a green color over weeks. The electron density obtained from the green crystals accommodated a trans heme d, a chlorin-type derivative featuring a γ-spirolactone and a vicinal hydroxyl group on a pyrroline ring. In solution, exposure of the protein to one equivalent of hydrogen peroxide resulted in a similar green color change, but caused by the formation of multiple products. These were oxidation species released on protein denaturation, likely including heme d, and a species with heme covalently attached to the polypeptide. The Tyr34Phe replacement prevented the formation of both heme d and the covalent linkage. The ready modification of heme b by SbHbN expands the range of chemistries supported by the globin fold and offers a route to a novel heme cofactor.

Modeling interactions between Heparan sulfate and proteins based on the Heparan sulfate microarray analysis.

Heparan sulfate (HS), a sulfated polysaccharide abundant in the extracellular matrix, plays pivotal roles in various physiological and pathological processes by interacting with proteins. Investigating the binding selectivity of HS oligosaccharides to target proteins is essential, but the exhaustive inclusion of all possible oligosaccharides in microarray experiments is impractical. To address this challenge, we present a hybrid pipeline that integrates microarray and in silico techniques to design oligosaccharides with desired protein affinity. Using fibroblast growth factor 2 (FGF2) as a model protein, we assembled an in-house dataset of HS oligosaccharides on microarrays and developed two structural representations: a standard representation with all atoms explicit and a simplified representation with disaccharide units as "quasi-atoms." Predictive Quantitative Structure-Activity Relationship (QSAR) models for FGF2 affinity were developed using the Random Forest (RF) algorithm. The resulting models, considering the applicability domain, demonstrated high predictivity, with a correct classification rate of 0.81-0.80 and improved positive predictive values (PPV) up to 0.95. Virtual screening of 40 new oligosaccharides using the simplified model identified 15 computational hits, 11 of which were experimentally validated for high FGF2 affinity. This hybrid approach marks a significant step toward the targeted design of oligosaccharides with desired protein interactions, providing a foundation for broader applications in glycobiology.

Herpes Zoster Ophthalmicus Recurrence: Risk Factors and Long-Term Clinical Outcomes.

PURPOSE: To examine the frequency of recurrences, risk factors, and long-term clinical outcomes in subjects with herpes zoster ophthalmicus (HZO). DESIGN: Retrospective cohort study. METHODS: All subjects with acute HZO seen at a single center from 2006 to 2016 were included in the study. The primary outcome measure was eye disease recurrence. The secondary outcome measure was moderate vision loss (≤20/50). RESULTS: A total of 869 patients with acute HZO were identified, with a median follow-up time of 6.3 years (interquartile range 3.7-8.9 years). In all, 551 recurrences were observed, and at least 1 recurrence was seen in 200 subjects (23.0%), with uveitis (34.8%) being the most common. The median time to first recurrence was 3.5 months. Predictors of disease recurrence included immunosuppression (P = .026), higher presenting intraocular pressure (P = .001), corneal involvement (P = .001), and uveitis (P < .001) on multivariate analysis. Topical steroids were initiated in the first month of presentation in 437 subjects, and recurrence was observed in 184 (42.1%) of these subjects. Following cessation of topical steroid treatment, recurrence occurred after a median of 1.4 months (90% within 7 months). Moderate vision loss (≤20/50) occurred in 15.5%, 28.6%, 31.4%, 50.0%, and 57.4% of eyes with 0, 1, 2, 3, and 4 or more recurrences. CONCLUSIONS: Recurrence of HZO eye disease is common, with an increased risk of vision loss with more recurrences. These findings indicate the need for close monitoring for potential recurrences, especially after cessation of topical steroid treatment, and in individuals with identified risk factors for recurrence.

Serum Creatinine as an Independent Predictor of Moderate to Severe Fibrosis in Chinese American Non-obese Metabolic Dysfunction-Associated Steatotic Liver Disease.

BACKGROUND: Metabolic dysfunction-associated steatotic liver disease (MASLD) is closely linked to the obesity epidemic. However, non-obese MASLD (body mass index [BMI] < 25 kg/m2 for Asians) is not uncommon, especially among Asian American populations. Preliminary research has demonstrated sarcopenia, a muscle-wasting syndrome, to be a major risk factor for non-obese Chinese MASLD. This study examined serum creatinine (SCr), a sarcopenia biomarker, and other prominent MASLD biomarkers for their ability to predict moderate to severe fibrosis (≥7.5 kPa or ≥F2 fibrosis) in the Chinese American MASLD population. METHODS: A total of 296 Chinese American MASLD patients were categorized by BMI and fibrosis severity. As per World Health Organization guidelines for Asians, we identified obese MASLD (BMI ≥ 25 kg/m2) in 191 subjects (64.5%) and non-obese MASLD (BMI < 25 kg/m2) in 105 subjects (35.5%). Multivariate logistic regressions were performed to ascertain which biomarkers served as independent predictors of ≥F2 fibrosis. Wilcoxon signed-rank tests were conducted to compare MASLD cohorts (stratified by gender) and the healthy adult population on SCr distribution. RESULTS: The obese MASLD cohorts had higher rates of ≥F2 fibrosis and type 2 diabetes mellitus compared to their older, non-obese counterparts. For obese MASLD patients, higher age (P < 0.05), increased BMI (P < 0.01), increased AST (P < 0.05), and decreased platelets (P < 0.05) independently predicted ≥F2 fibrosis. For non-obese MASLD patients, lowered SCr (P < 0.05) levels served as the main predictor of ≥F2 fibrosis. Female MASLD patients had markedly lower SCr distributions (P < 0.001) compared to the healthy female population, with 26.8% having SCr levels below the normal range. CONCLUSIONS: In summary, SCr was the predominant predictor of moderate to severe fibrosis in non-obese Chinese American MASLD patients. The high rate of decreased SCr levels in Chinese American MASLD women suggests that this population may be at higher risk for muscle mass loss, which can lead to liver fat accumulation.

Patterns of recurrence after radiotherapy for high-risk neuroblastoma: Implications for radiation dose and field.

BACKGROUND: Prognosis for patients with high-risk neuroblastoma (HR-NBL) is guarded despite aggressive therapy, and few studies have characterized outcomes after radiotherapy in relation to radiation treatment fields. METHODS: Multi-institutional retrospective cohort of 293 patients with HR-NBL who received autologous stem cell transplant (ASCT) and EBRT between 1997-2021. LRR was defined as recurrence at the primary site or within one nodal echelon beyond disease present at diagnosis. Follow-up was defined from the end of EBRT. Event-free survival (EFS) and OS were analyzed by Kaplan-Meier method. Cumulative incidence of locoregional progression (CILP) was analyzed using competing risks of distant-only relapse and death with Gray's test. RESULTS: Median follow-up was 7.0 years (range: 0.01-22.4). Five-year CILP, EFS, and OS were 11.9 %, 65.2 %, and 77.5 %, respectively. Of the 31 patients with LRR and imaging review, 15 (48.4 %) had in-field recurrences (>12 Gy), 6 (19.4 %) had marginal failures (≤12 Gy), and 10 (32.3 %) had both in-field and marginal recurrences. No patients receiving total body irradiation (12 Gy) experienced marginal-only failures (p = 0.069). On multivariable analyses, MYCN amplification had higher risk of LRR (HR: 2.42, 95 % CI: 1.06-5.50, p = 0.035) and post-consolidation isotretinoin and anti-GD2 antibody therapy (HR: 0.42, 95 % CI: 0.19-0.94, p = 0.035) had lower risk of LRR. CONCLUSIONS: Despite EBRT, LRR remains a contributor to treatment failure in HR-NBL with approximately half of LRRs including a component of marginal failure. Future prospective studies are needed to explore whether radiation fields and doses should be defined based on molecular features such as MYCN amplification, and/or response to chemotherapy.

On the acceptance, commissioning, and quality assurance of electron FLASH units.

Background & Purpose: FLASH or ultra-high dose rate (UHDR) radiation therapy (RT) has gained attention in recent years for its ability to spare normal tissues relative to conventional dose rate (CDR) RT in various preclinical trials. However, clinical implementation of this promising treatment option has been limited because of the lack of availability of accelerators capable of delivering UHDR RT. Commercial options are finally reaching the market that produce electron beams with average dose rates of up to 1000 Gy/s. We established a framework for the acceptance, commissioning, and periodic quality assurance (QA) of electron FLASH units and present an example of commissioning. Methods: A protocol for acceptance, commissioning, and QA of UHDR linear accelerators was established by combining and adapting standards and professional recommendations for standard linear accelerators based on the experience with UHDR at four clinical centers that use different UHDR devices. Non-standard dosimetric beam parameters considered included pulse width, pulse repetition frequency, dose per pulse, and instantaneous dose rate, together with recommendations on how to acquire these measurements. Results: The 6- and 9-MeV beams of an UHDR electron device were commissioned by using this developed protocol. Measurements were acquired with a combination of ion chambers, beam current transformers (BCTs), and dose-rate-independent passive dosimeters. The unit was calibrated according to the concept of redundant dosimetry using a reference setup. Conclusions: This study provides detailed recommendations for the acceptance testing, commissioning, and routine QA of low-energy electron UHDR linear accelerators. The proposed framework is not limited to any specific unit, making it applicable to all existing eFLASH units in the market. Through practical insights and theoretical discourse, this document establishes a benchmark for the commissioning of UHDR devices for clinical use.

Case Report: Low-grade glioma with NF1 loss of function mimicking diffuse intrinsic pontine glioma.

Intrinsic, expansile pontine tumors typically occur in the pediatric population. These tumors characteristically present as diffuse intrinsic pontine glioma (DIPG), which is now considered as diffuse midline glioma (DMG), H3K27-mutated of the pons. DIPG has limited treatment options and a poor prognosis, and the value of tissue diagnosis from an invasive biopsy remains controversial. This study presents the case of a 19-year-old female with clinical and imaging hallmarks of DIPG, who underwent a biopsy of a tumor in the region of the right middle cerebellar peduncle. Her lesional cells were negative for H3K27M alterations and had low-grade histologic features. Next-generation sequencing revealed a frameshift mutation in the NF1 gene as the likely driver mutation. These features suggest a diagnosis of a low-grade glioma associated with NF1 loss of function, with far-reaching consequences regarding both treatment strategy and prognosis. This case provides support for the utility of diagnostic tissue biopsy in cases of suspected DIPG.