Positive Threshold Research Articles

Improved post-radiation behavior of FinFET based CMOS with workfunction modulated gate

The total ionizing dose (TID) effect of modulated gate workfunction (MGW) FinFET based CMOS inverter is designed and analyzed. The post radiation analysis of the voltage transfer characteristics, noise margin and propagation delay are demonstrated. The incorporation workfunction modulation engineering enhances the OFF-state performance, and maintains positive threshold voltage for both the pre and post radiation condition. 2-decade improvement is noticed for the both n-FinFET and p-FinFET. In addition, the proposed technique offers minimum propagation delay time and acceptable noise margin range even after 2000 krad of radiation dose. The analysis and comparison of the results is done by the 3-D TCAD simulator.

FMA-Net: Fusion of Multi-Scale Attention for Grading Cervical Precancerous Lesions

Cervical cancer, as the fourth most common cancer in women, poses a significant threat to women’s health. Vaginal colposcopy examination, as the most cost-effective step in cervical cancer screening, can effectively detect precancerous lesions and prevent their progression into cancer. The size of the lesion areas in the colposcopic images varies, and the characteristics of the lesions are complex and difficult to discern, thus heavily relying on the expertise of the medical professionals. To address these issues, this paper constructs a vaginal colposcopy image dataset, ACIN-3, and proposes a Fusion Multi-scale Attention Network for the detection of cervical precancerous lesions. First, we propose a heterogeneous receptive field convolution module to construct the backbone network, which utilizes combinations of convolutions with different structures to extract multi-scale features from multiple receptive fields and capture features from different-sized regions of the cervix at different levels. Second, we propose an attention fusion module to construct a branch network, which integrates multi-scale features and establishes connections in both the spatial and channel dimensions. Finally, we design a dual-threshold loss function and introduce positive and negative thresholds to improve sample weights and address the issue of data imbalance in the dataset. Multiple experiments are conducted on the ACIN-3 dataset to demonstrate the superior performance of our approach compared to some classical and recent advanced methods. Our method achieves an accuracy of 92.2% in grading and 94.7% in detection, with average AUCs of 0.9862 and 0.9878. Our heatmap illustrates the accuracy of our approach in focusing on the locations of lesions.

Abstract 7486: Development and analytic validation of an ARv7/PSMA dual biomarker circulating tumor cell assay

Abstract Background Prostate cancer drug targets and biomarkers may be investigated non-invasively on circulating tumor cells (CTCs) obtained via liquid biopsies. PSMA is an important drug target in prostate cancer, and ARv7 is a splice variant that confers resistance to second-generation androgen receptor inhibitors. In this study, we describe the development and analytic validation of a novel assay to quantify ARv7 and PSMA protein expression on CTCs. The assay was validated with blood samples from patients with Stage IV prostate cancer to demonstrate clinical feasibility. To our knowledge, a PSMA/ARv7 dual protein assay for CTCs has not previously been reported. Methods LNCaP (PSMA positive), PC3 (PSMA negative), 22Rv1 (ARv7 positive), and BT474 (ARv7 negative) cells were spiked into healthy donor blood to generate model CTCs. Nucleated cells were collected from these spike-in samples using the AccuCyte® sample preparation kit and spread onto microscope slides. Slides were fixed and stained with antibodies to cytokeratin, EpCAM, and CD45 to detect CTCs and exclude white blood cells (WBCs), and with PSMA and ARv7 to evaluate protein expression on identified CTCs. The slides were imaged with the CyteFinder® automated immunofluorescence scanning microscope that identifies CTCs for confirmation by trained reviewers based on machine learning algorithms and quantitatively measures biomarker signal mean fluorescence intensity (MFI). Results For ARv7/PSMA expression classification of the model CTCs, the dual biomarker assay showed analytic sensitivity of 83%/97% and specificity 98%/99%, yielding accuracy of 90.2%/97.9%, respectively. The dynamic range of MFI for both biomarkers was approximately three orders of magnitude. Inter-run reproducibility CV was 13.6% (ARv7) and 6.9% (PSMA). Slide repeatability mean CV was 11.1% (ARv7) and 12.0% (PSMA). Clinical feasibility of the assay was investigated in 9 progressing Stage IV prostate cancer patient blood samples. CTCs were identified in all clinical samples (median 4, range 1 - 384). Thresholds for biomarker positivity were established based on MFI measurements of positive and negative control cell lines. ARv7 positivity in clinical samples ranged from 33% to 100%, and PSMA positivity ranged from 0% to 75%. Conclusions We have developed a dual ARv7/PSMA assay that simultaneously measures protein expression of both biomarkers on individual CTCs. The assay is accurate and reproducible for the assessment of ARv7 and PSMA expression by liquid biopsy in clinical studies. Citation Format: Jon Ladd, Erin Bayer, Brock Bartels, Eric Kaldjian, Arturo Ramirez. Development and analytic validation of an ARv7/PSMA dual biomarker circulating tumor cell assay [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 7486.

Abstract 7617: Quantitative continuous scoring of PD-L1 for superior patient selection for anti-PD-L1 treatment of locally advanced or unresectable NSCLC

Abstract Background: Immune checkpoint inhibitors (ICIs) targeting PD-(L)1 following concurrent chemoradiotherapy (cCRT) have shown clinical activity in locally advanced, unresectable NSCLC, e.g. with the PACIFIC regimen [1]. PD-L1 expression is typically assessed by pathologist scoring of immunohistochemically (IHC) stained tissue using the tumor cell (TC) score. In this work, we present PD-L1 Quantitative Continuous Scoring (PD-L1 QCS) to digitally assess PD-L1 expression (Ventana SP263 assay), and analyze its utility for identification of patient subgroups with higher likelihood of treatment response. Method: 368 digitized whole slide images (WSI) of fresh biopsy and archival samples were obtained from the PACIFIC trial (NCT02125461), including 126 patients who received placebo and 242 patients who received Durvalumab post-cCRT [1]. WSI analysis included two deep learning models for epithelial TC segmentation followed by optical density (OD) quantification of membrane expression [2]. Initially, PD-L1 QCS was calibrated to compute the TC score at 1% cutoff by determining an optimal OD cell positivity threshold. Next, other scoring approaches were investigated, which included various OD thresholds and biomarker cutoffs. Results: PD-L1 QCS-based TC scoring was able to maintain median overall survival (mOS) of 57.4 months in the biomarker positive (BM+) ICI cohort, while increasing prevalence to 191 out of 242 patients (78.9%) compared to 177 (73.1%) with manual TC score at 1% cutoff. Extending the scoring paradigm to the PD-L1+ TC density >= 542.5 cells/mm² lead to a more pronounced increase of prevalence to 200 patients (82.6%) in the ICI population, while mOS was not reached and additionally showed comparable hazard ratios (HR) when evaluating against the BM+ placebo cohort (HR=0.54 [0.39, 0.76] resp. HR=0.52 [0.37, 0.74]). Results further demonstrated that PD-L1 QCS density scoring of the ICI treated population allowed for a clearer separation of patients with less treatment benefit (34.2m mOS, N=42, log rank p=0.0067) compared to manual scoring (47.4m mOS, N=65, log rank p=0.2). Conclusion: We investigated a computational pathology approach for selecting patients for treatment with the PACIFIC regimen and compared it against established manual pathology scoring. Results indicate that PD-L1 QCS TC proportion scoring can increase prevalence, while PD-L1 QCS TC density scoring has the potential to identify an even larger patient subgroup with increased survival benefit.

Acceptance, safety, and immunogenicity of a booster dose of inactivated SARS-CoV-2 vaccine in patients with primary biliary cholangitis

Inactivated coronavirus disease 2019 (COVID-19) vaccines showed impaired immunogenicity in some autoimmune diseases, but it remains unclear in primary biliary cholangitis (PBC). This study aimed to explore the antibody response to the inactivated COVID-19 vaccine in individuals with PBC, as well as to evaluate coverage, safety, and attitudes toward the COVID-19 vaccine among them. Two cohorts of patients with PBC were enrolled in this study. One cohort was arranged to evaluate the immunogenicity of the inactivated COVID-19 vaccine, another cohort participated in an online survey. The titers of the anti-receptor-binding domain (RBD)-specific immunoglobulin G (IgG), neutralizing antibody (NAb) toward severe acute respiratory syndrome coronavirus 2 wild-type, and NAb toward Omicron BA.4/5 subvariants were detected to assess antibody response from the vaccine. After booster vaccination for more than six months, patients with PBC had significantly lowered levels of anti-RBD-specific IgG compared to HCs, and the inhibition rates of NAb toward wild-type also declined in individuals with PBC. The detected levels of NAb toward Omicron BA.4/5 were below the positive threshold in patients with PBC and HCs. Laboratory parameters did not significantly correlate with any of the three antibodies. The online survey revealed that 24% of patients with PBC received three COVID-19 vaccines, while 63% were unimmunized. Adverse effect rates after the first, second, and third vaccine doses were 6.1%, 10.3%, and 9.5%, respectively. Unvaccinated patients with PBC were more worried about the safety of the vaccine than those who were vaccinated (P = 0.004). As a result, this study fills the immunological assessment gap in patients with PBC who received inactivated COVID-19 vaccines.

Real-world overall survival and characteristics of patients with ER-zero and ER-low HER2-negative breast cancer treated as triple-negative breast cancer: a Swedish population-based cohort study

Estrogen receptor-low (ER-low) HER2-negative breast cancer has similar pathological and molecular characteristics as triple-negative breast cancer (TNBC), and it is questionable whether it should be considered a separate entity. When the international guidelines lowered the cutoff for ER positivity to ≥1% in 2010, the ≥10% threshold was kept in Sweden. ER-low breast cancer (ER 1-9%) is thus in Sweden treated as TNBC. We aimed to describe patient and tumor characteristics, treatment patterns and overall survival in a Swedish population-based cohort of patients with ER-zero and ER-low HER2-negative breast cancer treated as TNBC. All TNBC cases diagnosed in Sweden 2008-2020 were included in a population-based cohort study. Patient, tumor and treatment characteristics were analyzed by ER-status (ER 0% vs 1-9%), and associations between subgroups compared using χ2 test. Survival endpoint was overall survival (OS), and Kaplan-Meier curves were estimated. Cox proportional hazards models were used to estimate adjusted hazard ratios comparing ER-low to ER-zero. Of the 5655 tumors, 90.1% had an ER expression of 0%, while 9.9% were ER-low. ER-low tumors were grade III in 69.4% (80.8% in ER-zero tumors, p-value=0.001), with a median Ki67 of 60% (63% in ER-zero tumors, p-value=0.005). There were no significant differences in given chemotherapy (p=0.546). A pathological complete response (pCR) was achieved in 28.1% of ER-low tumors (25.1% in ER-zero tumors). In the unadjusted analysis of OS, women with ER-low disease had a borderline but not significantly better OS than those with ER-zero disease (HR 0.84 (95% CI 0.71-1.00), p=0.052). ER-status 1-9% vs 0% was not associated with OS in the multivariable analysis (HR 1.11 (0.90-1.36)). Distant disease-free survival did not differ by ER-status 0% vs 1-9% (HR 0.97 for ER-zero vs ER-low (0.62-1.53), p=0.905). After preoperative treatment, the impact of pCR for OS did not significantly differ between ER-zero or ER-low disease. ER-low HER2-negative breast cancer has characteristics and prognosis similar to TNBC, when treated in the same way. Therefore, it seems reasonable to use a ≥10% threshold for ER positivity. This would provide patients with ER-low tumors the same treatment opportunities as patients with TNBC, within studies and within clinical routine. This work was financially supported by Merck Sharp & Dohme LLC, a subsidiary of Merck & Co., Inc., Rahway, NJ, USA, in accordance with terms and conditions of a Master Collaboration Agreement between the company and Karolinska Institutet.

Glymphatic system dysfunction predicts amyloid deposition, neurodegeneration, and clinical progression in Alzheimer's disease.

Although glymphatic function is involved in Alzheimer's disease (AD), its potential for predicting the pathological and clinical progression of AD and its sequential association with core AD biomarkers is poorly understood. Whole-brain glymphatic activity was measured by diffusion tensor image analysis along the perivascular space (DTI-ALPS) in participants with AD dementia (n=47), mild cognitive impairment (MCI; n=137), and normal controls (n=235) from the Alzheimer's Disease Neuroimaging Initiative. ALPS index was significantly lower in AD dementia than in MCI or controls. Lower ALPS index was significantly associated with faster changes in amyloid positron emission tomography (PET) burden and AD signature region of interest volume, higher risk of amyloid-positive transition and clinical progression, and faster rates of amyloid- and neurodegeneration-related cognitive decline. Furthermore, the associations of the ALPS index with cognitive decline were fully mediated by amyloid PET and brain atrophy. Glymphatic failure may precede amyloid pathology, and predicts amyloid deposition, neurodegeneration, and clinical progression in AD. The analysis along the perivascular space (ALPS) index is reduced in patients with Alzheimer's disease (AD) dementia, prodromal AD, and preclinical AD. Lower ALPS index predicted accelerated amyloid beta (Aβ) positron emission tomography (PET) burden and Aβ-positive transition. The decrease in the ALPS index occurs before cerebrospinal fluid Aβ42 reaches the positive threshold. ALPS index predicted brain atrophy, clinical progression, and cognitive decline. Aβ PET and brain atrophy mediated the link of ALPS index with cognitive decline.

Using the Sysmex UF-4000 urine flow cytometer for rapid diagnosis of urinary tract infection in the clinical microbiological laboratory.

Urinary tract infections are responsible for a significant worldwide disease burden. Performing urine culture is time consuming and labor intensive. Urine flow cytometry might provide a quick and reliable method to screen for urinary tract infection. We analyzed routinely collected urine samples received between 2020 and 2022 from both inpatients and outpatients. The UF-4000 urine flow cytometer was implemented with an optimal threshold for positivity of ≥100 bacteria/μL. We thereafter validated the prognostic value to detect the presence of urinary tract infection (UTI) based on bacterial (BACT), leukocyte (WBC), and yeast-like cell (YLC) counts combined with the bacterial morphology (UF gram-flag). In the first phase, in 2019, the UF-4000 was implemented using 970 urine samples. In the second phase, between 2020 and 2022, the validation was performed in 42,958 midstream urine samples. The UF-4000 screen resulted in a 37% (n = 15,895) decrease in performed urine cultures. Uropathogens were identified in 18,673 (69%) positively flagged urine samples. BACT > 10.000/μL combined with a gram-negative flag had a >90% positive predictive value for the presence of gram-negative uropathogens. The absence of gram-positive flag or YLC had high negative predictive values (99% and >99%, respectively) and are, therefore, best used to rule out the presence of gram-positive bacteria or yeast. WBC counts did not add to the prediction of uropathogens. Implementation of the UF-4000 in routine practice decreased the number of cultured urine samples by 37%. Bacterial cell counts were highly predictive for the presence of UTI, especially when combined with the presence of a gram-negative flag.

A Dried Blood Spot protocol for high-throughput quantitative analysis of SARS-CoV-2 RBD serology based on the Roche Elecsys system.

SARS-CoV-2 spreads pandemically since 2020; in 2021, effective vaccinations became available and vaccination campaigns commenced. Still, it is hard to track the spread of the infection or to assess vaccination success in the broader population. Measuring specific anti-SARS-CoV-2 antibodies is the most effective tool to track the spread of the infection or successful vaccinations. The need for venous-blood sampling however poses a significant barrier for large studies. Dried-blood-spots on filter-cards (DBS) have been used for SARS-CoV-2 serology in our laboratory, but so far not to follow quantitative SARS-CoV-2 anti-spike reactivity in a longitudinal cohort. We developed a semi-automated protocol or quantitative SARS-CoV-2 anti-spike serology from self-sampled DBS, validating it in a cohort of matched DBS and venous-blood samples (n = 825). We investigated chromatographic effects, reproducibility, and carry-over effects and calculated a positivity threshold as well as a conversion formula to determine the quantitative binding units in the DBS with confidence intervals. Sensitivity and specificity reached 96.63% and 97.81%, respectively, compared to the same test performed in paired venous samples. Between a signal of 0.018 and 250 U/mL, we calculated a correction formula. Measuring longitudinal samples during vaccinations, we demonstrated relative changes in titers over time in several individuals and in a longitudinal cohort over four follow-ups. DBS sampling has proven itself for anti-nucleocapsid serosurveys in our laboratory. Similarly, anti-spike high-throughput DBS serology is feasible as a complementary assay. Quantitative measurements are accurate enough to follow titer dynamics in populations also after vaccination campaigns. This work was supported by the Bavarian State Ministry of Science and the Arts; LMU University Hospital, LMU Munich; Helmholtz Center Munich; University of Bonn; University of Bielefeld; German Ministry for Education and Research (proj. nr.: 01KI20271 and others) and the Medical Biodefense Research Program of the Bundeswehr Medical Service. Roche Diagnostics provided kits and machines for analyses at discounted rates. The project is funded also by the European-wide Consortium ORCHESTRA. The ORCHESTRA project has received funding from the European Union's Horizon 2020 research and innovation program under grant agreement No 101016167. The views expressed in this publication are the sole responsibility of the author, and the Commission is not responsible for any use that may be made of the information it contains.IMPORTANCESARS-CoV-2 has been spreading globally as a pandemic since 2020. To determine the prevalence of SARS-CoV-2 antibodies among populations, the most effective public health tool is measuring specific anti-SARS-CoV-2 antibodies induced by infection or vaccination. However, conducting large-scale studies that involve venous-blood sampling is challenging due to the associated feasibility and cost issues. A more cost-efficient and less invasive method for SARS-CoV-2 serological testing is using Dried-Blood-Spots on filter cards (DBS). In this paper, we have developed a semi-automated protocol for quantifying SARS-CoV-2 anti-spike antibodies from self-collected DBS. Our laboratory has previously successfully used DBS sampling for anti-nucleocapsid antibody surveys. Likewise, conducting high-throughput DBS serology for anti-spike antibodies is feasible as an additional test that can be performed using the same sample preparation as the anti-nucleocapsid analysis. The quantitative measurements obtained are accurate enough to track the dynamics of antibody levels in populations, even after vaccination campaigns.

NG2 Molecule Expression in Acute Lymphoblastic Leukemia B Cells: A Flow-Cytometric Marker for the Rapid Identification of KMT2A Gene Rearrangements.

B-lineage acute lymphoblastic leukemias (B-ALL) harboring rearrangements of the histone lysine [K]-Methyltransferase 2A (KMT2A) gene on chromosome 11q23 (KMT2A-r) represent a category with dismal prognosis. The prompt identification of these cases represents an urgent clinical need. Considering the correlation between rat neuron glial-antigen 2 (NG2) chondroitin-sulfate-proteoglycan molecule expression and KMT2A-r, we aimed to identify an optimized cytofluorimetric diagnostic panel to predict the presence of KMT2A-r. We evaluated 88 NG2+ B-ALL cases identified with an NG2 positivity threshold >10% from a cohort of 1382 newly diagnosed B-ALLs referred to the Division of Hematology of 'Sapienza' University of Rome. Eighty-five of 88 (96.6%) NG2+ B-ALLs harbored KMT2A-r and were mainly pro-B ALL (77/85; 91%). Only 2 B-ALLs with KMT2A-r showed NG2 expression below 10%, probably due to the steroid therapy administered prior to cytofluorimetric analysis.Compared to KMT2A-r-cases, KMT2A r+ B-ALLs showed a higher blast percentage, significantly higher mean fluorescence intensity (MFI) of CD45, CD38, and CD58, and significantly lower MFI of CD34, CD22, TdT, and CD123.The study confirmed differences in CD45, CD34, CD22, and TdT MFI within the same immunologic EGIL group (European Group for the immunological classification of leukemias), indicating no influence of the B-ALLs EGIL subtype on the KMT2A-r+ B-ALLs immunophenotype. Our data demonstrate the association between NG2 and KMT2A-r in B-ALLs identify a distinctive immunophenotypic pattern, useful for rapid identification in diagnostic routines of these subtypes of B-ALLs with a poor prognosis that benefits from a specific therapeutic approach.

Graphoepitaxially Side‐By‐Side Nanofins Along Atomic Terraces for Enhancement‐Mode FinFETs with 108 On/Off Ratio

AbstractThe innovation of 3D FinFETs using top‐down silicon nanofins represents a significant advancement toward scaling down microchip process nodes to the cutting‐edge 3‐nm level. While bottom‐up semiconductor nanofins also hold promise as building blocks for FinFETs, their controlled growth remains challenging. Drawing inspiration from the guided roots along brick gaps, this study shows that the aligned atomic terraces on an annealed miscut LaAlO3 surface can trigger an exceptional graphoepitaxial effect, encouraging the bottom‐up vapor‐phase growth of self‐aligned nanostructures such as CdS, CdSe, ZnSe, and ZnTe. Subsequently, the resultant CdS nanofins, characterized by narrow widths of ≈20 nm and large height‐to‐width ratios exceeding 16, can be seamlessly assembled into arrayed FinFETs on the insulating LaAlO3 substrate, obviating the need for post‐growth alignment steps. Unlike most nanostructure‐based planar transistors, which often operate in depletion mode characterized by negative thresholds, these FinFETs operate in enhancement mode with positive thresholds (≈5 V), ≈10−14‐A standby currents, and ≈108 on/off current ratios. The achieved ratio surpasses the record for planar enhancement‐mode CdS transistors by 4 orders of magnitude, primarily due to the enhanced electrostatic control over the nanofins. Overall, the graphoepitaxially side‐by‐side nanofins show tremendous potential to expand the repertoire of FinFETs based on non‐silicon semiconductors.

Information technology, gender economic inclusion and environment sustainability in sub-Sahara Africa

PurposeThis study examines the relevance of information and communication technologies in the effect of gender economic inclusion on environmental sustainability.Design/methodology/approachThe focus is on a panel of 42 sub-Saharan African countries over the period 2005–2020. The empirical evidence is based on generalized method of moments. The environmental sustainability indicator used is CO2 emissions per capita. Three indicators of women’s economic inclusion are considered: female labour force participation, female employment and female unemployment. The chosen ICT indicators are mobile phone penetration, Internet penetration and fixed broadband subscriptions.FindingsThe results show that: (1) fixed broadband subscriptions represent the most relevant ICT moderator of gender economic inclusion for an effect on CO2 emissions; (2) negative net effects are apparent for the most part with fixed broadband subscriptions (3) both positive ICT thresholds (i.e., critical levels for complementary policies) and negative ICT thresholds (i.e., minimum ICT levels for negative net effects) are provided; (4) ICT synergy effects are apparent for female unemployment, but not for female employment. In general, the joint effect of ICTs or their synergies and economic inclusion should be a concern for policymakers in order to better ensure sustainable development. Moreover, the relevant ICT policy thresholds and mobile phone threshold for complementary policy are essential in promoting a green economy.Originality/valueThe study complements the extant literature by assessing linkages between information technology, gender economic inclusion and environmental sustainability.

Machine learning-based identification of colorectal advanced adenoma using clinical and laboratory data: a phase I exploratory study in accordance with updated World Endoscopy Organization guidelines for noninvasive colorectal cancer screening tests.

The recent World Endoscopy Organization (WEO) guidelines now recognize precursor lesions of colorectal cancer (CRC) as legitimate screening targets. However, an optimal screening method for detecting advanced adenoma (AA), a significant precursor lesion, remains elusive. We employed five machine learning methods, using clinical and laboratory data, to develop and validate a diagnostic model for identifying patients with AA (569 AAs vs. 3228 controls with normal colonoscopy). The best-performing model was selected based on sensitivity and specificity assessments. Its performance in recognizing adenoma-carcinoma sequence was evaluated in line with guidelines, and adjustable thresholds were established. For comparison, the Fecal Occult Blood Test (FOBT) was also selected. The XGBoost model demonstrated superior performance in identifying AA, with a sensitivity of 70.8% and a specificity of 83.4%. It successfully detected 42.7% of non-advanced adenoma (NAA) and 80.1% of CRC. The model-transformed risk assessment scale provided diagnostic performance at different positivity thresholds. Compared to FOBT, the XGBoost model better identified AA and NAA, however, was less effective in CRC. The XGBoost model, compared to FOBT, offers improved accuracy in identifying AA patients. While it may not meet the recommendations of some organizations, it provides value for individuals who are unable to use FOBT for various reasons.

Are gout patients with negative dual-energy computed tomography for monosodium urate crystal deposition easy to treat?

Abstract Objectives To determine the clinical associations and predictive value of two thresholds of negative dual-energy CT (DECT) for MSU crystal deposition in gout patients initiating urate-lowering therapy (ULT) and identify which threshold is more clinically relevant. Methods Patients from the CRYSTALILLE cohort with a diagnosis of gout naïve to ULT with baseline DECT scans of the knees and feet were selected. Two thresholds of positivity for DECT detection of MSU crystal deposition were considered (<0.01 cm3 and <0.1 cm3). Baseline characteristics and the prediction of key outcomes after ULT initiation, including reaching serum urate (SU) levels <6.0 and 5.0 mg/dl and occurrence of flares at 6, 12 and 24 months, associated with both thresholds of negative DECTs were compared with those of patients having positive DECT scans. Results A total of 211 patients, median age 66.2 years [interquartile range (IQR) 57–75.8], with a median symptom duration of 3 years (IQR 0–7.8) were included. A total of 38/211 (18%) and 90/211 (43%) had negative DECT scans for the 0.01 and 0.1 cm3 thresholds, respectively. Factors associated with negative DECT scans were younger age, shorter symptom duration and an absence of cardiovascular disease for both volume thresholds. A total of 9/39 (23.1%), 3/26 (11.5%) and 1/18 (5.6%) patients with <0.1 cm3 MSU crystals had flares at 6, 12 and 24 months, respectively, compared with 18/45 (40.0%), 9/36 (25.0%) and 2/18 (11.1%) patients with ≥0.1 cm3 (P > 0.05). Overall, 95 patients (68.3%) reached SU levels <6.0 mg/dl and 68 (48.9%) reached levels <5.0 mg/dl, without any difference between positive and negative DECTs, with ULT dosages that tended to be lower in patients with negative DECTs. Conclusion The 0.1 cm3 threshold was better correlated with clinical presentation and evolution than the 0.01 cm3 threshold. Gout patients with negative DECTs exhibit milder disease and a lower comorbidity burden. They do not exhibit particularly easy-to-treat hyperuricaemia but they may have a lower risk of flares.

Performance comparison between two computer-aided detection colonoscopy models by trainees using different false positive thresholds: a cross-sectional study in Thailand.

This study aims to compare polyp detection performance of "Deep-GI," a newly developed artificial intelligence (AI) model, to a previously validated AI model computer-aided polyp detection (CADe) using various false positive (FP) thresholds and determining the best threshold for each model. Colonoscopy videos were collected prospectively and reviewed by three expert endoscopists (gold standard), trainees, CADe (CAD EYE; Fujifilm Corp.), and Deep-GI. Polyp detection sensitivity (PDS), polyp miss rates (PMR), and false-positive alarm rates (FPR) were compared among the three groups using different FP thresholds for the duration of bounding boxes appearing on the screen. In total, 170 colonoscopy videos were used in this study. Deep-GI showed the highest PDS (99.4% vs. 85.4% vs. 66.7%, p<0.01) and the lowest PMR (0.6% vs. 14.6% vs. 33.3%, p<0.01) when compared to CADe and trainees, respectively. Compared to CADe, Deep-GI demonstrated lower FPR at FP thresholds of ≥0.5 (12.1 vs. 22.4) and ≥1 second (4.4 vs. 6.8) (both p<0.05). However, when the threshold was raised to ≥1.5 seconds, the FPR became comparable (2 vs. 2.4, p=0.3), while the PMR increased from 2% to 10%. Compared to CADe, Deep-GI demonstrated a higher PDS with significantly lower FPR at ≥0.5- and ≥1-second thresholds. At the ≥1.5-second threshold, both systems showed comparable FPR with increased PMR.

Analysis of clinical characteristics of children with adenoid hypertrophy and pharyngolaryngeal reflux

Objectives: To explore the clinical characteristics of children with adenoid hypertrophy (AH) and laryngopharyngeal reflux (LPR) by detecting the expression of pepsin in adenoids as a standard for AH with LPR. Methods: A total of 190 children who were admitted for surgical treatment due to AH were included in the study. The main clinical symptoms of the patients were recorded, and the degree of adenoid hypertrophy was evaluated. Before the surgery, Reflux Symptom Index (RSI) and Reflux Finding Score (RFS) were used to evaluate the reflux symptoms. After the surgery, pepsin immunohistochemical staining was performed on the adenoid tissue, and according to the staining results, the patients were divided into study group (pepsin staining positive) and control group (pepsin staining negative). SPSS 19.0 software was used for statistical analysis. Quantitative data conforming to normal distribution between the two groups were tested by two-independent sample t test, and quantitative data with skewed distribution were tested by Mann-Whitney U test. Results: The positive rate of pepsin staining in the 190 AH patients was 78.4% (149/190). The study group had higher levels of preoperative symptoms such as erythema and/or congestion of the pharynx(2.1±0.7 vs. 1.8±0.6,t=2.23), vocal cord edema[1.0(0, 1.0) vs. 1.0(0, 1.0), Z=2.00], diffuse laryngeal edema[0(0, 1.0) vs. 0(0, 0), Z=2.48], posterior commissure hypertrophy[(1.4±0.6 vs. 1.1±0.5), t=2.63], and a higher total score on the RFS scale than the control group(6.2±2.7 vs. 5.0±2.6, t=2.47), with statistical differences (P<0.05). The sensitivity and specificity of RFS score in diagnosing AH with LPR were 24.8% and 80.5%, respectively. When RFS>5 was used as the positive threshold, the sensitivity and specificity of RFS score in diagnosing AH with LPR were 61.1% and 58.5%, respectively. There was a statistical difference in the number of positive cases of RFS score between the study group and the control group(91 vs. 17,χ2=5.04,P=0.032). Conclusions: LPR is common in AH children. Children with AH and LPR have specific performance in electronic laryngoscopy, such as erythema with edema in the pharynx, posterior commissure hypertrophy, and vocal cord edema.

Surface passivation properties of atomic-layer deposited hafnium oxide on a (100) β-Ga2O3 MOSFET

We report the effect of HfO2 passivation on the electrical characteristics of (100) β-Ga2O3 metal-oxide-semiconductor field-effect transistors (MOSFETs). The atomic-layer-deposited HfO2 layer with negative defect charges enhances the transconductance and subthreshold slope. A significant positive threshold voltage (V TH) shift of ∼32 V is induced after the passivation. Moreover, significantly less V TH shift of ∼2 V is observed under negative bias stress (NBS) for 3600 s in comparison with an Al2O3 passivated and unpassivated device. Physics-based technology computer aided design (TCAD) simulation is performed to demonstrate the surface depletion effect and the dependency on the density of negative fixed charges in the HfO2 passivation layer. Finally, the HfO2 passivated device maintains superior electrical characteristics compared to the unpassivated device at a temperature of up to 500 K.

Prevalence and significance of HPV DNA detection below the clinical threshold of the commercial kit Alinity m HR-HPV assay (Abbott).

The positive clinical threshold of human papillomavirus(HPV) tests validated for primary cervical cancer screening (CCS) is designed to offer an optimal balance between clinical sensitivity and specificity. However, there may be a gap between the analytical sensitivity of the test and the positive clinical threshold, referred to here as the "gray-zone."This study aims to determine the prevalence and significance of HPV results obtained in the gray-zone in routine practice. Cervical samples obtained in our institution for CCS over a 22-month-period were tested with the Alinity m HR-HPV Assay (Abbott). Clinical and biological data, including cytological results and patients' HPV history were collected. Of the 6101 samples collected, 1.7% had an HPV result in the gray-zone (102 patients). The proportion of gray-zone results varied according to HPV genotype, reaching 11.8% of samples with detectable HPV DNA in the case of HPV31/33/52/58 genotypes. Reflex cytologies showed no abnormalities or AtypicalSquamous Cells of Undetermined Significance results in 74.6% and 17.9% of cases, respectively. A previous or subsequent HPV-positive result with a (possibly) identical genotype was observed in 58% and 38% of cases, respectively. Two women with a history of persistent HPV detection had a CIN2+ lesion 1 year after the gray-zone result. In conclusion, the proportion of HPV results in the gray-zone varies according to genotype. No cytological abnormality is observed in the majority of cases, but a few rare patients with a history of persistent HPV infection should be closely monitored even if the HPV result is transiently located in the gray-zone.

Urine biomarkers individually and as a consensus model show high sensitivity and specificity for detecting UTIs

BackgroundCurrent diagnoses of urinary tract infection (UTI) by standard urine culture (SUC) has significant limitations in sensitivity, especially for fastidious organisms, and the ability to identify organisms in polymicrobial infections. The significant rate of both SUC “negative” or “mixed flora/contamination” results in UTI cases and the high prevalence of asymptomatic bacteriuria indicate the need for an accurate diagnostic test to help identify true UTI cases. This study aimed to determine if infection-associated urinary biomarkers can differentiate definitive UTI cases from non-UTI controls.MethodsMidstream clean-catch voided urine samples were collected from asymptomatic volunteers and symptomatic subjects ≥ 60 years old diagnosed with a UTI in a urology specialty setting. Microbial identification and density were assessed using a multiplex PCR/pooled antibiotic susceptibility test (M-PCR/P-AST) and SUC. Three biomarkers [neutrophil gelatinase-associated lipocalin (NGAL), and Interleukins 8 and 1β (IL-8, and IL-1β)] were also measured via enzyme-linked immunosorbent assay (ELISA). Definitive UTI cases were defined as symptomatic subjects with a UTI diagnosis and positive microorganism detection by SUC and M-PCR, while definitive non-UTI cases were defined as asymptomatic volunteers.ResultsWe observed a strong positive correlation (R2 > 0.90; p < 0.0001) between microbial density and the biomarkers NGAL, IL-8, and IL-1β for symptomatic subjects. Biomarker consensus criteria of two or more positive biomarkers had sensitivity 84.0%, specificity 91.2%, positive predictive value 93.7%, negative predictive value 78.8%, accuracy 86.9%, positive likelihood ratio of 9.58, and negative likelihood ratio of 0.17 in differentiating definitive UTI from non-UTI cases, regardless of non-zero microbial density. NGAL, IL-8, and IL-1β showed a significant elevation in symptomatic cases with positive microbe identification compared to asymptomatic cases with or without microbe identification. Biomarker consensus exhibited high accuracy in distinguishing UTI from non-UTI cases.ConclusionWe demonstrated that positive infection-associated urinary biomarkers NGAL, IL-8, and IL-1β, in symptomatic subjects with positive SUC and/or M-PCR results was associated with definitive UTI cases. A consensus criterion with ≥ 2 of the biomarkers meeting the positivity thresholds showed a good balance of sensitivity (84.0%), specificity (91.2%), and accuracy (86.9%). Therefore, this biomarker consensus is an excellent supportive diagnostic tool for resolving the presence of active UTI, particularly if SUC and M-PCR results disagree.

Dynamics of humoral and cellular response to three doses of anti-SARS-CoV-2 BNT162b2 vaccine in patients with hematological malignancies and older subjects.

Few data are available about the durability of the response, the induction of neutralizing antibodies, and the cellular response upon the third dose of the anti-severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccine in hemato-oncological patients. To investigate the antibody and cellular response to the BNT162b2 vaccine in patients with hematological malignancy. We measured SARS-CoV-2 anti-spike antibodies, anti-Omicron neutralizing antibodies, and T-cell responses 1 month after the third dose of vaccine in 93 fragile patients with hematological malignancy (FHM), 51 fragile not oncological subjects (FNO) aged 80-92, and 47 employees of the hospital (healthcare workers, (HW), aged 23-66 years. Blood samples were collected at day 0 (T0), 21 (T1), 35 (T2), 84 (T3), 168 (T4), 351 (T pre-3D), and 381 (T post-3D) after the first dose of vaccine. Serum IgG antibodies against S1/S2 antigens of SARS-CoV-2 spike protein were measured at every time point. Neutralizing antibodies were measured at T2, T3 (anti-Alpha), T4 (anti-Delta), and T post-3D (anti-Omicron). T cell response was assessed at T post-3D. An increase in anti-S1/S2 antigen antibodies compared to T0 was observed in the three groups at T post-3D. After the third vaccine dose, the median antibody level of FHM subjects was higher than after the second dose and above the putative protection threshold, although lower than in the other groups. The neutralizing activity of antibodies against the Omicron variant of the virus was tested at T2 and T post-3D. 42.3% of FHM, 80,0% of FNO, and 90,0% of HW had anti-Omicron neutralizing antibodies at T post-3D. To get more insight into the breadth of antibody responses, we analyzed neutralizing capacity against BA.4/BA.5, BF.7, BQ.1, XBB.1.5 since also for the Omicron variants, different mutations have been reported especially for the spike protein. The memory T-cell response was lower in FHM than in FNO and HW cohorts. Data on breakthrough infections and deaths suggested that the positivity threshold of the test is protective after the third dose of the vaccine in all cohorts. FHM have a relevant response to the BNT162b2 vaccine, with increasing antibody levels after the third dose coupled with, although low, a T-cell response. FHM need repeated vaccine doses to attain a protective immunological response.