Detection Rate Research Articles

The Utility of Magnetic Resonance Enterography and Double Balloon Enteroscopy-Assisted Endoscopic Balloon Dilatation for Small Bowel Strictures in Crohn’s Disease: A Retrospective Observational Study

Introduction: Crohn’s disease (CD) of the small bowel is associated with a severe course and increased risk of complications. Strictures at this location are challenging to diagnose and out-of-reach of colonoscopy. We aimed to evaluate the detection rate of small bowel strictures with magnetic resonance enterography (MRE) and assess the efficacy of double balloon enteroscopy-assisted endoscopic balloon dilatation (DBE-assisted EBD) in managing these strictures. Methods: A retrospective study included all patients with DBE-assisted EBD of small bowel strictures in CD in our facility. All patients had MRE to detect strictures prior to the dilatation. Sequential dilatation protocol was performed using through-the-scope (TTS) working channel balloons. The outcomes included technical success defined by the passage of the enteroscope post-dilatation, resolution of symptoms, and the requirement of repeated procedures or surgery during 12 months of follow-up. Results: Twenty DBE-assisted EBDs of small bowel strictures were attempted during 13 DBE procedures in 10 patients (6 males, median age 42). MRE identified 75% of the strictures with 100% accuracy in localisation. Retrograde DBE was the approach in 16/20 (80%) strictures. Anaesthetic intubation was used in 8/20 (40%). DBE reached 19/20 strictures. All the reached strictures were dilated successfully; the technical success following dilatation was 72.2%. The median DBE insertion time with TTS balloon dilatation was 66 min. Three patients required follow-up dilatations within 2–3 months. Surgery was not needed during the follow-up period. Conclusions: MRE is essential in diagnosing and localising small bowel strictures in CD. DBE reached 95% of strictures with successful dilatation. Immediate technical success was high, and safety was demonstrated. Planned repeat procedures for sequential dilatation were performed in a few patients. Surgical resection was avoided in all patients.

Storz professional image enhancement system (SPECTRA A) enhancing detection of carcinoma urinary bladder by white light cystoscopy

BackgroundSPECTRA A filters red light from white light through software to create contrast for better tissue visualization and light penetration. We aim to find whether the detection rate of bladder cancer is enhanced by SPECTRA A in adjunct to White Light Cystoscopy (WLC).MethodsThis was a prospective observational study among 66 patients in the Department of Urology and Kidney Transplant Surgery, Tribhuvan University Teaching Hospital. All patients undergoing TURBT for suspected/diagnosed bladder tumor were evaluated with WL, followed by SPECTRA A mode, and findings were recorded using visual bladder mapping. Resection of the tumor was done on WL, margins were again reevaluated using SPECTRA A mode, and a biopsy was taken in cases of suspicious findings confirmed on SPECTRA A. Tumor detection rate (sensitivity), extra lesion detection, false positive rate, and margin status were evaluated through 2 × 2 tables, McNemar chi-square test on patient level as well as lesion level.ResultsA total of 64 patients were included in the study. The mean age was 62.20 ± 13.98 with a sex ratio of M:F 4.3:1. SPECTRA A and WL had a detection rate of 95.33% and 78.80% (p = 0.001), respectively, and positive biopsy of detected lesions was 78.8% and 84.13% (p = 0.041), respectively, for SPECTRA A and WL. The false positive rate of SPECTRA A and WL was 21.19% and 15.86% (p = 0.006), respectively, whereas the false negative rate was 4% and 19.2% (p = 0.001), respectively. The number of extra lesions detected by SPECTRA A was 39, out of which 29 were histologically proven tumors.ConclusionSPECTRA A enhances the detection rate of bladder cancer when used with WL. We can increase the detection of bladder cancer by using a combination of white light and SPECTRA A.

Influenza surveillance in pigs: balancing act between broad diagnostic coverage and specific virus characterization

BackgroundMonitoring of infectious diseases on swine farms requires a high diagnostic sensitivity and specificity of the test system. Moreover, particularly in cases of swine influenza A virus (swIAV) it is desirable to include characterization of the virus as precisely as possible. This is indispensable for strategies concerning prophylaxis of swIAV and furthermore, to meet the requirements of a purposeful monitoring of newly emerging swIAV strains in terms of vaccine design and public health. Within the present cross-sectional study, we compared the diagnostic value of group samples (wipes of surfaces with direct contact to mouth/nose, dust wipes, udder skin wipes, oral fluids) to individual samples (nasal swabs, tracheobronchial swabs) for both swIAV identification and characterization. Sampling included different stages of pig production on 25 sow farms with attached nursery considered as enzootically infected with swIAV. Firstly, samples were analyzed for IAV genome and subsequently samples with Ct-values < 32 were subtyped by multiplex RT-qPCR.ResultsNasal swabs of suckling piglets and nursery pigs resulted in a higher odds to detect swIAV (p < 0.001) and to identify swIAV subtypes by RT-qPCR (p < 0.05) compared to nasal swabs of sows. In suckling piglets, significant higher rates of swIAV detection could be observed for nasal swabs (p = 0.007) and sow udder skin wipes (p = 0.036) compared to contact wipes. In the nursery, group sampling specimens were significantly more often swIAV positive compared to individual samples (p < 0.01), with exception of the comparison between contact wipes and nasal swabs (p = 0.181). However, in general nasal swabs were more likely to have Ct-value < 32 and thus, to be suitable for subtyping by RT-qPCR compared to dust wipes, contact wipes, udder skin wipes and tracheobronchial swabs (p < 0.05). Interestingly, different subtypes were found in different age groups as well as in different specimens in the same holding.ConclusionAlthough population-based specimens are highly effective for swIAV monitoring, nasal swabs are still the preferable sampling material for the surveillance of on-farm circulating strains due to significantly higher virus loads. Remarkably, sampling strategies should incorporate suckling piglets and different age groups within the nursery to cover as many as possible of the on-farm circulating strains.

Automating data classification for label-free point-of-care biosensing in real complex samples

Surface-based affinity biosensors present a promising avenue for point-of-care (POC) pathogen detection in real-world samples. While laboratory-based devices commonly employ various techniques to mitigate noise, signal drifts, fluidic artifacts, and other system imperfections, their simple cost-effective POC counterparts designed for field use frequently lack such capabilities. This paper addresses this gap by introducing a procedure for automatically classifying pathogen presence in unprocessed liquids from direct detection data measured by a simple POC quartz crystal microbalance sensor device. The procedure integrates classical analytical tools such as filtering, data selection, baseline de-drifting, and result calculation in tailored successive steps, considering the nature of the sensor signal and the challenges posed by real-world media. We show that the developed procedure exhibits exceptional robustness across different biosensing assays and complex real-world media. Through optimizing parameters using diverse datasets encompassing Escherichia coli O157:H7 (E. coli) and SARS-CoV-2 detection in various media including food-derived matrices and cell culture media, we achieved rates of successful detection as high as 80.8 % and 90.9 % for E. coli and SARS-CoV-2, respectively, without extensive machine learning. Furthermore, we analyse the sensitivity of the procedure to variations of input parameters and with examples discuss key factors influencing overall procedure accuracy. Our results suggest that this exceptionally robust method holds potential as a straightforward tool for automating sample classification in point-of-care diagnostics, underpinning its promising broader applicability.

Increased risk of fetal left-right asymmetry disorders associated with maternal SARS-CoV-2 infection during the first trimester.

Our center has observed a substantial increase in the detection rate of fetal left-right(LR) asymmetry disorders between March and May 2023. This finding has raised concerns because these pregnant women experienced the peak outbreak of SARS-CoV-2 in China during their first trimester. To explore the relationship between maternal SARS-CoV-2 infection and fetal LR asymmetry disorders. A retrospective collection of clinical and ultrasound data diagnosed as fetal LR asymmetry disorders was conducted from January 2018 to December 2023. The case-control study involved fetuses with LR asymmetry disorders and normal fetuses in a 1:1 ratio. We evaluated and compared the clinical and fetal ultrasound findings in pregnant women with SARS-CoV-2 infection and pregnant women without infection. The Student t-test was utilized to compare continuous variables, while the chi-squared test was employed for univariable analyses. The incidence rate of LR asymmetry disorders from 2018 to 2023 was as follows: 0.17‰, 0.63‰, 0.61‰, 0.57‰, 0.59‰, and 3.24‰, respectively. A total of 30 fetuses with LR asymmetry disorders and 30 normal fetuses were included. This case-control study found that SARS-CoV-2 infection (96.67% vs 3.33%, P = .026) and infection during the first trimester (96.55% vs 3.45%, P = .008) were identified as risk factors. The odds ratio values were 10.545 (95% CI 1.227, 90.662) and 13.067 (95% CI 1.467, 116.419) respectively. In cases of SARS-CoV-2 infection in the first trimester, the majority of infections (88.1%, 37/42) occurred between 5 and 6weeks of gestation. We found that 43.7% (66/151) of fetuses with LR asymmetry disorder had associated malformations, 90.9% (60/66) exhibited cardiac malformations. SARS-CoV-2 infection during the first trimester significantly increases the risk of fetal LR asymmetry disorders, particularly when the infection occurs between 5 and 6 gestation weeks. The most common associated malformation is heart malformation.

First molecular survey of tick-borne protozoan and bacterial pathogens in the questing tick population in Bangladesh

Questing ticks carry various tick-borne pathogens (TBPs) that are responsible for causing tick-borne diseases (TBDs) in humans and animals around the globe, especially in the tropics and sub-tropics. Information on the distribution of ticks and TBPs in a specific geography is crucial for the formulation of mitigation measures against TBDs. Therefore, this study aimed to survey the TBPs in the questing tick population in Bangladesh. A total of 2748 questing hard ticks were collected from the pastures in Sylhet, Bandarban, Sirajganj, Dhaka, and Mymensingh districts through the flagging method. After morphological identification, the ticks were grouped into 142 pools based on their species, sexes, life stages, and collection sites. The genomic DNA extracted from tick specimens was screened for 14 pathogens, namely Babesia bigemina (AMA-1), Babesia bovis (RAP-1), Babesia naoakii (AMA-1), Babesia ovis (18S rRNA), Theileria luwenshuni (18S rRNA), Theileria annulata (Tams-1), Theileria orientalis (MPSP), Anaplasma marginale (groEL), Anaplasma phagocytophilum (16S rRNA), Anaplasma bovis (16S rRNA), Anaplasma platys (16S rRNA), Ehrlichia spp. (16S rRNA), Rickettsia spp. (gltA), and Borrelia (Bo.) spp. (flagellin B) using genus and species-specific polymerase chain reaction (PCR) assays. The prevalence of the detected pathogens was calculated using the maximum likelihood method (MLE) with 95 % confidence interval (CI). Among 2748 ixodid ticks, 2332 (84.86 %) and 416 (15.14 %) were identified as Haemaphysalis bispinosa and Rhipicephalus microplus, respectively. Haemaphysalis bispinosa was found to carry all the seven detected pathogens, while larvae of R. microplus were found to carry only Bo. theileri. Among the TBPs, the highest detection rate was observed in A. bovis (20/142 pools, 0.81 %, CI: 0.51–1.20), followed by T. orientalis (19/142 pools, 0.72 %, CI: 0.44–1.09), T. luwenshuni (9/142 pools, 0.34 %, CI: 0.16–0.62), B. ovis (4/142 pools, 0.15 %, CI: 0.05 – 0.34) and Bo. theileri (4/142 pools, 0.15 %, CI: 0.05–0.34), Ehrlichia ewingii (3/142 pools, 0.11 %, CI: 0.03–0.29), and Babesia bigemina (1/142, 0.04 %, CI: 0.00 – 0.16). This study reports the existence of T. luwenshuni, E. ewingii, and Bo. theileri in Bangladesh for the first time. The novel findings of this study are the foremost documentation of transovarian transmission of B. bigemina and E. ewingii in H. bispinosa and also provide primary molecular evidence on the presence of E. ewingii and Bo. theileri in H. bispinosa. Therefore, this study may shed light on the circulating TBPs in ticks in the natural environment and thereby advocate awareness among physicians and veterinarians to control and prevent TBDs in Bangladesh.

Protocol for a prospective multicenter randomized controlled trial to evaluate the efficacy of texture and color enhancement imaging (TXI) observation in the detection of colorectal lesions (deTXIon study).

Colonoscopy is the gold standard for detecting and resecting adenomas or early stage cancers to reduce the incidence and mortality rates of colorectal cancer. In a recent observational study, texture and color enhancement imaging (TXI) was reported to improve polyp detection during colonoscopy. This randomized controlled trial involving six Japanese institutions aims to confirm the superiority of TXI over standard white-light imaging (WLI) in detecting colorectal lesions during colonoscopy. During the 1-year study period, 960 patients will be enrolled, with 480 patients in the TXI and WLI groups. The primary endpoint is the mean number of adenomas detected per procedure. The secondary endpoints include adenoma detection rate, advanced adenoma detection rate, polyp detection rate, flat polyp detection rate, depressed lesion detection rate, mean polyps detected per procedure, sessile serrated lesion (SSL) detection rate, mean SSLs detected per procedure and adverse events.

Untangling the Complex Associations between Socioeconomic and Demographic Characteristics and Prenatal Detection and Outcomes in Congenital Heart Disease.

Recent literature has established a strong foundation examining the associations between socioeconomic/demographic characteristics and outcomes for congenital heart disease. These associations are found beginning in fetal life and influence rates of prenatal detection, access to timely and appropriate delivery room and neonatal interventions, and surgical and other early childhood outcomes. This review takes a broad look at the existing literature and identifies gaps in the current body of research, particularly as it pertains to disparities in the prenatal detection of congenital heart disease within the United States. It also proposes further research and interventions to address these health disparities.

Ultrasonography is an effective method for evaluating hepatosplenic fungal infections in pediatric onco-hematological patients.

This prospective study assessed the value of ultrasonography (US) in the evaluation of hepatosplenic fungal infections (HSFI). Thirty-two pediatric participants with confirmed onco-hematological diseases and HSFI were included. Lesions in the liver and/or spleen were detected by US, magnetic resonance imaging (MRI), or computed tomography (CT). Of the participants, 11 (34%) had confirmed HSFI, while 21 (66%) had highly suspected HSFI. The US, CT, MRI, and fungal blood cultures demonstrated positive results in 31, 19, 25, and 7 patients, respectively. US had a significantly higher detection rate than CT, MRI, and fungal blood cultures (p < 0.05). The "bull's eye" phenomenon was a distinctive US feature of HSFI. Follow-up examinations indicated that after a mean of 7.7 (1-15) months, liver and/or spleen lesions disappeared in five patients. The lesion was significantly smaller in 10 patients. Residual calcifications were detected in 15 patients. Two patients died. Conclusively, the US may substitute for tissue biopsy, other imaging modalities, or fungal blood culture for the confirmation of HSFI, and may guide better antifungal treatment, thus achieving better outcomes.

Prospective Validation of Glial Fibrillary Acidic Protein, d ‐Dimer, and Clinical Scales for Acute Large‐Vessel Occlusion Ischemic Stroke Detection

BACKGROUND Large‐vessel occlusion (LVO) ischemic stroke is responsible for significant morbidity and mortality. We have previously described a novel tool for acute LVO detection that combines blood‐based biomarkers (glial fibrillary acidic protein and d ‐dimer) with stroke severity scales to achieve high accuracy. Accordingly, the present study sought to prospectively validate cutoff values that we had previously established for biomarkers and scales. METHODS The TIME (Testing for Identification Markers of Stroke) trial was designed as a prospective observational diagnostic accuracy study. All ambulance‐identified stroke code activations &lt;18 hours from symptom onset were recruited at Brandon Regional Hospital (Brandon, FL) between May 2021 and August 2022. Previously determined cutoff concentrations of plasma glial fibrillary acidic protein (213 pg/mL) and d ‐dimer (600 ng/mL) were used in combination with prehospital stroke scales to detect LVO. We compared rates of LVO detection against a reference standard using computed tomography/magnetic resonance angiography. RESULTS A total of 382 patients with suspected stroke were recruited. The final cohort was composed of 323 patients with suspected stroke with the following distribution: LVO ischemic stroke (n = 29, 9%), non‐LVO ischemic stroke (n = 48, 15%), hemorrhagic stroke (n = 13, 4%), transient ischemic attack (n = 12, 3.9%), and stroke mimics (n = 220, 68.1%). Combining blood‐based biomarkers (glial fibrillary acidic protein and d ‐dimer) with the scale field assessment stroke triage for emergency destination yielded the best performance for LVO detection, with specificity of 94% and sensitivity of 71%. Performance was found to be higher in a subanalysis focusing on patients presenting &lt;6 hours from symptom onset, with 93% specificity and 81% sensitivity. Critically, application of the biomarker and stroke scale algorithms ruled out all patients with hemorrhage. CONCLUSION The present work prospectively validated the potential utility of previously defined glial fibrillary acidic protein and d ‐dimer cutoff levels (ie, 213 pg/mL and 600 ng/mL, respectively), demonstrating their value for discrimination of LVO stroke from differential diagnoses during code stroke workups. (ClinicalTrials.gov number, NCT04292600.)

Homogenization Path Based on 250 mm × 280 mm Bloom under Mixed Light and Heavy Presses: Simulation and Industrial Studies

This study proposed a new method for homogenizing continuous casting blooms based on solidification simulation calculations and industrial tests. The text describes a theoretical analysis of the solidification route of a cast billet of high-carbon alloy steel (B300A) under different process conditions. It summarizes the changing law of different under-pressure process parameters and under-pressure efficiency. The text also presents a solution to the seriousness of center shrinkage defects in the continuous casting of a large square billet of high-carbon alloy steel with the synergistic control technology of mixed light and heavy mixing under pressure. The study indicates that the center carbon segregation index of a high carbon steel continuous casting billet is 1.05, with a carbon extreme difference of not more than 0.08% and a proportion of 98.4%. Additionally, the center shrinkage is not more than a 0.5 level with a proportion of 99.5%. Meanwhile, the internal quality of cast billets has been improved, allowing for the rolling of large-size bars with a low consolidation ratio. The pass rate for internal ultrasonic flaw detection using the GB/T4162A grade is now higher than 99.95%, significantly reducing process costs and improving production efficiency for continuous casting and rolling.

Study on the Status quo of Mental Health Education for 12th Grade Students

The adolescent period is a critical stage for children's rapid physical and mental growth and self-awareness development, which is prone to various psychological and emotional problems. According to the Report on the Development of China's National Mental Health (2019-2020), the detection rate of depression among adolescents in 2020 was 24.6 percent, of which 7.4 percent were severely depressed. In addition, depression increases with grade level, with more than 10 percent of high school students suffering from severe depression. It is not difficult to see that the mental health of teenagers is not optimistic. In order to explore the influence of family and school education on the mental health of high school students, I will design a group of classified questionnaires for senior high school students. My expected goal was to conclude that students who received positive help from their families and teachers were psychologically healthier than those who did not.

Rapid detection of virulence-related genes by multiplex PCR in five pathogenic bacteria of mulberry bacterial wilt

Mulberry bacterial wilt is a devastating disease that is difficult to control and causes serious economic losses to the sericulture industry. This disease is mostly caused by a diverse group of pathogenic and opportunistic bacteria including, Ralstonia pseudosolanacearum, Pantoea ananatis, Enterobacter cloacae complex (ECC), Klebsiella pneumoniae species complex (KpSC), and K. oxytoca complex (KoC). Due to the lack of a rapid and reliable test to simultaneously detect these complex pathogens of mulberry wilt, we developed a multiplex PCR (mPCR) assay to detect five virulence-related genes carried by the pathogenic bacteria of mulberry bacterial wilt disease. The primers were designed for the virulence-related genes: pleD (GGDF structural domain-containing protein), yjfP (esterase), pelY (peripheral pectate lyase), ampD (N-acetyl-anhydromuranmyl-L-alanine amidase), and ripW (type III effector). Overall, the developed mPCR assay showed highly specific, sensitive and reproducible detection of target pathogens. Briefly, the results showed that the mPCR was highly specific in individual reactions, and the lowest detection concentration of the five pathogenic bacteria was 1.87 × 103 CFU/mL (DNA = 2.45 pg/μL). From 46 natural mulberry wilt samples, the mPCR detection rates of P. ananatis, ECC, KpSC, KoC and R. pseudosolanacearum were 8.69, 91.3, 34.7, 23.9 and 65.21%, respectively. The traditional culture media isolation methods showed comparable results. The pathogenicity test of 84 suspected pathogenic bacteria revealed that the morbidity (average morbidity level) caused by the pathogenic bacteria detected by mPCR was ≥ 65.5%, while the morbidity of the undetected pathogenic bacteria was ≤ 35.5%. Based on these results, we believe that the mPCR developed in the present study will be useful in rapid, reproducible, and sensitive detection of the pathogenic bacteria causing mulberry bacterial wilt including, R. pseudosolanacearum, P. ananatis, ECC, KpSC, and KoC.Graphical abstract

Mammalian community responses in relation to anthropogenic disturbances and resource gradients in the shade coffee forest ecosystem of Southwestern Ethiopia

Understanding the effects of variation in resource availability and habitat disturbance on the ecology of mammals is vital for successful conservation management. In this study, we examined how human disturbances, resource availability and elevation gradients influence mammal assemblages in both managed coffee forest and natural forest of the Belete-Gera National Forest Priority Area, southwestern Ethiopia. We surveyed mammals using motion-detecting infrared camera traps in 90 locations for a total of 4142 camera days. We measured distance from main roads and settlements as disturbance factors, and distance from water sources, key grazing sites, and forest edges and woody plant diversity as resource variables. We assessed the mammal assemblages in coffee forest and natural forests using generalized linear models. Further, we used linear modelling to compare the relationships of mammal detection rates by feeding guilds and body size to resource variables. In total, we recorded 8815 videos identifying 23 different mammal species. The mammal assemblages in coffee forests were negatively associated with increasing distances from key grazing sites, water sources, and elevation. In contrast, the association with increasing distance from the road and woody plant diversity was positive. In addition, herbivores and large (25–200 kg) and very large (≥200 kg) mammals, were all negatively associated with increasing distance from the natural forest edges. With the conversion of natural forest to coffee forest and the intensification of coffee forest management, sustainable management of key grazing sites, water sources, and diverse woody plant species will be essential to the conservation of mammals. In addition, to ensure mammal conservation, adjacent natural forests around coffee forests should also be protected.

Understanding the Impact of Changes in Application Characteristics on SRGM

Due to the increasing reliance on technology in nearly every industry over the past three decades, it has become necessary to evaluate the performance of a software product prior to its formal release in the market. The properties of a software application, such as its complexity and lines of code, are subject to change over time as a result of factors namely the testing environment, allocation of resources, testing efficiency, and testing team’s expertise. The assumption of constant Fault Detection Rate (FDR) may not accurately anticipate the potential number of bugs correctly. Keeping all these considerations in mind, a framework is developed to incorporate change point in the development of a testing effort-based Software Reliability Growth Model (SRGM) that takes into account the effect of application characteristics under both perfect and imperfect debugging settings. In addition, these outcomes are compared to the model without a change point. The proposed model is validated on two real-life software fault datasets. The results demonstrate that the proposed model performs better than the model without a change point.

Wheat ear detection based on FasterCANet-YOLOv8s algorithm

ABSTRACT The application of neural networks in wheat ear detection and counting in smart agriculture holds significant value, showcasing how artificial intelligence technology brings innovation and improvement to the agricultural sector. However, due to the high density, variety, and complex growth cycles of wheat ears, as well as the influence of complex backgrounds during detection, issues such as false positives, false negatives, and low detection rates may arise. Addressing these challenges, this paper proposes a wheat ear detection solution based on the FasterCANet-YOLOv8s algorithm. Firstly, the FasterCANet Block is introduced to enhance the speed of wheat detection. Secondly, an efficient network structure, the QAFPN model, is proposed to strengthen the Neck network, achieving a balance between speed and accuracy in wheat detection. Finally, to better capture the features of small targets, the RFB Block is introduced to improve the SPPF layer. The improved algorithm achieves an mAP@0.5 of 94.4%, surpassing existing technologies. Our model can accurately and quickly locate targets, holding tremendous potential in the wheat cultivation domain and providing efficient and precise support for agricultural production.

Presence of herpesviruses, parvoviruses, and polyomaviruses in sinonasal lymphoma.

Sinonasal lymphoma (SL) is a rare lymphatic neoplasm of the nasal cavities, paranasal sinuses and nasopharynx. Whereas some risk factors for SL subtypes have been identified, their aetiology is unknown. Along with other predisposing factors, the viral association of lymphomas, such as Epstein-Barr virus (EBV) and Burkitt and Hodgkin lymphomas, is well-established. Modern molecular biology techniques have enabled the discovery of novel human viruses, exemplified by the protoparvovirus cutavirus (CuV), associated with cutaneous T-cell lymphoma. These findings, and the anatomical location of the sinonasal tract with its rich microbiome and infectious agents, justify in-depth studies among SL. We analysed the presence of 20 viruses of Orthoherpesviridae, Parvoviridae, and Polyomaviridae by qPCR in 24 SL tumours. We performed RNAscope in situ hybridisation (RISH) to localize the viruses. Parvovirus-specific IgG was analysed by enzyme immunoassay and targeted next-generation sequencing (NGS) was applied to detect CuV in plasma. We detected viral DNA in 15/24 (63%) tumours; nine of EBV, six of human herpesvirus (HHV) -7, four each of HHV-6B and parvovirus B19, two of cytomegalovirus, and one each of CuV and Merkel-cell polyomavirus. We found tumours with up to four viruses per tumour, and localized CuV and EBV DNAs by RISH. Two of the ten plasma samples exhibited CuV IgG, and one plasma sample demonstrated CuV viremia by NGS. Viruses were frequent findings in SL. The EBV detection rate was high in diffuse large B-cell lymphoma, and co-detections with other viruses were prevalent.

Chromosomal aberration analysis: Novel noninvasive techniques for early-stage cancer screening

ObjectiveChromosome breakage is a catastrophic event that leads to the progressive development and progression of cancer. In order to analyze the changes of peripheral blood microenvironment of tumor patients, to explore the indicators of non-specific non-invasive tumor early screening. This paper presents a new idea of whether the gene sequence near the DNA damage break point is the gene sequence that controls the unrestricted growth of normal cells. MethodsThe chromosomal aberrations of peripheral blood lymphocytes were analysed in 60 healthy adult and 49 cancer patients before radiotherapy. ResultsThe detection rate of chromosomal aberrations was high in tumor patients, and “dicentric + translocations” of chromosomes were detected in 36 patients (73.47 %). The chi-square test showed statistically significant differences (P < 0.01), and chromosome adhesion and dissolution were observed. Conclusions“Dicentric + Translocation” chromosome can be used as a nonspecific early screening indicator for cancer. This is worthy of further study. This index can be used to determine the genetic basis of various cancers at the gene level to modify the base sequence and prevent the occurrence of cancer. It is worthy of further study, and it can provide a new method for gene therapy of tumors.

Comparison of effective imaging modalities for detecting gastric neoplasms: A randomized three-arm phase II trial.

The early detection of gastric neoplasms (GNs) leads to favorable treatment outcomes. The latest endoscopic system, EVIS X1, includes third-generation narrowband imaging (3G-NBI), texture and color enhancement imaging (TXI), and high-definition white-light imaging (WLI). Therefore, this randomized phase II trial aimed to identify the most promising imaging modality for GN detection using 3G-NBI and TXI. Patients with scheduled surveillance endoscopy after a history of esophageal cancer or GN or preoperative endoscopy for known esophageal cancer or GN were randomly assigned to the 3G-NBI, TXI, or WLI groups. Endoscopic observations were performed to detect new GN lesions, and all suspected lesions were biopsied. The primary endpoint was the GN detection rate during primary observation. Secondary endpoints were the rate of missed GNs, early gastric cancer (EGC) detection rate, and positive predictive value (PPV) for a GN diagnosis. The decision rule had a higher GN detection rate between 3G-NBI and TXI, outperforming WLI by >1.0%. Finally, 901 patients were enrolled and assigned to the 3G-NBI, TXI, and WLI groups (300, 300, and 301 patients, respectively). GN detection rates in the 3G-NBI, TXI, and WLI groups were 7.3, 5.0, and 5.6%, respectively. The rates of missed GNs were 1.0, 0.7, and 1.0%, the detection rates of EGC were 5.7, 4.0, and 5.6%, and the PPVs for the diagnosis of GN were 36.5, 21.3, and 36.8% in the 3G-NBI, TXI, and WLI groups, respectively. Compared to TXI and WLI, 3G-NBI is a more promising modality for GN detection.

Potential of a laser pointer contact lens to improve the reliability of video-based eye-trackers in indoor and outdoor conditions.

Many video-based eye trackers rely on detecting and tracking ocular features, a task that can be negatively affected by a number of individual or environmental factors. In this context, the aim of this study was to practically evaluate how the use of a scleral contact lens with two integrated nearinfrared lasers (denoted CLP) could improve the tracking robustness in difficult lighting conditions, particularly outdoor ones. We assessed the ability of the CLP (on a model eye) to detect the lasers and to deduce a gaze position with an accuracy better than 1° under four lighting conditions (1 lx, 250 lx, 50 klux and alternating 1lx /250 lx) on an artificial eye. These results were compared to the ability of a commercial eye tracker (Pupil Core) to detect the pupil on human eyes with a confidence score equal to or greater than 0.9. CLP provided good results in all conditions (tracking accuracy and detection rates). In comparison, the Pupil Core performed well in all indoor conditions (99% detection) but failed in outdoor conditions (9.85% detection). In conclusion, the CLP presents strong potential to improve the reliability of video-based eyetrackers in outdoor conditions by providing easy trackable feature.