Primary Screening Tool Research Articles

Rapid antigen detection test for diagnosis of post kala-azar dermal leishmaniasis: application of CL Detect™ rapid test for active case detection in the endemic area.

Post-kala-azar dermal leishmaniasis (PKDL) is a skin condition that occurs in a small percentage of people who have been cured of visceral leishmaniasis (VL), and contributes to transmission of VL. The rK39 rapid test cannot decisively diagnose PKDL due to presence of antileishmanial antibodies from past VL episodes. CL Detect™ Rapid Test, an in-vitro diagnostic test that detects Leishmania antigen peroxidoxin, was assessed for diagnosing PKDL. The CL Detect RDT had 73.3% sensitivity and 100% specificity in the study. The test can be used as a primary screening tool to monitor PKDL in endemic regions and identify active Leishmania infection.

Distribution of Fibrosis-4 index and vibration-controlled transient elastography-derived liver stiffness measurement for patients with metabolic dysfunction-associated steatotic liver disease in health check-up.

The multisociety consensus nomenclature has introduced steatotic liver disease (SLD) with diverse subclassifications, which are metabolic dysfunction-associated steatotic liver disease (MASLD), metabolic dysfunction and alcohol-associated steatotic liver disease (MetALD), alcohol-associated liver disease (ALD), specific etiology, and cryptogenic. We investigated their prevalence, as per the new definition, in individuals undergoing health check-ups. Additionally, we analyzed the distribution of Fibrosis-4 (FIB-4) index and vibration-controlled transient elastography (VCTE)-derived liver stiffness measurement (LSM) for MASLD. In this cross-sectional study, 6530 subjects undergoing a health check-up in Japan were included. Conventional B-mode ultrasound was carried out on all 6530 subjects, and those with MASLD underwent VCTE. The prevalence of SLD was 39.5%, comprising MASLD 28.7%, MetALD 8.6%, ALD 1.2%, specific etiology SLD 0.3%, and cryptogenic SLD 0.7%. Subjects with VCTE-derived LSM ≥8kPa constituted 2.1% of MASLD. FIB-4 ≥1.3 showed that the sensitivity, specificity, positive predictive value (PPV), and negative predictive value for diagnosing VCTE-derived LSM ≥8kPa were 60.6%, 77.0%, 5.3%, and 98.9%, respectively. The referral rate to specialists was 23.8% using FIB-4 ≥1.30. "FIB-4 ≥1.3 in subjects <65years and FIB-4 ≥2.0 in subjects ≥65years" showed higher PPV (6.7%) and lower referral rate (17.1%) compared with FIB-4 ≥1.3, but the sensitivity (54.5%) did not show adequate diagnostic capability as a noninvasive test for diagnosing VCTE-derived LSM ≥8kPa. Acknowledging the selection bias in hepatology centers, we undertook this prospective health check-up study. Although the FIB-4 index proves to be a convenient marker, it might not perform well as a primary screening tool for liver fibrosis in the general population (UMIN Clinical Trials Registry No. UMIN000035188).

Radiograph accelerated detection and identification of cancer in the lung (RADICAL): a mixed methods study to assess the clinical effectiveness and acceptability of Qure.ai artificial intelligence software to prioritise chest X-ray (CXR) interpretation

IntroductionDiagnosing and treating lung cancer in early stages is essential for survival outcomes. The chest X-ray (CXR) remains the primary screening tool to identify lung cancers in the UK; however,...

Dysglycaemia screening and its prognostic impact in patients with coronary artery disease: experiences from the EUROASPIRE IV and V cohort studies

Glucose perturbations can be detected by fasting plasma glucose (FPG), HbA1c, and the oral glucose tolerance test (OGTT). The highest yield is provided by OGTT. HbA1c is considered more practical. We compare the diagnostic and predictive performance of these glycaemic indicators based on combined data from the EUROASPIRE IV (EAIV) and V (EAV) studies. This cohort study was conducted in 79 centres in 24 European countries (EAIV) and 131 centres in 27 European countries (EAV). Eligible patients were aged 18-80 years, did not have diabetes, and were diagnosed with coronary artery disease 6-36 months (EAIV) or 6-24 months (EAV) before the investigation. Patients were investigated with OGTT (FPG and 2 h post-load glucose [2-hPG]) and HbA1c. Follow-up of subsequent cardiovascular events was done by means of a questionnaire at least 1 year after the baseline investigation. Analyses were done in patients with both OGTT and HbA1c data available. Outcome analysis in these patients was restricted to those with valid follow-up data available. 16 259 patients were interviewed in EAIV (2012-13) and EAV (2016-17). 8364 patients had both OGTT and HbA1C data and were included in the analysis population (3932 in EAIV and 4432 in EAV). Information on cardiovascular events was available in 7892 patients. Follow-up was for a median 1·6 years (IQR 1·2-2·0). The average patient age was 63·3 years (SD 9·8), and 6346 (75·9%) of 8364 patients were men. At baseline, 1856 (22·5%) of 8263 patients were determined to have newly detected type 2 diabetes using OGTT alone, compared with 346 (4·2%) using HbA1c alone. New dysglycaemia, defined as newly detected type 2 diabetes or impaired glucose tolerance (IGT), was present in 3896 (47·1%) of the patients according to 2hPG. 2hPG 9 mmol/L or greater (162 mg/dL, adjusted hazard ratio [aHR] 1·58; 95% CI 1·27-1·95, p<0·0001), and HbA1c 5·9% or greater (41 mmol/mol, aHR 1·48, 1·19-1·84; p=0·0010) were the strongest predictors of cardiovascular events, while FPG did not predict. A multivariable model showed that the effect of HbA1c on cardiovascular events was mainly explained by 2hPG (aHR for 1 unit increase in HbA1c 1·13, 0·98-1·30; p=0·11; and aHR for 1 unit increase in Ln[2hPG] 1·37, 1·08-1·74; p=0·0042). 2hPG appears better than HbA1c in detecting dysglycaemia and predicting its impact on future cardiovascular events in patients with coronary artery disease and should be recommended as the primary screening tool. Swedish Heart-Lung Foundation, Region Stockholm (ALF), the Erling Persson Foundation, the Baltic Child Foundation.

Rapid and low-cost detection of saffron (Crocus sativus L.) adulteration using smartphone videos and spectral data fusion strategy

Saffron (Crocus sativus L.) is the most expensive spice in the world and is highly susceptible to economically motivated adulteration. Hyperspectral imaging (HSI) and near-infrared (NIR) spectroscopy are recently popular techniques for rapid, non-destructive detection of saffron adulteration. However, the high cost and measurement complexity of these techniques make them less suitable for consumer-level applications. In this work, a smartphone video-based system combined with chemometrics is used to detect saffron adulteration. A smartphone is utilised to capture short videos of pure and adulterated saffron powder samples illuminated by its colour-changing screen. The video frames are decomposed into RGB colour images and converted into spectral-like data. Partial least squares regression is used to model the relationship between data and saffron purity. The smartphone video-based system obtains a coefficient of determination of 0.9774 for prediction, which is comparable to reference techniques such as NIR spectroscopy and HSI. Moreover, it is efficient in presenting distribution maps related to saffron purity. In addition, when used in conjunction with the smartphone video-based system, HSI and NIR spectroscopy achieve higher performance without significantly increasing measurement cost and complexity. Such results suggest that the smartphone video-based system has the potential to be a viable primary screening and auxiliary tool for detecting saffron adulteration.

Detection and differentiation of low virulence and virulent Orthoavulavirus javaense using a molecular beacon with RT-LAMP

Newcastle disease (ND), an economically important disease in poultry, is caused by virulent strains of the genetically diverse Orthoavulavirus javaense (OAVJ). Laboratories rely on quantitative real-time reverse transcription PCR (qRT-PCR) to detect OAVJ and differentiate between OAVJ pathotypes. This study demonstrates that a fusion cleavage site based molecular beacon with reverse transcription loop mediated isothermal amplification (MB-RT-LAMP) assay can detect and differentiate OAVJ pathotypes in a single assay. Data show that the assay can rapidly identify diverse OAVJ genotypes with sensitivity only one log-fold lower than the current fusion qRT-PCR assay (104 copies), exhibits a high degree of specificity for OAVJ, and the molecular beacon can differentiate mesogenic/velogenic sequences from lentogenic sequences. Further, data show that a two-minute rapid lysis protocol preceding MB-RT-LAMP can detect and differentiate OAVJ RNA from both spiked samples and oropharyngeal swabs without the need for RNA isolation. As the MB-RT-LAMP assay can rapidly detect and discriminate between lentogenic and mesogenic/velogenic sequences of OAVJ within one assay, without the need for RNA isolation, and is adaptable to existing veterinary diagnostic laboratory workflow without additional equipment, this assay could be a rapid primary screening tool before qRT-PCR based validation in resource limited settings.

Imaging Spectrum in Pulmonary Tuberculosis

AbstractPulmonary tuberculosis is one of the most common pulmonary infections prevalent in our country. Although definitive diagnosis is microbiological, characteristic imaging features help in establishing a certain diagnosis in most of the cases. While chest radiography remains the primary screening tool, computed tomography helps in clinching the diagnosis with a spectrum of findings described on cross-sectional imaging. The radiologist must be familiar with the features denoting potential complications and differential diagnosis to aid better treatment planning and case prognostication. This article describes in detail the imaging features of pulmonary tuberculosis, active disease, disease sequelae, and complications.

Advantages and Limitations of the Body Mass Index (BMI) to Assess Adult Obesity.

Obesity reflects excessive fat deposits. At-risk individuals are guided by healthcare professionals to eat fewer calories and exercise more, often using body mass index (BMI; weight/height2) thresholds for screening and to guide progress and prognosis. By conducting a mini-narrative review of original articles, websites, editorials, commentaries, and guidelines, we sought to place BMI in the context of its appropriate use in population health, clinical screening, and monitoring in clinical care. The review covers studies and publications through 2023, encompassing consensus reviews and relevant literature. Recent consensus reviews suggest that BMI is a valuable tool for population surveys and primary healthcare screening but has limitations in predicting the risk of chronic diseases and assessing excess fat. BMI can guide nutritional and exercise counseling, even if it is inadequate for reliable individual risk prediction. BMI cut-offs must be reconsidered in populations of varying body build, age, and/or ethnicity. Since BMI-diagnosed overweight persons are sometimes physically and physiologically fit by other indicators, persons who are overweight on BMI should be more fully evaluated, diagnosed, and monitored with combined anthropometric and performance metrics to better clarify risks. The use of combined anthropometric and performance metrics involves integrating measurements of body composition with assessments of physical function and fitness to provide a more comprehensive evaluation of an individual's health and fitness status. Eligibility for bariatric surgery or semaglutide satiety/appetite-reduction medications should not be determined by BMI alone. Awareness of the advantages and limitations of using BMI as a tool to assess adult obesity can maximize its appropriate use in the context of population health and in rapid clinical screening and evaluation.

Prevalence and risk factors associated with precancerous and cancerous cervical lesions among HIV-infected women in University of Gondar specialized comprehensive referral hospital, Northwest Ethiopia: cross-sectional study design

BackgroundCervical cancer is one of the leading causes of death in women worldwide. The majority of the cases are found in developing countries. The increasing risk of cervical cancer prevalence and growing danger of death from cervical cancer and the high occurrence of human papillomavirus (HPV) infection in women who are HIV positive give us the ground to study the prevalence and associated risk factors.ObjectiveThe study aims to assess the prevalence of cervical cancer screening and associated risk factors among HIV-positive women attending the Adult ART clinic at the University of Gondar Hospital.MethodsAn institution-based cross-sectional study was conducted from March to August 2021, on adult HIV-positive women attending the Adult ART clinic at Gondar University Referral Hospital by phone calling patients per week for six months to complete a total of 2744 HIV-positive patients who were not screened for cervical cancer before. The data were collected using an interviewer-administered questionnaire. Bivariate and multivariable logistic regression analyses were used to determine the presence and the degree of association between dependent and independent variables. In the multivariable logistic analysis, a P-value of < 0.05 and odds ratio with a 95% confidence interval were considered to determine independent predictors for the prevalence of premalignant or malignant cervical lesions among HIV-positive patients.ResultThis study assessed 915 HIV Positive women who were screened for cervical cancer via visual inspection with acetic acid (VIA) as the primary screening tool and found that 24.48% had positive VIA results. Those with VIA-positive cases pathology examination showed 72.4% had abnormal pathology reports (CIN 1/2/3–51.25%, 17.23% cancer & 3.9% CIS), strengthening the finding in many studies that suggest HIV-positive women have a high rate of premalignant lesions.

Validation of Arabic versions of the child psychosocial distress screener and pediatric symptom checklist for young adolescents living in vulnerable communities in Lebanon

BackgroundIn humanitarian settings, brief screening instruments for child psychological distress have potential to assist in assessing prevalence, monitoring outcomes, and identifying children and adolescents in most need of scarce resources, given few mental health professionals for diagnostic services. Yet, there are few validated screening tools available, particularly in Arabic.MethodsWe translated and adapted the Child Psychosocial Distress Screener (CPDS) and the Pediatric Symptom Checklist (PSC) and conducted a validation study with 85 adolescents (aged 10–15) in Lebanon. We assessed internal consistency; test-retest reliability; convergent validity between adolescent- and caregiver-report and between the two measures; ability to distinguish between clinical and non-clinical samples; and concurrent validity against psychiatrist interview using the Kiddie Schedule for Affective Disorders and Schizophrenia.ResultsThe translated and adapted child-reported PSC-17 and PSC-35, and caregiver-reported PSC-35 all showed adequate internal consistency and test-retest reliability and high concurrent validity with psychiatrist interview and were able to distinguish between clinical and non-clinical samples. However, the caregiver-reported PSC-17 did not demonstrate adequate performance in this setting. Child-reported versions of the PSC outperformed caregiver-reported versions and the 35-item PSC scales showed stronger performance than 17-item scales. The CPDS showed adequate convergent validity with the PSC, ability to distinguish between clinical and non-clinical samples, and concurrent validity with psychiatrist interview. Internal consistency was low for the CPDS, likely due to the nature of the brief risk-screening tool. There were discrepancies between caregiver and child-reports, worthy of future investigation. For indication of any diagnosis requiring treatment, we recommend cut-offs of 5 for CPDS, 12 for child-reported PSC-17, 21 for child-reported PSC-35, and 26 for caregiver-reported PSC-35.ConclusionsThe Arabic PSC and CPDS are reliable and valid instruments for use as primary screening tools in Lebanon. Further research is needed to understand discrepancies between adolescent and caregiver reports, and optimal methods of using multiple informants.

Role of Carotid Ultrasonography Combined with Monocyte/HDL Ratio in Internal Carotid Artery Stenosis.

Carotid duplex ultrasonography (DUS) is the primary screening tool for carotid artery stenosis, but has low reliability. MHR, which is the ratio of monocytes to high-density lipoprotein cholesterol (HDL-C), can be a marker for the degree and distribution of extracranial and intracranial atherosclerotic stenosis. We determined the diagnostic value of DUS+MHR for internal carotid artery (ICA) stenosis. We divided 273 hospitalized patients into non-stenosis (<50%) and ICA stenosis (≥50%) groups based on Digital Subtraction Angiography (DSA). We determined the peak systolic velocity (PSV) in the ICA on DUS, calculated the MHR, and investigated their relationship with ICA stenosis. On DSA, 34.1% (93/273) patients had moderate-to-severe ICA stenosis. DUS and DSA showed low concordance for detecting ICA stenosis (kappa = 0.390). With increasing age, the incidence of moderate-to-severe ICA stenosis increased. PSV, monocyte count, and MHR were significantly greater in the stenosis group than in the non-stenosis group (P < 0.001), while the HDL-C level was significantly lower (P = 0.001). PSV (OR: 1.020, 95% CI: 1.011-1.029, P < 0.001) and MHR (OR: 5.662, 95% CI: 1.945-16.482, P = 0.002) were independent risk factors for ICA stenosis. The area under the receiver operating characteristic curve of PSV+MHR (0.819) was significantly higher than that of PSV or MHR alone (77.42% sensitivity, P = 0.0207; 73.89% specificity, P = 0.0032). The combination of ICA PSV on DUS and MHR is better than PSV alone at identifying ICA stenosis and is well-suited to screen high-risk patients.

Development and Validation of a Risk Prediction Model for Female Stress Urinary Incontinence in Rural Fujian, China.

With China's rapidly aging population and the rising proportion of obese people, an increase in the number of women suffering from urinary incontinence (UI) is to be expected. In order to identify high-risk groups before leakage occurs, we aimed to develop and validate a model to predict the risk of stress UI (SUI) in rural women. This study included women aged 20-70 years in rural Fujian who participated in an epidemiologic survey of female UI conducted between June and October 2022. Subsequently the data was randomly divided into training and validation sets in a ratio of 7:3. Univariate and multivariate logistic regression analyses were used to identify independent risk factors as well as to further construct a nomogram for risk prediction. Finally, concordance index (C-index), calibration curve and decision curve analysis were applied to evaluate the performance of the predictive models. A total of 5290 rural females were enrolled, of whom 771 (14.6%) had SUI. Age, body mass index (BMI), postmenopausal status, number of vaginal deliveries, vaginal delivery of large infant, constipation and family history of pelvic organ prolapse (POP) and SUI were included in the nomogram. C-index of this prediction model for the training and validation sets was 0.835 (95% confidence interval [CI] = 0.818-0.851) and 0.829 (95% CI = 0.796-0.858), respectively, and the calibration curves and decision analysis curves for both the training and validation sets showed that the model was well-calibrated and had a positive net benefit. This model accurately estimated the SUI risk of rural women in Fujian, which may serve as an effective primary screening tool for the early identification of SUI risk and provide a basis for further implementation of individualized early intervention. Moreover, the model is concise and intuitive, which makes it more operational for rural women with scarce medical resources.

Abstract 6091: Multi-cancer early cancer detection and cancer-type identification with high sensitivity non-invasive using urine: Pancreatic lung cancer early detection

Abstract N-NOSE, a breakthrough cancer detection test from HIROTSU BIO SCIENCE, utilizes the unique chemotactic behavior of the nematode C. elegans. This nematode is drawn to the urine of individuals with 15 different types of cancers (including stomach, colon-rectum, lung, breast, pancreas, liver, prostate, uterus, esophagus, gallbladder, bile duct, kidney, urinary bladder, ovary, oropharynx) while avoiding urine from healthy persons, making N-NOSE a comprehensive primary screening tool. It has a high accuracy rate, with 87.5% sensitivity and 90.2% specificity for early-stage cancers. Being non-invasive and reasonably priced, N-NOSE has been a significant success in Japan since its 2020 launch, with over 500,000 screenings.This presentation delves into the technology aspect of N-NOSE in Japan, comparing its clinical research and key findings with competitors to underscore its effectiveness in early cancer detection. Furthermore, N-NOSE now advances to not only detect cancer but also identify its type in a noninvasive way, using urine and with high PPV.With pancreatic cancer being particularly lethal, we outline “N-NOSE plus pancreas,” the world’s first pancreatic cancer detection test at an early stage. This involves genetically modifying C. elegans to react specifically to early-stage pancreatic cancer urine samples, a development centered on the newly identified cr-4 GPCR in AWC neurons. Next, we profile our newest liver-cancer-specific test, “N-NOSE plus liver,” which offers early liver cancer detection with high sensitivity and specificity using urine.Finally, we highlight how N-NOSE bridges the gap in cancer screening and type identification, offering a complete, non-invasive solution. Citation Format: Eric Di Luccio, Takaaki Hirotsu. Multi-cancer early cancer detection and cancer-type identification with high sensitivity non-invasive using urine: Pancreatic lung cancer early detection [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 6091.

Prevention and treatment of hypertensive left ventricular hypertrophy.

Left ventricular (LV) hypertrophy (LVH) is a well recognized target organ adaptation to longstanding uncontrolled hypertension and other cardiovascular risk factors. It is also a strong and independent predictor of many cardiovascular disorders. This focused review explores the current concepts in screening, diagnosis, prevention, and treatment of LVH in patients with hypertension. Currently, the primary screening and diagnostic tools for LVH are ECG and 2D echocardiography. Implementing machine learning in the diagnostic modalities can improve sensitivity in the detection of LVH. Lifestyle modifications, blood pressure control with antihypertensive therapy, and management of comorbidities aid in preventing and reversing LV remodeling. LVH is a common and often silent complication of hypertension. Prevention and reversal of LV remodeling are crucial for cardiovascular risk reduction in patients with hypertension.

Assessment of a screening tool to aid home-based identification of adolescents (aged 10-14) living with HIV in Zambia and South Africa: HPTN 071 (PopART) study.

The HPTN071 (PopART) for Youth (P-ART-Y) study evaluated the acceptability and uptake of a community-level combination HIV prevention package including universal testing and treatment (UTT) among young people in Zambia and South Africa. We determined whether a four-question primary care level screening tool, validated for use in clinical settings, could enhance community (door-to-door) identification of undiagnosed HIV-positive younger adolescents (aged 10-14) who are frequently left out of HIV interventions. Community HIV-care Providers (CHiPs) contacted and consented adolescents in their homes and offered them participation in the PopART intervention. CHiPs used a four question-screening tool, which included: history of hospital admission; recurring skin problems; poor health in last 3 months; and death of at least one parent. A "yes" response to one or more questions was classified as being "at risk" of being HIV-positive. Rapid HIV tests were offered to all children. Data were captured through an electronic data capture device from August 2016 to December 2017. The sensitivity, specificity, positive predictive value and negative predictive value were estimated for the screening tool, using the rapid HIV test result as the gold standard. In our 14 study sites, 33,710 adolescents aged 10-14 in Zambia and 8,610 in South Africa participated in the study. About 1.3% (427/33,710) and 1.2% (106/8,610) self-reported to be HIV positive. Excluding the self-reported HIV-positive, we classified 11.3% (3,746/33,283) of adolescents in Zambia and 17.5% (1,491/8,504) in South Africa as "at risk". In Zambia the estimated sensitivity was 35.3% (95% CI 27.3%-44.2%) and estimated specificity was 88.9% (88.5%-89.2%). In South Africa the sensitivity was 72.3% (26.8%-94.9%) and specificity was 82.5% (81.6-83.4%). The sensitivity of the screening tool in a community setting in Zambia was low, so this tool should not be considered a substitute for universal testing where that is possible. In South Africa the sensitivity was higher, but with a wide confidence interval. Where universal testing is not possible the tool may help direct resources to adolescents more likely to be living with undiagnosed HIV. Clinical Trial Number: NCT01900977.

Comparative evaluation of assay performance for SARS-CoV-2 detection in animal oral samples, lung homogenates, and phosphate-buffered saline using the TaqPath COVID-19 Combo kit.

A One Health approach has been key to monitoring the COVID-19 pandemic, as human and veterinary medical professionals jointly met the demands for an extraordinary testing effort for SARS-CoV-2. Veterinary diagnostic laboratories continue to monitor SARS-CoV-2 infection in animals, furthering the understanding of zoonotic transmission dynamics between humans and animals. A RT-PCR assay is a primary animal screening tool established within validation and verification guidelines provided by the American Association of Veterinary Laboratory Diagnosticians (AAVLD), World Organisation for Animal Health (WOAH), and the U.S. Food and Drug Administration (FDA). However, differences in sample matrices, RNA extraction methods, instrument platforms, gene targets, and cutoff values may affect test outcomes. Therefore, targeted validation for a new sample matrix used in any PCR assay is critical. We evaluated a COVID-19 assay for the detection of SARS-CoV-2 in feline and canine lung homogenates and oral swab samples. We used the commercial Applied Biosystems MagMAX Viral/Pathogen II (MVP II) nucleic acid isolation kit and TaqPath COVID-19 Combo kit, which are validated for a variety of human samples, including nasopharyngeal and oropharyngeal swab samples. Our masked test showed a high detection rate and no false-positive or false-negative results, supporting sample extension to include feline oral swab samples. Our study is a prime example of One Health, illustrating how a COVID-19 assay designed for human testing can be adapted and used to detect SARS-CoV-2 in oral swab samples from cats and likely dogs, but not lung homogenates.

Tumor-derived EV miRNA signatures surpass total EV miRNA in supplementing mammography for precision breast cancer diagnosis.

Background: With the rising global incidence and mortality rates of breast cancer, early diagnosis is becoming increasingly crucial. The World Health Organization (WHO) recommends mammography as a primary screening tool. However, despite its clinical benefits, mammography has potential risks including radiation exposure, unnecessary follow-up, and overdiagnosis due to false positives, particularly in cases of early cancer or dense breast tissue. In this study, we aimed to address these concerns by introducing an innovative diagnostic method that employs circulating biomarkers to enhance the existing screening techniques Methods: Breast cancer-derived extracellular vesicles (BEVs) were isolated from the bloodstream using advanced immunoaffinity capture techniques. Subsequently, we analyzed the microRNA (miRNA) profiles of BEVs in plasma samples from 120 patients with breast cancer, 46 with benign tumors, and 45 healthy controls. Results: This retrospective study identified a distinct signature of five EV miRNAs (miR-21, miR-106b, miR-181a, miR-484, and miR-1260b) that effectively differentiated patients with breast cancer from healthy controls. This signature provides essential insights into tumor progression, metastasis, and the risk of recurrence. Notably, overexpression of this signature correlated with poorer survival outcomes. Conclusions: Our novel gene signature-based approach not only complements existing diagnostic methods with high accuracy but also provides a deeper understanding of the molecular aspects of breast cancer, heralding a significant advancement in precision medicine and personalized cancer care.

Functional Near‐Infrared Spectroscopy‐Based Computer‐Aided Diagnosis of Major Depressive Disorder Using Convolutional Neural Network with a New Channel Embedding Layer Considering Inter‐Hemispheric Asymmetry in Prefrontal Hemodynamic Responses

Background. Functional near‐infrared spectroscopy (fNIRS) is being extensively explored as a potential primary screening tool for major depressive disorder (MDD) because of its portability, cost‐effectiveness, and low susceptibility to motion artifacts. However, the fNIRS‐based computer‐aided diagnosis (CAD) of MDD using deep learning methods has rarely been studied. In this study, we propose a novel deep learning framework based on a convolutional neural network (CNN) for the fNIRS‐based CAD of MDD with high accuracy. Materials and Methods. The fNIRS data of participants—48 patients with MDD and 68 healthy controls (HCs)—were obtained while they performed a Stroop task. The hemodynamic responses calculated from the preprocessed fNIRS data were used as inputs to the proposed CNN model with an ensemble CNN architecture, comprising three 1D depth‐wise convolutional layers specifically designed to reflect interhemispheric asymmetry in hemodynamic responses between patients with MDD and HCs, which is known to be a distinct characteristic in previous MDD studies. The performance of the proposed model was evaluated using a leave‐one‐subject‐out cross‐validation strategy and compared with those of conventional machine learning and CNN models. Results. The proposed model exhibited a high accuracy, sensitivity, and specificity of 84.48%, 83.33%, and 85.29%, respectively. The accuracies of conventional machine learning algorithms—shrinkage linear discriminator analysis, regularized support vector machine, EEGNet, and ShallowConvNet—were 73.28%, 74.14%, 62.93%, and 62.07%, respectively. Conclusions. In conclusion, the proposed deep learning model can differentiate between the patients with MDD and HCs more accurately than the conventional models, demonstrating its applicability in fNIRS‐based CAD systems.

A pilot study of non-invasive diagnostic tools to detect Helicobacter pylori infection and peptic ulcer disease

Helicobacter pylori (H. pylori) infection can lead to various digestive system diseases, making accurate diagnosis crucial. However, not all available tests are equally non-invasive and sensitive. This study aimed to compare the efficacy of non-invasive and invasive diagnostic tools for H. pylori infection and assess their correlation with esophagogastroduodenoscopic (EGD) findings. The study utilized the Campylobacter-Like Organism (CLO) test, serum anti-HP IgG blood test, and C-13-urea breath test (UBT) to diagnose H. pylori infection. A total of 100 patients with peptic ulcer symptoms, including 45 males and 55 females, were recruited for the study. Symptomatic patients between the ages of 20–70, eligible for EGD examination, were enrolled. Each diagnostic test and any combination of two positive tests were considered the reference standard and compared against the other diagnostic methods. Additionally, the relationship between these diagnostic tests and EGD findings was evaluated. Among the participants, 74.0% were diagnosed with peptic ulcer disease through EGD. The UBT demonstrated the highest Youden's index, ranging from 58 to 100%, against all the non-invasive tests. The IgG blood test displayed the highest sensitivity at 100%, with a specificity of 60–70%. On the other hand, the CLO test exhibited the highest specificity at 100% and a sensitivity of 50–85%. Furthermore, only the CLO test showed a significant association with esophageal ulcers (p-value = 0.01). The IgG blood test holds promise as a primary screening tool due to its exceptional sensitivity. While the UBT is relatively expensive, its non-invasive nature and high sensitivity and specificity make it a potential standalone diagnostic test for H. pylori infection. Moreover, the noteworthy negative correlation between the CLO test and esophageal ulcers provides evidence of the differing effects of H. pylori infection on antral-predominant and corpus-predominant gastritis.

Sex differences in the accuracy of vertebral bone quality score assessing bone density in patients undergoing lumbar spinal fusion.

Low bone mineral density (BMD) significantly increases the risk of complications in patients undergoing spinal fusion. Existing evidence indicates that traditional dual-energy x-ray absorptiometry (DEXA) and quantitative CT (QCT) screening are underutilized in spine surgery. The MRI-based vertebral bone quality (VBQ) score provides a tool for primary screening of bone density. The validity of this score as a predictor across sexes has not been investigated. This study aimed to explore the effect of sex on the diagnostic efficacy of the VBQ in predicting osteopenia/osteoporosis and whether a sex-specific threshold exists. In this retrospective cohort study, patients who underwent lumbar fusion at a tertiary care center were reviewed. VBQ was obtained by noncontrast T1-weighted MRI. Patients were stratified according to sex and bone density. Data were analyzed between the groups. Pearson correlation analysis and linear regression were used to analyze the correlation between the VBQ and DEXA T values. Receiver operating characteristic (ROC) curve analysis, including area under the curve (AUC) calculation, was used to evaluate the predictive performance of VBQ for low BMD in both sexes. A total of 271 patients (92 male, 179 female patients) were analyzed. The correlation coefficient between VBQ and the lowest T value was -0.40 for male and -0.554 for female patients. In comparing the bone density subgroups, among male patients a significant difference in the VBQ scores was observed only between the normal and osteoporosis subgroups (p = 0.012). VBQ demonstrated statistically significant differences among female patients across all three subgroups (p < 0.001). The ROC analysis revealed that the predictive performance of VBQ in detecting low BMD was more consistent with the gold-standard DEXA results in female than in male patients (AUC 0.647 vs AUC 0.823, p = 0.02). The optimal thresholds were similar in both sexes. Compared with male patients, VBQ has better discrimination between female patients with low BMD and those with normal bone density. Although the correlation between VBQ and bone density is weaker in male than in female patients, the optimal thresholds are similar in both sexes.