Simple Diagnostic Algorithm Research Articles

Recommendations for early identification of heart failure in patients with diabetes: Consensus statement of the Swiss Society of Endocrinology and Diabetology and the Heart Failure Working Group of the Swiss Society of Cardiology.

Diabetes is a well-recognised risk factor for the development of heart failure, with a prevalence higher than 30% in patients with diabetes aged over 60 years. Heart failure often emerges as the primary cardiovascular manifestation in patients with type 2 diabetes and appears to be even more prevalent in type 1 diabetes. In Switzerland, there are approximately 500,000 individuals with diabetes, and the number of affected people has been steadily rising in recent years. Therefore, the consequences of heart failure will affect an increasing number of patients, further straining the Swiss healthcare system. Early lifestyle modification and initiation of appropriate treatment can prevent or at least significantly delay the onset of symptomatic heart failure by several years. These facts underscore the urgent need for early detection of individuals with subclinical heart failure, which often remains undiagnosed until the first episode of acute heart failure requiring hospital admission occurs. To address this issue, the European Society of Cardiology, the American Diabetes Association (ADA) and other international professional societies have published recommendations on heart failure screening, diagnosis and management. To address this issue in Switzerland, experts from the Swiss Society of Endocrinology and Diabetology, the Swiss Society of Cardiology and the General Internal Medicine specialty met and prepared a consensus report including a simple diagnostic algorithm for use in everyday practice.

Validation of a Simplified Diagnostic Algorithm for Deep Vein Thrombosis

Validation of a Simplified Diagnostic Algorithm for Deep Vein Thrombosis

Clinical Management of Primary Aldosteronism: An Update.

Despite carrying an excess risk of cardiovascular events, primary aldosteronism (PA) is a commonly overlooked secondary form of arterial hypertension. An increased awareness of its high prevalence and broader screening strategies are urgently needed to improve its detection rate and allow early diagnosis and targeted treatment. For patients with unilateral PA, these measures can correct hyperaldosteronism and ensure cure of hypertension, even when resistant to drug treatment, thus preventing adverse cardiovascular events. Among these, atrial fibrillation is the most common, but left ventricular hypertrophy, stroke, chronic kidney disease, and myocardial infarction also occur more often than in patients with hypertension and no PA. Young patients, who have higher chances of being cured long term, and high-risk patients, such as those with stage III or resistant hypertension, are those who will benefit most from an early diagnosis of PA. Therefore, the implementation of strategies to detect PA by a simplified diagnostic algorithm is necessary. In the patients who seek for surgical cure, adrenal vein sampling is key for the identification of unilateral PA and the achievement of optimal outcomes. Unfortunately, being technically demanding and poorly available, adrenal vein sampling represents the bottleneck in the workup of PA. Considering the novel knowledge generated in the past 5 years in many studies, particularly in the AVIS-2 study (Adrenal Vein Sampling International Study-2), based on 4 decades of experience at our center and on the last guidelines, we herein provide an update on the management of PA with recommendations for drug treatment and strategies to avoid adrenal vein sampling wherever it is poorly, or not, available.

Anti-HNA testing of allo-exposed COVID-19 convalescent plasma donors including genetic human neutrophil antigen screening to prevent anti-HNA antibody-mediated transfusion-related acute lung injury.

Transfusion-related acute lung injury caused by antibodies against human neutrophil antigens (HNA) is a serious but rare complication associated with blood transfusion. The presence of such antibodies is most probable in donors with a transfusion/pregnancy history. During the COVID-19 pandemic period convalescent plasma (CP) containing neutralizing antibodies against SARS-CoV-2 was widely used for COVID-19 patients as a therapy in the absence of any treatment. The aim of the study was to work out a simple diagnostic algorithm of anti-HNA testing of allo-exposed CP donors including genetic HNA screening. A total of 457 anti-HLA-negative allo-exposed CP donors were genotyped for HNA-1a/1b, HNA-3a/3b, and HNA-2, and only donors with homozygous HNA-1a/1a; HNA-3b/3b; or HNA-2null genotypes were tested for anti-HNA antibody using LabScreenMulti (One Lambda) and homozygous HNA-1b/1b using the granulocyte immunofluorescence test (GIFT) but verified using LabScreenMulti. Testing of 83 homozygous HNA-3b/3b; HNA-2null; or HNA-1a/1a donors revealed anti-HNA-3a antibody in one case. Testing of 181 HNA-1b/1b donors using GIFT gave 10 ambiguous results verified using LabScreenMulti which confirmed anti-HNA-1a antibody in one case. The frequency of FCGR3B*01 and *04 encoding HNA-1a was 0.34; FCGR3B*02, *03, and *05 encoding HNA-1b-0.66; SLC44A2*01 encoding HNA-3a-0.80; and SLC44A2*02 encoding HNA-3b-0.20. In 3.7% cases the HNA-2null genotype was revealed. Due to applying HNA genotyping as a primary test before anti-HNA antibody testing the serological work was limited only to HNA-homozygous donors revealing two anti-HNA immunized donors. The distribution of HNA genotypes in the cohort was similar to other Caucasian populations.

The hidden burden of melioidosis in Nepal: a paradigm for the urgent need to implement a simple laboratory algorithm to detect Burkholderia pseudomallei in low-resource endemic areas

Melioidosis, an emerging infectious disease caused by the Gram-negative bacillus Burkholderia pseudomallei, is massively underdiagnosed in many low- and middle-income countries. The disease is clinically extremely variable, has a high case fatality rate, and is assumed to be highly endemic in South Asian countries, including Nepal. The reasons for underdiagnosis include the lack of awareness among clinicians and laboratory staff and limited microbiological capacities. Because costly laboratory equipment and consumables are likely to remain a significant challenge in many melioidosis-endemic countries in the near future, it will be necessary to make optimum use of available tools and promote their stringent implementation. Therefore, we suggest that health facilities in resource-poor countries, such as Nepal, introduce a simple and low-cost diagnostic laboratory algorithm for the identification of B. pseudomallei cultures. This screening algorithm should be applied specifically to samples from patients with fever of unknown origin and risk factors for melioidosis, such as diabetes. In addition, there could also be a role of low-cost, novel, promising serological point-of-care tests, which are currently under research and development.

Towards a Simplified and Cost-Effective Diagnostic Algorithm for the Surveillance of Intraductal Papillary Mucinous Neoplasms (IPMNs): Can We Save Contrast for Later?

The increased detection of pancreatic cysts in recent years has triggered extensive diagnostic investigations to clarify their potential risk of malignancy, resulting in a large number of patients undergoing numerous imaging follow-up studies for many years. Therefore, there is a growing need for optimization of the current surveillance protocol to reduce both healthcare costs and waiting lists, while still maintaining appropriate sensibility and specificity. Imaging is an essential tool for evaluating patients with intraductal papillary mucinous neoplasms (IPMNs) since it can assess several predictors for malignancy and thus guide further management recommendations. Although contrast-enhanced magnetic resonance imaging (MRI) with magnetic resonance cholangiopancreatography (MRCP) has been widely recommended by most international guidelines, recent results support the use of unenhanced abbreviated-MRI (A-MRI) protocols as a surveillance tool in patients with IPMN. In fact, A-MRI has shown high diagnostic performance in malignant detection, with high sensitivity and specificity as well as excellent interobserver agreement. The aim of this paper is, therefore, to discuss the current available evidence on whether the implementation of an abbreviated-MRI (A-MRI) protocol for cystic pancreatic lesion surveillance could improve healthcare economics and reduce waiting lists in clinical practice without significantly reducing diagnostic accuracy.

Pediatric heart failure with preserved ejection fraction, a review.

Diastolic dysfunction refers to a structural or functional abnormality of the left ventricle, resulting in impaired filling of the heart. Severe diastolic dysfunction can lead to congestive heart failure even when the left ventricle systolic function is normal. Heart failure with preserved ejection fraction (HFpEF) accounts for nearly half of the hospitalizations for acute heart failure in the adult population but the clinical recognition and understanding of HFpEF in children is poor. The condition is certainly much less frequent than in the adult population but the confirmatory diagnosis of diastolic dysfunction in children is also challenging. The underlying causes of HFpEF in children are diverse and differ from the main cause in adults. This review addresses the underlying causes and prognostic factors of HFpEF in children. We describe the pulmonary hypertension profiles associated with this cardiac condition. We discuss diagnosis difficulties in clinical practice, and we provide a simplified diagnostic algorithm for HFpEF in children.

Improvement of Early Outcomes in Type A Acute Aortic Syndrome After an Aorta Code Implementation

BackgroundReduction of variability through process reengineering can improve surgical results for patients with type A acute aortic syndrome. We compare short-term results before and after implementation of an Aorta Code for patients with type A acute aortic syndrome who underwent surgery. MethodsThe Aorta Code was implemented in a 5-hospital healthcare network in 2019. This critical pathway was based on a simple diagnostic algorithm, ongoing training, immediate patient transfer, and treatment by an expert multidisciplinary team. We retrospectively compared all patients operated on in our center before (2005-2018) and after (January 2019 to February 2023) its implementation. ResultsOne hundred two and 70 patients underwent surgery in the precode and code periods, respectively. In the code period the number of patients operated on per year increased (from 7.3 to 16.8), and the median elapsed time until diagnosis (6.5 hours vs 4.2 hours), transfer (4 hours vs 2.2 hours), and operating room (2.7 hours vs 1.8 hours) were significantly shorter (P < .05). Aortic root repair and total arch replacement were more frequent (66.7% vs 82.9% [P = .003] and 20.6% vs 40% [P = .001]). Cardiopulmonary bypass and ischemia times were also shorter (179.7 minutes vs 148.2 minutes [P = .001] and 105 minutes vs 91.2 minutes [P = .022]). Incidence of prolonged mechanical ventilation (53.9% vs 34.3%, P = .011), major stroke (17.7% vs 7.1%, P = .047), and 30-day mortality (27.5% vs 7.1%, P = .001) decreased significantly. ConclusionsAn Aorta Code can be successfully implemented by using a standardized protocol within a hospital network. The number of cases increased; time to diagnosis, transfer, and operating room were reduced; and 30- day mortality significantly decreased.

Assessment of Condition Diagnosis System for Axles with Ferrous Particle Sensor

This study presents a condition diagnosis system based on a ferrous particle sensor to estimate the durability of axles in construction equipment. Axles are mechanical devices that play the role of the differential gear in construction equipment that move with wheels and require high reliability. In the durability testing of new axles, failure identification and real-time diagnosis are required. One of the typical failure modes of an axle is increased ferrous-wear particles due to metal-to-metal contact. Therefore, a condition diagnostic program based on the ferrous particle sensor is developed and applied in the bench tests of axles. This program provides information on the amount of wear with respect to ferrous particles using a simple diagnostic algorithm. Additionally, it allows separation and storage of measured data that exceed the reference values; the system provides warnings using color, sound, and pop-up windows to facilitate diagnosis. In the two tests, the first case detected a failure, but in the other case, the sensor did not detect it even though a failure occurred. From the results of bench tests, it is confirmed that the sensor location is a critical factor. Therefore, a multi-physics-based analysis method is suggested for positioning the ferrous particle sensor.

Frequency Decomposition of Actuated Breast Tissue to Provide Diagnostic Insight

Digital Image Elasto Tomography (DIET) is an automated, non-invasive breast cancer screening technology with improving diagnostic potential. DIET screening involves a women lying prone with low-amplitude steady state sinusoidal vibrations applied to the free hanging breast, while surrounding cameras capture the breast surface motion. This paper presents a computationally simple diagnostic algorithm using frequency analysis of this breast surface motion data from a clinical trial using the DIET system involving N=14 women (28 breasts, 13 cancerous). Each breast was segmented into four radial and four vertical segments (16 total) and frequency decomposition of each reference point in each segment was averaged. Frequency content was hypothesised to be similar in healthy breasts among segments in the same vertical band, while stiffier cancerous tissue was hypothesised to effect frequency response, resulting in distinguishable differences and diagnostic insight. An optimal percentage tolerance, used to assess the degree of similarity between the segments, yielded 85% sensitivity and 77% specificity, showing comparable or better diagnostic accuracy than mammography. In addition, receiver operator characteristic (ROC) curve area (AUC) was 0.81, considered excellent. Diagnostic results are promising, added with the benefits of DIET screening, including portability, non-invasive screening, and no breast compression, with potential to increase screening participation and equity, improving outcomes for women.

World health organization classification of bone tumors (fifth edition): What a radiologist needs to know?

Since 1967, the World Health Organization (WHO) classification of tumors is regarded as a reference standard and practical guide and provides a precious resource not only for the histopathologists and oncosurgeons but also for the radiologists involved in cancer care. Primary bone tumors are a rare and heterogeneous group of neoplasms that have a broad spectrum of morphological, biological, genetic, and radiological features. Appropriate imaging workup and accurate histopathological diagnosis are crucial for appropriate management and prognostication. The fourth edition of the WHO classification of tumors of soft tissue and bone was introduced in 2013. In the past 7 years, there have been considerable advances in the understanding of this large and diverse group of tumors. With technological advances and the introduction of new molecular and genetic data about some bone tumors, there has been reorganization in the classification and introduction of a few new entities. The new WHO classification of soft tissue and bone tumors introduced in 2020 (fifth edition) has made essential refinements in the classification and has also introduced many new entities. Newly identified genetic alterations and corresponding immunohistochemical markers are included in the new classification, and this has helped in the reclassification of the existing tumor entities. These novel genetic alterations not only help in prognostication but are a target for potential therapeutic options which can bring a paradigm shift in the chemotherapeutic regimen for these entities in the future. The sole basis for the classification of bone tumors is histopathological. Although radiologists are not expected to know about the exquisite pathological details of bone tumors, a broad knowledge of the recent updates, including the reclassification of a few entities or the introduction of some, is vital for narrowing the differentials in imaging. A multidisciplinary approach including an orthopedic oncologist, radiologist, pathologist, surgical, and medical oncologist is required for accurate diagnosis and management of primary bone tumors. We hereby present a simplified review for the radiologists comprising the relevant details of the updates in bone tumors along with a simplified diagnostic algorithm to characterize these lesions.

Review of 175 Cases of Tuberculosis Infections Affecting the Urogenital System.

Urogenital tuberculosis and disseminated tuberculosis affecting urogenital system are more fre quent in developing countries but are often overlooked in developed ones. We aimed to compare clinical characteristics and outcomes of urogenital tuberculosis and disseminated tuberculosis affecting the urogeni tal system. We retrospectively reviewed data from patients with tuberculosis in the urogenital system, diagnosed in a tertiary center in a European country, from 2008 to 2018. Cases were divided into urogenital tuberculosis and disseminated tuberculosis affecting the urogenital system and compared. We included 172 patients, 31 with urogenital tuberculosis and 141 with disseminated tuberculosis affecting urogenital system. Patients with disseminated tuberculosis affecting the urogenital system were younger (median 45 vs. 64 years, P=.001), more likely to be male (80 vs. 55%, P=.005), or having risk fac tors for the disease (84 vs. 23%, P=.005) than patients with urogenital tuberculosis. Patients with urogenital tuberculosis presented most commonly with symptoms related to the urinary tract, with 52% complaining of lower urinary tract symptoms attributed to urinary tract infections and 48% of dysuria, while patients with disseminated tuberculosis affecting the urogenital system presented mainly with systemic symptoms, with 89% complaining of malaise, 62% of fever, and 57% of anorexia. Patients with urogenital tuberculosis were more likely to need urological surgery as part of their treatment (71 vs. 5%, P < .001) and patients with dis seminated tuberculosis affecting the urogenital system were more likely to die due to tuberculosis (10 vs. 21%, P < .001). Tuberculosis of the urogenital system can have multiple clinical presentations, and a simple diagnostic algorithm does not exist. In the presence of urogenital tuberculosis in injected drug users, immu nosuppressed individuals, or patients with systemic symptoms, we should think of disseminated tuberculosis affecting the urogenital system and remember these patients less frequently need surgery but entail a worst outcome.

Glasgow-Blatchford score combined with nasogastric aspirate as a new diagnostic algorithm for patients with nonvariceal upper gastrointestinal bleeding.

The Glasgow-Blatchford score (GBS) is a widely used risk assessment tool for patients with upper gastrointestinal bleeding. However, it only identifies a relatively low proportion of patients at low risk for adverse events and poor outcomes. We developed a simple diagnostic algorithm combining the GBS and nasogastric aspirate and evaluated its diagnostic performance. A total of 115 consecutive patients with suspected nonvariceal upper gastrointestinal bleeding who underwent nasogastric tube placement and upper endoscopy at our emergency department were prospectively evaluated. We compared the diagnostic accuracy of the GBS and our algorithm for predicting high-risk endoscopic lesions (HRELs) using receiver operating characteristic curve analysis. Thirty-five patients had HRELs. Compared with the GBS, our algorithm showed superior performance with respect to the prediction of HRELs (area under the curve, 0.639 and 0.854, respectively; p<0.001). With set optimal threshold values, the algorithm identified a significantly higher proportion of patients who did not have HRELs than the GBS (23.5%vs. 2.6%, p<0.001). The novel algorithm has improved the diagnostic performance of the GBS and predicted more patients who did not have HRELs than the GBS alone. After further validation, it may be a useful tool for making clinical management decisions for patients with nonvariceal upper gastrointestinal bleeding.

Breast cancer diagnosis using frequency decomposition of surface motion of actuated breast tissue.

This paper presents a computationally simple diagnostic algorithm for breast cancer using a non-invasive Digital Image Elasto Tomography (DIET) system. N=14 women (28 breasts, 13 cancerous) underwent a clinical trial using the DIET system following mammography diagnosis. The screening involves steady state sinusoidal vibrations applied to the free hanging breast with cameras used to capture tissue motion. Image reconstruction methods provide surface displacement data for approximately 14,000 reference points on the breast surface. The breast surface was segmented into four radial and four vertical segments. Frequency decomposition of reference point motion in each segment were compared. Segments on the same vertical band were hypothesised to have similar frequency content in healthy breasts, with significant differences indicating a tumor, based on the stiffness dependence of frequency and tumors being 4~10 times stiffer than healthy tissue. Twelve breast configurations were used to test robustness of the method. Optimal breast configuration for the 26 breasts analysed (13 cancerous, 13 healthy) resulted in 85% sensitivity and 77% specificity. Combining two opposite configurations resulted in correct diagnosis of all cancerous breasts with 100% sensitivity and 69% specificity. Bootstrapping was used to fit a smooth receiver operator characteristic (ROC) curve to compare breast configuration performance with optimal area under the curve (AUC) of 0.85. Diagnostic results show diagnostic accuracy is comparable or better than mammography, with the added benefits of DIET screening, including portability, non-invasive screening, and no breast compression, with potential to increase screening participation and equity, improving outcomes for women.

Risk stratification for systemic lupus erythematosus associated pulmonary hypertension by simplified ESC/ERS guidelines: data from SOPHIE registry

Abstract Background The ESC/ERS guideline has established a diagnostic algorithm for pulmonary hypertension (PH) based on the peak velocity of tricuspid regurgitation, clinical history of left heart disease, chest radiography, and other chest radiological techniques. Unfortunately, due to the medical resource limitations, not all patients can receive the comprehensive inspections listed above. Purpose The purpose of the study was to sort out the practical predicting factors and evaluate the efficacy of the simplified diagnostic algorithm derived from the 2015 ESC/ERS clinical guidelines. Methods According to the ESC/ERS guideline, patients in the intermediate or high echocardiographic probability of PH group and further satisfied the following risk stratification criteria (anti-RNP (+), Raynaud phenomenon (+), 6MWD &amp;lt;440 meters, and SVR &amp;gt;1500 wood) were considered to have the intermediate (IR), and high risk (HR) of PH. Patients with a low echocardiographic probability of PH and those with intermediate or high probability of PH without satisfied the risk stratification algorithm were categorized into the low risk (LR) of the PH group. Results 1005 patients were categorized into the LR group, 30 patients in the IR group, and 19 in the HR group. Precisely, patients in the LR group were relatively younger (49.9±0.4) than that of the IR group (57.8±2.3, p=0.001) and the HR group (56.0±3.0, p=0.035). Raynaud phenomenon was occurred more frequently in the IR group (50.0%) or HR group (47.4%) compared to that of the LR group (24.1%). The occurrence of anti-RNP positive was higher in the HR group, taken up for 57.9% compared to 31.5% in the LR group (p=0.013). The incidence of right axis deviation (RAD) was increasing in the IR group (17.2%) and HR group (16.7%) compared to the LR group (3.6%). In addition, patients in IR and HR group have reduced lung volume parameters, including forced vital capacity (FVC%), forced expiratory volume at the first second (FEV1%), FEV1/FVC ratio, and forced expiratory flow at 50% of forced vital capacity (FEF50%) when compared to the LR group. Multivariate analysis was performed in four different modes to sort out the independent predictors of PH. Anti-RNP (OR=10.5, CI: 1.9, 56.5) and RAD (OR=21.9, CI: 5.2, 92.2) in mode 1, RVH (OR=10.4, CI: 1.9, 56.3) in mode 2, RAD (OR=10.3, CI: 2.0, 50.7) and FEF50% (OR=1.0, CI: 0.90, 0.97) in mode 3, and RVH (OR=56.8, CI: 6.9, 467.5) and FEF50% (OR=1.0, CI: 0.90, 0.97) in mode 4 were identified as the independent predictors of PH for SLE patients. Conclusions This registry has provided main clinical characteristics and phenotypes of Hong Kong Chinese patients with SLE and has demonstrated that Anti-RNP, RAD, RVH, or FEF50% was independent predictors of pulmonary hypertension in patients with SLE. Funding Acknowledgement Type of funding sources: None.

Papillary lesions of the breast - review and practical issues.

Papillary lesions of the breast represent a heterogeneous group of neoplasm featuring fibrovascular cores covered by epithelial cells with or without intervening myoepithelial cells. According to the World Health Organization classification of breast tumors, papillary lesions of the breast are further classified into intraductal papilloma (including intraductal papilloma with atypical ductal hyperplasia /ductal carcinoma in situ), papillary ductal carcinoma in situ, encapsulated papillary carcinoma, solid papillary carcinoma (in situ and invasive) and invasive papillary carcinoma. The overlapping morphological features and immunohistochemical profiles make accurate diagnosis of breast papillary lesion a challenge for pathologists. In this review, the morphological and relevant immunohistochemical features of papillary lesions are discussed, with further emphasis on some commonly encountered practical diagnostic issues. A simple diagnostic algorithm will be established. The relevant molecular characteristics will be discussed as well.

Simple diagnostic algorithm identifying at-risk nonalcoholic fatty liver disease patients needing specialty referral within the United States.

BACKGROUNDThere is an urgent need to risk stratify patients with suspected nonalcoholic fatty liver disease (NAFLD) and identify those with fibrotic nonalcoholic steatohepatitis. This study aims to apply a simple diagnostic algorithm to identify subjects with at-risk NAFLD in the general population.AIMTo apply a simple diagnostic algorithm to identify subjects with at-risk NAFLD in the general population.METHODSAdult subjects were included from the National Health and Nutrition Examination Survey database (2017-2018) if they had elevated alanine aminotransferase (ALT) and excluded if they had evidence of viral hepatitis or significant alcohol consumption. A fibrosis-4 (FIB4) cutoff of 1.3 differentiated patients with low risk vs high risk disease. If patients had FIB4 > 1.3, a FAST score < 0.35 ruled out advanced fibrosis. Patients with FAST > 0.35 were referred to a specialist. The same algorithm was applied to subjects with type 2 diabetes mellitus (T2DM).RESULTSThree thousand six hundred and sixty-nine patients were identified who met all inclusion and exclusion criteria. From this cohort, 911 (28.6%) patients had elevated ALT of which 236 (22.9%) patients had elevated FIB4 scores ≥ 1.3. Among patients with elevated FIB4 score, 75 (24.4%) had elevated FAST scores, ruling in advanced fibrosis. This accounts for 2.0% of the overall study population. Applying this algorithm to 737 patients with T2DM, 213 (35.4%) patients had elevated ALT, 85 (37.9%) had elevated FIB4, and 42 (46.1%) had elevated FAST scores. This accounts for 5.7% of the population with T2DM.CONCLUSIONThe application of this algorithm to identify at-risk NAFLD patients in need for specialty care is feasible and demonstrates that the vast majority of patients do not need subspecialty referral for NAFLD.

Rainwater Charitable Foundation criteria for the neuropathologic diagnosis of progressive supranuclear palsy

Neuropathologic criteria for progressive supranuclear palsy (PSP) proposed by a National Institute of Neurological Disorders and Stroke (NINDS) working group were published in 1994 and based on the presence of neurofibrillary tangles in basal ganglia and brainstem. These criteria did not stipulate detection methods or incorporate glial tau pathology. In this study, a group of 14 expert neuropathologists scored digital slides from 10 brain regions stained with hematoxylin and eosin (H&E) and phosphorylated tau (AT8) immunohistochemistry. The cases included 15 typical and atypical PSP cases and 10 other tauopathies. Blinded to clinical and neuropathological information, raters provided a categorical diagnosis (PSP or not-PSP) based upon provisional criteria that required neurofibrillary tangles or pretangles in two of three regions (substantia nigra, subthalamic nucleus, globus pallidus) and tufted astrocytes in one of two regions (peri-Rolandic cortices, putamen). The criteria showed high sensitivity (0.97) and specificity (0.91), as well as almost perfect inter-rater reliability for diagnosing PSP and differentiating it from other tauopathies (Fleiss kappa 0.826). Most cases (17/25) had 100% agreement across all 14 raters. The Rainwater Charitable Foundation criteria for the neuropathologic diagnosis of PSP feature a simplified diagnostic algorithm based on phosphorylated tau immunohistochemistry and incorporate tufted astrocytes as an essential diagnostic feature.

Automatic captioning of early gastric cancer using magnification endoscopy with narrow-band imaging

The detection rate for early gastric cancer (EGC) is unsatisfactory, and mastering the diagnostic skills of magnifying endoscopy with narrow-band imaging (ME-NBI) requires rich expertise and experience. We aimed to develop an EGC captioning model (EGCCap) to automatically describe the visual characteristics of ME-NBI images for endoscopists. ME-NBI images (n= 1886) from 294 cases were enrolled from multiple centers, and corresponding 5658 text data were designed following the simple EGC diagnostic algorithm. An EGCCap was developed using the multiscale meshed-memory transformer. We conducted comprehensive evaluations for EGCCap including the quantitative and quality of performance, generalization, robustness, interpretability, and assistant value analyses. The commonly used metrics were BLEUs, CIDEr, METEOR, ROUGE, SPICE, accuracy, sensitivity, and specificity. Two-sided statistical tests were conducted, and statistical significance was determined when P< .05. EGCCap acquired satisfying captioning performance by outputting correctly and coherently clinically meaningful sentences in the internal test cohort (BLEU1= 52.434, CIDEr= 36.734, METEOR= 27.823, ROUGE= 49.949, SPICE= 35.548) and maintained over 80% performance when applied to other centers or corrupted data. The diagnostic ability of endoscopists improved with the assistance of EGCCap, which was especially significant (P< .05) for junior endoscopists. Endoscopists gave EGCCap an average remarkable score of 7.182, showing acceptance of EGCCap. EGCCap exhibited promising captioning performance and was proven with satisfying generalization, robustness, and interpretability. Our study showed potential value in aiding and improving the diagnosis of EGC and facilitating the development of automated reporting in the future.

A New Scoring System to Differentially Diagnose and Distinguish Tuberculous Meningitis and Bacterial Meningitis in South China.

BackgroundTuberculous meningitis (TBM) is the most serious form of extrapulmonary tuberculosis caused by Mycobacterium tuberculosis, and is characterized by high morbidity and mortality. Unfortunately, it is difficult to distinguish TBM from bacterial meningitis (BM) based on clinical features alone. The latest diagnostic tests and neuroimaging methods are still not available in many developing countries. This study aimed to develop a simple diagnostic algorithm based on clinical and laboratory test results as an early predictor of TBM in South China.MethodsA retrospective study was conducted to compare the clinical and laboratory characteristics of 114 patients with TBM and 47 with BM. Multivariate logistic regression analysis was performed on the characteristics of independently predicted TBM to develop a new diagnostic rule.ResultsFive characteristics were predictive of a diagnosis of TBM: duration of symptoms before admission; tuberculous symptoms; white blood cell (WBC) count, total cerebrospinal fluid WBC count, and cerebrospinal fluid chloride concentration. The sensitivity and specificity of the new scoring system developed in this study were 81.6 and 93.6%, respectively.ConclusionThe new scoring system proposed in this study can help physicians empirically diagnose TBM and can be used in countries and regions with limited microbial and radiological resources.