Diagnostic Accuracy Rate Research Articles

Clinical application of oral contrast-enhanced ultrasound in evaluating the preoperative T staging of gastric cancer.

Oral contrast-enhanced ultrasound (OCEUS) is widely used in the noninvasive diagnosis and screening of gastric cancer (GC) in China. To investigate the clinical application of OCEUS in evaluating the preoperative T staging of gastric cancer. OCEUS was performed before the operation, and standard ultrasound images were retained. The depth of infiltration of GC (T-stage) was evaluated according to the American Joint Committee on Cancer 8th edition of the tumor-node-metastasis staging criteria. Finally, with postoperative pathological staging as the gold standard reference, the sensitivity, specificity, negative predictive value, positive predictive value, and diagnostic value of OCEUS T staging were evaluated. OCEUS achieved diagnostic accuracy rates of 76.6% (T1a), 69.6% (T1b), 62.7% (T2), 60.8% (T3), 88.0% (T4a), and 88.7% (T4b), with an average of 75.5%. Ultrasonic T staging sensitivity exceeded 62%, aside from T1b at 40.3%, while specificity was over 91%, except for T3 with 83.5%. The Youden index was above 60%, with T1b and T2 being exceptions. OCEUS T staging corresponded closely with pathology in T4b (kappa > 0.75) and moderately in T1a, T1b, T2, T3, and T4a (kappa 0.40-0.75), registering a concordance rate exceeding 84%. OCEUS was effective, reliable, and accurate in diagnosing the preoperative T staging of GC. As a noninvasive diagnostic technique, OCEUS merits clinical popularization.

Feasibility, efficacy, and safety of core needle biopsy as a first-line method for cervical lymphadenopathy.

This study aimed to determine the feasibility, diagnostic efficacy, and safety of ultrasound-guided core needle biopsy (CNB) as a first-line biopsy method for cervical lymphadenopathy of non-thyroid origin. This retrospective cohort study included consecutive patients with cervical lymphadenopathy in whom US-guided CNB was used as the first-line biopsy method for cervical lymph nodes (LNs) of presumed non-thyroid origin. The coaxial CNB technique was routinely used, while the tilting and hydrodissection CNB techniques were selectively employed for small high-risk LNs. The primary endpoint of this study was the diagnostic efficacy of CNB, evaluated by the rate of inconclusive results (nondiagnostic and indeterminate) and diagnostic accuracy (criterion 1: malignant results; criterion 2: malignant or indeterminate result). The secondary outcomes included the feasibility and safety of CNB, assessed based on the technical success rate and complication rate, respectively. The rates of nondiagnostic, indeterminate, and inconclusive results were 0.7%, 3.4%, and 4.1%, respectively. The sensitivity, specificity, and accuracy of CNB for malignant LNs were 96.2%, 100%, and 97.8%, respectively, with criterion 1, and these values were all 99.8% with criterion 2. The technical success rate of CNB was 99.3%. There were no major complications and 7 cases (0.6%) of minor complications (asymptomatic hematomas). CNB was technically feasible, effective, and safe as a first-line biopsy method for cervical lymphadenopathy of non-thyroid origin with high diagnostic accuracy for malignant nodal disease. Question The role of US-guided CNB as a first-line biopsy method for cervical LNs has not yet been verified and established. Findings US-guided CNB, as a first-line method, demonstrated a high technical success rate and diagnostic accuracy for malignant nodes, with few minor complications. Clinical relevance US-guided CNB can be used as an effective first-line biopsy method for cervical lymphadenopathy and will enable accurate diagnosis of malignant LNs.

Exploring the left behind: unheard complication of endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA)

Endobronchial ultrasound (EBUS) guided transbronchial needle aspiration (TBNA) is a widely used procedure in interventional pulmonology, known for its diagnostic accuracy and low complication rates. We report a rare complication of EBUS-TBNA involving the damage of the TBNA needle during sampling of a mediastinal lymph node, resulting in an impacted needle spring in the airway. Despite its rarity, awareness of such potential issues is crucial for all practitioners performing EBUS-TBNA to ensure patient safety and optimal outcomes.

Long-term outcome of invasive pure micropapillary breast cancer compared with invasive mixed micropapillary and invasive ductal breast cancer: a matched retrospective study.

Data on the prognostic impact of the micropapillary component in breast cancer are limited. The purpose of this study was to investigate the clinicopathological characteristics and long-term outcomes of pure and mixed invasive micropapillary breast cancer (IMPC) patients compared to invasive ductal cancer (IDC) patients. This retrospective study analysed all IMPC and IDC patients treated at the European Institute of Oncology (IEO) between 1997 and 2019. The overall cohort of IMPC patients was divided in two groups, pure and mixed IMPC. Each patient with mixed or pure IMPC was matched with one patient with IDC, based on year of surgery, age, pT, pN, and molecular subtype. A total of 30,115 IDC, 120 pure IMPC and 150 mixed IMPC patients were considered eligible. Compared to IDC, pure and mixed IMPC patients presented a higher rate of locally advanced disease (pT2-T3, pN2-N3), vascular invasion, and Luminal B subtype. After matching, pure and mixed IMPC showed a significant higher rate of vascular invasion compared to IDC patients (p < 0.001). Invasive disease-free survival was better in IDC compared to pure IMPC patients (p = 0.11). Long-term overall survival was significantly worse in pure IMPC group compared to IDC group (p = 0.004), being instead similar between mixed IMPC vs matched IDC (p = 0.07). These real-world data reported the worse prognosis of pure IMPC compared to IDC, highlighting the peculiar prognostic value of the micropapillary subtype itself in the decision-making process of IMPC management. An accurate pre-surgical diagnostic evaluation and a multidisciplinary approach are pivotal to best personalize its treatment.

Intestinal Perforation Secondary to Multiple Jejunal Diverticula: Case Report

Small bowel diverticulosis is a rare condition, with an incidence ranging between 0.3% and 1.3% in the general population. Although it is typically asymptomatic, it can lead to severe complications such as perforation, diverticulitis, bleeding, and intestinal obstruction. These cases require rapid and accurate diagnostic evaluation, with computed tomography and ultrasound being essential due to the lack of established diagnostic protocols. We present the case of a 61-year-old woman with a history of colonic diverticulosis, who developed abdominal pain, fever, melena, and septic shock. Imaging revealed an intestinal perforation, confirmed by exploratory laparotomy, which identified jejunal diverticulosis with perforation. A resection of 90 cm of the small intestine was performed with a primary anastomosis. The patient recovered well in the intensive care unit. This case highlights the importance of early diagnosis and surgical intervention in small bowel diverticulosis complications, a condition that, though uncommon, can be potentially serious.

Assessment of teledentistry in improving access to dental care: a systematic review.

Teledentistry has emerged as a promising approach to improving access to dental care, particularly for underserved populations. This systematic review aims to evaluate the effectiveness of teledentistry interventions in enhancing access to dental care. A comprehensive search across multiple databases was conducted to identify studies evaluating teledentistry interventions. Studies were included if they investigated the impact of teledentistry on dental care accessibility, utilization, or patient outcomes. Eligibility criteria were applied systematically to select relevant studies for inclusion. Forty-six studies met the inclusion criteria and were included in the review. The synthesized evidence showed the effectiveness of teledentistry interventions in improving access to oral healthcare services, facilitating timely diagnosis and treatment planning, and enhancing patient outcomes. Despite variations in study designs and methodologies, teledentistry interventions consistently exhibited high diagnostic accuracy and concordance rates compared to traditional face-to-face consultations. The findings highlight teledentistry's transformative potential in modernizing oral healthcare delivery and reducing access disparities.

Integrating Multi-Cancer Early Detection (MCED) Tests with Standard Cancer Screening: System Dynamics Model Development and Feasibility Testing.

Cancer screening plays a critical role in early disease detection and improving outcomes. In Australia, established screening protocols for colorectal, breast and cervical cancer have significantly contributed to timely cancer detection. However, the recent introduction of multi-cancer early detection (MCED) tests arguably can disrupt current screening, yet the extent to which these tests provide additional benefits remains uncertain. We present the development and initial validation of a system dynamics (SD) model that estimates the additional cancer detections and costs associated with MCED tests. This article describes the development of a simulation model built to evaluate the additional patient diagnoses and the economic impact of incorporating MCED testing alongside Australia's well-established standard of care (SOC) screening programs for colorectal, breast, cervical and lung cancers. The model was designed to estimate the additional number of patients diagnosed at each cancer stage (stage I, II, III, IV, or unknown) and the associated costs. This simulation model allows for the analysis of multiple scenarios under a plausible set of assumptions regarding population-level participation rates. An SD model was developed to represent the existing SOC national cancer screening pathways and to integrate potential clinical pathways that could be introduced by MCED tests. The SD model was built to investigate three scenarios for the use of MCED testing: firstly, to explore the viability of MCED testing as a substitute among individuals who are not opting for SOC screening for any reason; secondly, to implement MCED testing exclusively for individuals ineligible for SOC screening, yet have high-risk characteristics; and thirdly, to employ MCED testing after SOC screening to serve as a triaging/confirmatory tool for individuals receiving inconclusive test results. The three primary scenarios were constructed by varying diagnostic accuracy and uptake rates of MCED tests. The clinical utility and outcomes of MCED testing for screening and early detection still lack comprehensive evidence. Nonetheless, this simulation model facilitates a thorough analysis of MCED tests within the Australian healthcare context, providing insights into potential additional detections and costs to the healthcare system, which may help prioritise future evidence development. The adaptable yet novel SD model presented herein is anticipated to be of considerable interest to industry, policymakers, consumers and clinicians involved in informing clinical and economic decisions regarding integrating MCED tests as cancer screening and early detection tools. The expected results of applying this SD model will determine whether using MCED testing in conjunction with SOC screening offers any potential benefits, possibly guiding policy decisions and clinical practices towards the adoption of MCED tests.

Revolution or risk?-Assessing the potential and challenges of GPT-4V in radiologic image interpretation.

ChatGPT-4 Vision (GPT-4V) is a state-of-the-art multimodal large language model (LLM) that may be queried using images. We aimed to evaluate the tool's diagnostic performance when autonomously assessing clinical imaging studies. A total of 206 imaging studies (i.e., radiography (n = 60), CT (n = 60), MRI (n = 60), and angiography (n = 26)) with unequivocal findings and established reference diagnoses from the radiologic practice of a large university hospital were accessed. Readings were performed uncontextualized, with only the image provided, and contextualized, with additional clinical and demographic information. Responses were assessed along multiple diagnostic dimensions and analyzed using appropriate statistical tests. With its pronounced propensity to favor context over image information, the tool's diagnostic accuracy improved from 8.3% (uncontextualized) to 29.1% (contextualized, first diagnosis correct) and 63.6% (contextualized, correct diagnosis among differential diagnoses) (p ≤ 0.001, Cochran's Q test). Diagnostic accuracy declined by up to 30% when 20 images were re-read after 30 and 90 days and seemed unrelated to the tool's self-reported confidence (Spearman's ρ = 0.117 (p = 0.776)). While the described imaging findings matched the suggested diagnoses in 92.7%, indicating valid diagnostic reasoning, the tool fabricated 258 imaging findings in 412 responses and misidentified imaging modalities or anatomic regions in 65 images. GPT-4V, in its current form, cannot reliably interpret radiologic images. Its tendency to disregard the image, fabricate findings, and misidentify details, especially without clinical context, may misguide healthcare providers and put patients at risk. Question Can Generative Pre-trained Transformer 4 Vision (GPT-4V) interpret radiologic images-with and without clinical context? Findings GPT-4V performed poorly, demonstrating diagnostic accuracy rates of 8% (uncontextualized), 29% (contextualized, most likely diagnosis correct), and 64% (contextualized, correct diagnosis among differential diagnoses). Clinical relevance The utility of commercial multimodal large language models, such as GPT-4V, in radiologic practice is limited. Without clinical context, diagnostic errors and fabricated findings may compromise patient safety and misguide clinical decision-making. These models must be further refined to be beneficial.

Reclassification of Urinary Cytology according to the Paris System for Reporting Urinary Cytology Correlation with Histological Diagnosis

Introduction: The Paris System for Reporting Urinary Cytology (TPS) was designed to provide precise diagnostic criteria when evaluating urine cytology and standardize the terminology used in reporting. In our study, we have aimed to determine the effect of TPS on the diagnostic performance of urine cytology, its impact on establishing appropriate risk stratification, and its effectiveness in the diagnosis and follow-up of the patients. Methods: We reevaluated 200 liquid-based urine cytologies with available histological diagnoses reported between 2015 and 2021 according to TPS criteria and compared them with the original cytological diagnoses. Area under the curve, sensitivity, specificity, and diagnostic accuracy of both methods were calculated and statistically analyzed to determine the diagnostic performance of the original reporting and TPS. Results: The sensitivity, specificity, positive predictive, negative predictive, and diagnostic accuracy rates of TPS were 60%, 99.3%, 97.2%, 97.2%, 85.7%, and 87.2%, respectively. In TPS, the risk of malignancy for negative for high-grade urothelial carcinoma, atypical urothelial cells, suspicious for high-grade urothelial carcinoma, and high-grade urothelial carcinoma (HGUC) is 3.5%, 20.9%, 60.8%, 97.2%, respectively. In the original reporting, the corresponding risks were 13.4%, 15%, 52%, 100%, respectively. A statistically significant difference was observed between diagnostic criteria of original cytology and TPS (p = 0.001). When the original reporting was compared with the TPS, the discriminative power of TPS in the diagnosis of HGUC was significantly higher (p < 0.001). Conclusions: The use of TPS provided a more accurate risk stratification of patients. The diagnostic performance of urine cytology was improved, especially for HGUC.

Physician-to-Physician eConsultations to Ophthalmologists at an Academic Medical Center.

Physician-to-physician electronic consultation (eConsults) are used across specialties; however, their effectiveness in ophthalmology has not been reported. This study evaluated the feasibility and diagnostic accuracy of a physician-to-physician ophthalmology eConsult program, assessed the timeliness of in-person evaluation, and characterized the clinical questions of non-ophthalmology providers. Retrospective review of patients for whom an ophthalmology eConsult was placed to Massachusetts Eye and Ear from February 2019-August 2021. The eConsults were reviewed to identify submission-to-response time, primary diagnoses by eConsultant, and referral outcomes. The eConsults were categorized based on clinical question, urgency, and ophthalmic condition addressed. Demographic data on patients and referring providers were collected. One hundred ophthalmology eConsults were placed, and 100% were responded to by an ophthalmologist. An average of 1.6 ± 1.9 days elapsed from the time of eConsult to completion. Of the 30 patients who presented for in-person evaluation at an ophthalmology clinic, diagnostic concordance between eConsultant and in-person ophthalmologist was observed in 93% of cases (n = 28 of 30). An average of 28.9 ± 27.4 days from eConsult response to in-person follow-up was observed. The most common clinical inquiries were about appropriate triage/referral (24.4%), management (22%), and diagnosis (19.7%). All eConsults were non-urgent. The most common ophthalmic condition addressed was chalazia/hordeola (14%). Only 5% of patients presented to an emergency department for the same ophthalmic concern addressed by eConsult. Ophthalmology eConsults provide timely access to nonurgent ocular diagnosis, triage, and management and in our study seem to provide high rates of diagnostic accuracy for nonurgent ophthalmic conditions. Using ophthalmic eConsults can facilitate timely access to specialty care and reduce patient and provider burden.

Evaluating culture-free targeted next-generation sequencing for diagnosing drug-resistant tuberculosis: a multicentre clinical study of two end-to-end commercial workflows.

Drug-resistant tuberculosis remains a major obstacle in ending the global tuberculosis epidemic. Deployment of molecular tools for comprehensive drug resistance profiling is imperative for successful detection and characterisation of tuberculosis drug resistance. We aimed to assess the diagnostic accuracy of a new class of molecular diagnostics for drug-resistant tuberculosis. We conducted a prospective, cross-sectional, multicentre clinical evaluation of the performance of two targeted next-generation sequencing (tNGS) assays for drug-resistant tuberculosis at reference laboratories in three countries (Georgia, India, and South Africa) to assess diagnostic accuracy and index test failure rates. Eligible participants were aged 18 years or older, with molecularly confirmed pulmonary tuberculosis, and at risk for rifampicin-resistant tuberculosis. Sensitivity and specificity for both tNGS index tests (GenoScreen Deeplex Myc-TB and Oxford Nanopore Technologies [ONT] Tuberculosis Drug Resistance Test) were calculated for rifampicin, isoniazid, fluoroquinolones (moxifloxacin, levofloxacin), second line-injectables (amikacin, kanamycin, capreomycin), pyrazinamide, bedaquiline, linezolid, clofazimine, ethambutol, and streptomycin against a composite reference standard of phenotypic drug susceptibility testing and whole-genome sequencing. Between April 1, 2021, and June 30, 2022, 832 individuals were invited to participate in the study, of whom 720 were included in the final analysis (212, 376, and 132 participants in Georgia, India, and South Africa, respectively). Of 720 clinical sediment samples evaluated, 658 (91%) and 684 (95%) produced complete or partial results on the GenoScreen and ONT tNGS workflows, respectively, with 593 (96%) and 603 (98%) of 616 smear-positive samples producing tNGS sequence data. Both workflows had sensitivities and specificities of more than 95% for rifampicin and isoniazid, and high accuracy for fluoroquinolones (sensitivity approximately ≥94%) and second line-injectables (sensitivity 80%) compared with the composite reference standard. Importantly, these assays also detected mutations associated with resistance to critical new and repurposed drugs (bedaquiline, linezolid) not currently detectable by any other WHO-recommended rapid diagnostics on the market. We note that the current format of assays have low sensitivity (≤50%) for linezolid and more work on mutations associated with drug resistance is needed. This multicentre evaluation demonstrates that culture-free tNGS can provide accurate sequencing results for detection and characterisation of drug resistance from Mycobacterium tuberculosis clinical sediment samples for timely, comprehensive profiling of drug-resistant tuberculosis. Unitaid.

The Diagnostic Ability of GPT-3.5 and GPT-4.0 in Surgery: Comparative Analysis.

ChatGPT (OpenAI) has shown great potential in clinical diagnosis and could become an excellent auxiliary tool in clinical practice. This study investigates and evaluates ChatGPT in diagnostic capabilities by comparing the performance of GPT-3.5 and GPT-4.0 across model iterations. This study aims to evaluate the precise diagnostic ability of GPT-3.5 and GPT-4.0 for colon cancer and its potential as an auxiliary diagnostic tool for surgeons and compare the diagnostic accuracy rates between GTP-3.5 and GPT-4.0. We precisely assess the accuracy of primary and secondary diagnoses and analyze the causes of misdiagnoses in GPT-3.5 and GPT-4.0 according to 7 categories: patient histories, symptoms, physical signs, laboratory examinations, imaging examinations, pathological examinations, and intraoperative findings. We retrieved 316 case reports for intestinal cancer from the Chinese Medical Association Publishing House database, of which 286 cases were deemed valid after data cleansing. The cases were translated from Mandarin to English and then input into GPT-3.5 and GPT-4.0 using a simple, direct prompt to elicit primary and secondary diagnoses. We conducted a comparative study to evaluate the diagnostic accuracy of GPT-4.0 and GPT-3.5. Three senior surgeons from the General Surgery Department, specializing in Colorectal Surgery, assessed the diagnostic information at the Chinese PLA (People's Liberation Army) General Hospital. The accuracy of primary and secondary diagnoses was scored based on predefined criteria. Additionally, we analyzed and compared the causes of misdiagnoses in both models according to 7 categories: patient histories, symptoms, physical signs, laboratory examinations, imaging examinations, pathological examinations, and intraoperative findings. Out of 286 cases, GPT-4.0 and GPT-3.5 both demonstrated high diagnostic accuracy for primary diagnoses, but the accuracy rates of GPT-4.0 were significantly higher than GPT-3.5 (mean 0.972, SD 0.137 vs mean 0.855, SD 0.335; t285=5.753; P<.001). For secondary diagnoses, the accuracy rates of GPT-4.0 were also significantly higher than GPT-3.5 (mean 0.908, SD 0.159 vs mean 0.617, SD 0.349; t285=-7.727; P<.001). GPT-3.5 showed limitations in processing patient history, symptom presentation, laboratory tests, and imaging data. While GPT-4.0 improved upon GPT-3.5, it still has limitations in identifying symptoms and laboratory test data. For both primary and secondary diagnoses, there was no significant difference in accuracy related to age, gender, or system group between GPT-4.0 and GPT-3.5. This study demonstrates that ChatGPT, particularly GPT-4.0, possesses significant diagnostic potential, with GPT-4.0 exhibiting higher accuracy than GPT-3.5. However, GPT-4.0 still has limitations, particularly in recognizing patient symptoms and laboratory data, indicating a need for more research in real-world clinical settings to enhance its diagnostic capabilities.

An enhanced digital twin-driven fault detection and isolation method based on sensor series imaging mechanism for gas turbine engine

Condition based maintenance plays a crucial role in ensuring the safety and reliability of gas turbine engine. Specifically, fault detection and isolation (FDI) can improve efficiency and reduce costs during maintenance. The traditional FDI methods, which developed only using physical engine data, lack a comprehensive consideration of high accuracy and strong applicability across different engine individuals. In this paper, an enhanced digital twin-driven FDI method is proposed, which combines a digital engine, sensor series imaging mechanism and a convolutional neural network. The digital engine is constructed to mirror the operational status of the physical engine. The output residuals between the physical and digital engines are transformed into multi-channel images to train a convolutional neural network for FDI of the physical engine. The network is then fine-tuned using fault-free data from the target engine to further strengthen diagnostic performance across different engine individuals. The effectiveness of the digital engine is verified using actual ground test data, and the performance of the proposed method is demonstrated through comparative simulations. The network, trained on operational data from Engine A and fine-tuned with fault-free data from other engines, exhibits the highest diagnostic accuracy and fault isolation rate. Compared with the physical engine data-based method, the accuracy is increased from 68.25% to 97.95%, the fault isolation rate is improved from 85.91% to 99.26%, and the false alarm rate is decreased from 4.41% to 0.34%. The results show that the proposed method has better FDI capabilities across different engine individuals.

Efficacy and Safety of 20G vs. 22G Needles in CT-Guided Transthoracic Fine Needle Aspiration Biopsies

Aim: This study aims to compare the diagnostic accuracy and complication rates of 20G and 22G needles in transthoracic fine needle aspiration biopsy (TFNAB). Method: This retrospective study reviewed lung biopsy results from procedures performed between January 2018 and March 2020. Patients included had non-diagnostic bronchoscopic biopsies or were deemed inappropriate for bronchoscopic biopsy. A total of 127 patients underwent Computed tomography (CT) guided TFNAB using either 20G or 22G needles. Data on lesion size, localization, diagnostic adequacy, and complications were collected and analyzed. Results: The study cohort included 127 patients with a mean age of 63.21 years. Of these, 72 underwent biopsies with a 22G needle and 55 with a 20G needle. The overall diagnostic accuracy was 96.8%, with no significant differences between the 20G and 22G needle groups (p=0.206). Complications occurred in 59 patients (46.5%), with pneumothorax being the most common, and two cases required chest tube placement. The rate of pulmonary hemorrhage was 18.9%. There were no significant differences in complication rates between the needle sizes (p=0.985). Conclusion: CT-guided TFNAB using both 20G and 22G needles is safe and effective, with high diagnostic accuracy and low complication rates. The choice of needle size does not significantly impact diagnostic outcomes or complication rates, allowing clinicians flexibility based on patient-specific factors and procedural requirements.

Validation of a diagnostic flowchart for tuberculous pleurisy in pleural fluid with high levels of adenosine deaminase

IntroductionAdenosine deaminase (ADA) in pleural fluid is a useful marker for diagnosing tuberculous pleurisy. However, recent studies have reported a lower specificity of pleural fluid ADA levels. We previously developed a diagnostic flowchart for patients with pleural fluid ADA ≥40 U/L, incorporating variables such as pleural fluid lactate dehydrogenase <825 U/L, predominant pleural fluid neutrophils or cell degeneration, and a pleural fluid ADA/total protein ratio <14. This flowchart was effective in distinguishing between tuberculous pleurisy and other diseases. Here, we conducted a validation analysis of this flowchart. Materials and methodsWe retrospectively collected data from 458 patients with pleural fluid ADA concentrations ≥40 U/L across eight institutions from January 2019 to December 2023. The diagnostic accuracy rate, sensitivity, and specificity of the diagnostic flowchart were analysed and compared to those in the original study. ResultsEighty-seven patients were diagnosed with tuberculous pleurisy, and 371 patients were diagnosed with other diseases. The diagnostic accuracy, sensitivity, and specificity for diagnosing tuberculous pleurisy were 77.7%, 86.2%, and 75.7%, respectively. Compared with that in the original study, the rate of tuberculous pleurisy was lower (19.0% vs. 44.5%, p < 0.001), but the diagnostic accuracy rates were not significantly different (p = 0.253). On the basis of the findings from this validation study, we have revised the flowchart to enhance its utility. ConclusionThe diagnostic flowchart exhibited high diagnostic accuracy in this validation study, comparable to that in the original study. This validation confirms the effectiveness of the flowchart, even in settings with a low incidence of tuberculosis.

Diagnosis of hyperprolactinemia by single serum prolactin determination: Challenges and recommendations

Secretion of prolactin follows a circadian rhythm of secretion, and several factors play an important role in the regulation of its secretion. An accurate diagnostic evaluation is essential for the proper management of the patient, which can be accomplished through a narrow observation and critical analysis of all the prolactin results which are above the standard upper limit of normal. If the circulating prolactin level exceeds five times the upper normal limit, a single test is sufficient to diagnose hyperprolactinemia. However, mildly elevated (20–40 ng/ml) results should be confirmed with at least two tests to counteract the circadian fluctuation or other factors causing transitory elevation. Repeat analysis of circulating prolactin on a later date preferably with 2–3 samples collected at few min interval is also recommended to minimize the effect of pulsatility when the elevation of serum PRL is doubtful (may be due to venipuncture induced stress) or when results are inconsistent with the clinical features. This review article presents an overview of the biological and analytical aspects of prolactin along with the impact of stress on prolactin secretion, as well as the current approach employed to tackle the chances of misdiagnosis and overtreatment. However, to understand the exact mechanism of stress induced hyperprolactinemia and its implications, further research is required.

Bushing fault diagnosis based on SVM and the improved sparrow search algorithm

Abstract In order to address the issue of low precision in traditional bushing fault diagnosis, a bushing fault diagnosis method based on an improved sparrow search algorithm (ISSA) and support vector machine (SVM) is proposed in this paper. Firstly, the bushing vibration signals are extracted by wavelet packet, and the feature vectors are used as inputs for the SVM. In view of the impact of support vector machine parameters on the model, a sparrow search algorithm is proposed for intelligent optimization. To prevent reaching a local optimum, adaptive inertia weight is added based on the original approach. The final bushing fault diagnosis model is established by training. Comparison experiments with three fault diagnosis models, SSA-SVM, PSO-SVM, and SVM, found that the proposed method achieves complete diagnosis in a shorter time, and the diagnostic accuracy rate is 96.5%, which verifies the feasibility and effectiveness of the model.

Update on PI-RADS Version 2.1 Diagnostic Performance Benchmarks for Prostate MRI: Systematic Review and Meta-Analysis.

Background Prostate MRI for the detection of clinically significant prostate cancer (csPCa) is standardized by the Prostate Imaging Reporting and Data System (PI-RADS), currently in version 2.1. A systematic review and meta-analysis infrastructure with a 12-month update cycle was established to evaluate the diagnostic performance of PI-RADS over time. Purpose To provide estimates of diagnostic accuracy and cancer detection rates (CDRs) of PI-RADS version 2.1 categories for prostate MRI, which is required for further evidence-based patient management. Materials and Methods A systematic search of PubMed, Embase, Cochrane Library, and multiple trial registers (English-language studies published from March 1, 2019, to August 30, 2022) was performed. Studies that reported data on diagnostic accuracy or CDRs of PI-RADS version 2.1 with csPCa as the primary outcome were included. For the meta-analysis, pooled estimates for sensitivity, specificity, and CDRs were derived from extracted data at the lesion level and patient level. Sensitivity and specificity for PI-RADS greater than or equal to 3 and PI-RADS greater than or equal to 4 considered as test positive were investigated. In addition to individual PI-RADS categories 1-5, subgroup analyses of subcategories (ie, 2+1, 3+0) were performed. Results A total of 70 studies (11 686 lesions, 13 330 patients) were included. At the patient level, with PI-RADS greater than or equal to 3 considered positive, meta-analysis found a 96% summary sensitivity (95% CI: 95, 98) and 43% specificity (95% CI: 33, 54), with an area under the summary receiver operating characteristic (SROC) curve of 0.86 (95% CI: 0.75, 0.93). For PI-RADS greater than or equal to 4, meta-analysis found an 89% sensitivity (95% CI: 85, 92) and 66% specificity (95% CI: 58, 74), with an area under the SROC curve of 0.89 (95% CI: 0.85, 0.92). CDRs were as follows: PI-RADS 1, 6%; PI-RADS 2, 5%; PI-RADS 3, 19%; PI-RADS 4, 54%; and PI-RADS 5, 84%. The CDR was 12% (95% CI: 7, 19) for transition zone 2+1 lesions and 19% (95% CI: 12, 29) for 3+0 lesions (P = .12). Conclusion Estimates of diagnostic accuracy and CDRs for PI-RADS version 2.1 categories are provided for quality benchmarking and to guide further evidence-based patient management. © RSNA, 2024 Supplemental material is available for this article. See also the editorial by Tammisetti and Jacobs in this issue.

Effectiveness of pre-operative routine MRCP in patients scheduled for laparoscopic cholecystectomy

Background: Cholelithiasis is one of the most common surgical diseases worldwide. Laparoscopic cholecystectomy is the gold standard treatment for cholelithiasis, and has become the most common performed gastro intestinal operation. The prevalence is higher in women (7.7%) than in men (3.3%). We aimed to investigate the effectiveness of pre-routine magnetic resonance cholangiopancreatography (MRCP) before performing scheduled Laparoscopic cholecystectomy. Methods: This was a prospective observational study conducted in the Department of General Surgery, Dhaka Central International Medical College, and selected single private Hospital from Dhaka, Bangladesh during the period from January 2021 to January 2023. In our study, we included 90 female patients presented with acute or chronic calculus cholecystitis. All patients were diagnosed with multiple gall stones diseases on USG abdomen after initial clinical evaluation were included in this study. Result: In our study, we found the mean age was 34.97±8.48 years. Among 90 patients USG showed multiple stones in 85(94.44%) patients whereas, MRCP showed stones only in 24 (26.67%) patients. Among patients with normal CBD, MRCP found 25.33 % and USG found 93.33% with stones. There were 3 patients with more than 5 mg/dl. bilirubin who was diagnosed with stones in both findings. Among the patients with 148-220 ALP levels, both USG and MRCP found 90.48% of patients with stones. We found 1 true negative case and 20 true positive cases of multiple stones (with a p value of 0.017). Conclusion: We found that MRCP helps increase the safety of perioperative management in some cases. Preoperative ultrasonography has a low diagnostic accuracy rate when it comes to patients who also have gallstones and CBD stones. So, individuals with gallstones are advised to undergo a normal preoperative MRCP examination.

Reproducibility of the Paris System in Urine Cytology by Third-Year Pathology Residents

Introduction: Standardized basic morphology and the algorithmic approach make the Paris System (TPS) for Reporting Urinary Cytology understandable and applicable. This study examined how well the TPS categories are understood by pathology residents and how well these criteria are enabling them reaching accurate diagnosis. Materials/Methods: A hundred consecutive cases representing all categories were selected. Authors reevaluated slides using TPS regardless of their original diagnosis. In the next step, the TPS was explained to four residents and trained them by five optimal urine cytology samples from each category. Then they were asked to diagnose the selected slides according to the TPS. The diagnoses were compared to authors. The agreement was assessed using kappa. Discordant diagnoses were classified as high and low impact based on potential on clinical practice. Results: The sensitivity of authors was 62.8%, and residents’ were 24–31.8%. The specificity of authors was 98.8%, and residents’ were 82.3–92.8%. Reproducibility of TPS was 40–46%. Kappa values were below 0.40 except for one resident. The highest rate of concordance was for negative for high-grade urothelial carcinoma (NHGUC): authors assigned 38 NHGUC (35 biopsy-proven benign cases). Twenty to twenty-six of them were assigned as NHGUC by residents. While authors assigned 42 cases as suspicious for high-grade urothelial carcinoma (SHGUC) or high-grade urothelial carcinoma (HGUC) (35 biopsy-proven malignant cases), residents assigned 22–29 of them. Discordant diagnosis with high clinical implication was 56–63%. Conclusion: Diagnostic accuracy rates of junior pathology residents using the TPS were unsatisfactory. The best agreement was observed in NHGUC and HGUC categories. Combining HGUC and SHGUC doubled the sensitivity of residents.