Increase In Detection Rate Research Articles

Effect of Troughing on the Identification of the Second Mesiobuccal Canals With and Without Calcifications in Maxillary First Molars.

This study tested the impact of troughing on the detection rates of MB2 canals with and without calcifications. Traditional access cavities were prepared and the detection of MB2 canals was recorded in 200 maxillary molars selected based on micro-CT scans. In specimens, the MB2 orifice was not detected; troughing was performed. The number of negotiated MB2 with and without troughing was compared with micro-CT using McNemar's test. After traditional access cavity preparation without troughing, the operator detected MB2 in 142 specimens (82%). Troughing of the remaining specimens led to the further identification of 16 MB2 canals, increasing detection rate to 91%. Troughing significantly improved the detection rate of non-calcified MB2s (p < 0.05) but did not significantly impact the detection of calcified MB2 canals (p > 0.05). While troughing is highly effective in enhancing MB2 canal detection in non-calcified canals, it may be limited in cases where calcification is present.

Intrusion Detection System: An Ensemble Deep Learning Approach for Cloud Computing Using EBWO

Cloud computing is the industry standard for data storage, sharing, processing, and other services. It experienced numerous security problems as a result of the regular attacks. These security issues are worsened by the variety of attack situations that exist. One of the most established safety measures applied to cloud computing is the intrusion detection system (IDS). An effective security model is necessary for the IDS system, though, to increase cloud security. In this study, we used ensemble categorization methods and a feature selection algorithm to construct an effective IDS for the cloud environment. The proposed BOT-IOT, CSE-CIC-IDS 2018, and Ciciddos datasets were pre-processed, which involved cleaning the data, applying one hot encoding, and normalizing steps. The Enhanced Black Widow Optimization (EBWO) algorithm was employed to choose the most advantageous reduced feature sets from the provided incursion datasets. We used an ensemble of Hierarchical Multi-scale LSTM (HMLSTM) and Darknet Convolutional Neural Network (DNetCNN) to categorize the attacks. The combination of DNetCNN and HMLSTM was used to identify intrusions, effectively classifying attacks, lowering false alarm rates, and increasing detection rates. Simulation research showed that the proposed strategy performed better than the baseline in terms of F-Score, DR, and FPR, as well as accuracy, detection rate, and precision.

High Detection Rate of Posterolateral Tibial Plateau Fractures and Poor Functional Outcomes in Type IIIB Impaction Fractures After Anterior Cruciate Ligament Rupture and Reconstruction.

The incidence of anterior cruciate ligament (ACL) ruptures has been increasing annually. However, clinical surgeons have overlooked the impaction fractures of the posterolateral tibial plateau and lateral femoral condyle in patients with ACL ruptures. The purpose of the present study was to report the detection rate of the posterolateral tibial plateau impaction fractures in patients with ACL ruptures, and to evaluate the functional outcomes of patients following ACL reconstruction (ACLR) without treatment of the tibial fractures at a 2-year postoperative follow-up. Four hundred eighty-eight patients treated for ACL ruptures between January 2016 and June 2020 were retrospectively reviewed, and the posterolateral tibial plateau impaction fractures were classified based on MRI assessment. The detection rate of the posterolateral tibial plateau impaction fractures was calculated, and the functional outcomes (SF-12 Mental Component Summaries, SF-12 Physical Component Summaries, Tegner, Lysholm, IKDC, and KOOS) were evaluated at a 2-year postoperative follow-up. The detection rate of posterolateral tibial plateau impaction fractures was 41.6% among ACL ruptures. Of these, 285 cases (58.4%) had no fractures, 98 cases (20.1%) had type I impaction fractures, 41 cases (8.4%) had type IIA impaction fractures, 15 cases (3.1%) had type IIB impaction fractures, 22 cases (4.5%) had type IIIA impaction fractures, and 27 cases (5.5%) had type IIIB impaction fractures. Patients with type IIIA or IIIB impaction fractures showed an increased detection rate of contact mechanism compared to the other subgroups. Significant differences in Tegner (postoperation) and KOOS (QOL) were found between no fracture and type IIIB impaction fractures in patients following ACLR. The detection rate of posterolateral tibial plateau impaction fractures in patients with ACL ruptures was high. Patients with type IIIB impaction fractures following ACLR had poor functional outcomes.

The Relationship Between Empirical Avoidance, Anxiety, Difficulty Describing Feelings and Internet Addiction Among College Students: A Moderated Mediation Model

With the increasing detection rate of Internet addiction in college students, the correlation between Internet addiction and emotional problems is further strengthened. Therefore, it is crucial to actively investigate the emotional mechanisms underlying college students’ internet addiction to foster their healthy development. This study establishes a moderated mediation model based on the relationships among experiential avoidance, internet addiction, anxiety, and difficulty describing feelings to explore the link between experiential avoidance and internet addiction, the mediating role of anxiety, and the moderating effect of difficulty describing feelings. The study collected data from 1,591 Chinese college students across seven provinces (municipalities), utilizing measures such as the Experiential Avoidance Questionnaire, the Internet Addiction Scale, the Anxiety Subscale, and the Difficulty Describing Feelings Scale. A cross-sectional analysis was conducted to further investigate the potential emotional mechanisms behind college students’ internet addiction. The results indicated that experiential avoidance significantly predicts internet addiction among college students, with anxiety mediating the relationship between experiential avoidance and internet addiction. Additionally, difficulty describing feelings moderate the relationship between experiential avoidance and anxiety. These findings further suggest that emotional disorders such as experiential avoidance, anxiety, and difficulty describing feelings are potential risk factors behind college students’ internet addiction. The study recommends enhancing psychological counseling and other intervention measures in interventions for college students’ internet addiction.

Fusion MRI/Ultrasound-Guided Transperineal Biopsy: A Game Changer in Prostate Cancer Diagnosis.

Background/Objectives: Multiparametric-Magnetic Resonance Imaging(mp-MRI) presents the ability to detect clinically significant cancer, aiming to avoid biopsy if the results are negative or target an abnormal lesion if a suspected lesion of the prostate is found. Recent guidelines recommend the performance of 12 standard biopsies along with 3 to 5 targeted biopsies in suspected prostate lesions, depending on the size of the prostate lesion. In addition, prostate biopsy can be performed by either the transperineal or the transrectal approach. The aim of this comprehensive review is to highlight the role of both standard and targeted MRI/Ultrasound (US) fusion transperineal biopsy (TPB) in the diagnostic approach of prostate cancer cases, to report its diagnostic efficacy and complication rates and to suggest the promising usage of MRI/US fusion TPB in the future. Methods: A comprehensive review of the existing literature, including systematic reviews, meta-analyses, and clinical guidelines, was conducted to compare the efficacy and safety of transperineal and transrectal approaches in prostate cancer detection. Special emphasis was placed on mp-MRI-guided targeted biopsy and its combination with systematic sampling. Results: Prostate biopsy via the transperineal approach is related to increased detection rates, especially for anterior lesions, and decreased infection risk compared to the transrectal approach, while complication rates (hematuria, hemospermia, etc.) remain similar. Due to lower infection rates via the transperineal route, the performance of prostate biopsy using the transperineal approach is strongly recommended. Finally, transperineal fusion MRI/US biopsy can be valuable for repeat biopsies in patients who had an initial negative biopsy or for the follow-up of patients that undergo active surveillance. Conclusions: MRI/US fusion-guided TPB represents a significant advancement in prostate cancer diagnostics, combining improved precision with reduced infection risks. Although TPB presents higher detection rates for anterior prostatic lesions and lower post-biopsy infection rates, there is no significant difference in cancer detection rates compared to TRB. Targeted training and investment may reduce long-term expenses of TPB by lowering hospitalizations, antibiotic usage, and related costs. Future research should further refine this approach and explore its integration with emerging technologies like artificial intelligence for enhanced lesion targeting and diagnostic accuracy.

Enhancing Intrusion Detection Systems With Advanced Machine Learning Techniques: An Ensemble and Explainable Artificial Intelligence (AI) Approach

ABSTRACTThe increasing sophistication of cyber threats necessitates advancements in intrusion detection systems (IDS). This research introduces a novel IDS framework that integrates advanced machine learning (ML) techniques, including ensemble learning, transfer learning, and feature engineering, to enhance detection accuracy, adaptability, and interpretability. The ensemble learning component combines diverse classifiers (e.g., decision trees, k‐nearest neighbors, and logistic regression), leveraging their unique strengths to boost detection rates by 15%, achieving a final accuracy of 95%. Transfer learning is implemented by pre‐training models on related cybersecurity datasets (UNSW‐NB15, NSL‐KDD, and CICIDS2019) and fine‐tuning them on the merged dataset, effectively reducing training time by 30%. Feature engineering involves advanced techniques such as interaction features and statistical transformations, which improve the model's sensitivity and increase detection rates by 20%, especially for complex attack patterns. To enhance transparency and interpretability, this study incorporates Explainable AI (XAI) methods, specifically LIME (Local Interpretable Model‐agnostic Explanations) and SHAP (SHapley Additive exPlanations). LIME approximates the local behavior of the complex model by fitting interpretable models around individual predictions, providing insights into feature contributions for specific instances. On the other hand, SHAP offers a global explanation based on cooperative game theory, assigning Shapley values to each feature to quantify their overall importance. This dual approach allows security analysts to understand the importance of local decision‐making and global features, increasing trust in the IDS predictions and aiding in identifying false positives and complex threats like zero‐day attacks. The proposed framework demonstrates robust scalability and robustness, making it capable of processing large volumes of network traffic data with minimal latency. However, challenges such as computational overhead from ensemble and XAI methods and the need for extensive labeled datasets for training were identified. The IDS framework's modular design facilitates integration with existing Security Information and Event Management (SIEM) systems, enhancing its practical applicability in enterprise, cloud, and IoT environments. Future research directions include exploring deep learning‐based ensemble methods, real‐time adaptive learning algorithms, and applying the framework in other domains like fraud detection and healthcare. Additionally, enhancing user‐centric explanations and developing interactive interfaces for analysts could further improve the interpretability and effectiveness of the IDS.

Impact of adipocytes on ultrasound evaluation of parathyroid adenomas.

Parathyroid lipoadenomas are difficult to recognize preoperatively; hence, they may remain undetected. Difficulty in recognition is thought to be due to the adipocytes present in the tumor. This study aimed to clarify the impact of adipocytes as a component of parathyroid adenomas on ultrasound evaluation. Eighteen parathyroid adenoma cases, in which the adipose tissue accounted for more than 10% of the tumors, were included in this study. Of these, five were consistent with lipoadenomas. Twenty-five consecutive patients with parathyroid adenoma without adipocytes were used as controls. Ultrasonography revealed a lipoadenoma detection rate of 20.0%. This increased to 80.0% at re-examinations performed after obtaining information from other imaging modalities. Compared with parathyroid adenoma cases with no adipocytes or few adipocytes, the frequencies of ill-defined margins, iso- and/or hyperechogenicity, heterogeneous consistency with a two-tone pattern, poor vascular flow, no polar artery, and no hyperechoic line were significantly higher in parathyroid lipoadenoma cases. The hyperechoic and isoechoic areas in tumors with a two-tone pattern correspond to adipocyte- and parathyroid cell-rich areas, respectively. The lipoadenoma tumor sizes measured using ultrasound tended to be smaller than the actual sizes. The characteristic ultrasound findings of lipoadenomas were clearly different from those of parathyroid adenomas with or without adipocytes. We believe that our findings may contribute to an increased detection rate of lipoadenomas and allow us to consider them in the differential diagnosis.

Differential characteristics of vaginal versus endometrial microbiota in IVF patients.

Abnormal female reproductive tract microbiota are associated with gynecological disorders such as endometriosis or chronic endometritis and may affect reproductive outcomes. However, the differential diagnostic utility of the vaginal or the endometrial microbiome and the impact of important technical covariates such as the choice of hypervariable regions for 16S rRNA sequencing remain to be characterized. The aim of this retrospective study was to compare vaginal and endometrial microbiomes in IVF patients diagnosed with implantation failure (IF) and/or recurrent pregnancy loss (RPL) and to investigate the overlap between established vaginal and endometrial microbiome classification schemes. An additional aim was to characterize to which extent the choice of V1-V2 or V2-V3 16S rRNA sequencing schemes influences the characterization of genital microbiomes. We compared microbiome composition based on V1-V2 rRNA sequencing between matched vaginal smear and endometrial pipelle-obtained biopsy samples (n = 71); in a sub-group (n = 61), we carried out a comparison between V1-V2 and V2-V3 rRNA sequencing. Vaginal and endometrial microbiomes were found to be Lactobacillus-dominated in the majority of patients, with the most abundant Lactobacillus species typically shared between sample types of same patient. Endometrial microbiomes were found to be more diverse than vaginal microbiomes (average Shannon entropy = 1.89 v/s 0.75, p = 10-5) and bacterial species such as Corynebacterium sp., Staphylococcus sp., Prevotella sp. and Propionibacterium sp. were found to be enriched in the endometrial samples. The use of two widely used clinical classification schemes to detect microbiome dysbiosis in the reproductive tract often led to inconsistent results vaginal community state type (CST) IV, which is associated with bacterial vaginosis, was detected in 9.8% of patients; however, 31,0% of study participants had a non-Lactobacillus-dominated (NLD) endometrial microbiome associated with unfavorable reproductive outcomes. Results based on V2-V3 rRNA sequencing were generally consistent with V1-V2-based; differences were observed for a small number of species, e.g. Bifidobacterium sp., Propionibacterium sp. and Staphylococcus sp. and with respect to slightly increased detection rates of CST IV and NLD. Our study showed that endometrial microbiomes differ substantially from their vaginal counterparts, the application of a trans-cervical sampling method notwithstanding. Characterization of endometrial microbiomes may contribute to the improved detection of women with an unfavorable reproductive outcome prognosis in IVF patients..

Exploring the value of arterial spin labeling and six diffusion MRI models in differentiating solid benign and malignant renal tumors

ObjectiveTo explore the value of three-dimensional arterial spin labeling (ASL) and six diffusion magnetic resonance imaging (MRI) models in differentiating solid benign and malignant renal tumors.MethodsThis retrospective study included 89 patients with renal tumors. All patients underwent ASL and ZOOMit diffusion-weighted imaging (DWI) examinations and were divided into three groups: clear cell renal cell carcinoma (ccRCC), non-ccRCC, and benign renal tumors (BRT). The mean and peak renal blood flow (RBFmean and RBFpeak) from ASL and fourteen diffusion parameters from mono-exponential DWI (Mono_DWI), intravoxel incoherent motion (IVIM), diffusion kurtosis imaging (DKI), stretched exponential model (SEM), fractional order calculus (FROC), and continuous-time random-walk (CTRW) model were analyzed. Binary logistic regression was used to determine the optimal parameter combinations. The diagnostic performance of various MRI-derived parameters and their combinations was compared.ResultsAmong the six diffusion models, the SEM model achieved the highest performance in differentiating ccRCC from non-ccRCC (area under the receiver operating characteristic curve [AUC] 0.880) and from BRT (AUC 0.891). IVIM model achieved the highest AUC (0.818) in differentiating non-ccRCC from BRT. Among all the MRI-derived parameters, RBFpeak combined with DKI_MK yielded the highest AUC (0.970) in differentiating ccRCC from non-ccRCC, and the combination of RBFpeak, SEM_DDC, and FROC_μ yielded the highest AUC (0.992) for differentiating ccRCC from BRT.ConclusionASL and all diffusion models showed similar diagnostic performance in differentiating ccRCC from non-ccRCC or BRT, while the IVIM model performed better in distinguishing non-ccRCC from BRT. Combining ASL with diffusion models can provide additional value in predicting ccRCC.Relevance statementConsidering the increasing detection rate of incidental renal masses, accurate discrimination of benign and malignant renal tumors is crucial for decision-making. Combining ASL with diffusion MRI models offers a promising solution to this clinical issue.Key PointsAll assessed models were effective for differentiating ccRCC from non-ccRCC or BRT.ASL and all diffusion models showed similar performance in differentiating ccRCC from non-ccRCC or BRT.Combining ASL with diffusion models significantly improved diagnostic efficacy in predicting ccRCC.IVIM model could better differentiate non-ccRCC from BRT.Graphical

Esophagogastroduodenoscopy Quality Improvement and the Role of Topical Antiperistaltic Agents: A Systematic Review and Meta-Analysis.

Gastric cancer (GC) represents one of the most lethal forms of cancer.When identified at an early stage, conventional treatment can be curative. The key to identifying GC at an early stage ishigh-quality esophagogastroduodenoscopy (EGD). This has led to an increased focus on quality standards in EGD to improve the detection rates of early GC and its premalignant lesions (PMLs), such as atrophic gastritis. In Asia, the routine use of antiperistaltic (antispasmodic) agents is advocated to improve the quality of mucosal visualization during diagnostic EGD. The rationale is that the cessation of peristalsis should yield a more stable intragastric visual field to enhance the detection of early GC. Hyoscine and glucagon are commonly used as antiperistaltic agents. Both, however, must be given either intravenously or via intramuscular injection. They both also have potentially serious systemic side effects, which can limit their routine use, particularly in the elderly or co-morbid patients. As a result of these side effects, there is growing interest in using peppermint oil or L-menthol topically as anti-peristaltic agents. As these agents are applied topically (either via direct spraying during the EGD or consumed as a premedication before the EGD), they are associated with fewer adverse events than systemically applied agents. This study aimed to synthesize, for the first time, the available data on the use of topically applied anti-peristaltic agents to decrease or stop peristalsis during diagnostic EGDs.This study is a systematic review and meta-analysis of published randomized controlled trials. Its reporting is per the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. This study was registered prospectively with the PROSPERO register, registration number CRD42024601488. This systematic review and meta-analysis encompassed five high-quality randomized controlled trials with a low risk of bias. All included studies were conducted in Asian countries between 2011 and 2022. They comprised 538 patients, with a mean age of 62.7. Four of the included studies look at topically applied L-menthol at 160 mg, while one study looked at the role of 160 mg of phloroglucinol administered as a 20 mL oral premedication liquid 15 minutes before the EGD. All included trials involved diagnostic EGDs and reported their primary outcomes using the same scoring systems. The primary outcome of interest for this study was the efficacy of the antiperistaltic agents at stopping peristalsis for the duration of a diagnostic EGD. We found an odds ratio of 4.22 with a 95% confidence interval ranging from 2.47 to 7.21, favoring the antiperistaltic agents in terms of attaining a peristalsis score of 1 after administration. This systematic review and meta-analysis represent the most up-to-date review on topical antiperistaltic agents during diagnostic EGD. We found that topical antiperistaltic agents effectively decrease or stop peristalsis during an EGD, and these effects persist for the duration of the EGD. Larger-scale studies willbe required to determine whether their routine usetranslates into increased detection rates of early GC and its PMLs.

Abstract IA004: Early cancer dissemination: Circulating tumor cells in ductal carcinoma in situ patients

Abstract Raised awareness about the importance of early breast cancer diagnostics has led to an increased detection rate of ductal carcinoma in situ (DCIS) through mammographic screening. DCIS, often termed as 'Stage 0' carcinoma, is characterized by neoplastic cells confined within the basement membrane. Despite the significant treatment efforts for most DCIS patients, the 20-year breast cancer mortality rate post-diagnosis, with or without treatment, remains at 3.3%. To deepen the understanding of breast cancer oncogenesis, recent studies have highlighted the clonal diversity within the DCIS tumor microenvironment and the presence of disseminated tumor cells in DCIS patients. Nonetheless, significant gaps persist in identifying diagnostic characteristics that predict which DCIS patients are more likely to experience progression or recurrence. Ultimately, this project aims to enhance DCIS patient stratification through the high-throughput isolation and analysis of circulating biomarkers. In this study, we establish a novel workflow that addresses the limitations of traditional tissue-based diagnostics by transitioning to liquid biopsies. This research not only builds upon emerging evidence of early breast cancer cell dissemination during carcinogenesis but also explores the utility of circulating tumor cells (CTCs) as biomarkers in DCIS. The use of the labyrinth, a high-throughput inertial microfluidic device, has shown success in isolating CTCs based on their larger size relative to white blood cells. Unlike antigen- based isolation methods, inertial microfluidic devices can capture heterogeneous CTCs with varying surface proteins. Leveraging this technology, we successfully isolated and identified CTCs in DCIS patients. Furthermore, single-cell RNA sequencing of the isolated DCIS CTCs allowed us to identify prognostically significant signatures. Overall, our study presents a workflow capable of identifying characteristics associated with a greater risk of progression, thus contributing valuable insights into the stratification and management of DCIS patients. Citation Format: Sunitha Nagrath, Neha Nagpal, Brittany Rupp, Yan Hong, Fariba Behbod, Max Wicha. Early cancer dissemination: Circulating tumor cells in ductal carcinoma in situ patients [abstract]. In: Proceedings of the AACR Special Conference: Liquid Biopsy: From Discovery to Clinical Implementation; 2024 Nov 13-16; San Diego, CA. Philadelphia (PA): AACR; Clin Cancer Res 2024;30(21_Suppl):Abstract nr IA004.

A Prospective Observational Study on Analyzing Lung Cancer Gene Mutation Variant Allele Frequency (VAF) and Its Correlation with Treatment Efficacy.

A few studies have reported on the variability of the variant allele frequency (VAF) of gene mutations and the relationship between VAF and the therapeutic effect of molecular-targeted drugs. This joint study was conducted from May 2020 to January 2022 between St. Marianna University School of Medicine and the DNA Chip Research Institute. Cytology samples were used to verify the usefulness of a lung cancer compact panel test, which is a high-sensitivity next-generation sequencing (NGS) gene panel test. We analyzed the distribution of VAF and the duration of the initial molecular-targeted drug administration in patients with advanced-stage epidermal growth factor receptor (EGFR) mutations. Of the 196 patients diagnosed with non-small cell carcinoma (NSCLC), gene mutations were detected in 114 (58.2%) cases and in 68.7% of patients with adenocarcinomas (an increased detection rate). A VAF of 30% or more for DNA mutations was confirmed in 35 patients (33.7%), 10% to <30% in 38 (36.5%), and <10% in 31 (29.8%), including 18 patients (17.3%) with <6%, which is considered the lower limit of the LOD for other companion diagnostic kits. EGFR mutations were detected in 59 patients (30%), of whom 35 were in an advanced stage and received molecular-targeted drugs as their initial treatment. Groups A and B comprised patients with a VAF of ≥10% and <10%, respectively, with 27 patients (median VAF 30.6%, range 11.4-77%) in group A and 8 (median VAF 5.4%, range 0.1-8.5%) in group B. The duration of the administration of molecular-targeted drugs was 17 months (range 3-42 months) in group A and 14 months (range 1-45 months) in group B, with no statistically significant difference between the two groups (p-value = 0.7). Twenty-seven percent of patients had a VAF < 10%. Even in patients with a low VAF for gene mutations, sufficient therapeutic effects were observed with molecular-targeted drugs, suggesting the importance of detecting mutations using a highly sensitive method at initial diagnosis. Further prospective validation studies of a larger number of cases are warranted.

Application of small-sized magnetically controlled capsule gastroscopy in upper gastrointestinal diseases screening in asymptomatic individuals.

To explore the application of small-sized magnetically controlled capsule gastroscopy (MCCG) in upper gastrointestinal diseases screening in asymptomatic individuals. A retrospective analysis of the clinical data of 2163 asymptomatic individuals who underwent small-sized MCCG at our center from September 2022 to December 2023. The detection of submucosal tumors, polyps and ulcers in the upper gastrointestinal tract, the tolerance and safety of the subjects were statistically analyzed. Suspected submucosal tumors in the upper gastrointestinal tract were detected in 34 (1.57%) of 2136 subjects, with a higher incidence in females and no observed age difference. Polyps were detected in 328 subjects (15.16%), with a higher incidence in females and an increased detection rate with increasing age. Ulcers were detected in 27 subjects (1.25%), with a higher incidence in males and no observed age difference. There was no significant discomfort in all subjects, and no adverse event or capsule retention occurred. Small-sized MCCG can be used for focal lesion screening in the upper gastrointestinal tract and is comfortable and safe, making it a safe and efficient method for examining upper gastrointestinal diseases in the physical examination population.

Dynamic sequential cross-sectional scanning increases detection rate of congenital heart disease in sonographers: a prenatal ultrasound training program

BackgroundPrenatal ultrasound is the preferred modality for diagnosing fetal congenital heart disease. Given issues of physician proficiency and hospital distribution, we propose a dynamic sequential cross-sectional scanning (SCS) to explore the feasibility of cardiac screening by sonographers with less than 5 years of experience in ultrasound.Materials and methodsTwenty residents were randomly divided into two groups, receiving training in the American Institute of Ultrasound in Medicine (AIUM) fetal echocardiography and the SCS method. According to the needs of training, the professional staff developed the theoretical knowledge question bank, the CHD ultrasonic video disease bank, and the assessment scale. Trainees completed the pre-training examination, theory and skill operation training, and post-training assessment. For the two groups, the theoretical knowledge, skill operation and disease diagnosis were analyzed statistically before and after training.ResultsAfter training, the trainees in both groups had significantly improved knowledge and diagnostic abilities, their diagnostic thinking about CHD was clear, and they could identify major or even all structural abnormalities and make a definite diagnosis. In terms of skill operation, both groups could complete all required scanning within the specified time. The scanning time of the SCS group was significantly lower than that of the AIUM group, and the effect of the receptor site in the AIUM group was significantly higher than that in the SCS group.ConclusionSCS can be used as a new rapid fetal cardiac scanning method and try to popularize among echocardiographer.

Difficult choledocholithiasis. Literature review

The incidence of stones in the common bile duct in patients with symptomatic gallstone disease varies significantly and depends on age, ranging from 5% to 33%. In 85—90% of cases, choledocholithiasis is effectively treated with endoscopic papillotomy (EPT) and lithoextraction, which is currently considered the standard method for managing this pathology. However, in 10—15% of cases, choledocholithiasis is technically challenging for endoscopic treatment, requiring alternative methods and specialized equipment. This research examines the epidemiological aspects related to the increasing detection rate of choledocholithiasis, which is attributed to advancements in modern diagnostic techniques. Particular emphasis is placed on etiological factors such as genetics, obesity, and dietary habits that enhance bile lithogenicity. The pathogenesis section elucidates the mechanisms underlying primary and secondary stone formation in the bile ducts and their physiological impacts, including such complications as acute cholangitis, biliary sepsis, cholestatic hepatitis, and biliary cirrhosis of the liver. Distinct focus is placed on the criteria for difficult choledocholithiasis, encompassing stone characteristics, location, altered biliary anatomy, and the patient’s general condition. Diagnostic techniques include laboratory and instrumental investigations, particularly ultrasound, magnetic resonance cholangiopancreatography, endoscopic retrograde cholangiopancreatography, and endoscopic ultrasound. The treatment section emphasizes the importance of timely stone removal to prevent complications. Modern treatment options are discussed, including both conservative and surgical methods such as endoscopic procedures and laparoscopic surgeries. The significance of an interdisciplinary approach to the diagnosis and treatment of choledocholithiasis and its many manifestations is emphasized. Difficult choledocholithiasis remains a relevant issue in hepatobiliary surgery, and its effective treatment requires an individualized and multidisciplinary approach, involving endoscopic and laparoscopic technologies.

Impact of artificial intelligence assistance on pulmonary nodule detection and localization in chest CT: a comparative study among radiologists of varying experience levels

The study aimed to evaluate the impact of AI assistance on pulmonary nodule detection rates among radiology residents and senior radiologists, along with assessing the effectiveness of two different commercialy available AI software systems in improving detection rates and LungRADS classification in chest CT. The study cohort included 198 participants with 221 pulmonary nodules. Residents’ mean detection rate increased significantly from 64 to 77% with AI assist, while seniors’ detection rate remained largely unchanged (85% vs. 86%). Residents showed significant improvement in segmental nodule localization with AI assistance, seniors did not. Software 2 slightly outperformed software 1 in increasing detection rates (67–77% vs. 80–86%), but neither significantly affected LungRADS classification. The study suggests that clinical experience mitigates the need for additional AI software, with the combination of CAD with residents being the most beneficial approach. Both software systems performed similarly, with software 2 showing a slightly higher but non-significant increase in detection rates.

Is There a Role for FAPI PET in Urological Cancers?

This work aims to investigate the utility of positron emission tomography/computed tomography (PET/CT) with fibroblast activation protein inhibitors (FAPI) in urological neoplasms, including prostate cancer, urothelial carcinoma, and renal cell carcinoma. Although the available data are very preliminary, FAPI PET showed potential for detecting primary prostate cancer with low prostate-specific membrane antigen expression, while prostate-specific membrane antigen PET/CT outperformed FAPI PET/CT in detecting biochemical recurrence. In urothelial carcinoma, FAPI PET/CT demonstrated increased detection rates compared with deoxy-2-[18F]fluoro-D-glucose PET/CT, in particular in small lymph node metastases, whose identification is still an unmet clinical need. Limited data are available for renal cell carcinoma. In conclusion, FAPI PET emerges as a promising imaging modality for urological neoplasms, in particular bladder cancer. Further research is warranted to establish its role in guiding therapeutic decisions and as a potential novel theranostic agent.

Effectiveness of internal controls mechanisms in preventing and detecting fraud

This review examines the effectiveness of internal control mechanisms in preventing and detecting fraud within organizations. Internal control mechanisms are essential components of corporate governance, designed to safeguard assets, ensure the accuracy of financial records, and promote operational efficiency. The study begins by defining internal controls and their critical role in fraud prevention and detection, highlighting the significance of a robust control environment. The components of the internal control environment, risk assessment, control activities, information and communication, and monitoring activities are discussed to provide a comprehensive understanding of their structure and function. Preventive controls, such as segregation of duties, authorization processes, and access controls, are analyzed to assess their role in minimizing the risk of fraud occurrence. Case studies and examples of organizations with effective preventive measures are presented to illustrate best practices. The challenges and limitations faced by organizations in implementing preventive controls are also explored. Detective controls, including reconciliation processes, internal audits, and whistleblower hotlines, are evaluated for their ability to identify and expose fraudulent activities. The review reviews case studies demonstrating the success of detective controls in uncovering fraud and discusses the obstacles organizations encounter in maintaining effective detection mechanisms. The evaluation section of the study focuses on metrics and indicators used to assess the effectiveness of internal controls, such as the reduction in fraud incidents and increased detection rates. Tools and techniques for evaluation, including internal and external audits, are examined to understand their role in ensuring control effectiveness. The review concludes by offering best practices for enhancing internal control mechanisms, emphasizing continuous monitoring, employee training, and the adoption of advanced technologies. The critical role of management in fostering a culture of ethical behavior and supporting internal audit functions is underscored. Recommendations for organizations and directions for future research are provided to guide ongoing efforts in fraud prevention and detection. Keywords: Fraud Prevention, Internal Control, Detective Control.

Enormous ectopic liver tissue at the gastrohepatic ligament: a rare entity at Muhimbili National Hospital, Tanzania

BackgroundEctopic liver tissue (ELT) is a developmental abnormality in which liver tissue develops at an extrahepatic site without connection to the true liver. It is a rare entity with an incidence of 0.24–0.56% according to data described in laparoscopic or autopsy studies. The detailed mechanism behind the development of ELT is poorly understood. ELT predominantly has an asymptomatic nature, even by means of radiological studies the diagnosis of ELT without surgery or autopsy is difficult. ELT has been reported mostly to be found frequently on the gallbladder and rarely on the gastrohepatic ligament. ELT has increased the potential risk of HCC which makes the resection crucial. Due to its variations anatomically, ELT recognition should gain clinical importance and surgeons need to be aware of these possible disparities.Case presentation.We present a 59-year-old female from Western Tanzania was presented to us with 2-month history of painless upper abdominal swelling. An abdominal CT scan was performed, and it revealed a large mass located at the gastrohepatic region with blood supply mainly from the left hepatic artery and omentum. Technically difficult excision of 17 × 12 cm tumor at gastrohepatic ligament was performed, with uneventful recovery. Post-operative histology results revealed capsulated hepatic parenchyma without the biliary components and limited sinusoids with tissue degeneration. To date, no complications happened during follow-up for one year.ConclusionELT is a rare entity with a predominantly asymptomatic nature. Preoperatively diagnosis is difficult even with images. It has anatomical variation and is hardly found along the gastrohepatic ligament. ELT has increased the potential risk of HCC which makes the resection crucial. Increased awareness of this congenital anomaly may result in increased detection rates.

Survival Patterns Based on First-site–specific Visceral Metastatic Prostate Cancer: Are Outcomes of Visceral Metastases the Same?

Background and objectiveVisceral metastatic disease in prostate cancer patients conveys a poor prognosis. Using advanced imaging techniques, studies have demonstrated increasing detection rates of visceral metastasis. Visceral metastases are now seen in up to 30–60% of prostate cancer patients. Survival patterns of site-specific visceral metastasis are described poorly in the literature. Here, we sought to investigate survival patterns in prostate cancer patients according to their first detected site of visceral metastasis. MethodsRetrospectively, we identified 203 prostate cancer patients with visceral metastases from the Mayo Clinic Advanced Prostate Cancer Registry. Patients were divided into three groups according to the first site of visceral metastases detected: lung, brain, or liver. Visceral metastases were detected primarily on either metabolic imaging (C-11 choline) or prostate-specific membrane antigen positron emission tomography computed tomography (CT) scan. Confirmation of visceral metastasis diagnosis was established with either biopsy when feasible or focused conventional imaging, including focused CT or magnetic resonance imaging. Overall survival and cancer-specific survival were estimated using the Kaplan-Meier method. Univariate and multivariate Cox regression model was conducted to assess different variables that affect overall and cancer-specific survival. Key findings and limitationsOver a median (interquartile range) follow-up duration of 16.2 (3.9–49.8) mo, the overall and cancer-specific survival of the entire cohort suggests better survival patterns in patients with first-site lung metastases than in patients with first-site brain or liver metastases (p < 0.0001). In univariate and multivariate analyses of factors impacting patients’ overall and cancer-specific survival, a high prostate-specific antigen level at diagnosis of visceral metastasis, concomitant bone and lymph node disease, and more than four visceral metastases were associated with poor overall and cancer-specific survival (p < 0.05). On the contrary, first-site lung metastasis was associated with improved overall and cancer-specific survival, compared with first-site liver and brain metastases (p < 0.001). Conclusions and clinical implicationsThese data suggest that prostate cancer patients with visceral metastatic disease have varying survival patterns according to first-site detected visceral metastasis. In our cohort, patients with first-site lung metastasis demonstrated better survival outcomes than patients with first-site brain or liver metastasis. Patient summaryOur study explored the survival outcomes among patients with visceral metastatic prostate cancer employing cutting-edge imaging methods. Prostate cancer patients with metastases to different organs have different survival rates. Patients with cancer spreading to the lungs first showed better survival than those with cancer spreading to the brain or liver first.