Annals of Laboratory Medicine最新文献_第6页

An Unexpected Encounter During a Screening Colonoscopy in a Medical Tourist: A Diagnosis of Hymenolepis nana Infection. 一名医疗游客在接受结肠镜检查时的意外遭遇：诊断为 "海门螺杆菌（Hymenolepis nana）感染"。

IF 4 2区医学

Annals of Laboratory Medicine Pub Date : 2024-11-01 Epub Date: 2024-07-22 DOI: 10.3343/alm.2024.0167

Bosung Park, Hye Won Park, Hyun Jung Park, Eun Jeong Won, Heungsup Sung, Mi-Na Kim

引用次数: 0

Effect of Blood Collection Tubes on Vitamin D Immunoassay Results. 采血管对维生素 D 免疫测定结果的影响

IF 4 2区医学

Annals of Laboratory Medicine Pub Date : 2024-11-01 Epub Date: 2024-07-23 DOI: 10.3343/alm.2024.0234

Hyojin Chae, Sangyoon Lee, Ae-Ran Choi, Sung-Eun Cho, Eun-Jee Oh

引用次数: 0

Comment on "Ionized Magnesium Correlates With Total Blood Magnesium in Pediatric Patients Following Kidney Transplant". 关于 "肾移植后小儿患者电离镁与血镁总量的相关性 "的评论

IF 4 2区医学

Annals of Laboratory Medicine Pub Date : 2024-11-01 Epub Date: 2024-08-20 DOI: 10.3343/alm.2024.0153

Naveen Bangia, Dennis Begos, Bogdan Milojkovic

引用次数: 0

Why Terminology Standards Matter for Data-driven Artificial Intelligence in Healthcare. 为什么术语标准对医疗保健领域的数据驱动型人工智能至关重要？

IF 4 2区医学

Annals of Laboratory Medicine Pub Date : 2024-11-01 Epub Date: 2024-07-03 DOI: 10.3343/alm.2024.0105

Hyeoun-Ae Park

引用次数: 0

Evaluation of Droplet Digital PCR for the Detection of BRAF V600E in Fine-Needle Aspiration Specimens of Thyroid Nodules. 评估用于检测甲状腺结节细针抽吸标本中 BRAF V600E 的液滴数字 PCR。

IF 4 2区医学

Annals of Laboratory Medicine Pub Date : 2024-11-01 Epub Date: 2024-06-14 DOI: 10.3343/alm.2023.0405

Young Kyu Min, Jae Kyung Kim, Kyung Sun Park, Jong-Won Kim

{"title":"Evaluation of Droplet Digital PCR for the Detection of BRAF V600E in Fine-Needle Aspiration Specimens of Thyroid Nodules.","authors":"Young Kyu Min, Jae Kyung Kim, Kyung Sun Park, Jong-Won Kim","doi":"10.3343/alm.2023.0405","DOIUrl":"10.3343/alm.2023.0405","url":null,"abstract":"Background: Droplet digital (dd)PCR is a new-generation PCR technique with high precision and sensitivity; however, the positive and negative droplets are not always effectively separated because of the \"rain\" phenomenon. We aimed to develop a practical optimization and evaluation process for the ddPCR assay and to apply it to the detection of BRAF V600E in fine-needle aspiration (FNA) specimens of thyroid nodules, as an example.Methods: We optimized seven ddPCR parameters that can affect \"rain.\" Analytical and clinical performance were analyzed based on histological diagnosis after thyroidectomy using a consecutive prospective series of 242 FNA specimens.Results: The annealing time and temperature, number of PCR cycles, and primer and probe concentrations were found to be more important considerations for assay optimization than the denaturation time and ramp rate. The limit of blank and 95% limit of detection were 0% and 0.027%, respectively. The sensitivity of ddPCR for histological papillary thyroid carcinoma (PTC) was 82.4% (95% confidence interval [CI], 73.6%-89.2%). The pooled sensitivity of BRAF V600E in FNA specimens for histological PTC was 78.6% (95% CI, 75.9%-81.2%, I2=60.6%).Conclusions: We present a practical approach for optimizing ddPCR parameters that affect the separation of positive and negative droplets to reduce rain. Our approach to optimizing ddPCR parameters can be expanded to general ddPCR assays for specific mutations in clinical laboratories. The highly sensitive ddPCR can compensate for uncertainty in cytological diagnosis by detecting low levels of BRAF V600E.","PeriodicalId":8421,"journal":{"name":"Annals of Laboratory Medicine","volume":" ","pages":"553-561"},"PeriodicalIF":4.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11375207/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141316683","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Laboratory Preparation for Digital Medicine in Healthcare 4.0: An Investigation Into the Awareness and Applications of Big Data and Artificial Intelligence. 医疗保健 4.0 中数字医学的实验室准备工作：对大数据和人工智能的认识与应用的调查。

IF 4 2区医学

Annals of Laboratory Medicine Pub Date : 2024-11-01 Epub Date: 2024-07-02 DOI: 10.3343/alm.2024.0111

Shinae Yu, Byung Ryul Jeon, Changseung Liu, Dokyun Kim, Hae-Il Park, Hyung Doo Park, Jeong Hwan Shin, Jun Hyung Lee, Qute Choi, Sollip Kim, Yeo Min Yun, Eun-Jung Cho

{"title":"Laboratory Preparation for Digital Medicine in Healthcare 4.0: An Investigation Into the Awareness and Applications of Big Data and Artificial Intelligence.","authors":"Shinae Yu, Byung Ryul Jeon, Changseung Liu, Dokyun Kim, Hae-Il Park, Hyung Doo Park, Jeong Hwan Shin, Jun Hyung Lee, Qute Choi, Sollip Kim, Yeo Min Yun, Eun-Jung Cho","doi":"10.3343/alm.2024.0111","DOIUrl":"10.3343/alm.2024.0111","url":null,"abstract":"Background: Healthcare 4.0. refers to the integration of advanced technologies, such as artificial intelligence (AI) and big data analysis, into the healthcare sector. Recognizing the impact of Healthcare 4.0 technologies in laboratory medicine (LM), we seek to assess the overall awareness and implementation of Healthcare 4.0 among members of the Korean Society for Laboratory Medicine (KSLM).Methods: A web-based survey was conducted using an anonymous questionnaire. The survey comprised 36 questions covering demographic information (seven questions), big data (10 questions), and AI (19 questions).Results: In total, 182 (17.9%) of 1,017 KSLM members participated in the survey. Thirty-two percent of respondents considered AI to be the most important technology in LM in the era of Healthcare 4.0, closely followed by 31% who favored big data. Approximately 80% of respondents were familiar with big data but had not conducted research using it, and 71% were willing to participate in future big data research conducted by the KSLM. Respondents viewed AI as the most valuable tool in molecular genetics within various divisions. More than half of the respondents were open to the notion of using AI as assistance rather than a complete replacement for their roles.Conclusions: This survey highlighted KSLM members' awareness of the potential applications and implications of big data and AI. We emphasize the complexity of AI integration in healthcare, citing technical and ethical challenges leading to diverse opinions on its impact on employment and training. This highlights the need for a holistic approach to adopting new technologies.","PeriodicalId":8421,"journal":{"name":"Annals of Laboratory Medicine","volume":" ","pages":"562-571"},"PeriodicalIF":4.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11375187/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141475829","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Limited Contribution of Creatine Kinase-Myocardial Band Alongside High-Sensitivity Cardiac Troponin in Diagnosing Acute Myocardial Infarction in an Emergency Department. 在急诊科诊断急性心肌梗死时，肌酸激酶-心肌带与高敏心肌肌钙蛋白的作用有限。

IF 4 2区医学

Annals of Laboratory Medicine Pub Date : 2024-11-01 Epub Date: 2024-06-24 DOI: 10.3343/alm.2024.0083

Hyeyoung Lee, Hyunhye Kang, Hyojin Chae, Eun-Jee Oh

{"title":"Limited Contribution of Creatine Kinase-Myocardial Band Alongside High-Sensitivity Cardiac Troponin in Diagnosing Acute Myocardial Infarction in an Emergency Department.","authors":"Hyeyoung Lee, Hyunhye Kang, Hyojin Chae, Eun-Jee Oh","doi":"10.3343/alm.2024.0083","DOIUrl":"10.3343/alm.2024.0083","url":null,"abstract":"Cardiac biomarkers, especially high-sensitivity cardiac troponin C or I (hs-cTnC or hs-cTnI, respectively), are vital for diagnosing acute myocardial infarction (AMI). Despite the specificity of hs-cTn as a biomarker, the creatine kinase-myocardial band (CK-MB) is commonly used alongside hs-cTn in emergency departments (EDs). We analyzed 23,771 simultaneous hs-cTn (hs-cTnT or hs-cTnI) and CK-MB requests for 17,185 patients in tertiary hospital ED in 2022. The objective of this study was to assess their practical value in diagnosing AMI in real-world settings. Among all 17,185 patients tested, 98.0% underwent hs-cTnT and CK-MB tests, and substantially fewer underwent hs-cTnI testing. We observed concordance between the initial hs-cTn and CK-MB results in 71.3% of patients. Of 131 AMI cases, 57 were positive for both biomarkers, 63 for hs-cTn only, and none for CK-MB alone. CK-MB positivity was often found in the absence of AMI. Discrepancies between the hs-cTnT and hs-cTnI results occurred in 30.0% of patients. Indiscriminate CK-MB testing for diagnosing AMI in EDs should be reconsidered. Efficient use of CK-MB is important for reducing costs and ensuring optimal patient care.","PeriodicalId":8421,"journal":{"name":"Annals of Laboratory Medicine","volume":" ","pages":"586-590"},"PeriodicalIF":4.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11375203/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141442033","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Aberrant Splicing in PKD2 in a Family of Korean Patients With Autosomal Dominant Polycystic Kidney Disease. 一个韩国常染色体显性多囊肾家族中 PKD2 的剪接异常

IF 4 2区医学

Annals of Laboratory Medicine Pub Date : 2024-11-01 Epub Date: 2024-08-22 DOI: 10.3343/alm.2024.0221

Soo-Young Yoon, Jin Sug Kim, Kyung Sun Park

引用次数: 0

Quantitative Evaluation of the Real-World Harmonization Status of Laboratory Test Items Using External Quality Assessment Data. 利用外部质量评估数据对实验室检验项目的实际协调状况进行定量评估。

IF 4 2区医学

Annals of Laboratory Medicine Pub Date : 2024-11-01 Epub Date: 2024-06-26 DOI: 10.3343/alm.2024.0082

Sollip Kim, Tae-Dong Jeong, Kyunghoon Lee, Jae-Woo Chung, Eun-Jung Cho, Seunghoo Lee, Sail Chun, Junghan Song, Won-Ki Min

{"title":"Quantitative Evaluation of the Real-World Harmonization Status of Laboratory Test Items Using External Quality Assessment Data.","authors":"Sollip Kim, Tae-Dong Jeong, Kyunghoon Lee, Jae-Woo Chung, Eun-Jung Cho, Seunghoo Lee, Sail Chun, Junghan Song, Won-Ki Min","doi":"10.3343/alm.2024.0082","DOIUrl":"10.3343/alm.2024.0082","url":null,"abstract":"Background: In recent decades, the analytical quality of clinical laboratory results has substantially increased because of collaborative efforts. To effectively utilize laboratory results in applications, such as machine learning through big data, understanding the level of harmonization for each test would be beneficial. We aimed to develop a quantitative harmonization index that reflects the harmonization status of real-world laboratory tests.Methods: We collected 2021-2022 external quality assessment (EQA) results for eight tests (HbA1c, creatinine, total cholesterol, HDL-cholesterol, triglyceride, alpha-fetoprotein [AFP], carcinoembryonic antigen [CEA], and prostate-specific antigen [PSA]). This EQA was conducted by the Korean Association of External Quality Assessment Service, using commutable materials. The total analytical error of each test was determined according to the bias% and CV% within peer groups. The values were divided by the total allowable error from biological variation (minimum, desirable, and optimal) to establish a real-world harmonization index (RWHI) at each level (minimum, desirable, and optimal). Good harmonization was arbitrarily defined as an RWHI value ≤ 1 for the three levels.Results: Total cholesterol, triglyceride, and CEA had an optimal RWHI of ≤ 1, indicating an optimal harmonization level. Tests with a desirable harmonization level included HDL-cholesterol, AFP, and PSA. Creatinine had a minimum harmonization level, and HbA1c did not reach the minimum harmonization level.Conclusions: We developed a quantitative RWHI using regional EQA data. This index may help reflect the actual harmonization level of laboratory tests in the field.","PeriodicalId":8421,"journal":{"name":"Annals of Laboratory Medicine","volume":" ","pages":"529-536"},"PeriodicalIF":4.0,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11375196/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141449472","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Laboratory Data as a Potential Source of Bias in Healthcare Artificial Intelligence and Machine Learning Models. 实验室数据是医疗人工智能和机器学习模型偏差的潜在来源。

IF 4.9 2区医学

Annals of Laboratory Medicine Pub Date : 2024-10-24 DOI: 10.3343/alm.2024.0323

Hung S Luu

{"title":"Laboratory Data as a Potential Source of Bias in Healthcare Artificial Intelligence and Machine Learning Models.","authors":"Hung S Luu","doi":"10.3343/alm.2024.0323","DOIUrl":"https://doi.org/10.3343/alm.2024.0323","url":null,"abstract":"Artificial intelligence (AI) and machine learning (ML) are anticipated to transform the practice of medicine. As one of the largest sources of digital data in healthcare, laboratory results can strongly influence AI and ML algorithms that require large sets of healthcare data for training. Embedded bias introduced into AI and ML models not only has disastrous consequences for quality of care but also may perpetuate and exacerbate health disparities. The lack of test harmonization, which is defined as the ability to produce comparable results and the same interpretation irrespective of the method or instrument platform used to produce the result, may introduce aggregation bias into algorithms with potential adverse outcomes for patients. Limited interoperability of laboratory results at the technical, syntactic, semantic, and organizational levels is a source of embedded bias that limits the accuracy and generalizability of algorithmic models. Population-specific issues, such as inadequate representation in clinical trials and inaccurate race attribution, not only affect the interpretation of laboratory results but also may perpetuate erroneous conclusions based on AI and ML models in the healthcare literature.","PeriodicalId":8421,"journal":{"name":"Annals of Laboratory Medicine","volume":"2 1","pages":""},"PeriodicalIF":4.9,"publicationDate":"2024-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142489735","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0