Diagnostics最新文献

{"title":"Large-Cell Neuroendocrine Carcinoma of the Cervix: Case Report and Literature Review.","authors":"Wing Yu Sharon Siu, Chiu-Hsuan Cheng, Dah-Ching Ding","doi":"10.3390/diagnostics15060775","DOIUrl":"10.3390/diagnostics15060775","url":null,"abstract":"<p><p><b>Background and clinical significance</b>: Large-cell neuroendocrine carcinoma (LCNEC) of the cervix is considered a rare type of cancer: it represents <1% of invasive cervical cancers. The optimal treatment protocol is not fully established because of its rarity and diagnostic challenges. <b>Case Presentation</b>: A 72-year-old Asian female presented to our outpatient clinic with postmenopausal vaginal spotting for 1 month. Vaginal sonography revealed a cervical tumor of 2.7 cm in diameter with hypervascularity. Tumor markers such as CA 125, CA 19-9, carcinoembryonic antigen, and squamous cell carcinoma antigen all showed no abnormality. Due to high suspicion of cervical cancer, a pap smear and endocervical curettage were performed and confirmed the diagnosis of LCNEC. A positron emission tomography-computed tomography scan demonstrated a glucose hypermetabolic lesion in the mid-pelvic region, localized to the uterus, consistent with LCNEC. Surgery with radical hysterectomy, bilateral salpingo-oophorectomy, and bilateral pelvic lymph node dissection was performed. The patient was finally diagnosed with pT1b2N1mi, FIGO IIIC1. Immunohistochemical stain shows that the neoplastic cells were CK (+), p63 (-), p16 (-), CEA (-), vimentin (-), ER (-), WT-1 (-), p53 (-), and CD56 (+), with a high Ki67 index (75%). Concurrent chemotherapy with cisplatin and radiotherapy was performed. Four cycles of etoposide and cisplatin were planned. A 3-month follow-up of this patient revealed stable tumor marker levels. <b>Conclusions</b>: This case highlights the diagnostic challenges and aggressive nature of LCNEC of the cervix, emphasizing the need for a standardized treatment approach to improve patient outcomes.</p>","PeriodicalId":11225,"journal":{"name":"Diagnostics","volume":"15 6","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11941041/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143729143","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Silent Threat: Internal Carotid Artery Hypoplasia and Its Role in Basilar Artery Aneurysm Formation-A Case Study.","authors":"Paula Mežvinska, Artis Brokāns, Sergejs Pavlovičs, Matīss Dravnieks, Ardis Platkājis, Arturs Balodis","doi":"10.3390/diagnostics15060774","DOIUrl":"10.3390/diagnostics15060774","url":null,"abstract":"<p><p><b>Background and Clinical Significance:</b> Hypoplasia of the internal carotid artery (ICA) is a rare vascular anomaly, with an estimated incidence of less than 0.01%. This condition can result in reduced blood flow to the anterior circulation, often compensated by collateral circulation. Radiological imaging, particularly computed tomography angiography (CTA), digital subtraction angiography (DSA), magnetic resonance angiography (MRA), and ultrasound, plays a crucial role in diagnosing this condition, revealing structural abnormalities in the arterial system. <b>Case Presentation:</b> This case is about a 75-year-old woman who lived her entire life unaware of ICAH until a basilar artery aneurysm ruptured, leading to a large, centrally localized SAH. Further diagnostic workup, including CTA and DSA, confirmed left ICA hypoplasia, with the artery terminating as the ophthalmic artery, along with a developmental anomaly of the left middle cerebral artery from posterior circulation territory. Due to the high risk associated with surgical and endovascular intervention, conservative management was pursued, and the patient's condition stabilized, though she continued to have significant neurological deficits. <b>Conclusions:</b> This case report supports the hypothesis that ICAH may be associated with aneurysm formation. This case demonstrates that if ICAH is not diagnosed early, it can lead to severe complications with permanent neurological deficits. Additionally, it highlights the critical importance of advanced imaging techniques, such as CTA and DSA, in diagnosing complex vascular conditions.</p>","PeriodicalId":11225,"journal":{"name":"Diagnostics","volume":"15 6","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11941513/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143729154","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correlation Between Condylar Shape and Malocclusion: CBCT Analysis.","authors":"Neamat Hassan Abubakr, Tanya Al-Talib, Nastaran Bahar, Arshia Badani, Stanely Nelson, Jyoti Mago","doi":"10.3390/diagnostics15060768","DOIUrl":"10.3390/diagnostics15060768","url":null,"abstract":"<p><p><b>Background/Objectives:</b> This study introduces a novel classification system using cone-beam computed tomography (CBCT) to assess condylar morphology and its correlation with different skeletal classifications. <b>Methods:</b> A retrospective CBCT analysis of 288 subjects evaluated condylar shape, flattening at the medial and lateral poles, and the presence of degenerative changes. Statistical analyses identified significant associations. <b>Results:</b> Class II skeletal malocclusion was the most prevalent (63.5% females and 36.4% males). Females exhibited a significantly higher prevalence of degenerative changes (<i>p</i> < 0.001), with notable lateral pole flattening. The most common condylar morphology was convex (52.43% left and 51% right), followed by angled, round, and flat. Degenerative changes were more frequent on the left side, particularly in Class II Division 1 cases (37%). <b>Conclusions:</b> This classification system enhances temporomandibular joint (TMJ) evaluation in orthodontic diagnosis and treatment planning, allowing for the early detection of morphological changes to optimize patient care.</p>","PeriodicalId":11225,"journal":{"name":"Diagnostics","volume":"15 6","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11941284/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143729092","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comprehensive Analysis of the Aberrant Right Subclavian Artery: A Perspective from a Single Institute.","authors":"Rou Jiun Lin, Kim-Seng Law, Pei-Jhen Wu","doi":"10.3390/diagnostics15060772","DOIUrl":"10.3390/diagnostics15060772","url":null,"abstract":"<p><p><b>Background/Objectives</b>: This study aimed to provide a descriptive review of fetal aberrant right subclavian artery (ARSA), with a discussion of the genomic and structural anatomy and perinatal prognosis in our hospital's obstetric department. <b>Methods</b>: In total, 3266 fetal level II sonographies were performed between January 2020 and June 2023. The 21 cases diagnosed with ARSA were included in this study. Obstetric ultrasound screening, noninvasive prenatal screening, and fetal karyotyping were performed. Fetal echocardiograms, postnatal information, and follow-up data were recorded. <b>Results</b>: In our dataset of 3266 cases, the overall incidence rate of ARSA was 0.6%. Of the 21 fetuses with ARSA, no abnormalities were detected in either prenatal or genetic tests, and no chromosomal anomalies were identified. <b>Conclusions</b>: Our study provides informative insights into ARSA, emphasizing the need for a comprehensive evaluation of its structural and genetic aspects. The findings of this study prompt further exploration, especially regarding the increasing incidence of ARSA and the potential role of advanced genetic analyses in enhancing diagnostic precision and fetal prognostic evaluation.</p>","PeriodicalId":11225,"journal":{"name":"Diagnostics","volume":"15 6","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11941208/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143729074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Role of Autopsy in Diagnosing Fatal Chest Injuries in Road Traffic Accidents: A Literature Review.","authors":"Matteo Antonio Sacco, Maria Cristina Verrina, Saverio Gualtieri, Agostinho Santos, Bárbara Ferreira Mendes, Alessandro Pasquale Tarallo, Aurora Princi, Stefano Lombardo, Pietrantonio Ricci, Isabella Aquila","doi":"10.3390/diagnostics15060778","DOIUrl":"10.3390/diagnostics15060778","url":null,"abstract":"<p><p>Road accidents are one of the leading causes of death worldwide, with significant repercussions on public health and the global economy. Fatal accidents can cause injuries in various anatomical areas with different dynamics. The thorax is one of the main sites involved in fatal accidents, due to the presence of vital organs such as the heart and lungs. Protective devices, such as seatbelts and airbags, also play a fundamental role in preventing chest injuries. However, external examination is often insufficient to determine the extent of internal trauma, resulting in significant difficulties in reconstructing the accident dynamics. In particular, in the absence of an autopsy, it is difficult to determine whether the driver or passengers were wearing protective devices, such as seatbelts, at the time of the accident. Diagnosing injuries secondary to protective devices, such as airbags, can also be complex without this assessment. Through a review of the literature, this work analyzes the different types of thoracic trauma that can be found at autopsy, providing indications to the forensic pathologist for the examination of these injuries. This review highlights the importance of the autopsy examination as a gold-standard investigation in the analysis of thoracic trauma from road accidents, in order to evaluate with certainty the injuries that caused death, and to facilitate the reconstruction of the dynamics for judicial purposes. Finally, an analysis of postmortem radiological investigations and of the role of protective measures in these events, such as the seatbelt and airbag, is provided.</p>","PeriodicalId":11225,"journal":{"name":"Diagnostics","volume":"15 6","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11940957/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143728800","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Deep Learning Models to Detect Anterior Cruciate Ligament Injury on MRI: A Comprehensive Review.","authors":"Michele Mercurio, Federica Denami, Dimitra Melissaridou, Katia Corona, Simone Cerciello, Domenico Laganà, Giorgio Gasparini, Roberto Minici","doi":"10.3390/diagnostics15060776","DOIUrl":"10.3390/diagnostics15060776","url":null,"abstract":"<p><p>Magnetic resonance imaging (MRI) is routinely used to confirm the suspected diagnosis of anterior cruciate ligament (ACL) injury. Recently, many studies explored the role of artificial intelligence (AI) and deep learning (DL), a sub-category of AI, in the musculoskeletal field and medical imaging. The aim of this study was to review the current applications of DL models to detect ACL injury on MRI, thus providing an updated and critical synthesis of the existing literature and identifying emerging trends and challenges in the field. A total of 23 relevant articles were identified and included in the review. Articles originated from 10 countries, with China having the most contributions (<i>n</i> = 9), followed by the United State of America (<i>n</i> = 4). Throughout the article, we analyzed the concept of DL in ACL tears and provided examples of how these tools can impact clinical practice and patient care. DL models for MRI detection of ACL injury reported high values of accuracy, especially helpful for less experienced clinicians. Time efficiency was also demonstrated. Overall, the deep learning models have proven to be a valid resource, although still requiring technological developments for implementation in daily practice.</p>","PeriodicalId":11225,"journal":{"name":"Diagnostics","volume":"15 6","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11941175/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143729158","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ultrasound Screening in the First and Second Trimester of Pregnancy for the Detection of Fetal Cardiac Anomalies in a Low-Risk Population.","authors":"Aura Iuliana Popa, Nicolae Cernea, Marius Cristian Marinaș, Maria Cristina Comănescu, Ovidiu Costinel Sîrbu, Dragoș George Popa, Larisa Pătru, Vlad Pădureanu, Ciprian Laurențiu Pătru","doi":"10.3390/diagnostics15060769","DOIUrl":"10.3390/diagnostics15060769","url":null,"abstract":"<p><p><b>Background/Objectives:</b> Congenital heart disease (CHD) is the most common birth defect, an important cause of morbidity and mortality, with a reported prevalence of 5-12 per 1000 live births. The aim of our study was to identify the role of fetal morphological ultrasound examination in the first and second trimester of pregnancy in the detection of fetal congenital cardiac anomalies in a low-risk population. <b>Methods:</b> We performed a retrospective study in a tertiary fetal medicine center in Emergency Hospital Craiova, Romania. The longitudinal analysis combined first- and second-trimester screening using improved ultrasound protocols. Our study evaluated 8944 pregnant women with singleton pregnancies in a 6-year period between January 2018 and December 2023. All ultrasound examinations were performed using a standard extended protocol according to the main guidelines' recommendations for the detection of fetal anomalies. <b>Results:</b> In the first trimester of pregnancy, 37 cases with cardiac anomalies were diagnosed. Thirteen of these cases were associated with genetic anomalies (Down syndrome-eight cases, Edwards syndrome-four cases, Turner syndrome-one case). Some of these pregnancies were associated with at least one of the minor ultrasound markers (inverted ductus venosus, abnormal flow in the tricuspid valve, presence of choroid plexus cysts, absent/hypoplastic nasal bone). In the second trimester of pregnancy, 17 cases of cardiac anomalies were diagnosed. From these cases, one was associated with genetic anomalies (DiGeorge Syndrome), and one case developed hydrops and delivered prematurely in the early third trimester. <b>Conclusions</b>: Ultrasound screening for the detection of congenital heart disease is feasible early in pregnancy, but some anomalies would be obvious later in pregnancy. An early diagnosis using an extended ultrasound protocol, genetic testing, and a multidisciplinary evaluation would improve the prognosis and the overall survival rate by delivering in a tertiary center that allows for rapid cardiac surgery in dedicated cases.</p>","PeriodicalId":11225,"journal":{"name":"Diagnostics","volume":"15 6","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11941630/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143729219","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An Ensemble Patient Graph Framework for Predictive Modelling from Electronic Health Records and Medical Notes.","authors":"S Daphne, V Mary Anita Rajam, P Hemanth, Sundarrajan Dinesh","doi":"10.3390/diagnostics15060756","DOIUrl":"10.3390/diagnostics15060756","url":null,"abstract":"<p><p><b>Objective:</b> Electronic health records (EHRs) are becoming increasingly important in both academic research and business applications. Recent studies indicate that predictive tasks, such as heart failure detection, perform better when the geometric structure of EHR data, including the relationships between diagnoses and treatments, is considered. However, many EHRs lack essential structural information. This study aims to improve predictive accuracy in healthcare by constructing a Patient Knowledge Graph Ensemble Framework (PKGNN) to analyse ICU patient cohorts and predict mortality and hospital readmission outcomes. <b>Methods:</b> This study utilises a cohort of 42,671 patients from the MIMIC-IV dataset to build the PKGNN framework, which consists of three main components: (1) medical note extraction, (2) patient graph construction, and (3) prediction tasks. Advanced Natural Language Processing (NLP) models, including Clinical BERT, BioBERT, and BlueBERT, extract and integrate semantic representations from discharge summaries into a patient knowledge graph. This structured representation is then used to enhance predictive tasks. <b>Results:</b> Performance evaluations on the MIMIC-IV dataset indicate that the PKGNN framework outperforms state-of-the-art baseline models in predicting mortality and 30-day hospital readmission. A thorough framework analysis reveals that incorporating patient graph structures improves prediction accuracy. Furthermore, an ensemble model enhances risk prediction performance and identifies crucial clinical indicators. <b>Conclusions:</b> This study highlights the importance of leveraging structured knowledge graphs in EHR analysis to improve predictive modelling for critical healthcare outcomes. The PKGNN framework enhances the accuracy of mortality and readmission predictions by integrating advanced NLP techniques with patient graph structures. This work contributes to the literature by advancing knowledge graph-based EHR analysis strategies, ultimately supporting better clinical decision-making and risk assessment.</p>","PeriodicalId":11225,"journal":{"name":"Diagnostics","volume":"15 6","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11941089/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143729167","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Spontaneously Opening and Closing Macular Holes with Lamellar Hole Epiretinal Proliferation: A Longitudinal Optical Coherence Tomography Analysis.","authors":"Omar Moussa, Jedrzej Golebka, Gabriel Gomide, Dvir Koenigstein, Hueyjong Shih, Royce W S Chen","doi":"10.3390/diagnostics15060759","DOIUrl":"10.3390/diagnostics15060759","url":null,"abstract":"<p><p><b>Background/Objectives</b>: Spontaneous macular hole closure is a rare phenomenon, with lamellar hole epiretinal proliferation (LHEP) frequently implicated as a potential mechanism. This study aims to analyze the presence of LHEP in patients with full-thickness macular holes (FTMHs) or lamellar macular holes (LMHs) that closed spontaneously without intervention. <b>Methods</b>: A retrospective longitudinal analysis of optical coherence tomography (OCT) scans was conducted for 73 patients diagnosed with FTMH or LMH in a single institution. Patients with documented spontaneous hole closure were further analyzed for the presence of LHEP, other OCT findings, and clinical characteristics. <b>Results</b>: Of the 73 patients, eight (11%) exhibited spontaneous closure of their macular holes. LHEP was identified in all cases, regardless of hole type (FTMH or LMH). Associated OCT features on diagnosis included VMT in one eye (13%), partial or complete posterior vitreous detachment in seven eyes (88%) and epiretinal membrane in eight eyes (100%). During hole closure, an outer nuclear layer bridge was noted in six eyes (75%). Various extents of outer retinal recovery were noted following closure. After closure, five holes (63%) remained closed without further intervention, while three (38%) reopened and required surgical intervention. <b>Conclusions</b>: Spontaneous macular hole closure is strongly associated with the presence of LHEP, highlighting its potential role in retinal repair mechanisms. While in most patients the spontaneous closure is permanent, surgical intervention may be necessary in cases of hole recurrence.</p>","PeriodicalId":11225,"journal":{"name":"Diagnostics","volume":"15 6","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11941576/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143729238","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Electroencephalography-Based Neuroinflammation Diagnosis and Its Role in Learning Disabilities.","authors":"Günet Eroğlu","doi":"10.3390/diagnostics15060764","DOIUrl":"10.3390/diagnostics15060764","url":null,"abstract":"<p><p><b>Background/Objectives:</b> Learning disabilities (LDs) are complex neurodevelopmental conditions influenced by genetic, epigenetic, and environmental factors. Recent research suggests that maternal autoimmune conditions, perinatal stress, and vitamin D deficiency may contribute to neuroinflammation, which, in turn, can disrupt brain development. Chronic neuroinflammation, driven by activated microglia and astrocytes, has been associated with synaptic dysfunction and cognitive impairment, potentially impacting learning and memory processes. This study aims to explore the relationship between neuroinflammation and LDs, emphasizing the role of electroencephalography (EEG) biomarkers in early diagnosis and intervention. <b>Methods:</b> A systematic analysis was conducted to examine the prevalence, core symptoms, and typical age of diagnosis of LDs. EEG biomarkers, particularly theta, gamma, and alpha power, were assessed as indicators of neuroinflammatory states. Additionally, artificial neural networks (ANNs) were employed to classify EEG patterns associated with LDs, evaluating their diagnostic accuracy. <b>Results:</b> Findings indicate that EEG biomarkers can serve as potential indicators of neuroinflammatory patterns in children with LDs. ANNs demonstrated high classification accuracy in distinguishing EEG signatures related to LDs, highlighting their potential as a diagnostic tool. <b>Conclusions:</b> EEG-based biomarkers, combined with machine learning approaches, offer a non-invasive and precise method for detecting neuroinflammatory patterns associated with LDs. This integrative approach advances precision medicine by enabling early diagnosis and targeted interventions for neurodevelopmental disorders. Further research is required to validate these findings and establish standardized diagnostic protocols.</p>","PeriodicalId":11225,"journal":{"name":"Diagnostics","volume":"15 6","pages":""},"PeriodicalIF":3.0,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11941338/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143729288","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}