Diagnostics (Basel, Switzerland)最新文献

B-Lines Lung Ultrasonography Simulation Using Finite Element Method. 有限元法肺b线超声模拟。

IF 3.6

Diagnostics (Basel, Switzerland) Pub Date : 2022-11-10 DOI: 10.3390/diagnostics12112751

Fellipe Allevato Martins da Silva, Eduardo Moreno, Wagner Coelho de Albuquerque Pereira

{"title":"B-Lines Lung Ultrasonography Simulation Using Finite Element Method.","authors":"Fellipe Allevato Martins da Silva, Eduardo Moreno, Wagner Coelho de Albuquerque Pereira","doi":"10.3390/diagnostics12112751","DOIUrl":"https://doi.org/10.3390/diagnostics12112751","url":null,"abstract":"Introduction: Lung Ultrasonography (LUS) is a fast technique for the diagnosis of patients with respiratory syndromes. B-lines are seen in response to signal reverberations and amplifications into sites with peripheral lung fluid concentration or septal thickening. Mathematical models are commonly applied in biomedicine to predict biological responses to specific signal parameters.Objective: This study proposes a Finite-Element numerical model to simulate radio frequency ultrasonic lines propagated from normal and infiltrated lung structures. For tissue medium, a randomized inhomogeneous data method was used. The simulation implemented in COMSOL® used Acoustic Pressure and Time-Explicit models, which are based on the discontinuous Galerkin method (dG).Results: The RF signals, processed in MATLAB®, resulted in images of horizontal A-lines and vertical B-lines, which were reasonably similar to real images.Discussion: The use of inhomogeneous materials in the model was good enough to simulate the scattering response, similar to others in the literature. The model is useful to study the impact of the lung infiltration characteristics on the appearance of LUS images.","PeriodicalId":520604,"journal":{"name":"Diagnostics (Basel, Switzerland)","volume":" ","pages":""},"PeriodicalIF":3.6,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689043/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40677514","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Middle-Inner Macular Layers Dysfunction in a Case of Stellate Foveomacular Retinoschisis Detected by Abnormal Multifocal Photopic Negative Response Recordings. 星形中央黄斑视网膜裂中、内黄斑层功能障碍1例。

IF 3.6

Diagnostics (Basel, Switzerland) Pub Date : 2022-11-10 DOI: 10.3390/diagnostics12112753

Lucilla Barbano, Giulio Antonelli, Mariacristina Parravano, Eliana Costanzo, Vincenzo Parisi, Lucia Ziccardi

{"title":"Middle-Inner Macular Layers Dysfunction in a Case of Stellate Foveomacular Retinoschisis Detected by Abnormal Multifocal Photopic Negative Response Recordings.","authors":"Lucilla Barbano, Giulio Antonelli, Mariacristina Parravano, Eliana Costanzo, Vincenzo Parisi, Lucia Ziccardi","doi":"10.3390/diagnostics12112753","DOIUrl":"https://doi.org/10.3390/diagnostics12112753","url":null,"abstract":"We describe the macular morpho-functional assessment of a 65-year-old man affected by stellate nonhereditary idiopathic foveomacular retinoschisis (SNIFR), studied by visual field, SD-OCT, autofluorescence, full-field electroretinogram (ffERG), multifocal electroretinogram (mfERG) and multifocal Photopic Negative Response (mfPhNR) recordings. The typical presentation consists of the foveal appearance of radial cartwheel pattern for the splitting of the retinal layers at the level of the Henle fiber layer (HFL) and the outer plexiform layer (OPL), perfectly seen by Spectral Domain-Optical Coherence Tomography (SD-OCT). Despite a normal function of the outer retina of the peripheral and central retina evaluated by ffERG and mfERG respectively, we observed a reduced function of the retinal elements involved in the retinoschisis by recording mfPhNR that assesses mainly inner retina function (retinal ganglion cells and their axons). Therefore, it is likely that the observed impaired mfPhNR responses reflect the signaling defects derived from the delaminated middle retina and transmitted to the innermost retinal layers.","PeriodicalId":520604,"journal":{"name":"Diagnostics (Basel, Switzerland)","volume":" ","pages":""},"PeriodicalIF":3.6,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689507/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40677515","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Assessment of a Commercial Real-Time PCR Assay (Vitassay qPCR Malaria 5 Test) to Detect Human Malaria Infection in Travelers Returning to France. 商业实时荧光定量PCR检测(Vitassay qPCR Malaria 5 Test)检测返回法国的旅行者感染疟疾的评估

IF 3.6

Diagnostics (Basel, Switzerland) Pub Date : 2022-11-10 DOI: 10.3390/diagnostics12112747

Marylin Madamet, Rémy Amalvict, Nicolas Benoit, French National Reference Centre For Imported Malaria Study Group, Bruno Pradines

{"title":"Assessment of a Commercial Real-Time PCR Assay (Vitassay qPCR Malaria 5 Test) to Detect Human Malaria Infection in Travelers Returning to France.","authors":"Marylin Madamet, Rémy Amalvict, Nicolas Benoit, French National Reference Centre For Imported Malaria Study Group, Bruno Pradines","doi":"10.3390/diagnostics12112747","DOIUrl":"https://doi.org/10.3390/diagnostics12112747","url":null,"abstract":"Malaria is the most common human parasitic disease in the world with the highest morbidity and mortality. Due to the severity of malaria caused by Plasmodium falciparum and the urgency of therapeutic management, quick and reliable diagnosis is required for early detection. Blood smear microscopy remains the gold standard for malaria diagnosis. Molecular diagnosis techniques are the most sensitive and specific in cases of low parasitaemia and in the detection of mixed infections. The purpose of this study was to evaluate a new commercial test involving the molecular diagnostic technique to detect the five human Plasmodium species. The Vitassay qPCR Malaria 5 test is based on the multiplex real-time PCR of a conserved target region of the 18S rRNA gene for the five human Plasmodium species. A total of 190 samples collected from imported cases of malaria were diagnosed using this test and compared against a homemade reference real-time PCR. The sensitivities of the Vitassay qPCR Malaria 5 test for all Plasmodium species ranged from 93.8% to 100% and specificity ranged from 97.7% to 100%. Based on these criteria, this test is recommended for the diagnosis of the human Plasmodium species.","PeriodicalId":520604,"journal":{"name":"Diagnostics (Basel, Switzerland)","volume":" ","pages":""},"PeriodicalIF":3.6,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689139/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40677510","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Mathematical Framework for Wearable Devices in the Internet of Things Using Deep Learning. 基于深度学习的物联网可穿戴设备数学框架

IF 3.6

Diagnostics (Basel, Switzerland) Pub Date : 2022-11-10 DOI: 10.3390/diagnostics12112750

Olfat M Mirza, Hana Mujlid, Hariprasath Manoharan, Shitharth Selvarajan, Gautam Srivastava, Muhammad Attique Khan

{"title":"Mathematical Framework for Wearable Devices in the Internet of Things Using Deep Learning.","authors":"Olfat M Mirza, Hana Mujlid, Hariprasath Manoharan, Shitharth Selvarajan, Gautam Srivastava, Muhammad Attique Khan","doi":"10.3390/diagnostics12112750","DOIUrl":"https://doi.org/10.3390/diagnostics12112750","url":null,"abstract":"To avoid dire situations, the medical sector must develop various methods for quickly and accurately identifying infections in remote regions. The primary goal of the proposed work is to create a wearable device that uses the Internet of Things (IoT) to carry out several monitoring tasks. To decrease the amount of communication loss as well as the amount of time required to wait before detection and improve detection quality, the designed wearable device is also operated with a multi-objective framework. Additionally, a design method for wearable IoT devices is established, utilizing distinct mathematical approaches to solve these objectives. As a result, the monitored parametric values are saved in a different IoT application platform. Since the proposed study focuses on a multi-objective framework, state design and deep learning (DL) optimization techniques are combined, reducing the complexity of detection in wearable technology. Wearable devices with IoT processes have even been included in current methods. However, a solution cannot be duplicated using mathematical approaches and optimization strategies. Therefore, developed wearable gadgets can be applied to real-time medical applications for fast remote monitoring of an individual. Additionally, the proposed technique is tested in real-time, and an IoT simulation tool is utilized to track the compared experimental results under five different situations. In all of the case studies that were examined, the planned method performs better than the current state-of-the-art methods.","PeriodicalId":520604,"journal":{"name":"Diagnostics (Basel, Switzerland)","volume":" ","pages":""},"PeriodicalIF":3.6,"publicationDate":"2022-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689082/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40677512","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

The Omental Cake Sign in Pediatric Tuberculosis. 小儿结核的网膜饼征。

IF 3.6

Diagnostics (Basel, Switzerland) Pub Date : 2022-11-10 DOI: 10.3390/diagnostics12112754

Giulia Fichera, Francesco Causin, Diego Cecchin, Chiara Giraudo

引用次数: 0

Multi-Stage Temporal Convolution Network for COVID-19 Variant Classification. 基于多阶段时间卷积网络的COVID-19变异分类。

IF 3.6

Diagnostics (Basel, Switzerland) Pub Date : 2022-11-09 DOI: 10.3390/diagnostics12112736

Waseem Ullah, Amin Ullah, Khalid Mahmood Malik, Abdul Khader Jilani Saudagar, Muhammad Badruddin Khan, Mozaherul Hoque Abul Hasanat, Abdullah AlTameem, Mohammed AlKhathami

{"title":"Multi-Stage Temporal Convolution Network for COVID-19 Variant Classification.","authors":"Waseem Ullah, Amin Ullah, Khalid Mahmood Malik, Abdul Khader Jilani Saudagar, Muhammad Badruddin Khan, Mozaherul Hoque Abul Hasanat, Abdullah AlTameem, Mohammed AlKhathami","doi":"10.3390/diagnostics12112736","DOIUrl":"https://doi.org/10.3390/diagnostics12112736","url":null,"abstract":"The outbreak of the novel coronavirus disease COVID-19 (SARS-CoV-2) has developed into a global epidemic. Due to the pathogenic virus's high transmission rate, accurate identification and early prediction are required for subsequent therapy. Moreover, the virus's polymorphic nature allows it to evolve and adapt to various environments, making prediction difficult. However, other diseases, such as dengue, MERS-CoV, Ebola, SARS-CoV-1, and influenza, necessitate the employment of a predictor based on their genomic information. To alleviate the situation, we propose a deep learning-based mechanism for the classification of various SARS-CoV-2 virus variants, including the most recent, Omicron. Our model uses a neural network with a temporal convolution neural network to accurately identify different variants of COVID-19. The proposed model first encodes the sequences in the numerical descriptor, and then the convolution operation is applied for discriminative feature extraction from the encoded sequences. The sequential relations between the features are collected using a temporal convolution network to classify COVID-19 variants accurately. We collected recent data from the NCBI, on which the proposed method outperforms various baselines with a high margin.","PeriodicalId":520604,"journal":{"name":"Diagnostics (Basel, Switzerland)","volume":" ","pages":""},"PeriodicalIF":3.6,"publicationDate":"2022-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689740/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40460041","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Ultrasonography Assessment Based on Muscle Thickness and Echo Intensity in Post-Polio Patients. 基于脊髓灰质炎后患者肌肉厚度和回声强度的超声评估。

IF 3.6

Diagnostics (Basel, Switzerland) Pub Date : 2022-11-09 DOI: 10.3390/diagnostics12112743

Álvaro Mateos-Angulo, José Andrés Salazar-Agulló, Cristina Roldán-Jiménez, Manuel Trinidad-Fernández, Antonio Ignacio Cuesta-Vargas

{"title":"Ultrasonography Assessment Based on Muscle Thickness and Echo Intensity in Post-Polio Patients.","authors":"Álvaro Mateos-Angulo, José Andrés Salazar-Agulló, Cristina Roldán-Jiménez, Manuel Trinidad-Fernández, Antonio Ignacio Cuesta-Vargas","doi":"10.3390/diagnostics12112743","DOIUrl":"https://doi.org/10.3390/diagnostics12112743","url":null,"abstract":"There is nospecific designed diagnostic test for post-poliomyelitis syndrome. The most important symptoms of this syndrome are new loss of muscle strength and more fatigue. Previous studies have investigated muscle ultrasound parameters to distinguish neuromuscular disease patients from healthy controls. The aim of this study was to investigate if muscle thickness and echo intensity measured by ultrasound can discriminate post-poliomyelitis syndrome patients from healthy controls. A total of 29 post-polio patients and 27 healthy controls participated in this cross-sectional study. Anthropometric measures, muscle thickness, echo intensity using B-mode ultrasound in rectus femoris and biceps brachii muscles, and muscle strength test data were collected. Muscle thickness in rectus femoris was significantly lower in post-poliomyelitis patients than in healthy controls, but not in biceps brachii. Echo intensity in rectus femoris and biceps brachii was higher in post-poliomyelitis syndrome patients than in healthy controls. Correlations were found between muscle thickness and strength in the upper and lower limbs. The results of the present study showed that muscle thickness in rectus femoris and echo intensity in rectus femoris and biceps brachii can discriminate post-poliomyelitis syndrome patients from healthy controls. A better assessment is possible because it can observe differences and relevant parameters in this clinical population.","PeriodicalId":520604,"journal":{"name":"Diagnostics (Basel, Switzerland)","volume":" ","pages":""},"PeriodicalIF":3.6,"publicationDate":"2022-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689709/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40479763","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Nasal Mycology of Chronic Rhinosinusitis Revealed by Nanopore Sequencing. 纳米孔测序揭示慢性鼻窦炎的鼻部真菌学。

IF 3.6

Diagnostics (Basel, Switzerland) Pub Date : 2022-11-09 DOI: 10.3390/diagnostics12112735

Rong-San Jiang, Chien-Hung Shih, Yu-Han Jiang, Han-Hsueh Hsieh, Yi-Fang Chiang, Han-Ni Chuang, Tzu-Hung Hsiao

{"title":"Nasal Mycology of Chronic Rhinosinusitis Revealed by Nanopore Sequencing.","authors":"Rong-San Jiang, Chien-Hung Shih, Yu-Han Jiang, Han-Hsueh Hsieh, Yi-Fang Chiang, Han-Ni Chuang, Tzu-Hung Hsiao","doi":"10.3390/diagnostics12112735","DOIUrl":"https://doi.org/10.3390/diagnostics12112735","url":null,"abstract":"Background: Nanopore sequencing (NS) is a third-generation sequencing technology capable of generating reads of long sequences. In this study, we used NS to investigate nasal mycology in patients with chronic rhinosinusitis (CRS).Methods: Nasal cavities of 13 CRS patients were individually irrigated with 20 mL of distilled water. The irrigant was forcefully blown by the patient into a basin. The collected fluid was placed into a centrifuge tube and processed using the method of Ponikau et al. The collected specimens were used for traditional fungal culture and sequenced for total DNA using NS.Results: Traditional fungal culture successfully grew fungi in the specimens of 11 (84.6%) patients. Aspergillus sp. and Penicillium sp. were found in four (30.8%) patients, Cladosporium sp. in three (23.1%) patients, and Candida albicans, Mucor sp. and Chaetomium sp. in one patient. NS revealed fungi abundance ranged from 81 to 2226, with the Shannon species diversity ranging from 1.094 to 1.683 at the genus level. Malassezia sp. was sequenced in 13 patients, Aspergillus sp. in 12 (92.3%) patients, Candida albicans in 11 (84.6%) patients, and Penicillium sp. in 10 (76.9%) patients.Conclusion: Our results showed that NS was sensitive and fast in detecting nasal fungi in CRS patients.","PeriodicalId":520604,"journal":{"name":"Diagnostics (Basel, Switzerland)","volume":" ","pages":""},"PeriodicalIF":3.6,"publicationDate":"2022-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689523/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40459609","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

AAL and Internet of Medical Things for Monitoring Type-2 Diabetic Patients. AAL与医疗物联网在2型糖尿病患者监测中的应用

IF 3.6

Diagnostics (Basel, Switzerland) Pub Date : 2022-11-09 DOI: 10.3390/diagnostics12112739

Shakeel Ahmed, Parvathaneni Naga Srinivasu, Abdulaziz Alhumam, Mohammed Alarfaj

{"title":"AAL and Internet of Medical Things for Monitoring Type-2 Diabetic Patients.","authors":"Shakeel Ahmed, Parvathaneni Naga Srinivasu, Abdulaziz Alhumam, Mohammed Alarfaj","doi":"10.3390/diagnostics12112739","DOIUrl":"https://doi.org/10.3390/diagnostics12112739","url":null,"abstract":"Due to an aging population, assisted-care options are required so that senior citizens may maintain their independence at home for a longer time and rely less on caretakers. Ambient Assisted Living (AAL) encourages the creation of solutions that can help to optimize the environment for senior citizens with assistance while greatly reducing their challenges. A framework based on the Internet of Medical Things (IoMT) is used in the current study for the implementation of AAL technology to help patients with Type-2 diabetes. A glucose oxide sensor is used to monitor diabetic elderly people continuously. Spectrogram images are created from the recorded data from the sensor to assess and detect aberrant glucose levels. DenseNet-169 examines and analyzes the spectrogram pictures, and messages are sent to caregivers when aberrant glucose levels are detected. The current work describes both the spectrogram image analysis and the signal-to-spectrogram generating method. The study presents a future perspective model for a mobile application for real-time patient monitoring. Benchmark metrics evaluate the application's performances, including sensitivity, specificity, accuracy, and F1-score. Several cross--validations are used to evaluate the model's performance. The findings demonstrate that the proposed model can correctly identify patients with abnormal blood glucose levels.","PeriodicalId":520604,"journal":{"name":"Diagnostics (Basel, Switzerland)","volume":" ","pages":""},"PeriodicalIF":3.6,"publicationDate":"2022-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689636/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40479759","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8

Advanced Magnetic Resonance Imaging Modalities for Breast Cancer Diagnosis: An Overview of Recent Findings and Perspectives. 先进的磁共振成像模式诊断乳腺癌:最近的发现和观点综述。

IF 3.6

Diagnostics (Basel, Switzerland) Pub Date : 2022-11-09 DOI: 10.3390/diagnostics12112741

Daryoush Shahbazi-Gahrouei, Fahimeh Aminolroayaei, Hamide Nematollahi, Mohammad Ghaderian, Sogand Shahbazi Gahrouei

{"title":"Advanced Magnetic Resonance Imaging Modalities for Breast Cancer Diagnosis: An Overview of Recent Findings and Perspectives.","authors":"Daryoush Shahbazi-Gahrouei, Fahimeh Aminolroayaei, Hamide Nematollahi, Mohammad Ghaderian, Sogand Shahbazi Gahrouei","doi":"10.3390/diagnostics12112741","DOIUrl":"https://doi.org/10.3390/diagnostics12112741","url":null,"abstract":"Breast cancer is the most prevalent cancer among women and the leading cause of death. Diffusion-weighted imaging (DWI) and diffusion tensor imaging (DTI) are advanced magnetic resonance imaging (MRI) procedures that are widely used in the diagnostic and treatment evaluation of breast cancer. This review article describes the characteristics of new MRI methods and reviews recent findings on breast cancer diagnosis. This review study was performed on the literature sourced from scientific citation websites such as Google Scholar, PubMed, and Web of Science until July 2021. All relevant works published on the mentioned scientific citation websites were investigated. Because of the propensity of malignancies to limit diffusion, DWI can improve MRI diagnostic specificity. Diffusion tensor imaging gives additional information about diffusion directionality and anisotropy over traditional DWI. Recent findings showed that DWI and DTI and their characteristics may facilitate earlier and more accurate diagnosis, followed by better treatment. Overall, with the development of instruments and novel MRI modalities, it may be possible to diagnose breast cancer more effectively in the early stages.","PeriodicalId":520604,"journal":{"name":"Diagnostics (Basel, Switzerland)","volume":" ","pages":""},"PeriodicalIF":3.6,"publicationDate":"2022-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689118/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"40479761","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4