Oral Surgery Oral Medicine Oral Pathology Oral Radiology最新文献

{"title":"Association of fungal sinusitis and endodontically treated maxillary teeth: a systematic review of the literature","authors":"Dr. Lindsay Tatman ,&nbsp;Dr. Sanjay Mallya","doi":"10.1016/j.oooo.2024.11.061","DOIUrl":"10.1016/j.oooo.2024.11.061","url":null,"abstract":"<div><div>Fungal sinusitis is common in immunocompromised individuals. However, fungal sinusitis still occurs in healthy individuals without risk factors for infection. The disease process of fungal sinusitis is not fully understood but has been thought to be associated with the inflammatory process of odontogenic procedures within the maxilla. The purpose of this systematic review was to evaluate the strength and frequency of the association between fungal sinusitis and endodontically treated maxillary teeth.</div><div>We queried PubMed and Google Scholar with the search terms “fungal sinusitis,” “endodontically treated,” “root canal treated,” and “maxillary teeth,” which yielded a total of 42 records. The titles and abstracts were screened to identify manuscripts that described studies investigating associations between fungal sinusitis and odontogenic infection. The manuscripts were reviewed in detail and the numbers of subjects with fungal sinusitis and with root canal treated maxillary teeth were collated. Searches and reviews and data collation was performed following Preferred Reporting Items for Systematic reviews and Meta-Analyses guidelines.</div><div>Our systematic review included 5 case-control studies and 6 case reports that provided adequate details on the association between fungal sinusitis and root canal treated maxillary teeth. These manuscripts yielded a total of 399 individual patients with fungal sinusitis. Of these, 217 patients (54.3 %) had at least one endodontically treated maxillary tooth. The average age across all subjects was 57.1 years. 70% of subjects were female. Two studies did not report age and gender distribution. In 2 cases, the sinus infection was bilateral.</div><div>Endodontic treatment of the maxillary teeth is a significant risk factor for fungal sinusitis. Oral and maxillofacial radiologists must be aware of this association so they can recognize etiological factors of fungal sinusitis and direct management as necessary.</div></div>","PeriodicalId":49010,"journal":{"name":"Oral Surgery Oral Medicine Oral Pathology Oral Radiology","volume":"139 3","pages":"Pages e90-e91"},"PeriodicalIF":2.0,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143173243","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Presentation of rare genetic disorders: case series using segmented 3-dimensional (3D) models from cone beam computed tomography","authors":"Dr. Ahmed Abdelkarim ,&nbsp;Dr. Mayank Pahadia ,&nbsp;Dr. Joen Iannucci","doi":"10.1016/j.oooo.2024.11.058","DOIUrl":"10.1016/j.oooo.2024.11.058","url":null,"abstract":"<div><h3>Objective</h3><div>This abstract presents a case report and case series showcasing the use of segmented 3-dimensional (3D) models to identify key features in achondroplasia, Goldenhar syndrome, ectodermal dysplasia, and Down syndrome, without relying on clinical information.</div></div><div><h3>Clinical Presentation</h3><div>Instead of providing clinical details, this study focuses solely on the visual representation of segmented 3D models derived from cone beam computed tomography imaging. Each model accurately represents the unique facial characteristics associated with achondroplasia, Goldenhar syndrome, ectodermal dysplasia, and Down syndrome.</div></div><div><h3>Differential Diagnosis</h3><div>The differential diagnosis section is omitted from this abstract since the purpose is to showcase the visual representation of the syndromes rather than discussing potential diagnostic possibilities.</div></div><div><h3>Diagnosis and Management</h3><div>The histopathologic findings and treatment outcomes are not discussed in this abstract, as the focus is on utilizing segmented 3D models to identify distinct features of each syndrome.</div></div><div><h3>Conclusion</h3><div>This abstract highlights the use of segmented 3D models to visually represent achondroplasia, Goldenhar syndrome, ectodermal dysplasia, and Down syndrome. By visually presenting the unique facial characteristics associated with these syndromes, the models contribute to a better understanding and recognition of these rare genetic disorders. The use of segmented 3D models has the potential to enhance diagnosis, education, and research in the field of genetic syndromes.</div></div>","PeriodicalId":49010,"journal":{"name":"Oral Surgery Oral Medicine Oral Pathology Oral Radiology","volume":"139 3","pages":"Pages e89-e90"},"PeriodicalIF":2.0,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143173252","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"COVID-19−associated mucormycosis (CAM): a case series","authors":"Dr. Vinh Tran ,&nbsp;Dr. Brian Jardina ,&nbsp;Dr. Anita Gohel","doi":"10.1016/j.oooo.2024.11.012","DOIUrl":"10.1016/j.oooo.2024.11.012","url":null,"abstract":"<div><h3>Clinical Presentation</h3><div>We present 3 cases of COVID-19−associated mucormycosis diagnosed on cone beam computed tomography (CBCT) images from 3 endodontists in private practice. Patient 1 presented with paresthesia of the anterior maxillary region. Patient 2 presented with swelling of the anterior maxilla. Patient 3 was asymptomatic. All 3 patients were male in the age range of 58-64 years. All had a history of recent, previous COVID-19 infection. CBCT images of all 3 patients revealed irregular, ill-defined, osteolytic, predominantly radiolucent lesions in the anterior maxilla.</div></div><div><h3>Differential Diagnosis</h3><div>Differential diagnosis includes malignancy, other infection such as osteomyelitis, and other fungal infections (actinomycosis or candidiasis).</div></div><div><h3>Diagnosis and Management</h3><div>Diagnosis of a mucormycosis requires clinical examination, imaging studies such as CBCT and magnetic resonance imaging, histopathology, and culture of the fungal hyphae. Treatment and management of mucormycosis includes reversal of risk factors, surgical debridement and/or resection, and systemic antifungal therapy. In cases treated with surgical resection, fabrication of an obturator and/or prosthesis is required.</div></div><div><h3>Conclusion</h3><div>Mucormycosis is a serious but rare fungal infection caused by a group of molds called mucormycetes. A classic clinical sign of mucormycosis is the rapid onset of tissue necrosis with or without fever. Necrosis is the result of invasion of blood vessels and subsequent thrombosis. The overall mortality rate is approximately 50%. Mucormycosis has traditionally been rare in relation to the oral and maxillofacial region. However, with the advent, spread, and continued presence of COVID-19, COVID-19−associated mucormycosis is an infection of which dentists need to be aware and diagnose early. There is an increased incidence of these cases in patients with associated uncontrolled diabetes and corticosteroid use. Early identification and treatment can lead to better outcomes.</div></div>","PeriodicalId":49010,"journal":{"name":"Oral Surgery Oral Medicine Oral Pathology Oral Radiology","volume":"139 3","pages":"Page e71"},"PeriodicalIF":2.0,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143173667","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Case report: intraosseous vascular malformation of the left maxilla","authors":"Mr. Jason Lai ,&nbsp;Dr. Mohammed Husain","doi":"10.1016/j.oooo.2024.11.011","DOIUrl":"10.1016/j.oooo.2024.11.011","url":null,"abstract":"<div><h3>Clinical Presentation</h3><div>A 63-year-old male patient presented with a lesion in the left maxilla showing progressive growth over 15 years, leading to concerns about facial distortion. An exophytic mass was observed clinically, extending from the mucogingival junction to the infraorbital area and the right maxillary first molar area. Radiographic findings revealed an ill-defined mixed density lesion involving the left maxillary sinus, anterior palate, and alveolus, with radiopaque contents resembling a periosteal reaction. Notably, the lesion extended buccally beyond the buccal cortex, causing soft tissue distention and erosion of the left lateral wall of the nasal fossa.</div></div><div><h3>Differential Diagnosis</h3><div>Given the clinical and radiographic features of the lesion, the differential diagnoses considered arteriovenous malformation and low-grade osteosarcoma. Correlation with observed mucosal discolorations and the presence of a bruit, further imaging using magnetic resonance imaging with and without contrast, and aspiration prior to biopsy were advised for a definitive diagnosis and to delineate the full extent of the lesion.</div></div><div><h3>Diagnosis/Management</h3><div>After incisional biopsy and osteoplasty, histopathologic evaluation confirmed the lesion as an intraosseous vascular malformation, characterized by an admixture of malformed vascular structures including capillaries, arteries, and venules, exhibiting abnormal vascular dilation. Intraosseous vascular malformations are a benign malformation of blood vessels with endothelial cells that do not have pathological proliferation. These lesions are typically seen in the first 3 decades of life in the mandible of female patients.</div></div><div><h3>Conclusions</h3><div>This case of an intraosseous vascular malformation, uniquely presenting in the maxilla of an older male patient, underscores the challenges associated with such lesions. The variable radiographic appearances can simulate malignant neoplasms, reinforcing the importance of comprehensive clinical, radiographic, and meticulous histopathological assessments for accurate diagnosis and management of this lesion.</div></div>","PeriodicalId":49010,"journal":{"name":"Oral Surgery Oral Medicine Oral Pathology Oral Radiology","volume":"139 3","pages":"Page e71"},"PeriodicalIF":2.0,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143173668","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Quantifying condylar distortion in panoramic radiography","authors":"Dr. Brandon Koroni ,&nbsp;Dr. André Mol ,&nbsp;Dr. Angela Broome ,&nbsp;Dr. Pei Feng Lim","doi":"10.1016/j.oooo.2024.11.051","DOIUrl":"10.1016/j.oooo.2024.11.051","url":null,"abstract":"<div><h3>Objective</h3><div>To quantify the amount of distortion of the mandibular condyle in panoramic radiographs when comparing standard and temporomandibular joint (TMJ) programs and different patient positions.</div></div><div><h3>Study Design</h3><div>Five dry cadaveric mandibles were scanned using standard panoramic and TMJ modes. Markers were placed on the medial (M), lateral (L), anterior (A), posterior (P), and superior (S) aspects of the condyles. The mandibles were imaged with the AT ProVecta 3D Prime in an ideal position, right and left turn as well as chin-up and chin-down. A cone beam computed tomography scan of each mandible was taken to establish true relationships between the markers. Reproducibility was tested by reacquiring the images of one mandible and re-measuring the markers of another.</div></div><div><h3>Results</h3><div>Distortion was present in all images, regardless of the program and the position of the mandible. Distortion was greatest between the medial and lateral poles in the vertical dimension. Most differences between panoramic and TMJ modes were not statistically significant. Reproducibility of the method was high.</div></div><div><h3>Conclusion</h3><div>The AT ProVecta 3D Prime produces distortion of the condyle that impacts the radiographic appearance in panoramic radiographs. The TMJ program did not meaningfully mitigate the distortion seen with the standard panoramic program.</div></div>","PeriodicalId":49010,"journal":{"name":"Oral Surgery Oral Medicine Oral Pathology Oral Radiology","volume":"139 3","pages":"Page e87"},"PeriodicalIF":2.0,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143173757","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Society Page","authors":"","doi":"10.1016/S2212-4403(24)00958-1","DOIUrl":"10.1016/S2212-4403(24)00958-1","url":null,"abstract":"","PeriodicalId":49010,"journal":{"name":"Oral Surgery Oral Medicine Oral Pathology Oral Radiology","volume":"139 3","pages":"Page A5"},"PeriodicalIF":2.0,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143172465","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Molar-incisor malformation: a case report","authors":"Dr. Austin Hughes ,&nbsp;Dr. JP Castro ,&nbsp;Dr. Sindhura Anamali","doi":"10.1016/j.oooo.2024.11.030","DOIUrl":"10.1016/j.oooo.2024.11.030","url":null,"abstract":"<div><h3>Clinical presentation</h3><div>A 13-year-old male patient was referred to the pathology clinic at The University of Iowa, College of Dentistry to evaluate the first molars for root resorption. The patient has a reported history of Ehlers-Danlos syndrome. The clinical impression, upon examination was that of molar-incisor malformation (MIM). Radiographs were ordered to confirm the diagnosis. Radiographic evaluation of a cone beam computed tomography showed an altered morphology of the maxillary and mandibular right and left first molars wherein the teeth were smaller in size, had smaller and narrow pulp chambers, narrowed less defined canals, thinned enamel and noticeable cervical constriction. The radiographic findings were consistent with a diagnosis of MIM; however, the incisors have no significant morphologic variations in their development.</div></div><div><h3>Differential Diagnosis</h3><div>Dental anomalies have been reported in cases of Ehlers-Danlos syndrome; however, this particular appearance of the teeth has not been associated with the disorder previously. No other plausible conditions have this appearance localized to the first molars.</div></div><div><h3>Diagnosis and Management</h3><div>As the etiology of MIM is unclear and could be multifactorial, genetic, and histologic verification were not used in this case. Diagnosis was determined on the basis of medical history and clinical and radiographic examination. The patient had the permanent first molars extracted in spring of 2023 and is under orthodontic treatment to close the remaining spaces orthodontically.</div></div><div><h3>Conclusion</h3><div>Although MIM has been first described in the literature relatively recently, it is thought to involve epigenetic factors related to brain-related systemic diseases and root development. In this case study the only condition that was reported on was Ehlers-Danlos syndrome, and although there are some dental anomalies that can be contributed to the disorder, MIM does not appear to be one of them. This reflects how little is still known about the etiology of the condition and highlights the importance of continued research on the topic.</div></div>","PeriodicalId":49010,"journal":{"name":"Oral Surgery Oral Medicine Oral Pathology Oral Radiology","volume":"139 3","pages":"Page e78"},"PeriodicalIF":2.0,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143172697","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Automatic feature segmentation in dental panoramic radiographs","authors":"Dr. Rohan Jagtap ,&nbsp;Dr. Prashant Jaju ,&nbsp;Dr. Avula Samatha ,&nbsp;Dr. Vidhi Shah ,&nbsp;Dr. Sana Noor Siddiqui ,&nbsp;Dr. Aniket Jadhav","doi":"10.1016/j.oooo.2024.11.068","DOIUrl":"10.1016/j.oooo.2024.11.068","url":null,"abstract":"<div><h3>Objective</h3><div>The purpose of our study is to verify the diagnostic performance of an artificial intelligence (AI) system for the automatic detection of teeth, caries, implants, restorations, and fixed prosthesis on panoramic radiography.</div></div><div><h3>Methodology</h3><div>Panoramic radiographs were obtained from the EPIC and MiPacs systems of the University of Mississippi Medical Center, spanning from June 2022 to May 2023. A total of one thousand panoramic radiographs of adults were used to identify teeth, caries, implants, restorations, and fixed prostheses. The study included images from 580 patients. The identification and detection of teeth, caries, implants, restorations, and fixed prostheses were then independently determined by 2 oral and maxillofacial radiologists. The convolutional neural network−based architecture was analyzed for detecting panoramic findings. The artificial intelligence system (Velmeni Inc.) was used for analysis to determine whether the panoramic findings could be detected.</div></div><div><h3>Results</h3><div>The convolutional neural network system successfully detected teeth, caries, implants, restorations, and fixed prostheses on panoramic radiography. The AI system was able to detect findings in 567 out of a total of 580 panoramic radiographs, with a reliability of correctly detecting panoramic findings at 97.75%.</div></div><div><h3>Conclusion</h3><div>The detection of teeth and periapical pathosis performed by oral radiologists and by AI systems were comparable with each other. AI systems developed on the basis of on deep-learning methods can be useful for detecting teeth, caries, implants, restorations, and fixed prosthesis on panoramic images for clinical applications.</div></div>","PeriodicalId":49010,"journal":{"name":"Oral Surgery Oral Medicine Oral Pathology Oral Radiology","volume":"139 3","pages":"Pages e93-e94"},"PeriodicalIF":2.0,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143172914","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prevalence and imaging findings in central giant cell granuloma—retrospective study","authors":"Dr. Ghaidaa Badabaan ,&nbsp;Dr. Dena Abderbwih ,&nbsp;Dr. Anita Gohel","doi":"10.1016/j.oooo.2024.11.020","DOIUrl":"10.1016/j.oooo.2024.11.020","url":null,"abstract":"<div><h3>Objective</h3><div>Central giant cell granuloma (CGCG) is a benign neoplasm of the jaw that can be locally aggressive. Investigating the detailed prevalence and radiographic features will broaden our understanding of this entity, further helping us narrow the diagnosis in ambiguous cases.</div></div><div><h3>Study Design</h3><div>This study retrospectively reviewed histologically proven CGCG cases from January 2011 to June 2023. This study was conducted in the Division of Oral and Maxillofacial Radiology, University of Florida College of Dentistry. Patients from both University of Florida Health Science Center and Shands Hospital were included in the data collection. Demographic data, clinical, radiographic features, surgical management and recurrence were evaluated and recorded.</div></div><div><h3>Results</h3><div>In the time interval, 16 cases with biopsy-proven CGCG cases were included. The mean age was 19.7 years, with a predilection for female (87%). 75% of the cases were in the mandible, with 85% of these cases seen in the posterior region. In total, 88% of the lesions were multilocular and root resorption was noted in 50% of the cases. Expansion and thinning of the cortices was seen in all, with effacement seen in 85% of the cases. Enucleation and curettage were the most commonly reported treatment. Recurrence was seen in one case, whereas a new lesion developed in a different location in one of the cases. There an increased association between the location of the lesion and the locularity. Posterior lesions were more likely to have multilocular appearance.</div></div><div><h3>Conclusion</h3><div>CGCG is a rare benign neoplasm that is primarily seen in young patients. It is more common in patients under 30 with a female predilection. Posterior lesions were more likely to be multilocular.</div></div>","PeriodicalId":49010,"journal":{"name":"Oral Surgery Oral Medicine Oral Pathology Oral Radiology","volume":"139 3","pages":"Page e74"},"PeriodicalIF":2.0,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143172940","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluation of artificial intelligence for airway analysis on cone beam computed tomography","authors":"Dr. Rohan Jagtap ,&nbsp;Dr. Aniket Jadhav ,&nbsp;Dr. Avula Samatha ,&nbsp;Dr. Sana Noor Siddiqui ,&nbsp;Dr. Prashant Jaju","doi":"10.1016/j.oooo.2024.11.067","DOIUrl":"10.1016/j.oooo.2024.11.067","url":null,"abstract":"<div><h3>Aim</h3><div>The aim of the study is to verify the success of an artificial intelligence model for the automatic airway segmentation on cone beam computed tomography (CBCT) images.</div></div><div><h3>Materials and Methods</h3><div>Three hundred CBCT images of adults were used in this study for airway assessment. The algorithm development was carried out using the Mask R-CNN ResNet 101 model. Both manual segmentation and an artificial intelligence (AI) system from Velmeni, Inc., were used for airway analysis. The airway analysis was determined by two oral and maxillofacial radiologists using Anatomage InVivo 3D software. Additionally, the convolutional neural network−based architecture was employed for airway volume detection. A comparison was made between the results obtained from the human observers and the artificial intelligence model.</div></div><div><h3>Results</h3><div>In evaluating the performance of the AI model for the segmentation of airway analysis, true positive, false positive, and false negative values were found to be 485, 18, and 23, respectively. Sensitivity, precision, and F1 score values were calculated as 0.9332, 0.9615, and 0.9766, respectively. The area under curve value was calculated as 0.8467.</div></div><div><h3>Conclusion</h3><div>The integration of the AI Mask R-CNN ResNet 101 model for airway analysis holds great promise in the decision support system for diagnostic accuracy, treatment planning, and overall treatment outcomes.</div></div>","PeriodicalId":49010,"journal":{"name":"Oral Surgery Oral Medicine Oral Pathology Oral Radiology","volume":"139 3","pages":"Page e93"},"PeriodicalIF":2.0,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143172975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}