You will be shown an abstract from a biomedical research paper. Given this abstract, your task is to extract all unique entities of the following types: ["HealthCareActivity", "InjuryOrPoisoning", "BodySubstance", "IntellectualProduct", "AnatomicalStructure", "SpatialConcept", "Chemical", "Bacterium", "MedicalDevice", "Organization", "BiomedicalOccupationOrDiscipline", "Finding", "BiologicFunction", "Virus", "ResearchActivity", "ClinicalAttribute", "PopulationGroup", "Eukaryote", "BodySystem", "Food", "ProfessionalOrOccupationalGroup"].

Please return the output as a JSON object of the format: {"Virus": ["HIV", ...], "Bacterium": ["MRSA", ...], "AnatomicalStructure": ["Lung", ...], "BodySystem": ["CNS", ...], "BodySubstance": ["Serum", ...], "Finding": ["Headache", ...], "InjuryOrPoisoning": ["Fracture", ...], "BiologicFunction": ["Death", ...], "HealthCareActivity": ["Biopsy", ...], "ResearchActivity": ["Clinical trial", ...], "MedicalDevice": ["Lenses", ...], "SpatialConcept": ["Camps", ...], "BiomedicalOccupationOrDiscipline": ["Forensic medicine", ...], "Organization": ["WHO", ...], "ProfessionalOrOccupationalGroup": ["Provider", ...], "PopulationGroup": ["Swimmers", ...], "Chemical": ["Gold", ...], "Food": ["Rice", ...], "IntellectualProduct": ["RPAM", ...], "ClinicalAttribute": ["Biomarker", ...], "Eukaryote": ["Dogs", ...]}. The keys should be entity types and values should be lists of extracted entities belonging to the corresponding type. If you cannot find entities belonging to a specific type, the value should be [].

Only output the JSON object and do not include any additional text.

Abstract:

Trans-oral fine needle aspiration cytology in cervical (C1 and C2) vertebral lesions: a novel diagnostic approach Fine needle aspiration (FNA) cytology is a relatively non-invasive method for diagnosing both superficial and deep-seated neoplastic and non-neoplastic lesions. In this study, we evaluated the diagnostic utility of trans-oral FNA in cervical (C1 and C2) vertebral and paravertebral lesions. Eighteen FNA cases of cervical vertebral and paravertebral lesions performed by a trans-oral route without any image-guidance between 1995 and 2014 were retrieved from the archives of the cytology department at PGIMER, Chandigarh and reviewed. Out of 18 cases, a definite diagnosis was given in 15 cases (83.3%). The commonest diagnosis seen was granulomatous inflammation consistent with tuberculosis (33.3%). Trans-oral FNA is a quick, inexpensive and relatively safe outpatient procedure for sampling C1 and C2 vertebral and paravertebral lesions, which are clinically and radiologically difficult to approach. It helps in the early diagnosis and management of these patients.
{"AnatomicalStructure": ["C1 and C2 vertebral", "cervical vertebral", "cervical (C1 and C2) vertebral"], "Bacterium": [], "BiologicFunction": ["tuberculosis", "granulomatous inflammation", "deep-seated neoplastic"], "BiomedicalOccupationOrDiscipline": ["cytology", "radiologically"], "BodySubstance": [], "BodySystem": [], "Chemical": [], "ClinicalAttribute": [], "Eukaryote": [], "Finding": ["lesions", "diagnosing", "diagnosis", "superficial", "non-neoplastic lesions"], "Food": [], "HealthCareActivity": ["diagnostic approach", "outpatient procedure", "management of these patients", "early diagnosis"], "InjuryOrPoisoning": [], "IntellectualProduct": [], "MedicalDevice": [], "Organization": ["PGIMER", "department"], "PopulationGroup": [], "ProfessionalOrOccupationalGroup": [], "ResearchActivity": [], "SpatialConcept": ["trans-oral route", "paravertebral", "Trans-oral", "trans-oral"], "Virus": []}