Publication Information

{'id': 'https://openalex.org/W3031740696', 'doi': 'https://doi.org/10.3877/cma.j.issn.1672-6448.2016.08.013', 'title': 'The value of superb micro-vascular imaging for diagnosis of thyroid nodules', 'display_name': 'The value of superb micro-vascular imaging for diagnosis of thyroid nodules', 'publication_year': 2016, 'publication_date': '2016-08-01', 'ids': {'openalex': 'https://openalex.org/W3031740696', 'doi': 'https://doi.org/10.3877/cma.j.issn.1672-6448.2016.08.013', 'mag': '3031740696'}, 'language': 'en', 'primary_location': {'is_oa': False, 'landing_page_url': 'http://rs.yiigle.com/CN119115201608/1067088.htm', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S4306506117', 'display_name': 'Chin J Med Ultrasound(Electronic Edition)', 'issn_l': None, 'issn': None, 'is_oa': False, 'is_in_doaj': False, 'is_core': False, 'host_organization': None, 'host_organization_name': None, 'host_organization_lineage': [], 'host_organization_lineage_names': [], 'type': 'journal'}, 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'raw_affiliation_strings': ['Department of Ultrasound, Huadong Hospital of Fudan University, Shanghai 200040, China'], 'affiliations': [{'raw_affiliation_string': 'Department of Ultrasound, Huadong Hospital of Fudan University, Shanghai 200040, China', 'institution_ids': ['https://openalex.org/I4210099446', 'https://openalex.org/I24943067']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5078126129', 'display_name': 'Jia Zhan', 'orcid': 'https://orcid.org/0000-0002-2179-4095'}, 'institutions': [], 'countries': [], 'is_corresponding': False, 'raw_author_name': 'Jia Zhan', 'raw_affiliation_strings': [], 'affiliations': []}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5100443808', 'display_name': 'Lin Chen', 'orcid': 'https://orcid.org/0000-0003-3399-8711'}, 'institutions': [], 'countries': [], 'is_corresponding': False, 'raw_author_name': 'Lin Chen', 'raw_affiliation_strings': [], 'affiliations': []}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5100713400', 'display_name': 'Jun Zhu', 'orcid': 'https://orcid.org/0000-0002-6283-9229'}, 'institutions': [], 'countries': [], 'is_corresponding': False, 'raw_author_name': 'Jun Zhu', 'raw_affiliation_strings': [], 'affiliations': []}, {'author_position': 'last', 'author': {'id': 'https://openalex.org/A5066449489', 'display_name': 'Chunyan Zhong', 'orcid': None}, 'institutions': [], 'countries': [], 'is_corresponding': False, 'raw_author_name': 'Chunyan Zhong', 'raw_affiliation_strings': [], 'affiliations': []}], 'institution_assertions': [], 'countries_distinct_count': 1, 'institutions_distinct_count': 2, 'corresponding_author_ids': [], 'corresponding_institution_ids': [], 'apc_list': None, 'apc_paid': None, 'fwci': 0.0, 'has_fulltext': False, 'cited_by_count': 3, 'citation_normalized_percentile': {'value': 0.587851, 'is_in_top_1_percent': False, 'is_in_top_10_percent': False}, 'cited_by_percentile_year': {'min': 77, 'max': 79}, 'biblio': {'volume': '13', 'issue': '8', 'first_page': '622', 'last_page': '626'}, 'is_retracted': False, 'is_paratext': False, 'primary_topic': {'id': 'https://openalex.org/T10329', 'display_name': 'Thyroid Cancer Diagnosis and Treatment', 'score': 0.9831, 'subfield': {'id': 'https://openalex.org/subfields/2712', 'display_name': 'Endocrinology, Diabetes and Metabolism'}, 'field': {'id': 'https://openalex.org/fields/27', 'display_name': 'Medicine'}, 'domain': {'id': 'https://openalex.org/domains/4', 'display_name': 'Health Sciences'}}, 'topics': [{'id': 'https://openalex.org/T10329', 'display_name': 'Thyroid Cancer Diagnosis and Treatment', 'score': 0.9831, 'subfield': {'id': 'https://openalex.org/subfields/2712', 'display_name': 'Endocrinology, Diabetes and Metabolism'}, 'field': {'id': 'https://openalex.org/fields/27', 'display_name': 'Medicine'}, 'domain': {'id': 'https://openalex.org/domains/4', 'display_name': 'Health Sciences'}}, {'id': 'https://openalex.org/T12422', 'display_name': 'Radiomics and Machine Learning in Medical Imaging', 'score': 0.9055, 'subfield': {'id': 'https://openalex.org/subfields/2741', 'display_name': 'Radiology, Nuclear Medicine and Imaging'}, 'field': {'id': 'https://openalex.org/fields/27', 'display_name': 'Medicine'}, 'domain': {'id': 'https://openalex.org/domains/4', 'display_name': 'Health Sciences'}}], 'keywords': [{'id': 'https://openalex.org/keywords/thyroid-nodules', 'display_name': 'Thyroid Nodules', 'score': 0.9238949}, {'id': 'https://openalex.org/keywords/nodule', 'display_name': 'Nodule (geology)', 'score': 0.8548466}], 'concepts': [{'id': 'https://openalex.org/C2779022025', 'wikidata': 'https://www.wikidata.org/wiki/Q53829', 'display_name': 'Thyroid nodules', 'level': 3, 'score': 0.9238949}, {'id': 'https://openalex.org/C2776731575', 'wikidata': 'https://www.wikidata.org/wiki/Q2916245', 'display_name': 'Nodule (geology)', 'level': 2, 'score': 0.8548466}, {'id': 'https://openalex.org/C71924100', 'wikidata': 'https://www.wikidata.org/wiki/Q11190', 'display_name': 'Medicine', 'level': 0, 'score': 0.6677108}, {'id': 'https://openalex.org/C526584372', 'wikidata': 'https://www.wikidata.org/wiki/Q16399', 'display_name': 'Thyroid', 'level': 2, 'score': 0.6455381}, {'id': 'https://openalex.org/C158846371', 'wikidata': 'https://www.wikidata.org/wiki/Q1642137', 'display_name': 'Blood flow', 'level': 2, 'score': 0.6293171}, {'id': 'https://openalex.org/C142724271', 'wikidata': 'https://www.wikidata.org/wiki/Q7208', 'display_name': 'Pathology', 'level': 1, 'score': 0.46448785}, {'id': 'https://openalex.org/C126838900', 'wikidata': 'https://www.wikidata.org/wiki/Q77604', 'display_name': 'Radiology', 'level': 1, 'score': 0.447006}, {'id': 'https://openalex.org/C110121322', 'wikidata': 'https://www.wikidata.org/wiki/Q865811', 'display_name': 'Distribution (mathematics)', 'level': 2, 'score': 0.42653224}, {'id': 'https://openalex.org/C3019719930', 'wikidata': 'https://www.wikidata.org/wiki/Q3910099', 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'score': 0.0}], 'mesh': [], 'locations_count': 1, 'locations': [{'is_oa': False, 'landing_page_url': 'http://rs.yiigle.com/CN119115201608/1067088.htm', 'pdf_url': None, 'source': {'id': 'https://openalex.org/S4306506117', 'display_name': 'Chin J Med Ultrasound(Electronic Edition)', 'issn_l': None, 'issn': None, 'is_oa': False, 'is_in_doaj': False, 'is_core': False, 'host_organization': None, 'host_organization_name': None, 'host_organization_lineage': [], 'host_organization_lineage_names': [], 'type': 'journal'}, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}], 'best_oa_location': None, 'sustainable_development_goals': [{'score': 0.45, 'id': 'https://metadata.un.org/sdg/3', 'display_name': 'Good health and well-being'}], 'grants': [], 'datasets': [], 'versions': [], 'referenced_works_count': 0, 'referenced_works': [], 'related_works': ['https://openalex.org/W3031638895', 'https://openalex.org/W3031414955', 'https://openalex.org/W3031191520', 'https://openalex.org/W3030954683', 'https://openalex.org/W3029830603', 'https://openalex.org/W3028661102', 'https://openalex.org/W3025964273', 'https://openalex.org/W2970555743', 'https://openalex.org/W2883895429', 'https://openalex.org/W2393963523', 'https://openalex.org/W2392834230', 'https://openalex.org/W2380996156', 'https://openalex.org/W2375027963', 'https://openalex.org/W2371731210', 'https://openalex.org/W2364191461', 'https://openalex.org/W2361294542', 'https://openalex.org/W2358610056', 'https://openalex.org/W2358089317', 'https://openalex.org/W2355958431', 'https://openalex.org/W2352420094'], 'abstract_inverted_index': {'Objective\r\nTo': [0], 'evaluate': [1], 'the': [2, 18, 54, 65, 88, 100, 105, 147, 165, 183, 193, 205, 299, 327], 'value': [3, 114, 118, 289, 293, 334], 'of': [4, 22, 35, 68, 90, 186, 192, 294, 301, 338], 'superb': [5], 'mircovascular': [6, 347], 'imaging': [7, 79], '(SMI)': [8], 'for': [9], 'differentiating': [10], 'benign': [11, 127, 148, 170, 215, 270, 339], 'from': [12, 32], 'malignant': [13, 138, 180, 228, 341], 'thyroid': [14, 23, 40, 55, 69, 302, 342], 'nodules': [15, 41, 56, 91, 139, 149, 166, 172, 217, 230, 259, 272, 304], 'by': [16, 59], 'observing': [17], 'flow': [19, 48, 62, 78, 93, 175, 220, 233, 262, 275, 329], 'distribution': [20, 89, 176, 221, 234], 'characteristics': [21, 67], 'solid': [24, 171, 216, 229, 303], 'nodules.\r\n\r\n\r\nMethods\r\nFrom': [25], 'May': [26], 'to': [27, 86, 325], 'June': [28], '2014,': [29], 'patients,': [30], 'come': [31], 'Huadong': [33], 'Hospital': [34], 'Fudan': [36], 'University,': [37], 'with': [38, 45, 104, 173, 218, 231, 260, 273], '68': [39, 123], 'were': [42, 57, 71, 102, 119, 126, 130, 140, 150, 207, 241, 267, 279, 305], 'preoperatively': [43], 'evaluated': [44], 'color': [46, 66], 'Doplor': [47], 'image': [49], '(CDFI)': [50], 'and': [51, 64, 73, 97, 99, 115, 121, 128, 134, 154, 179, 225, 227, 238, 247, 265, 271, 290, 296, 330, 340], 'SMI.': [52], 'All': [53], 'confirmed': [58], 'pathology.': [60], 'The': [61, 81, 108, 283], 'pattern': [63], 'nodule': [70], 'observed': [72], 'compared': [74, 103], 'between': [75, 95, 245], 'those': [76, 191], 'two': [77], 'technology.': [80], 'Chi-square': [82], 'test': [83], 'was': [84, 254], 'used': [85, 255], 'compare': [87], 'blood': [92, 167, 174, 219, 232, 261, 274], 'patterns': [94], 'CDFI': [96, 133, 194, 297], 'SMI': [98, 135, 159, 187, 246, 295], 'results': [101], 'pathology': [106], 'results.': [107], 'sensitivity,': [109, 284], 'specificity,': [110, 285], 'accuracy,': [111, 286], 'positive': [112, 287], 'predictive': [113, 117, 288, 292], 'negative': [116, 291], 'calculated': [120], 'analyzed.\r\n\r\n\r\nResults\r\nFor': [122], 'nodules,': [124], '41': [125], '27': [129], 'malignant.': [131, 282], 'Both': [132], 'showed': [136], 'that': [137], 'mostly': [141], 'central': [142], 'type': [143, 156, 177, 181, 222, 235, 263, 276], 'vascularization': [144, 157], '(Ⅲ),': [145], 'whereas': [146], 'mainly': [151], 'peripheral': [152], '(Ⅱ)': [153], 'mixed': [155], '(Ⅳ).': [158], 'is': [160, 322], 'more': [161, 323], 'sensitively': [162], 'in': [163, 298, 335], 'display': [164, 184], 'flow.': [168], 'For': [169, 214], 'Ⅱ': [178, 237, 264], 'Ⅲ,': [182], 'rates': [185], 'are': [188], 'higher': [189], 'than': [190], '[68.3%': [195], '(28/41)': [196], 'vs': [197, 202, 307, 310, 313, 316, 319], '46.3%': [198], '(19/41),': [199], '77.8%': [200], '(21/27)': [201], '37.0%': [203], '(10/27)],': [204], 'differences': [206, 244], 'statistically': [208], 'significant': [209, 243], '(χ2=4.04,': [210], 'P<0.05;': [211], 'χ2=9.16,': [212], 'P<0.01).': [213], 'Ⅰ,': [223, 236], 'Ⅲ': [224, 277], 'Ⅳ': [226, 266], 'Ⅳ,': [239], 'there': [240], 'no': [242], 'CDFI.': [248], 'In': [249], 'this': [250], 'study,': [251], 'pathological': [252], 'diagnosis': [253, 278, 300, 337], 'as': [256, 269, 281], 'gold': [257], 'standard,': [258], 'diagnosed': [268, 280], '63.0%': [306], '88.9%,': [308], '80.5%': [309], '95.1%,': [311], '73.5%': [312], '92.9%,': [314], '68.0%': [315], '92.6%,': [317], '76.7%': [318], '92.3%,': [320], 'respectively.\r\n\r\n\r\nConclusion\r\nSMI': [321], 'sensitive': [324], 'show': [326], 'real': [328], 'contribute': [331], 'a': [332], 'certain': [333], 'differential': [336, 349], 'nodules.\r\n\r\n\r\nKey': [343], 'words:': [344], '\r\nThyroid': [345], 'nodule;\xa0Superb': [346], 'imaging;\xa0Diagnosis,': [348]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W3031740696', 'counts_by_year': [{'year': 2023, 'cited_by_count': 2}, {'year': 2022, 'cited_by_count': 1}], 'updated_date': '2025-01-04T19:04:15.826888', 'created_date': '2020-06-05'}