Publication Information

{'id': 'https://openalex.org/W3025242367', 'doi': None, 'title': 'Impact of attenuation map generation schemes in lesion quantification in prostate cancer patients with PET/MRI', 'display_name': 'Impact of attenuation map generation schemes in lesion quantification in prostate cancer patients with PET/MRI', 'publication_year': 2018, 'publication_date': '2018-05-01', 'ids': {'openalex': 'https://openalex.org/W3025242367', 'mag': '3025242367'}, 'language': 'en', 'primary_location': {'is_oa': False, 'landing_page_url': 'http://jnm.snmjournals.org/content/59/supplement_1/651.short', 'pdf_url': None, 'source': None, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}, 'type': 'article', 'type_crossref': 'journal-article', 'indexed_in': [], 'open_access': {'is_oa': False, 'oa_status': 'closed', 'oa_url': None, 'any_repository_has_fulltext': False}, 'authorships': [{'author_position': 'first', 'author': {'id': 'https://openalex.org/A5066786564', 'display_name': 'Borjana Bogdanović', 'orcid': 'https://orcid.org/0000-0003-1671-9514'}, 'institutions': [{'id': 'https://openalex.org/I2802619606', 'display_name': 'Klinikum rechts der Isar', 'ror': 'https://ror.org/04jc43x05', 'country_code': 'DE', 'type': 'healthcare', 'lineage': ['https://openalex.org/I2802619606', 'https://openalex.org/I62916508']}], 'countries': ['DE'], 'is_corresponding': False, 'raw_author_name': 'Borjana Bogdanovic', 'raw_affiliation_strings': ['Klinikum rechts der Isar Munich  Germany'], 'affiliations': [{'raw_affiliation_string': 'Klinikum rechts der Isar Munich  Germany', 'institution_ids': ['https://openalex.org/I2802619606']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5010465497', 'display_name': 'Jorge Cabello', 'orcid': 'https://orcid.org/0000-0002-2042-616X'}, 'institutions': [{'id': 'https://openalex.org/I4210103170', 'display_name': 'Klinik und Poliklinik für Nuklearmedizin', 'ror': 'https://ror.org/00qqw1b44', 'country_code': 'DE', 'type': 'healthcare', 'lineage': ['https://openalex.org/I4210103170', 'https://openalex.org/I4210153755']}], 'countries': ['DE'], 'is_corresponding': False, 'raw_author_name': 'Jorge Cabello', 'raw_affiliation_strings': ['TU Muenchen Nuklearmedizin Muenchen  Germany'], 'affiliations': [{'raw_affiliation_string': 'TU Muenchen Nuklearmedizin Muenchen  Germany', 'institution_ids': ['https://openalex.org/I4210103170']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5038252449', 'display_name': 'Sylvia Schachoff', 'orcid': None}, 'institutions': [{'id': 'https://openalex.org/I2802619606', 'display_name': 'Klinikum rechts der Isar', 'ror': 'https://ror.org/04jc43x05', 'country_code': 'DE', 'type': 'healthcare', 'lineage': ['https://openalex.org/I2802619606', 'https://openalex.org/I62916508']}], 'countries': ['DE'], 'is_corresponding': False, 'raw_author_name': 'Sylvia Schachoff', 'raw_affiliation_strings': ['Klinikum rechts der Isar Klinik fur Nuklearmedizin Muenchen  Germany'], 'affiliations': [{'raw_affiliation_string': 'Klinikum rechts der Isar Klinik fur Nuklearmedizin Muenchen  Germany', 'institution_ids': ['https://openalex.org/I2802619606']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5067941796', 'display_name': 'Matthias Eiber', 'orcid': 'https://orcid.org/0000-0003-2130-644X'}, 'institutions': [], 'countries': ['DE'], 'is_corresponding': False, 'raw_author_name': 'Matthias Eiber', 'raw_affiliation_strings': ['Techinical University Munich Munich  Germany'], 'affiliations': [{'raw_affiliation_string': 'Techinical University Munich Munich  Germany', 'institution_ids': []}]}, {'author_position': 'last', 'author': {'id': 'https://openalex.org/A5091533868', 'display_name': 'Stephan G. Nekolla', 'orcid': 'https://orcid.org/0000-0002-8817-1482'}, 'institutions': [{'id': 'https://openalex.org/I4210103170', 'display_name': 'Klinik und Poliklinik für Nuklearmedizin', 'ror': 'https://ror.org/00qqw1b44', 'country_code': 'DE', 'type': 'healthcare', 'lineage': ['https://openalex.org/I4210103170', 'https://openalex.org/I4210153755']}], 'countries': ['DE'], 'is_corresponding': False, 'raw_author_name': 'Stephan Nekolla', 'raw_affiliation_strings': ['TU Muenchen Nuklearmedizin Muenchen  Germany'], 'affiliations': [{'raw_affiliation_string': 'TU Muenchen Nuklearmedizin Muenchen  Germany', 'institution_ids': ['https://openalex.org/I4210103170']}]}], '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': 0, 'citation_normalized_percentile': {'value': 0.0, 'is_in_top_1_percent': False, 'is_in_top_10_percent': False}, 'cited_by_percentile_year': {'min': 0, 'max': 62}, 'biblio': {'volume': '59', 'issue': None, 'first_page': '651', 'last_page': '651'}, 'is_retracted': False, 'is_paratext': False, 'primary_topic': {'id': 'https://openalex.org/T10522', 'display_name': 'Medical Imaging Techniques and Applications', 'score': 0.9948, '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'}}, 'topics': [{'id': 'https://openalex.org/T10522', 'display_name': 'Medical Imaging Techniques and Applications', 'score': 0.9948, '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'}}, {'id': 'https://openalex.org/T12422', 'display_name': 'Radiomics and Machine Learning in Medical Imaging', 'score': 0.985, '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'}}, {'id': 'https://openalex.org/T12386', 'display_name': 'Advanced X-ray and CT Imaging', 'score': 0.9232, 'subfield': {'id': 'https://openalex.org/subfields/2204', 'display_name': 'Biomedical Engineering'}, 'field': {'id': 'https://openalex.org/fields/22', 'display_name': 'Engineering'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}], 'keywords': [{'id': 'https://openalex.org/keywords/correction-for-attenuation', 'display_name': 'Correction for attenuation', 'score': 0.6815291}], 'concepts': [{'id': 'https://openalex.org/C123688308', 'wikidata': 'https://www.wikidata.org/wiki/Q7309537', 'display_name': 'Correction for attenuation', 'level': 3, 'score': 0.6815291}, {'id': 'https://openalex.org/C2989005', 'wikidata': 'https://www.wikidata.org/wiki/Q214963', 'display_name': 'Nuclear medicine', 'level': 1, 'score': 0.6805053}, {'id': 'https://openalex.org/C2780192828', 'wikidata': 'https://www.wikidata.org/wiki/Q181257', 'display_name': 'Prostate cancer', 'level': 3, 'score': 0.67910385}, {'id': 'https://openalex.org/C71924100', 'wikidata': 'https://www.wikidata.org/wiki/Q11190', 'display_name': 'Medicine', 'level': 0, 'score': 0.58801126}, {'id': 'https://openalex.org/C184652730', 'wikidata': 'https://www.wikidata.org/wiki/Q2357982', 'display_name': 'Attenuation', 'level': 2, 'score': 0.5154725}, {'id': 'https://openalex.org/C2776235491', 'wikidata': 'https://www.wikidata.org/wiki/Q9625', 'display_name': 'Prostate', 'level': 3, 'score': 0.48885268}, {'id': 'https://openalex.org/C2779751349', 'wikidata': 'https://www.wikidata.org/wiki/Q1474480', 'display_name': 'Scanner', 'level': 2, 'score': 0.43633258}, {'id': 'https://openalex.org/C121608353', 'wikidata': 'https://www.wikidata.org/wiki/Q12078', 'display_name': 'Cancer', 'level': 2, 'score': 0.2939303}, {'id': 'https://openalex.org/C41008148', 'wikidata': 'https://www.wikidata.org/wiki/Q21198', 'display_name': 'Computer science', 'level': 0, 'score': 0.25138938}, {'id': 'https://openalex.org/C2775842073', 'wikidata': 'https://www.wikidata.org/wiki/Q208376', 'display_name': 'Positron emission tomography', 'level': 2, 'score': 0.19756916}, {'id': 'https://openalex.org/C121332964', 'wikidata': 'https://www.wikidata.org/wiki/Q413', 'display_name': 'Physics', 'level': 0, 'score': 0.14740372}, {'id': 'https://openalex.org/C154945302', 'wikidata': 'https://www.wikidata.org/wiki/Q11660', 'display_name': 'Artificial intelligence', 'level': 1, 'score': 0.14133164}, {'id': 'https://openalex.org/C126322002', 'wikidata': 'https://www.wikidata.org/wiki/Q11180', 'display_name': 'Internal medicine', 'level': 1, 'score': 0.0}, {'id': 'https://openalex.org/C120665830', 'wikidata': 'https://www.wikidata.org/wiki/Q14620', 'display_name': 'Optics', 'level': 1, 'score': 0.0}], 'mesh': [], 'locations_count': 1, 'locations': [{'is_oa': False, 'landing_page_url': 'http://jnm.snmjournals.org/content/59/supplement_1/651.short', 'pdf_url': None, 'source': None, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}], 'best_oa_location': None, 'sustainable_development_goals': [], 'grants': [], 'datasets': [], 'versions': [], 'referenced_works_count': 0, 'referenced_works': [], 'related_works': ['https://openalex.org/W3176262467', 'https://openalex.org/W3119934238', 'https://openalex.org/W2995422073', 'https://openalex.org/W2951070289', 'https://openalex.org/W2948276003', 'https://openalex.org/W2918281835', 'https://openalex.org/W2909282461', 'https://openalex.org/W2888273524', 'https://openalex.org/W2766942772', 'https://openalex.org/W2541926793', 'https://openalex.org/W2385946940', 'https://openalex.org/W2366239741', 'https://openalex.org/W2350710101', 'https://openalex.org/W2278251235', 'https://openalex.org/W2067324127', 'https://openalex.org/W2049231321', 'https://openalex.org/W2021534355', 'https://openalex.org/W1958023642', 'https://openalex.org/W1522032141', 'https://openalex.org/W1036465239'], 'abstract_inverted_index': {'651': [0], 'Objectives:': [2], 'The': [6, 44, 291, 409], 'whole-body': [7, 540], 'MR-PET': [8], 'system': [9, 18], 'Siemens': [10], 'Biograph': [11], 'mMR': [12], 'is': [13, 531, 543], 'a': [14, 48, 82, 179, 198, 210, 544], 'well': [15, 23, 229, 482], 'established': [16], 'imaging': [17], 'for': [19, 146, 207, 275, 299, 368, 414, 436, 515, 535], 'clinical': [20], 'diagnostics': [21], 'as': [22, 24, 228, 230, 337, 481, 483], 'research': [25], 'studies.': [26], 'Since': [27], 'its': [28], 'introduction': [29], 'in': [30, 75, 124, 154, 193, 216, 225, 234, 343, 388, 431, 442, 466, 472, 477, 517], '2010,': [31], 'several': [32], 'implementations': [33], 'to': [34, 189, 273], 'generate': [35], 'PET': [36], 'attenuation': [37, 68, 107, 168, 502, 541], 'correction': [38, 69, 108, 169, 503, 542], 'were': [39, 144, 162, 223, 256, 289, 429, 456], 'provided': [40], 'by': [41], 'the': [42, 56, 76, 103, 155, 165, 194, 217, 226, 231, 235, 238, 262, 269, 278, 281, 339, 379, 385, 424, 432, 437, 443, 467, 473, 478, 493, 498, 518, 549], 'vendor.': [43], 'latest': [45], 'variant': [46], 'was': [47, 187, 350, 391, 487], 'five-compartment': [49], 'model': [50], 'including': [51, 511], 'major': [52], 'bones': [53, 114, 307, 311, 323, 327, 512], 'and': [54, 78, 91, 119, 205, 332, 363, 375, 382, 404, 418, 427, 495, 513], 'extending': [55], 'MR9s': [57], 'field-of-view': [58], 'with': [59, 67, 113, 137, 164, 174, 178, 306, 322, 347, 370, 446], 'HUGE': [60, 112, 116, 305, 309, 321, 325, 369, 372], '(B0': [61], 'homogenization': [62], 'using': [63, 128, 171, 237, 242, 258], 'gradient': [64], 'enhancement).': [65], 'Starting': [66], 'schemes': [70], 'which': [71], 'suffered': [72], 'from': [73], 'truncations': [74, 516], 'arms': [77, 519], 'solely': [79], 'based': [80, 539], 'on': [81, 121, 463], 'two-point': [83], 'Dixon-VIBE': [84, 335, 428, 494], 'sequence': [85], '(including': [86], 'only': [87], 'air,': [88], 'fat,': [89], 'water': [90], 'soft': [92, 474], 'tissue),': [93], 'incremental': [94], 'improvements': [95], 'became': [96], 'available.': [97], 'In': [98, 247, 378], 'this': [99], 'study,': [100], 'we': [101, 202, 267], 'compare': [102], 'impact': [104], 'of': [105, 142, 209, 212, 249, 277, 423, 450, 469, 497, 548, 552], 'four': [106, 166, 282], 'methods,': [109], 'namely': [110], 'Dixon-VIBE,': [111], 'included,': [115], 'without': [117, 310, 326, 373], 'bones,': [118, 371, 374], 'MLAA,': [120, 376], 'lesion': [122, 301, 317, 525], 'quantification': [123], 'prostate': [125, 133, 524], 'cancer': [126, 134], 'patients': [127, 135], 'F18': [129], 'labelled': [130], 'PSMA.\nMethods:': [131], 'Ten': [132], 'injected': [136], '340': [138], '±': [139], '39': [140], 'MBq': [141], '[18F]-PSMA': [143], 'scanned': [145], '25-30': [147], 'minutes': [148], '(5': [149], 'min': [150, 159], 'per': [151], 'bed': [152], 'position)': [153], 'PET/MR': [156], 'scanner': [157], '90': [158], 'p.i.,': [160], 'Images': [161], 'reconstructed': [163], 'aforementioned': [167], 'methods': [170, 426, 504], '3': [172], 'iterations': [173], '21': [175], 'subsets,': [176], 'filtered': [177], '4': [180], 'mm': [181], 'FWHM': [182], 'Gaussian': [183], 'kernel.': [184], 'Visual': [185], 'analysis': [186], 'performed': [188, 268], 'assess': [190], 'potential': [191], 'differences': [192, 279, 288], 'investigated': [195], 'methods.': [196], 'For': [197], 'more': [199], 'quantitative': [200], 'assessment,': [201], 'analyzed': [203], 'SUVmean': [204], 'SUVmax': [206], 'each': [208, 348, 422, 496], 'total': [211], '14': [213], 'lesions': [214, 222, 470], 'located': [215, 224], 'pelvic': [218, 479], 'region': [219, 476], '(whereby': [220], 'no': [221, 296, 488], 'bone),': [227], 'average': [232, 340, 386, 447], 'SUV': [233, 302, 318, 448], 'background': [236, 438, 484], 'PERCIST': [239], 'reference': [240], 'VOIs': [241, 439], 'commercial': [243], 'software': [244], '(Syngo': [245], 'TrueD).': [246], 'absence': [248], 'absolute': [250], 'ground': [251], 'truth': [252], 'data,': [253], 'uptake': [254, 527], 'values': [255, 441, 449], 'compared': [257], 'linear': [259], 'regression': [260], 'against': [261], 'plain': [263], 'DIXON': [264], 'methodology.': [265], 'Finally,': [266], 'Wilcoxon': [270, 292], 'rank-sum': [271, 293], 'tests': [272], 'check': [274], 'significance': [276, 298], 'between': [280, 421, 492], 'reconstruction': [283], 'methods.\nResults:': [284], 'No': [285], 'visually': [286], 'perceivable': [287], 'noted.': [290], 'test': [294], 'showed': [295], 'statistical': [297], 'mean': [300, 344, 416], '(DIXON': [303, 319], '6.9±2.6,': [304, 312], '6.7±2.6,': [308], 'MLAA:': [313, 329], '7.1±2.6': [314], '),': [315, 331], 'maximal': [316], '9.7±3.8,': [320, 328], '9.9±3.8,': [324], '10.1±3.8': [330], 'background.': [333], 'With': [334], 'taken': [336], 'reference,': [338], 'individual': [341], 'bias': [342, 387], 'SUVs': [345, 390, 417, 420], 'measured': [346], 'method': [349, 546], '2.95%': [351], '(with': [352, 393], '[MIN,': [353, 394], 'MAX]': [354, 395], '=': [355, 396], '[0,': [356, 397, 406], '5]': [357, 402], '%),': [358, 362, 399, 403], '1.55%': [359], '([-2,': [360, 401], '4]': [361], '6.63%': [364], '([1,': [365], '12]': [366], '%)': [367], 'respectively.': [377], 'same': [380, 383], 'way,': [381], 'order,': [384], 'maximum': [389], '2.5%': [392], '8]': [398], '1.14%': [400], '5.92%': [405], '15]': [407], '%).': [408], 'calculated': [410], 'R2': [411, 440], 'correlation': [412], 'coefficients': [413], 'both': [415], 'max': [419], 'three': [425, 499], 'all': [430], 'range': [433, 444], '0.994—0.999.': [434], 'Even': [435], '0.607—0.846': [445], '0.5±0.1': [451], '[MIN:': [452], '0.27,': [453], 'MAX:': [454], '0.83]': [455], 'found.\n': [457], 'Conclusions:': [459], 'Based': [462], 'these': [464], 'results,': [465], 'case': [468], 'found': [471, 491], 'tissue': [475], 'area': [480], 'values,': [485], 'there': [486], 'significant': [489], 'difference': [490], 'sequentially': [500], 'improved': [501], 'under': [505], 'evaluation.': [506], 'We': [507], 'therefore': [508], 'conclude': [509], 'that': [510], 'compensating': [514], 'did': [520], 'not': [521], 'significantly': [522], 'change': [523], 'tracer': [526], 'quantification.': [528], 'This': [529], 'finding': [530], 'quite': [532], 'reassuring': [533], 'especially': [534], 'serial': [536], 'studies:': [537], 'MR': [538], 'stable': [545], 'independent': [547], 'actual': [550], 'level': [551], 'sophistication.': [553]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W3025242367', 'counts_by_year': [], 'updated_date': '2024-12-13T21:00:52.140296', 'created_date': '2020-05-21'}