Can Dynamic Gadolinium-enhanced Magnetic Resonance Imaging with Chemical Shift Studies Predict the Status of Adrenal Masses? View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2002-05-21

AUTHORS

Gerhard Prager, Gertraud Heinz-Peer, Christian Passler, Klaus Kaczirek, Martin Schindl, Christian Scheuba, Heinrich Vierhapper, Bruno Niederle

ABSTRACT

Endoscopic adrenalectomy represents the new gold standard in the surgical treatment of benign adrenal lesions up to 6 cm. In some cases lesions larger than 10 cm have been removed laparoscopically to offer the patient the advantages of the minimally invasive technique. The larger the diameter of an adrenal lesion, the greater the probability of malignancy. In a prospective study 130 consecutive patients (88 women, 42 men; mean age 47.8 years) with 137 adrenal lesions earmarked for surgery underwent preoperative gadolinium-enhanced magnetic resonance imaging (MRI) with chemical shift studies (CSS). The aim of this study was to predict the status (benign, borderline, malignant) of adrenal lesions by MRI irrespective of tumor size. There were 14 patients with malignant tumors, 3 had borderline tumors (epithelial tumors with high malignant potential), and the remaining 120 had benign adrenal lesions. Five malignant lesions (36%) had a diameter < 6 cm. MRI correctly predicted 11 of 14 malignant tumors (1 malignant pheochromocytoma and 2 adrenocortical carcinomas had false-negative results), 117 of 120 benign lesions, and 2 of 3 borderline lesions. All but two malignant tumors were operated on using open surgery; 82 (68%) of 120 benign adrenal lesions were treated using the transperitoneal laparoscopic approach. Tumor size alone is not suitable for predicting the status of adrenal lesions. Dynamic gadolinium-enhanced MRI with CSS can predict the status of at least 95% of adrenal lesions. Tumors > 6 cm classified as benign by preoperative MRI may be removed laparoscopically by endocrine surgeons experienced in endoscopic adrenalectomy. More... »

PAGES

958-964

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00268-002-6625-9

DOI

http://dx.doi.org/10.1007/s00268-002-6625-9

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1026082669

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/12016475


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1103", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Clinical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adenoma", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adrenal Gland Neoplasms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adult", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Gadolinium", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Magnetic Resonance Imaging", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Pheochromocytoma", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prospective Studies", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Department of Surgery, Division of\nGeneral Surgery, Section of Endocrine Surgery, University of\nVienna, Medical School, W\u00e4hringer Guertel 18-20, A-1090 Vienna, Austria, AUSTRIA", 
          "id": "http://www.grid.ac/institutes/grid.10420.37", 
          "name": [
            "Department of Surgery, Division of\nGeneral Surgery, Section of Endocrine Surgery, University of\nVienna, Medical School, W\u00e4hringer Guertel 18-20, A-1090 Vienna, Austria, AUSTRIA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Prager", 
        "givenName": "Gerhard", 
        "id": "sg:person.015473654515.13", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015473654515.13"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Radiology, Division of\nSurgical Radiology, University of Vienna, Medical School, W\u00e4hringer Guertel 18-20, A-1090 Vienna,\nAustria, AUSTRIA", 
          "id": "http://www.grid.ac/institutes/grid.10420.37", 
          "name": [
            "Department of Radiology, Division of\nSurgical Radiology, University of Vienna, Medical School, W\u00e4hringer Guertel 18-20, A-1090 Vienna,\nAustria, AUSTRIA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Heinz-Peer", 
        "givenName": "Gertraud", 
        "id": "sg:person.01320114470.47", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01320114470.47"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Surgery, Division of\nGeneral Surgery, Section of Endocrine Surgery, University of\nVienna, Medical School, W\u00e4hringer Guertel 18-20, A-1090 Vienna, Austria, AUSTRIA", 
          "id": "http://www.grid.ac/institutes/grid.10420.37", 
          "name": [
            "Department of Surgery, Division of\nGeneral Surgery, Section of Endocrine Surgery, University of\nVienna, Medical School, W\u00e4hringer Guertel 18-20, A-1090 Vienna, Austria, AUSTRIA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Passler", 
        "givenName": "Christian", 
        "id": "sg:person.01260310313.52", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01260310313.52"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Surgery, Division of\nGeneral Surgery, Section of Endocrine Surgery, University of\nVienna, Medical School, W\u00e4hringer Guertel 18-20, A-1090 Vienna, Austria, AUSTRIA", 
          "id": "http://www.grid.ac/institutes/grid.10420.37", 
          "name": [
            "Department of Surgery, Division of\nGeneral Surgery, Section of Endocrine Surgery, University of\nVienna, Medical School, W\u00e4hringer Guertel 18-20, A-1090 Vienna, Austria, AUSTRIA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kaczirek", 
        "givenName": "Klaus", 
        "id": "sg:person.01163404744.70", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01163404744.70"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Surgery, Division of\nGeneral Surgery, Section of Endocrine Surgery, University of\nVienna, Medical School, W\u00e4hringer Guertel 18-20, A-1090 Vienna, Austria, AUSTRIA", 
          "id": "http://www.grid.ac/institutes/grid.10420.37", 
          "name": [
            "Department of Surgery, Division of\nGeneral Surgery, Section of Endocrine Surgery, University of\nVienna, Medical School, W\u00e4hringer Guertel 18-20, A-1090 Vienna, Austria, AUSTRIA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Schindl", 
        "givenName": "Martin", 
        "id": "sg:person.0603017413.32", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0603017413.32"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Surgery, Division of\nGeneral Surgery, Section of Endocrine Surgery, University of\nVienna, Medical School, W\u00e4hringer Guertel 18-20, A-1090 Vienna, Austria, AUSTRIA", 
          "id": "http://www.grid.ac/institutes/grid.10420.37", 
          "name": [
            "Department of Surgery, Division of\nGeneral Surgery, Section of Endocrine Surgery, University of\nVienna, Medical School, W\u00e4hringer Guertel 18-20, A-1090 Vienna, Austria, AUSTRIA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Scheuba", 
        "givenName": "Christian", 
        "id": "sg:person.0617351314.15", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0617351314.15"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Internal Medicine III,\nDivision of Endocrinology and Metabolism, University of Vienna,\nMedical School, W\u00e4hringer Guertel 18-20, A-1090 Vienna,\nAustria, AUSTRIA", 
          "id": "http://www.grid.ac/institutes/grid.10420.37", 
          "name": [
            "Department of Internal Medicine III,\nDivision of Endocrinology and Metabolism, University of Vienna,\nMedical School, W\u00e4hringer Guertel 18-20, A-1090 Vienna,\nAustria, AUSTRIA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Vierhapper", 
        "givenName": "Heinrich", 
        "id": "sg:person.01326140321.84", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01326140321.84"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Surgery, Division of\nGeneral Surgery, Section of Endocrine Surgery, University of\nVienna, Medical School, W\u00e4hringer Guertel 18-20, A-1090 Vienna, Austria, AUSTRIA", 
          "id": "http://www.grid.ac/institutes/grid.10420.37", 
          "name": [
            "Department of Surgery, Division of\nGeneral Surgery, Section of Endocrine Surgery, University of\nVienna, Medical School, W\u00e4hringer Guertel 18-20, A-1090 Vienna, Austria, AUSTRIA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Niederle", 
        "givenName": "Bruno", 
        "id": "sg:person.014465706030.17", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014465706030.17"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s002689900554", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025119686", 
          "https://doi.org/10.1007/s002689900554"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s004230050215", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014986400", 
          "https://doi.org/10.1007/s004230050215"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02620161", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041547584", 
          "https://doi.org/10.1007/bf02620161"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2002-05-21", 
    "datePublishedReg": "2002-05-21", 
    "description": "Endoscopic adrenalectomy represents the\nnew gold standard in the surgical treatment of benign adrenal lesions\nup to 6 cm. In some cases lesions larger than 10 cm have been removed\nlaparoscopically to offer the patient the advantages of the minimally\ninvasive technique. The larger the diameter of an adrenal lesion, the\ngreater the probability of malignancy. In a prospective study 130\nconsecutive patients (88 women, 42 men; mean age 47.8 years) with 137\nadrenal lesions earmarked for surgery underwent preoperative\ngadolinium-enhanced magnetic resonance imaging (MRI) with chemical\nshift studies (CSS). The aim of this study was to predict the status (benign, borderline, malignant) of\nadrenal lesions by MRI irrespective of tumor size. There were 14\npatients with malignant tumors, 3 had borderline tumors (epithelial\ntumors with high malignant potential), and the remaining 120 had benign\nadrenal lesions. Five malignant lesions (36%) had a diameter < 6\ncm. MRI correctly predicted 11 of 14 malignant tumors (1 malignant\npheochromocytoma and 2 adrenocortical carcinomas had false-negative\nresults), 117 of 120 benign lesions, and 2 of 3 borderline lesions. All\nbut two malignant tumors were operated on using open surgery; 82 (68%)\nof 120 benign adrenal lesions were treated using the transperitoneal\nlaparoscopic approach. Tumor size alone is not suitable for predicting\nthe status of adrenal lesions. Dynamic gadolinium-enhanced MRI with CSS\ncan predict the status of at least 95% of adrenal lesions. Tumors\n> 6 cm classified as benign by preoperative MRI may be removed\nlaparoscopically by endocrine surgeons experienced in endoscopic\nadrenalectomy.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s00268-002-6625-9", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1086446", 
        "issn": [
          "0364-2313", 
          "1432-2323"
        ], 
        "name": "World Journal of Surgery", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "8", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "26"
      }
    ], 
    "keywords": [
      "gadolinium-enhanced magnetic resonance imaging", 
      "magnetic resonance imaging", 
      "dynamic gadolinium-enhanced magnetic resonance (MR) imaging", 
      "benign adrenal lesions", 
      "adrenal lesions", 
      "malignant tumors", 
      "tumor size", 
      "resonance imaging", 
      "preoperative magnetic resonance imaging", 
      "probability of malignancy", 
      "endoscopic adrenalectomy", 
      "surgical treatment", 
      "consecutive patients", 
      "laparoscopic approach", 
      "adrenal masses", 
      "borderline tumors", 
      "open surgery", 
      "endocrine surgeons", 
      "cases lesions", 
      "borderline lesions", 
      "new gold standard", 
      "invasive techniques", 
      "malignant lesions", 
      "benign lesions", 
      "lesions", 
      "tumors", 
      "patients", 
      "gold standard", 
      "adrenalectomy", 
      "surgery", 
      "status", 
      "imaging", 
      "transperitoneal", 
      "malignancy", 
      "surgeons", 
      "study", 
      "treatment", 
      "shift studies", 
      "aim", 
      "CSS", 
      "diameter", 
      "mass", 
      "standards", 
      "size", 
      "technique", 
      "probability", 
      "approach", 
      "advantages", 
      "chemical shift studies", 
      "prospective study 130", 
      "study 130"
    ], 
    "name": "Can Dynamic Gadolinium-enhanced Magnetic Resonance Imaging with Chemical Shift Studies Predict the Status of Adrenal Masses?", 
    "pagination": "958-964", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1026082669"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00268-002-6625-9"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "12016475"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00268-002-6625-9", 
      "https://app.dimensions.ai/details/publication/pub.1026082669"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-01-01T18:12", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220101/entities/gbq_results/article/article_360.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s00268-002-6625-9"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s00268-002-6625-9'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00268-002-6625-9'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00268-002-6625-9'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00268-002-6625-9'


 

This table displays all metadata directly associated to this object as RDF triples.

226 TRIPLES      22 PREDICATES      92 URIs      81 LITERALS      19 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00268-002-6625-9 schema:about N11fd1c045bae4911970373cefc6f7ca8
2 N2995bd26b08742febdd57d08afa24f63
3 N2c1fd6893bce49dcb9e34e937c442f5d
4 N2c9b487ba0794a7b9b1e7cd78fabb032
5 N32e0bbaf700544a2aa9afd3161916c3b
6 N55492342174348269105e8de39906009
7 N6dcd238cf05b478095d5e31f90f37bbd
8 N9cb4d4d677c04e56a46495416f9c280e
9 Nc15eaaa9925248df8d36ecaf004eff91
10 Nc77801c342ad4487abc16b6fe3053506
11 Ncd92d2a676c443f4870cfd3074215cf5
12 Nd8996c9c64354bdd851aa61de918ada8
13 anzsrc-for:11
14 anzsrc-for:1103
15 schema:author Ne1ae17b6b5ce45a5a891dd4085d1bdc7
16 schema:citation sg:pub.10.1007/bf02620161
17 sg:pub.10.1007/s002689900554
18 sg:pub.10.1007/s004230050215
19 schema:datePublished 2002-05-21
20 schema:datePublishedReg 2002-05-21
21 schema:description Endoscopic adrenalectomy represents the new gold standard in the surgical treatment of benign adrenal lesions up to 6 cm. In some cases lesions larger than 10 cm have been removed laparoscopically to offer the patient the advantages of the minimally invasive technique. The larger the diameter of an adrenal lesion, the greater the probability of malignancy. In a prospective study 130 consecutive patients (88 women, 42 men; mean age 47.8 years) with 137 adrenal lesions earmarked for surgery underwent preoperative gadolinium-enhanced magnetic resonance imaging (MRI) with chemical shift studies (CSS). The aim of this study was to predict the status (benign, borderline, malignant) of adrenal lesions by MRI irrespective of tumor size. There were 14 patients with malignant tumors, 3 had borderline tumors (epithelial tumors with high malignant potential), and the remaining 120 had benign adrenal lesions. Five malignant lesions (36%) had a diameter < 6 cm. MRI correctly predicted 11 of 14 malignant tumors (1 malignant pheochromocytoma and 2 adrenocortical carcinomas had false-negative results), 117 of 120 benign lesions, and 2 of 3 borderline lesions. All but two malignant tumors were operated on using open surgery; 82 (68%) of 120 benign adrenal lesions were treated using the transperitoneal laparoscopic approach. Tumor size alone is not suitable for predicting the status of adrenal lesions. Dynamic gadolinium-enhanced MRI with CSS can predict the status of at least 95% of adrenal lesions. Tumors > 6 cm classified as benign by preoperative MRI may be removed laparoscopically by endocrine surgeons experienced in endoscopic adrenalectomy.
22 schema:genre article
23 schema:inLanguage en
24 schema:isAccessibleForFree false
25 schema:isPartOf N1b71781c1539436da2f5760607e85ca3
26 N3b4c9184ff3b48cb87fae046f13661d2
27 sg:journal.1086446
28 schema:keywords CSS
29 adrenal lesions
30 adrenal masses
31 adrenalectomy
32 advantages
33 aim
34 approach
35 benign adrenal lesions
36 benign lesions
37 borderline lesions
38 borderline tumors
39 cases lesions
40 chemical shift studies
41 consecutive patients
42 diameter
43 dynamic gadolinium-enhanced magnetic resonance (MR) imaging
44 endocrine surgeons
45 endoscopic adrenalectomy
46 gadolinium-enhanced magnetic resonance imaging
47 gold standard
48 imaging
49 invasive techniques
50 laparoscopic approach
51 lesions
52 magnetic resonance imaging
53 malignancy
54 malignant lesions
55 malignant tumors
56 mass
57 new gold standard
58 open surgery
59 patients
60 preoperative magnetic resonance imaging
61 probability
62 probability of malignancy
63 prospective study 130
64 resonance imaging
65 shift studies
66 size
67 standards
68 status
69 study
70 study 130
71 surgeons
72 surgery
73 surgical treatment
74 technique
75 transperitoneal
76 treatment
77 tumor size
78 tumors
79 schema:name Can Dynamic Gadolinium-enhanced Magnetic Resonance Imaging with Chemical Shift Studies Predict the Status of Adrenal Masses?
80 schema:pagination 958-964
81 schema:productId N166b9cf6892741c49d82dc68a0b1d58d
82 Naa59fed8ac6045ce89b07e8c6311a48c
83 Nf825719d4f804e37a45595a09cd32b91
84 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026082669
85 https://doi.org/10.1007/s00268-002-6625-9
86 schema:sdDatePublished 2022-01-01T18:12
87 schema:sdLicense https://scigraph.springernature.com/explorer/license/
88 schema:sdPublisher N04aa42f62e184698ba63ce3a171e8bab
89 schema:url https://doi.org/10.1007/s00268-002-6625-9
90 sgo:license sg:explorer/license/
91 sgo:sdDataset articles
92 rdf:type schema:ScholarlyArticle
93 N04aa42f62e184698ba63ce3a171e8bab schema:name Springer Nature - SN SciGraph project
94 rdf:type schema:Organization
95 N071cc8d6e5a14267911d4914652ed1c3 rdf:first sg:person.0603017413.32
96 rdf:rest N6a24156647fb4bc29edaeb8a41854d95
97 N11fd1c045bae4911970373cefc6f7ca8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
98 schema:name Aged
99 rdf:type schema:DefinedTerm
100 N166b9cf6892741c49d82dc68a0b1d58d schema:name dimensions_id
101 schema:value pub.1026082669
102 rdf:type schema:PropertyValue
103 N1b71781c1539436da2f5760607e85ca3 schema:volumeNumber 26
104 rdf:type schema:PublicationVolume
105 N1cfc707cde874b98aa4868872ed1aa99 rdf:first sg:person.014465706030.17
106 rdf:rest rdf:nil
107 N2995bd26b08742febdd57d08afa24f63 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
108 schema:name Adenoma
109 rdf:type schema:DefinedTerm
110 N2c1fd6893bce49dcb9e34e937c442f5d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
111 schema:name Male
112 rdf:type schema:DefinedTerm
113 N2c9b487ba0794a7b9b1e7cd78fabb032 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
114 schema:name Prospective Studies
115 rdf:type schema:DefinedTerm
116 N32e0bbaf700544a2aa9afd3161916c3b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
117 schema:name Pheochromocytoma
118 rdf:type schema:DefinedTerm
119 N3b4c9184ff3b48cb87fae046f13661d2 schema:issueNumber 8
120 rdf:type schema:PublicationIssue
121 N3bbcdfe2e0f14e0b9ced5bd0e6b26a0d rdf:first sg:person.01326140321.84
122 rdf:rest N1cfc707cde874b98aa4868872ed1aa99
123 N55492342174348269105e8de39906009 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
124 schema:name Adult
125 rdf:type schema:DefinedTerm
126 N6a24156647fb4bc29edaeb8a41854d95 rdf:first sg:person.0617351314.15
127 rdf:rest N3bbcdfe2e0f14e0b9ced5bd0e6b26a0d
128 N6dcd238cf05b478095d5e31f90f37bbd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
129 schema:name Female
130 rdf:type schema:DefinedTerm
131 N781b357eda2f4d78992b95dbe9c7599e rdf:first sg:person.01260310313.52
132 rdf:rest N79b31346108d4a239958f25f0fd174f5
133 N79b31346108d4a239958f25f0fd174f5 rdf:first sg:person.01163404744.70
134 rdf:rest N071cc8d6e5a14267911d4914652ed1c3
135 N8a5cef12f70141ab8c2d7d6e70f5e9f0 rdf:first sg:person.01320114470.47
136 rdf:rest N781b357eda2f4d78992b95dbe9c7599e
137 N9cb4d4d677c04e56a46495416f9c280e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
138 schema:name Middle Aged
139 rdf:type schema:DefinedTerm
140 Naa59fed8ac6045ce89b07e8c6311a48c schema:name pubmed_id
141 schema:value 12016475
142 rdf:type schema:PropertyValue
143 Nc15eaaa9925248df8d36ecaf004eff91 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
144 schema:name Humans
145 rdf:type schema:DefinedTerm
146 Nc77801c342ad4487abc16b6fe3053506 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
147 schema:name Gadolinium
148 rdf:type schema:DefinedTerm
149 Ncd92d2a676c443f4870cfd3074215cf5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
150 schema:name Magnetic Resonance Imaging
151 rdf:type schema:DefinedTerm
152 Nd8996c9c64354bdd851aa61de918ada8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
153 schema:name Adrenal Gland Neoplasms
154 rdf:type schema:DefinedTerm
155 Ne1ae17b6b5ce45a5a891dd4085d1bdc7 rdf:first sg:person.015473654515.13
156 rdf:rest N8a5cef12f70141ab8c2d7d6e70f5e9f0
157 Nf825719d4f804e37a45595a09cd32b91 schema:name doi
158 schema:value 10.1007/s00268-002-6625-9
159 rdf:type schema:PropertyValue
160 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
161 schema:name Medical and Health Sciences
162 rdf:type schema:DefinedTerm
163 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
164 schema:name Clinical Sciences
165 rdf:type schema:DefinedTerm
166 sg:journal.1086446 schema:issn 0364-2313
167 1432-2323
168 schema:name World Journal of Surgery
169 schema:publisher Springer Nature
170 rdf:type schema:Periodical
171 sg:person.01163404744.70 schema:affiliation grid-institutes:grid.10420.37
172 schema:familyName Kaczirek
173 schema:givenName Klaus
174 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01163404744.70
175 rdf:type schema:Person
176 sg:person.01260310313.52 schema:affiliation grid-institutes:grid.10420.37
177 schema:familyName Passler
178 schema:givenName Christian
179 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01260310313.52
180 rdf:type schema:Person
181 sg:person.01320114470.47 schema:affiliation grid-institutes:grid.10420.37
182 schema:familyName Heinz-Peer
183 schema:givenName Gertraud
184 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01320114470.47
185 rdf:type schema:Person
186 sg:person.01326140321.84 schema:affiliation grid-institutes:grid.10420.37
187 schema:familyName Vierhapper
188 schema:givenName Heinrich
189 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01326140321.84
190 rdf:type schema:Person
191 sg:person.014465706030.17 schema:affiliation grid-institutes:grid.10420.37
192 schema:familyName Niederle
193 schema:givenName Bruno
194 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014465706030.17
195 rdf:type schema:Person
196 sg:person.015473654515.13 schema:affiliation grid-institutes:grid.10420.37
197 schema:familyName Prager
198 schema:givenName Gerhard
199 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015473654515.13
200 rdf:type schema:Person
201 sg:person.0603017413.32 schema:affiliation grid-institutes:grid.10420.37
202 schema:familyName Schindl
203 schema:givenName Martin
204 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0603017413.32
205 rdf:type schema:Person
206 sg:person.0617351314.15 schema:affiliation grid-institutes:grid.10420.37
207 schema:familyName Scheuba
208 schema:givenName Christian
209 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0617351314.15
210 rdf:type schema:Person
211 sg:pub.10.1007/bf02620161 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041547584
212 https://doi.org/10.1007/bf02620161
213 rdf:type schema:CreativeWork
214 sg:pub.10.1007/s002689900554 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025119686
215 https://doi.org/10.1007/s002689900554
216 rdf:type schema:CreativeWork
217 sg:pub.10.1007/s004230050215 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014986400
218 https://doi.org/10.1007/s004230050215
219 rdf:type schema:CreativeWork
220 grid-institutes:grid.10420.37 schema:alternateName Department of Internal Medicine III, Division of Endocrinology and Metabolism, University of Vienna, Medical School, Währinger Guertel 18-20, A-1090 Vienna, Austria, AUSTRIA
221 Department of Radiology, Division of Surgical Radiology, University of Vienna, Medical School, Währinger Guertel 18-20, A-1090 Vienna, Austria, AUSTRIA
222 Department of Surgery, Division of General Surgery, Section of Endocrine Surgery, University of Vienna, Medical School, Währinger Guertel 18-20, A-1090 Vienna, Austria, AUSTRIA
223 schema:name Department of Internal Medicine III, Division of Endocrinology and Metabolism, University of Vienna, Medical School, Währinger Guertel 18-20, A-1090 Vienna, Austria, AUSTRIA
224 Department of Radiology, Division of Surgical Radiology, University of Vienna, Medical School, Währinger Guertel 18-20, A-1090 Vienna, Austria, AUSTRIA
225 Department of Surgery, Division of General Surgery, Section of Endocrine Surgery, University of Vienna, Medical School, Währinger Guertel 18-20, A-1090 Vienna, Austria, AUSTRIA
226 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...