Home > Publications database > Quantitative dynamic 18F-FDG PET/CT before autologous stem cell transplantation predicts survival in multiple myeloma. > print

001     144102
005     20240229112617.0
024 7 _ |a 10.3324/haematol.2018.213041
|2 doi
024 7 _ |a pmid:30765474
|2 pmid
024 7 _ |a 0390-6078
|2 ISSN
024 7 _ |a 1592-8721
|2 ISSN
037 _ _ |a DKFZ-2019-01652
041 _ _ |a eng
082 _ _ |a 610
100 1 _ |a Sachpekidis, Christos
|0 P:(DE-He78)69d2d5247c019c2a2075502dc11bf0b2
|b 0
|e First author
|u dkfz
245 _ _ |a Quantitative dynamic 18F-FDG PET/CT before autologous stem cell transplantation predicts survival in multiple myeloma.
260 _ _ |a Pavia
|c 2019
|b Ferrata Storti Foundation64433
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1569325792_24997
|2 PUB:(DE-HGF)
|x Letter
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
536 _ _ |a 315 - Imaging and radiooncology (POF3-315)
|0 G:(DE-HGF)POF3-315
|c POF3-315
|f POF III
|x 0
588 _ _ |a Dataset connected to CrossRef, PubMed,
700 1 _ |a Merz, Maximilian
|b 1
700 1 _ |a Kopp-Schneider, Annette
|0 P:(DE-He78)bb6a7a70f976eb8df1769944bf913596
|b 2
|u dkfz
700 1 _ |a Jauch, Anna
|b 3
700 1 _ |a Raab, Marc-Steffen
|b 4
700 1 _ |a Sauer, Sandra
|b 5
700 1 _ |a Hillengass, Jens
|b 6
700 1 _ |a Goldschmidt, Hartmut
|b 7
700 1 _ |a Dimitrakopoulou-Strauss, Antonia
|0 P:(DE-He78)b2df3652dfa3e19d5e96dfc53f44a992
|b 8
|e Last author
|u dkfz
773 _ _ |a 10.3324/haematol.2018.213041
|g p. haematol.2018.213041 -
|0 PERI:(DE-600)2805244-4
|n 9
|p e420-e423
|t Haematologica
|v 104
|y 2019
|x 1592-8721
909 C O |p VDB
|o oai:inrepo02.dkfz.de:144102
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 0
|6 P:(DE-He78)69d2d5247c019c2a2075502dc11bf0b2
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 2
|6 P:(DE-He78)bb6a7a70f976eb8df1769944bf913596
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 8
|6 P:(DE-He78)b2df3652dfa3e19d5e96dfc53f44a992
913 1 _ |a DE-HGF
|l Krebsforschung
|1 G:(DE-HGF)POF3-310
|0 G:(DE-HGF)POF3-315
|2 G:(DE-HGF)POF3-300
|v Imaging and radiooncology
|x 0
|4 G:(DE-HGF)POF
|3 G:(DE-HGF)POF3
|b Gesundheit
914 1 _ |y 2019
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0310
|2 StatID
|b NCBI Molecular Biology Database
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0320
|2 StatID
|b PubMed Central
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0501
|2 StatID
|b DOAJ Seal
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0500
|2 StatID
|b DOAJ
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b DOAJ : Peer review
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
915 _ _ |a WoS
|0 StatID:(DE-HGF)0110
|2 StatID
|b Science Citation Index
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
915 _ _ |a WoS
|0 StatID:(DE-HGF)0111
|2 StatID
|b Science Citation Index Expanded
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1110
|2 StatID
|b Current Contents - Clinical Medicine
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1030
|2 StatID
|b Current Contents - Life Sciences
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
920 1 _ |0 I:(DE-He78)E060-20160331
|k E060
|l KKE Nuklearmedizin
|x 0
920 1 _ |0 I:(DE-He78)C060-20160331
|k C060
|l Biostatistik
|x 1
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-He78)E060-20160331
980 _ _ |a I:(DE-He78)C060-20160331
980 _ _ |a UNRESTRICTED

LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21