001     125646
005     20240228143321.0
024 7 _ |a 10.5152/dir.2015.15304
|2 doi
024 7 _ |a pmid:27015320
|2 pmid
024 7 _ |a pmc:PMC4859734
|2 pmc
024 7 _ |a 1305-3612
|2 ISSN
024 7 _ |a 1305-3825
|2 ISSN
037 _ _ |a DKFZ-2017-01772
041 _ _ |a eng
082 _ _ |a 610
100 1 _ |a Cieciera, Matthaeus
|b 0
245 _ _ |a Semi-automatic 3D-volumetry of liver metastases from neuroendocrine tumors to improve combination therapy with 177Lu-DOTATOC and 90Y-DOTATOC.
260 _ _ |a Ankara
|c 2016
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 1524734451_26071
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
520 _ _ |a Patients with neuroendocrine tumors (NET) often present with disseminated liver metastases and can be treated with a number of different nuclides or nuclide combinations in peptide receptor radionuclide therapy (PRRT) depending on tumor load and lesion diameter. For quantification of disseminated liver lesions, semi-automatic lesion detection is helpful to determine tumor burden and tumor diameter in a time efficient manner. Here, we aimed to evaluate semi-automated measurement of total metastatic burden for therapy stratification.Nineteen patients with liver metastasized NET underwent contrast-enhanced 1.5 T MRI using gadolinium-ethoxybenzyl diethylenetriaminepentaacetic acid. Liver metastases (n=1537) were segmented using Fraunhofer MEVIS Software for three-dimensional (3D) segmentation. All lesions were stratified according to longest 3D diameter >20 mm or ≤20 mm and relative contribution to tumor load was used for therapy stratification.Mean count of lesions ≤20 mm was 67.5 and mean count of lesions >20 mm was 13.4. However, mean contribution to total tumor volume of lesions ≤20 mm was 24%, while contribution of lesions >20 mm was 76%.Semi-automatic lesion analysis provides useful information about lesion distribution in predominantly liver metastasized NET patients prior to PRRT. As conventional manual lesion measurements are laborious, our study shows this new approach is more efficient and less operator-dependent and may prove to be useful in the decision making process selecting the best combination PRRT in each patient.
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,
650 _ 7 |a 177Lu-octreotide, DOTA(0)-Tyr(3)-
|2 NLM Chemicals
650 _ 7 |a 90Y-octreotide, DOTA-Tyr(3)-
|2 NLM Chemicals
650 _ 7 |a Radiopharmaceuticals
|2 NLM Chemicals
650 _ 7 |a gadolinium ethoxybenzyl DTPA
|2 NLM Chemicals
650 _ 7 |a Gadolinium DTPA
|0 K2I13DR72L
|2 NLM Chemicals
650 _ 7 |a Octreotide
|0 RWM8CCW8GP
|2 NLM Chemicals
700 1 _ |a Kratochwil, Clemens
|b 1
700 1 _ |a Moltz, Jan
|b 2
700 1 _ |a Kauczor, Hans Ulrich
|b 3
700 1 _ |a Holland-Letz, Tim
|0 P:(DE-He78)457c042884c901eb0a02c18bb1d30103
|b 4
|u dkfz
700 1 _ |a Choyke, Peter
|b 5
700 1 _ |a Mier, Walter
|b 6
700 1 _ |a Haberkorn, Uwe
|0 P:(DE-He78)13a0afba029f5f64dc18b25ef7499558
|b 7
|u dkfz
700 1 _ |a Giesel, Frederik
|0 P:(DE-He78)5ca7e97b2769bb97f8c73431c6566b94
|b 8
|e Last author
|u dkfz
773 _ _ |a 10.5152/dir.2015.15304
|g Vol. 22, no. 3, p. 201 - 206
|0 PERI:(DE-600)2184145-7
|n 3
|p 201 - 206
|t Diagnostic and interventional radiology
|v 22
|y 2016
|x 1305-3612
909 C O |o oai:inrepo02.dkfz.de:125646
|p VDB
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 4
|6 P:(DE-He78)457c042884c901eb0a02c18bb1d30103
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 7
|6 P:(DE-He78)13a0afba029f5f64dc18b25ef7499558
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 8
|6 P:(DE-He78)5ca7e97b2769bb97f8c73431c6566b94
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 2016
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 JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b DIAGN INTERV RADIOL : 2015
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Thomson Reuters Master Journal List
915 _ _ |a WoS
|0 StatID:(DE-HGF)0111
|2 StatID
|b Science Citation Index Expanded
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
915 _ _ |a IF < 5
|0 StatID:(DE-HGF)9900
|2 StatID
920 1 _ |0 I:(DE-He78)C060-20160331
|k C060
|l Biostatistik
|x 0
920 1 _ |0 I:(DE-He78)E060-20160331
|k E060
|l KKE Nuklearmedizin
|x 1
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-He78)C060-20160331
980 _ _ |a I:(DE-He78)E060-20160331
980 _ _ |a UNRESTRICTED


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21