| 001 | 137610 | ||
| 005 | 20240229105112.0 | ||
| 024 | 7 | _ | |a 10.2967/jnumed.117.200220 |2 doi |
| 024 | 7 | _ | |a pmid:29371410 |2 pmid |
| 024 | 7 | _ | |a 0022-3123 |2 ISSN |
| 024 | 7 | _ | |a 0097-9058 |2 ISSN |
| 024 | 7 | _ | |a 0161-5505 |2 ISSN |
| 024 | 7 | _ | |a 1535-5667 |2 ISSN |
| 024 | 7 | _ | |a 2159-662X |2 ISSN |
| 024 | 7 | _ | |a altmetric:32305943 |2 altmetric |
| 037 | _ | _ | |a DKFZ-2018-01490 |
| 041 | _ | _ | |a eng |
| 082 | _ | _ | |a 610 |
| 100 | 1 | _ | |a Rathke, Hendrik |b 0 |
| 245 | _ | _ | |a Intraindividual Comparison of 99mTc-Methylene Diphosphonate and Prostate-Specific Membrane Antigen Ligand 99mTc-MIP-1427 in Patients with Osseous Metastasized Prostate Cancer. |
| 260 | _ | _ | |a New York, NY |c 2018 |b Soc. |
| 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 1538461028_12288 |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 The objective of this study was to evaluate the rate of detection of bone metastases obtained with the prostate-specific membrane antigen (PSMA)-targeting tracer 99mTc-MIP-1427, as opposed to conventional bone scanning with 99mTc-methylene diphosphonate (99mTc-MDP), in a collective of patients with known advanced-stage osseous metastasized prostate cancer. Methods: Twenty-one patients with known metastatic disease were staged with both conventional bone scanning and PSMA ligand scintigraphy within a time frame of less than 10 d. Imaging included planar whole-body scanning and SPECT or SPECT/CT with 2 bed positions 3 h after injection of either 500-750 MBq of 99mTc-MIP-1427 or 600-750 MBq of 99mTc-MDP. Lesions were scored as typical tumor, equivocal (benign/malignant), or normal within a standard reporting schema divided into defined anatomic regions. Masked and consensus readings were performed with sequential unmasking: planar scans first, then SPECT/CT, the best evaluable comparator (including MRI), PET/CT, and follow-up examinations. Results: Eleven patients had PSMA-positive visceral metastases that were predictably not diagnosed with conventional bone scanning. However, SPECT/CT was required to distinguish between soft-tissue uptake and overlapping bone. Four patients had extensive 99mTc-MDP-negative bone marrow lesions. Seven patients had superscan characteristics on bone scans; in contrast, the extent of red marrow involvement was more evident on PSMA scans. Only 3 patients had equivalent results on bone scans and PSMA scans. In 16 patients, more suspect lesions were detected with PSMA scanning than with bone scanning. In 2 patients (10%), a PSMA-negative tumor phenotype was present. Conclusion: PSMA scanning provided a clear advantage over bone scanning by reducing the number of equivocal findings in most patients. SPECT/CT was pivotal for differentiating bone metastases from extraosseous tumor lesions. |
| 536 | _ | _ | |a 319H - Addenda (POF3-319H) |0 G:(DE-HGF)POF3-319H |c POF3-319H |f POF III |x 0 |
| 588 | _ | _ | |a Dataset connected to CrossRef, PubMed, |
| 700 | 1 | _ | |a Afshar-Oromieh, Ali |b 1 |
| 700 | 1 | _ | |a Giesel, Frederik Lars |b 2 |
| 700 | 1 | _ | |a Kremer, Christophe |b 3 |
| 700 | 1 | _ | |a Flechsig, Paul |b 4 |
| 700 | 1 | _ | |a Haufe, Sabine |b 5 |
| 700 | 1 | _ | |a Mier, Walter |b 6 |
| 700 | 1 | _ | |a Holland-Letz, Tim |0 P:(DE-He78)457c042884c901eb0a02c18bb1d30103 |b 7 |u dkfz |
| 700 | 1 | _ | |a De Bucourt, Maximilian |b 8 |
| 700 | 1 | _ | |a Armor, Thomas |b 9 |
| 700 | 1 | _ | |a Babich, John W |b 10 |
| 700 | 1 | _ | |a Haberkorn, Uwe |0 P:(DE-He78)13a0afba029f5f64dc18b25ef7499558 |b 11 |u dkfz |
| 700 | 1 | _ | |a Kratochwil, Clemens |b 12 |
| 773 | _ | _ | |a 10.2967/jnumed.117.200220 |g Vol. 59, no. 9, p. 1373 - 1379 |0 PERI:(DE-600)2040222-3 |n 9 |p 1373 - 1379 |t Journal of nuclear medicine |v 59 |y 2018 |x 2159-662X |
| 909 | C | O | |o oai:inrepo02.dkfz.de:137610 |p VDB |
| 910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 7 |6 P:(DE-He78)457c042884c901eb0a02c18bb1d30103 |
| 910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 11 |6 P:(DE-He78)13a0afba029f5f64dc18b25ef7499558 |
| 913 | 1 | _ | |a DE-HGF |l Krebsforschung |1 G:(DE-HGF)POF3-310 |0 G:(DE-HGF)POF3-319H |2 G:(DE-HGF)POF3-300 |v Addenda |x 0 |4 G:(DE-HGF)POF |3 G:(DE-HGF)POF3 |b Gesundheit |
| 914 | 1 | _ | |y 2018 |
| 915 | _ | _ | |a JCR |0 StatID:(DE-HGF)0100 |2 StatID |b J NUCL MED : 2015 |
| 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)0199 |2 StatID |b Thomson Reuters 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 |
| 915 | _ | _ | |a IF >= 5 |0 StatID:(DE-HGF)9905 |2 StatID |b J NUCL MED : 2015 |
| 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 |
| Library | Collection | CLSMajor | CLSMinor | Language | Author |
|---|
guest ::