000163010 001__ 163010
000163010 005__ 20240229133508.0
000163010 0247_ $$2doi$$a10.1016/j.euo.2020.08.004
000163010 0247_ $$2pmid$$apmid:32873530
000163010 0247_ $$2altmetric$$aaltmetric:89854666
000163010 037__ $$aDKFZ-2020-01803
000163010 041__ $$aeng
000163010 082__ $$a610
000163010 1001_ $$0P:(DE-HGF)0$$aDarr, Christopher$$b0
000163010 245__ $$aThree-dimensional Magnetic Resonance Imaging-based Printed Models of Prostate Anatomy and Targeted Biopsy-proven Index Tumor to Facilitate Patient-tailored Radical Prostatectomy-A Feasibility Study.
000163010 260__ $$aAmsterdam$$bElsevier$$c2022
000163010 3367_ $$2DRIVER$$aarticle
000163010 3367_ $$2DataCite$$aOutput Types/Journal article
000163010 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1654249123_3574
000163010 3367_ $$2BibTeX$$aARTICLE
000163010 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000163010 3367_ $$00$$2EndNote$$aJournal Article
000163010 500__ $$aVolume 5, Issue 3, June 2022, Pages 357-361
000163010 520__ $$aIn this prospective single-center feasibility study, we demonstrate that the use of three-dimensional (3D)-printed prostate models support nerve-sparing radical prostatectomy (RP) and intraoperative frozen sectioning (IFS) in ten men suffering from intermediate- and high-risk prostate cancer (PC), of whom seven harbored pT3 disease. Patient-specific 3D resin models were printed based on preoperative multiparametric magnetic resonance imaging (mpMRI) to provide an exact 3D impression of significant tumor lesions. RP and IFS were planned in a patient-tailored fashion. The 36-region Prostate Imaging Reporting and Data System (PI-RADS) v2.0 scheme was used to compare the MRI/3D print with whole-mount histopathology. In all cases, localization of the index lesion was correctly displayed by MRI and the 3D model. Localization of significant PC lesions correlated significantly (Pearson`s correlation coefficient of 0.88; p <  0.001). In addition, a significant correlation of the width, length, and volume of the tumor and prostate gland, derived from the printed model and histopathology, was found, using Pearson's correlation analyses and Bland-Altman plots. In conclusion, 3D-printed prostate models correlate well with final pathology and can be used to tailor RP. PATIENT SUMMARY: The use of three-dimensional (3D)-printed prostate models based on preoperative magnetic resonance imaging (MRI) may improve prostatectomy outcome. This study confirmed the accuracy of 3D-printed prostates compared with pathology from radical prostatectomy specimens. Thus, MRI-derived 3D-printed prostate models can assist in prostate cancer surgery.
000163010 536__ $$0G:(DE-HGF)POF4-315$$a315 - Bildgebung und Radioonkologie (POF4-315)$$cPOF4-315$$fPOF IV$$x0
000163010 588__ $$aDataset connected to CrossRef, PubMed,
000163010 7001_ $$0P:(DE-HGF)0$$aFinis, Friederike$$b1
000163010 7001_ $$0P:(DE-He78)1042737c83ba70ec508bdd99f0096864$$aWiesenfarth, Manuel$$b2
000163010 7001_ $$aGiganti, Francesco$$b3
000163010 7001_ $$0P:(DE-HGF)0$$aTschirdewahn, Stephan$$b4
000163010 7001_ $$0P:(DE-HGF)0$$aKrafft, Ulrich$$b5
000163010 7001_ $$0P:(DE-HGF)0$$aKesch, Claudia$$b6
000163010 7001_ $$0P:(DE-He78)ea098e4d78abeb63afaf8c25ec6d6d93$$aBonekamp, David$$b7
000163010 7001_ $$0P:(DE-HGF)0$$aForsting, Michael$$b8
000163010 7001_ $$0P:(DE-HGF)0$$aWetter, Axel$$b9
000163010 7001_ $$0P:(DE-HGF)0$$aReis, Henning$$b10
000163010 7001_ $$0P:(DE-HGF)0$$aHadaschik, Boris A$$b11
000163010 7001_ $$0P:(DE-HGF)0$$aHaubold, Johannes$$b12
000163010 7001_ $$0P:(DE-He78)79897f8897ff77676549d9895258a0f2$$aRadtke, Jan Philipp$$b13$$eLast author
000163010 773__ $$0PERI:(DE-600)2945338-0$$a10.1016/j.euo.2020.08.004$$gp. S2588931120301280$$n3$$p357-361$$tEuropean urology oncology$$v5$$x2588-9311$$y2022
000163010 909CO $$ooai:inrepo02.dkfz.de:163010$$pVDB
000163010 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-HGF)0$$aDeutsches Krebsforschungszentrum$$b0$$kDKFZ
000163010 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-HGF)0$$aDeutsches Krebsforschungszentrum$$b1$$kDKFZ
000163010 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)1042737c83ba70ec508bdd99f0096864$$aDeutsches Krebsforschungszentrum$$b2$$kDKFZ
000163010 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-HGF)0$$aDeutsches Krebsforschungszentrum$$b4$$kDKFZ
000163010 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-HGF)0$$aDeutsches Krebsforschungszentrum$$b5$$kDKFZ
000163010 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-HGF)0$$aDeutsches Krebsforschungszentrum$$b6$$kDKFZ
000163010 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)ea098e4d78abeb63afaf8c25ec6d6d93$$aDeutsches Krebsforschungszentrum$$b7$$kDKFZ
000163010 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-HGF)0$$aDeutsches Krebsforschungszentrum$$b8$$kDKFZ
000163010 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-HGF)0$$aDeutsches Krebsforschungszentrum$$b9$$kDKFZ
000163010 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-HGF)0$$aDeutsches Krebsforschungszentrum$$b10$$kDKFZ
000163010 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-HGF)0$$aDeutsches Krebsforschungszentrum$$b11$$kDKFZ
000163010 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-HGF)0$$aDeutsches Krebsforschungszentrum$$b12$$kDKFZ
000163010 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)79897f8897ff77676549d9895258a0f2$$aDeutsches Krebsforschungszentrum$$b13$$kDKFZ
000163010 9131_ $$0G:(DE-HGF)POF4-315$$1G:(DE-HGF)POF4-310$$2G:(DE-HGF)POF4-300$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$aDE-HGF$$bGesundheit$$lKrebsforschung$$vBildgebung und Radioonkologie$$x0
000163010 9141_ $$y2021
000163010 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bEUR UROL ONCOL : 2021$$d2022-11-12
000163010 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2022-11-12
000163010 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2022-11-12
000163010 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2022-11-12
000163010 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2022-11-12
000163010 915__ $$0StatID:(DE-HGF)1110$$2StatID$$aDBCoverage$$bCurrent Contents - Clinical Medicine$$d2022-11-12
000163010 915__ $$0StatID:(DE-HGF)9905$$2StatID$$aIF >= 5$$bEUR UROL ONCOL : 2021$$d2022-11-12
000163010 9201_ $$0I:(DE-He78)ED01-20160331$$kED01$$lDKTK ED ES zentral$$x0
000163010 9201_ $$0I:(DE-He78)C060-20160331$$kC060$$lC060 Biostatistik$$x1
000163010 9201_ $$0I:(DE-He78)E010-20160331$$kE010$$lE010 Radiologie$$x2
000163010 980__ $$ajournal
000163010 980__ $$aVDB
000163010 980__ $$aI:(DE-He78)ED01-20160331
000163010 980__ $$aI:(DE-He78)C060-20160331
000163010 980__ $$aI:(DE-He78)E010-20160331
000163010 980__ $$aUNRESTRICTED