000167139 001__ 167139
000167139 005__ 20240229133531.0
000167139 0247_ $$2doi$$a10.1186/s40644-021-00382-x
000167139 0247_ $$2pmid$$apmid:33468259
000167139 0247_ $$2ISSN$$a1470-7330
000167139 0247_ $$2ISSN$$a1740-5025
000167139 037__ $$aDKFZ-2021-00160
000167139 041__ $$aeng
000167139 082__ $$a610
000167139 1001_ $$aMayer, Philipp$$b0
000167139 245__ $$aAssessment of tissue perfusion of pancreatic cancer as potential imaging biomarker by means of Intravoxel incoherent motion MRI and CT perfusion: correlation with histological microvessel density as ground truth.
000167139 260__ $$aLondon$$c2021
000167139 3367_ $$2DRIVER$$aarticle
000167139 3367_ $$2DataCite$$aOutput Types/Journal article
000167139 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1611238590_29183
000167139 3367_ $$2BibTeX$$aARTICLE
000167139 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000167139 3367_ $$00$$2EndNote$$aJournal Article
000167139 520__ $$aThe aim of this study was to compare intravoxel incoherent motion (IVIM) diffusion weighted (DW) MRI and CT perfusion to assess tumor perfusion of pancreatic ductal adenocarcinoma (PDAC).In this prospective study, DW-MRI and CT perfusion were conducted in nineteen patients with PDAC on the day before surgery. IVIM analysis of DW-MRI was performed and the parameters perfusion fraction f, pseudodiffusion coefficient D*, and diffusion coefficient D were extracted for tumors, upstream, and downstream parenchyma. With a deconvolution-based analysis, the CT perfusion parameters blood flow (BF) and blood volume (BV) were estimated for tumors, upstream, and downstream parenchyma. In ten patients, intratumoral microvessel density (MVDtumor) and microvessel area (MVAtumor) were analyzed microscopically in resection specimens. Correlation coefficients between IVIM parameters, CT perfusion parameters, and histological microvessel parameters in tumors were calculated. Receiver operating characteristic (ROC) analysis was performed for differentiation of tumors and upstream parenchyma.ftumor significantly positively correlated with BFtumor (r = 0.668, p = 0.002) and BVtumor (r = 0.672, p = 0.002). There were significant positive correlations between ftumor and MVDtumor/ MVAtumor (r ≥ 0.770, p ≤ 0.009) as well as between BFtumor and MVDtumor/ MVAtumor (r ≥ 0.697, p ≤ 0.025). Correlation coefficients between ftumor and MVDtumor/ MVAtumor were not significantly different from correlation coefficients between BFtumor and MVDtumor/ MVAtumor (p ≥ 0.400). Moreover, f, BF, BV, and permeability values (PEM) showed excellent performance in distinguishing tumors from upstream parenchyma (area under the ROC curve ≥0.874).The study shows that IVIM derived ftumor and CT perfusion derived BFtumor similarly reflect vascularity of PDAC and seem to be comparably applicable for the evaluation of tumor perfusion for tumor characterization and as potential quantitative imaging biomarker.DRKS, DRKS00022227, Registered 26 June 2020, retrospectively registered. https://www.drks.de/drks_web/navigate.do?navigationId=trial . HTML&TRIAL_ID=DRKS00022227.
000167139 536__ $$0G:(DE-HGF)POF4-315$$a315 - Bildgebung und Radioonkologie (POF4-315)$$cPOF4-315$$fPOF IV$$x0
000167139 588__ $$aDataset connected to CrossRef, PubMed,
000167139 650_7 $$2Other$$aDiffusion magnetic resonance imaging
000167139 650_7 $$2Other$$aMicrovessels
000167139 650_7 $$2Other$$aPancreatic ductal adenocarcinoma
000167139 650_7 $$2Other$$aX-ray computed tomography
000167139 7001_ $$aFritz, Franziska$$b1
000167139 7001_ $$aKoell, Marco$$b2
000167139 7001_ $$aSkornitzke, Stephan$$b3
000167139 7001_ $$aBergmann, Frank$$b4
000167139 7001_ $$aGaida, Matthias M$$b5
000167139 7001_ $$aHackert, Thilo$$b6
000167139 7001_ $$0P:(DE-He78)33c74005e1ce56f7025c4f6be15321b3$$aMaier-Hein, Klaus$$b7$$udkfz
000167139 7001_ $$0P:(DE-He78)b709e6df1ec6b63e5ffad4c8131f6f4d$$aLaun, Frederik$$b8
000167139 7001_ $$aKauczor, Hans-Ulrich$$b9
000167139 7001_ $$aGrenacher, Lars$$b10
000167139 7001_ $$aKlauß, Miriam$$b11
000167139 7001_ $$aStiller, Wolfram$$b12
000167139 773__ $$0PERI:(DE-600)2104862-9$$a10.1186/s40644-021-00382-x$$gVol. 21, no. 1, p. 13$$n1$$p13$$tCancer imaging$$v21$$x1470-7330$$y2021
000167139 909CO $$ooai:inrepo02.dkfz.de:167139$$pVDB
000167139 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)33c74005e1ce56f7025c4f6be15321b3$$aDeutsches Krebsforschungszentrum$$b7$$kDKFZ
000167139 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)b709e6df1ec6b63e5ffad4c8131f6f4d$$aDeutsches Krebsforschungszentrum$$b8$$kDKFZ
000167139 9130_ $$0G:(DE-HGF)POF3-315$$1G:(DE-HGF)POF3-310$$2G:(DE-HGF)POF3-300$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bGesundheit$$lKrebsforschung$$vImaging and radiooncology$$x0
000167139 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
000167139 9141_ $$y2021
000167139 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bCANCER IMAGING : 2018$$d2020-08-29
000167139 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2020-08-29
000167139 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2020-08-29
000167139 915__ $$0StatID:(DE-HGF)0320$$2StatID$$aDBCoverage$$bPubMed Central$$d2020-08-29
000167139 915__ $$0StatID:(DE-HGF)0501$$2StatID$$aDBCoverage$$bDOAJ Seal$$d2020-08-29
000167139 915__ $$0StatID:(DE-HGF)0500$$2StatID$$aDBCoverage$$bDOAJ$$d2020-08-29
000167139 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bDOAJ : Peer review$$d2020-08-29
000167139 915__ $$0LIC:(DE-HGF)CCBYNV$$2V:(DE-HGF)$$aCreative Commons Attribution CC BY (No Version)$$bDOAJ$$d2020-08-29
000167139 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2020-08-29
000167139 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2020-08-29
000167139 915__ $$0StatID:(DE-HGF)1110$$2StatID$$aDBCoverage$$bCurrent Contents - Clinical Medicine$$d2020-08-29
000167139 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2020-08-29
000167139 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2020-08-29
000167139 915__ $$0StatID:(DE-HGF)9900$$2StatID$$aIF < 5$$d2020-08-29
000167139 915__ $$0StatID:(DE-HGF)0561$$2StatID$$aArticle Processing Charges$$d2020-08-29
000167139 915__ $$0StatID:(DE-HGF)0561$$2StatID$$aArticle Processing Charges$$d2020-08-29
000167139 915__ $$0StatID:(DE-HGF)0700$$2StatID$$aFees$$d2020-08-29
000167139 9201_ $$0I:(DE-He78)E230-20160331$$kE230$$lE230 Medizinische Bildverarbeitung$$x0
000167139 9201_ $$0I:(DE-He78)E020-20160331$$kE020$$lE020 Med. Physik in der Radiologie$$x1
000167139 980__ $$ajournal
000167139 980__ $$aVDB
000167139 980__ $$aI:(DE-He78)E230-20160331
000167139 980__ $$aI:(DE-He78)E020-20160331
000167139 980__ $$aUNRESTRICTED