000156803 001__ 156803
000156803 005__ 20240229123116.0
000156803 0247_ $$2doi$$a10.3390/cancers12061656
000156803 0247_ $$2pmid$$apmid:32580519
000156803 0247_ $$2altmetric$$aaltmetric:84746137
000156803 037__ $$aDKFZ-2020-01120
000156803 041__ $$aeng
000156803 082__ $$a610
000156803 1001_ $$aMayer, Philipp$$b0
000156803 245__ $$aDiffusion Kurtosis Imaging-A Superior Approach to Assess Tumor-Stroma Ratio in Pancreatic Ductal Adenocarcinoma.
000156803 260__ $$aBasel$$bMDPI$$c2020
000156803 3367_ $$2DRIVER$$aarticle
000156803 3367_ $$2DataCite$$aOutput Types/Journal article
000156803 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1594023806_14741
000156803 3367_ $$2BibTeX$$aARTICLE
000156803 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000156803 3367_ $$00$$2EndNote$$aJournal Article
000156803 520__ $$aExtensive desmoplastic stroma is a hallmark of pancreatic ductal adenocarcinoma (PDAC) and contributes to tumor progression and to the relative resistance of tumor cells towards (radio) chemotherapy. Thus, therapies that target the stroma are under intense investigation. To allow the stratification of patients who would profit from such therapies, non-invasive methods assessing the stroma content in relation to tumor mass are required. In the current prospective study, we investigated the usefulness of diffusion-weighted magnetic resonance imaging (DW-MRI), a radiologic method that measures the random motion of water molecules in tissue, in the assessment of PDAC lesions, and more specifically in the desmoplastic tumor stroma. We made use of a sophisticated DW-MRI approach, the so-called diffusion kurtosis imaging (DKI), which possesses potential advantages over conventional and widely used monoexponential diffusion-weighted imaging analysis (cDWI). We found that the diffusion constant D from DKI is highly negatively correlated with the percentage of tumor stroma, the latter determined by histology. D performed significantly better than the widely used apparent diffusion coefficient (ADC) from cDWI in distinguishing stroma-rich (>50% stroma percentage) from stroma-poor tumors (≤50% stroma percentage). Moreover, we could prove the potential of the diffusion constant D as a clinically useful imaging parameter for the differentiation of PDAC-lesions from non-neoplastic pancreatic parenchyma. Therefore, the diffusion constant D from DKI could represent a valuable non-invasive imaging biomarker for assessment of stroma content in PDAC, which is applicable for the clinical diagnostic of PDAC.
000156803 536__ $$0G:(DE-HGF)POF3-315$$a315 - Imaging and radiooncology (POF3-315)$$cPOF3-315$$fPOF III$$x0
000156803 588__ $$aDataset connected to CrossRef, PubMed,
000156803 7001_ $$aJiang, Yixin$$b1
000156803 7001_ $$0P:(DE-He78)59dfdd0ee0a7f0db81535f0781a3a6d6$$aKuder, Tristan A$$b2$$udkfz
000156803 7001_ $$aBergmann, Frank$$b3
000156803 7001_ $$aKhristenko, Ekaterina$$b4
000156803 7001_ $$aSteinle, Verena$$b5
000156803 7001_ $$aKaiser, Jörg$$b6
000156803 7001_ $$aHackert, Thilo$$b7
000156803 7001_ $$aKauczor, Hans-Ulrich$$b8
000156803 7001_ $$aKlauß, Miriam$$b9
000156803 7001_ $$aGaida, Matthias M$$b10
000156803 773__ $$0PERI:(DE-600)2527080-1$$a10.3390/cancers12061656$$gVol. 12, no. 6, p. 1656 -$$n6$$p1656 $$tCancers$$v12$$x2072-6694$$y2020
000156803 909CO $$ooai:inrepo02.dkfz.de:156803$$pVDB
000156803 9101_ $$0I:(DE-588b)2036810-0$$6P:(DE-He78)59dfdd0ee0a7f0db81535f0781a3a6d6$$aDeutsches Krebsforschungszentrum$$b2$$kDKFZ
000156803 9131_ $$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$$x0
000156803 9141_ $$y2020
000156803 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bCANCERS : 2018$$d2019-12-21
000156803 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2019-12-21
000156803 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2019-12-21
000156803 915__ $$0StatID:(DE-HGF)0310$$2StatID$$aDBCoverage$$bNCBI Molecular Biology Database$$d2019-12-21
000156803 915__ $$0StatID:(DE-HGF)0320$$2StatID$$aDBCoverage$$bPubMed Central$$d2019-12-21
000156803 915__ $$0StatID:(DE-HGF)0501$$2StatID$$aDBCoverage$$bDOAJ Seal$$d2019-12-21
000156803 915__ $$0StatID:(DE-HGF)0500$$2StatID$$aDBCoverage$$bDOAJ$$d2019-12-21
000156803 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bDOAJ : Blind peer review$$d2019-12-21
000156803 915__ $$0LIC:(DE-HGF)CCBYNV$$2V:(DE-HGF)$$aCreative Commons Attribution CC BY (No Version)$$bDOAJ$$d2019-12-21
000156803 915__ $$0StatID:(DE-HGF)0600$$2StatID$$aDBCoverage$$bEbsco Academic Search$$d2019-12-21
000156803 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bASC$$d2019-12-21
000156803 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2019-12-21
000156803 915__ $$0StatID:(DE-HGF)0111$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2019-12-21
000156803 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2019-12-21
000156803 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2019-12-21
000156803 915__ $$0StatID:(DE-HGF)1190$$2StatID$$aDBCoverage$$bBiological Abstracts$$d2019-12-21
000156803 915__ $$0StatID:(DE-HGF)1050$$2StatID$$aDBCoverage$$bBIOSIS Previews$$d2019-12-21
000156803 915__ $$0StatID:(DE-HGF)9905$$2StatID$$aIF >= 5$$bCANCERS : 2018$$d2019-12-21
000156803 915__ $$0StatID:(DE-HGF)0561$$2StatID$$aArticle Processing Charges$$f2019-12-21
000156803 915__ $$0StatID:(DE-HGF)0700$$2StatID$$aFees$$d2019-12-21
000156803 9201_ $$0I:(DE-He78)E020-20160331$$kE020$$lE020 Med. Physik in der Radiologie$$x0
000156803 980__ $$ajournal
000156803 980__ $$aVDB
000156803 980__ $$aI:(DE-He78)E020-20160331
000156803 980__ $$aUNRESTRICTED