% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@ARTICLE{Mayer:167139,
      author       = {P. Mayer and F. Fritz and M. Koell and S. Skornitzke and F.
                      Bergmann and M. M. Gaida and T. Hackert and K.
                      Maier-Hein$^*$ and F. Laun$^*$ and H.-U. Kauczor and L.
                      Grenacher and M. Klauß and W. Stiller},
      title        = {{A}ssessment of tissue perfusion of pancreatic cancer as
                      potential imaging biomarker by means of {I}ntravoxel
                      incoherent motion {MRI} and {CT} perfusion: correlation with
                      histological microvessel density as ground truth.},
      journal      = {Cancer imaging},
      volume       = {21},
      number       = {1},
      issn         = {1470-7330},
      address      = {London},
      reportid     = {DKFZ-2021-00160},
      pages        = {13},
      year         = {2021},
      abstract     = {The 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.
                      $https://www.drks.de/drks_web/navigate.do?navigationId=trial$
                      . $HTML\&TRIAL_ID=DRKS00022227.$},
      keywords     = {Diffusion magnetic resonance imaging (Other) / Microvessels
                      (Other) / Pancreatic ductal adenocarcinoma (Other) / X-ray
                      computed tomography (Other)},
      cin          = {E230 / E020},
      ddc          = {610},
      cid          = {I:(DE-He78)E230-20160331 / I:(DE-He78)E020-20160331},
      pnm          = {315 - Bildgebung und Radioonkologie (POF4-315)},
      pid          = {G:(DE-HGF)POF4-315},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:33468259},
      doi          = {10.1186/s40644-021-00382-x},
      url          = {https://inrepo02.dkfz.de/record/167139},
}