Literature DB >> 15290941

Dynamic MRI in indirect estimation of microvessel density, histologic grade, and prognosis in colorectal adenocarcinomas.

N Tuncbilek1, H M Karakas, S Altaner.   

Abstract

The relations of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) parameters to microvessel density (MVD), histologic grade, and presence of metastasis were evaluated to establish new prognostic indicators in colorectal cancer (CRC). Fast-low angle shot DCE-MRI parameters (time-intensity curves, TICs; maximal relative enhancement within the first minute, E(max/1); maximal relative enhancement of the entire study, Emax; steepest slope of the contrast enhancement curve; and time to peak enhancement) of 21 CRCs (seven Duke stage B, 12 Duke stage C, and two Duke stage D) were retrospectively evaluated and correlated with corresponding postoperative MVD measurements, histologic grades, and presence of metastasis at 2 years. TICs were classified as type A in nine (43%), type B in seven (33%), and type C in five cases (24%). There was a significant difference between TIC types with regard to MVD (p < 0.05-0.001). Time to peak enhancement, steepest slope of TIC, and E(max/1) were strongly correlated with MVD (r = -0.765, p < 0.01; r = 0.681, p < 0.01; r = 0.634, p < 0.01; respectively). MVD, steepest slope of the enhancement curve, E(max/1), and Emax strongly correlated with histologic grade (r = 0.475, p < 0.05; r = 0.683, p < 0.01; r = 0.687, p < 0.01; r = 0.791, p < 0.01; respectively). There was a significant difference between groups of patients with and without metastasis with regard to histologic grade (p < 0.05) and two of the DCE-MRI parameters (p < 0.005 for E(max/1) and p < 0.05 for time to peak enhancement). Discriminant analysis correctly predicted the metastatic occurrence at 2 years in 90.5% of cases using E(max/1) (p < 0.001). Histologic grade resulted in lower rates of discrimination (66.7%; p < 0.05). DCE-MRI parameters may help in the prediction of MVD and histologic grade in CRC and may be used to predict therapeutic outcome.

Entities:  

Mesh:

Substances:

Year:  2004        PMID: 15290941     DOI: 10.1007/s00261-003-0090-2

Source DB:  PubMed          Journal:  Abdom Imaging        ISSN: 0942-8925


  19 in total

1.  Differential diagnosis of nasopharyngeal carcinoma and nasopharyngeal lymphoma based on DCE-MRI and RESOLVE-DWI.

Authors:  Chengru Song; Peng Cheng; Jingliang Cheng; Yong Zhang; Mengtian Sun; Shanshan Xie; Xiaonan Zhang
Journal:  Eur Radiol       Date:  2019-08-01       Impact factor: 5.315

Review 2.  Antiangiogenic therapy for refractory colorectal cancer: current options and future strategies.

Authors:  Rachel Riechelmann; Axel Grothey
Journal:  Ther Adv Med Oncol       Date:  2016-11-10       Impact factor: 8.168

Review 3.  Dynamic Contrast-Enhanced MR Imaging in Head and Neck Cancer: Techniques and Clinical Applications.

Authors:  S Gaddikeri; R S Gaddikeri; T Tailor; Y Anzai
Journal:  AJNR Am J Neuroradiol       Date:  2015-10-01       Impact factor: 3.825

4.  Quantitative and qualitative characterization of vascularization and hemodynamics in head and neck tumors with a 3D magnetic resonance time-resolved echo-shared angiographic technique (TREAT)--initial results.

Authors:  H J Michaely; K A Herrmann; O Dietrich; M F Reiser; S O Schoenberg
Journal:  Eur Radiol       Date:  2006-09-09       Impact factor: 5.315

5.  Rectal cancer: 3D dynamic contrast-enhanced MRI; correlation with microvascular density and clinicopathological features.

Authors:  W W Yao; H Zhang; B Ding; T Fu; H Jia; L Pang; L Song; W Xu; Q Song; K Chen; Z Pan
Journal:  Radiol Med       Date:  2011-02-01       Impact factor: 3.469

6.  SCUBE3 regulation of early lung cancer angiogenesis and metastatic progression.

Authors:  Cheng-Hung Chou; Yi-Fang Cheng; Tiing Yee Siow; Amit Kumar; Konan Peck; Chen Chang
Journal:  Clin Exp Metastasis       Date:  2013-02-19       Impact factor: 5.150

7.  Advanced gastric cancer and perfusion imaging using a multidetector row computed tomography: correlation with prognostic determinants.

Authors:  Huan Zhang; Zilai Pan; Lianjun Du; Chao Yan; Bei Ding; Qi Song; Huawei Ling; Kemin Chen
Journal:  Korean J Radiol       Date:  2008 Mar-Apr       Impact factor: 3.500

8.  Dynamic Contrast Enhanced Magnetic Resonance Imaging in Oncology: Theory, Data Acquisition, Analysis, and Examples.

Authors:  Thomas E Yankeelov; John C Gore
Journal:  Curr Med Imaging Rev       Date:  2009-05-01

9.  Perfusion parameters of dynamic contrast-enhanced magnetic resonance imaging in patients with rectal cancer: correlation with microvascular density and vascular endothelial growth factor expression.

Authors:  Yeo-Eun Kim; Joon Seok Lim; Junjeong Choi; Daehong Kim; Sungmin Myoung; Myeong-Jin Kim; Ki Whang Kim
Journal:  Korean J Radiol       Date:  2013-11-05       Impact factor: 3.500

Review 10.  High-field small animal magnetic resonance oncology studies.

Authors:  Louisa Bokacheva; Ellen Ackerstaff; H Carl LeKaye; Kristen Zakian; Jason A Koutcher
Journal:  Phys Med Biol       Date:  2013-12-30       Impact factor: 3.609

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.