Uterine cervical carcinoma: comparison of standard and pharmacokinetic analysis of time-intensity curves for assessment of tumor angiogenesis and patient survival.

Dynamic studies of Gd-based contrast agents in magnetic resonance imaging (MRI) are increasingly being used for tumor characterization as well as for therapy response monitoring. Because detailed knowledge regarding the pathophysiological properties, which in turn are responsible for differences in contrast enhancement, remains fairly undetermined, it was the aim of this study to: (a) examine the association of standard and pharmacokinetic analysis of time-intensity curves in dynamic MRI with histomorphological markers of tumor angiogenesis [microvessel density (MVD) and vascular endothelial growth factor (VEGF)]; and (b) determine the ultimate value of a histomorphological and a dynamic MRI approach by the correlation of those data with disease outcome in patients with primary cancer of the uterine cervix. Pharmacokinetic parameters (amplitude, A; exchange rate constant, k21) and standard parameters [the maximum signal intensity increase over baseline (SI-I) and the steepest signal intensity-upslope per second (SI-U/s)] were calculated from a contrast-enhanced dynamic MRI series in 37 patients with biopsy-proven primary cervical cancer. On the surgical whole mount specimens, histomorphological markers of tumor angiogenesis (MVD and VEGF) were compared to MRI-derived parameters. For MRI and histomorphological data, Kaplan-Meier survival curves were calculated and compared using log-rank statistics. A significant association was found between MVD and A (P < 0.01) and SI-I (P < 0.05). No significant relationships were observed between VEGF expression and all dynamic MRI parameters. Kaplan-Meier curves based on k21 and SI-U/s showed that tumors with high k21 and SI-U/s values had a significantly (P < 0.05 and 0.001, respectively) worse disease outcome than did tumors with low k21 and SI-U/s values. None of the histomorphological gold standard markers for assessing tumor angiogenesis (MVD and VEGF) had any significant power to predict patient survival. It is concluded that in patients with uterine cervical cancer: (a) the pathophysiological basis for differences in dynamic MRI is MVD but not VEGF expression; (b) a functional, dynamic MRI approach (both standard and pharmacokinetic analysis) may be better suited to assess angiogenic activity in terms of patient survival than are the current histomorphological-based markers of tumor angiogenesis; and (c) compared with standard analysis, a simple pharmacokinetic analysis of time-intensity curves is not superior to assess MVD or patient survival.

[1]  D L Wiggins,et al.  Tumor angiogenesis as a prognostic factor in cervical carcinoma. , 1995, Gynecologic oncology.

[2]  M. Neeman,et al.  Regulation of angiogenesis by hypoxic stress: from solid tumours to the ovarian follicle , 1997, International journal of experimental pathology.

[3]  K J Wolf,et al.  Rheumatoid arthritis: evaluation of hypervascular and fibrous pannus with dynamic MR imaging enhanced with Gd-DTPA. , 1990, Radiology.

[4]  C. Angeletti,et al.  Relation of neovascularisation to metastasis of non-small-cell lung cancer , 1992, The Lancet.

[5]  L R Schad,et al.  Pharmacokinetic parameters in CNS Gd-DTPA enhanced MR imaging. , 1991, Journal of computer assisted tomography.

[6]  Bing Li,et al.  Inhibition of vascular endothelial growth factor-induced angiogenesis suppresses tumour growth in vivo , 1993, Nature.

[7]  M. Neeman,et al.  Induction of vascular endothelial growth factor expression by hypoxia and by glucose deficiency in multicell spheroids: implications for tumor angiogenesis. , 1995, Proceedings of the National Academy of Sciences of the United States of America.

[8]  G Brix,et al.  Angiogenesis of uterine cervical carcinoma: characterization by pharmacokinetic magnetic resonance parameters and histological microvessel density with correlation to lymphatic involvement. , 1997, Cancer research.

[9]  T. Oostendorp,et al.  Vascularity and perfusion of human gliomas xenografted in the athymic nude mouse. , 1995, British Journal of Cancer.

[10]  M. Neeman,et al.  Stabilization of vascular endothelial growth factor mRNA by hypoxia and hypoglycemia and coregulation with other ischemia-induced genes , 1995, Molecular and cellular biology.

[11]  L D Buadu,et al.  Breast lesions: correlation of contrast medium enhancement patterns on MR images with histopathologic findings and tumor angiogenesis. , 1996, Radiology.

[12]  M. Mitze,et al.  Tumor vascularity--a novel prognostic factor in advanced cervical carcinoma. , 1995, Gynecologic oncology.

[13]  J. Folkman,et al.  Tumor angiogenesis and metastasis--correlation in invasive breast carcinoma. , 1991, The New England journal of medicine.

[14]  M. Volm,et al.  Association of vascular endothelial growth factor expression with intratumoral microvessel density and tumour cell proliferation in human epidermoid lung carcinoma. , 1996, British Journal of Cancer.

[15]  M Kunnen,et al.  Benign and malignant musculoskeletal lesions: dynamic contrast-enhanced MR imaging--parametric "first-pass" images depict tissue vascularization and perfusion. , 1994, Radiology.

[16]  T. Kobayashi,et al.  Dynamic MR imaging in the head and neck. , 1993, Radiology.

[17]  W. J. Lorenz,et al.  Pharmacokinetic Mapping of the Breast: A New Method for Dynamic MR Mammography , 1995, Magnetic resonance in medicine.