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

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, Emax/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 Emax/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, Emax/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 Emax/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 Emax/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.

[1]  W. Totty,et al.  Characterization of musculoskeletal masses using dynamic Gd-DTPA enhanced spin-echo MRI. , 1992, Journal of computer assisted tomography.

[2]  L. Denbesten,et al.  Adenocarcinoma of the colon and rectum , 1968, Diseases of the colon and rectum.

[3]  S. Kumar,et al.  Prognostic relevance of microvessel density in colorectal tumours. , 1999, Oncology reports.

[4]  M. Reiser,et al.  Musculoskeletal neoplasms: static and dynamic Gd-DTPA--enhanced MR imaging. , 1989, Radiology.

[5]  P. Sevelda,et al.  Color-coded and spectral Doppler flow in breast carcinomas – Relationship with the tumor microvasculature , 2004, Breast Cancer Research and Treatment.

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

[7]  Y. Chung,et al.  Tumor angiogenesis as a predictor of recurrence in gastric carcinoma. , 1995, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[8]  R. Paola,et al.  Correlation Between Contrast Enhancement in Dynamic Magnetic Resonance Imaging of the Breast and Tumor Angiogenesis , 1994, Investigative radiology.

[9]  R. Kerbel,et al.  Consequences of angiogenesis for tumor progression, metastasis and cancer therapy. , 1995, Anti-cancer drugs.

[10]  R. Paola,et al.  Factor Analysis of Dynamic Magnetic Resonance Imaging in Predicting the Response of Osteosarcoma to Chemotherapy , 1992, Investigative radiology.

[11]  Brian H. Mayall,et al.  Re: Tumor Angiogenesis as a Prognostic Assay for Invasive Ductal Breast Carcinoma , 1995 .

[12]  M V Knopp,et al.  Evaluation of angiogenesis and perfusion of bone marrow lesions: Role of semiquantitative and quantitative dynamic MRI , 1999, Journal of magnetic resonance imaging : JMRI.

[13]  J. Reeders Neoplastic and Inflammatory Diseases of the Colon , 2005 .

[14]  K. Geisinger,et al.  Colorectal adenocarcinoma: staging and histopathology. , 1996, Seminars in roentgenology.

[15]  G Brix,et al.  Recurrent rectal cancer: diagnosis with dynamic MR imaging. , 1993, Radiology.

[16]  J. Folkman,et al.  ISOLATION OF A TUMOR FACTOR RESPONSIBLE , 1970 .

[17]  S. Akiba,et al.  Angiogenesis as an unfavorable prognostic factor in human colorectal carcinoma , 1996, Cancer.

[18]  S. Hong,et al.  Tumor Angiogenesis as a Prognostic Predictor in Colorectal Carcinoma with Special Reference to Mode of Metastasis and Recurrence , 1998, Oncology.

[19]  M. Knopp,et al.  Estimating kinetic parameters from dynamic contrast‐enhanced t1‐weighted MRI of a diffusable tracer: Standardized quantities and symbols , 1999, Journal of magnetic resonance imaging : JMRI.

[20]  W Blumenfeld,et al.  Tumor angiogenesis correlates with metastasis in invasive prostate carcinoma. , 1993, The American journal of pathology.

[21]  J. Weyler,et al.  Prospective study of intratumoral microvessel density, p53 expression and survival in colorectal cancer , 1999, British Journal of Cancer.

[22]  Samuel Hellman,et al.  Important advances in oncology , 1991 .

[23]  D B Kopans,et al.  Dynamic echo-planar imaging of the breast: experience in diagnosing breast carcinoma and correlation with tumor angiogenesis. , 1997, Radiology.

[24]  J. Folkman,et al.  Tumoral vascularity as a prognostic factor in cancer. , 1996, Important advances in oncology.

[25]  A R Padhani,et al.  Probing tumor microvascularity by measurement, analysis and display of contrast agent uptake kinetics , 1997, Journal of magnetic resonance imaging : JMRI.

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

[27]  S. Fox,et al.  Quantification of angiogenesis in solid human tumours: an international consensus on the methodology and criteria of evaluation. , 1996, European journal of cancer.

[28]  J. Pitrelli,et al.  103 ADENOCARCINOMA OF THE COLON AND RECTUM , 2000 .

[29]  J. Folkman,et al.  ISOLATION OF A TUMOR FACTOR RESPONSIBLE FOR ANGIOGENESIS , 1971, The Journal of experimental medicine.

[30]  W T Yuh,et al.  Assessment of tumor microcirculation: A new role of dynamic contrast MR imaging , 1997, Journal of magnetic resonance imaging : JMRI.

[31]  R. Matsubayashi,et al.  Breast masses with peripheral rim enhancement on dynamic contrast-enhanced MR images: correlation of MR findings with histologic features and expression of growth factors. , 2000, Radiology.

[32]  G Brix,et al.  Tumor microcirculation evaluated by dynamic magnetic resonance imaging predicts therapy outcome for primary rectal carcinoma. , 2001, Cancer research.

[33]  A. Padhani,et al.  Reproducibility of dynamic contrast‐enhanced MRI in human muscle and tumours: comparison of quantitative and semi‐quantitative analysis , 2002, NMR in biomedicine.

[34]  J L Evelhoch,et al.  Key factors in the acquisition of contrast kinetic data for oncology , 1999, Journal of magnetic resonance imaging : JMRI.

[35]  R. Gilles,et al.  Assessment of breast cancer recurrence with contrast-enhanced subtraction MR imaging: preliminary results in 26 patients. , 1993, Radiology.

[36]  A. Padhani,et al.  Non‐invasive methods of assessing angiogenesis and their value in predicting response to treatment in colorectal cancer , 2001, The British journal of surgery.