ADC mapping of benign and malignant breast tumors.

PURPOSE The purpose of this study was to investigate the utility of diffusion-weighted imaging (DWI) and the apparent diffusion coefficient (ADC) value in differentiating benign and malignant breast lesions and evaluating the detection accuracy of the cancer extension. MATERIALS AND METHODS We used DWI to obtain images of 191 benign and malignant lesions (24 benign, 167 malignant) before surgical excision. The ADC values of the benign and malignant lesions were compared, as were the values of noninvasive ductal carcinoma (NIDC) and invasive ductal carcinoma (IDC). We also evaluated the ADC map, which represents the distribution of ADC values, and compared it with the cancer extension. RESULTS The mean ADC value of each type of lesion was as follows: malignant lesions, 1.22+/-0.31 x 10(-3) mm2/s; benign lesions, 1.67+/-0.54 x 10(-3) mm2/s; normal tissues, 2.09+/-0.27 x 10(-3) mm2/s. The mean ADC value of the malignant lesions was statistically lower than that of the benign lesions and normal breast tissues. The ADC value of IDC was statistically lower than that of NIDC. The sensitivity of the ADC value for malignant lesions with a threshold of less than 1.6 x 10(-3) mm2/s was 95% and the specificity was 46%. A full 75% of all malignant cases exhibited a near precise distribution of low ADC values on ADC maps to describe malignant lesions. The main causes of false negative and underestimation of cancer spread were susceptibility artifact because of bleeding and tumor structure. Major histologic types of false-positive lesions were intraductal papilloma and fibrocystic diseases. Fibrocystic diseases also resulted in overestimation of cancer extension. CONCLUSIONS DWI has the potential in clinical appreciation to detect malignant breast tumors and support the evaluation of tumor extension. However, the benign proliferative change remains to be studied as it mimics the malignant phenomenon on the ADC map.

[1]  B K Rutt,et al.  Quantitative diffusion imaging in implanted human breast tumors , 1997, Magnetic resonance in medicine.

[2]  B. Boné,et al.  Diagnostic Accuracy of Mammography and Contrast-Enhanced MR Imaging in 238 Histologically Verified Breast Lesions , 1997, Acta radiologica.

[3]  E Grabbe,et al.  Breast carcinoma: effect of preoperative contrast-enhanced MR imaging on the therapeutic approach. , 1999, Radiology.

[4]  K. Noguchi,et al.  Role of diffusion-weighted echo-planar MRI in distinguishing between brain abscess and tumour: a preliminary report , 1999, Neuroradiology.

[5]  Ning-Yu An,et al.  Differentiation of clinically benign and malignant breast lesions using diffusion‐weighted imaging , 2002, Journal of magnetic resonance imaging : JMRI.

[6]  M D Schnall,et al.  Staging of suspected breast cancer: effect of MR imaging and MR-guided biopsy. , 1995, Radiology.

[7]  M Cercignani,et al.  Diffusion tensor magnetic resonance imaging in multiple sclerosis , 2001, Neurology.

[8]  Differentiation between hemangiomas and hepatocellular carcinomas with the apparent diffusion coefficient calculated from turboflash MR images , 1995, Journal of magnetic resonance imaging : JMRI.

[9]  L J van Erning,et al.  MR characterization of suspicious breast lesions with a gadolinium-enhanced TurboFLASH subtraction technique. , 1994, Radiology.

[10]  Shigeru Nawano,et al.  Diffusion-weighted imaging of breast cancer with the sensitivity encoding technique: analysis of the apparent diffusion coefficient value. , 2004, Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine.

[11]  Rachel Brem,et al.  Diffusion imaging of human breast , 1997, NMR in biomedicine.

[12]  M Takahashi,et al.  Focal liver masses: characterization with diffusion-weighted echo-planar MR imaging. , 1997, Radiology.

[13]  L. Schwartz,et al.  MR imaging of the breast in patients with occult primary breast carcinoma. , 1997, Radiology.

[14]  C. Boetes,et al.  False-negative MR imaging of malignant breast tumors , 1997, European Radiology.

[15]  S. Warach,et al.  Pitfalls and potential of clinical diffusion-weighted MR imaging in acute stroke. , 1997, Stroke.

[16]  E. Merkle,et al.  MRI of histologically confirmed mammary carcinoma: clinical relevance of diagnostic procedures for detection of multifocal or contralateral secondary carcinoma. , 1997, Journal of computer assisted tomography.

[17]  H Mumtaz,et al.  Staging of symptomatic primary breast cancer with MR imaging. , 1997, AJR. American journal of roentgenology.

[18]  E. Fishell,et al.  Magnetic resonance imaging in potential postsurgical recurrence of breast cancer: pitfalls and limitations. , 1996, Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes.

[19]  H. Ishizaka,et al.  Diffusion‐weighted EPI of cystic ovarian lesions: Evaluation of cystic contents using apparent diffusion coefficients , 2000, Journal of magnetic resonance imaging : JMRI.

[20]  M E Moseley,et al.  Diffusion-weighted MR imaging of the brain: value of differentiating between extraaxial cysts and epidermoid tumors. , 1990, AJR. American journal of roentgenology.

[21]  Olav Haraldseth,et al.  Measurement of cell density and necrotic fraction in human melanoma xenografts by diffusion weighted magnetic resonance imaging , 2000, Magnetic resonance in medicine.

[22]  E. Grabbe,et al.  Classification of hypervascularized lesions in CE MR imaging of the breast , 2002, European Radiology.

[23]  D B Kopans,et al.  Benign and malignant breast lesions: differentiation with echo-planar MR imaging. , 1995, Radiology.

[24]  W H Perman,et al.  Dynamic sequential 3D gadolinium-enhanced MRI of the whole breast. , 1996, Magnetic resonance imaging.

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

[26]  L. Blumenson,et al.  Angiogenesis and dynamic MR imaging gadolinium enhancement of malignant and benign breast lesions , 1997, Breast Cancer Research and Treatment.

[27]  J F Debatin,et al.  Improved diagnostic accuracy in dynamic contrast enhanced MRI of the breast by combined quantitative and qualitative analysis. , 1998, The British journal of radiology.

[28]  R. Bammer Basic principles of diffusion-weighted imaging. , 2003, European journal of radiology.