BACKGROUND: To define a threshold value of apparent diffusion coefficient (ADC) with which malignant breast lesions can be distinguished from benign lesions, and to evaluate the ADC change of peri-tumor tissue in breast carcinoma by echo planar-diffusion weighted imaging (EPI-DWI). METHODS: 57 breast lesions were scanned by routine MRI and EPI-DWI. The ADC values were compared between malignant and benign lesions. The sensitivity and specificity of EPI-DWI and the threshold ADC value were evaluated by Receiver Operating Characteristic curve (ROC). The ADC values of malignant lesion and layered peri-tumor tissues (from innermost layer 1 to outermost layer 4 with 5 mm every layer) in different directions were compared and the ADC values among different layers were compared. RESULTS: The ADC value of 35 malignant lesions was statistically lower than that of 22 benign lesions (P < 0.05). In ROC curve, the threshold value was 1.24 +/- 0.25*10E-3 mm(2)/s (b = 500) or 1.20 +/- 0.25*10E-3 mm(2)/s (b = 1000). The ADC value of malignant lesions was statistically lower than that of peri-tumor tissues in different directions (P < 0.05). For peri-tumor tissues, the ADC values increased gradually from layer 1 to layer 4 and there was a significant difference between the ADC values of layer 1 and layer 2 (P < 0.05); while from layer 2 outwards, there was no statistical difference among different layers. CONCLUSION: ADC value was a sensitive and specific parameter that could help to differentiate benign and malignant breast lesions. ADC changes in tissues adjacent to breast carcinoma could be detected by EPI-DWI, which made EPI-DWI a promising method for helping to determine surgical scope of breast carcinoma.
BACKGROUND: To define a threshold value of apparent diffusion coefficient (ADC) with which malignant breast lesions can be distinguished from benign lesions, and to evaluate the ADC change of peri-tumor tissue in breast carcinoma by echo planar-diffusion weighted imaging (EPI-DWI). METHODS: 57 breast lesions were scanned by routine MRI and EPI-DWI. The ADC values were compared between malignant and benign lesions. The sensitivity and specificity of EPI-DWI and the threshold ADC value were evaluated by Receiver Operating Characteristic curve (ROC). The ADC values of malignant lesion and layered peri-tumor tissues (from innermost layer 1 to outermost layer 4 with 5 mm every layer) in different directions were compared and the ADC values among different layers were compared. RESULTS: The ADC value of 35 malignant lesions was statistically lower than that of 22 benign lesions (P < 0.05). In ROC curve, the threshold value was 1.24 +/- 0.25*10E-3 mm(2)/s (b = 500) or 1.20 +/- 0.25*10E-3 mm(2)/s (b = 1000). The ADC value of malignant lesions was statistically lower than that of peri-tumor tissues in different directions (P < 0.05). For peri-tumor tissues, the ADC values increased gradually from layer 1 to layer 4 and there was a significant difference between the ADC values of layer 1 and layer 2 (P < 0.05); while from layer 2 outwards, there was no statistical difference among different layers. CONCLUSION: ADC value was a sensitive and specific parameter that could help to differentiate benign and malignant breast lesions. ADC changes in tissues adjacent to breast carcinoma could be detected by EPI-DWI, which made EPI-DWI a promising method for helping to determine surgical scope of breast carcinoma.
Authors: J Kim; H A Reber; S M Dry; D Elashoff; S L Chen; N Umetani; M Kitago; O J Hines; K K Kazanjian; S Hiramatsu; A J Bilchik; S Yong; M Shoup; D S B Hoon Journal: Gut Date: 2006-05-08 Impact factor: 23.059
Authors: Charles Kunos; Larry Latson; Beth Overmoyer; Paula Silverman; Robert Shenk; Timothy Kinsella; Janice Lyons Journal: Breast J Date: 2006 Jan-Feb Impact factor: 2.431
Authors: P Mürtz; M Tsesarskiy; A Kowal; F Träber; J Gieseke; W A Willinek; C C Leutner; A Schmiedel; H H Schild Journal: Eur Radiol Date: 2014-06-05 Impact factor: 5.315
Authors: Till-Alexander Heusner; Sherko Kuemmel; Angela Koeninger; Monia E Hamami; Steffen Hahn; Anton Quinsten; Andreas Bockisch; Michael Forsting; Thomas Lauenstein; Gerald Antoch; Alexander Stahl Journal: Eur J Nucl Med Mol Imaging Date: 2010-03-04 Impact factor: 9.236