• Progress in Medical Physics
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• v.21 no.1
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• pp.22-28
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• 2010

To evaluate the potential value of $^1H$ Magnetic resonance spectroscopy (MRS) for detecting and characterizing invasive ductal carcinoma of breast. We conducted $^1H$ Magnetic resonance spectroscopy (MRS), using a 3.0T MR scanner, on 40 patients who were histologically diagnosed to have invasive ductal carcinoma (IDC); tumor areas of the patients were designated as experimental samples, and non-tumor areas as control samples. The peak at 3.2 ppm is characteristically intense and observed in 34 cases of the total 40 invasive ductal carcinoma (sensitivity 86.2%; specificity 100%; positive predictive value 100%; negative predictive value 60%). In constrast peak at 1.3 ppm is characteristically intense and observed in normal breast (sensitivity 86.2%; specificity 100%; positive predictive value 100%; negative predictive value 60%). The study shows that $^1H$ MRS can effectively discriminate invasive ductal carcinoma from normal breast in most cases. It also demonstrates the feasibility of localized in vivo $^1H$ MRS technique as a new diagnostic modality in the detection of breast tumor.

• Journal of Yeungnam Medical Science
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• v.15 no.1
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• pp.151-158
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• 1998

Traditionally posterior shadowing is regarded as a malignant criterion in the evaluation of breast mass by sonogram. But on the basis of our clinical experiences of breast sonogram, we often met a breast mass without posterior shadowing later confirmed breast carcinoma through pathologic examination. For the focus of what character of pathologic breast tissue influence the posterior shadowing in breast sonogram, we analyzed retrospectively the sonographic findings of 26 histologically proven invasive ductal carcinomas. Even though invasive ductal carcinoma is the only one of the many breast cancers, it represents the greater part of breast malignancy. The posterior echo pattern was compared with various histologic characteristics, such as the amount of connective tissue, degree of elastosis, necrosis, gross circumscription, accompanying inflammation, histologic differentiation, and mitotic index. Nine breast masses (35%) demonstrated posterior echo shadowing, while 17 masses (65%) showed enhancement. The tumors with posterior echo shadowing had more abundant connective tissue, increased elastosis, and poorly demarcated margin (p<0.05). Other histologic characteristics are not influence in posterior shadowing with significant in stastically. On the basis of our study, the phenomenon of posterior shadowing by sonogram is difficult to accept as a specific criterion for malignancy. It is only a phenomenon influenced by the amount of connective tissue volume and elastosis.

• Investigative Magnetic Resonance Imaging
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• v.18 no.1
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• pp.43-51
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• 2014

Purpose : To review MR imaging finding of papillary lesion identified as additional suspicious lesion on MR image in women with biopsy-proven breast cancer and to evaluate upgrading rates after subsequent surgical histopathological diagnosis. Materials and Methods: Among 1729 preoperative MR image of women with biopsy proven breast cancer, US-guided CNB-proven 22 papillary lesions from 21 patients, which showed additional suspicious contrast enhancement other than index cancer on MR image, were subjected to the study. Some of these lesions underwent surgery, thus the comparisons between the histopathologic results were able to be compared to the results of US-guided CNB. Also retrospective analysis was done for MR findings of these lesions by BI-RADS MRI lexicon. Results: On MR imaging, 8 mass lesions, 7 non-mass lesions, 7 focus lesions were detected. All of the focus lesion (100%, 7/7) was diagnosed as benign lesion and showed plateau and washout pattern in dynamic MR image. After excisional biopsy, one of 9 benign papilloma (11.1%), 3 of 3 papillary neoplasm with atypia component (100%), 3 of 5 papillary neoplasm (60%) were upgraded to malignancy such as ductal carcinoma in situ (DCIS), invasive ductal carcinoma (IDC), invasive lobular carcinoma (ILC). Conclusion: The MR images of papillary lesions diagnosed by US-guided CNB exhibit no significant differences between malignancy and benign lesion. Also 41.2% of the lesion (7/17) was upgraded after subsequent surgery. Thus all of the papillary lesions require excisional biopsy for definite diagnosis and the MR imaging, it's just not enough by itself.

• Journal of Yeungnam Medical Science
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• v.16 no.2
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• pp.342-346
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• 1999

Background: Delays in breast cancer diagnosis may occur in young women due to a low index of suspicion. The purpose of this study was to compare mammography and breast sonography in detection of breast cancer and to suggest a reasonable guideline for breast cancer screening examination. Materials and Methods: Among 820 patients, 102 patients were under 35 years and 122 patients were above 60 years of age. We reviewed medical records, mammograms and/or ultrasonography of 49 patients under 35 years and 48 patients above 60 years of age with pathologically-proven breast cancer. Pathological reports were as follows Invasive ductal carcinoma(IDC) was present 61.2% of patients in the young age group and ductal carcinoma in situ(DCIS) in 16.3%. IDC was present in 66.6% of the patients in the old age group, and DCIS in 8.33%. We analyzed mammography and ultrasonography to evaluate their usefulness in detecting breast cancer in patients under 35 years and over 60 years of age. Results: The mammographic results are as follows : 1) detection rate of lesion: 83.8%(under 35yrs), 100%(over 60yrs) 2) sensitivity of cancer: 67.6%(under 35yrs), 91.2%(over 60yrs) The ultrasonographic results are as follows : 1) detection rate of lesion: 100% 2) sensitivity of cancer: 87.2%(under 35yrs), 96.7%(over 60yrs) The breast cancer detection rate in women under 35 years old was comparable to that of women above 60 years old in our study. Conclusion: A striking histologic finding in the two groups was a higher incidence of nuclear Grade II and III tumors. This finding correlates with the reported increased incidence of high grade tumors in young women and may correlate with the poorer prognosis of breast cancer in young patients. We conclude that early screening examination is helpful for early detection of breast cancer in women under age 35.

• Journal of the Korean Society of Radiology
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• v.12 no.6
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• pp.755-762
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• 2018

The purpose of this study was to compare the FA(faractional anisotropy) and ADC(apparent diffusion coefficient) values, which were derived from diffusion tensor imaging in breast cancer patients. The diffusion gradient used in this study was derived from quantitative diffusion indices using 20 directions(b-value, 0 and $1,000s/mm^2$). Quantitative analysis was analyzed using Pearson's correction and qualitative analysis using for correction coefficients. As a result, $FA_{min}$, $FA_{mean}$ and $FA_{max}$ were $0.098{\pm}0.065$, $0.302{\pm}0.142$ and $0.634{\pm}0.236$, respectively(p > 0.05). The $ADC_{min}$, $ADC_{mean}$ and $ADC_{max}$ were $0.741{\pm}0.403$, $1.095{\pm}0.394$ and $1.530{\pm}0.447$, respectively(p > 0.05). The $FA_{min}$, $FA_{mean}$, and $FA_{max}$ mean values were $0.132{\pm}0.050$, $0.418{\pm}0.094$, and $0.770{\pm}0.164$ for Category 6 and Kinetic Curve Pattern III, respectively. $ADC_{min}$, $ADC_{mean}$, and $ADC_{max}$ were $0.753{\pm}0.189$, $1.120{\pm}0.236$, and $1.615{\pm}0.372$, respectively. Quantitative analysis showed negative correlation between $ADC_{mean}-FA_{mean}$ and $ADC_{max}-FA_{max}$(p = 0.001, 0.003). The qalitative analysis showed ADC 0.628(p = 0.001), FA 0.620(p = 0.001) in the internal evaluations, ADC 0.677(p = 0.001), FA 0.695(p = 0.001) in external evaluations. In conclusion, based on the morphological examination, time to signal intensity graph is the form of wash-out(pattern III) in the dynamic contrast enhance examination, As a result, the $ADC_{mean}$ $1.120{\pm}0.236$ and $FA_{mean}$ values were $0.032{\pm}0.142$ with a negative correlation (Y=1.44-1.12X). Therefore, If we understand the shape of time to signal intensity graph and the relationship between ADC and FA, It will be a criterion for distinguishing malignant diseases in breast cancer.