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RISS 인기검색어
- 검색키워드
- 저자 : Lester Chee Hao Leong (검색결과 2 건)
- 무료
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- 유료
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Leong, Lester Chee Hao,Sim, Llewellyn Shao-Jen,Jara-Lazaro, Ana Richelia,Tan, Puay Hoon Asian Pacific Journal of Cancer Prevention 2016 Asian Pacific journal of cancer prevention Vol.17 No.5
Background: It is unclear as to whether the size ratio elastographic technique is useful for assessing ultrasound-detected ductal carcinoma-in-situ (DCIS) masses since they commonly lack a significant desmoplastic reaction. The objectives of this study were to determine the accuracy of this elastographic technique in DCIS and examine if there was any histopathological correlation with the grey-scale strain patterns. Materials and Methods: Female patients referred to the radiology department for image-guided breast biopsy were prospectively evaluated by ultrasound elastography prior to biopsy. Histological diagnosis was the gold standard. An elastographic size ratio of more than 1.1 was considered malignant. Elastographic strain patterns were assessed for correlation with the DCIS histological architectural patterns and nuclear grade. Results: There were 30 DCIS cases. Elastographic sensitivity for detection of malignancy was 86.7% (26/30). 10/30 (33.3%) DCIS masses demonstrated predominantly white elastographic strain patterns while 20/30 (66.7%) were predominantly black. There were 3 (10.0%) DCIS masses that showed had a co-existent bull's-eye sign and 7 (23.3%) other masses had a co-existent toothpaste sign, a strain pattern that has never been reported in the literature. Four out of 4/5 comedo DCIS showed a predominantly white strain pattern (p=0.031) while 6/7 cases with the toothpaste sign were papillary DCIS (p=0.031). There was no relationship between the strain pattern and the DCIS nuclear grade. Conclusions: The size ratio elastographic technique was found to be very sensitive for ultrasound-detected DCIS masses. While the elastographic grey-scale strain pattern should not be used for diagnostic purposes, it correlated well with the DCIS architecture.
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Geok Hoon Lim,Sze Yiun Teo,John Carson Allen,Jubal Pallavi Chinthala,Lester Chee Hao Leong 한국유방암학회 2019 Journal of breast cancer Vol.22 No.1
Purpose: The Z0011 trial showed that axillary lymph node dissection (ALND) can be safely avoided in breast cancer patients with low nodal burden (LNB). ALND can be performed in patients with high nodal burden (HNB). We aimed to determine whether HNB in early breast cancer patients can be predicted preoperatively to avoid sentinel lymph node biopsy (SLNB). Methods: Early invasive breast cancer patients (cT1-2cN0) were retrospectively reviewed. We excluded patients with neoadjuvant chemotherapy and incomplete data. The patients were divided into the following groups based on surgical histology: no positive (N0), LNB, and HNB, defined as 0, 1–2, and ≥ 3 metastatic lymph nodes (LNs), respectively. Of the patients with metastatic nodal disease, only those with ALND were included in the analysis. Clinical, radiological, and histological parameters were evaluated using logistic regression analysis as predictors of HNB versus LNB and N0 combined. Results: Of the 1,298 included patients, 832 (64.1%), 286 (22.0%), and 180 (13.9%) had N0, LNB, and HNB, respectively. Univariate logistic regression analysis revealed that sonographic features of breast tumor size (p < 0.0001), number of abnormal LNs (p < 0.0001), cortical thickness (p = 0.0002), effacement of the fatty hilum (p < 0.0001), and needle biopsy being performed (p < 0.0001) were indicators of HNB. Breast tumor grade (p = 0.0001) and human epidermal growth factor receptor 2 status (p = 0.0262) were also statistically significant. Among these significant features, multivariable stepwise logistic regression showed that the number of abnormal LNs is the sole independent predictor of HNB (p < 0.0001, area under the curve = 0.774). The positive predictive value of HNB in patients with ≥ 4 abnormal LNs was 92.9%. Conclusion: The detection of ≥ 4 abnormal LNs on ultrasound can help to identify HNB patients who require upfront ALND and thus avoid SLNB.
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