• Asian Pacific Journal of Cancer Prevention
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• v.17 no.5
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• pp.2673-2678
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• 2016

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.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.1
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• pp.55-60
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• 2014

Background: Whether sentinel lymph node biopsy (SLNB) should be performed in patients with pure ductal carcinoma in situ (DCIS) of the breast has been a question of debate over the last decade. The aim of this study was to identify factors associated with microinvasive disease and determine the criteria for performing SLNB in patients with DCIS. Materials and Methods: 125 patients with DCIS who underwent surgery between January 2000 and December 2008 were reviewed to identify factors associated with DCIS and DCIS with microinvasion (DCISM). Results: 88 patients (70.4%) had pure DCIS and 37 (29.6%) had DCISM. Among 33 DCIS patients who underwent SLNB, one patient (3.3%) was found to have isolated tumor cells in her biopsy, whereas 1 of 14 (37.8%) patients with DCISM had micrometastasis (7.1%). Similarly, of 16 patients (18.2%) with pure DCIS and axillary lymph node dissection (ALND) without SLNB, none had lymph node metastasis. Furthermore, of 20 patients with DCISM and ALND, only one (5%) had metastasis. In multivariate analysis, the presence of comedo necrosis [relative risk (RR)=4.1, 95% confidence interval (CI)=1.6-10.6, P=0.004], and hormone receptor (ER or PR) negativity (RR=4.0, 95%CI=1.5-11, P=0.007), were found to be significantly associated with microinvasion. Conclusions: Our findings suggest patients presenting with a preoperative diagnosis of DCIS associated with comedo necrosis or hormone receptor negativity are more likely to have a microinvasive component in definitive pathology following surgery, and should be considered for SLNB procedure along with patients who will undergo mastectomy due to DCIS.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.8
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• pp.3733-3736
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• 2016

HER2/neu is a well-established prognostic and predictive factor for invasive breast cancer. However, the role of HER2/neu in ductal breast carcinoma in situ (DCIS) is debated and recent data have suggested that it is mainly linked to in situ local recurrence. Although molecular data suggest that atypical ductal hyperplasia (ADH) and duct carcinoma in situ (DCIS) are related lesions, albeit with vastly different clinical implications, the role of HER2/neu expression in atypical ductal hyperplasia is not well defined either. The aim of this study was to evaluate over expression of HER2/neu in DCIS and cases of ADH in comparison with invasive breast carcinoma. Archival primary breast carcinoma paraffin blocks (n=15), DCIS only (n=10) and ductal epithelial hyperplasia and other breast benign lesions (n=25) were analyzed for HER2/neu immunoexpression. Follow up was available for 40% of the patients. HER2/neu was positive in 80%of both DCIS and invasive carcinoma, and 67% of atypical ductal hyperplasia (ADH) cases. Thus at least a subset of patients with preinvasive breast lesions were positive, which strongly suggests a role for Her2/neu in identifying high-risk patients for malignant transformation. Although these are preliminary data, which need further studies of gene amplification within these patients as well as a larger patient cohort with longer periods of follow up, they support the implementation of routine Her2/neu testing in patients diagnosed as pure DCIS and in florid ADH.

• Radiation Oncology Journal
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• v.32 no.1
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• pp.1-6
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• 2014

Purpose: To evaluate the outcome of ductal carcinoma in situ (DCIS) patients who underwent surgery followed by radiation therapy (RT). Materials and Methods: We retrospectively reviewed 106 DCIS patients who underwent surgery followed by postoperative RT between 1994 and 2006. Ninety-four patients underwent breast-conserving surgery, and mastectomy was performed in 12 patients due to extensive DCIS. Postoperative RT was delivered to whole breast with 50.4 Gy/28 fx. Tumor bed boost was offered to 7 patients (6.6%). Patients with hormonal receptor-positive tumors were treated with hormonal therapy. Results: The median follow-up duration was 83.4 months (range, 33.4 to 191.5 months) and the median age was 47.8 years. Ten patients (9.4%) had resection margin <1 mm and high-grade and estrogen receptor-negative tumors were observed in 39 (36.8%) and 20 (18.9%) patients, respectively. The 7-year ipsilateral breast tumor recurrence (IBTR)-free survival rate was 95.3%. Resection margin (<1 or ${\geq}1$ mm) was the significant prognostic factor for IBTR in univariate and multivariate analyses (p < 0.001 and p = 0.016, respectively). Conclusion: Postoperative RT for DCIS can achieve favorable treatment outcome. Resection margin was the important prognostic factor for IBTR in the DCIS patients who underwent postoperative RT.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.7
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• pp.3179-3183
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• 2014

Background: The purpose of study was to evaluate radiologic or clinical features of breast cancer undergoing ultrasound (US)-guided 14G core needle biopsy (CNB) and analyze the differences between underestimated and accurately diagnosed groups. Materials and Methods: Of 1,898 cases of US-guided 14G CNB in our institute, 233 cases were proven to be cancer by surgical pathology. The pathologic results from CNB were invasive ductal carcinoma (IDC) (n=157), ductal carcinoma in situ (DCIS) (n=40), high-risk lesions in 22 cases, and benign in 14 cases. Among high-risk lesions, 7 cases of atypical ductal hyperplasia (ADH) were reported as cancer and 11 cases of DCIS were proven IDC in surgical pathology. Some 29 DCIS cases and 157 cases of IDC were correctly diagnosed with CNB. The clinical and imaging features between underestimated and accurately diagnosed breast cancers were compared. Results: Of 233 cancer cases, underestimation occurred in 18 lesions (7.7%). Among underestimated cancers, CNB proven ADH (n=2) and DCIS (n=11) were diagnosed as IDC and CNB proven ADH (n=5) were diagnosed at DCIS finally. Among the 186 accurately diagnosed group, the CNB results were IDC (n=157) and DCIS (n=29). Comparison of underestimated and accurately diagnosed groups for BI-RADS category, margin of mass on mammography and US and orientation of lesion on US revealed statistically significant differences. Conclusions: Underestimation of US-guided 14G CNB occurred in 7.7% of breast cancers. Between underestimated and correctly diagnosed groups, BI-RADS category, margin of the mass on mammography and margin and orientation of the lesions on US were different.

• Korean Journal of Radiology
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• v.24 no.12
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• pp.1190-1199
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• 2023

Objective: This study aimed to investigate the feasibility of ultrafast magnetic resonance imaging (MRI) and radiomic features derived from breast MRI for predicting the upstaging of ductal carcinoma in situ (DCIS) diagnosed using percutaneous needle biopsy. Materials and Methods: Between August 2018 and June 2020, 95 patients with 98 DCIS lesions who underwent preoperative breast MRI, including an ultrafast sequence, and subsequent surgery were included. Four ultrafast MRI parameters were analyzed: time-to-enhancement, maximum slope (MS), area under the curve for 60 s after enhancement, and time-to-peak enhancement. One hundred and seven radiomic features were extracted for the whole tumor on the first post-contrast T1WI and T2WI using PyRadiomics. Clinicopathological characteristics, ultrafast MRI findings, and radiomic features were compared between the pure DCIS and DCIS with invasion groups. Prediction models, incorporating clinicopathological, ultrafast MRI, and radiomic features, were developed. Receiver operating characteristic curve analysis and area under the curve (AUC) were used to evaluate model performance in distinguishing between the two groups using leave-one-out cross-validation. Results: Thirty-six of the 98 lesions (36.7%) were confirmed to have invasive components after surgery. Compared to the pure DCIS group, the DCIS with invasion group had a higher nuclear grade (P < 0.001), larger mean lesion size (P = 0.038), larger mean MS (P = 0.002), and different radiomic-related characteristics, including a more extensive tumor volume; higher maximum gray-level intensity; coarser, more complex, and heterogeneous texture; and a greater concentration of high gray-level intensity. No significant differences in AUCs were found between the model incorporating nuclear grade and lesion size (0.687) and the models integrating additional ultrafast MRI and radiomic features (0.680-0.732). Conclusion: High nuclear grade, larger lesion size, larger MS, and multiple radiomic features were associated with DCIS upstaging. However, the addition of MS and radiomic features to the prediction model did not significantly improve the prediction performance.

• CELLMED
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• v.2 no.2
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• pp.18.1-18.16
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• 2012

An oncology-specific database called OncoRx (http://bit.ly/cancerRx) was previously set up in cyberspace to aid clinicians in identifying interactions of anticancer drugs (ACDs) and chemotherapy regimens with traditional Chinese medicines (TCMs) and complementary and alternative medicines (CAMs). Since then, users have requested the drug-CAM interactions (DCIs) of 5 specific CAMs (cranberry, melatonin, co-enzyme Q10, huachansu, reishi mushroom) to be updated in the database. Pharmacokinetic properties (metabolism, enzyme induction/inhibition, elimination), TCM properties and DCIs of each CAM were collated with 117 ACDs using 9 hardcopy compendia and online databases as resources. Additionally, individual ACDs and CAMs were used as keywords for PubMed searches in combination with the terms 'anticancer drugs', 'drug interactions', 'herb-drug/drug-herb interactions', 'pharmacokinetic interactions' and 'pharmacodynamic interactions'. DCI parameters consisted of interaction effects, evidence summaries, proposed management plans and alternative non-interacting CAMs, together with relevant citations and update dates of the DCIs. OncoRx is also used as a case to introduce the "Four Pharmaco-cybernetic Maxims" of quality, quantity, relationship and manner to developers of digital healthcare tools. Its role in Hayne's "5S" hierarchy of research evidence is also presented. OncoRx is meant to complement existing DCI resources for clinicians and alternative medicine practitioners as an additional drug information resource that provides evidence-based DCI information for ACD-CAM interactions.

• Journal of the Korean Society of Radiology
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• v.5 no.3
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• pp.149-154
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• 2011

The purpose of this study was to examine the usefulness of diffusion weighted images in breast MRI by performing a quantitative comparative analysis in patients diagnosed with DCIS. On a 3.0T MR scanner, diffusion weighted images and ADC map images were obtained from 20 patients histologically diagnosed with ductal carcinoma in situ (DCIS). The findings from the quantitative image analysis are the following: The diffusion weighted images showed higher SNR and CNR at the lesion area. In addition, the ADC values were lower at the lesion area.

• The Korean Journal of Nuclear Medicine Technology
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• v.18 no.1
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• pp.140-144
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• 2014

Purpose: The recent surge in breast carcinoma patients is reported in a variety of statistics. Breast cancer occurs mainly from duct and lobulus: 85% is from the breast ducts. The present study is aimed to distinguish the difference in $SUV_{max}$ changing over time by identifying the type of cancers attacking from the duct. Materials and Methods: The subjects of the study are 291 female breast cancer patients who have visited the present PET/CT center from July 1, 2012 to July 23, 2013. Based on the pathological results, 248 IDC (invasive ductal carcinoma) patients and 43 DCIS (ductal carcinoma in situ) patients were selected. In the same manner as the general PET/CT scan (3.7 MBq/Kg), F-FDG was injected, followed by the primary test (Routine tests) after 1 hr, and the secondary test (Delay test) after another hr. $SUV_{max}$ was measured after setting ROI in the lesion based on the data from the two tests. Results: As the comparative result of the change in the lesion $SUV_{max}$ between the two groups, IDC group's $SUV_{max}$ showed M=7.11 and SD=5.405 in the primary test and increased M=7.11 and SD=5.405 in the secondary test (P<0.05); DCIS group's $SUV_{max}$ showed M=2.739, SD=1.229 in the primary test and increased M=2.614, SD=1.470 in the secondary test (P<0.05). Conclusion: As the comparative result of $SUV_{max}$ over time between the groups, IDC showed increased $SUV_{max}$ in the secondary test (Delay test) compared to the primary test (Routine test) (P=0.000); DCIS showed decreased $SUV_{max}$ in the secondary test (Delay test) compared to the primary test (Routine test) (P=0.039). It was confirmed through this study that the change in $SUV_{max}$ has occurred over time by the type of breast cancer (IDC or DCIS) occurring from the breast ducts. However, the onset of breast cancers (ILC, LCIS) from the lobulus was not discussed due to the lack of samples. Future research on the breast cancers from the lobulus is suggested.

• Proceedings of the Korean Information Science Society Conference
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• 2001.10b
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• pp.340-342
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• 2001

본 논문은 유방질환 중에서 Duct(관)에 발생하는 유방 종양을 benign(양성종양)/DCIS (Ductal Carcinoma In Situ)/NOS(Invasive ductal carcinoma)로 자동 분류하기 위한 분류방법을 제안한다. 분류기 생성에서 가장 중요한 단계인 특징 추출단계에서는 wavelet 변환을 적용하였으며, wavelet 변환의 각 depth에 따라 분류기를 생성하여, depth와 생성된 분류기의 분류 정확도와의 상관관계를 비교.분석하였다. 현미경 100배 배율과 400배 배율의 유방 질환 영상을 1, 2, 3, 4단계(depth)의 wavelet 변환을 적용한 후, 분할된 서브밴드에서 GLCM을 이용하여 질감 특징(Entropy, Energy, Contrast, Homogeneity)을 추출하여, 이 특징값들을 조합하여 판별분석에 의해 분류기(classifier)를 생성한 후, 분류 정확도를 검증하였다. Benign/DCIS/NOS를 분류하려면 최소 3단계 이상의 wavelet 변환을 적용해야 하고, 400배 배율 영상보다는 100배 배율의 영상이 더 나은 결과를 보였다.