Lesion size is a major determinant of the mammographic features of ductal carcinoma in situ: findings from the Sloane project

2010 ◽  
Vol 65 (3) ◽  
pp. 181-184 ◽  
Author(s):  
A. Evans ◽  
K. Clements ◽  
A. Maxwell ◽  
H. Bishop ◽  
A. Hanby ◽  
...  
Keyword(s):  
Ductal Carcinoma In Situ ◽  
Carcinoma In Situ ◽  
Ductal Carcinoma ◽  
Lesion Size ◽  
Major Determinant

scholarly journals Ductal Carcinoma In Situ of the Breast: Should Breast Irradiation Be Routinely Added to Surgical Excision?

2016 ◽  
Vol 12 (4) ◽  
pp. 309-311 ◽  
Author(s):  
William C. Wood
Keyword(s):  
Ductal Carcinoma In Situ ◽  
Carcinoma In Situ ◽  
Ductal Carcinoma ◽  
Treatment Options ◽  
Genomic Analysis ◽  
Surgical Excision ◽  
Lesion Size ◽  
Medical Community ◽  
New Diagnosis

Confusion exists among women with a new diagnosis of ductal carcinoma in situ and their physicians regarding choice of treatment. The press has accused the medical community of overtreatment and found many physicians eager to support or deny the charge. Improvements in treatment delivery have been matched with better definitions of risk on the basis of biology as defined by genomic analysis rather than only lesion size, margins, receptor status, and patient age. Understanding both the risk of a specific ductal carcinoma in situ progressing to invasive breast cancer and the risks of the treatment options allows tailored recommendations.

Can Selective Image-Guided Intraoperative Margin Resection Improve Re-Excision Rates after Lumpectomy in Ductal Carcinoma In Situ of the Breast?

2018 ◽  
Vol 84 (10) ◽  
pp. 1580-1583
Author(s):  
Kelsey Gray ◽  
Reed Ayabe ◽  
Andrew Shover ◽  
Ashkan Moazzez ◽  
Junko Ozao-Choy ◽  
...  
Keyword(s):  
Ductal Carcinoma In Situ ◽  
Carcinoma In Situ ◽  
Ductal Carcinoma ◽  
Breast Conserving Surgery ◽  
Lesion Size ◽  
Invasive Cancer ◽  
Positive Margins ◽  
Cancer Group ◽  
Significant Difference

The rate of positive margins after breast conserving surgery (BCS) can be as high as 50 per cent, and optimal techniques for reducing rates of positive margins are presently debated. Our institution has previously demonstrated low rates of margin re-excision using a standardized approach to intraoperative selective margin excision for patients undergoing BCS. We hypothesized that this approach can be used for patients with ductal carcinoma in situ (DCIS) and can yield similar rates when compared with invasive cancer. We performed a retrospective analysis of women with breast cancer who underwent BCS from January 2012 through July 2016 using our institution's standardized approach to selective margin resection. Of the 152 patients who underwent BCS, there were 30 (20%) with DCIS and 122 (80%) with invasive cancer. There was no statistically significant difference in re-excision rates for DCIS (13.3%) and invasive cancer (13.1%). Notably, the DCIS group had a larger mean lesion size ( P = 0.00009); however, the lesion was visible on ultrasound more often in the invasive cancer group ( P = 0.007). This standardized approach to intraoperative selective margin excision can produce similar rates of margin re-excision for DCIS and invasive cancer and may be a viable option for lowering re-excision rates for patients with DCIS.

scholarly journals Ductal carcinoma in situ: a risk prediction model for the underestimation of invasive breast cancer

2022 ◽  
Vol 8 (1) ◽  
Author(s):  
Ko Woon Park ◽  
Seon Woo Kim ◽  
Heewon Han ◽  
Minsu Park ◽  
Boo-Kyung Han ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Machine Learning ◽  
Logistic Regression ◽  
Ductal Carcinoma In Situ ◽  
Invasive Breast Cancer ◽  
Carcinoma In Situ ◽  
Ductal Carcinoma ◽  
Lesion Size ◽  
High Nuclear Grade

AbstractPatients with a biopsy diagnosis of ductal carcinoma in situ (DCIS) may be diagnosed with invasive breast cancer after excision. We evaluated the preoperative clinical and imaging predictors of DCIS that were associated with an upgrade to invasive carcinoma on final pathology and also compared the diagnostic performance of various statistical models. We reviewed the medical records; including mammography, ultrasound (US), and magnetic resonance imaging (MRI) findings; of 644 patients who were preoperatively diagnosed with DCIS and who underwent surgery between January 2012 and September 2018. Logistic regression and three machine learning methods were applied to predict DCIS underestimation. Among 644 DCIS biopsies, 161 (25%) underestimated invasive breast cancers. In multivariable analysis, suspicious axillary lymph nodes (LNs) on US (odds ratio [OR], 12.16; 95% confidence interval [CI], 4.94–29.95; P < 0.001) and high nuclear grade (OR, 1.90; 95% CI, 1.24–2.91; P = 0.003) were associated with underestimation. Cases with biopsy performed using vacuum-assisted biopsy (VAB) (OR, 0.42; 95% CI, 0.27–0.65; P < 0.001) and lesion size <2 cm on mammography (OR, 0.45; 95% CI, 0.22–0.90; P = 0.021) and MRI (OR, 0.29; 95% CI, 0.09–0.94; P = 0.037) were less likely to be upgraded. No significant differences in performance were observed between logistic regression and machine learning models. Our results suggest that biopsy device, high nuclear grade, presence of suspicious axillary LN on US, and lesion size on mammography or MRI were independent predictors of DCIS underestimation.

Sonographic lesion size of ductal carcinoma in situ as a preoperative predictor for the presence of an invasive focus

2008 ◽  
Vol 98 (1) ◽  
pp. 15-20 ◽  
Author(s):  
Jong Won Lee ◽  
Wonshik Han ◽  
Eunyoung Ko ◽  
Jihyoung Cho ◽  
Eun‐Kyu Kim ◽  
...  
Keyword(s):  
Ductal Carcinoma In Situ ◽  
Carcinoma In Situ ◽  
Ductal Carcinoma ◽  
Lesion Size

Sonographic Findings of Ductal Carcinoma in Situ of the Breast: Comparison with Mammographic Findings

1999 ◽  
Vol 41 (6) ◽  
pp. 1225
Author(s):  
Eung Yeop Kim ◽  
Boo Kyung Han ◽  
Yeon Hyeon Choe ◽  
Seok Jin Nam ◽  
Young Hyeh Ko ◽  
...  
Keyword(s):  
Ductal Carcinoma In Situ ◽  
Carcinoma In Situ ◽  
Ductal Carcinoma
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