BACKGROUND: Diagnosis of ductal carcinoma in situ (DCIS) by core needle biopsy showed a high rate of underestimation of invasiveness, and performing sentinel lymph node biopsy (SLNB) in DCIS patients was controversial. METHODS: We analyzed 340 DCIS patients who were diagnosed by needle biopsies. Final pathology and clinicopathological features were reviewed. Predictors were accessed using the Chi-square test and a binary logistic regression model. RESULTS: The overall DCIS underestimation rate was 42.6%. The underestimation was significantly related to the palpability, mass or calcification by ultrasonography, grade, suspicious microinvasion, and biopsy method in univariate analysis. In multivariate analysis, palpability, ultrasonographic calcification or mass, suspicious microinvasion, and core needle biopsy were independent predictors of underestimation of invasive cancer. In cases with one or no risk predictors, the underestimation rate was 14.3%, whereas, in those with five predictors, it increased to 90.9%. Among 144 invasive cancer patients who underwent axillary staging, 15.4% had node metastasis. CONCLUSIONS: DCIS diagnosed by preoperative needle biopsy has a high probability of underestimation, and 15% of invasive cancer patients have node metastasis. SLNB may be justified in DCIS patients undergoing needle biopsies, and caution should be exercised in omitting SLNB in patients with one or no risk predictors.
BACKGROUND: Diagnosis of ductal carcinoma in situ (DCIS) by core needle biopsy showed a high rate of underestimation of invasiveness, and performing sentinel lymph node biopsy (SLNB) in DCIS patients was controversial. METHODS: We analyzed 340 DCIS patients who were diagnosed by needle biopsies. Final pathology and clinicopathological features were reviewed. Predictors were accessed using the Chi-square test and a binary logistic regression model. RESULTS: The overall DCIS underestimation rate was 42.6%. The underestimation was significantly related to the palpability, mass or calcification by ultrasonography, grade, suspicious microinvasion, and biopsy method in univariate analysis. In multivariate analysis, palpability, ultrasonographic calcification or mass, suspicious microinvasion, and core needle biopsy were independent predictors of underestimation of invasive cancer. In cases with one or no risk predictors, the underestimation rate was 14.3%, whereas, in those with five predictors, it increased to 90.9%. Among 144 invasive cancerpatients who underwent axillary staging, 15.4% had node metastasis. CONCLUSIONS: DCIS diagnosed by preoperative needle biopsy has a high probability of underestimation, and 15% of invasive cancerpatients have node metastasis. SLNB may be justified in DCIS patients undergoing needle biopsies, and caution should be exercised in omitting SLNB in patients with one or no risk predictors.
Authors: Bibo Shi; Lars J Grimm; Maciej A Mazurowski; Jay A Baker; Jeffrey R Marks; Lorraine M King; Carlo C Maley; E Shelley Hwang; Joseph Y Lo Journal: Acad Radiol Date: 2017-05-11 Impact factor: 3.173
Authors: Carlos Chavez de Paz Villanueva; Valentina Bonev; Maheswari Senthil; Naveenraj Solomon; Mark E Reeves; Carlos A Garberoglio; Jukes P Namm; Sharon S Lum Journal: JAMA Surg Date: 2017-11-01 Impact factor: 14.766
Authors: Rui Hou; Lars J Grimm; Maciej A Mazurowski; Jeffrey R Marks; Lorraine M King; Carlo C Maley; Thomas Lynch; Marja van Oirsouw; Keith Rogers; Nicholas Stone; Matthew Wallis; Jonas Teuwen; Jelle Wesseling; E Shelley Hwang; Joseph Y Lo Journal: Radiology Date: 2022-01-04 Impact factor: 29.146
Authors: Bibo Shi; Lars J Grimm; Maciej A Mazurowski; Jay A Baker; Jeffrey R Marks; Lorraine M King; Carlo C Maley; E Shelley Hwang; Joseph Y Lo Journal: J Am Coll Radiol Date: 2018-02-02 Impact factor: 5.532
Authors: Rafael da Silva Sá; Angela Flávia Logullo; Simone Elias; Gil Facina; Vanessa Monteiro Sanvido; Afonso Celso Pinto Nazário Journal: Breast Cancer (Dove Med Press) Date: 2021-06-21
Authors: Suzanne C E Diepstraten; Stephanie M W Y van de Ven; Ruud M Pijnappel; Petra H M Peeters; Maurice A A J van den Bosch; Helena M Verkooijen; Sjoerd G Elias Journal: PLoS One Date: 2013-10-11 Impact factor: 3.240