Literature DB >> 16705731

Predictors of invasive disease in breast cancer when core biopsy demonstrates DCIS only.

Mary F Dillon1, Enda W McDermott, Cecily M Quinn, Ann O'Doherty, Niall O'Higgins, Arnold D K Hill.   

Abstract

BACKGROUND AND OBJECTIVES: Ductal carcinoma in-situ on core biopsy does not preclude invasive disease within the excision specimen, resulting in the need for further axillary surgery. We sought to identify predictors of invasion when DCIS is present on core biopsy.
METHODS: From a database of 895 breast cancer patients, patients with DCIS on core biopsy who had subsequent surgical excision were identified. Their excision pathology and preoperative mammography were correlated with risk of invasion.
RESULTS: Patients (93) with a preoperative diagnosis of DCIS on core biopsy were identified. On excision, 31 patients (33%) had invasive carcinoma and 13 patients (14%) had microinvasion. A preoperative finding of calcification only on mammogram was associated with DCIS on excision (P = 0.014), whereas the presence of other mammographic features increased the risk of invasion. Size > or =5 cm on excision pathology was associated with increased risk of invasion (P = 0.002). Forty-eight percent (n = 11/23) of those diagnosed by ultrasound-guided core biopsy had frank invasion on excision compared to 21% (n = 12/57) diagnosed by stereotactic techniques (P = 0.017).
CONCLUSION: Mammographic features and tumor size can help predict invasion in patients who have DCIS on core biopsy. Patients who have features other than calcification on mammography or have tumor size > or =5 cm should be considered for a sentinel node biopsy. Copyright 2006 Wiley-Liss, Inc.

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Mesh:

Year:  2006        PMID: 16705731     DOI: 10.1002/jso.20445

Source DB:  PubMed          Journal:  J Surg Oncol        ISSN: 0022-4790            Impact factor:   3.454


  30 in total

1.  Sonoelastographic lesion stiffness: preoperative predictor of the presence of an invasive focus in nonpalpable DCIS diagnosed at US-guided needle biopsy.

Authors:  Nariya Cho; Woo Kyung Moon; Jung Min Chang; Ann Yi; Hye Ryoung Koo; Jeong-Seon Park; In Ae Park
Journal:  Eur Radiol       Date:  2011-03-13       Impact factor: 5.315

2.  Intratumoral metabolic heterogeneity predicts invasive components in breast ductal carcinoma in situ.

Authors:  Hai-Jeon Yoon; Yemi Kim; Bom Sahn Kim
Journal:  Eur Radiol       Date:  2015-06-11       Impact factor: 5.315

3.  Can Occult Invasive Disease in Ductal Carcinoma In Situ Be Predicted Using Computer-extracted Mammographic Features?

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

4.  Regression of ductal carcinoma in situ after treatment with acupuncture.

Authors:  Regina Dehen
Journal:  J Altern Complement Med       Date:  2013-03-28       Impact factor: 2.579

Review 5.  Intratumoral Heterogeneity in Ductal Carcinoma In Situ: Chaos and Consequence.

Authors:  Vidya C Sinha; Helen Piwnica-Worms
Journal:  J Mammary Gland Biol Neoplasia       Date:  2018-09-07       Impact factor: 2.673

Review 6.  Ductal carcinoma in situ of breast: update 2019.

Authors:  Sunil S Badve; Yesim Gökmen-Polar
Journal:  Pathology       Date:  2019-08-28       Impact factor: 5.306

7.  Utilization of sentinel lymph node biopsy in patients with ductal carcinoma in situ undergoing mastectomy.

Authors:  Dhruvil R Shah; Robert J Canter; Vijay P Khatri; Richard J Bold; Anthony D Yang; Steve R Martinez
Journal:  Ann Surg Oncol       Date:  2012-09-28       Impact factor: 5.344

8.  The role of breast MR imaging in pre-operative determination of invasive disease for ductal carcinoma in situ diagnosed by needle biopsy.

Authors:  Mariko Goto; Sachiko Yuen; Kentaro Akazawa; Kaori Nishida; Eiichi Konishi; Mariko Kajihara; Nobuhiko Shinkura; Kei Yamada
Journal:  Eur Radiol       Date:  2011-12-30       Impact factor: 5.315

9.  Prediction of Occult Invasive Disease in Ductal Carcinoma in Situ Using Deep Learning Features.

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

10.  Can algorithmically assessed MRI features predict which patients with a preoperative diagnosis of ductal carcinoma in situ are upstaged to invasive breast cancer?

Authors:  Michael R Harowicz; Ashirbani Saha; Lars J Grimm; P Kelly Marcom; Jeffrey R Marks; E Shelley Hwang; Maciej A Mazurowski
Journal:  J Magn Reson Imaging       Date:  2017-02-09       Impact factor: 4.813

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