Literature DB >> 34766844

Malignancy Upgrade Rates of Radial Sclerosing Lesions at Breast Cancer Screening.

Pamela Yan1, Linda DeMello1, Grayson L Baird1, Ana P Lourenco1.   

Abstract

Purpose To determine the upgrade rate for biopsy-proven radial scars and radial sclerosing lesions (RS). Materials and Methods In this retrospective study, radiology and pathology databases from two tertiary breast centers were searched to identify patients with biopsy-confirmed RS between March 1, 2012, and December 31, 2017, during which all mammography was performed with digital breast tomosynthesis (DBT). Adjunct modalities such as MRI or US are performed at our centers to better characterize lesions identified at DBT. Patient demographics, imaging, needle and excisional biopsies, and follow-up data were collected at the patient level. Clopper-Pearson interval estimate for upgrade was calculated for 95% confidence using PropCIs package with R version 4.1.0 (R Foundation for Statistical Computing) (1). Results During the study period, a total of 155 885 DBT examinations were performed. From these examinations, 146 biopsy-proven RS were identified in 142 women (median age, 58 years; age range, 26-87 years). A total of 80.1% (117 of 146) of all RS did not have associated atypia or malignancy, and 19.9% (29 of 146) had associated atypia at initial biopsy. A total of 66.7% (78 of 117) of RS without atypia or malignancy were surgically excised, 25.6% (30 of 117) were followed (median, 3 years; range, 1-7 years) with benign findings on imaging, and 7.7% (nine of 117) were lost to follow-up. The rate of malignancy upgrade was 0.9% (one of 117 [95% CI: 0.02, 4.7]); one RS without concurrent atypia or malignancy demonstrated invasive carcinoma at surgical excision. Conclusion RS without atypia had a low upgrade rate. Keywords: Mammography, Breast © RSNA, 2021.

Entities:  

Keywords:  Breast; Mammography

Mesh:

Year:  2021        PMID: 34766844      PMCID: PMC8637224          DOI: 10.1148/rycan.2021210036

Source DB:  PubMed          Journal:  Radiol Imaging Cancer        ISSN: 2638-616X


  37 in total

1.  Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

Authors:  Paul A Harris; Robert Taylor; Robert Thielke; Jonathon Payne; Nathaniel Gonzalez; Jose G Conde
Journal:  J Biomed Inform       Date:  2008-09-30       Impact factor: 6.317

2.  Diagnostic accuracy of digital breast tomosynthesis versus digital mammography for benign and malignant lesions in breasts: a meta-analysis.

Authors:  Junqiang Lei; Pin Yang; Li Zhang; Yinzhong Wang; Kehu Yang
Journal:  Eur Radiol       Date:  2014-03       Impact factor: 5.315

3.  Adoption of Digital Breast Tomosynthesis in Clinical Practice.

Authors:  Ilana B Richman; Jessica R Hoag; Xiao Xu; Howard P Forman; Regina Hooley; Susan H Busch; Cary P Gross
Journal:  JAMA Intern Med       Date:  2019-09-01       Impact factor: 21.873

4.  An audit of mammographic screen detected lesions of uncertain malignant potential (B3) diagnosed on initial image guided needle biopsy: how has our practice changed over 10 years?

Authors:  B Batohi; C Fang; M J Michell; J Morel; C Shah; S Wijesuriya; C Peacock; R Rahim; R Wasan; J Goligher; K Satchithananda
Journal:  Clin Radiol       Date:  2019-05-09       Impact factor: 2.350

5.  Digital breast tomosynthesis in the analysis of fat-containing lesions.

Authors:  Phoebe E Freer; Jessica L Wang; Elizabeth A Rafferty
Journal:  Radiographics       Date:  2014 Mar-Apr       Impact factor: 5.333

Review 6.  Tomosynthesis-detected Architectural Distortion: Management Algorithm with Radiologic-Pathologic Correlation.

Authors:  Melissa A Durand; Steven Wang; Regina J Hooley; Madhavi Raghu; Liane E Philpotts
Journal:  Radiographics       Date:  2016 Mar-Apr       Impact factor: 5.333

Review 7.  Radial Scars of the Breast Encountered at Core Biopsy: Review of Histologic, Imaging, and Management Considerations.

Authors:  Michael A Cohen; Mary S Newell
Journal:  AJR Am J Roentgenol       Date:  2017-08-16       Impact factor: 3.959

8.  Integration of 3D digital mammography with tomosynthesis for population breast-cancer screening (STORM): a prospective comparison study.

Authors:  Stefano Ciatto; Nehmat Houssami; Daniela Bernardi; Francesca Caumo; Marco Pellegrini; Silvia Brunelli; Paola Tuttobene; Paola Bricolo; Carmine Fantò; Marvi Valentini; Stefania Montemezzi; Petra Macaskill
Journal:  Lancet Oncol       Date:  2013-04-25       Impact factor: 41.316

9.  Effect of integrating 3D-mammography (digital breast tomosynthesis) with 2D-mammography on radiologists' true-positive and false-positive detection in a population breast screening trial.

Authors:  Daniela Bernardi; Francesca Caumo; Petra Macaskill; Stefano Ciatto; Marco Pellegrini; Silvia Brunelli; Paola Tuttobene; Paola Bricolo; Carmine Fantò; Marvi Valentini; Stefania Montemezzi; Nehmat Houssami
Journal:  Eur J Cancer       Date:  2014-02-28       Impact factor: 9.162

10.  False positives in breast cancer screening with one-view breast tomosynthesis: An analysis of findings leading to recall, work-up and biopsy rates in the Malmö Breast Tomosynthesis Screening Trial.

Authors:  Kristina Lång; Matilda Nergården; Ingvar Andersson; Aldana Rosso; Sophia Zackrisson
Journal:  Eur Radiol       Date:  2016-03-04       Impact factor: 5.315

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