Literature DB >> 30316869

A prospective comparative trial of adjunct screening with tomosynthesis or ultrasound in women with mammography-negative dense breasts (ASTOUND-2).

Alberto S Tagliafico1, Giovanna Mariscotti2, Francesca Valdora3, Manuela Durando2, Jacopo Nori4, Daniele La Forgia5, Ilan Rosenberg6, Francesca Caumo7, Nicoletta Gandolfo8, Maria Pia Sormani9, Alessio Signori9, Massimo Calabrese10, Nehmat Houssami11.   

Abstract

BACKGROUND: Increased risk of breast cancer (BC) and increased risk of an interval BC at mammography screening are associated with high mammographic density. Adjunct imaging detects additional BCs not detected at mammography screening in women with dense breasts. AIM: The aim is to estimate the incremental cancer detection rate (CDR) and false-positive recall for each of tomosynthesis and ultrasound, as adjunct screening modalities in women with mammography-negative dense breasts.
METHODS: A multicentre prospective comparative trial of adjunct screening with tomosynthesis or ultrasound in women with mammography-negative dense breasts (ASTOUND-2) recruited asymptomatic women attending Italian breast screening services. All participants had independently interpreted tomosynthesis and ultrasound. Outcomes were ascertained from excision histopathology or completed assessment. Paired binary data were compared using McNemar's test.
RESULTS: We recruited 5300 screening participants with median age of 50 (interquartile range 43-79) years who had negative mammography and dense breasts (April 2015-September 2017). Adjunct screening detected 29 additional BCs (27 invasive, 2 in situ): 12 detected on both tomosynthesis and ultrasound, 3 detected only on tomosynthesis, 14 detected only on ultrasound. Incremental CDR for tomosynthesis (+15 cancers) was 2.83/1000 screens (95% confidence interval [CI]: 1.58-4.67) versus ultrasound (+26 cancers) with an incremental CDR of 4.90/1000 screens (95% CI: 3.21-7.19), P = 0.015. Mean size of these cancers was 14.2 mm (standard deviation: 7.8 mm), and six had nodal metastases. Incremental false-positive recall was 1.22% (95% CI: 0.91%-1.49%) and differed significantly between tomosynthesis (0.30%) and ultrasound (1.0%), P < 0.001.
CONCLUSIONS: Ultrasound detected more BCs but caused more false positives than tomosynthesis, underscoring trade-offs in screening outcomes when adjunct imaging is used for screening dense breasts.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Breast density; Cancer detection; False-positive recall; Population screening; Tomosynthesis; Ultrasound

Mesh:

Year:  2018        PMID: 30316869     DOI: 10.1016/j.ejca.2018.08.029

Source DB:  PubMed          Journal:  Eur J Cancer        ISSN: 0959-8049            Impact factor:   9.162


  21 in total

Review 1.  Digital Breast Tomosynthesis: Concepts and Clinical Practice.

Authors:  Alice Chong; Susan P Weinstein; Elizabeth S McDonald; Emily F Conant
Journal:  Radiology       Date:  2019-05-14       Impact factor: 11.105

Review 2.  [Diagnosis of breast diseases in a certified breast center].

Authors:  Markus Müller-Schimpfle; Nicole Herröder; Petra Hödl
Journal:  Radiologe       Date:  2021-01-06       Impact factor: 0.635

Review 3.  The Impact of Dense Breasts on the Stage of Breast Cancer at Diagnosis: A Review and Options for Supplemental Screening.

Authors:  Paula B Gordon
Journal:  Curr Oncol       Date:  2022-05-17       Impact factor: 3.109

4.  The value of coronal view as a stand-alone assessment in women undergoing automated breast ultrasound.

Authors:  Simone Schiaffino; Licia Gristina; Simona Tosto; Elena Massone; Sara De Giorgis; Alessandro Garlaschi; Alberto Tagliafico; Massimo Calabrese
Journal:  Radiol Med       Date:  2020-07-16       Impact factor: 3.469

5.  Racial/ethnic differences in supplemental imaging for breast cancer screening in women with dense breasts.

Authors:  Charlotte Ezratty; Suzanne Vang; Jordonna Brown; Laurie R Margolies; Lina Jandorf; Jenny J Lin
Journal:  Breast Cancer Res Treat       Date:  2020-05-11       Impact factor: 4.872

Review 6.  Screening Algorithms in Dense Breasts: AJR Expert Panel Narrative Review.

Authors:  Wendie A Berg; Elizabeth A Rafferty; Sarah M Friedewald; Carrie B Hruska; Habib Rahbar
Journal:  AJR Am J Roentgenol       Date:  2020-12-23       Impact factor: 3.959

7.  Influence of Tumor Subtype, Radiological Sign and Prognostic Factors on Tumor Size Discrepancies Between Digital Breast Tomosynthesis and Final Histology.

Authors:  Alessandro Garlaschi; Massimo Calabrese; Federico Zaottini; Simona Tosto; Marco Gipponi; Paola Baccini; Maurizio Gallo; Alberto Stefano Tagliafico
Journal:  Cureus       Date:  2019-10-31

8.  Screening Performance of Digital Breast Tomosynthesis vs Digital Mammography in Community Practice by Patient Age, Screening Round, and Breast Density.

Authors:  Kathryn P Lowry; Rebecca Yates Coley; Diana L Miglioretti; Karla Kerlikowske; Louise M Henderson; Tracy Onega; Brian L Sprague; Janie M Lee; Sally Herschorn; Anna N A Tosteson; Garth Rauscher; Christoph I Lee
Journal:  JAMA Netw Open       Date:  2020-07-01

9.  The P.I.N.K. Study Approach for Supporting Personalized Risk Assessment and Early Diagnosis of Breast Cancer.

Authors:  Michela Franchini; Stefania Pieroni; Edgardo Montrucchio; Jacopo Nori Cucchiari; Cosimo Di Maggio; Enrico Cassano; Brunella Di Nubila; Gian Marco Giuseppetti; Alberto Nicolucci; Gianfranco Scaperrotta; Paolo Belli; Sonia Santicchia; Sabrina Molinaro
Journal:  Int J Environ Res Public Health       Date:  2021-03-02       Impact factor: 3.390

Review 10.  Digital Breast Tomosynthesis: an Overview.

Authors:  Ekta Dhamija; Malvika Gulati; S V S Deo; Ajay Gogia; Smriti Hari
Journal:  Indian J Surg Oncol       Date:  2021-05-15
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.