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Can digital breast tomosynthesis perform better than standard digital mammography work-up in breast cancer assessment clinic?

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Abstract

Purpose

To compare the efficacy of use of digital breast tomosynthesis (DBT) with standard digital mammography (DM) workup views in the breast cancer assessment clinic.

Materials and methods

The Tomosynthesis Assessment Clinic trial (TACT), conducted between 16 October 2014 and 19 April 2016, is an ethics-approved, monocenter, multireader, multicase split-plot reading study. After written informed consent was obtained, 144 females (age > 40 years) who were recalled to the assessment clinic were recruited into TACT. These cases (48 cancers) were randomly allocated for blinded review of (1) DM workup and (2) DBT, both in conjunction with previous DM from the screening examination. Fifteen radiologists of varying experience levels in the Australia BreastScreen Program were included in this study, wherein each radiologist read 48 cases (16 cancers) in 3 non-overlapping blocks. Diagnostic accuracy was measured by means of sensitivity, specificity, and positive (PPV) and negative predictive values (NPV). The receiver-operating characteristic area under the curve (AUC) was calculated to determine radiologists’ performances.

Results

Use of DBT (AUC = 0.927) led to improved performance of the radiologists (z = 2.62, p = 0.008) compared with mammography workup (AUC = 0.872). Similarly, the sensitivity, specificity, PPV, and NPV of DBT (0.93, 0.75, 0.64, 0.96) were higher than those of the workup (0.90, 0.56, 0.49, 0.92). Most radiologists (80%) performed better with DBT than standard workup. Cancerous lesions on DBT appeared more severe (U = 33,172, p = 0.02) and conspicuous (U = 24,207, p = 0.02). There was a significant reduction in the need for additional views (χ2 = 17.63, p < 0.001) and recommendations for ultrasound (χ2 = 8.56, p = 0.003) with DBT.

Conclusions

DBT has the potential to increase diagnostic accuracy and simplify the assessment process in the breast cancer assessment clinic.

Key Points

Use of DBT in the assessment clinic results in increased diagnostic accuracy.

Use of DBT in the assessment clinic improves performance of radiologists and also increases the confidence in their decisions.

DBT may reduce the need for additional views, ultrasound imaging, and biopsy.

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Abbreviations

AUC:

Area under the curve

CC:

Craniocaudal

DBT:

Digital breast tomosynthesis

DM:

Digital mammography

DMW:

Digital mammography workup views

FDA:

US Food and Drug Administration

FN:

False negative

FP:

False positive

ML:

Mediolateral

MLO:

Mediolateral oblique

MRMC:

Multi-reader multi-case

NPV:

Negative predictive values

NSW:

New South Wales

p :

p value

PPV:

Positive predictive values

SVM:

Spot-view mammogram

TACT:

Tomosynthesis Assessment Clinic Trial

TN:

True negative

TP:

True positive

U:

Test statistics for the Mann-Whitney U test

z:

Test statistics for the z-test a.k.a. Wald test

χ 2 :

Test statistics for the chi-square test

References

  1. Gur D, Abrams GS, Chough DM et al (2009) Digital breast tomosynthesis: observer performance study. AJR Am J Roentgenol 193(2):586–591. https://doi.org/10.2214/ajr.08.2031

    Article  Google Scholar 

  2. Ciatto S, Houssami N, Bernardi D et al (2013) Integration of 3D digital mammography with tomosynthesis for population breast-cancer screening (STORM): a prospective comparison study. Lancet Oncol 14(7):583–589. https://doi.org/10.1016/s1470-2045(13)70134-7

    Article  Google Scholar 

  3. Rafferty EA, Park JM, Philpotts LE et al (2013) Assessing radiologist performance using combined digital mammography and breast tomosynthesis compared with digital mammography alone: results of a multicenter, multireader trial. Radiology 266(1):104–113. https://doi.org/10.1148/radiol.12120674

    Article  Google Scholar 

  4. Kopans DB (2007) Breast Imaging. 3rd ed: Lippincott Williams & Wilkins

  5. Mall S, Lewis S, Brennan P, Noakes J, Mello-Thoms C (2017) The role of digital breast tomosynthesis in the breast assessment clinic: a review. J Med Radiat Sci. https://doi.org/10.1002/jmrs.230

    Article  Google Scholar 

  6. Chae EY, Kim HH, Cha JH, Shin HJ, Choi WJ (2016) Detection and characterization of breast lesions in a selective diagnostic population: diagnostic accuracy study for comparison between one-view digital breast tomosynthesis and two-view full-field digital mammography. Br J Radiol 89(1062):8. https://doi.org/10.1259/bjr.20150743

    Article  Google Scholar 

  7. Seo M, Chang JM, Kim SA et al (2016) Addition of digital breast tomosynthesis to full-field digital mammography in the diagnostic setting: additional value and cancer detectability. J Breast Cancer 19(4):438–446. https://doi.org/10.4048/jbc.2016.19.4.438

    Article  Google Scholar 

  8. Alakhras M, Mello-Thoms C, Rickard M, Bourne R, Brennan PC editors (2014) Efficacy of digital breast tomosynthesis for breast cancer diagnosis. Proc SPIE 9037, Medical Imaging 2014: Image Perception, Observer Performance, and Technology Assessment, 90370V (March 11, 2014)

  9. FDA Radiological Devices Panel Meeting, October 24, 2012, PMA application. FDA; 2012. http://www.fda.gov/downloads/AdvisoryCommittees/CommitteesMeetingMaterials/MedicalDevices/MedicalDevicesAdvisoryCommittee/RadiologicalDevicesPanel/UCM324861.pdf

  10. Berg WA, Zhang Z, Lehrer D et al (2012) Detection of breast cancer with addition of annual screening ultrasound or a single screening MRI to mammography in women with elevated breast cancer risk. JAMA 307(13):1394–1404. https://doi.org/10.1001/jama.2012.388

    Article  Google Scholar 

  11. Lockie D, Nickson C, Aitken Z (2014) Evaluation of digital breast tomosynthesis (DBT) in an Australian BreastScreen assessment service (an abstract). J Med Radiat Sci 61:63–112. https://doi.org/10.1002/jmrs.71

    Article  Google Scholar 

  12. Whelehan P, Heywang-Kobrunner SH, Vinnicombe SJ et al (2017) Clinical performance of Siemens digital breast tomosynthesis versus standard supplementary mammography for the assessment of screen-detected soft-tissue abnormalities: a multi-reader study. Clin Radiol 72(1). doi: 10.1016/j.crad.2016.08.011

    Article  Google Scholar 

  13. Cornford EJ, Turnbull AE, James JJ et al (2016) Accuracy of GE digital breast tomosynthesis vs supplementary mammographic views for diagnosis of screen-detected soft-tissue breast lesions. Br J Radiol 89(1058):20150735. https://doi.org/10.1259/bjr.20150735

    Article  Google Scholar 

  14. Morel JC, Iqbal A, Wasan RK et al (2014) The accuracy of digital breast tomosynthesis compared with coned compression magnification mammography in the assessment of abnormalities found on mammography. Clin Radiol 69(11):1112–1116. https://doi.org/10.1016/j.crad.2014.06.005

    Article  CAS  Google Scholar 

  15. Mall S, Brennan PC, Mello-Thoms C (2015) Implementation and value of using a split-plot reader design in a study of digital breast tomosynthesis in a breast cancer assessment clinic. In: SPIE 9416, Medical Imaging 2015: Image Perception, Observer Performance, and Technology Assessment, 941619, 17 March 2015. https://doi.org/10.1117/12.2083152

  16. Obuchowski NA, Gallas BD, Hillis SL (2012) Multi-reader ROC studies with split-plot designs: a comparison of statistical methods. Acad Radiol 19(12):1508–1517. https://doi.org/10.1016/j.acra.2012.09.012

    Article  PubMed  PubMed Central  Google Scholar 

  17. Gallas BD, Bandos A, Samuelson FW, Wagner RF (2009) A framework for random-effects ROC analysis: biases with the bootstrap and other variance estimators. Comm Stat Theory Methods 38(15):2586–2603. https://doi.org/10.1080/03610920802610084

    Article  Google Scholar 

  18. Gallas BD (2013) iMRMC v3p1: Application for Analyzing and Sizing MRMC Reader Studies: Division of Imaging and Applied Mathematics, CDRH, FDA, Silver Spring, MD. Available from: https://github.com/DIDSR/iMRMC

  19. Hakim CM, Chough DM, Ganott MA, Sumkin JH, Zuley ML, Gur D (2010) Digital breast tomosynthesis in the diagnostic environment: a subjective side-by-side review. AJR Am J Roentgenol 195(2):W172–W1W6. https://doi.org/10.2214/ajr.09.3244

    Article  Google Scholar 

  20. Tucker L, Gilbert FJ, Astley SM et al (2017) Does reader performance with digital breast tomosynthesis vary according to experience with two-dimensional mammography? Radiology 283(2):371–380. https://doi.org/10.1148/radiol.2017151936

    Article  Google Scholar 

  21. Heywang-Kobrunner S, Jaensch A, Hacker A, Wulz-Horber S, Mertelmeier T, Holzel D (2017) Value of digital breast tomosynthesis versus additional views for the assessment of screen-detected abnormalities—a first analysis. Breast Care 12(2):92–97. https://doi.org/10.1159/000456649

    Article  PubMed  PubMed Central  Google Scholar 

  22. Noroozian M, Hadjiiski L, Rahnama-Moghadam S et al (2012) Digital breast tomosynthesis is comparable to mammographic spot views for mass characterization. Radiology 262(1):61–68. https://doi.org/10.1148/radiol.11101763

    Article  Google Scholar 

  23. Mhuircheartaigh NN, Coffey L, Fleming H, Doherty A, McNally S (2017) With the advent of tomosynthesis in the workup of mammographic abnormality, is spot compression mammography now obsolete? An initial clinical experience. Breast J 23(5):509–518. https://doi.org/10.1111/tbj.12787

    Article  Google Scholar 

  24. Svahn T, Andersson I, Chakraborty D et al (2010) The diagnostic accuracy of dual-view digital mammography, single-view breast tomosynthesis and a dual-view combination of breast tomosynthesis and digital mammography in a free-response observer performance study. Radiat Prot Dosimetry 139(1-3):113–117. https://doi.org/10.1093/rpd/ncq044

    Article  CAS  Google Scholar 

  25. Clark G, Valencia A (2015) Does tomosynthesis increase confidence in grading the suspicious appearance of a lesion? An audit of cancers diagnosed in the assessment clinic using tomosynthesis: initial experience at Avon Breast Screening Unit. Breast Cancer Res 17:2

    Article  Google Scholar 

  26. Tosteson AN, Fryback DG, Hammond CS et al (2014) Consequences of false-positive screening mammograms. JAMA Intern Med 174(6):954–961. https://doi.org/10.1001/jamainternmed.2014.981

    Article  Google Scholar 

  27. Hafslund B, Nortvedt MW (2009) Mammography screening from the perspective of quality of life: a review of the literature. Scand J Caring Sci 23(3):539–548. https://doi.org/10.1111/j.1471-6712.2008.00634.x

    Article  PubMed  Google Scholar 

  28. Bansal GJ, Young P (2015) Digital breast tomosynthesis within a symptomatic "one-stop breast clinic" for characterization of subtle findings. Br J Radiol 88(1053):20140855. https://doi.org/10.1259/bjr.20140855

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Philpotts L, Kalra, V, Crenshaw, J, Butler, R (2013) How tomosynthesis optimizes patient work up, throughput, and resource utilization. Radiological Society of North America 2013 Scientific Assembly and Annual Meeting; December 1 - December 6; Chicago

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Acknowledgements

We would like to thank Northern Sydney Local Health District, BreastScreen Northern Sydney and Central Coast, New South Wales, Australia, and the Cancer Institute New South Wales, Australia, for their support of this study. We also thank Amanda Chapman, Andrew Varnava, Carolin Skipka, Craig Cetinich, Garry Potts, Monica Connolly, and Sarah McGill for their help in this study.

Funding

The authors state that this work has not received any funding.

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Correspondence to S. Mall.

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Guarantor

The scientific guarantor of this publication is Claudia Mello-Thoms.

Conflict of interest

The authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article.

Statistics and biometry

One of the authors has significant statistical expertise.

Informed consent

Written informed consent was obtained from all subjects (patients) in this study.

Ethical approval

Institutional Review Board approval was obtained.

Methodology

• retrospective

• case-control study

• performed at one institution

Additional information

Suneeta Mall and Jennie Noakes Joint first co-authors

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Mall, S., Noakes, J., Kossoff, M. et al. Can digital breast tomosynthesis perform better than standard digital mammography work-up in breast cancer assessment clinic?. Eur Radiol 28, 5182–5194 (2018). https://doi.org/10.1007/s00330-018-5473-4

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  • DOI: https://doi.org/10.1007/s00330-018-5473-4

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