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Research Articles

Effect of Mammography Screening on Mortality by Histological Grade

Laszlo Tabar, Tony Hsiu-Hsi Chen, Amy Ming-Fang Yen, Sam Li-Sheng Chen, Jean Ching-Yuan Fann, Sherry Yueh-Hsia Chiu, May M.S. Ku, Wendy Yi-Ying Wu, Chen-Yang Hsu, Yu-Ying Chen, Kerri Beckmann, Robert A. Smith and Stephen W. Duffy
Laszlo Tabar
1Department of Mammography, Falun Central Hospital, Falun, Sweden.
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Tony Hsiu-Hsi Chen
2National Taiwan University, Taipei, Taiwan.
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Amy Ming-Fang Yen
3Taipei Medical University, Taipei, Taiwan.
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Sam Li-Sheng Chen
3Taipei Medical University, Taipei, Taiwan.
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Jean Ching-Yuan Fann
4Kainan University, Taoyuan, Taiwan.
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Sherry Yueh-Hsia Chiu
5Chang Gung University, Taoyuan, Taiwan.
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May M.S. Ku
2National Taiwan University, Taipei, Taiwan.
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Wendy Yi-Ying Wu
6Umeå University, Umeå, Sweden.
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Chen-Yang Hsu
2National Taiwan University, Taipei, Taiwan.
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Yu-Ying Chen
7Taipei City Hospital, Taipei, Taiwan.
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Kerri Beckmann
8University of South Australia, Adelaide, Australia.
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Robert A. Smith
9American Cancer Society, Atlanta, Georgia, USA.
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Stephen W. Duffy
10Queen Mary University of London, London, United Kingdom.
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  • For correspondence: s.w.duffy@qmul.ac.uk
DOI: 10.1158/1055-9965.EPI-17-0487 Published February 2018
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Abstract

Background: It has been asserted that mammography screening preferentially benefits those with less aggressive cancers, with lesser or no impact on more rapidly progressing and therefore more life-threatening tumors.

Methods: We utilized data from the Swedish Two-County Trial, which randomized 77,080 women ages 40 to 74 to invitation to screening and 55,985 for usual care. We tabulated cancers by histologic grade and then compared mortality from cancers specific to histologic grade between the invited and control group using Poisson regression, with specific interest in the effect on mortality from grade 3 cancers. We used incidence-based mortality from tumors diagnosed within the screening phase of the trial. Finally, we cross-tabulated grade with tumor size and node status, to assess downstaging within tumor grades.

Results: There was a major reduction in mortality from grade 3 tumors (RR = 0.65; 95% CI, 0.53–0.80; P < 0.001), and more deaths prevented from grade 3 tumors (n = 95) than grade 1 and 2 tumors combined (n = 48) in the invited group. The proportions of tumors ≥15 mm or larger and node-positive tumors were substantially reduced in the grade 3 tumors in the invited group.

Conclusions: The combination of prevention of tumors progressing to grade 3 and detection at smaller sizes and lesser rates of lymph node metastases within grade 3 tumors results in a substantial number of deaths from grade 3 cancers being prevented by invitation to mammographic screening.

Impact: Mammography screening prevents deaths from aggressive cancers. Cancer Epidemiol Biomarkers Prev; 27(2); 154–7. ©2017 AACR.

This article is featured in Highlights of This Issue, p. 123

Introduction

The randomized trials of mammographic screening show a substantial and significant reduction in breast cancer mortality with invitation to mammographic screening (1, 2). Since then, observational studies within service screening programs have shown similar or larger reductions in breast cancer mortality (3). These are reviewed in the recent handbook on the subject from the International Agency for Research on Cancer (4).

It is generally understood that the effect of screening on breast cancer mortality will vary by the aggressive potential of the tumor. More recently, it has been asserted that screening preferentially benefits less aggressive, less life-threatening cancers, with lesser or no impact on more aggressive, rapidly progressing, and therefore more life-threatening cancers (5–9).

This question can be addressed by considering the effect of screening on mortality from breast cancers by histologic grade at diagnosis. Although emphasis on prognostic factors has shifted toward molecular features of tumors (10), histologic grade still is a strong breast cancer prognostic factor, and it reflects the aggressive potential of the tumor (11). If the assertion that screening does not primarily improve outcome in more aggressive tumors is true, this would be reflected in a lesser effect on mortality from grade 3 cancers compared with grade 1 and 2 cancers among women invited to screening within a screening trial. If, on the other hand, screening does improve outcome in the more aggressive cancers, this will be reflected in a substantial effect of invitation to screening on mortality from grade 3 cancer, whether by improving stage at diagnosis of such cancers or detecting these cancers before dedifferentiation, therefore preventing progression to grade 3, or both (12, 13).

In this article, we investigate this issue using data from the Swedish Two-County Trial of mammographic screening (1).

Materials and Methods

The design and procedures of the Swedish Two-County Trial have been described elsewhere (1, 12). Briefly, between 1977 and 1981, 77,080 women in Dalarna and Östergötland counties, Sweden, ages 40 to 74 were allocated to invitation to periodic mammographic screening [active study population (ASP)] and 55,985 to no invitation [passive study population (PSP)]. Women in the ASP ages 40 to 49 at allocation were offered screening on average every 24 months. Women ages 50 to 74 were offered screening every 33 months. After 6 to 7 years, the PSP was invited to screening and the screening phase of the trial closed, but follow-up continued for deaths from breast cancers diagnosed during the screening phase. In the mortality analyses that follow, we use incidence-based mortality from the screening phase of the trial, that is, deaths only from tumors diagnosed in the ASP and PSP between randomization and the completion of the single round of screening of the PSP. The screening in the trial took place between 1977 and 1988. We have follow-up data on deaths from breast cancer to 2005 in Dalarna county and 2006 in Östergötland, with total person-years of follow-up of 1,632,492 in the ASP and 1,200,887 in the PSP.

We first tabulated cancers detected in the two trial arms by histologic grade to assess whether there was evidence of prevention of grade 3 cancers by early detection. We then compared mortality from cancers specific to histologic grade between the ASP and PSP using Poisson regression (14), to give relative rates (RR) and confidence intervals (CI), with specific interest in the effect of invitation to screening on mortality from grade 3 cancers. Finally, we cross-tabulated grade with tumor size and node status, to assess the extent to which tumors of differing grade were detected early in their development.

Results

Table 1 shows the cancers diagnosed in the two arms of the trial by histologic grade. The distribution of grade is significantly more favorable in the ASP (P < 0.001). The absolute incidence rate of grade 3 cancers was 378/55,985 = 6.8 per 1,000 population in the PSP and 467/77,080 = 6.1 per 1000 in the ASP. Although this difference did not reach statistical significance (P = 0.1), the absolute incidence rate of grade 2 and 3 cancers combined was significantly lower in the ASP (RR = 0.89; 95% CI, 0.81–0.99; P = 0.02).

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Table 1.

Breast cancer cases by grade and trial arm

Figure 1 shows cumulative mortality from invasive breast cancers of grade 1, 2, and 3, respectively, by trial arm. Clearly, there is a major reduction in mortality from grade 3 breast cancers in the ASP (RR = 0.65; 95% CI, 0.53–0.80; P < 0.001). Table 2 shows deaths from cancers by grade and trial arm, in situ disease, and missing grade combined. The absolute numbers of deaths prevented in the ASP from grade 3 breast cancers is estimated as:

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Figure 1.
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Figure 1.

A, Cumulative breast cancer mortality over time in the ASP and PSP for invasive breast cancers of histologic grade 1. B, Cumulative breast cancer mortality over time in the ASP and PSP for invasive breast cancers of histologic grade 2. C, Cumulative breast cancer mortality over time in the ASP and PSP for invasive breast cancers of histologic grade 3.

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Table 2.

Breast cancer deaths by grade and trial arm

The corresponding numbers of deaths prevented from grade 2 cancers was 47, from grade 1 cancers was two, and from grade missing/in situ tumors was six. Thus, both the relative and absolute effects of screening on breast cancer mortality were by far the largest in grade 3 cancers.

Table 3 shows the size distribution by grade for the ASP and PSP separately. For cancers of each histologic grade, the proportion of tumors of size 15 mm or larger was substantially reduced in the ASP. This was statistically significant in all three histologic malignancy grades, including the grade 3 tumors (P < 0.001). The corresponding results for node status by grade are shown in Table 4. There is a similar reduction in the proportion of node-positive cases in the ASP in all three grades, including within the grade 3 tumors (P = 0.001). The difference in distributions between ASP and PSP will reflect differences in incidence by these characteristics associated with invitation to screening, as the overall cumulative incidence is almost exactly equal between the ASP and PSP.

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Table 3.

Size distribution of invasive cancers by grade for each trial arm

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Table 4.

Node status of invasive cancers by grade for each trial arm

Discussion

Our results suggest that screening prevents tumors from progressing to grade 3 and also detects grade 3 tumors at smaller sizes with lower rates of lymph node metastases. These combined effects of screening prevented a substantial number of deaths from grade 3 cancers in the ASP (invited arm) in this mammographic screening trial. There was a 35% reduction in breast cancer mortality from grade 3 cancers in the ASP compared with the PSP, corresponding to 95 deaths prevented, almost double the number of deaths prevented for grades 1 and 2 tumors combined. This indicates that the notion that mammographic screening only affects outcome in nonaggressive, slowly progressing cancers (7, 15) is unfounded. More recently, measures of aggression based on gene expression have shown a strong relation to prognosis (16). These measures are also correlated with grade (17). It would be interesting to see results on gene expression and outcome in relation to screening.

The results showed no significant reduction in mortality in the ASP from grade 1 cancers. This may be because the lower incidence of grade 2 and 3 cancers in the ASP was balanced by larger numbers of grade 1 tumors. The RRs of mortality from grade 1, 2, and 3 cancers were 0.94, 0.68, and 0.65, respectively. The corresponding RRs of incidence of grade 1, 2, and 3 tumors were 1.33, 0.89, and 0.90. Dividing RRs for mortality by those for incidence, we obtain 0.71, 0.76, and 0.72, very similar figures. This suggests that the lack of a mortality reduction in grade 1 tumors is driven by the increased incidence of these tumors, with a corresponding reduction in incidence of grade 2 and 3 cancers and that the effect of screening on case fatality is similar for all grades.

We and others have published evidence in the past that some tumors will progress from lower to higher histologic grade, and that early detection can arrest this progression (13, 18, 19). There is also evidence that such progression is rare. Schymik and colleagues found that very few tumors in a series of 865 cancers had mixed grade 1 and grade 3 appearance (20). Weigelt and colleagues observed that gene expression profiles were similar between primary tumor and distant metastatic sites (21). Our two observations that absolute incidence of grade 3 cancers was lower and the distributions of tumor size and lymph node status were more favorable in the ASP than in the PSP suggest that the reduction in mortality from grade 3 cancers was driven by a combination of earlier detection that prevents progression to grade 3 cancers and by diagnosis at an earlier stage within the grade 3 cancers. Whatever the mechanism, mortality from grade 3 cancers was reduced substantially in the ASP.

As in other mammography trials, the screening period was shorter than the period of follow-up for mortality, which can lead to conservative estimates. However, the inclusion of a closure screen of the control group (the PSP in our terminology) minimizes this bias (22). When comparing incidence by grade between ASP and PSP, one could attempt to obtain two parallel incident groups by removing the prevalence screen in the ASP at the beginning of the screening phase of the trial and that in the PSP at its end, but these will take place at different ages, may have different attendance rates, and would exclude different tumors. Again, the inclusion of the closure screen of the PSP will mean that incidence is approximately equivalent between the two trial arms.

Our trial had an average 33-month interscreening interval in ages 50 to 74 and an average 24-month interval in ages 40 to 49 (1). The 33-month interval for the older group is longer than that used in most modern screening programs, and a greater advance in earlier diagnosis might be expected from these programs. We have previously presented data with respect to histologic grade that suggested that had the interval in the 40 to 49 age group been shorter, say 12 to 18 months, the effect on mortality from grade 3 cancers would have been larger (23). Other data published since then support this conclusion (24).

It has already been observed that screen-detected tumors have more favorable grade than symptomatic (25). This may have stimulated the concern noted above that screening might not substantially alter outcome in more aggressive tumors (7, 15). As noted above, the results here indicate that such concerns are unwarranted, and other studies support this conclusion. The West Midlands Screening Histories Project reported a substantial and statistically significant reduction in the odds of grade 3 cancers during the period of initiation of the breast cancer screening program in the United Kingdom, 1988–1996 (26). In the UK Breast Screening Age Trial, a small (nonsignificant) reduction in incidence of grade 3 cancers was observed in the intervention arm (27). In Providence, Rhode Island, during a period of increasing mammographic screening activity, both the proportional and absolute rates of grade 3 cancers decreased (28). Evans and colleagues found a high proportion of node-negative cases among screen-detected grade 3 cancers, also consistent with our findings (29). Furthermore, a recent study in Italy has shown a significant reduction in the incidence of grade 3 cancers associated with invitation and exposure to screening (30).

In conclusion, we found a substantial and significant reduction in mortality from histologic grade 3 cancers in a randomized trial of breast cancer screening with mammography, indicating that screening does improve outcome in more aggressive, rapidly progressing cancers and may interrupt the progression of the subset of grade 1 and 2 cancers that would progress to grade 3 and worse prognosis if not detected by screening.

Disclosure of Potential Conflicts of Interest

S.W. Duffy reports receiving a commercial research grant from Philips. No potential conflicts of interest were disclosed by the other authors.

Authors' Contributions

Conception and design: S.Y.H. Chiu, S.W. Duffy

Development of methodology: T.H.H. Chen, S.W. Duffy

Analysis and interpretation of data (e.g., statistical analysis, biostatistics, computational analysis): L. Tabar, T.H.H. Chen, A.M.F. Yen, S.L.S. Chen, J.C.Y. Fann, S.Y.H. Chiu, M.M.S. Ku, W.Y.Y. Wu, C.-Y. Hsu, Y.-Y. Chen, K. Beckmann, R.A. Smith, S.W. Duffy

Writing, review, and/or revision of the manuscript: L. Tabar, T.H.H. Chen, A.M.F. Yen, J.C.Y. Fann, S.Y.H. Chiu, M.M.S. Ku, K. Beckmann, R.A. Smith, S.W. Duffy

Administrative, technical, or material support (i.e., reporting or organizing data, constructing databases): S.Y.H. Chiu, W.Y.Y. Wu, R.A. Smith

Study supervision: L. Tabar

Acknowledgments

This work was supported by the American Cancer Society through a gift from the Longaberger Company's Horizon of Hope® Campaign.

The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

  • Received June 4, 2017.
  • Revision received August 24, 2017.
  • Accepted November 9, 2017.
  • ©2017 American Association for Cancer Research.

References

  1. 1.↵
    1. Tabar L,
    2. Vitak B,
    3. Chen TH,
    4. Yen AM,
    5. Cohen A,
    6. Tot T,
    7. et al.
    Swedish two-county trial: impact of mammographic screening on breast cancer mortality during 3 decades. Radiology 2011;260:658–63.
    OpenUrlCrossRefPubMed
  2. 2.↵
    Independent UK Panel on Breast Cancer Screening. The benefits and harms of breast cancer screening: an independent review. Lancet 2012;380:1778–86.
    OpenUrlCrossRefPubMed
  3. 3.↵
    1. Broeders M,
    2. Moss S,
    3. Nystrom L,
    4. Njor S,
    5. Jonsson H,
    6. Paap E,
    7. et al.
    The impact of mammographic screening on breast cancer mortality in Europe: a review of observational studies. J Med Screen 2012;19Suppl 1:14–25.
    OpenUrlCrossRefPubMed
  4. 4.↵
    IARC Working Group on the Evaluation of Cancer-Preventive Strategies. Breast cancer screening, Volume 15. Lyon, France: IARC Press; 2016.
  5. 5.↵
    1. Autier P,
    2. Esserman LJ,
    3. Flowers CI,
    4. Houssami N
    . Breast cancer screening: the questions answered. Nat Rev Clin Oncol 2012;9:599–605.
    OpenUrlPubMed
  6. 6.↵
    1. Esserman L,
    2. Shieh Y,
    3. Thompson I
    . Rethinking screening for breast cancer and prostate cancer. JAMA 2009;302:1685–92.
    OpenUrlCrossRefPubMed
  7. 7.↵
    1. Shieh Y,
    2. Eklund M,
    3. Sawaya GF,
    4. Black WC,
    5. Kramer BS,
    6. Esserman LJ
    . Population-based screening for cancer: hope and hype. Nat Rev Clin Oncol 2016;13:550–65.
    OpenUrl
  8. 8.↵
    1. Welch HG
    . Screening mammography-a long run for a short slide? N Engl J Med 2010;363:1276–8.
    OpenUrlCrossRefPubMed
  9. 9.↵
    1. Welch HG,
    2. Prorok PC,
    3. O'Malley AJ,
    4. Kramer BS
    . Breast-cancer tumor size, overdiagnosis, and mammography screening effectiveness. N Engl J Med 2016;375:1438–47.
    OpenUrlCrossRefPubMed
  10. 10.↵
    1. Haibe-Kains B,
    2. Desmedt C,
    3. Loi S,
    4. Culhane AC,
    5. Bontempi G,
    6. Quackenbush J,
    7. et al.
    A three-gene model to robustly identify breast cancer molecular subtypes. J Natl Cancer Inst 2012;104:311–25.
    OpenUrlCrossRefPubMed
  11. 11.↵
    1. Arpino G,
    2. Milano M,
    3. De Placido S
    . Features of aggressive breast cancer. Breast 2015;24:594–600.
    OpenUrl
  12. 12.↵
    1. Tabar L,
    2. Fagerberg G,
    3. Duffy SW,
    4. Day NE,
    5. Gad A,
    6. Grontoft O
    . Update of the Swedish two-county program of mammographic screening for breast cancer. Radiol Clin North Am 1992;30:187–210.
    OpenUrlPubMed
  13. 13.↵
    1. Duffy SW,
    2. Tabar L,
    3. Fagerberg G,
    4. Gad A,
    5. Gröntoft O,
    6. South MC,
    7. et al.
    Breast screening, prognostic factors and survival–results from the Swedish two county study. Br J Cancer 1991;64:1133–8.
    OpenUrlCrossRefPubMed
  14. 14.↵
    1. Breslow NE,
    2. Day NE
    . Statistical methods in cancer research. Volume II–The design and analysis of cohort studies. Lyon, France: IARC Sci Publ; 1987. p. 1–406.
  15. 15.↵
    1. Esserman LJ
    . Breast cancer recurrence is dictated by high-risk biology, not choice of surgery. Oncology 2012;26:pii:168239.
    OpenUrl
  16. 16.↵
    1. Leung S,
    2. Voduc D,
    3. Ebbert M,
    4. Vickery T,
    5. et al.
    1. Nielsen TO,
    2. Parker JS
    . Leung S, Voduc D, Ebbert M, Vickery T, et al. A comparison of PAM50 intrinsic subtyping with immunohistochemistry and clinical prognostic factors in tamoxifen-treated estrogen receptor-positive breast cancer. Clin Cancer Res 2010;16:5222–32.
    OpenUrlAbstract/FREE Full Text
  17. 17.↵
    1. Sweeney C,
    2. Bernard PS,
    3. Factor RE,
    4. Kwan ML,
    5. Habel LA,
    6. Quesenberry CP Jr.,
    7. et al.
    Intrinsic subtypes from PAM50 gene expression assay in a population-based breast cancer cohort: differences by age, race, and tumor characteristics. Cancer Epidemiol Biomarkers Prev 2014;23:714–24.
    OpenUrlAbstract/FREE Full Text
  18. 18.↵
    1. Chen H,
    2. Duffy S,
    3. Tabar L
    . A mover-stayer mixture of Markov chain models for the assessment of dedifferentiation and tumour progression in breast cancer. J Appl Stat 1997;24:265–78.
    OpenUrlCrossRef
  19. 19.↵
    1. Anderson TJ,
    2. Waller M,
    3. Ellis IO,
    4. Bobrow L,
    5. Moss S
    . Influence of annual mammography from age 40 on breast cancer pathology. Hum Pathol 2004;35:1252–9.
    OpenUrlCrossRefPubMed
  20. 20.↵
    1. Schymik B,
    2. Buerger H,
    3. Krämer A,
    4. Voss U,
    5. van der Groep P,
    6. Meinerz W,
    7. et al.
    Is there ‘progression through grade’ in ductal invasive breast cancer? Breast Cancer Res Treat 2012;135:693–703.
    OpenUrlPubMed
  21. 21.↵
    1. Weigelt B,
    2. Glas AM,
    3. Wessels LF,
    4. Witteveen AT,
    5. Peterse JL,
    6. van't Veer LJ
    . Gene expression profiles of primary breast tumors maintained in distant metastases. Proc Natl Acad Sci U S A 2003;100:15901–5.
    OpenUrlAbstract/FREE Full Text
  22. 22.↵
    1. Duffy SW,
    2. Smith RA
    . A note on the design of cancer screening trials. J Med Screen 2015;22:65–8.
    OpenUrlCrossRefPubMed
  23. 23.↵
    1. Duffy S,
    2. Day N,
    3. Tabar L,
    4. Chen H,
    5. Smith T
    . Markov models of breast tumor progression: some age-specific results. J Natl Cancer Inst Monogr 1997;22:93–7.
    OpenUrlPubMed
  24. 24.↵
    1. Miglioretti DL,
    2. Zhu W,
    3. Kerlikowske K,
    4. Sprague BL,
    5. Onega T,
    6. Buist DS,
    7. et al.
    Breast tumor prognostic characteristics and biennial vs. annual mammography, age, and menopausal status. JAMA Oncol 2015;1:1069–77.
    OpenUrl
  25. 25.↵
    1. Chiarelli AM,
    2. Edwards SA,
    3. Sheppard AJ,
    4. Mirea L,
    5. Chong N,
    6. Paszat L,
    7. et al.
    Favourable prognostic factors of subsequent screen-detected breast cancers among women aged 50–69. Eur J Cancer Prev 2012;21:499–506.
    OpenUrlCrossRefPubMed
  26. 26.↵
    1. Nagtegaal ID,
    2. Allgood PC,
    3. Duffy SW,
    4. Kearins O,
    5. Sullivan EO,
    6. Tappenden N,
    7. et al.
    Prognosis and pathology of screen-detected carcinomas: how different are they? Cancer 2011;117:1360–8.
    OpenUrlCrossRefPubMed
  27. 27.↵
    1. Moss S,
    2. Waller M,
    3. Anderson TJ,
    4. Cuckle H
    . Randomised controlled trial of mammographic screening in women from age 40: predicted mortality based on surrogate outcome measures. Br J Cancer 2005;92:955–60.
    OpenUrlCrossRefPubMed
  28. 28.↵
    1. Coburn NG,
    2. Cady B,
    3. Fulton JP,
    4. Law C,
    5. Chung MA
    . Improving size, lymph node metastatic rate, breast conservation, and mortality of invasive breast cancer in Rhode Island women, a well-screened population. Breast Cancer Res Treat 2012;135:831–7.
    OpenUrlPubMed
  29. 29.↵
    1. Evans AJ,
    2. Pinder SE,
    3. Burrell HC,
    4. Ellis IO,
    5. Wilson AR
    . Detecting which invasive cancers at mammographic screening saves lives? J Med Screen 2001;8:86–90.
    OpenUrlCrossRefPubMed
  30. 30.↵
    1. Puliti D,
    2. Bucchi L,
    3. Mancini S,
    4. Paci E,
    5. Baracco S,
    6. Campari C,
    7. et al.
    Advanced breast cancer rates in the epoch of service screening: The 400,000 women cohort study from Italy. Eur J Cancer 2017;75:109–16.
    OpenUrl
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Cancer Epidemiology Biomarkers & Prevention: 27 (2)
February 2018
Volume 27, Issue 2
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Effect of Mammography Screening on Mortality by Histological Grade
Laszlo Tabar, Tony Hsiu-Hsi Chen, Amy Ming-Fang Yen, Sam Li-Sheng Chen, Jean Ching-Yuan Fann, Sherry Yueh-Hsia Chiu, May M.S. Ku, Wendy Yi-Ying Wu, Chen-Yang Hsu, Yu-Ying Chen, Kerri Beckmann, Robert A. Smith and Stephen W. Duffy
Cancer Epidemiol Biomarkers Prev February 1 2018 (27) (2) 154-157; DOI: 10.1158/1055-9965.EPI-17-0487

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Effect of Mammography Screening on Mortality by Histological Grade
Laszlo Tabar, Tony Hsiu-Hsi Chen, Amy Ming-Fang Yen, Sam Li-Sheng Chen, Jean Ching-Yuan Fann, Sherry Yueh-Hsia Chiu, May M.S. Ku, Wendy Yi-Ying Wu, Chen-Yang Hsu, Yu-Ying Chen, Kerri Beckmann, Robert A. Smith and Stephen W. Duffy
Cancer Epidemiol Biomarkers Prev February 1 2018 (27) (2) 154-157; DOI: 10.1158/1055-9965.EPI-17-0487
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Cancer Epidemiology, Biomarkers & Prevention
eISSN: 1538-7755
ISSN: 1055-9965

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