CC BY-NC-ND 4.0 · Senologie - Zeitschrift für Mammadiagnostik und -therapie 2024; 21(03): 219-226
DOI: 10.1055/a-2287-2854
Original Research

Increased detection of relevant breast cancers with DBT in mammography screening?

Article in several languages: English | deutsch
Stefanie Weigel
1   Clinic for Radiology and Reference Center for Mammography Münster, University of Münster and University Hospital Münster, Münster, Germany
,
Veronika Weyer-Elberich
2   Institute of Biostatistics and Clinical Research, University of Münster, Münster, Germany
,
Hans-Werner Hense
3   Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
,
Thomas Decker
1   Clinic for Radiology and Reference Center for Mammography Münster, University of Münster and University Hospital Münster, Münster, Germany
,
Joachim Gerß
4   Institute of Biostatistics and Clinical Research, University of Münster, Münster, Germany
,
Walter Heindel
1   Clinic for Radiology and Reference Center for Mammography Münster, University of Münster and University Hospital Münster, Münster, Germany
› Author Affiliations
 

Abstract

Introduction

Screening with digital breast tomosynthesis plus synthetic mammography (DBT+SM) increases invasive breast cancer detection compared to digital mammography (DM). Since a reduction in breast cancer mortality is largely based on the detection of histological grade 2 or 3 breast cancers, a comparison of the detection rates of invasive breast cancers (iCDR), independent of the stage, of grades 2 or 3, was carried out, taking into account breast density, after screening with DBT+SM vs. DM.

Material and Methods

The 1:1 randomized, multicenter TOSYMA study recruited participants from 7/2018 to 12/2020 in the German Mammography Screening Program. This explorative subanalysis included 49479 participants in the DBT+SM arm and 49689 participants in the DM arm, with complete documentation including visual density categorization (A/B: non-dense parenchyma, C/D: dense parenchyma).

Results

The iCDR of grade 2 or 3 was 5.1 per 1000 women screened with DBT+SM vs. 3.6 ‰ screened with DM (difference +1.5 ‰). In the case of non-dense parenchyma, the corresponding DBT+SM rate was 4.5 ‰ (difference to DM +1.3 ‰), and in dense parenchyma it was 5.7 ‰ (difference to DM +1.7 ‰).

The iCDR of grade 1 was 2.1 ‰ with DBT+SM (difference to DM +0.8 ‰). In non-dense parenchyma, the corresponding DBT+SM rate was 1.7 ‰ (difference to DM +0.7 ‰), in dense parenchyma it was 2.6 ‰ (difference to DM +1.0 ‰).

Conclusion

When screening with DBT+SM, invasive breast cancer detection rates of grade 2 or 3 tumors are higher than with DM. Detection rates and their differences are also higher in women with dense than non-dense parenchyma. These detection rates and their differences are consistently higher for DBT+SM and DM than those for grade 1 cancers. The explorative analyses of this large, randomized trial indicate that DBT+SM screening increases the detection of prognostically more relevant breast cancers.


#

Introduction

Early-stage breast cancer detection aims to reduce advanced tumour stages by diagnosing breast cancer earlier, thus enabling potential therapeutic advantages and reducing breast cancer-specific mortality [1]. Mammography is an evidence-based method for systematic early-stage cancer detection with a proven reducing effect on breast cancer mortality [2] [3]. In Germany, a mammography screening programme (MSP) based on the European Guidelines for women aged between 50 and 69 years has been implemented nationwide, starting in 2005 [4]. With breast cancer being the most common cause of cancer-related death in women, research into innovative screening strategies is warranted [5].

By reducing superimpositions, made possible by X-ray tube arching and reconstruction of layers parallel to the detector surface, digital breast tomosynthesis (DBT) achieves higher breast cancer detection rates compared to digital mammography (DM), the current standard in population-basted early detection [6].

The large, randomized controlled TOSYMA study, which was embedded in the German mammography screening programme, showed that DBT plus reconstructed, synthetic mammography (DBT+SM) was superior to the current standard screening method (DM) in the detection of invasive breast cancers [7] [8]. The higher cancer detection rate when using DBT+SM was observed with non-advanced, invasive breast cancers (UICC stage I) in particular, among those with histological grades 2 or 3 [9].

It is known that the effect of screening on breast cancer mortality not only depends on early-stage cancer detection but also on tumour biology. The latter determines both the speed of tumour growth and the risk of metastasis.

The histological grade is an independent strong prognostic factor for breast cancer, reflecting tumour biology; it is associated with breast cancer-specific survival and disease-free survival [10] [11]. Genome expression profile studies have deciphered additional useful factors of breast cancer biology and significantly deepened our understanding of the biology of the disease; the utility of these factors as prognostic and predictive tools is currently being evaluated. At the same time, these studies have provided further evidence of the high level of relevance of the biological characteristics reflected in the histological grade [12] [13] [14]

The relative reduction in breast cancer-specific mortality attributable to tumour detection in screening varies depending on tumour grade, as shown in the Swedish screening programme [11]. Of the breast cancers detected in the UK screening programme that had a fatal outcome, 6%, 37% and 47% were classified as grade 1, grade 2 or grade 3, respectively [15].

Since the desired reduction in breast cancer mortality is largely based on the detection of histological grade 2 or 3 breast cancers in a screening setting, the aim of this study was to provide an explorative comparison of the rates of detection of invasive breast cancers of grades 2 or 3, independent of the stage, between the DBT+SM arm and the DM arm of the TOSYMA study, while also taking into account breast density.


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Materials and Methods

Study design

The multicentre TOSYMA study was conducted in 17 screening units in the German federal states of North Rhine-Westphalia and Lower Saxony from July 2018 to December 2020. A total of 99689 women were randomly assigned (1:1) to the test arm (DBT+SM) or the control arm (DM). The study protocol was approved by the responsible ethics committee (2016–132-f-S) and assessed by two further ethics committees. A written consent was obtained from all study participants [16]. The study is registered on the publicly accessible database ClinicalTrials.gov (NCT 03377036). The study protocol, the results of the first primary end point with secondary endpoints as well as subanalyses have already been published [7] [8] [9] [16] [17].


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Study participants

In Germany, all women between the ages of 50 and 69 years receive an invitation letter every two years to take part in the Mammography Screening Programme (MSP). In the catchment areas of the study centres, they received a personal study invitation with information material in addition to the regular MSP invitation letter. Women diagnosed with breast cancer within the last 5 years or with a mammogram within the last 12 months were not eligible for MSP participation. Breast implants and repeated TOSYMA participation were specific exclusion criteria for the TOSYMA study [7] [8] [9] [16] [17].


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Set-up of the screening examination

The opportunity to participate in the study was offered in 17 screening units at 21 sites: Lower Saxony Northwest (Wilhelmshaven), Hannover, Lower Saxony North (Stade), Lower Saxony Central (Vechta), Lower Saxony Northeast (Lüneburg), Duisburg, Krefeld/Mönchengladbach/Viersen, Wuppertal/Solingen (Bergisches Land/Mettmann district), Aachen-Düren-Heinsberg, Cologne (Bergisch Gladbach), Münster-South/Coesfeld, Bottrop, Gelsenkirchen, Recklinghausen, Minden-Lübbecke/Herford, Bielefeld/Gütersloh, Hamm/Unna/Märkischer Kreis (Schwerte), Höxter, Paderborn, Soest (Lippstadt), Münster-North/Warendorf).

Seven different manufacturers of mammography systems were used to provide the DBT+SM or DM examination: Fujifilm Cooperation, Amulet Innovality, Tokyo, Japan (n=10075); IMS Giotto, Class Tomo, Sasso Marconi, Italy (n=7970); Hologic, Lorad Selenia 3Dimensions, Marlborough, US (n=10955); Hologic, Lorad Selenia Dimensions, Marlborough, US (n=40645); Siemens Healthineers, MAMMOMAT Inspiration, Erlangen, Germany (n=6759); Siemens Healthineers, MAMMOMAT Revelation, Erlangen, Germany (n=12917); GE Healthcare, Senograph Essential, Chicago, US (n=10237).

In both study arms, the examinations comprised the craniocaudal and the mediolateral oblique views of each breast. In addition to synthetic, 2-dimensional mammograms (SM), stacked slices of ≤1mm thickness were reconstructed to create the images for reading (DBT) [7] [8] [9] [16] [17].


#

Reading of the screening examination and diagnostic work-up

As in the current MSP, independent double reading was performed in both study arms by the same certified readers. The screening study comprised a total of 83 experienced readers with at least 2 years of prior screening experience and more than 5000 screening readings per year. DBT training was provided prior to the start of the TOSYMA study in the Reference Centre for Mammography Münster. Based on the DM and SM images, breast density was visually assigned to the categories A (fatty), B (fibroglandular), C (heterogeneously dense), D (extremely dense) [18] [19]. There were 4 to 8 readers at each site. They received their list of study examinations in a mixed sequence of the two study arms without being able to identify the study arm prior to selecting the examination in the screening software. In the case of suspicious findings, the results were discussed in the consensus conference with the physician responsible for the programme to decide whether a further diagnostic work-up was indicated. The diagnostic work-up after study participation was not different from the established procedure of the MSP and comprised, besides the clinical examination, additional mammography views (e.g., magnification mammograms or DBT), ultrasonography, MRI scans, and invasive diagnostic interventions.

Each of the 32 pathologists involved produced at least 100 screening diagnoses per year and took part in a mandatory continuing education course every 2 years, in addition to the self-auditing procedures. The training focused on the internationally recommended Nottingham Grading System, based on semi-quantitative scoring (1 to 3) of glandular differentiation, nuclear pleomorphism and mitotic rate per square millimetre (G1: scoreΣ 3–5, G2: scoreΣ 6–7, G3: scoreΣ 8–9) [4] [20] [21].

All screening data were stored in the screening documentation system MaSc (KV-IT GmbH, Dortmund, Germany) [8] [9] [16] [17].


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Study data and statistical analyses

This subanalysis included 49,479 participants in the DBT+SM arm and 49,689 participants in the DM arm with complete screening documentation, including visual density categorization ([Fig. 1]). Descriptive analyses with stratification of invasive detection rates (iCDRs) by histological grade (grade 1 vs. grade 2 or grade 3) and breast density (A+B: non-dense breast vs. C+D: dense breast) were performed for each study arm [18] [19]. When the two breasts differed in density, the higher category was documented; when independent double reading led to discordant categorization of breast density, the highest density category was used [9] [16] [17] [18] [19].

Zoom Image
Fig. 1 Flowchart of randomization in der TOSYMA study and inclusion in this subanalysis. TOSYMA: TOmosynthesis plus SYnthesized MAmmography trial; DBT+SM: digital breast tomosynthesis and synthetic mammography; DM: digital mammography.

The findings are presented as the absolute number of invasive breast cancers and as invasive breast cancer detection rates (iCDR, per 1000 women screened) in the two study arms as well as their respective differences. The resulting estimates of the risk difference are reported with a 95% Wald confidence interval (CI). Given the explorative nature of these analyses, no adjustments for multiple comparisons were made and no p-values are provided. The statistical analyses were performed using SAS version 9.4 (SAS Institute, Cary, NC, USA).


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Results

In the DM arm, 240 invasive breast cancers were detected among 49689 participants included; in the DBT+SM-Arm, 354 invasive breast cancers were diagnosed among 49479 participants included.

Invasive breast cancer detection stratified by histological grade

In the DM arm, the iCDR of grade 1 breast cancers was 1.3 per 1000 women screened (63/49689); the ICDR of grade 2 or grade 3 breast cancers was 3.6 per 1,00 women screened (177/49689).

In the DBT+SM arm, the iCDR of grade 1 tumours was 2.1 per 1000 women screened (104/49479); the ICDR of grade 2 or grade 3 tumours was 5.1 per 1000 women screened (250/49479).

The number of examinations with detected breast cancers, the iCDRs and the resulting differences (with confidence intervals) between the study arms are shown in [Table 1].

Table 1 Comparative invasive breast cancer detection rates with stratification by histological grade for the two study arms of the TOSYMA RCT.

DM

DBT+SM

iCDR difference

(DBT+SM – DM)

(95% Wald confidence interval)

DM: digital mammography; DBT+SM: digital breast tomosynthesis and synthetic mammography; iCDR: invasive breast cancer detection rate; G: histological grade

Invasive cancers

240

354

114

G1

63

104

41

iCDR G1

1.3 ‰

2.1 ‰

0.8 ‰

(0.31–1.37)

G2+G3

177

250

73

iCDR G2+3

3.6 ‰

5.1 ‰

1.5 ‰

(0.66–2.30)


#

Invasive breast cancer detection stratified by histological grade and mammographic density

In the DM arm, the iCDR of grade 1 breast cancers was 1.0 per 1000 women screened for the categories A/B (28/28009) and 1.6 for the categories C/D (35/21680). The corresponding rates were higher for grade 2 or grade 3 breast cancers with 3.2 per 1000 women screened for the categories A/B (90/28009) and 4.0 for the categories C/D (87/21680).

In the DBT+SM arm, the iCDR of grade 1 tumours was 1.7 per 1000 women screened for the categories A/B (46/26767) and 2.6 for the categories C/D (58/22712). The highest iCDRs were found for grade 2 or grade 3 breast cancers with 4.5 per 1000 women screened for the categories A/B (120/26767) and 5.7 for the categories C/D (130/22712).

The number of examinations with detected breast cancers, the iCDRs and the resulting differences (with confidence intervals) between the study arms are shown in [Table 2].

Table 2 Comparative invasive breast cancer detection rates with stratification by histological grade and breast density for the two arms of the TOSYMA RCT.

DM

DBT+SM

Difference iCDR

(DBT+SM – DM)

(95% Wald confidence interval)

DM Digital mammography; DBT+SM: digital breast tomosynthesis and synthetic mammography; iCDR: invasive breast cancer detection rate; G: histological grade; A+B: non-dense breast; C+D: dense breast

Invasive breast cancers G1

Invasive cancers

A+B

28

46

18

iCDR A+B

1.0 ‰

1.7 ‰

0.7 ‰

(0.06–1.38)

Invasive cancers

C+D

35

58

23

iCDR C+D

1.6 ‰

2.6 ‰

1.0 ‰

(0.05–1.80)

Invasive breast cancers G2+3

Invasive cancers

A+B

90

(69+21)

120

(96+24)

30

(27+3)

iCDR A+B

3.2 ‰

4.5 ‰

1.3 ‰

(0.20–2.35)

Invasive cancers

C+D

87

(72+15)

130

(106+24)

43

(34+9)

iCDR C+D

4.0 ‰

5.7 ‰

1.7 ‰

(0.38–3.06)

[Fig. 2] shows the iCDRs with stratifications by tumor grade and breast density, comparing the study arms DM and DBT+SM ([Fig. 3]).

Zoom Image
Fig. 2 Comparative invasive breast cancer detection rates with stratification by histological grade and breast density for the two arms of the TOSYMA study. DM: digital mammography; DBT+SM: digital breast tomosynthesis and synthetic mammography; G: histological grade; A+B non-dense breast; C+D: dense breast.
Zoom Image
Fig. 3 Digital breast tomosynthesis of the right breast in a craniocaudal (cc) and b mediolateral oblique (MLO) views. In the individual slices, an architectural distortion is noted in the right upper lateral aspect in both views. Histology: invasive lobular breast cancer, pT2 (31 mm), pN0, cM0, G2.

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Discussion

The first primary endpoint of the first phase of the randomized, controlled TOSYMA trial investigated whether a clinically relevant increase in the detection rate of invasive tumours is achieved when DBT+SM is used for breast cancer screening compared to DM, the standard imaging modality [7].

After recruitment had closed in 12/2020, 354 invasive breast cancers were documented in 49,715 women of the DBT+SM arm (invasive detection rate: 7.1 per 1000 women screened) und 240 invasive breast cancers in 49,762 women of the DM arm (invasive detection rate: 4.8 per 1000 women screened). The invasive breast cancer detection rate was significantly higher in the intervention arm compared to the control arm (odds ratio [OR] 1.48; 95% confidence interval [CI] 1.25–1.75; p<0.0001) [8]. The detection rate for invasive tumours up to 20mm in diameter was substantially higher in the intervention arm compared to the control arm (OR 1.73; 95% CI 1.41–2.13) [8]. These results were achieved with no marked difference in the recall rates between the two study arms (DBT+SM: 4.9%; DM: 5.1%).

The PPV1 was higher with DBT+SM compared to DM (DBT + SM: 17.2%, DM: 12.3%) [8] (TOSYMA-1).

As yet, there is no conclusive evidence in the literature to suggest that DBT screening is more effective compared to DM screening, particularly in reducing breast cancer-specific mortality. The increase in detection rates observed with DBT+SM screening could be attributable to an increasing level of overdiagnosis, i.e. cancer diagnoses that would not have progressed to a symptomatic or life-threatening disease during the patient's lifetime [21] [22]. Therefore, the TOSYMA study was supplemented by a second phase, investigating the incidence rates of invasive interval breast cancers diagnosed within 24 months after the screening examination (TOSYMA-2). Interval cancers are considered an important clinical surrogate endpoint for the evaluation of breast cancer screening [23]. Results for this second primary endpoint of the TOSYMA study are expected to become available by 2024/2025 [7].

In addition, it would be useful to carry out a supplementary assessment closer to screening based on prognostic tumour parameters [9]. Several studies have shown an association between histological grade, a well-established indicator of tumour growth rates, and prognosis [11] [24] [25]. According to the results of the Swedish Two County Trial, the histological tumour grade at the time of diagnosis has a long-term effect on later survival, similar to nodal status and tumour size [26].

This prognostic significance of the histological grade is also reflected in the differences in reduction of breast cancer-specific mortality due to screening detection in the Swedish Two County trial. The reduction in screening-detected grade 3 tumours is 35%, in grade 2 tumours 32%, but in grade 1 tumours only 6% [11]. This grading-related effect is long-term in nature and contributes to the fact that the impact of screening programmes on breast cancer mortality can still be observed many years later; while the effect is strongest in the first 5 years, it can last for up to 15 years [26].

The results of the explorative TOSYMA subanalysis presented here show that in both study arms the breast cancer detection rates were higher for grade 2 or 3 breast cancers compared to grade 1 tumours. The difference achieved with DBT+SM vs. DM is greater for iCDR of tumours with grades 2 or 3 compared to grade 1. Early grade 1 breast cancers are more likely to contribute to overdiagnosis than grade 2 or grade 3 tumours; therefore, its rates among early tumour diagnoses in stage UICC I are of interest.

Unlike the above mentioned earlier TOSYMA subanalysis which assessed grade-dependent detection for the early UICC I tumour stage [9], this subanalysis includes screening-detected breast cancers of all tumour stages. The results are consistent: Screening leads to a higher detection rate of grade 2 or 3 tumours compared to grade 1 tumours, both in the detection of the early tumour stage and also when advanced tumour stages are included. DBT+SM achieved higher detection rates than DM, with the highest rates being observed with dense breast parenchyma [9]. Supplementary information of the TOSYMA study on prognostic parameters indicates that in the DBT+SM arm the higher iCDR in women with dense parenchyma is primarily based on the detection of screening-relevant grade 2 or grade 3 breast cancers and not on the detection of grade 1 tumours [27] [28]. While DBT+SM also increased the detection of grade 1 cancers compared to DM, the magnitude of the effect is smaller compared to that on the detection rate of more prognosis-relevant grade 2 or 3 cancers.

With almost 100000 participants, TOSYMA is the largest randomized controlled screening trial evaluating DBT+SM vs. DM conducted so far. It provides the opportunity to carry out supplementary analyses on the basis of a successful randomization. The pragmatic approach offers a high degree of external validity and also demonstrates its real-world feasibility, especially due to the inclusion of numerous screening units and device technologies. Radiology staff and physicians underwent special training prior to the start of the study. All investigators were experienced, with no differences between the two study arms or between the study and routine screening [17].

This study has limitations. TOSYMA analysed only one screening round; consequently, it is possible that the differences between the study arms are influenced by an initial prevalence screening effect with DBT+SM. In addition, there might be a learning curve in reading tomosynthesis images. Having access to the screening examination via the screening software, the TOSYMA readers were not blinded with regard to the study arm [17].


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Conclusion

The explorative analyses of this large, randomized trial indicate that DBT+SM screening increases the detection of prognostically more relevant breast cancers (TOSYMA-1). Once the follow-up data have been analysed in 2024/2025 (TOSYMA-2), we will be able to evaluate whether the higher breast cancer detection rates achieved with DBT+SM result in measurable differences in invasive interval cancer rates, an important surrogate indicator, between the two study arms.


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Acknowledgement

We would like to thank the German Research Foundation (Deutsche Forschungsgemeinschaft) for funding the randomized, controlled, clinical trial TOSYMA as well as all participating women. Special thanks go to the recruiting screening units and study centers, the interdisciplinary study team of the University of Münster (Clinic for Radiology, Institute of Epidemiology and Social Medicine, Institute of Biostatistics and Clinical Research, Center for Clinical Trials Münster) and the Data and Safety Monitoring Board represented by: Mary Andresen-Khanlian, Sonja Baier, Christina Barduna, Josiane Bedrossian-Pfingsten, Wilfried Belder, Stefan Bergeest, Wilfried Berning, Markus Blumenröther, Andrea Böhmert, Alexander Brand, Frank Brasch, Michael Bremme, Seyhan Cubukcu, Jörg Czwoydzinski, Bele Dablé, Caroline Dietz, Wilhelm Freitag, Margret Ganseforth, Daniel Gödde, Reinhard Golz, Axel Gräwingholt, Bettina Grundner, Regine Hacke, Stefan Hanning, H.-G. Heidecker, Bernhard Hemmerlein, Ingeborg Henseleit, Michael Hirning, Reinhard Hovestadt, Axel Ifflaender, Smaragdo Kapsimalakou, H.-U. Kasper, Uwe Keske, Bernd Kirchner, Guido Knapp, Ruth Knüchel-Clarke, Ulrich Krause, Miriam Krischke, Cornelius Kuhnen, Thomas Lehnen, Michael Leichsenring, Peter Liersch, Dorothea Meyer, Ulrike Meyer-Johann, Elke Nekolla, Frank Nellissen, Anja Peters, Annette Pfitzenmaier, Friederike Poche-de-Vos, Doris Polenske, Jost Porrmann, Peter Prodehl, Regine Rathmann, Joachim Ritter, Lars Rühe, Denise Rüther, Barbara Schaefer, Gudrun Schlake, Elke Schmidt-Eversheim, Filip Schmidt-Petersen, Harald Schulz, Kirsten Schulze, Regina Schwanitz-Gräwingholt, Per Skaane, Alexander Sommer, Karin Spieker, Simona Spital, Karl Struckmann, Markus Stuhrmann, Guido Süttmann, Renate Tewaag, Ulrike Theus, Thilo Töllner, Mark Tsesarskiy, Claudia Verloh, Bernd Weimar, Ingo Wendt, Jürgen Wiesmann, Cornelia Wunsch, Stephanie Zobel.

  • References

  • 1 Lauby-Secretan B, Scoccianti C, Loomis D. et al. Breast-cancer screening--viewpoint of the IARC Working Group. N Engl J Med 2015; 372: 2353-2358
  • 2 Marmot MG, Altman DG, Cameron DA. et al. The benefits and harms of breast cancer screening: an independent review. Br J Cancer 2013; 108: 2205-2240
  • 3 Waldmann A, Hübner J, Katalinic A. Trends Over Time in Breast-Cancer-Specific Mortality in Germany. Dtsch Arztebl Int 2021; 118: 538-539
  • 4 Perry N, Broeders M, de Wolf C. et al. European guidelines for quality assurance in breast cancer screening and diagnosis. 4th edn. Luxembourg: Office for Official Publications of the European Communities; 2006.
  • 5 Sung H, Ferlay J, Siegel RL. et al. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA Cancer J Clin 2021; 71: 209-249
  • 6 Chong A, Weinstein SP, McDonald ES. et al. Digital breast tomosynthesis: concepts and clinical practice. Radiology 2019; 292: 1-14
  • 7 Weigel S, Gerss J, Hense HW. et al. Digital breast tomosynthesis plus synthesised images vs. standard full-field digital mammography in population-based screening (TOSYMA): protocol of a randomised controlled trial. BMJ Open 2018;
  • 8 Heindel W, Weigel S, Gerß J. et al. Digital breast tomosynthesis plus synthesised mammography vs. digital screening mammography for the detection of invasive breast cancer (TOSYMA): a multicentre, open-label, randomised, controlled, superiority trial. Lancet Oncol 2022; 23: 601-611
  • 9 Weigel S, Heindel W, Decker T. et al. TOSYMA Screening Trial Study Group. Digital Breast Tomosynthesis vs. Digital Mammography for Detection of Early-Stage Cancers Stratified by Grade: A TOSYMA Subanalysis. Radiology 2023; 309 (03) e231533
  • 10 Arpino G, Milano M, De Placido S. Features of aggressive breast cancer. Breast 2015; 24: 594-600
  • 11 Tabar L, Chen TH, Yen AM. et al. Effect of Mammography Screening on Mortality by Histological Grade. Cancer Epidemiol Biomarkers Prev 2018; 27: 154-157
  • 12 Kerin EP, Davey MG, McLaughlin RP. et al. Comparison of the Nottingham Prognostic Index and OncotypeDX(c) recurrence score in predicting outcome in estrogen receptor positive breast cancer. Breast 2022; 66: 227-235
  • 13 Lemij AA, Baltussen JC, de Glas NA. et al. Gene expression signatures in older patients with breast cancer: A systematic review. Crit Rev Oncol Hematol 2023; 181: 103884
  • 14 Sparano JA, Crager MR, Tang G. et al. Development and Validation of a Tool Integrating the 21-Gene Recurrence Score and Clinical-Pathological Features to Individualize Prognosis and Prediction of Chemotherapy Benefit in Early Breast Cancer. J Clin Oncol 2021; 39: 557-564
  • 15 Taylor C, McGale P, Probert J. et al. Breast cancer mortality in 500 000 women with early invasive breast cancer diagnosed in England, 1993–2015: population based observational cohort study. BMJ 2023; 381: e074684
  • 16 Weigel S, Heindel W, Hense HW. et al. TOSYMA Screening Trial Study Group. Breast Density and Breast Cancer Screening with Digital Breast Tomosynthesis: A TOSYMA Trial Subanalysis. Radiology 2023; 306 (02) e221006
  • 17 Weigel S, Hense HW, Weyer-Elberich V. et al. Breast cancer screening with digital breast tomosynthesis: Is independent double reading still required?. Rofo 2024; 196 (08) 834-842
  • 18 D’Orsi CJ, Sickles EA, Mendelson EB. et al. ACR BI-RADS Atlas, Breast Imaging Reporting and Data System. 5th ed. Reston: VA: American College of Radiology; 2013
  • 19 Lee CH, Destounis SV, Friedewald SM. et al. DIGITAL BREAST TOMOSYNTHESIS (DBT) GUIDANCE, A supplement to ACR BI-RADS Atlas, Breast Imaging Reporting and Data System. 5th ed. Reston: VA: American College of Radiology; 2013
  • 20 Rakha EA, El-Sayed ME, Lee AH. et al. Prognostic significance of Nottingham histologic grade in invasive breast carcinoma. J Clin Oncol 2008; 26: 3153-3158
  • 21 Autier P, Boniol M, Koechlin A. et al. Effectiveness of and overdiagnosis from mammography screening in the Netherlands: population based study. BMJ 2017; 5: 359
  • 22 Puliti D, Duffy SW, Miccinesi G. et al. EUROSCREEN Working Group. Overdiagnosis in mammographic screening for breast cancer in Europe: a literature review. J Med Screen 2012; 19: 42-56
  • 23 Perry N, Broeders M, de Wolf C. et al. European guidelines for quality assurance in breast cancer screening and diagnosis. 4th ed. Luxembourg: Office for Official Publications of the European Communities; 2006
  • 24 Krishnamurti UG, Fitzgibbons PL, Connolly JL. College of American Pathologists - Protocol for the Examination of Biopsy Specimens from Patients with Invasive Carcinoma of the Breast Cancer Protocol Templates. Accessed April 25, 2024 at: https://www.cap.org/protocols-and-guidelines/cancer-reporting-tools/cancer-protocol-templates
  • 25 Henson DE, Ries L, Freedman LS. et al. Relationship among outcome, stage of disease, and histologic grade for 22,616 cases of breast cancer. The basis for a prognostic index. Cancer 1991; 68: 2142-2149
  • 26 Warwick J, Tabar L, Vitak B. et al. Time-dependent effects on survival in breast carcinoma: results of 20 years of follow-up from the Swedish Two-County Study. Cancer 2004; 100: 1331-1336
  • 27 Rafferty EA, Durand MA, Conant EF. et al. Breast cancer screening using tomosynthesis and digital mammography in dense and nondense breasts. JAMA 2016; 315: 1784-1786
  • 28 Østerås BH, Martinsen ACT, Gullien R. et al. Digital mammography vs. breast tomosynthesis: impact of breast density on diagnostic performance in population-based screening. Radiology 2019; 293: 60-68

Correspondence

Prof. Dr. med. Stefanie Weigel
Klinik für Radiologie und Referenzzentrum Mammographie Münster, Universität und Universitätsklinikum Münster
Albert-Schweitzer-Campus 1
48149 Münster
Deutschland   

Publication History

Article published online:
13 September 2024

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  • References

  • 1 Lauby-Secretan B, Scoccianti C, Loomis D. et al. Breast-cancer screening--viewpoint of the IARC Working Group. N Engl J Med 2015; 372: 2353-2358
  • 2 Marmot MG, Altman DG, Cameron DA. et al. The benefits and harms of breast cancer screening: an independent review. Br J Cancer 2013; 108: 2205-2240
  • 3 Waldmann A, Hübner J, Katalinic A. Trends Over Time in Breast-Cancer-Specific Mortality in Germany. Dtsch Arztebl Int 2021; 118: 538-539
  • 4 Perry N, Broeders M, de Wolf C. et al. European guidelines for quality assurance in breast cancer screening and diagnosis. 4th edn. Luxembourg: Office for Official Publications of the European Communities; 2006.
  • 5 Sung H, Ferlay J, Siegel RL. et al. Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA Cancer J Clin 2021; 71: 209-249
  • 6 Chong A, Weinstein SP, McDonald ES. et al. Digital breast tomosynthesis: concepts and clinical practice. Radiology 2019; 292: 1-14
  • 7 Weigel S, Gerss J, Hense HW. et al. Digital breast tomosynthesis plus synthesised images vs. standard full-field digital mammography in population-based screening (TOSYMA): protocol of a randomised controlled trial. BMJ Open 2018;
  • 8 Heindel W, Weigel S, Gerß J. et al. Digital breast tomosynthesis plus synthesised mammography vs. digital screening mammography for the detection of invasive breast cancer (TOSYMA): a multicentre, open-label, randomised, controlled, superiority trial. Lancet Oncol 2022; 23: 601-611
  • 9 Weigel S, Heindel W, Decker T. et al. TOSYMA Screening Trial Study Group. Digital Breast Tomosynthesis vs. Digital Mammography for Detection of Early-Stage Cancers Stratified by Grade: A TOSYMA Subanalysis. Radiology 2023; 309 (03) e231533
  • 10 Arpino G, Milano M, De Placido S. Features of aggressive breast cancer. Breast 2015; 24: 594-600
  • 11 Tabar L, Chen TH, Yen AM. et al. Effect of Mammography Screening on Mortality by Histological Grade. Cancer Epidemiol Biomarkers Prev 2018; 27: 154-157
  • 12 Kerin EP, Davey MG, McLaughlin RP. et al. Comparison of the Nottingham Prognostic Index and OncotypeDX(c) recurrence score in predicting outcome in estrogen receptor positive breast cancer. Breast 2022; 66: 227-235
  • 13 Lemij AA, Baltussen JC, de Glas NA. et al. Gene expression signatures in older patients with breast cancer: A systematic review. Crit Rev Oncol Hematol 2023; 181: 103884
  • 14 Sparano JA, Crager MR, Tang G. et al. Development and Validation of a Tool Integrating the 21-Gene Recurrence Score and Clinical-Pathological Features to Individualize Prognosis and Prediction of Chemotherapy Benefit in Early Breast Cancer. J Clin Oncol 2021; 39: 557-564
  • 15 Taylor C, McGale P, Probert J. et al. Breast cancer mortality in 500 000 women with early invasive breast cancer diagnosed in England, 1993–2015: population based observational cohort study. BMJ 2023; 381: e074684
  • 16 Weigel S, Heindel W, Hense HW. et al. TOSYMA Screening Trial Study Group. Breast Density and Breast Cancer Screening with Digital Breast Tomosynthesis: A TOSYMA Trial Subanalysis. Radiology 2023; 306 (02) e221006
  • 17 Weigel S, Hense HW, Weyer-Elberich V. et al. Breast cancer screening with digital breast tomosynthesis: Is independent double reading still required?. Rofo 2024; 196 (08) 834-842
  • 18 D’Orsi CJ, Sickles EA, Mendelson EB. et al. ACR BI-RADS Atlas, Breast Imaging Reporting and Data System. 5th ed. Reston: VA: American College of Radiology; 2013
  • 19 Lee CH, Destounis SV, Friedewald SM. et al. DIGITAL BREAST TOMOSYNTHESIS (DBT) GUIDANCE, A supplement to ACR BI-RADS Atlas, Breast Imaging Reporting and Data System. 5th ed. Reston: VA: American College of Radiology; 2013
  • 20 Rakha EA, El-Sayed ME, Lee AH. et al. Prognostic significance of Nottingham histologic grade in invasive breast carcinoma. J Clin Oncol 2008; 26: 3153-3158
  • 21 Autier P, Boniol M, Koechlin A. et al. Effectiveness of and overdiagnosis from mammography screening in the Netherlands: population based study. BMJ 2017; 5: 359
  • 22 Puliti D, Duffy SW, Miccinesi G. et al. EUROSCREEN Working Group. Overdiagnosis in mammographic screening for breast cancer in Europe: a literature review. J Med Screen 2012; 19: 42-56
  • 23 Perry N, Broeders M, de Wolf C. et al. European guidelines for quality assurance in breast cancer screening and diagnosis. 4th ed. Luxembourg: Office for Official Publications of the European Communities; 2006
  • 24 Krishnamurti UG, Fitzgibbons PL, Connolly JL. College of American Pathologists - Protocol for the Examination of Biopsy Specimens from Patients with Invasive Carcinoma of the Breast Cancer Protocol Templates. Accessed April 25, 2024 at: https://www.cap.org/protocols-and-guidelines/cancer-reporting-tools/cancer-protocol-templates
  • 25 Henson DE, Ries L, Freedman LS. et al. Relationship among outcome, stage of disease, and histologic grade for 22,616 cases of breast cancer. The basis for a prognostic index. Cancer 1991; 68: 2142-2149
  • 26 Warwick J, Tabar L, Vitak B. et al. Time-dependent effects on survival in breast carcinoma: results of 20 years of follow-up from the Swedish Two-County Study. Cancer 2004; 100: 1331-1336
  • 27 Rafferty EA, Durand MA, Conant EF. et al. Breast cancer screening using tomosynthesis and digital mammography in dense and nondense breasts. JAMA 2016; 315: 1784-1786
  • 28 Østerås BH, Martinsen ACT, Gullien R. et al. Digital mammography vs. breast tomosynthesis: impact of breast density on diagnostic performance in population-based screening. Radiology 2019; 293: 60-68

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Fig. 1 Flowchart of randomization in der TOSYMA study and inclusion in this subanalysis. TOSYMA: TOmosynthesis plus SYnthesized MAmmography trial; DBT+SM: digital breast tomosynthesis and synthetic mammography; DM: digital mammography.
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Fig. 2 Comparative invasive breast cancer detection rates with stratification by histological grade and breast density for the two arms of the TOSYMA study. DM: digital mammography; DBT+SM: digital breast tomosynthesis and synthetic mammography; G: histological grade; A+B non-dense breast; C+D: dense breast.
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Fig. 3 Digital breast tomosynthesis of the right breast in a craniocaudal (cc) and b mediolateral oblique (MLO) views. In the individual slices, an architectural distortion is noted in the right upper lateral aspect in both views. Histology: invasive lobular breast cancer, pT2 (31 mm), pN0, cM0, G2.
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Abb. 1 Flussdiagramm zur Randomisierung in der TOSYMA-Studie und zum Einschluss in die aktuelle Subanalyse. TOSYMA: TOmosynthesis plus SYnthesized MAmmography trial; DBT+SM: Digitale Brusttomosynthese und synthetische Mammografie; DM: Digitale Mammografie.
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Abb. 2 Vergleichende Detektionsraten invasiver Mammakarzinome mit Stratifizierung nach histologischem Grad und Brustparenchymdichte beider TOSYMA-Studienarme. DM: Digitale Mammografie; DBT+SM: Digitale Brusttomosynthese und synthetische Mammografie; G: Histologischer Grad; A+B: Nicht dichte Brust; C+D: Dichte Brust.
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Abb. 3 . Digitale Brust-Tomosynthese der rechten Brust im a cranio-caudalen (cc) und b mediolateral-obliquen (mlo) Strahlengang. In den Einzelschichten stellt sich rechts oben außen in beiden Projektionsebenen eine Architekturstörung dar. Histologie: Invasiv lobuläres Mammakarzinom, pT2 (31 mm), pN0, cM0, G2.