scholarly journals Quality of mammography screening in the Milan programme: Evidence of improved sensitivity based on interval cancer proportional incidence and radiological review

The Breast ◽  
2009 ◽  
Vol 18 (3) ◽  
pp. 208-210 ◽  
Author(s):  
Pirola Maria Elena ◽  
Houssami Nehmat ◽  
Maltagliati Ermes ◽  
Ceresa Piera ◽  
Quattrocchi Maria ◽  
...  
2011 ◽  
Vol 116 (8) ◽  
pp. 1217-1225 ◽  
Author(s):  
M. Pellegrini ◽  
D. Bernardi ◽  
S. Di Michele ◽  
P. Tuttobene ◽  
C. Fantò ◽  
...  

2019 ◽  
Vol 26 (1) ◽  
pp. 107327481987412
Author(s):  
Laura Steponaviciene ◽  
Ieva Vincerzevskiene ◽  
Ruta Briediene ◽  
Vincas Urbonas ◽  
Rasa Vanseviciute-Petkeviciene ◽  
...  

Objective: Analysis of interval cancers is critical in determining the sensitivity of screening and represents an objective measure of the quality of mammography screening program (MSP). Methods: Period analyzed: from 2006 to 2012. The rate of screen-detected, interval cancers and program sensitivity were measured. A comparison of screen-detected and interval cancers was performed. Results: During the period of the study, 429 473 women were screened and 1297 were found to have cancer. The overall screen-detected cancer rate was 30.2 per 10 000 women screened. Four hundred thirty-one case of interval cancers have occurred during the period of the study. The interval cancer ratio (ICR) was 0.25. Overall sensitivity of MSP amounted to 75.1%. Slightly lower sensitivity was found among the youngest age-group, especially for those with lobular cancers. Interval cancers were bigger in size, more often with metastases in lymph nodes, than screen-detected cancers, but these differences were not statistically significant. Conclusions: Overall program sensitivity in Lithuania is about 75%, ICR is 0.25, and these parameters are comparable to other European countries.


2020 ◽  
pp. 096914132094605
Author(s):  
Lauro Bucchi ◽  
Alessandra Ravaioli ◽  
Flavia Baldacchini ◽  
Orietta Giuliani ◽  
Silvia Mancini ◽  
...  

Objective To estimate the proportional incidence (PI) of first- and second-year interval breast cancer among women aged 45–49. Methods In the Emilia-Romagna Region (northern Italy), women aged 45–49 are invited to mammography screening annually, and women aged 50–74 biennially. For younger ones, the proportional incidence of interval cancer in the first and unique interval year was calculated using standard methods. For the second, hypothetical year, it was estimated using two different estimates of the ratio between the second- and the first-year proportional incidence observed among women aged 50–54. Overall, 567,151 negative mammography records were used. Results In the first interval year, the observed proportional incidence of interval cancer among women aged 45–49 was 0.27 (95% confidence interval (CI), 0.22–0.33), within the European limit considered desirable for women aged 50–69 (<0.30). In the second, hypothetical interval year, the estimated proportional incidence ranged from 0.61 (95% CI, 0.43–0.86) to 0.48 (95% CI, 0.31–0.76) depending on whether the estimate was based on data from the pre-digital or digital era, respectively. Conclusion The more up-to-date estimate of 0.48, slightly below the maximum limit considered acceptable for women aged 50–69 (<0.50), suggests that a screening interval of two years may also be an acceptable option for women aged 45–49.


Author(s):  
Kristina Lång ◽  
Solveig Hofvind ◽  
Alejandro Rodríguez-Ruiz ◽  
Ingvar Andersson

Abstract Objectives To investigate whether artificial intelligence (AI) can reduce interval cancer in mammography screening. Materials and methods Preceding screening mammograms of 429 consecutive women diagnosed with interval cancer in Southern Sweden between 2013 and 2017 were analysed with a deep learning–based AI system. The system assigns a risk score from 1 to 10. Two experienced breast radiologists reviewed and classified the cases in consensus as true negative, minimal signs or false negative and assessed whether the AI system correctly localised the cancer. The potential reduction of interval cancer was calculated at different risk score thresholds corresponding to approximately 10%, 4% and 1% recall rates. Results A statistically significant correlation between interval cancer classification groups and AI risk score was observed (p < .0001). AI scored one in three (143/429) interval cancer with risk score 10, of which 67% (96/143) were either classified as minimal signs or false negative. Of these, 58% (83/143) were correctly located by AI, and could therefore potentially be detected at screening with the aid of AI, resulting in a 19.3% (95% CI 15.9–23.4) reduction of interval cancer. At 4% and 1% recall thresholds, the reduction of interval cancer was 11.2% (95% CI 8.5–14.5) and 4.7% (95% CI 3.0–7.1). The corresponding reduction of interval cancer with grave outcome (women who died or with stage IV disease) at risk score 10 was 23% (8/35; 95% CI 12–39). Conclusion The use of AI in screen reading has the potential to reduce the rate of interval cancer without supplementary screening modalities. Key Points • Retrospective study showed that AI detected 19% of interval cancer at the preceding screening exam that in addition showed at least minimal signs of malignancy. Importantly, these were correctly localised by AI, thus obviating supplementary screening modalities. • AI could potentially reduce a proportion of particularly aggressive interval cancers. • There was a correlation between AI risk score and interval cancer classified as true negative, minimal signs or false negative.


2008 ◽  
Vol 17 (5) ◽  
pp. 801-814 ◽  
Author(s):  
Amy E. Bonomi ◽  
Denise M. Boudreau ◽  
Paul A. Fishman ◽  
Evette Ludman ◽  
Amy Mohelnitzky ◽  
...  

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Christian Herrmann ◽  
Rudolf Morant ◽  
Esther Walser ◽  
Mohsen Mousavi ◽  
Beat Thürlimann

Abstract Background A recent study found an influence of organized mammography screening programmes (MSPs) on geographical and temporal variation of mastectomy rates. We aimed to quantify the effect on the example of one of the cantonal programmes in Switzerland. Methods We used incidence data for the years 2010–2017 from the cancer registry of Eastern Switzerland. We included women with invasive-non-metastatic breast cancer (BC) in the screening age group 50–69-year-olds in the canton of St.Gallen. We compared mastectomy rates among cancer patients detected through the organised screening programme (MSP) vs. otherwise detected by stage. Results MSP-detected patients in St.Gallen presented with lower stages. 95% of MSP-detected had stages I-II vs 76% of Non-MSP-detected. Within all non-metastatic stage, tumour size and nodal status groups, MSP-detected patients had lower mastectomy rates, overall 10% vs 24% in 50–69-year-old non-participants. Their odds of receiving a mastectomy are about half of the Non-MSP-detected (OR = 0.48, p = 0.002). Conclusions Our study showed that MSPs have a positive effect on lowering mastectomy rates. Screening participants are significantly less likely to receive a mastectomy compared to non-participants, which must be attributed to additional factors than just lower stages. Lower mastectomy rates lead to a higher quality of life for many patients.


2005 ◽  
Vol 12 (1) ◽  
pp. 43-49 ◽  
Author(s):  
Sven Törnberg ◽  
Mary Codd ◽  
Vitor Rodrigues ◽  
Nereo Segnan ◽  
Antonio Ponti

Objectives: The purpose of the present study was to estimate the interval cancer (IC) rates in four population-based mammography screening programmes in four countries with different health-care environments, different access to cancer registry data, and different age groupsof women invited. Setting: The screening programmes in Coimbra (Portugal), Dublin (Ireland), Stockholm (Sweden), and Turin (Italy) participated in the study. Methods: All cancer cases were searched for in cancer registries. IC rates and other outcome measures from the screeningprogrammes were estimated and compared between the centres. Poisson regression model was used to estimate the proportional incidence based on IC rate in relation to expected total breast cancer incidence rate in the absence of screening. Results: There was a more than tenfold difference inthe number of invited women at the first round between the involved centres. The IC rates varied between 4.3 and 23.8 per 10,000 women screened. The levels of IC rates in relation to the estimated background incidence varied from 0.35 up to 0.46 depending on age groups involved in the programme,but did not differ significantly between three of the four involved centres. Conclusions: IC rates were quite similar between three of the four centres despite the differences in target population, invited ages, length of building-up of the programmes and different health-care organizations.Different access to complete cancer registry data is likely to explain the lower IC rates in the fourth centre.


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