Primary breast cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up

This guideline from the USPSTF is based on current evidence on mammography, digital breast tomography, and supplemental screening for breast cancer. The recommendations apply to asymptomatic women ...

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Screening for Breast Cancer: U.S. Preventive Services Task Force Recommendation Statement

This review is an abbreviated version of a report prepared for the American Cancer Society Global Health department and EMD Serono, Inc., a subsidiary of Merck KGaA, Darmstadt, Germany, which was released at the Union for International Cancer Control World Cancer Congress in Paris in November 2016. The original report can be found at https://www.cancer.org/health-care-professionals/our-global-health-work/global-cancer-burden/global-burden-of-cancer-in-women.html. Staff in the Intramural Research Department of the American Cancer Society designed and conducted the study, including analysis, interpretation, and presentation of the review. The funding sources had no involvement in the study design, data analysis and interpretation, or preparation of the reviewThere are striking disparities in the global cancer burden in women, yet few publications highlight cancer occurrence in this population, particularly for cancers that are not sex specific. This article, the first in a series of two, summarizes the current burden, trends, risk factors, prevention, early detection, and survivorship of all cancers combined and seven sites (breast, cervix, uterine corpus, ovary, colorectum, lung, and liver) that account for about 60% of the cancer burden among women worldwide, using data from the International Agency for Research on Cancer. Estimated 2012 overall cancer death rates in general are higher among women in low- and middle-income countries (LMICs) than high-income countries (HICs), despite their lower overall incidence rates, largely due to inadequate access to early detection and treatment. For example, the top mortality rates are in Zimbabwe (147 deaths per 100,000) and Malawi (138). Furthermore, incidence rates of cancers associated with economic development (e.g., lung, breast, colorectum) are rising in several LMICs. The burden of cancer among women could be substantially reduced in both HICs and LMICs through broad and equitable implementation of effective interventions, including tobacco control, HPV and HBV vaccination, and screening (breast, cervix, and colorectum). Cancer Epidemiol Biomarkers Prev; 26(4); 444-57. ©2017 AACRSee related article by Islami et al. in this CEBP Focus section, "Global Cancer in Women."

https://cebp.aacrjournals.org/content/cebp/26/4/444.full.pdf

Global Cancer in Women: Burden and Trends

Background Artificial intelligence (AI) systems performing at radiologist-like levels in the evaluation of digital mammography (DM) would improve breast cancer screening accuracy and efficiency. We aimed to compare the stand-alone performance of an AI system to that of radiologists in detecting breast cancer in DM. Methods Nine multi-reader, multi-case study datasets previously used for different research purposes in seven countries were collected. Each dataset consisted of DM exams acquired with systems from four different vendors, multiple radiologists' assessments per exam, and ground truth verified by histopathological analysis or follow-up, yielding a total of 2652 exams (653 malignant) and interpretations by 101 radiologists (28 296 independent interpretations). An AI system analyzed these exams yielding a level of suspicion of cancer present between 1 and 10. The detection performance between the radiologists and the AI system was compared using a noninferiority null hypothesis at a margin of 0.05. Results The performance of the AI system was statistically noninferior to that of the average of the 101 radiologists. The AI system had a 0.840 (95% confidence interval [CI] = 0.820 to 0.860) area under the ROC curve and the average of the radiologists was 0.814 (95% CI = 0.787 to 0.841) (difference 95% CI = -0.003 to 0.055). The AI system had an AUC higher than 61.4% of the radiologists. Conclusions The evaluated AI system achieved a cancer detection accuracy comparable to an average breast radiologist in this retrospective setting. Although promising, the performance and impact of such a system in a screening setting needs further investigation.

Stand-Alone Artificial Intelligence for Breast Cancer Detection in Mammography: Comparison With 101 Radiologists.

Summary Background Carriers of a germline TP53 pathogenic variant have a substantial lifetime risk of developing cancer. In 2011, we did a prospective observational study of members of families who chose to either undergo a comprehensive surveillance protocol for individuals with Li-Fraumeni syndrome or not. We sought to update our assessment of and modify the surveillance protocol, so in this study we report both longer follow-up of these patients and additional patients who underwent surveillance, as well as update the originally presented surveillance protocol. Methods A clinical surveillance protocol using physical examination and frequent biochemical and imaging studies (consisting of whole-body MRI, brain MRI, breast MRI, mammography, abdominal and pelvic ultrasound, and colonoscopy) was introduced at three tertiary care centres in Canada and the USA on Jan 1, 2004, for carriers of TP53 pathogenic variants. After confirmation of TP53 mutation, participants either chose to undergo surveillance or chose not to undergo surveillance. Patients could cross over between groups at any time. The primary outcome measure was detection of asymptomatic tumours by surveillance investigations. The secondary outcome measure was 5 year overall survival established from a tumour diagnosed symptomatically (in the non-surveillance group) versus one diagnosed by surveillance. We completed survival analyses using an as-treated approach. Findings Between Jan 1, 2004, and July 1, 2015, we identified 89 carriers of TP53 pathogenic variants in 39 unrelated families, of whom 40 (45%) agreed to surveillance and 49 (55%) declined surveillance. 19 (21%) patients crossed over from the non-surveillance to the surveillance group, giving a total of 59 (66%) individuals undergoing surveillance for a median of 32 months (IQR 12–87). 40 asymptomatic tumours have been detected in 19 (32%) of 59 patients who underwent surveillance. Two additional cancers were diagnosed between surveillance assessments (false negatives) and two biopsied lesions were non-neoplastic entities on pathological review (false positives). Among the 49 individuals who initially declined surveillance, 61 symptomatic tumours were diagnosed in 43 (88%) patients. 21 (49%) of the 43 individuals not on surveillance who developed cancer were alive compared with 16 (84%) of the 19 individuals undergoing surveillance who developed cancer (p=0·012) after a median follow-up of 46 months (IQR 22–72) for those not on surveillance and 38 months (12–86) for those on surveillance. 5 year overall survival was 88·8% (95% CI 78·7–100) in the surveillance group and 59·6% (47·2–75·2) in the non-surveillance group (p=0·0132). Interpretation Our findings show that long-term compliance with a comprehensive surveillance protocol for early tumour detection in individuals with pathogenic TP53 variants is feasible and that early tumour detection through surveillance is associated with improved long-term survival. Incorporation of this approach into clinical management of these patients should be considered. Funding Canadian Institutes for Heath Research, Canadian Cancer Society, Terry Fox Research Institute, SickKids Foundation, and Soccer for Hope Foundation.

Biochemical and imaging surveillance in germline TP53 mutation carriers with Li-Fraumeni syndrome: 11 year follow-up of a prospective observational study.

The International Agency for Research on Cancer (IARC) has updated its 2002 guidelines on screening for breast cancer, drawing on data from studies completed in the past 15 years.

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Lamia Benbrahim‑Tallaa

Papers

Breast-Cancer Screening — Viewpoint of the IARC Working Group