Interval breast cancers in the Screening Mammography Program of British Columbia: analysis and classification.

1994 ◽  
Vol 162 (5) ◽  
pp. 1067-1071 ◽  
Author(s):  
H J Burhenne ◽  
L W Burhenne ◽  
F Goldberg ◽  
T G Hislop ◽  
A J Worth ◽  
...  
Keyword(s):  
British Columbia ◽  
Screening Mammography ◽  
Breast Cancers

Does the extent of therapy differ between breast cancers detected by screening mammogram and non-screening methods?

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. 1544-1544
Author(s):  
Wendie-Lou D. Den Brok ◽  
Caroline Speers ◽  
Lovedeep Gondara ◽  
Alan Nichol ◽  
Christine Wilson ◽  
...  
Keyword(s):  
Breast Cancer ◽  
British Columbia ◽  
Overall Survival ◽  
Screening Mammography ◽  
Screening Methods ◽  
Breast Cancers ◽  
Screening Programs ◽  
Lower Stage ◽  
Cancer Agency ◽  
Overall Survival Benefit

1544 Background: There is ongoing debate about the role of screening mammography and its impact on overall survival in breast cancer. We hypothesized that women with screen-detected breast cancers (SDBC) receive less surgery, regional radiotherapy (RRT), and chemotherapy (CH) than women with non-screen-detected breast cancers (NSDBC). Less therapy equates to less personal and societal burden, including less time away from work, fewer side effects, lower health care and disability costs, and reduced psychosocial distress. These may be adequate justification for screening programs even in the absence of an overall survival benefit. Methods: Women aged 40-79 years with stage 0-III breast cancers diagnosed between 2007-2012 and referred to the British Columbia Cancer Agency were identified using the Breast Cancer Outcomes Unit database. Clinical and tumor characteristics and type/extent of treatment were extracted. Linkage with the Screening Mammography Program of British Columbia segregated cases into SDBCs and NSDBCs. Interval breast cancers arising in regularly screened women (minimum 2-year interval) were excluded. Results: We identified 12,393 women; 7807 with SDBC and 4586 with NSDBC. Compared with NSDBCs, SDBCs were lower stage, less often treated with mastectomy and CH, and occurred in slightly older women (Table 1). SDBC received more radiation than NSDBC. Conclusions: Women with NSDBC are more likely to present with higher stage breast cancer. Rates of mastectomy and CH were 20% higher in NSDBC whereas SDBC had a modest 5% higher rate of RRT. These findings suggest that screening mammography decreases the extent of local and systemic treatment for breast cancer. [Table: see text]

scholarly journals Difficulties of radiological diagnosis оf small breast cancers

2021 ◽  
Vol 20 (2) ◽  
pp. 49-53
Author(s):  
Т. N. Leikht ◽  
G. I. Bratnikova ◽  
Р. S. Gomina ◽  
N. S. Kosolapova ◽  
К. A. Tihaya ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Soft Tissues ◽  
Correct Diagnosis ◽  
Screening Mammography ◽  
Diagnostic Methods ◽  
Benign Tumors ◽  
Breast Cancers ◽  
Vertical Orientation ◽  
Small Breast ◽  
Ultrasound Scanner

Introduction. Breast cancer in the structure of malignancies in women takes the 1st place. There has been an annual increase in morbidity, including due to improvements in diagnostic interventions and screening. Mammography and ultrasound of the breasts is mandatory when diagnosing breast cancer. The difficulties of diagnosis are revealed in small tumors.Methods. Breast ultrasounds were performed on the ultrasound machines of the expert class TOSHIBA APLIO 500, PHILIPS EPIQ 5 and PHILIPS EPIQ 7. Mammography and tomosynthesis were performed on mammogram MAMMOMAT INSPITATION PRIME. Core-biopsia under ultrasound control was carried out on the Logiq9 ultrasound scanner. Eighty women were selected with suspected cancer after breast core-biopsy with the category BI-RADS 3, 4 and 5. The size of the node according to ultrasound data was 6-10 mm.Results. According to core-biopsia has been identified cancer, histologically and immunohystochemically confirmed in 50 cases. In 30 women benign tumors were identified. The most informative mammograms of breast cancer were high tumor density, ray of radiibility and local deformity of soft tissues. Among the characteristic ultrasonic signs of the cancer more often noted vertical orientation, reduced echogenicity, uneven contour, other signs were not so character for the cancer.Conclusion. You can't focus on a separate sign of education! Only a combination of traits, different diagnostic methods contribute to the correct diagnosis.

scholarly journals Mammographic features and histopathological findings of interval breast cancers

2008 ◽  
Vol 49 (9) ◽  
pp. 975-981 ◽  
Author(s):  
S. Hofvind ◽  
B. Geller ◽  
P. Skaane
Keyword(s):  
Screening Program ◽  
Lymph Node Involvement ◽  
Screening Mammography ◽  
Tumor Characteristics ◽  
Breast Cancers ◽  
Interval Cancers ◽  
True Negative ◽  
Node Involvement ◽  
Screening Mammograms ◽  
Baseline Screening

Background: Interval cancers are considered a shortcoming in screening mammography due to less favorable prognostic tumor characteristics compared to screening-detected cancers and consequently a lower chance of survival from the disease. Purpose: To describe the mammographic features and prognostic histopathological tumor characteristics of interval breast cancers. Material and Methods: A total of 231 interval breast cancer cases diagnosed in prevalently screened women aged 50–69 years old were examined. Thirty-five percent of the cases were retrospectively classified as missed cancers, 23% as minimal sign, and 42% as true negative (including occult cancers) in a definitive classification performed by six experienced breast radiologists. The retrospective classification described the mammographic features of the baseline screening mammograms in missed and minimal-sign interval cancers, while histopathological reports were used to describe the tumor characteristics in all the subgroups of interval cancers. Results: Fifty percent of the missed and minimal-sign interval cancers combined presented poorly defined mass or asymmetric density, and 26% calcifications with or without associated density or mass at baseline screening. Twenty-seven percent of invasive tumors were <15 mm for missed and 47% for true interval cancers ( P<0.001). Lymph node involvement was more common in missed (49%) compared with the true cases (33%, P<0.05). Conclusion: Missed interval cancers have less prognostically favorable histopathological tumor characteristics compared with true interval cancers. Improving the radiologist's perception and interpretation by establishing systematic collection of features and implementation of organized reviews may decrease the number of interval cancers in a screening program.

The effect of mammography screening regimen on incidence-based breast cancer mortality

2018 ◽  
Vol 25 (4) ◽  
pp. 197-204 ◽  
Author(s):  
Martin J Yaffe ◽  
Nicole Mittmann ◽  
Oguzhan Alagoz ◽  
Amy Trentham-Dietz ◽  
Anna NA Tosteson ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Mortality ◽  
Breast Cancer Incidence ◽  
Temporal Distribution ◽  
Screening Mammography ◽  
Breast Cancers ◽  
Breast Cancer Death ◽  
Life Years ◽  
Life Years Lost ◽  
The Mean

Objectives Incidence-based mortality quantifies the distribution of cancer deaths and life-years lost, according to age at detection. We investigated the temporal distribution of the disease burden, and the effect of starting and stopping ages and interval between screening mammography examinations, on incidence-based mortality. Methods Incidence-based mortality was estimated using an established breast cancer simulation model, adapted and validated to simulate breast cancer incidence, screening performance, and delivery of therapies in Canada. Ten strategies were examined, with varying starting age (40 or 50), stopping age (69 or 74), and interval (1, 2, 3 years), and “No Screening.” Life-years lost were computed as the difference between model predicted time of breast cancer death and that estimated from life tables. Results Without screening, 70% of the burden in terms of breast cancer deaths extends between ages 45 and 75. The mean of the distribution of ages of detection of breast cancers that will be fatal in an unscreened population is 61.8 years, while the mean age of detection weighted by the number of life-years lost is 55, a downward shift of 6.8 years. Similarly, the mean age of detection for the distribution of life-years gained through screening is lower than that for breast cancer deaths averted. Conclusion Incidence-based mortality predictions from modeling elucidate the age dependence of the breast cancer burden and can provide guidance for optimizing the timing of screening regimens to achieve maximal impact. Of the regimens studied, the greatest lifesaving effect was achieved with annual screening beginning at age 40.

scholarly journals Breast Cancer Detection using Image Processing Techniques

2017 ◽  
Vol 10 (2) ◽  
pp. 391-399 ◽  
Author(s):  
Prannoy Giri ◽  
K. Saravanakumar
Keyword(s):  
Breast Cancer ◽  
Image Processing ◽  
Back Propagation ◽  
Texture Features ◽  
Screening Mammography ◽  
Breast Cancers ◽  
Back Propagation Algorithm ◽  
Digital Database ◽  
Processing Techniques ◽  
Aided Diagnosis

Breast Cancer is one of the significant reasons for death among ladies. Many research has been done on the diagnosis and detection of breast cancer using various image processing and classification techniques. Nonetheless, the disease remains as one of the deadliest disease. Having conceive one out of six women in her lifetime. Since the cause of breast cancer stays obscure, prevention becomes impossible. Thus, early detection of tumour in breast is the only way to cure breast cancer. Using CAD (Computer Aided Diagnosis) on mammographic image is the most efficient and easiest way to diagnosis for breast cancer. Accurate discovery can effectively reduce the mortality rate brought about by using mamma cancer. Masses and microcalcifications clusters are an important early symptoms of possible breast cancers. They can help predict breast cancer at it’s infant state. The image for this work is being used from the DDSM Database (Digital Database for Screening Mammography) which contains approximately 3000 cases and is being used worldwide for cancer research. This paper quantitatively depicts the analysis methods used for texture features for detection of cancer. These texture featuresare extracted from the ROI of the mammogram to characterize the microcalcifications into harmless, ordinary or threatening. These features are further decreased using Principle Component Analysis(PCA) for better identification of Masses. These features are further compared and passed through Back Propagation algorithm (Neural Network) for better understanding of the cancer pattern in the mammography image.

scholarly journals The Mode of Detection Is Not Associated with Quality of Life in Women with Breast Cancer

Breast Care ◽  
2019 ◽  
Vol 15 (5) ◽  
pp. 498-505
Author(s):  
Bettina Braun ◽  
Marc-André Kurosinski ◽  
Laura Khil ◽  
Joke Tio ◽  
Barbara Krause-Bergmann ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Quality Of Life ◽  
Tumor Stage ◽  
Screening Mammography ◽  
Influential Factors ◽  
Breast Cancers ◽  
Interval Cancers ◽  
Screening Programs ◽  
Mode Of Detection

Introduction: Apart from saving lives, mammography screening programs (MSP) are expected to reduce negative side effects of treatment by detecting cancer earlier, when it is more responsive to less aggressive treatment. This study compared quality of life (QoL) among women with breast cancers that were detected either by screening mammography, as interval cancers, or clinically among women not participating in the MSP. Methods: Retrospective study of first-ever invasive breast cancers detected among MSP-eligible women aged 50–69 years between 2006 and 2012 in Münster, Germany. EORTC QLQ-C30 and -BR23 questionnaires were mailed to 1,399 cases still alive in 2015 (response rate 64.1%). Results: Women’s responses were obtained on average 6.1 years after diagnosis. Mean crude and age-adjusted scores for overall QoL, breast and body image (BBI), and five functional scales (FS) were comparable between groups of detection mode. Clearly lower adjusted means for most scores were observed in women with interval cancers, if time since diagnosis was less than 5 years. Cases younger than 60 years showed lower values for some FS, particularly among interval and screen-detected cases. Discussion/Conclusion: In summary, cases with breast cancer showed health-related score values that were similar to the general population of the same age. There was also no indication that mode of detection markedly influenced these scores. However, after adjusting for tumor stage and other influential factors, screening participants appeared more susceptible to score declines after a diagnosis of cancer than non-participants.

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