Differences in breast cancer risk after benign breast disease by type of screening diagnosis

Louro, Javier; Román, Marta; Posso, Margarita; Comerma, Laura; Vidal, Carmen; Saladié, Francina; Alcántara, Rodrigo; Sánchez, Mar; Quintana, María Jesús Mures; Riego, Javier del; Ferrer, Joana; Peñalva, Lupe; Bargalló, Xavier; Prieto, Miguel J.; Sala, María; Castells, Xavier

doi:10.1016/j.breast.2020.09.005

Cited by 14 publications

(14 citation statements)

References 24 publications

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“…The proportion of benign biopsies in Norway was in between, and not unexpectedly far from, those reported in Spain 39 and in Vermont, The United States. 40 Among women included in our study, and, if any, these changes were not accounted for by our design.…”

Section: Discussionmentioning

confidence: 56%

“…The proportion of benign biopsies in Norway was in between, and not unexpectedly far from, those reported in Spain 39 and in Vermont, The United States 40 . Among women included in our study, lesions with atypia or LCIS were surgically excised, and women with DCIS were treated with mastectomy or breast conserving treatment with or without radiotherapy.…”

Section: Discussionmentioning

confidence: 67%

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Can breast cancer be stopped? Modifiable risk factors of breast cancer among women with a prior benign or premalignant lesion

Lilleborge

Falk

Sørlie

et al. 2021

Intl Journal of Cancer

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Physical inactivity, high postmenopausal body mass index, alcohol consumption and use of menopausal hormone therapy are established risk factors for breast cancer.Less is known about whether these factors influence the risk of progression of benign and premalignant breast lesions to invasive breast cancer. This registry-based cohort study was based on women with a precancerous lesion who were followed for breast cancer. The cohort consisted of 11 270 women with a benign lesion, 972 women with hyperplasia with atypia and 2379 women with carcinoma in situ diagnosed and treated after participation in BreastScreen Norway, 2006-2016. Information on breast cancer risk factors was collected by a questionnaire administered with the invitation letter. Cox regression analysis was used to estimate the association between breast cancer and physical activity, body mass index, alcohol consumption, tobacco smoking and menopausal hormone therapy, adjusted for age. During follow-up, 274 women with a benign lesion, 34 women with hyperplasia with atypia and 118 women with carcinoma in situ were diagnosed with invasive breast cancer.We observed an increased risk of breast cancer associated with use of menopausal hormone therapy for women with a benign or premalignant lesion. Alcohol consumption and tobacco smoking showed suggestive increased risk of breast cancer among women with a benign lesion. We were only to a limited degree able to identify associations between modifiable risk factors of breast cancer and the disease among women with a precancerous lesion, and a larger study is needed to confirm or refute associations.

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Section: Discussionmentioning

confidence: 56%

Section: Discussionmentioning

confidence: 67%

Can breast cancer be stopped? Modifiable risk factors of breast cancer among women with a prior benign or premalignant lesion

Lilleborge

Falk

Sørlie

et al. 2021

Intl Journal of Cancer

View full text Add to dashboard Cite

show abstract

“…In addition, a history of benign or in-situ growth was associated with an increased cancer risk in the overall cohort. The progression of benign growths to malignant cancers is most studied among women with benign breast disease, who have been found to have more than twice the risk of developing subsequent breast cancer compared to their counterparts who do not have benign breast disease [ 27 ]. A similar association with higher cancer risk was also observed with a history of renal cysts, which have a risk of developing into renal cell carcinomas [ 28 , 29 ].…”

Section: Discussionmentioning

confidence: 99%

Cancer incidence in immunocompromised patients: a single-center cohort study

et al. 2023

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Background Diminished immune defense plays an important role in cancer development. Cancer risk in immunocompromised patients may differ. Identifying individuals with elevated cancer risk can inform strategies for routine cancer screening. This study aimed to understand and compare cancer incidence and risk in three patient groups: recipients of solid organ transplant (SOT) or hematopoietic stem cell transplant (HSCT); diagnosis of primary or secondary immunodeficiency disorder (PID/SID); and recipients of tumor necrosis factor inhibitor (TNF-i) therapy. Methods This retrospective cohort study used the University of Utah Health System database and Huntsman Cancer Institute tumor registry. Patients aged ≥18 years with SOT/HSCT, PID/SID or ≥ 3 months of TNF-i therapy were included. The date of transplant, diagnosis of PID/SID, or 1st TNF-i medication order date was defined as the index date. We calculated cumulative cancer incidence by Kaplan-Meier method. A Cox-proportional hazard regression model with a stepwise variable selection process was used to identify independent risk factors associated with the time to onset of a new primary cancer. Results In total, 13,887 patients were included which comprised of 2982 (21%) SOT/HSCT, 7542 (54%) PID/SID and 3363 (24%) patients receiving TNF-i. The mean (SD) age ranged from 46.8 (15) years - 50.4 (18.2) years. The proportion of white patients ranged from 72.3–84.8%. The estimated cumulative cancer incidence was 11.5% in the SOT/HSCT cohort, 14.3% in the PID/SID cohort, and 8.8% in the TNF-i cohort. The multivariable model adjusted for age, benign in-situ disease, Charlson Comorbidity Index, hypertension/cardiovascular disease/end stage renal disease, gender, race/ethnicity, and renal cyst as significant risk factors. The adjusted hazard ratios for cancer development in SOT/HSCT and PID/SID cohorts compared to the TNF-i cohort over the full follow-up period were 1.57 (95% CI: 1.16–2.13) and 2.14 (95% CI: 1.65–2.77), respectively. Conclusion A significantly increased risk of cancer was observed in PID/SID patients and SOT/HSCT patients compared to TNF-i patients. Age ≥ 50 years, male gender, and clinical comorbidities were additional factors impacting cancer risk. PID/SID and SOT/HSCT patients may benefit from more intensive cancer screening.

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“… Inflammatory breast cancer [4] -Rare and aggressive form of invasive breast cancer that affects the blood vessels in the skin and/or lymphatic vessels of the breast.  Phyllodes tumors of the breast [5] -Tumors develop in the breast's connective tissue or stroma  Locally advanced breast cancer [6] -Cancer that is large or has spread beyond the breast to other nearby areas such as the skin, chest wall or muscle and may have extensive local lymph node involvement.  Metastatic breast cancer [7] -Cancer that has spread to more distant parts of the body such as the bones, liver, or lungs.…”

Section: Figure 1 Mammograms Of Breastmentioning

confidence: 99%

“…In case of non-linearly separable data, a kernel support vector machine is used to transfer that data into new vector space. For the given training dataset the decision function for a linear classification is represented as (5) where which is applied to transform the data into high dimensional space. The membership which represents the label for each action defined in the dataset.…”

Section: Figure 2: Vgg-19network Architecturementioning

confidence: 99%

Untitled

2021

KALJ00

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Breast cancer has been a major challenge in the arena of health sector as reports from literature quote a 20% of women population being affected by this fatal disease on a global scale and nearly 32% of it being shared by Indian population. However, if detected and treated at an early stage, there could be a massive reduction in the fatality rates. In recent time, medical health sector has achieved great milestones in detection and treatment of various disorders, thanks to the rapid pace of research and advancements in various fields like imaging modalities, segmentation and 3D processing techniques and availability of a powerful set of classifiers and predictors given a data set. Machine learning models have recently evolved as a powerful tool providing solutions to a number of such research challenges that involve intelligence, learning decision making with pinpoint accuracy. This work proposes a deep convolution neural network model -VGG-19 to attain high accuracy and precision in the cancer detection process. The computational complexity is effectively reduced by the proposed model over conventional methods the proposed deep learning model is able to perform both preprocessing and feature selection. Along with a powerful classifier inbuilt, an SVM is integrated into the proposed model to enhance the detection rate. The work has been carried out using the Wisconsin Breast Cancer Dataset (WBCD)which has an expansive data set of mammographic images. Performance metrics have been validated and justified by comparing against recent methods in terms of metrics like detection accuracy, precision, recall.

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Differences in breast cancer risk after benign breast disease by type of screening diagnosis

Cited by 14 publications

References 24 publications

Can breast cancer be stopped? Modifiable risk factors of breast cancer among women with a prior benign or premalignant lesion

Can breast cancer be stopped? Modifiable risk factors of breast cancer among women with a prior benign or premalignant lesion

Cancer incidence in immunocompromised patients: a single-center cohort study

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