Inflammatory breast cancer: early recognition and diagnosis is critical

Hester, Robert Harrison; Hortobágyi, Gabriel N.

doi:10.1016/j.ajog.2021.04.217

Cited by 32 publications

(20 citation statements)

References 18 publications

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“… Paget's disease of the nipple [3] -Cancer cells grow in the nipple or the areola.  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.…”

Section: Figure 1 Mammograms Of Breastmentioning

confidence: 99%

“…The general architecture of VGG-19 includes three fully connected networks that are used to classify the features obtained from the previous convolution and max-pooling layers. A feed-forward neural network is used to classify the features and the activation function for this layer is the SoftMax activation function which is formulated as (4) where represents the weight functions and f represents the nonlinear transfer function.In the proposed work instead of the feed-forward neural network, a simple and efficient support vector machine is employed to classify the tumor status. The classification performance of support vector machines is better than other classifiers in machine learning algorithms.…”

Section: Figure 2: Vgg-19network Architecturementioning

confidence: 99%

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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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Section: Figure 1 Mammograms Of Breastmentioning

confidence: 99%

Section: Figure 2: Vgg-19network Architecturementioning

confidence: 99%

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2021

KALJ00

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“…It is generally believed that pathogenic factors are family history and genetics [ 18 ], endogenous estrogen, exogenous estrogen, radiation exposure, benign breast disease and breast cancer in situ, alcohol intake, caffeine intake through coffee and tea [ 3 ], weight gain or overweight, sedentary, diet dominated by meat and sweets, and insufficient vitamin intake [ 19 , 20 ]. Early detection and treatment are very important [ 21 ]. The grading and staging of breast cancer has a significant impact on prognosis [ 22 , 23 ].…”

Section: Introductionmentioning

confidence: 99%

Accuracy and Utility of Preoperative Ultrasound-Guided Axillary Lymph Node Biopsy for Invasive Breast Cancer: A Systematic Review and Meta-Analysis

Huang

Zheng

2022

Computational Intelligence and Neuroscience

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Background. With the acceleration of the pace of life and work, the incidence rate of invasive breast cancer is getting higher and higher, and early diagnosis is very important. This study screened and analyzed the published literature on ultrasound-guided biopsy of invasive breast cancer and obtained the accuracy and practicality of preoperative biopsy. Method. The four databases were screened for the literature. There was no requirement for the start date of retrieval, and the deadline was July 2, 2022. Two researchers screened the literature, respectively, and included the literature on preoperative ultrasound-guided biopsy and intraoperative and postoperative pathological diagnosis of invasive breast cancer. The diagnostic data included in the literature were extracted and meta-analyzed with RevMan 5.4 software, and the bias risk map, forest map, and summary receiver operating characteristic curves (SROC) were drawn. Results. The included 19 studies involved about 18668 patients with invasive breast cancer. The degree of bias of the included literature is low. The distribution range of true positive, false positive, true negative, and false negative in the forest map is large, which may be related to the large difference in the number of patients in each study. Most studies in the SROC curve are at the upper left, indicating that the accuracy of ultrasound-guided axillary biopsy is very high. Conclusion. For invasive breast cancer, preoperative ultrasound-guided biopsy can accurately predict staging and grading of breast cancer, which has important reference value for surgery and follow-up treatment.

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“…Regardless of the molecular subtype, the prognosis for inflammatory breast cancer is poor, with triple-negative IBC patients having the worst results and a 10-year overall survival rate of just 17.8%. 2 In 1814, Sir Charles Bell presented the first characterization of IBC in the scientific literature. The terms primary IBC and true IBC were developed in 1938 to distinguish IBC from secondary IBC, which was described as secondary changes in the breast caused by locally progressed, non-inflammatory breast cancer or breast cancer recurrence.…”

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confidence: 99%

An overview of inflammatory breast cancer

Siddiqui

Alsarhan

Almutairi

et al. 2022

Int J Community Med Public Health

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Inflammatory breast cancer is an uncommon and severe malignancy that frequently goes undiagnosed at first because it presents similarly to more benign breast diseases like mastitis, resulting in delayed treatment. Inflammatory breast cancer affects 1% to 5% of all occurrences of breast cancer and accounts for 8% to 10% of all breast cancer-related deaths. Erythema, skin abnormalities, nipple inversion, edema, and warmth of the affected breast are all signs of inflammatory breast cancer. Recognized risk factors for inflammatory breast cancer include young age at the time of diagnosis, obesity and African American ethnicity. Rapid onset within 3 months and pathologic evidence of invasive carcinoma leads to diagnosis of disease further including erythema occupying at least one-third of the breast, tumour may or may not be present in this case. Chemotherapy, surgery, and radiation make up the trimodal therapy used to treat inflammatory breast cancer. A modified radical mastectomy performed as part of an aggressive surgical strategy improves survival rates. Although patients with inflammatory breast cancer have worse outcomes than those with noninflammatory breast cancer, those who complete trimodal therapy have a positive locoregional control rate, highlighting the significance of an early diagnosis. Physicians must be aware and examine any clinical manifestation of inflammatory breast cancer if present to make a prompt diagnosis and refer patient for expert care timely also awareness and cancer screening can help in prevention of disease. The purpose of this research is to review the available information about an overview of inflammatory breast cancer.

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Inflammatory breast cancer: early recognition and diagnosis is critical

Cited by 32 publications

References 18 publications

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Accuracy and Utility of Preoperative Ultrasound-Guided Axillary Lymph Node Biopsy for Invasive Breast Cancer: A Systematic Review and Meta-Analysis

An overview of inflammatory breast cancer

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