A Brief Review on Breast Carcinoma and Deliberation on Current Non Invasive Imaging Techniques for Detection

Vairavan, Rajendaran; Abdullah, Othman; Retnasamy, Prema Boshani; Sauli, Zaliman; Shahimin, M. M.; Retnasamy, Vithyacharan

doi:10.2174/1573405613666170912115617

Cited by 10 publications

(5 citation statements)

References 407 publications

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“…2). These changes indicated a risk reduction of BC presentation [15] and might be associated with the CHM actions. Nevertheless, we should point out that our findings represent a singular case, and such a treatment model cannot be recommended as a standard treatment for BC before more study outcomes are available.…”

Section: Discussionmentioning

confidence: 87%

Long-term Complete Remission of a Patient with Invasive Ductal and Lobular Breast Cancer Treated with Chinese Herbal Medicine After Lumpectomy: A 15-Year Follow-up Case Report

2024

Curr Res Cmpl Alt Med

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Breast cancer is one of the leading causes of cancer incidence and mortality globally. Although there are multiple conventional therapies for breast cancer, the adverse effects associated with these therapies and the higher recurrence rate of breast cancer have created substantial clinical problems and challenges. We herein report that a 68-year Caucasian female who suffered from earlystage breast cancer with estrogen and progesterone receptor positive has achieved long-term complete remission and excellent quality of life after lumpectomy and maintenance with Chinese herbal medicine. Most of the prescriptions of Chinese herbal medicine for her condition were based on two classical Chinese herbal formulas, Xiao Chai Hu Tang and Si Ni San, which were used by the patient almost every day from November 2006 to November 2011; and every second to third day from January 2012 to 2015. Follow-up breast ultrasounds and infrared thermographies showed that no recurrent or metastatic lesions were seen. In addition, her regular blood tests demonstrated that her blood counts and liver and kidney functions were in the normal ranges. The patient has been living and enjoying an excellent quality of life for over 15 years. This case study provides a potential alternative option of maintenance care for breast cancer patients.

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Section: Discussionmentioning

confidence: 87%

Long-term Complete Remission of a Patient with Invasive Ductal and Lobular Breast Cancer Treated with Chinese Herbal Medicine After Lumpectomy: A 15-Year Follow-up Case Report

2024

Curr Res Cmpl Alt Med

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“…The application of 3D EIT technology to detect human breast disease has grown in recent years (16,17). The benefits of 3D EIT include speed, low cost, no radiation, and the advantages of 3D visualization, quantitative evaluation, and functional imaging (18).…”

Section: Discussionmentioning

confidence: 99%

Diagnostic accuracy and prognostic value of three-dimensional electrical impedance tomography imaging in patients with breast cancer

et al. 2021

Gland Surg

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Background: Three-dimensional electrical impedance tomography (3D EIT) is a novel, non-invasive, radiationfree imaging technology for breast cancer screening. This study aimed to identify characteristics and classification of 3D EIT breast cancer imaging that could provide diagnostic accuracy and prognostic value for breast cancer patients.Methods: A total of 645 suspicious breast lesions [Breast Imaging Reporting and Data System (BI-RADS) III, IV, V] identified by mammography or ultrasound were examined with 3D EIT (MEIK, SIM-Technika, Yaroslavl, Russia). Breast tissue conductivity was quantified using MEIK 5.6 software. Diagnostic performance of visually interpreted 3D EIT was assessed using histology (surgical excision or vacuum core biopsy) and clinical follow-up. Kaplan-Meier analysis was used to calculate progression-free survival (PFS) and overall survival (OS) rates. Hazard ratio (HR) with a 95% confidence interval (95% CI) for various clinicopathological variables were determined using univariate and multivariate Cox regression models.Results: Breast cancer was confirmed in 272 of 645 patients by histopathology and other diagnostic imaging modalities. Among the confirmed cases, 218 patients had positive 3D EIT findings. The sensitivity, specificity, accuracy, positive likelihood, and negative likelihood ratios of 3D EIT were 80.1%, 75.1%, 77.2%, 70.1%, and 83.8%. There were no significant differences in the diagnostic accuracy, sensitivity, or specificity between 3D EIT and mammography, ultrasound, or combined mammography and ultrasound. 3D EIT breast cancer images were classified into 3 different types, including Ia [non-complicated breast cancer (NCBC), 62 cases], Ib [complicated breast cancer (CBC), 131 cases], and Ic [edematous-infiltrative breast cancer (EIBC), 25 cases], which were associated with tumor size (P<0.001), TNM stage (P<0.001), and lymph node metastasis (P=0.012). At 5-year follow-up, multivariate analysis demonstrated that breast cancer 3D EIT imaging classification was an independent predictor for decreased OS (HR: 2.399, 95% CI: 1.035, 5.564, P=0.041) and PFS (HR: 2.836, 95% CI: 1.555, 5.172, P=0.012) in patients with breast cancer. Conclusions: 3D EIT breast cancer images were classified into 3 types based on different image characteristics. 3D EIT appeared to be useful in clinical diagnostic performance and prognostic evaluation in patients with breast cancer.

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“…It is a well-established fact that both malignant and benign masses originate from a single spot and take different shapes and margins after growing circumferentially. Generally, benign masses attain round and oval shapes with well-circumscribed and smooth boundaries, while malignant masses attain irregular shapes with rough, ill-defined, and speculated boundaries [ 34 ].…”

Section: Methodsmentioning

confidence: 99%

Comparative analysis of proficiencies of various textures and geometric features in breast mass classification using k-nearest neighbor

Singh

Sharma

Singh

2022

Vis. Comput. Ind. Biomed. Art

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This paper introduces a comparative analysis of the proficiencies of various textures and geometric features in the diagnosis of breast masses on mammograms. An improved machine learning-based framework was developed for this study. The proposed system was tested using 106 full field digital mammography images from the INbreast dataset, containing a total of 115 breast mass lesions. The proficiencies of individual and various combinations of computed textures and geometric features were investigated by evaluating their contributions towards attaining higher classification accuracies. Four state-of-the-art filter-based feature selection algorithms (Relief-F, Pearson correlation coefficient, neighborhood component analysis, and term variance) were employed to select the top 20 most discriminative features. The Relief-F algorithm outperformed other feature selection algorithms in terms of classification results by reporting 85.2% accuracy, 82.0% sensitivity, and 88.0% specificity. A set of nine most discriminative features were then selected, out of the earlier mentioned 20 features obtained using Relief-F, as a result of further simulations. The classification performances of six state-of-the-art machine learning classifiers, namely k-nearest neighbor (k-NN), support vector machine, decision tree, Naive Bayes, random forest, and ensemble tree, were investigated, and the obtained results revealed that the best classification results (accuracy = 90.4%, sensitivity = 92.0%, specificity = 88.0%) were obtained for the k-NN classifier with the number of neighbors having k = 5 and squared inverse distance weight. The key findings include the identification of the nine most discriminative features, that is, FD26 (Fourier Descriptor), Euler number, solidity, mean, FD14, FD13, periodicity, skewness, and contrast out of a pool of 125 texture and geometric features. The proposed results revealed that the selected nine features can be used for the classification of breast masses in mammograms.

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A Brief Review on Breast Carcinoma and Deliberation on Current Non Invasive Imaging Techniques for Detection

Cited by 10 publications

References 407 publications

Long-term Complete Remission of a Patient with Invasive Ductal and Lobular Breast Cancer Treated with Chinese Herbal Medicine After Lumpectomy: A 15-Year Follow-up Case Report

Long-term Complete Remission of a Patient with Invasive Ductal and Lobular Breast Cancer Treated with Chinese Herbal Medicine After Lumpectomy: A 15-Year Follow-up Case Report

Diagnostic accuracy and prognostic value of three-dimensional electrical impedance tomography imaging in patients with breast cancer

Comparative analysis of proficiencies of various textures and geometric features in breast mass classification using k-nearest neighbor

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