Realtime Ultrasound Elastography Technique for Multifocal Breast Cancer Assessment

2010 ◽  
Author(s):  
Shadi Shavakh ◽  
Aaron Fenster ◽  
Abbas Samani
Keyword(s):  
Breast Cancer ◽  
Treatment Plan ◽  
Cost Effective ◽  
Ultrasound Elastography ◽  
Average Error ◽  
Appropriate Treatment ◽  
Multifocal Breast Cancer ◽  
Diagnosis And Classification ◽  
Phantom Studies

Early diagnosis and classification of breast cancer is a critical step in choosing appropriate treatment plan. An ultrasound (US) elastography method for unifocal and multifocal breast cancer is presented. While this technique uses full inversion approach, it is cost-effective, fast, and expected to be more sensitive and specific than conventional US based elastography methods. This technique is capable of imaging absolute Young’s modulus (YM) of the tumour in real-time fashion, in contrast with other conventional elastography techniques that image relative elastic modulus off-line. To validate the proposed technique, numerical and tissue mimicking phantom studies were conducted. In the tissue mimicking study, a block shape gelatine-agar phantom was constructed with a cylindrical inclusion located deep inside the phantom. Results obtained from this study show accurate reconstruction of the YM with average error of less than 3%. The numerical phantom study has been extended for multifocal cases with average errors less than 6%.

Breast Cancer Detection and Classification using Traditional Computer Vision Techniques: A Comprehensive Review

2020 ◽  
Vol 16 ◽  
Author(s):  
Saliha Zahoor ◽  
Ikram Ullah Lali ◽  
Muhammad Attique Khan ◽  
Kashif Javed ◽  
Waqar Mehmood
Keyword(s):  
Breast Cancer ◽  
Computer Aided Diagnosis ◽  
Diagnose Breast Cancer ◽  
Initial Stage ◽  
Computer Aided ◽  
Diagnosis And Classification ◽  
And Performance ◽  
Tools And Techniques ◽  
Aided Diagnosis

: Breast Cancer is a common dangerous disease for women. In the world, many women died due to Breast cancer. However, in the initial stage, the diagnosis of breast cancer can save women's life. To diagnose cancer in the breast tissues there are several techniques and methods. The image processing, machine learning and deep learning methods and techniques are presented in this paper to diagnose the breast cancer. This work will be helpful to adopt better choices and reliable methods to diagnose breast cancer in an initial stage to survive the women's life. To detect the breast masses, microcalcifications, malignant cells the different techniques are used in the Computer-Aided Diagnosis (CAD) systems phases like preprocessing, segmentation, feature extraction, and classification. We have been reported a detailed analysis of different techniques or methods with their usage and performance measurement. From the reported results, it is concluded that for the survival of women’s life it is essential to improve the methods or techniques to diagnose breast cancer at an initial stage by improving the results of the Computer-Aided Diagnosis systems. Furthermore, segmentation and classification phases are challenging for researchers for the diagnosis of breast cancer accurately. Therefore, more advanced tools and techniques are still essential for the accurate diagnosis and classification of breast cancer.

scholarly journals Proteomic Characterization of Serum Small Extracellular Vesicles in Human Breast Cancer

2021 ◽  
Author(s):  
Ganfei Xu ◽  
Weiyi Huang ◽  
Shaoqian Du ◽  
Minjing Huang ◽  
Jiacheng Lyu ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Molecular Subtypes ◽  
Molecular Subtype ◽  
Reference Value ◽  
Human Breast ◽  
Serum Samples ◽  
Healthy Donors ◽  
Diagnosis And Classification

There is a lack of comprehensive understanding of breast cancer (BC) specific sEVs characteristics and composition on BC unique proteomic information from human samples. Here, we interrogated the proteomic landscape of sEVs in 167 serum samples from patients with BC, benign mammary disease (BD) and from healthy donors (HD). The analysis provides a comprehensive landscape of serum sEVs with totally 9,589 proteins identified, considerably expanding the panel of sEVs markers. Of note, serum BC-sEVs protein signatures were distinct from those of BD and HD, representing stage- and molecular subtype-specific patterns. We constructed specific sEVs protein identifiers that could serve as a liquid biopsy tool for diagnosis and classification of BC from benign mammary disease, molecular subtypes, as well as assessment of lymph node metastasis. We also identified 11 potential survival biomarkers for distant metastasis. This work may provide reference value for the accurate diagnosis and monitoring of BC progression using serum sEVs.

Electrochemical immunoplatform to assist in the diagnosis and classification of breast cancer through the determination of matrix-metalloproteinase-9

Talanta ◽  
2021 ◽  
Vol 225 ◽  
pp. 122054
Author(s):  
Beatriz Arévalo ◽  
Amira ben Hassine ◽  
Alejandro Valverde ◽  
Verónica Serafín ◽  
Ana Montero-Calle ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Matrix Metalloproteinase ◽  
Matrix Metalloproteinase 9 ◽  
Diagnosis And Classification ◽  
Metalloproteinase 9

scholarly journals Application of Multi-Slice Computed Tomography for the Preoperative Diagnosis and Classification of Pulmonary Cystic Echinococcosis

Pathogens ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 353
Author(s):  
Lizhong Wu ◽  
Pema ◽  
Longlong Mu ◽  
Mingjue Si ◽  
Jie Xu ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Cystic Echinococcosis ◽  
Treatment Plan ◽  
Classification Method ◽  
World Health ◽  
Preoperative Ct ◽  
Diagnosis And Classification ◽  
Health Organization ◽  
Ultrasound Classification

Pulmonary cystic echinococcosis remains a serious threat to public health. A standardized, imaging-based classification method for pulmonary echinococcosis has not yet been developed despite the existence of a standardized ultrasound classification method and treatment plan for hepatic cystic echinococcosis. Chest computed tomography (CT) images from 34 cases of pulmonary cystic echinococcosis with 46 lesions were used for classification based on the World Health Organization (WHO) standardized ultrasound classification of hepatic cystic echinococcosis. CT findings were compared with intraoperative observations and postoperative pathological results to assess accuracy. Pulmonary cystic echinococcosis was common in women (14/34, 41.2%) and children (14/34, 41.2%) with a single cyst (28/46, 60.9%). Most lesions were classified as cystic echinococcosis 1(CE1, 19/46) or cystic echinococcosis 3(CE3, 21/46). Blood leukocytosis was mostly observed in CE3 lesions (100%, 9/9) (p < 0.05). The preoperative CT diagnosis of pulmonary cystic echinococcosis had an accuracy rate of 100%. The preoperative CT typing, and postoperative pathological typing had a coincidence rate of 97.8% (45/46). Our study provided a classification method based on CT imaging for pulmonary cystic echinococcosis that can be used during pre-surgical planning to reduce patient’s postoperative complications and mortality.

scholarly journals Diagnosing haemophagocytic syndrome

2016 ◽  
Vol 102 (3) ◽  
pp. 279-284 ◽  
Author(s):  
Ethan S Sen ◽  
Colin G Steward ◽  
Athimalaipet V Ramanan
Keyword(s):  
Early Recognition ◽  
Haemophagocytic Syndrome ◽  
Reactive Protein ◽  
The Past ◽  
Appropriate Treatment ◽  
Diagnosis And Classification ◽  
Characteristic Features ◽  
Criteria For Diagnosis ◽  
Purpuric Rash

Haemophagocytic syndrome, or haemophagocytic lymphohistiocytosis (HLH), is a hyperinflammatory disorder characterised by uncontrolled activation of the immune system. It can result from mutations in multiple genes involved in cytotoxicity or occur secondary to a range of infections, malignancies or autoimmune rheumatic diseases. In the latter case, it is also known as macrophage activation syndrome (MAS). Characteristic features are persistent fever, hepatosplenomegaly, petechial/purpuric rash, progressive cytopenias, coagulopathy, transaminitis, raised C reactive protein, falling erythrocyte sedimentation rate, hypertriglyceridaemia, hypofibrinogenaemia and extreme hyperferritinaemia often associated with multi-organ impairment. Distinguishing HLH from systemic sepsis can present a major challenge. Criteria for diagnosis and classification of HLH and MAS are available and a serum ferritin >10 000 µg/L is strongly supportive of HLH. Without early recognition and appropriate treatment, HLH is almost universally fatal. However, with prompt referral and advancements in treatment over the past two decades, outcomes have greatly improved.

scholarly journals Added value of contrast-enhanced spectral mammography in symptomatic patients with dense breasts

2021 ◽  
Vol 52 (1) ◽  
Author(s):  
Sara Ahmed Sadek Mohamed ◽  
Sherine George Moftah ◽  
Nivine Abd El Moneim Chalabi ◽  
Mona Ali Abdel-Wahed Salem
Keyword(s):  
Breast Cancer ◽  
Digital Mammography ◽  
Predictive Value ◽  
Treatment Plan ◽  
Added Value ◽  
Full Field ◽  
Dense Breasts ◽  
Full Field Digital Mammography ◽  
Appropriate Treatment ◽  
Contrast Enhanced

Abstract Background Breast cancer is the most common malignancy in females around the world representing 25.1% of all cancers. The high prevalence and need for early treatment of breast malignancy highlight the importance of early and accurate diagnosis. In order to achieve this target, it is necessary to select the most appropriate modality for investigation. Early detection of breast cancer by conventional mammography tends to reduce mortality; however, it has a low sensitivity and specificity in young females with dense breasts owing to reduced contrast between a possible tumor and the surrounding breast tissue with superimposition of the glandular tissue obscuring underlying lesions. Our study included 25 patients with dense breasts presented with different breast symptoms, yet the breast lump was the most common complaint. The aim of our study is to evaluate the supplementary value of contrast-enhanced spectral mammography in the assessment of symptomatic patients with dense breasts. Results In our study, the enrolled subjects underwent both contrast-enhanced spectral mammography (CESM) and conventional full-field digital mammography (FFDM). CESM was shown to be better than FFDM in terms of sensitivity, positive predictive value, negative predictive value, and accuracy, measuring 100%, 77.8%, 100%, and 84%, compared to 56%, 75%, 46%, and 60%, respectively, yet both modalities showed low specificity, measuring 63.6% and 66.6% for CESM and FFDM, respectively. The added value of CESM was assessed in terms of ability to detect and correctly characterize the lesions in correlation to histopathological results where CESM could detect 88% of the lesions included in our study and correctly characterized 84% of the lesions; on the other side, FFDM detected only 20% of the lesions and correctly characterized 60% of the lesions. CESM changed the treatment plan to a more extensive surgery +/− neoadjuvant chemotherapy in 57% out of fourteen cases diagnosed with breast cancer emphasizing the role of CESM in assessing the extent of the disease, multicentricity, and multifocality and consequently tailoring the most appropriate treatment plan suitable for each patient. Conclusion Contrast-enhanced spectral mammography is superior to full-field digital mammography in patients with dense breasts with a significant supplementary value in detection, characterization of lesions, and tailoring the appropriate treatment plan.

scholarly journals Biocatalytic Amplification of UV Signal in Capillary Electrophoresis of MicroRNA

2019 ◽  
Vol 21 (1) ◽  
pp. 51 ◽  
Author(s):  
Ruibin Hu ◽  
Yi Chen
Keyword(s):  
Capillary Electrophoresis ◽  
Detection Limit ◽  
Early Diagnosis ◽  
Large Scale ◽  
Cost Effective ◽  
Related Research ◽  
Diagnosis And Classification ◽  
Large Scale Screening ◽  
Potential Biomarkers

MicroRNAs (miRNAs) are new potential biomarkers for early diagnosis and classification of cancer. This study is the first attempt to use biocatalytic amplification reactions combined with capillary electrophoresis to detect multiple miRNAs simultaneously. In this way, miRNAs, as catalysts, can catalyze two single strands of DNA to form double-strand DNA. Feasibility was demonstrated by non-gel capillary electrophoresis coupled with UV detection (NGCE-UV). The detection limit was improved down to 1.0 nM, having ca. 103-fold improvement. This method has a good linear range of between 3.0 nM and 300 nM, with R2 at 0.99, recovery at 88–115%, and peak area precision at 1–12.7%. Using three target miRNAs as a model can achieve the baseline separation and good selectivity. The proposed biocatalysis coupled with a capillary electrophoresis-based method is simple, rapid, multiplexed, and cost-effective, making it potentially applicable for simultaneous, large-scale screening for other nucleic acids biomarkers and related research.

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