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https://www.readbyqxmd.com/read/28230179/crowdsourcing-scoring-of-immunohistochemistry-images-evaluating-performance-of-the-crowd-and-an-automated-computational-method
#1
Humayun Irshad, Eun-Yeong Oh, Daniel Schmolze, Liza M Quintana, Laura Collins, Rulla M Tamimi, Andrew H Beck
The assessment of protein expression in immunohistochemistry (IHC) images provides important diagnostic, prognostic and predictive information for guiding cancer diagnosis and therapy. Manual scoring of IHC images represents a logistical challenge, as the process is labor intensive and time consuming. Since the last decade, computational methods have been developed to enable the application of quantitative methods for the analysis and interpretation of protein expression in IHC images. These methods have not yet replaced manual scoring for the assessment of IHC in the majority of diagnostic laboratories and in many large-scale research studies...
February 23, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28228868/primary-neuroendocrine-carcinoma-of-the-breast-report-of-2-cases-and-literature-review
#2
Fernando Collado-Mesa, Jose M Net, Geetika A Klevos, Monica M Yepes
Neuroendocrine tumors of the breast are very rare accounting for less than 0.1% of all breast cancers and less than 1% of all neuroendocrine tumors. Focal neuroendocrine differentiation can be found in different histologic types of breast carcinoma including in situ and invasive ductal or invasive lobular. However, primary neuroendocrine carcinoma of the breast requires the expression of neuroendocrine markers in more than 50% of the cell population, the presence of ductal carcinoma in situ, and the absence of clinical evidence of concurrent primary neuroendocrine carcinoma of any other organ...
March 2017: Radiology case reports
https://www.readbyqxmd.com/read/28227485/augmented-reality-for-breast-tumors-visualization
#3
Mohammad Ali Ghaderi, Mehrdad Heydarzadeh, Mehrdad Nourani, Gopal Gupta, Lakshman Tamil, Mohammad Ali Ghaderi, Mehrdad Heydarzadeh, Mehrdad Nourani, Gopal Gupta, Lakshman Tamil, Gopal Gupta, Mehrdad Heydarzadeh, Lakshman Tamil, Mehrdad Nourani
3D visualization of breast tumors are shown to be effective by previous studies. In this paper, we introduce a new augmented reality application that can help doctors and surgeons to have a more accurate visualization of breast tumors; this system uses a marker-based image-processing technique to render a 3D model of the tumors on the body. The model can be created using a combination of breast 3D mammography by experts. We have tested the system using an Android smartphone and a head-mounted device. This proof of concept can be useful for oncologists to have a more effective screening, and surgeons to plan the surgery...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227414/breast-lesion-detection-and-characterization-with-3d-features
#4
Arathi Sreekumari, K S Shriram, Vivek Vaidya, Arathi Sreekumari, K S Shriram, Vivek Vaidya, Vivek Vaidya, K S Shriram, Arathi Sreekumari
Automated Breast Ultrasound (ABUS) is highly effective as breast cancer screening adjunct technology. Automation can greatly enhance the efficiency of the clinician sifting through the quantum of data in ABUS volumes to spot lesions. We have implemented a fully automatic generic algorithm pipeline for detection and characterization of lesions on such 3D volumes. We compare a wide range of features for region description on their effectiveness at the dual goals of lesion detection and characterization. On multiple feature images, we compute region descriptors at lesion candidate locations obviating the need for explicit lesion segmentation...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227373/comparative-study-of-texture-features-in-oct-images-at-different-scales-for-human-breast-tissue-classification
#5
Yu Gan, Xinwen Yao, Ernest Chang, Syed Bin Amir, Hanina Hibshoosh, Sheldon Feldman, Christine P Hendon, Yu Gan, Xinwen Yao, Ernest Chang, Syed Bin Amir, Hanina Hibshoosh, Sheldon Feldman, Christine P Hendon, Syed Bin Amir, Christine P Hendon, Sheldon Feldman, Yu Gan, Hanina Hibshoosh, Ernest Chang, Xinwen Yao
Breast cancer is the second leading cause of death in women in the United States due to cancer. Early detection of breast cancerous regions will aid the diagnosis, staging, and treatment of breast cancer. Optical coherence tomography (OCT), a non-invasive imaging modality with high resolution, has been widely used to visualize various tissue types within the human breast and has demonstrated great potential for assessing tumor margins. Imaging large resected samples with a fast imaging speed can be accomplished by under-sampling in the spatial domain, resulting in a large image scale...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227012/detection-of-mitotic-nuclei-in-breast-histopathology-images-using-localized-acm-and-random-kitchen-sink-based-classifier
#6
K Sabeena Beevi, Madhu S Nair, G R Bindu, K Sabeena Beevi, Madhu S Nair, G R Bindu, G R Bindu, Madhu S Nair
The exact measure of mitotic nuclei is a crucial parameter in breast cancer grading and prognosis. This can be achieved by improving the mitotic detection accuracy by careful design of segmentation and classification techniques. In this paper, segmentation of nuclei from breast histopathology images are carried out by Localized Active Contour Model (LACM) utilizing bio-inspired optimization techniques in the detection stage, in order to handle diffused intensities present along object boundaries. Further, the application of a new optimal machine learning algorithm capable of classifying strong non-linear data such as Random Kitchen Sink (RKS), shows improved classification performance...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227003/automated-segmentation-and-classification-of-cell-nuclei-in-immunohistochemical-breast-cancer-images-with-estrogen-receptor-marker
#7
Julio Oscanoa, Franco Doimi, Richard Dyer, Jhahaira Araujo, Joseph Pinto, Benjamin Castaneda, Julio Oscanoa, Franco Doimi, Richard Dyer, Jhahaira Araujo, Joseph Pinto, Benjamin Castaneda, Jhahaira Araujo, Franco Doimi, Julio Oscanoa, Richard Dyer, Benjamin Castaneda, Joseph Pinto
Breast cancer is the most common malignant tumor in women worldwide. In recent years, there has been an increasing use of immunohistochemistry (the process of detecting the expression of certain proteins in cytological images) to obtain useful information for diagnosis. This paper presents an efficient algorithm that automatically detects breast cancer cell nuclei and divides them into two groups: those that express the ER marker and those that do not. First, the areas that belong to the carcinoma are automatically identified...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226684/simplified-computer-aided-detection-scheme-of-microcalcification-clusters-in-digital-breast-tomosynthesis-images
#8
Ji-Wook Jeong, Seung-Hoon Chae, Eun Young Chae, Hak Hee Kim, Young Wook Choi, Sooyeul Lee, Ji-Wook Jeong, Seung-Hoon Chae, Eun Young Chae, Hak Hee Kim, Young Wook Choi, Sooyeul Lee, Sooyeul Lee, Ji-Wook Jeong, Hak Hee Kim, Eun Young Chae, Young Wook Choi, Seung-Hoon Chae
A computer-aided detection (CADe) algorithm for clustered microcalcifications (MCs) in reconstructed digital breast tomosynthesis (DBT) images is suggested. The MC-like objects were enhanced by a Hessian-based 3D calcification response function, and a signal-to-noise ratio (SNR) enhanced image was also generated to screen the MC clustering seed objects. A connected component segmentation method was used to detect the cluster seed objects, which were considered as potential clustering centers of MCs. Bounding cubes for the accepted clustering seed candidate were generated and the overlapping cubes were combined and examined...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226683/preliminary-imaging-results-and-sar-analysis-of-a-microwave-imaging-system-for-early-breast-cancer-detection
#9
Ashkan Ghanbarzadeh Dagheyan, Ali Molaei, Richard Obermeier, Jose Martinez-Lorenzo, Ashkan Ghanbarzadeh Dagheyan, Ali Molaei, Richard Obermeier, Jose Martinez-Lorenzo, Ali Molaei, Ashkan Ghanbarzadeh Dagheyan, Jose Martinez-Lorenzo, Richard Obermeier
Currently X-ray-based imaging systems suffer from low contrast between malignant and healthy fibrous tissues in breast. Microwave Near-field Radar Imaging (NRI) shows a higher contrast between the aforementioned tissues and therefore can enhance tumor detection and diagnosis accuracy. In this work, we present the first imaging results of our developed NRI system that is equipped with a pair of Antipodal Vivaldi Antennas. We used a metal bearing ball immersed in oil as our object of interest, to keep the first measurement configuration simple...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226682/extraction-of-medically-interpretable-features-for-classification-of-malignancy-in-breast-thermography
#10
Himanshu Madhu, Siva Teja Kakileti, Krithika Venkataramani, Susmija Jabbireddy, Himanshu Madhu, Siva Teja Kakileti, Krithika Venkataramani, Susmija Jabbireddy, Susmija Jabbireddy, Krithika Venkataramani, Siva Teja Kakileti, Himanshu Madhu
Thermography, with high-resolution cameras, is being re-investigated as a possible breast cancer screening imaging modality, as it does not have the harmful radiation effects of mammography. This paper focuses on automatic extraction of medically interpretable non-vascular thermal features. We design these features to differentiate malignancy from different non-malignancy conditions, including hormone sensitive tissues and certain benign conditions, which have an increased thermal response. These features increase the specificity for breast cancer screening, which had been a long known problem in thermographic screening, while retaining high sensitivity...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226681/thermal-analysis-of-multiple-antenna-excited-breast-model-for-breast-cancer-detection
#11
Yinan Li, Babak Fahimi, Yinan Li, Babak Fahimi, Babak Fahimi, Yinan Li
Infrared thermography (IRT), or thermal imaging has long been proposed as a novel method in early detection of breast cancer. Most of the work done was through the detection of abnormal hotspot, or asymmetries in a thermal texture map. However, the surface temperature may not appear symmetric even for a healthy breast because of variations in blood supply and individual differences. In this paper, a method that is independent of the aforementioned symmetry is proposed. The breast under detection is initially excited by a group of patch antennas...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226399/wavelet-based-scaling-indices-for-breast-cancer-diagnostics
#12
T Roberts, M Newell, W Auffermann, B Vidakovic
Mammography is routinely used to screen for breast cancer. However, the radiological interpretation of mammogram images is complicated by the heterogeneous nature of normal breast tissue and the fact that cancers are often of the same radiographic density as normal tissue. In this work, we use wavelets to quantify spectral slopes of breast cancer cases and controls and demonstrate their value in classifying images. In addition, we propose asymmetry statistics to be used in forming features, which improve the classification result...
February 22, 2017: Statistics in Medicine
https://www.readbyqxmd.com/read/28225643/screening-mammography-patient-perceptions-and-preferences-regarding-communication-of-estimated-breast-cancer-risk
#13
Nita Amornsiripanitch, Mark Mangano, Bethany L Niell
OBJECTIVE: Many models exist to estimate a woman's risk of development of breast cancer. At screening mammography, many imaging centers collect data required for these models to identify women who may benefit from supplemental screening and referral for cancer risk assessment. The purpose of this study was to discern perceptions and preferences of screening mammography patients regarding communication of estimated breast cancer risk. SUBJECTS AND METHODS: An anonymous survey was distributed to screening and surveillance mammography patients between April and June 2015...
February 22, 2017: AJR. American Journal of Roentgenology
https://www.readbyqxmd.com/read/28223798/transferrin-receptor-targeted-ph-sensitive-micellar-system-for-diminution-of-drug-resistance-and-targetable-delivery-in-multidrug-resistant-breast-cancer
#14
Wei Gao, Guihua Ye, Xiaochuan Duan, Xiaoying Yang, Victor C Yang
The emergence of drug resistance is partially associated with overproduction of transferrin receptor (TfR). To overcome multidrug resistance (MDR) and achieve tumor target delivery, we designed a novel biodegradable pH-sensitive micellar system modified with HAIYPRH, a TfR ligand (7pep). First, the polymers poly(l-histidine)-coupled polyethylene glycol-2000 (PHIS-PEG2000) and 7pep-modified 1,2-distearoyl-sn-glycero-3-phosphoethanolamine-polyethylene glycol-2000 (7pep-DSPE-PEG2000) were synthesized, and the mixed micelles were prepared by blending of PHIS-PEG2000 and 1,2-distearoyl-sn-glycero-3-phosphoethanolamine-polyethylene glycol-2000 (DSPE-PEG2000) or 7pep-DSPE-PEG2000 (7-pep HD micelles)...
2017: International Journal of Nanomedicine
https://www.readbyqxmd.com/read/28222500/conventional-us-combined-with-acoustic-radiation-force-impulse-imaging-arfi-for%C3%A2-prediction-of-triple-negative-breast-cancer-and-the-risk-of-lymphatic-metastasis
#15
Huan Pu, Li-Xia Zhao, Ming-Hua Yao, Guang Xu, Hui Liu, Huixiong Xu, Rong Wu
PURPOSE: To evaluate the combination of conventional ultrasound (US) and acoustic radiation force impulse imaging (ARFI) in predicting triple-negative breast cancer and the likelihood of lymphatic metastasis. MATERIALS AND METHODS: In total 178 women presenting from May 2013 to September 2015 with pathologically proven triple-negative (n = 60) or hormone receptor (HR)-positive/human epidermal growth factor receptor 2 (HER2)-negative breast cancer (n = 118) were reviewed...
February 4, 2017: Clinical Hemorheology and Microcirculation
https://www.readbyqxmd.com/read/28222395/technetium-99m-radiolabeled-paclitaxel-as-an-imaging-probe-for-breast-cancer-in-vivo
#16
Liziane O F Monteiro, Renata S Fernandes, Luciano C Castro, Valbert N Cardoso, Mônica C Oliveira, Danyelle M Townsend, Alice Ferretti, Domenico Rubello, Elaine A Leite, André L B de Barros
The high incidence and mortality of breast cancer supports efforts to develop innovative imaging probes to effectively diagnose, evaluate the extent of the tumor, and predict the efficacy of tumor treatments while concurrently and selectively delivering anticancer agents to the cancer tissue. In the present study we described the preparation of technetium-99m ((99m)Tc)-labeled paclitaxel (PTX) and evaluated its feasibility as a radiotracer for breast tumors (4T1) in BALB/c mice. Thin Layer Chromatography (TLC) was used to determine the radiochemical purity and in vitro stability of (99m)Tc-PTX...
February 17, 2017: Biomedicine & Pharmacotherapy, Biomédecine & Pharmacothérapie
https://www.readbyqxmd.com/read/28221238/additional-magnetic-resonance-imaging-detected-suspicious-lesions-in-known-patients-with-breast-cancer-comparison-of-second-look-digital-tomosynthesis-and-ultrasonography
#17
Jieun Koh, Eun-Kyung Kim, Min Jung Kim, Jung Hyun Yoon, Hee Jung Moon
PURPOSE: The aim of the study was to compare the performances of second-look digital breast tomosynthesis (DBT) and ultrasonography (US) for additional magnetic resonance imaging (MRI)-detected suspicious lesions in patients referred for breast cancer. METHODS: Fifty-five patients (52.5 [9.3] years) with breast cancers newly diagnosed at a referring hospital underwent MRI and afterward DBT and US in our institution. The frequency for detecting additional MRI-detected suspicious lesions on DBT and US and performances of DBT and US were compared...
February 18, 2017: Ultrasound Quarterly
https://www.readbyqxmd.com/read/28221191/the-assessment-of-estrogen-receptor-status-and-its-intratumoral-heterogeneity-in-breast-cancer-patients-by-using-18-f-fluoroestradiol-pet-ct
#18
Zhongyi Yang, Yifei Sun, Xiaoping Xu, Yongping Zhang, Jianping Zhang, Jing Xue, Mingwei Wang, Huiyu Yuan, Silong Hu, Wei Shi, Beiling Zhu, Yingjian Zhang
AIM: The aim of this study was to investigate the clinical value of F-fluoroestradiol (F-FES) PET/CT in the assessment of the estrogen receptor (ER) and its intratumoral heterogeneity in breast cancer patients. METHODS: Forty-six female patients (50 lesions) with histologically confirmed invasive breast cancer who underwent both F-FES and F-FDG PET/CT in our center were retrospectively included. All the patients enrolled were scheduled to undergo biopsy. The F-FES and FDG uptakes were compared with pathological features (tumor size, ER, progesterone receptor, human epidermal growth factor receptor 2, and Ki67%)...
February 17, 2017: Clinical Nuclear Medicine
https://www.readbyqxmd.com/read/28221097/supplemental-breast-mr-imaging-screening-of-women-with-average-risk-of-breast-cancer
#19
Christiane K Kuhl, Kevin Strobel, Heribert Bieling, Claudia Leutner, Hans H Schild, Simone Schrading
Purpose To investigate the utility and accuracy of breast magnetic resonance (MR) imaging as a supplemental screening tool in women at average risk for breast cancer and to investigate the types of cancer detected with MR imaging screening. Materials and Methods This prospective observational study was conducted at two academic breast centers in women aged 40-70 years without breast cancer-associated risk factors (lifetime risk <15%). Between January 2005 and December 2013, women with at least minimal residual breast tissue (American College of Radiology categories A-D) and normal conventional imaging findings (screening mammography with or without screening ultrasonography [US]) were invited to undergo supplemental MR imaging screening...
February 21, 2017: Radiology
https://www.readbyqxmd.com/read/28219911/triple-negative-breast-cancer-with-brain-metastasis-in-a-pregnant-woman
#20
Francisco Trinca, Mariana Inácio, Teresa Timóteo, Rui Dinis
A woman aged 35 years was diagnosed with triple-negative breast cancer in October 2012. During the investigation, it was discovered that she was pregnant, the patient decided to have an abortion. She was submitted to a radical modified mastectomy and adjuvant chemotherapy followed by adjuvant breast radiotherapy of the left breast. 2 months after the adjuvant treatment, she began to have headaches and dizziness. The cranial MRI (head MRI) showed brain metastasis. She was then treated with whole brain radiotherapy, stereotactic radiosurgery and concomitant temozolomide which resulted in complete response...
February 20, 2017: BMJ Case Reports
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