- 标题
- 摘要
- 关键词
- 实验方案
- 产品
-
Decrease in interpretation time for both novice and experienced readers using a concurrent computer-aided detection system for digital breast tomosynthesis
摘要： Objectives To compare the diagnostic performance and interpretation time of digital breast tomosynthesis (DBT) for both novice and experienced readers with and without using a computer-aided detection (CAD) system for concurrent read. Methods CAD system was developed for concurrent read in DBT interpretation. In this observer performance study, we used an enriched sample of 100 DBT cases including 70 with and 30 without breast cancers. Image interpretation was performed by four radiologists with different experience levels (two experienced and two novice). Each reader completed two reading sessions (at a minimum 2-month interval), once with and once without CAD. Three different rating scales were used to record each reader’s interpretation. Reader performance with and without CAD was reported and compared for each radiologist. Reading time for each case was also recorded. Results Average area under the receiver operating characteristic curve values for BI-RADS scale on using CAD were 0.778 and 0.776 without using CAD, demonstrating no statistically significant differences. Results were consistent when the probability of malignancy and percentage probability of malignancy scales were used. Reading times per case were 72.07 s and 62.03 s (SD, 37.54 s vs 34.38 s) without and with CAD, respectively. The average difference in reading time on using CAD was a statistically significant decrease of 10.04 ± 1.85 s, providing 14% decrease in time. The time-reducing effect was consistently observed in both novice and experienced readers. Conclusion DBT combined with CAD reduced interpretation time without diagnostic performance loss to novice and experienced readers.
关键词： Computer-assisted diagnosis,Digital breast tomosynthesis,Breast cancer
更新于2025-09-04 15:30:14
-
Pattern Recognition and Signal Analysis in Medical Imaging || Computer-Aided Diagnosis for Diagnostically Challenging Breast Lesions in DCE-MRI
摘要： Breast cancer is the most common cancer among women, but has an encouraging cure rate if diagnosed at an early stage. Thus, early detection of breast cancer continues to be the key for effective treatment. Magnetic resonance (MR) imaging is an emerging and promising new modality for detection and further evaluation of clinically, mammographically, and sonographically occult cancers [134,402]. Acquisition of temporal sequences of between three and six MR images depicting the kinetics of contrast agent molecules in the breast tissue allows for detecting and assessing suspicious tissue disorders with high sensitivity, even in the mammographically dense breasts of young women. Yet, the multitemporal nature of the three-dimensional image data poses new challenges to radiologists as the key-information, reflected by subtle temporal changes of the signal intensity, is only perceivable if all images of the temporal sequence are considered simultaneously.
关键词： Computer-aided diagnosis,Dynamic contrast-enhanced MR,Magnetic resonance imaging,Non-mass-enhancing lesions,Breast cancer
更新于2025-09-04 15:30:14
-
[IEEE 2018 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS) - Bangkok, Thailand (2018.10.21-2018.10.24)] 2018 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS) - Multi-Scale Deep Neural Network for Mitosis Detection in Histological Images
摘要： Mitotic figure detection in breast cancer images plays an important role to measure aggressiveness of the cancer tumor. Currently, in clinic environment the pathologist visualized the multiple high power fields (HPFs) on a glass slide under super microscope which is an extremely tedious and time consuming process. Development of the automatic mitotic detection methods is need of time, however it also bears, scale invariance, deficiency of data, improper image staining and sample class unbalanced dilemma. These limitations are however; prohibit the automatic histopathology image analysis to be applied in clinical practice. In this paper, an automatic domain agnostic deep multi-scale fused fully convolutional neural network (MFF-CNN) is presented to detect mitoses in Hematoxylin and eosin (H&E) images. The intended model fuses the multi-level and multi-scale features and context information for accurate mitotic count and in training phase multi-step fine-tuning strategy is used to reduce the over-fitting. Moreover, the training image samples efficiently built by stain normalized the poorly stained (H&E) images and by applying an automatic strategy. Preliminarily selection validation on the public MITOS-ATYPIA-14 challenge dataset, demonstrate the efficiency of proposed work. The proposed method achieves better performance in term of detection accuracy with an acceptable detection speed compared to other state-of-the-art designs.
关键词： Multi-scale feature,CNN,Mitosis detection,Breast cancer,Stain-normalization
更新于2025-09-04 15:30:14
-
[Institution of Engineering and Technology 12th European Conference on Antennas and Propagation (EuCAP 2018) - London, UK (9-13 April 2018)] 12th European Conference on Antennas and Propagation (EuCAP 2018) - Enhancing the Sensitivity of Harmonic Motion Microwave Doppler Imaging using Main Signal Cancellation Circuit
摘要： Harmonic Motion Microwave Doppler Imaging method (HMMDI), proposed as an alternative noninvasive method for breast tumor detection, is a combination of focused ultrasound and radar techniques to obtain data based on mechanical and electrical properties of the tissue. Two main limitations on the sensitivity of the method are the phase noise of the transmitter source and the coupling between transmitting and receiving antennas. In this study, we used a signal cancellation circuit to suppress the coupled signal and increased the signal to noise ratio (SNR) of the Doppler component. The transmit signal coupled to the receiving antenna was decreased by 33.2 dB, enhancing the SNR about 17 dB. Two hard inclusions inside fat phantom were resolved using the HMMDI system with the signal cancellation circuit.
关键词： Doppler detection,microwave imaging,breast cancer,signal cancellation,Harmonic Motion Microwave Doppler Imaging (HMMDI)
更新于2025-09-04 15:30:14
-
High‐ and Ultra‐High definition of IR spectral histopathology gives an insight into chemical environment of lung metastases in breast cancer
摘要： Using high- (HD) and ultra-high-definition (UHD) of Fourier Transform Infrared (FTIR) spectroscopic imaging, we characterised spectrally pulmonary metastases in a murine model of breast cancer comparing them with histopathological results (H&E staining). This comparison showed excellent agreement between the methods in case of localisation of metastases with size below 1 mm and revealed that label-free HD and UHD IR spectral histopathology distinguish the type of neoplastic cells. We primary focused on differentiation between metastatic foci in the pleural cavity from cancer cells present in lung parenchyma and inflamed cells present in extracellular matrix of lungs due to growing of advanced metastases. In addition, a combination of unsupervised clustering and IR imaging indicated the high sensitivity of FTIR spectroscopy to identify chemical features of small macrometastases located under the pleural cavity and during epithelial–mesenchymal transition (EMT). FTIR based spectral histopathology was proved to detect not only phases of breast cancer metastasis to lungs but also to differentiate various origins of metastases seeded from breast cancer.
关键词： pulmonary metastases,high and ultra-high definition of FTIR imaging,spectral histopathology,breast cancer,unsupervised clustering
更新于2025-09-04 15:30:14
-
Intraoperative visualization of the tumor microenvironment and quantification of extracellular vesicles by label-free nonlinear imaging
摘要： Characterization of the tumor microenvironment, including extracellular vesicles (EVs), is important for understanding cancer progression. EV studies have traditionally been performed on dissociated cells, lacking spatial information. Since the distribution of EVs in the tumor microenvironment is associated with cellular function, there is a strong need for visualizing EVs in freshly resected tissues. We intraoperatively imaged untreated human breast tissues using a custom nonlinear imaging system. Label-free optical contrasts of the tissue, correlated with histological findings, enabled point-of-procedure characterization of the tumor microenvironment. EV densities from 29 patients with breast cancer were found to increase with higher histologic grade and shorter tumor-to-margin distance and were significantly higher than those from 7 cancer-free patients undergoing breast reduction surgery. Acquisition and interpretation of these intraoperative images not only provide real-time visualization of the tumor microenvironment but also offer the potential to use EVs as a label-free biomarker for cancer diagnosis and prognosis.
关键词： extracellular vesicles,label-free nonlinear imaging,breast cancer,intraoperative imaging,tumor microenvironment
更新于2025-09-04 15:30:14
-
Contrast-Enhanced Mammography (CEM) for Detecting Residual Disease after Neoadjuvant Chemotherapy: A Comparison with Breast Magnetic Resonance Imaging (MRI)
摘要： Objective. To evaluate the performance of contrast-enhanced mammography (CEM) compared to magnetic resonance imaging (MRI) for estimating residual tumor size after neoadjuvant chemotherapy (NAC) in women with newly diagnosed breast cancer. Methods. The institutional review board approved this study. This prospective study included women with newly diagnosed breast cancer who underwent breast CEM and MRI at the end of the last cycle of NAC and before definitive surgery. Size of residual malignancy on post-NAC CEM and MRI was compared with surgical pathology. Agreements and correlations of CEM and MRI measurements with histological size were assessed. Results. Thirty-three patients were included with a mean age of 45 years (range 22–76). The sensitivity, specificity, and positive and negative predictive value for detection of residual disease of CEM were 76%, 87.5%, 95%, and 86.4%, and those of MRI were 92%, 75%, 92%, and 75%. Comparing CEM to MRI, the mean difference was ?0.8 cm, concordance coefficient was 0.7, and Pearson correlation was 0.7 (p = 0.0003). The concordance coefficient between measurements of each imaging modality and pathologic tumor size was 0.7 for CEM and 0.4 for MRI. Pearson correlation was 0.8 for CEM and 0.5 for MRI. Mean differences between CEM, MRI, and residual histopathological tumor size were 0.8 cm and 1.8 cm, respectively. Conclusions. CEM has good correlation and agreement with histopathology for measuring residual disease after NAC. CEM was comparable to MRI, showing high positive predictive value and specificity for detecting residual disease.
关键词： neoadjuvant chemotherapy,residual disease,magnetic resonance imaging,contrast-enhanced mammography,breast cancer
更新于2025-09-04 15:30:14
-
Towards the use of diffuse reflectance spectroscopy for real-time in vivo detection of breast cancer during surgery
摘要： Background: Breast cancer surgeons struggle with differentiating healthy tissue from cancer at the resection margin during surgery. We report on the feasibility of using diffuse reflectance spectroscopy (DRS) for real?time in vivo tissue characterization. Methods: Evaluating feasibility of the technology requires a setting in which measurements, imaging and pathology have the best possible correlation. For this purpose an optical biopsy needle was used that had integrated optical fibers at the tip of the needle. This approach enabled the best possible correlation between optical measurement volume and tissue histology. With this optical biopsy needle we acquired real?time DRS data of normal tissue and tumor tissue in 27 patients that underwent an ultrasound guided breast biopsy procedure. Five additional patients were measured in continuous mode in which we obtained DRS measurements along the entire biopsy needle trajectory. We developed and compared three different support vector machine based classification models to classify the DRS measurements. Results: With DRS malignant tissue could be discriminated from healthy tissue. The classification model that was based on eight selected wavelengths had the highest accuracy and Matthews Correlation Coefficient (MCC) of 0.93 and 0.87, respectively. In three patients that were measured in continuous mode and had malignant tissue in their biopsy specimen, a clear transition was seen in the classified DRS measurements going from healthy tissue to tumor tissue. This transition was not seen in the other two continuously measured patients that had benign tissue in their biopsy specimen. Conclusions: It was concluded that DRS is feasible for integration in a surgical tool that could assist the breast surgeon in detecting positive resection margins during breast surgery.
关键词： Intraoperative margin assessment,Breast cancer surgery,Optical technology,Real?time
更新于2025-09-04 15:30:14
-
The challenges and opportunities in functional imaging HER2 positive breast cancers
摘要： Breast cancer is the most common malignancy in women and 20‐30% of these cancers overexpress the HER2 protein making them candidates for HER2‐directed therapies. Trastuzumab (Herceptin?), the first HER2‐directed therapy, is a humanized monoclonal antibody that binds to the extracellular domain of HER2 preventing downstream signaling and cell proliferation. Trastuzumab is also an immunologic agent stimulating antibody‐dependent cytotoxicity. Investigators have developed radiolabeled trastuzumab as a PET imaging agent for use in HER2‐positive breast cancer patients. However, its clinical role has yet to be established. In the Journal, Dr. Woo and his colleagues report the use of NOTA as a chelator for 64Cu labeling of trastuzumab and claim more favorable pharmacokinetics than 64Cu DOTA trastuzumab [1]. But is NOTA a better chelator for 64Cu than DOTA? They base their comparison on a report by Paudyal et al. (Cancer Sci 2010; 101: 1045‐1050) in which the uptake of 64Cu‐DOTA‐trastuzumab in the liver was 26.9 ±7.4% ID/g at 24 hours[12], while in contrast, the uptake of 64Cu‐NOTA‐trastuzumab was 5.44 ±1.84%D/g in the liver at 24 hours (Figure 4)[1]. They conclude the difference in liver uptake between the two studies was due to release of 64Cu from the DOTA but not from the NOTA chelate. However, the two studies cannot be compared since they were not performed using the same tumor models. Paudyal et al. (Cancer Sci 2010; 101: 1045‐1050) performed PET imaging on Her2+ non‐small cell xenografts, while Woo et al. performed PET imaging on Her2+ breast cancer xenografts. The difference in liver uptake may simply reflect differential shedding of Her2 antigen to the liver between the two types of tumors. To make their point, Woo et al. should have compared DOTA vs NOTA conjugated trastuzumab in the same tumor model. This is a clear example of confusing the chemical stability of metal chelates with their metabolic clearance in different tumor models.
关键词： PET imaging,breast cancer,HER2,DOTA,trastuzumab,NOTA
更新于2025-09-04 15:30:14