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Chen J, Zeng H, Cheng Y, Yang B. Identifying radiogenomic associations of breast cancer based on DCE-MRI by using Siamese Neural Network with manufacturer bias normalization. Med Phys 2024; 51:7269-7281. [PMID: 38922986 DOI: 10.1002/mp.17266] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Revised: 06/08/2024] [Accepted: 06/08/2024] [Indexed: 06/28/2024] Open
Abstract
BACKGROUND AND PURPOSE The immunohistochemical test (IHC) for Human Epidermal Growth Factor Receptor 2 (HER2) and hormone receptors (HR) provides prognostic information and guides treatment for patients with invasive breast cancer. The objective of this paper is to establish a non-invasive system for identifying HER2 and HR in breast cancer using dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). METHODS In light of the absence of high-performance algorithms and external validation in previously published methods, this study utilizes 3D deep features and radiomics features to represent the information of the Region of Interest (ROI). A Siamese Neural Network was employed as the classifier, with 3D deep features and radiomics features serving as the network input. To neutralize manufacturer bias, a batch effect normalization method, ComBat, was introduced. To enhance the reliability of the study, two datasets, Predict Your Therapeutic Response with Imaging and moLecular Analysis (I-SPY 1) and I-SPY 2, were incorporated. I-SPY 2 was utilized for model training and validation, while I-SPY 1 was exclusively employed for external validation. Additionally, a breast tumor segmentation network was trained to improve radiomic feature extraction. RESULTS The results indicate that our approach achieved an average Area Under the Curve (AUC) of 0.632, with a Standard Error of the Mean (SEM) of 0.042 for HER2 prediction in the I-SPY 2 dataset. For HR prediction, our method attained an AUC of 0.635 (SEM 0.041), surpassing other published methods in the AUC metric. Moreover, the proposed method yielded competitive results in other metrics. In external validation using the I-SPY 1 dataset, our approach achieved an AUC of 0.567 (SEM 0.032) for HR prediction and 0.563 (SEM 0.033) for HER2 prediction. CONCLUSION This study proposes a non-invasive system for identifying HER2 and HR in breast cancer. Although the results do not conclusively demonstrate superiority in both tasks, they indicate that the proposed method achieved good performance and is a competitive classifier compared to other reference methods. Ablation studies demonstrate that both radiomics features and deep features for the Siamese Neural Network are beneficial for the model. The introduced manufacturer bias normalization method has been shown to enhance the method's performance. Furthermore, the external validation of the method enhances the reliability of this research. Source code, pre-trained segmentation network, Radiomics and deep features, data for statistical analysis, and Supporting Information of this article are online at: https://github.com/FORRESTHUACHEN/Siamese_Neural_Network_based_Brest_cancer_Radiogenomic.
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Affiliation(s)
- Junhua Chen
- School of Medicine, Shanghai University, Shanghai, China
| | - Haiyan Zeng
- Department of Radiation Oncology, Division of Thoracic Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Yanyan Cheng
- Medical Engineering Department, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Shandong, China
| | - Banghua Yang
- School of Medicine, Shanghai University, Shanghai, China
- School of Mechatronic Engineering and Automation, Research Center of Brain Computer Engineering, Shanghai University, Shanghai, China
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Zhang C, Fu J. A new breast phantom suitable for digital mammography, contrast-enhanced digital mammography and digital breast tomosynthesis. Phys Med Biol 2023; 68. [PMID: 36696693 DOI: 10.1088/1361-6560/acb636] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2022] [Accepted: 01/25/2023] [Indexed: 01/26/2023]
Abstract
Our objective is to report a new breast phantom that provides the objective assessment for three types of clinical mammography, i.e. digital mammography (DM), contrast-enhanced digital mammography (CEDM), and digital breast tomosynthesis (DBT). The tissue-equivalent materials are used to represent the corresponding tissue, and the layer-by-layer structure with separate regions is designed for image quality assessment of different mammography modes. For DM imaging, substitutes for microcalcifications and fibroglandular tissue of different sizes are used to simulate the conventional breast. For CEDM imaging, the tumor module that can be injected with imaging contrast agents is adopted to distinguish normal tissue and diseased tissue in the dense breast. For DBT imaging, the overlapping breast mass module with multiple layers is designed to perform the layer-by-layer imaging of overlapping tissue. In addition, the quantitative assessment module of image quality is designed based on contrast-to-noise ratio, modulation transfer function and artifact spread function. This phantom allows image quality to be evaluated objectively for three different types of the clinical mammography, while it provides an effective tool for optimizing the dose-image quality relationship of patients.
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Affiliation(s)
- Changsheng Zhang
- School of Mechanical Engineering and Automation, Beihang University, Beijing, 100190, People's Republic of China
| | - Jian Fu
- School of Mechanical Engineering and Automation, Beihang University, Beijing, 100190, People's Republic of China.,Jiangxi Research Institute, Beihang University, Nanchang, 330000, People's Republic of China.,Ningbo Institute of Technology, Beihang University, Ningbo, 315000, People's Republic of China
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3
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Dyan B, Seele PP, Skepu A, Mdluli PS, Mosebi S, Sibuyi NRS. A Review of the Nucleic Acid-Based Lateral Flow Assay for Detection of Breast Cancer from Circulating Biomarkers at a Point-of-Care in Low Income Countries. Diagnostics (Basel) 2022; 12:diagnostics12081973. [PMID: 36010323 PMCID: PMC9406634 DOI: 10.3390/diagnostics12081973] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Revised: 08/08/2022] [Accepted: 08/09/2022] [Indexed: 12/24/2022] Open
Abstract
The current levels of breast cancer in African women have contributed to the high mortality rates among them. In South Africa, the incidence of breast cancer is also on the rise due to changes in behavioural and biological risk factors. Such low survival rates can be attributed to the late diagnosis of the disease due to a lack of access and the high costs of the current diagnostic tools. Breast cancer is asymptomatic at early stages, which is the best time to detect it and intervene to prevent high mortality rates. Proper risk assessment, campaigns, and access to adequate healthcare need to be prioritised among patients at an early stage. Early detection of breast cancer can significantly improve the survival rate of breast cancer patients, since therapeutic strategies are more effective at this stage. Early detection of breast cancer can be achieved by developing devices that are simple, sensitive, low-cost, and employed at point-of-care (POC), especially in low-income countries (LICs). Nucleic-acid-based lateral flow assays (NABLFAs) that combine molecular detection with the immunochemical visualisation principles, have recently emerged as tools for disease diagnosis, even for low biomarker concentrations. Detection of circulating genetic biomarkers in non-invasively collected biological fluids with NABLFAs presents an appealing and suitable method for POC testing in resource-limited regions and/or LICs. Diagnosis of breast cancer at an early stage will improve the survival rates of the patients. This review covers the analysis of the current state of NABLFA technologies used in developing countries to reduce the scourge of breast cancer.
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Affiliation(s)
- Busiswa Dyan
- Nanotechnology Innovation Centre, Health Platform, Mintek, 200 Malibongwe Drive, Randburg, Johannesburg 2194, South Africa
- Department of Life and Consumer Sciences, College of Agriculture and Environmental Sciences, University of South Africa, Private Bag X6, Florida, Johannesburg 1710, South Africa
- Correspondence: (B.D.); (N.R.S.S.)
| | - Palesa Pamela Seele
- Nanotechnology Innovation Centre, Health Platform, Mintek, 200 Malibongwe Drive, Randburg, Johannesburg 2194, South Africa
| | - Amanda Skepu
- Nanotechnology Innovation Centre, Health Platform, Mintek, 200 Malibongwe Drive, Randburg, Johannesburg 2194, South Africa
| | - Phumlane Selby Mdluli
- Nanotechnology Innovation Centre, Health Platform, Mintek, 200 Malibongwe Drive, Randburg, Johannesburg 2194, South Africa
| | - Salerwe Mosebi
- Department of Life and Consumer Sciences, College of Agriculture and Environmental Sciences, University of South Africa, Private Bag X6, Florida, Johannesburg 1710, South Africa
| | - Nicole Remaliah Samantha Sibuyi
- Nanotechnology Innovation Centre, Health Platform, Mintek, 200 Malibongwe Drive, Randburg, Johannesburg 2194, South Africa
- Correspondence: (B.D.); (N.R.S.S.)
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4
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Gerami R, Sadeghi Joni S, Akhondi N, Etemadi A, Fosouli M, Eghbal AF, Souri Z. A literature review on the imaging methods for breast cancer. INTERNATIONAL JOURNAL OF PHYSIOLOGY, PATHOPHYSIOLOGY AND PHARMACOLOGY 2022; 14:171-176. [PMID: 35891932 PMCID: PMC9301184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 10/30/2021] [Accepted: 05/07/2022] [Indexed: 03/29/2023]
Abstract
Breast cancer will be easier and more effective to treat if detected early. Breast cancer is assessed and detected using imaging as a primary approach. The capacity to diagnose breast cancers is continually improving thanks to developments in imaging technologies. However, some of these enhancements have been linked to delays in the initiation of treatment procedures of breast cancer. Overall, cancer management relies heavily on imaging procedures such as screening and symptomatic disease management. Mammography, which is considered the gold standard, and breast ultrasonography are employed as routine imaging modalities. Previous research has shown that, despite recent developments, no single imaging modality can detect and characterizing majority of breast lesions. Various imaging methods and their uses in diagnosing and caring the breast cancer are discussed in this study.
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Affiliation(s)
- Reza Gerami
- Department of Radiology, Faculty of Medicine, AJA University of Medical SciencesTehran, Iran
| | - Saeid Sadeghi Joni
- Department of Radiology, Razi Hospital, Guilan University of Medical SciencesRasht, Iran
| | - Negin Akhondi
- Department of Radiology, Shohadaye Tajrish Hospital, Shahid Beheshti University of Medical SciencesTehran, Iran
| | - Ali Etemadi
- Faculty of Medicine, Shahid Beheshti University of Medical SciencesTehran, Iran
| | - Mahnaz Fosouli
- Department of Radiology, Isfahan University of Medical SciencesIsfahan, Iran
| | | | - Zobin Souri
- Razi Clinical Research Development Unit, Razi Hospital, Guilan University of Medical SciencesRasht, Iran
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5
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Kim B, Kim HK, Kim J, Ki Y, Joo JH, Jeon H, Park D, Kim W, Nam J, Kim DH. Adaptive Image Rescaling for Weakly Contrast-Enhanced Lesions in Dedicated Breast CT: A Phantom Study. JOURNAL OF THE KOREAN SOCIETY OF RADIOLOGY 2021; 82:1477-1492. [PMID: 36238889 PMCID: PMC9431963 DOI: 10.3348/jksr.2020.0191] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Revised: 03/31/2021] [Accepted: 06/22/2021] [Indexed: 11/25/2022]
Abstract
Purpose Dedicated breast CT is an emerging volumetric X-ray imaging modality for diagnosis that does not require any painful breast compression. To improve the detection rate of weakly enhanced lesions, an adaptive image rescaling (AIR) technique was proposed. Materials and Methods Two disks containing five identical holes and five holes of different diameters were scanned using 60/100 kVp to obtain single-energy CT (SECT), dual-energy CT (DECT), and AIR images. A piece of pork was also scanned as a subclinical trial. The image quality was evaluated using image contrast and contrast-to-noise ratio (CNR). The difference of imaging performances was confirmed using student's t test. Results Total mean image contrast of AIR (0.70) reached 74.5% of that of DECT (0.94) and was higher than that of SECT (0.22) by 318.2%. Total mean CNR of AIR (5.08) was 35.5% of that of SECT (14.30) and was higher than that of DECT (2.28) by 222.8%. A similar trend was observed in the subclinical study. Conclusion The results demonstrated superior image contrast of AIR over SECT, and its higher overall image quality compared to DECT with half the exposure. Therefore, AIR seems to have the potential to improve the detectability of lesions with dedicated breast CT.
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Affiliation(s)
- Bitbyeol Kim
- School of Mechanical Engineering and the Center for Advanced Medical Engineering Research, Pusan National University, Busan, Korea
| | - Ho Kyung Kim
- School of Mechanical Engineering and the Center for Advanced Medical Engineering Research, Pusan National University, Busan, Korea
| | - Jinsung Kim
- Department of Radiation Oncology, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Korea
| | - Yongkan Ki
- Department of Radiation Oncology, Pusan National University School of Medicine, Yangsan, Korea
| | - Ji Hyeon Joo
- Department of Radiation Oncology and Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan, Korea
| | - Hosang Jeon
- Department of Radiation Oncology and Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan, Korea
| | - Dahl Park
- Department of Radiation Oncology, Pusan National University Hospital, Busan, Korea
| | - Wontaek Kim
- Department of Radiation Oncology, Pusan National University School of Medicine, Yangsan, Korea
| | - Jiho Nam
- Department of Radiation Oncology, Pusan National University Hospital, Busan, Korea
| | - Dong Hyeon Kim
- Department of Radiation Oncology, Pusan National University Hospital, Busan, Korea
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Ranjan P, Parihar A, Jain S, Kumar N, Dhand C, Murali S, Mishra D, Sanghi SK, Chaurasia JP, Srivastava AK, Khan R. Biosensor-based diagnostic approaches for various cellular biomarkers of breast cancer: A comprehensive review. Anal Biochem 2020; 610:113996. [PMID: 33080213 DOI: 10.1016/j.ab.2020.113996] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2020] [Revised: 10/09/2020] [Accepted: 10/13/2020] [Indexed: 02/05/2023]
Affiliation(s)
- Pushpesh Ranjan
- CSIR - Advanced Materials and Processes Research Institute (AMPRI), Hoshangabad Road, Bhopal, 462026, India; Academy of Scientific and Innovative Research (AcSIR), CSIR-AMPRI, Bhopal, 462026, India
| | - Arpana Parihar
- Department of Biochemistry and Genetics, Barkatullah University, Bhopal, Madhya Pradesh, 462026, India
| | - Surbhi Jain
- Department of Biochemistry and Genetics, Barkatullah University, Bhopal, Madhya Pradesh, 462026, India
| | - Neeraj Kumar
- CSIR - Advanced Materials and Processes Research Institute (AMPRI), Hoshangabad Road, Bhopal, 462026, India; Academy of Scientific and Innovative Research (AcSIR), CSIR-AMPRI, Bhopal, 462026, India
| | - Chetna Dhand
- CSIR - Advanced Materials and Processes Research Institute (AMPRI), Hoshangabad Road, Bhopal, 462026, India
| | - S Murali
- CSIR - Advanced Materials and Processes Research Institute (AMPRI), Hoshangabad Road, Bhopal, 462026, India
| | - Deepti Mishra
- CSIR - Advanced Materials and Processes Research Institute (AMPRI), Hoshangabad Road, Bhopal, 462026, India
| | - Sunil K Sanghi
- CSIR - Advanced Materials and Processes Research Institute (AMPRI), Hoshangabad Road, Bhopal, 462026, India
| | - J P Chaurasia
- CSIR - Advanced Materials and Processes Research Institute (AMPRI), Hoshangabad Road, Bhopal, 462026, India
| | - Avanish K Srivastava
- CSIR - Advanced Materials and Processes Research Institute (AMPRI), Hoshangabad Road, Bhopal, 462026, India.
| | - Raju Khan
- CSIR - Advanced Materials and Processes Research Institute (AMPRI), Hoshangabad Road, Bhopal, 462026, India.
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7
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Borges LR, Brochi MAC, Xu Z, Foi A, Vieira MAC, Azevedo-Marques PM. Noise modeling and variance stabilization of a computed radiography (CR) mammography system subject to fixed-pattern noise. Phys Med Biol 2020; 65:225035. [PMID: 33231201 DOI: 10.1088/1361-6560/abbb74] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
In this work we model the noise properties of a computed radiography (CR) mammography system by adding an extra degree of freedom to a well-established noise model, and derive a variance-stabilizing transform (VST) to convert the signal-dependent noise into approximately signal-independent. The proposed model relies on a quadratic variance function, which considers fixed-pattern (structural), quantum and electronic noise. It also accounts for the spatial-dependency of the noise by assuming a space-variant quantum coefficient. The proposed noise model was compared against two alternative models commonly found in the literature. The first alternative model ignores the spatial-variability of the quantum noise, and the second model assumes negligible structural noise. We also derive a VST to convert noisy observations contaminated by the proposed noise model into observations with approximately Gaussian noise and constant variance equals to one. Finally, we estimated a look-up table that can be used as an inverse transform in denoising applications. A phantom study was conducted to validate the noise model, VST and inverse VST. The results show that the space-variant signal-dependent quadratic noise model is appropriate to describe noise in this CR mammography system (errors< 2.0% in terms of signal-to-noise ratio). The two alternative noise models were outperformed by the proposed model (errors as high as 14.7% and 9.4%). The designed VST was able to stabilize the noise so that it has variance approximately equal to one (errors< 4.1%), while the two alternative models achieved errors as high as 26.9% and 18.0%, respectively. Finally, the proposed inverse transform was capable of returning the signal to the original signal range with virtually no bias.
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Affiliation(s)
- Lucas R Borges
- Ribeirão Preto Medical School, University of São Paulo, Brazil
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8
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Junior OP, Oliveira HCR, Ferraz CT, Saito JH, Vieira MADC, Gonzaga A. A Novel Fusion-Based Texture Descriptor to Improve the Detection of Architectural Distortion in Digital Mammography. J Digit Imaging 2020; 34:36-52. [PMID: 33179194 DOI: 10.1007/s10278-020-00391-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2019] [Revised: 08/12/2020] [Accepted: 09/22/2020] [Indexed: 11/28/2022] Open
Abstract
Architectural distortion (AD) is the earliest sign of breast cancer that can be detected on a mammogram, and it is usually associated with malignant tumors. Breast cancer is one of the major causes of death among women, and the chance of cure can increase significantly when detected early. Computer-aided detection (CAD) systems have been used in clinical practice to assist radiologists with the task of detecting breast lesions. However, due to the complexity and subtlety of AD, its detection is still a challenge, even with the assistance of CAD. Recently, the fusion of descriptors has become a trend for improving the performance of computer vision algorithms. In this work, we evaluated some local texture descriptors and their possible combinations, considering different fusion approaches, for application in CAD systems to improve AD detection. In addition, we present a novel fusion-based texture descriptor, the Completed Mean Local Mapped Pattern (CMLMP), which is based on complementary information between three LMP operators (signal, magnitude and center) and the local differences between pixel values and the mean value of a neighborhood. We compared the performance of the proposed descriptor with two other well-known descriptors: the Completed Local Binary Pattern (CLBP) and the Completed Local Mapped Pattern (CLMP), for the task of detecting AD in 350 digital mammography clinical images. The results showed that the descriptor proposed in this work outperforms the others, for both individual and fused approaches. Moreover, the choice of the fusion operator is crucial because it results in different detection performances.
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Affiliation(s)
- Osmando Pereira Junior
- Federal Institute of Education Science and Technology of Triângulo Mineiro (IFTM), Patrocínio, Minas Gerais, Brazil.
| | | | - Carolina Toledo Ferraz
- University Center Campo Limpo Paulista (UNIFACCAMP), Campo Limpo Paulista (SP), São Paulo, Brazil
| | - José Hiroki Saito
- University Center Campo Limpo Paulista (UNIFACCAMP), Campo Limpo Paulista (SP), São Paulo, Brazil
| | | | - Adilson Gonzaga
- São Carlos School of Engineering, University of São Paulo (EESC/USP), São Carlos, São Paulo, Brazil
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Zhang R, Fowler AM, Wilke LG, Kelcz F, Garrett JW, Chen GH, Li K. Fast acquisition with seamless stage translation (FASST) for a trimodal x-ray breast imaging system. Med Phys 2020; 47:4356-4362. [PMID: 32458449 PMCID: PMC7704901 DOI: 10.1002/mp.14297] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2019] [Revised: 04/08/2020] [Accepted: 05/19/2020] [Indexed: 12/16/2022] Open
Abstract
PURPOSE A major technical obstacle to bringing x-ray multicontrast (i.e., attenuation, phase, and dark-field) imaging methodology to clinical use is the prolonged data acquisition time caused by the phase stepping procedure. The purpose of this work was to introduce a fast acquisition with seamless stage translation (FASST) technique to a prototype multicontrast breast imaging system for reduced image acquisition time that is clinically acceptable. METHODS The prototype system was constructed based on a Hologic full-field digital mammography + digital breast tomosynthesis combination system. During each FASST acquisition process, a motorized stage holding a diffraction grating travels continuously with a constant velocity, and a train of 15 short x-ray pulses (35 ms each) was delivered by using the Zero-Degree Tomo mode of the Hologic system. Standard phase retrieval was applied to the 15 subimages without spatial interpolation to avoid spatial resolution loss. The method was evaluated using a physical phantom, a bovine udder specimen, and a freshly resected mastectomy specimen. The FASST technique was experimentally compared with single-shot acquisition methods and the standard phase stepping method. RESULTS The image acquisition time of the proposed method is 3.7 s. In comparison, conventional phase stepping took 105 s using the same prototype imaging system. The mean glandular dose of both methods was matched at 1.3 mGy. No artifacts or spatial resolution loss was observed in images produced by FASST. In contrast, the single-shot methods led to spatial resolution loss and residual moiré artifacts. CONCLUSIONS The FASST technique reduces the data acquisition time of the prototype multicontrast x-ray breast imaging system to 3.7 s, such that it is comparable to a clinical digital breast tomosynthesis exam.
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Affiliation(s)
- Ran Zhang
- Department of Medical Physics, University of Wisconsin-Madison, 1111 Highland Avenue, Madison, WI, 53705, USA
| | - Amy M Fowler
- Department of Radiology, University of Wisconsin-Madison, 600 Highland Avenue, Madison, WI, 53792, USA
- University of Wisconsin Carbone Cancer Center, 600 Highland Avenue, Madison, WI, 53792, USA
| | - Lee G Wilke
- University of Wisconsin Carbone Cancer Center, 600 Highland Avenue, Madison, WI, 53792, USA
- Department of Surgery, Clinical Science Center, University of Wisconsin School of Medicine and Public Health, Madison, WI, 53792, USA
| | - Frederick Kelcz
- Department of Radiology, University of Wisconsin-Madison, 600 Highland Avenue, Madison, WI, 53792, USA
| | - John W Garrett
- Department of Radiology, University of Wisconsin-Madison, 600 Highland Avenue, Madison, WI, 53792, USA
| | - Guang-Hong Chen
- Department of Medical Physics, University of Wisconsin-Madison, 1111 Highland Avenue, Madison, WI, 53705, USA
- Department of Radiology, University of Wisconsin-Madison, 600 Highland Avenue, Madison, WI, 53792, USA
| | - Ke Li
- Department of Medical Physics, University of Wisconsin-Madison, 1111 Highland Avenue, Madison, WI, 53705, USA
- Department of Radiology, University of Wisconsin-Madison, 600 Highland Avenue, Madison, WI, 53792, USA
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Mettivier G, Masi M, Arfelli F, Brombal L, Delogu P, Di Lillo F, Donato S, Fedon C, Golosio B, Oliva P, Rigon L, Sarno A, Taibi A, Russo P. Radiochromic film dosimetry in synchrotron radiation breast computed tomography: a phantom study. JOURNAL OF SYNCHROTRON RADIATION 2020; 27:762-771. [PMID: 32381779 PMCID: PMC7285685 DOI: 10.1107/s1600577520001745] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/30/2019] [Accepted: 02/07/2020] [Indexed: 06/11/2023]
Abstract
This study relates to the INFN project SYRMA-3D for in vivo phase-contrast breast computed tomography using the SYRMEP synchrotron radiation beamline at the ELETTRA facility in Trieste, Italy. This peculiar imaging technique uses a novel dosimetric approach with respect to the standard clinical procedure. In this study, optimization of the acquisition procedure was evaluated in terms of dose delivered to the breast. An offline dose monitoring method was also investigated using radiochromic film dosimetry. Various irradiation geometries have been investigated for scanning the prone patient's pendant breast, simulated by a 14 cm-diameter polymethylmethacrylate cylindrical phantom containing pieces of calibrated radiochromic film type XR-QA2. Films were inserted mid-plane in the phantom, as well as wrapped around its external surface, and irradiated at 38 keV, with an air kerma value that would produce an estimated mean glandular dose of 5 mGy for a 14 cm-diameter 50% glandular breast. Axial scans were performed over a full rotation or over 180°. The results point out that a scheme adopting a stepped rotation irradiation represents the best geometry to optimize the dose distribution to the breast. The feasibility of using a piece of calibrated radiochromic film wrapped around a suitable holder around the breast to monitor the scan dose offline is demonstrated.
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Affiliation(s)
- Giovanni Mettivier
- Dipartimento di Fisica ‘Ettore Pancini’, Università di Napoli ‘Federico II’, I-80126 Napoli, Italy
- INFN, Sezione di Napoli, I-80126 Napoli, Italy
| | - Marica Masi
- Dipartimento di Fisica ‘Ettore Pancini’, Università di Napoli ‘Federico II’, I-80126 Napoli, Italy
- INFN, Sezione di Napoli, I-80126 Napoli, Italy
| | - Fulvia Arfelli
- Department of Physics, Università di Trieste, I-34127 Trieste, Italy
- Sezione di Trieste, INFN, I-34127 Trieste, Italy
| | - Luca Brombal
- Department of Physics, Università di Trieste, I-34127 Trieste, Italy
- Sezione di Trieste, INFN, I-34127 Trieste, Italy
| | - Pasquale Delogu
- Department of Physical Science, Earth and Environment, Università di Siena, I-53100 Siena, Italy
- Sezione di Pisa, INFN, I-34127 Pisa, Italy
| | - Francesca Di Lillo
- Dipartimento di Fisica ‘Ettore Pancini’, Università di Napoli ‘Federico II’, I-80126 Napoli, Italy
- INFN, Sezione di Napoli, I-80126 Napoli, Italy
- ELETTRA-Sincrotrone Trieste SCpA, Bassovizza, I-34149 Trieste, Italy
| | - Sandro Donato
- Department of Physics, Università di Trieste, I-34127 Trieste, Italy
- Sezione di Trieste, INFN, I-34127 Trieste, Italy
| | - Christian Fedon
- Sezione di Trieste, INFN, I-34127 Trieste, Italy
- Department of Radiology and Nuclear Medicine, Radboud University Medical Center, 6500 HB Nijmegen, The Netherlands
| | - Bruno Golosio
- Department of Physics, Università di Cagliari, I-09042 Cagliari, Italy
- Sezione di Cagliari, INFN, I-09042 Cagliari, Italy
| | - Piernicola Oliva
- Sezione di Cagliari, INFN, I-09042 Cagliari, Italy
- Department of Chemistry and Pharmacy, Università di Sassari, Sassari, Italy
| | - Luigi Rigon
- Department of Physics, Università di Trieste, I-34127 Trieste, Italy
- Sezione di Trieste, INFN, I-34127 Trieste, Italy
| | | | - Angelo Taibi
- Department of Physics and Earth Science, Università di Ferrara, I-44122 Ferrara, Italy
- Sezione di Ferrara, INFN, I-44122 Ferrara, Italy
| | - Paolo Russo
- Dipartimento di Fisica ‘Ettore Pancini’, Università di Napoli ‘Federico II’, I-80126 Napoli, Italy
- INFN, Sezione di Napoli, I-80126 Napoli, Italy
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Ouyang J, Sun L, Zeng Z, Zeng C, Zeng F, Wu S. Nanoaggregate Probe for Breast Cancer Metastasis through Multispectral Optoacoustic Tomography and Aggregation‐Induced NIR‐I/II Fluorescence Imaging. Angew Chem Int Ed Engl 2019; 59:10111-10121. [DOI: 10.1002/anie.201913149] [Citation(s) in RCA: 99] [Impact Index Per Article: 19.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2019] [Indexed: 12/14/2022]
Affiliation(s)
- Juan Ouyang
- State Key Laboratory of Luminescent Materials and DevicesGuangdong Provincial Key Laboratory of Luminescence from Molecular AggregatesCollege of Materials Science and EngineeringSouth China University of Technology Wushan Road 381 Guangzhou 510640 China
| | - Lihe Sun
- State Key Laboratory of Luminescent Materials and DevicesGuangdong Provincial Key Laboratory of Luminescence from Molecular AggregatesCollege of Materials Science and EngineeringSouth China University of Technology Wushan Road 381 Guangzhou 510640 China
| | - Zhuo Zeng
- State Key Laboratory of Luminescent Materials and DevicesGuangdong Provincial Key Laboratory of Luminescence from Molecular AggregatesCollege of Materials Science and EngineeringSouth China University of Technology Wushan Road 381 Guangzhou 510640 China
| | - Cheng Zeng
- State Key Laboratory of Luminescent Materials and DevicesGuangdong Provincial Key Laboratory of Luminescence from Molecular AggregatesCollege of Materials Science and EngineeringSouth China University of Technology Wushan Road 381 Guangzhou 510640 China
| | - Fang Zeng
- State Key Laboratory of Luminescent Materials and DevicesGuangdong Provincial Key Laboratory of Luminescence from Molecular AggregatesCollege of Materials Science and EngineeringSouth China University of Technology Wushan Road 381 Guangzhou 510640 China
| | - Shuizhu Wu
- State Key Laboratory of Luminescent Materials and DevicesGuangdong Provincial Key Laboratory of Luminescence from Molecular AggregatesCollege of Materials Science and EngineeringSouth China University of Technology Wushan Road 381 Guangzhou 510640 China
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12
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Ouyang J, Sun L, Zeng Z, Zeng C, Zeng F, Wu S. Nanoaggregate Probe for Breast Cancer Metastasis through Multispectral Optoacoustic Tomography and Aggregation‐Induced NIR‐I/II Fluorescence Imaging. Angew Chem Int Ed Engl 2019. [DOI: 10.1002/ange.201913149] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Affiliation(s)
- Juan Ouyang
- State Key Laboratory of Luminescent Materials and DevicesGuangdong Provincial Key Laboratory of Luminescence from Molecular AggregatesCollege of Materials Science and EngineeringSouth China University of Technology Wushan Road 381 Guangzhou 510640 China
| | - Lihe Sun
- State Key Laboratory of Luminescent Materials and DevicesGuangdong Provincial Key Laboratory of Luminescence from Molecular AggregatesCollege of Materials Science and EngineeringSouth China University of Technology Wushan Road 381 Guangzhou 510640 China
| | - Zhuo Zeng
- State Key Laboratory of Luminescent Materials and DevicesGuangdong Provincial Key Laboratory of Luminescence from Molecular AggregatesCollege of Materials Science and EngineeringSouth China University of Technology Wushan Road 381 Guangzhou 510640 China
| | - Cheng Zeng
- State Key Laboratory of Luminescent Materials and DevicesGuangdong Provincial Key Laboratory of Luminescence from Molecular AggregatesCollege of Materials Science and EngineeringSouth China University of Technology Wushan Road 381 Guangzhou 510640 China
| | - Fang Zeng
- State Key Laboratory of Luminescent Materials and DevicesGuangdong Provincial Key Laboratory of Luminescence from Molecular AggregatesCollege of Materials Science and EngineeringSouth China University of Technology Wushan Road 381 Guangzhou 510640 China
| | - Shuizhu Wu
- State Key Laboratory of Luminescent Materials and DevicesGuangdong Provincial Key Laboratory of Luminescence from Molecular AggregatesCollege of Materials Science and EngineeringSouth China University of Technology Wushan Road 381 Guangzhou 510640 China
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Samara ET, Tsapaki V, Sramek D. Dose management software implementation in mammography. Phys Med 2019; 68:88-95. [PMID: 31765886 DOI: 10.1016/j.ejmp.2019.11.008] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2019] [Revised: 07/22/2019] [Accepted: 11/08/2019] [Indexed: 10/25/2022] Open
Abstract
PURPOSE This work aimed to evaluate the use of a dose management software (DMS) in mammography and analyse the clinical practice in terms of radiation exposure in screening and diagnostic mammography. METHODS Mean glandular dose (MGD) from approximately 10,000 images were collected and analysed taking into account anode/filter combination, projection, compressed breast thickness (CBT) and compression force. Causes of increased MGD were investigated and actions were taken when malpractice was detected. RESULTS MGD values for craniocaudal (CC) and mediolateral oblique (MLO) exposures for different CBT were defined. The average MGD for CBT of 60-69 mm was 1.84 mGy for CC images and 1.85 mGy for MLO images for screening examinations, while for diagnostic examinations the MGD was 1.95 mGy for CC and 2.01 mGy for MLO images. As no national diagnostic reference levels (DRLs) for mammography exist in Switzerland, typical mean glandular dose (MGD) values were defined as a first step towards their establishment for both screening and diagnostic examinations. CONCLUSIONS The use of DMS facilitated immensely the analysis of all clinical and technical parameters, the evaluation of radiation dose received by the patients, as well as the overall evaluation of radiographers' performance. The DMS disclosed the role of the medical physicist in dose management and optimization.
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Affiliation(s)
| | - V Tsapaki
- Konstantopouleio Geniko Nosokomeio Neas Ionias-Agia Olga, Athens, Greece
| | - D Sramek
- Valais Hospital, Brig, Switzerland
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de Oliveira HC, Mencattini A, Casti P, Catani JH, de Barros N, Gonzaga A, Martinelli E, da Costa Vieira MA. A cross-cutting approach for tracking architectural distortion locii on digital breast tomosynthesis slices. Biomed Signal Process Control 2019. [DOI: 10.1016/j.bspc.2019.01.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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15
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Yang J, Yin J. Discrimination between breast invasive ductal carcinomas and benign lesions by optimizing quantitative parameters derived from dynamic contrast-enhanced MRI using a semi-automatic method. Int J Clin Oncol 2019; 24:815-824. [PMID: 30810889 DOI: 10.1007/s10147-019-01421-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2018] [Accepted: 02/21/2019] [Indexed: 11/24/2022]
Abstract
BACKGROUND To propose a semi-automatic method for distinguishing invasive ductal carcinomas from benign lesions on breast dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). METHODS 142 cases were included. In the conventional method, the region of interest for a breast lesion was drawn manually and the corresponding mean time-signal intensity curve (TIC) was qualitatively categorized. Only one quantitative parameter was obtained: the maximum slope of increase (MSI). By contrast, the proposed method extracted the suspicious breast lesion semi-automatically. Besides MSI, more quantitative parameters reflecting perfusion information were derived from the mean TIC and lesion region, including the signal intensity slope (SIslope), initial percentage of enhancement, percentage of peak enhancement, early signal enhancement ratio, and second enhancement percentage. The mean TIC was categorized quantitatively according to the value of SIslope. Regression models were established. The diagnostic performance differed between the new and conventional methods according to the Wilcoxon rank-sum test and receiver operating characteristic analysis. RESULTS According to the TIC categorization results, the accuracies of the traditional and the new method were 59.16% and 76.05%, respectively (P < 0.05). The accuracy was 63.35% for MSI, which was derived from the manual method. For the semi-automatic method, the accuracies were 81.0% and 78.9% for the lesion region and the corresponding mean TIC regression models, respectively. CONCLUSIONS The results demonstrate that our proposed semi-automatic method is beneficial for discriminating breast IDCs and benign lesions based on DCE-MRI, and this method should be considered as a supplementary tool for subjective diagnosis by clinical radiologists.
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Affiliation(s)
- Jiawen Yang
- Department of Equipment, Shengjing Hospital of China Medical University, Shenyang, China
| | - Jiandong Yin
- Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, China.
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Deng Y, Xu A, Yu Y, Fu C, Liang G. Biomedical Applications of Fluorescent and Magnetic Resonance Imaging Dual‐Modality Probes. Chembiochem 2018; 20:499-510. [DOI: 10.1002/cbic.201800450] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2018] [Indexed: 12/12/2022]
Affiliation(s)
- Yun Deng
- Institute for Interdisciplinary & Research Key Laboratory of, Optoelectronic Chemical Materials and Devices of Ministry of EducationJianghan University Wuhan 430056 P.R. China
| | - Aifei Xu
- School of Tobacco Science and EngineeringZhengzhou University of Light Industry Zhengzhou 450002 P.R. China
| | - Yanhua Yu
- Institute for Interdisciplinary & Research Key Laboratory of, Optoelectronic Chemical Materials and Devices of Ministry of EducationJianghan University Wuhan 430056 P.R. China
| | - Cheng Fu
- Institute for Interdisciplinary & Research Key Laboratory of, Optoelectronic Chemical Materials and Devices of Ministry of EducationJianghan University Wuhan 430056 P.R. China
| | - Gaolin Liang
- CAS Key Laboratory of Soft Matter ChemistryDepartment of ChemistryUniversity of Science and Technology of China Hefei 230026 P.R. China
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Ultrasmall targeted nanoparticles with engineered antibody fragments for imaging detection of HER2-overexpressing breast cancer. Nat Commun 2018; 9:4141. [PMID: 30297810 PMCID: PMC6175906 DOI: 10.1038/s41467-018-06271-5] [Citation(s) in RCA: 103] [Impact Index Per Article: 17.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2018] [Accepted: 08/24/2018] [Indexed: 12/11/2022] Open
Abstract
Controlling the biodistribution of nanoparticles upon intravenous injection is the key to achieving target specificity. One of the impediments in nanoparticle-based tumor targeting is the inability to limit the trafficking of nanoparticles to liver and other organs leading to smaller accumulated amounts in tumor tissues, particularly via passive targeting. Here we overcome both these challenges by designing nanoparticles that combine the specificity of antibodies with favorable particle biodistribution profiles, while not exceeding the threshold for renal filtration as a combined vehicle. To that end, ultrasmall silica nanoparticles are functionalized with anti-human epidermal growth factor receptor 2 (HER2) single-chain variable fragments to exhibit high tumor-targeting efficiency and efficient renal clearance. This ultrasmall targeted nanotheranostics/nanotherapeutic platform has broad utility, both for imaging a variety of tumor tissues by suitably adopting the targeting fragment and as a potentially useful drug delivery vehicle.
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Detection and volume estimation of artificial hematomas in the subcutaneous fatty tissue: comparison of different MR sequences at 3.0 T. Forensic Sci Med Pathol 2017; 13:135-144. [PMID: 28251480 PMCID: PMC5429378 DOI: 10.1007/s12024-017-9847-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/23/2017] [Indexed: 11/09/2022]
Abstract
In legal medicine, reliable localization and analysis of hematomas in subcutaneous fatty tissue is required for forensic reconstruction. Due to the absence of ionizing radiation, magnetic resonance imaging (MRI) is particularly suited to examining living persons with forensically relevant injuries. However, there is limited experience regarding MRI signal properties of hemorrhage in soft tissue. The aim of this study was to evaluate MR sequences with respect to their ability to show high contrast between hematomas and subcutaneous fatty tissue as well as to reliably determine the volume of artificial hematomas. Porcine tissue models were prepared by injecting blood into the subcutaneous fatty tissue to create artificial hematomas. MR images were acquired at 3T and four blinded observers conducted manual segmentation of the hematomas. To assess segmentability, the agreement of measured volume with the known volume of injected blood was statistically analyzed. A physically motivated normalization taking into account partial volume effect was applied to the data to ensure comparable results among differently sized hematomas. The inversion recovery sequence exhibited the best segmentability rate, whereas the T1T2w turbo spin echo sequence showed the most accurate results regarding volume estimation. Both sequences led to reproducible volume estimations. This study demonstrates that MRI is a promising forensic tool to assess and visualize even very small amounts of blood in soft tissue. The presented results enable the improvement of protocols for detection and volume determination of hemorrhage in forensically relevant cases and also provide fundamental knowledge for future in-vivo examinations.
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Alvarado A, Faustino-Rocha AI, Colaço B, Oliveira PA. Experimental mammary carcinogenesis - Rat models. Life Sci 2017; 173:116-134. [PMID: 28188729 DOI: 10.1016/j.lfs.2017.02.004] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2016] [Revised: 01/26/2017] [Accepted: 02/06/2017] [Indexed: 12/22/2022]
Abstract
Mammary cancer is one of the most common cancers, victimizing more than half a million of women worldwide every year. Despite all the studies in this field, the current therapeutic approaches are not effective and have several devastating effects for patients. In this way, the need to better understand the mammary cancer biopathology and find effective therapies led to the development of several rodent models over years. With this review, the authors intended to provide the readers with an overview of the rat models used to study mammary carcinogenesis, with a special emphasis on chemically-induced models.
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Affiliation(s)
- Antonieta Alvarado
- Área de Patología, Decanato de Ciencias Veterinarias, Universidad Centroccidental "Lisandro Alvarado", UCLA, Lara, Venezuela; Center for the Research and Technology of Agro-Environmental and Biological Sciences (CITAB), University of Trás-os-Montes and Alto Douro (UTAD), Vila Real, Portugal
| | - Ana I Faustino-Rocha
- Center for the Research and Technology of Agro-Environmental and Biological Sciences (CITAB), University of Trás-os-Montes and Alto Douro (UTAD), Vila Real, Portugal; Department of Veterinary Sciences, School of Agrarian and Veterinary Sciences, UTAD, Vila Real, Portugal
| | - Bruno Colaço
- Center for the Research and Technology of Agro-Environmental and Biological Sciences (CITAB), University of Trás-os-Montes and Alto Douro (UTAD), Vila Real, Portugal; Department of Zootechnics, School of Agrarian and Veterinary Sciences, UTAD, Vila Real, Portugal
| | - Paula A Oliveira
- Center for the Research and Technology of Agro-Environmental and Biological Sciences (CITAB), University of Trás-os-Montes and Alto Douro (UTAD), Vila Real, Portugal; Department of Veterinary Sciences, School of Agrarian and Veterinary Sciences, UTAD, Vila Real, Portugal.
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Ren L, Wu D, Li Y, Zheng B, Chen Y, Yang K, Liu H. Practical alignment method for X-ray spectral measurement in micro-CT system based on 3D printing technology. Biomed Phys Eng Express 2016; 2. [PMID: 27777787 DOI: 10.1088/2057-1976/2/3/037004] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
This study presents a practical alignment method for X-ray spectral measurement in a rotating gantry based micro-computed tomography (micro-CT) system using three-dimensional (3D) printing technology. In order to facilitate the spectrometer placement inside the gantry, supporting structures including a cover and a stand were dedicatedly designed and printed using a 3D printer. According to the relative position between the spectrometer and the stand, the upright projection of the spectrometer collimator onto the stand was determined and then marked by a tungsten pinhole. Thus, a visible alignment indicator of the X-ray central beam and the spectrometer collimator represented by the pinhole was established in the micro-CT live mode. Then, a rough alignment could be achieved through repeatedly adjusting and imaging the stand until the pinhole was located at the center of the acquired projection image. With the spectrometer being positioned back onto the stand, the precise alignment was completed by slightly translating the spectrometer-stand assembly around the rough location, until finding a "sweet spot" with the highest photon rate and proper distribution of the X-ray photons in the resultant spectrum. The spectra were acquired under precise alignment and misalignment of approximately 0.2, 0.5, and 1.0mm away from the precise alignment position, and then were compared in qualitative and quantitative analyses. Qualitative analysis results show that, with slight misalignment, the photon rate is reduced from 1302 to 1098, 1031, and 416 photons/second (p/s), respectively, and the characteristic peaks in the acquired spectra are gradually deteriorated. Quantitative analysis indicates that the energy resolutions for characteristic peak of Kα1 were calculated as 1.56% for precise alignment, while were 1.84% and 2.40% for slight misalignment of 0.2mm and 0.5mm. The mean energies were reduced from 43.93keV under precise alignment condition to 40.97, 39.63 and 37.78keV when misaligned. Accurate spectral measurements in micro-CT systems are significantly influenced by the alignment precision. This practical alignment method using 3D printing technology could be readily applied to other rotating gantry based micro-CT systems with modified design of the supporting structures and careful considerations of the spectrometer and gantry dimensions.
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Affiliation(s)
- Liqiang Ren
- Center for Biomedical Engineering and School of Electrical and Computer Engineering, University of Oklahoma, Norman, Oklahoma 73019, USA
| | - Di Wu
- Center for Biomedical Engineering and School of Electrical and Computer Engineering, University of Oklahoma, Norman, Oklahoma 73019, USA
| | - Yuhua Li
- Center for Biomedical Engineering and School of Electrical and Computer Engineering, University of Oklahoma, Norman, Oklahoma 73019, USA
| | - Bin Zheng
- Center for Biomedical Engineering and School of Electrical and Computer Engineering, University of Oklahoma, Norman, Oklahoma 73019, USA
| | - Yong Chen
- Department of Radiation Oncology, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma 73014, USA
| | - Kai Yang
- Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts 02114, USA
| | - Hong Liu
- Center for Biomedical Engineering and School of Electrical and Computer Engineering, University of Oklahoma, Norman, Oklahoma 73019, USA
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Laamanen C, LeClair RJ. Scatter point models for breast cone-beam computed tomography: preliminary study. Biomed Phys Eng Express 2016. [DOI: 10.1088/2057-1976/2/3/035022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
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Evaluation of a Hanging-Breast PET System for Primary Tumor Visualization in Patients With Stage I-III Breast Cancer: Comparison With Standard PET/CT. AJR Am J Roentgenol 2016; 206:1307-14. [PMID: 27058014 DOI: 10.2214/ajr.15.15371] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
OBJECTIVE The purposes of this study were to evaluate the performance of a mammography with molecular imaging PET (MAMMI-PET) system for breast imaging in the hanging-breast position for the visualization of primary breast cancer lesions and to compare this method with whole-body PET/CT. SUBJECTS AND METHODS Between March 2011 and March 2014, a prospective evaluation included women with one or more histologically confirmed primary breast cancer lesions (index lesions). After injection of 180-240 MBq of (18)F-FDG, whole-body PET/CT and MAMMI-PET acquisitions were performed, index lesions were scored 0, 1, or 2 for FDG uptake relative to background. Detection and FDG uptake were compared by breast length, maximal tumor diameter, affected breast quadrants, tumor grade, and histologic and immunologic sub-types. Finally, the two PET modalities were compared for detection of index lesions. RESULTS For 234 index lesions (diameter, 5-170 mm), the overall sensitivity was 88.9% for MAMMI-PET and 91% for PET/CT (p = 0.61). Twenty-three (9.8%) index lesions located too close to the pectoral muscle were missed with MAMMI-PET, and 20 index lesions were missed with PET/CT. Lesion visibility on MAMMI-PET images was influenced by tumor grade (p = 0.034) but not by cancer subtype (p = 0.65). CONCLUSION Although in an overall evaluation MAMMI-PET was not superior to PET/CT, MAMMI-PET does have higher sensitivity for primary breast cancer lesions within the scanning range of the device. Optimization of the positioning device may increase visualization of the most dorsal lesions.
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Vedantham S, Karellas A, Vijayaraghavan GR, Kopans DB. Digital Breast Tomosynthesis: State of the Art. Radiology 2016; 277:663-84. [PMID: 26599926 DOI: 10.1148/radiol.2015141303] [Citation(s) in RCA: 126] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
This topical review on digital breast tomosynthesis (DBT) is provided with the intent of describing the state of the art in terms of technology, results from recent clinical studies, advanced applications, and ongoing efforts to develop multimodality imaging systems that include DBT. Particular emphasis is placed on clinical studies. The observations of increase in cancer detection rates, particularly for invasive cancers, and the reduction in false-positive rates with DBT in prospective trials indicate its benefit for breast cancer screening. Retrospective multireader multicase studies show either noninferiority or superiority of DBT compared with mammography. Methods to curtail radiation dose are of importance. (©) RSNA, 2015.
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Affiliation(s)
- Srinivasan Vedantham
- From the Department of Radiology, University of Massachusetts Medical School, 55 Lake Ave North, Worcester, MA 01655 (S.V., A.K., G.R.V.); and Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Mass (D.B.K.)
| | - Andrew Karellas
- From the Department of Radiology, University of Massachusetts Medical School, 55 Lake Ave North, Worcester, MA 01655 (S.V., A.K., G.R.V.); and Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Mass (D.B.K.)
| | - Gopal R Vijayaraghavan
- From the Department of Radiology, University of Massachusetts Medical School, 55 Lake Ave North, Worcester, MA 01655 (S.V., A.K., G.R.V.); and Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Mass (D.B.K.)
| | - Daniel B Kopans
- From the Department of Radiology, University of Massachusetts Medical School, 55 Lake Ave North, Worcester, MA 01655 (S.V., A.K., G.R.V.); and Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Mass (D.B.K.)
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Kulkarni M, Dendere R, Nicolls F, Douglas TS. Monte-Carlo simulation of a slot-scanning digital mammography system for tomosynthesis. JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY 2016; 24:191-206. [PMID: 27002901 DOI: 10.3233/xst-160543] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
Abstract
BACKGROUND Digital breast tomosynthesis (DBT) reconstructs planar slices of the breast based on two-dimensional angular projections. Early studies and clinical trials show that DBT is an improvement over full field digital mammography (FFDM) because it provides the radiologist with better image quality and more information. OBJECTIVE This paper presents a simulation system to model the performance of a slot-scanning FFDM and DBT system. METHODS A tissue-equivalent three dimensional (3D) breast phantom was constructed, validated for slot-scanning digital mammography and used in simulating digital breast tomosynthesis. The simulation system was validated by comparing images acquired with a slot-scanning mammography machine with simulated phantom images, using the edge-test method and image quality metrics modulation transfer function (MTF), noise power spectrum (NPS) and detective quantum efficiency (DQE). Different two-dimensional (2D) projections of the 3D phantom were simulated and the phantom was reconstructed using filtered backprojection. RESULTS Image quality metrics showed equivalence between simulated and real images. CONCLUSIONS The simulation tool is suitable for slot-scanning FFDM and DBT and may be used for the design and comparison of mammography systems.
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Affiliation(s)
- Mayuresh Kulkarni
- Division of Biomedical Engineering, University of Cape Town, Cape Town, South Africa
| | - Ronald Dendere
- Division of Biomedical Engineering, University of Cape Town, Cape Town, South Africa
| | - Fred Nicolls
- Department of Electrical Engineering, University of Cape Town, Cape Town, South Africa
| | - Tania S Douglas
- Division of Biomedical Engineering, University of Cape Town, Cape Town, South Africa
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Volotskova O, Sun C, Stafford JH, Koh AL, Ma X, Cheng Z, Cui B, Pratx G, Xing L. Efficient Radioisotope Energy Transfer by Gold Nanoclusters for Molecular Imaging. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2015; 11:4002-4008. [PMID: 25973916 DOI: 10.1002/smll.201500907] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/02/2015] [Indexed: 06/04/2023]
Abstract
Beta-emitting isotopes Fluorine-18 and Yttrium-90 are tested for their potential to stimulate gold nanoclusters conjugated with blood serum proteins (AuNCs). AuNCs excited by either medical radioisotope are found to be highly effective ionizing radiation energy transfer mediators, suitable for in vivo optical imaging. AuNCs synthesized with protein templates convert beta-decaying radioisotope energy into tissue-penetrating optical signals between 620 and 800 nm. Optical signals are not detected from AuNCs incubated with Technetium-99m, a pure gamma emitter that is used as a control. Optical emission from AuNCs is not proportional to Cerenkov radiation, indicating that the energy transfer between the radionuclide and AuNC is only partially mediated by Cerenkov photons. A direct Coulombic interaction is proposed as a novel and significant mechanism of energy transfer between decaying radionuclides and AuNCs.
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Affiliation(s)
- Olga Volotskova
- Department of Radiation Oncology, Stanford University, Stanford, CA, 94305, USA
| | - Conroy Sun
- Department of Radiation Oncology, Stanford University, Stanford, CA, 94305, USA
| | - Jason H Stafford
- Department of Radiation Oncology, Stanford University, Stanford, CA, 94305, USA
| | - Ai Leen Koh
- Stanford Nanocharacterization Laboratory, Stanford University, Stanford, CA, 94305, USA
| | - Xiaowei Ma
- Department of Radiology, Stanford University, Stanford, CA, 94305, USA
| | - Zhen Cheng
- Department of Radiology, Stanford University, Stanford, CA, 94305, USA
| | - Bianxiao Cui
- Department of Chemistry, Stanford University, Stanford, CA, 94305, USA
| | - Guillem Pratx
- Department of Radiation Oncology, Stanford University, Stanford, CA, 94305, USA
| | - Lei Xing
- Department of Radiation Oncology, Stanford University, Stanford, CA, 94305, USA
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Wang JT, Chang LM, Song X, Zhao LX, Li JT, Zhang WG, Ji YB, Cai LN, Di W, Yang XY. Comparison of primary breast cancer size by mammography and sonography. Asian Pac J Cancer Prev 2015; 15:9759-61. [PMID: 25520100 DOI: 10.7314/apjcp.2014.15.22.9759] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
PURPOSE To compare tumor size by mammography and sonography and align with pathological results in primary breast cancer cases. MATERIALS AND METHODS We retrospectively reviewed 95 primary breast cancer patients who underwent mammography and sonography from January 2011 to June 2012. The largest tumor diameter was chosen as sizing reference for each imaging modality. The measurements of mammography and sonography were considered concordant if they were within the measurement of pathological results±0.5 cm. Pearson's correlation coefficient was calculated for imaging results. RESULTS The range of the maximum diameter was 0.6 cm-10.5 cm and mean value was 3.81±2.04 cm by pathological results, 0.7 cm-12.4 cm and 3.99±2.19 cm by mammography, and 0.9 cm-11.0 cm and 3.63±2.01 cm by sonography, respectively. Sonography (R: 0.754), underestimated tumor size, but had a better correlation with pathological tumor size compared to mammography (R: 0.676), which overestimated tumor size. CONCLUSIONS Sonography is superior to mammography in assessment of primary breast cancer.
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Affiliation(s)
- Jian-Tao Wang
- X-Ray Department, Tangshan Gongren Hospital, Tangshan, Hebei, China E-mail :
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Woolf DK, Padhani AR, Makris A. Magnetic Resonance Imaging, Digital Mammography, and Sonography: Tumor Characteristics and Tumor Biology in Primary Setting. J Natl Cancer Inst Monogr 2015; 2015:15-20. [PMID: 26063879 DOI: 10.1093/jncimonographs/lgv013] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
The use of imaging in the arena of primary treatment for breast cancer is gaining importance as a technique for assessing response to chemotherapy as well as assessing the underlying tumor biology. Both mammography and ultrasound have traditionally been used, in addition to clinical evaluation, to evaluate response to treatment although they have shed little light on the underlying biological processes. Functional magnetic resonance imaging techniques have the ability to assess response to treatments in addition to providing valuable information on changes in tumor perfusion, vascular permeability, oxygenation, cellularity, proliferation, and metabolism both at baseline and after treatment. This noninvasive method of evaluating cellular function is of importance both as endpoints for clinical trials and to our understanding of the biological mechanisms of cancer.
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Affiliation(s)
- David K Woolf
- Academic Oncology Unit (DKW, AM) and Paul Strickland Scanner Centre (ARP), Mount Vernon Cancer Centre, Northwood, UK
| | - Anwar R Padhani
- Academic Oncology Unit (DKW, AM) and Paul Strickland Scanner Centre (ARP), Mount Vernon Cancer Centre, Northwood, UK
| | - Andreas Makris
- Academic Oncology Unit (DKW, AM) and Paul Strickland Scanner Centre (ARP), Mount Vernon Cancer Centre, Northwood, UK.
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Jian W, Wu M, Shi H, Wang L, Zhang L, Luo S. Signs analysis and clinical assessment: phase-contrast computed tomography of human breast tumours. PLoS One 2015; 10:e0124143. [PMID: 25844722 PMCID: PMC4386813 DOI: 10.1371/journal.pone.0124143] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2014] [Accepted: 03/12/2015] [Indexed: 12/12/2022] Open
Abstract
Purpose To analyse the diagnostic signs present in slices of human breast tumour specimens using synchrotron radiation phase-contrast imaging computed tomography (PCI-CT) for the first time and assess the feasibility of this technique for clinical applications. Materials and Methods The ethics committee of our university and relevant clinical hospital approved this prospective study, and written informed consent was obtained from all patients. PCI-CT of human breast tumour specimens with synchrotron radiation was performed at the Shanghai Synchrotron Radiation Facility (SSRF). A total of 14 specimens of early-stage carcinomas and 8 specimens of adenomas were enrolled. Based on raw data reconstruction, the diagnostic signs present in the slices were analysed and correlated with histopathology. We proposed a criterion for clinical diagnosis according to the evaluated signs and the Breast Imaging Reporting and Data System (BI-RADS) for reference. The criterion was then assessed by clinicians in a double-blind method. Finally, descriptive statistics were evaluated, depending on the assessment results. Results The 14 carcinoma specimens and 8 adenoma specimens were diagnosed as malignant and benign tumours, respectively. The total coincidence rate was 100%. Conclusion Our study results demonstrate that the X-ray diagnostic signs observed in the specimen slices and the criterion used for clinical diagnosis were accurate and reliable. The criterion based on signs analysis can be used to differentiate early-stage benign or malignant tumours. As a promising imaging method, PCI-CT can serve as a possible and feasible supplement to BI-RADS in the future.
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Affiliation(s)
- Wushuai Jian
- School of Biomedical Engineering, Capital Medical University, Beijing, China
| | - Mingshu Wu
- School of Biomedical Engineering, Capital Medical University, Beijing, China
| | - Hongli Shi
- School of Biomedical Engineering, Capital Medical University, Beijing, China
| | - Liting Wang
- School of Biomedical Engineering, Capital Medical University, Beijing, China
| | - Lu Zhang
- School of Biomedical Engineering, Capital Medical University, Beijing, China
| | - Shuqian Luo
- School of Biomedical Engineering, Capital Medical University, Beijing, China
- * E-mail:
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Computer-aided assessment of tumor grade for breast cancer in ultrasound images. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE 2015; 2015:914091. [PMID: 25810750 PMCID: PMC4355599 DOI: 10.1155/2015/914091] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/14/2014] [Accepted: 02/10/2015] [Indexed: 12/11/2022]
Abstract
This study involved developing a computer-aided diagnosis (CAD) system for discriminating the grades of breast cancer tumors in ultrasound (US) images. Histological tumor grades of breast cancer lesions are standard prognostic indicators. Tumor grade information enables physicians to determine appropriate treatments for their patients. US imaging is a noninvasive approach to breast cancer examination. In this study, 148 3-dimensional US images of malignant breast tumors were obtained. Textural, morphological, ellipsoid fitting, and posterior acoustic features were quantified to characterize the tumor masses. A support vector machine was developed to classify breast tumor grades as either low or high. The proposed CAD system achieved an accuracy of 85.14% (126/148), a sensitivity of 79.31% (23/29), a specificity of 86.55% (103/119), and an AZ of 0.7940.
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Ghani MU, Yan A, Wong MD, Li Y, Ren L, Wu X, Liu H. Low dose high energy x-ray in-line phase sensitive imaging prototype: Investigation of optimal geometric conditions and design parameters. JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY 2015; 23:667-82. [PMID: 26756405 PMCID: PMC4711281 DOI: 10.3233/xst-150519] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
The objective of this study was to investigate the optimization of a high energy in-line phase sensitive x-ray imaging prototype under different geometric and operating conditions for mammography application. A phase retrieval algorithm based on phase attenuation duality (PAD) was applied to the phase contrast images acquired by the prototype. Imaging performance was investigated at four magnification values of 1.67, 2, 2.5 and 3 using an acrylic edge, an American College of Radiology (ACR) mammography phantom and contrast detail (CD) phantom with tube potentials of 100, 120 and 140 kVp. The ACR and CD images were acquired at the same mean glandular dose (MGD) of 1.29 mGy with a computed radiography (CR) detector of 43.75 μm pixel pitch at a fixed source to image distance (SID) of 170 cm. The x-ray tube focal spot size was kept constant as 7 μm while a 2.5 mm thick aluminum (Al) filter was used for beam hardening. The performance of phase contrast and phase retrieved images were compared with computer simulations based on the relative phase contrast factor (RPF) at high x-ray energies. The imaging results showed that the x-ray tube operated at 100 kVp under the magnification of 2.5 exhibits superior imaging performance which is in accordance to the computer simulations. As compared to the phase contrast images, the phase retrieved images of the ACR and CD phantoms demonstrated improved imaging contrast and target discrimination. We compared the CD phantom images acquired in conventional contact mode with and without the anti-scatter grid using the same prototype at 1.295 mGy and 2.59 mGy using 40 kVp, a 25 μm rhodium (Rh) filter. At the same radiation dose, the phase sensitive images provided improved detection capabilities for both the large and small discs, while compared to the double dose image acquired in conventional mode, the observer study also indicated that the phase sensitive images provided improved detection capabilities for the large discs. This study therefore validates the potential of using high energy phase contrast x-ray imaging to improve lesion detection and reduce radiation dose for clinical applications such as mammography.
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Affiliation(s)
- Muhammad. U. Ghani
- Center for Bioengineering and School of Electrical and Computer Engineering, University of Oklahoma, Norman OK 73019, USA
| | - Aimin Yan
- Department of Radiology, University of Alabama at Birmingham, Birmingham AL 35249, USA
| | - Molly. D. Wong
- Center for Bioengineering and School of Electrical and Computer Engineering, University of Oklahoma, Norman OK 73019, USA
| | - Yuhua Li
- Center for Bioengineering and School of Electrical and Computer Engineering, University of Oklahoma, Norman OK 73019, USA
| | - Liqiang Ren
- Center for Bioengineering and School of Electrical and Computer Engineering, University of Oklahoma, Norman OK 73019, USA
| | - Xizeng Wu
- Department of Radiology, University of Alabama at Birmingham, Birmingham AL 35249, USA
| | - Hong Liu
- Center for Bioengineering and School of Electrical and Computer Engineering, University of Oklahoma, Norman OK 73019, USA
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Morris N. When health means suffering: mammograms, pain and compassionate care. Eur J Cancer Care (Engl) 2014; 24:483-92. [PMID: 25521596 DOI: 10.1111/ecc.12272] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/04/2014] [Indexed: 11/27/2022]
Abstract
The X-ray mammogram remains the cornerstone of most public health programmes aimed at the early diagnosis of breast cancer. Its virtues of safety, reliability and cheapness maintain its established position, and Western social and cultural traditions of ambivalence to pain push any questions concerning the painfulness of the procedure into the background. As part of a larger UK/USA-based empirical study, we undertook a qualitative analysis of women's accounts of pain experienced in mammograms and their reaction to it, comparing their accounts with professional views and advice to patients as reflected in interviews, patient leaflets and practice guidelines. We found considerable variability of experience and reaction to pain among patients, and indications of similar variability in professionals' views and practice, contrasting with a uniformly reassuring message in formal institutional advice. We suggest that in practice professional work-arounds and patients' felt obligation to tolerate pain bridge this gap, but that action to tackle the problems of dropout and the emotional and operational costs of the current system is nonetheless needed. The need is for concerned groups to combine to establish a serious and sustained programme of amelioration and innovative technological development to assure more compassionate patient care and operational efficiency.
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Affiliation(s)
- N Morris
- Department of Science and Technology Studies, University College London, London, UK
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Queralto N, Berliner AN, Goldsmith B, Martino R, Rhodes P, Lim SH. Detecting cancer by breath volatile organic compound analysis: a review of array-based sensors. J Breath Res 2014; 8:027112. [DOI: 10.1088/1752-7155/8/2/027112] [Citation(s) in RCA: 82] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
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MRI to X-ray mammography intensity-based registration with simultaneous optimisation of pose and biomechanical transformation parameters. Med Image Anal 2014; 18:674-83. [DOI: 10.1016/j.media.2014.03.003] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2013] [Revised: 03/10/2014] [Accepted: 03/14/2014] [Indexed: 11/23/2022]
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Bian J, Yang K, Boone JM, Han X, Sidky EY, Pan X. Investigation of iterative image reconstruction in low-dose breast CT. Phys Med Biol 2014; 59:2659-85. [PMID: 24786683 DOI: 10.1088/0031-9155/59/11/2659] [Citation(s) in RCA: 45] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
There is interest in developing computed tomography (CT) dedicated to breast-cancer imaging. Because breast tissues are radiation-sensitive, the total radiation exposure in a breast-CT scan is kept low, often comparable to a typical two-view mammography exam, thus resulting in a challenging low-dose-data-reconstruction problem. In recent years, evidence has been found that suggests that iterative reconstruction may yield images of improved quality from low-dose data. In this work, based upon the constrained image total-variation minimization program and its numerical solver, i.e., the adaptive steepest descent-projection onto the convex set (ASD-POCS), we investigate and evaluate iterative image reconstructions from low-dose breast-CT data of patients, with a focus on identifying and determining key reconstruction parameters, devising surrogate utility metrics for characterizing reconstruction quality, and tailoring the program and ASD-POCS to the specific reconstruction task under consideration. The ASD-POCS reconstructions appear to outperform the corresponding clinical FDK reconstructions, in terms of subjective visualization and surrogate utility metrics.
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Affiliation(s)
- Junguo Bian
- Department of Radiology, Harvard Medical School and Massachusetts General Hospital, Boston, MA 02114, USA
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Wong MD, Yan A, Ghani M, Li Y, Fajardo L, Wu X, Liu H. Dose and detectability improvements with high energy phase sensitive x-ray imaging in comparison to low energy conventional imaging. Phys Med Biol 2014; 59:N37-48. [PMID: 24732108 DOI: 10.1088/0031-9155/59/9/n37] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
The objective of this study was to demonstrate the potential benefits of using high energy x-rays for phase sensitive breast imaging through a comparison with conventional mammography imaging. We compared images of a contrast-detail phantom acquired on a prototype phase sensitive x-ray imaging system with images acquired on a commercial flat panel digital mammography unit. The phase contrast images were acquired using a micro-focus x-ray source with a 50 µm focal spot at 120 kVp and 4.5 mAs, with a magnification factor of 2.46 and a 50 µm pixel pitch. A phase attenuation duality-based phase retrieval algorithm that requires only a single phase contrast image was applied. Conventional digital mammography images were acquired at 27 kVp, 131 mAs and 28 kVp, 54 mAs. For the same radiation dose, both the observer study and signal-to-noise ratio (SNR)/figure of merit comparisons indicated a large improvement by the phase retrieved image as compared to the clinical system for the larger disc sizes, but the improvement was not enough to detect the smallest discs. Compared to the double dose image acquired with the clinical system, the observer study also indicated that the phase retrieved image provided improved detection capabilities for all disc sizes except the smallest discs. Thus the SNR improvement provided by phase contrast imaging is not yet enough to offset the noise reduction provided by the clinical system at the doubled dose level. However, the potential demonstrated by this study for high energy phase sensitive x-ray imaging to improve lesion detection and reduce radiation dose in mammography warrants further investigation of this technique.
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Affiliation(s)
- Molly Donovan Wong
- Center for Bioengineering and School of Electrical and Computer Engineering, University of Oklahoma, 110 West Boyd Street, Devon Energy Hall 150, Norman, OK 73019, USA
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37
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Wong MD, Wu X, Liu H. Image quality and dose efficiency of high energy phase sensitive x-ray imaging: phantom studies. JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY 2014; 22:321-34. [PMID: 24865208 PMCID: PMC4059393 DOI: 10.3233/xst-140428] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
The goal of this preliminary study was to perform an image quality comparison of high energy phase sensitive imaging with low energy conventional imaging at similar radiation doses. The comparison was performed with the following phantoms: American College of Radiology (ACR), contrast-detail (CD), acrylic edge and tissue-equivalent. Visual comparison of the phantom images indicated comparable or improved image quality for all phantoms. Quantitative comparisons were performed through ACR and CD observer studies, both of which indicated higher image quality in the high energy phase sensitive images. The results of this study demonstrate the ability of high energy phase sensitive imaging to overcome existing challenges with the clinical implementation of phase contrast imaging and improve the image quality for a similar radiation dose as compared to conventional imaging near typical mammography energies. In addition, the results illustrate the capability of phase sensitive imaging to sustain the image quality improvement at high x-ray energies and for breast simulating phantoms, both of which indicate the potential to benefit fields such as mammography. Future studies will continue to investigate the potential for dose reduction and image quality improvement provided by high energy phase sensitive imaging.
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Affiliation(s)
- Molly Donovan Wong
- Center for Bioengineering and School of Electrical and Computer Engineering, University of Oklahoma, Norman, OK, USA
| | - Xizeng Wu
- Department of Radiology, University of Alabama at Birmingham, Birmingham, AK, USA
| | - Hong Liu
- Center for Bioengineering and School of Electrical and Computer Engineering, University of Oklahoma, Norman, OK, USA
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Porter E, Santorelli A, Popovic M. TIME-DOMAIN MICROWAVE RADAR APPLIED TO BREAST IMAGING: MEASUREMENT RELIABILITY IN A CLINICAL SETTING. ACTA ACUST UNITED AC 2014. [DOI: 10.2528/pier14080503] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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Silkwood JD, Matthews KL, Shikhaliev PM. Photon counting spectral breast CT: effect of adaptive filtration on CT numbers, noise, and contrast to noise ratio. Med Phys 2013; 40:051905. [PMID: 23635275 DOI: 10.1118/1.4800504] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
PURPOSE Photon counting spectral (PCS) computed tomography (CT) shows promise for breast imaging. An issue with current photon-counting detectors is low count rate capabilities, artifacts resulting from nonuniform count rate across the field of view, and suboptimal spectral information. These issues are addressed in part by using tissue-equivalent adaptive filtration of the x-ray beam. The purpose of the study was to investigate the effect of adaptive filtration on different aspects of PCS breast CT. METHODS The theoretical formulation for the filter shape was derived for different filter materials and evaluated by simulation and an experimental prototype of the filter was fabricated from a tissue-like material (acrylic). The PCS CT images of a glandular breast phantom with adipose and iodine contrast elements were simulated at 40, 60, 90, and 120 kVp tube voltages, with and without adaptive filter. The CT numbers, CT noise, and contrast-to-noise ratio (CNR) were compared for spectral CT images acquired with and without adaptive filters. Similar comparison was made for material-decomposed PCS CT images. RESULTS The adaptive filter improved the uniformity of CT numbers, CT noise, and CNR in both ordinary and material decomposed PCS CT images. At the same tube output the average CT noise with adaptive filter, although uniform, was higher than the average noise without adaptive filter due to x-ray absorption by the filter. Increasing tube output, so that average skin exposure with the adaptive filter was same as without filter, made the noise with adaptive filter comparable to or lower than that without adaptive filter. Similar effects were observed when energy weighting was applied, and when material decompositions were performed using energy selective CT data. CONCLUSIONS An adaptive filter decreases count rate requirements to the photon counting detectors which enables PCS breast CT based on commercially available detector technologies. Adaptive filter also improves image quality in PCS breast CT by decreasing beam hardening artifacts and by eliminating spatial nonuniformities of CT numbers, noise, and CNR.
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Affiliation(s)
- Justin D Silkwood
- Imaging Physics Laboratory, Department of Physics and Astronomy, Louisiana State University, Baton Rouge, Louisiana 70817, USA
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Muralidhar GS, Markey MK, Bovik AC, Haygood TM, Stephens TW, Geiser WR, Garg N, Adrada BE, Dogan BE, Carkaci S, Khisty R, Whitman GJ. Stereoscopic interpretation of low-dose breast tomosynthesis projection images. J Digit Imaging 2013; 27:248-54. [PMID: 24190140 DOI: 10.1007/s10278-013-9648-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
The purpose of this study was to evaluate stereoscopic perception of low-dose breast tomosynthesis projection images. In this Institutional Review Board exempt study, craniocaudal breast tomosynthesis cases (N = 47), consisting of 23 biopsy-proven malignant mass cases and 24 normal cases, were retrospectively reviewed. A stereoscopic pair comprised of two projection images that were ±4° apart from the zero angle projection was displayed on a Planar PL2010M stereoscopic display (Planar Systems, Inc., Beaverton, OR, USA). An experienced breast imager verified the truth for each case stereoscopically. A two-phase blinded observer study was conducted. In the first phase, two experienced breast imagers rated their ability to perceive 3D information using a scale of 1-3 and described the most suspicious lesion using the BI-RADS® descriptors. In the second phase, four experienced breast imagers were asked to make a binary decision on whether they saw a mass for which they would initiate a diagnostic workup or not and also report the location of the mass and provide a confidence score in the range of 0-100. The sensitivity and the specificity of the lesion detection task were evaluated. The results from our study suggest that radiologists who can perceive stereo can reliably interpret breast tomosynthesis projection images using stereoscopic viewing.
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Affiliation(s)
- Gautam S Muralidhar
- Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, 78712, USA
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Antonios D, Dimitrios VA, Theoharis T. A new user-friendly visual environment for breast MRI data analysis. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2013; 110:411-423. [PMID: 23414601 DOI: 10.1016/j.cmpb.2012.12.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/09/2012] [Revised: 12/29/2012] [Accepted: 12/30/2012] [Indexed: 06/01/2023]
Abstract
In this paper a novel, user friendly visual environment for Breast MRI Data Analysis is presented (BreDAn). Given planar MRI images before and after IV contrast medium injection, BreDAn generates kinematic graphs, color maps of signal increase and decrease and finally detects high risk breast areas. The advantage of BreDAn, which has been validated and tested successfully, is the automation of the radiodiagnostic process in an accurate and reliable manner. It can potentially facilitate radiologists' workload.
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Affiliation(s)
- Danelakis Antonios
- National and Kapodistrian University of Athens, Department of Informatics and Telecommunications, University Campus, Ilissia, 15784 Athens, Greece.
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Grandl S, Willner M, Herzen J, Mayr D, Auweter SD, Hipp A, Pfeiffer F, Reiser M, Hellerhoff K. Evaluation of phase-contrast CT of breast tissue at conventional X-ray sources - presentation of selected findings. Z Med Phys 2013; 23:212-21. [PMID: 23489931 DOI: 10.1016/j.zemedi.2013.02.005] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2012] [Revised: 02/14/2013] [Accepted: 02/18/2013] [Indexed: 12/20/2022]
Abstract
BACKGROUND Grating-based phase contrast computed tomography (PC-CT) at synchrotron radiation sources has been shown to provide improved visualization of breast tumors. However, broad clinical application of phase-contrast imaging will likely depend on transferring the technology to standard polychromatic X-ray sources. On the basis of selected findings, we demonstrate the potential of grating-based PC-CT using a conventional X-ray source. MATERIALS AND METHODS Grating-based PC-CT of two ex-vivo formalin fixed breast specimens containing lobular carcinoma was conducted using a Talbot Lau interferometer run at a polychromatic X-ray source of 40kVp. Phase-contrast and absorption-based 3D-datasets of both specimens were simultaneously recorded. Radiological images were manually matched with corresponding histological sections. The visualization of selected histological findings in phase contrast was compared to absorption contrast. RESULTS Grating-based PC-CT was able to depict the 3-dimensional structure of dilated ducts and high phase contrast was found as a correlate to thickened fibrous ductal walls. Differences in contrast between fibrous and less fibrous breast tissue were observed in phase- but not in absorption-contrast images. Furthermore, regions of low phase contrast correlated with the extension of compact tumor components. CONCLUSIONS On the basis of selected findings, we show that grating-based PC-CT at a polychromatic X-ray source provides complementary information to conventional absorption contrast; albeit at lower spatial resolution than synchrotron-based imaging.
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Affiliation(s)
- Susanne Grandl
- Department of Clinical Radiology, Ludwig-Maximilians-Universität München, Marchioninistrasse 15, 81377 Munich, Germany.
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Ji Z, Lou C, Yang S, Xing D. Three-dimensional thermoacoustic imaging for early breast cancer detection. Med Phys 2013; 39:6738-44. [PMID: 23127067 DOI: 10.1118/1.4757923] [Citation(s) in RCA: 64] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
PURPOSE Microwave-induced thermoacoustic tomography (TAT) is a noninvasive modality based on the differences in microwave absorption of various biological tissues. In this paper, the feasibility of the early breast tumor detection by TAT system has been discussed and validated experimentally. METHODS A fast TAT system, which based on three 128-elements transducers, a 384-64ch switch and a parallel data acquisition system (DAS), was developed to reconstruct the three-dimensional (3D) image of a breast model with similar microwave absorption coefficient to breast tissue. A novel method to explore the ability of TAT system to distinguish absorption coefficient was introduced and the minimum absorption coefficient difference that can be distinguished clearly by our TAT system is 12 m(-1). RESULTS The potential applications of the TAT system were clearly demonstrated by successfully mapping breast model with mimicked tumors and microcalcification. An imaging experiment of human breast tumor embedding in the breast model was performed and the tumor was visualized by the 3D thermoacoustic volume. CONCLUSIONS The thermoacoustic images match well with the samples and achieve penetration depth of 6 cm. The experimental results indicate that TAT has a great potential to be used for detecting early-stage breast cancers with high contrast and high resolution.
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Affiliation(s)
- Zhong Ji
- Institute of Laser Life Science, South China Normal University, Guangzhou, China
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44
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Needle insertion force exerted on various breast tissues: Experimental study and finite element analysis. Biomed Eng Lett 2012. [DOI: 10.1007/s13534-012-0069-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022] Open
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45
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Liaparinos P, Bliznakova K. Monte Carlo performance on the x-ray converter thickness in digital mammography using software breast models. Med Phys 2012; 39:6638-51. [DOI: 10.1118/1.4757919] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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46
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Whelan SA, He J, Lu M, Souda P, Saxton RE, Faull KF, Whitelegge JP, Chang HR. Mass spectrometry (LC-MS/MS) identified proteomic biosignatures of breast cancer in proximal fluid. J Proteome Res 2012; 11:5034-45. [PMID: 22934887 PMCID: PMC3521600 DOI: 10.1021/pr300606e] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
We have begun an early phase of biomarker discovery in three clinically important types of breast cancer using a panel of human cell lines: HER2 positive, hormone receptor positive and HER2 negative, and triple negative (HER2-, ER-, PR-). We identified and characterized the most abundant secreted, sloughed, or leaked proteins released into serum free media from these breast cancer cell lines using a combination of protein fractionation methods before LC-MS/MS mass spectrometry analysis. A total of 249 proteins were detected in the proximal fluid of 7 breast cancer cell lines. The expression of a selected group of high abundance and/or breast cancer-specific potential biomarkers including thromobospondin 1, galectin-3 binding protein, cathepsin D, vimentin, zinc-α2-glycoprotein, CD44, and EGFR from the breast cancer cell lines and in their culture media were further validated by Western blot analysis. Interestingly, mass spectrometry identified a cathepsin D protein single-nucleotide polymorphism (SNP) by alanine to valine replacement from the MCF-7 breast cancer cell line. Comparison of each cell line media proteome displayed unique and consistent biosignatures regardless of the individual group classifications, demonstrating the potential for stratification of breast cancer. On the basis of the cell line media proteome, predictive Tree software was able to categorize each cell line as HER2 positive, HER2 negative, and hormone receptor positive and triple negative based on only two proteins, muscle fructose 1,6-bisphosphate aldolase and keratin 19. In addition, the predictive Tree software clearly identified MCF-7 cell line overexpresing the HER2 receptor with the SNP cathepsin D biomarker.
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Affiliation(s)
- Stephen A. Whelan
- Department of Biochemistry, School of Medicine, Boston University, Boston Massachusetts
- Gonda/UCLA Breast Cancer Research Laboratory; David Geffen School of Medicine, Los Angeles, California
- Revlon/UCLA Breast Center, Department of Surgery; David Geffen School of Medicine, Los Angeles, California
| | - Jianbo He
- Gonda/UCLA Breast Cancer Research Laboratory; David Geffen School of Medicine, Los Angeles, California
- Revlon/UCLA Breast Center, Department of Surgery; David Geffen School of Medicine, Los Angeles, California
| | - Ming Lu
- Gonda/UCLA Breast Cancer Research Laboratory; David Geffen School of Medicine, Los Angeles, California
- Revlon/UCLA Breast Center, Department of Surgery; David Geffen School of Medicine, Los Angeles, California
| | - Puneet Souda
- The Pasarow Mass Spectrometry Laboratory, Department of Psychiatry & Biobehavioral Sciences and the Neuropsychiatric Semel Institute for Neuroscience and Human Behavior; David Geffen School of Medicine, Los Angeles, California
| | - Romaine E. Saxton
- Division of Oncology, Department of Surgery; David Geffen School of Medicine, Los Angeles, California
| | - Kym F. Faull
- The Pasarow Mass Spectrometry Laboratory, Department of Psychiatry & Biobehavioral Sciences and the Neuropsychiatric Semel Institute for Neuroscience and Human Behavior; David Geffen School of Medicine, Los Angeles, California
| | - Julian P. Whitelegge
- The Pasarow Mass Spectrometry Laboratory, Department of Psychiatry & Biobehavioral Sciences and the Neuropsychiatric Semel Institute for Neuroscience and Human Behavior; David Geffen School of Medicine, Los Angeles, California
| | - Helena R. Chang
- Gonda/UCLA Breast Cancer Research Laboratory; David Geffen School of Medicine, Los Angeles, California
- Revlon/UCLA Breast Center, Department of Surgery; David Geffen School of Medicine, Los Angeles, California
- Division of Oncology, Department of Surgery; David Geffen School of Medicine, Los Angeles, California
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47
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Zhang D, Li X, Liu B. X-ray spectral measurements for tungsten-anode from 20 to 49 kVp on a digital breast tomosynthesis system. Med Phys 2012; 39:3493-500. [PMID: 22755729 DOI: 10.1118/1.4719958] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023] Open
Abstract
PURPOSE This paper presents new spectral measurements of a tungsten-target digital breast tomosynthesis (DBT) system, including spectra of 43-49 kVp. METHODS Raw x-ray spectra of 20-49 kVp were directly measured from the tube port of a Selenia Dimensions DBT system using a CdTe based spectrometer. Two configurations of collimation were employed: one with two tungsten pinholes of 25 μm and 200 μm diameters, and the other with a single pinhole of 25 μm diameter, for acquiring spectra from the focal spot and from the focal spot as well as its vicinity. Stripping correction was applied to the measured spectra to compensate distortions due to escape events. The measured spectra were compared with the existing mammographic spectra of the TASMIP model in terms of photon fluence per exposure, spectral components, and half-value layer (HVL). HVLs were calculated from the spectra with a numerical filtration of 0.7 mm aluminum and were compared against actual measurements on the DBT system using W/Al (target-filter) combination, without paddle in the beam. RESULTS The spectra from the double-pinhole configuration, in which the acceptance aperture pointed right at the focal spot, were harder than the single-pinhole spectra which include both primary and off-focus radiation. HVL calculated from the single-pinhole setup agreed with the measured HVL within 0.04 mm aluminum, while the HVL values from the double-pinhole setup were larger than the single-pinhole HVL by at most 0.1 mm aluminum. The spectra from single-pinhole setup agreed well with the TASMIP mammographic spectra, and are more relevant for clinical purpose. CONCLUSIONS The spectra data would be useful for future research on DBT system with tungsten targets.
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Affiliation(s)
- Da Zhang
- Department of Radiology, Division of Diagnostic Imaging Physics, Massachusetts General Hospital, Boston, MA 02114, USA
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Quai E, Longo R, Zanconati F, Jaconelli G, Tonutti M, Abrami A, Arfelli F, Dreossi D, Tromba G, Cova MA. First application of computed radiology to mammography with synchrotron radiation. LA RADIOLOGIA MEDICA 2012; 118:89-100. [DOI: 10.1007/s11547-012-0847-1] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/26/2011] [Accepted: 08/23/2011] [Indexed: 11/30/2022]
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49
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Kim HK, Lim CH, Tanguay J, Yun S, Cunningham IA. Spectral analysis of fundamental signal and noise performances in photoconductors for mammography. Med Phys 2012; 39:2478-90. [DOI: 10.1118/1.3702455] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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50
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Abstract
This review concerns the effects on vision and the eye of medications prescribed at three phases of treatment for women with early-stage breast cancer (BC): (1) adjuvant cytotoxic chemotherapy, (2) adjuvant endocrine therapy, and (3) symptomatic relief. The most common side effects of cytotoxic chemotherapy are epiphora and ocular surface irritation, which can be caused by any of several different regimens. Most notably, the taxane docetaxel can lead to epiphora by inducing canalicular stenosis. The selective-estrogen-receptor-modulator (SERM) tamoxifen, long the gold-standard adjuvant-endocrine-therapy for women with hormone-receptor-positive BC, increases the risk of posterior subcapsular cataract. Tamoxifen also affects the optic nerve head more often than previously thought, apparently by causing subclinical swelling within the first 2 years of use for women older than ∼50 years. Tamoxifen retinopathy is rare, but it can cause foveal cystoid spaces that are revealed with spectral-domain optical coherence tomography (OCT) and that may increase the risk for macular holes. Tamoxifen often alters the perceived color of flashed lights detected via short-wavelength-sensitive (SWS) cone response isolated psychophysically; these altered perceptions may reflect a neural-response sluggishness that becomes evident at ∼2 years of use. The aromatase inhibitor (AI) anastrozole affects perception similarly, but in an age-dependent manner suggesting that the change of estrogen activity towards lower levels is more important than the low estrogen activity itself. Based on analysis of OCT retinal thickness data, it is likely that anastrozole increases the tractional force between the vitreous and retina. Consequently, AI users, myopic AI users particularly, might be at increased risk for traction-related vision loss. Because bisphosphonates are sometimes prescribed to redress AI-induced bone loss, clinicians should be aware of their potential to cause scleritis and uveitis occasionally. We conclude by suggesting some avenues for future research into the visual and ocular effects of AIs, particularly as relates to assessment of cognitive function.
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Affiliation(s)
- Alvin Eisner
- Women's Health Research Unit, Department of Obstetrics & Gynecology, Oregon Health & Science University, Portland, Oregon 97239, USA.
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