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Xu M, Zeng S, Li F, Liu G. Utilizing grayscale ultrasound-based radiomics nomogram for preoperative identification of triple negative breast cancer. LA RADIOLOGIA MEDICA 2024; 129:29-37. [PMID: 37919521 DOI: 10.1007/s11547-023-01739-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Accepted: 10/05/2023] [Indexed: 11/04/2023]
Abstract
PURPOSE This study aimed to develop a radiomics nomogram based on grayscale ultrasound (US) to distinguish triple-negative breast cancer (TNBC) from non-triple-negative breast cancer (NTNBC) prior to surgery. METHODS A retrospective analysis of 454 breast carcinoma patients confirmed by pathology was conducted, with 317 patients in the training dataset (59 with TNBC) and 137 patients in the validation dataset (27 with TNBC). Clinical information, conventional US features, and radiomics features were collected, and the Radscore model was constructed after feature selection. Independent risk factors were identified using univariate and multivariate logistic regression analysis. The nomogram model was assessed using the receiver operating characteristic (ROC) curve analysis, calibration curve, decision curve analysis (DCA), net reclassification improvement (NRI) and integrated discrimination improvement (IDI). RESULTS Tumor shape, margin, and calcification were independent risk factors in the clinical prediction model. Additionally, 16 radiomics features were selected to construct the Radscore model out of a total of 474 extracted features. The radiomics nomogram model, which incorporated tumor shape, margin, calcification, and Radscore, achieved an AUC value of 0.837 in the training dataset and 0.813 in the validation dataset, outperforming both the Radscore and clinical models in terms of predictive performance. The significant improvement of NRI and IDI indicated that the Radscore may be useful biomarkers for TNBC. CONCLUSION The US-based radiomics nomogram showed satisfactory preoperative prediction of TNBC.
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Affiliation(s)
- Maolin Xu
- Department of Radiology, China-Japan Union Hospital of Jilin University, Xiantai Street, Changchun, 130033, China
| | - Shue Zeng
- Department of Ultrasound, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, 116 Zhuodaoquan South Road, Wuhan, 430079, China
| | - Fang Li
- Department of Ultrasound, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, 116 Zhuodaoquan South Road, Wuhan, 430079, China.
| | - Guifeng Liu
- Department of Radiology, China-Japan Union Hospital of Jilin University, Xiantai Street, Changchun, 130033, China.
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Calcification, Posterior Acoustic, and Blood Flow: Ultrasonic Characteristics of Triple-Negative Breast Cancer. JOURNAL OF HEALTHCARE ENGINEERING 2022; 2022:9336185. [PMID: 36199374 PMCID: PMC9529478 DOI: 10.1155/2022/9336185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Revised: 07/07/2022] [Accepted: 08/27/2022] [Indexed: 11/18/2022]
Abstract
Previous studies suggest that triple-negative breast cancer (TNBC) may have unique imaging characteristics, however, studies focused on the imaging characteristics of TNBC are still limited. The aim of the present study is to analyze the ultrasonic characteristics of TNBC and to provide more reliable information on imaging diagnosis of TNBC. This retrospective study was performed including 162 TNBC patients with 184 TNBC lesions. 174 non-TNBC cases with 196 lesions were used as the control group. The median size of TNBC lesions and non-TNBC lesions were 23 mm × 16 mm and 21 mm × 15 mm, respectively. The shape of most breast cancer lesions was irregular. However, 15.30% (28/183) TNBC lesions and 16.84% (33/196) non-TNBC lesions were oval-shaped. Most breast cancer lesions (79.78% TNBC & 85.71% non-TNBC) were ill-defined. In comparison to non-TNBC, the distinctive ultrasonic characteristics of TNBC were summarized as three features: calcifications, posterior acoustic, and blood flow. Microcalcifications was less common in non-TNBC. The remarkable posterior acoustic characteristics on TNBC were no posterior acoustic features (136, 73.91%). Avascular pattern (21.74%) was also more common in TNBC. The other feature of TNBC was markedly hypoechoic lesions (23.91%). The above-mentioned differences between TNBC and non-TNBC were significant. 93.48% TBNC and 94.39% non–TNBC lesions were in BI-RADS-US category of 4A-5. The results indicate that TNBC has some distinctive ultrasound characteristics. Ultrasound is a useful adjunct in early detection of breast cancer. A combination of ultrasound with mammography is excellent for detecting breast cancer.
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Chen Q, Xia J, Zhang J. Identify the triple-negative and non-triple-negative breast cancer by using texture features of medicale ultrasonic image: A STROBE-compliant study. Medicine (Baltimore) 2021; 100:e25878. [PMID: 34087829 PMCID: PMC8183753 DOI: 10.1097/md.0000000000025878] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/15/2020] [Accepted: 04/17/2021] [Indexed: 01/04/2023] Open
Abstract
The study aimed to explore the value of ultrasound (US) texture analysis in the differential diagnosis of triple-negative breast cancer (TNBC) and non-TNBC.Retrospective analysis was done on 93 patients with breast cancer (35 patients with TNBC and 38 patients with non-TNBC) who were admitted to Taizhou people's hospital from July 2015 to June 2019. All lesions were pathologically proven at surgery. US images of all patients were collected. Texture analysis of US images was performed using MaZda software package. The differences between textural features in TNBC and non-TNBC were assessed. Receiver operating characteristic curve analysis was used to compare the diagnostic performance of textural parameters showing significant difference.Five optimal texture feature parameters were extracted from gray level run-length matrix, including gray level non-uniformity (GLNU) in horizontal direction, vertical gray level non-uniformity, GLNU in the 45 degree direction, run length non-uniformity in 135 degree direction, GLNU in the 135 degree direction. All these texture parameters were statistically higher in TNBC than in non-TNBC (P <.05). Receiver operating characteristic curve analysis indicated that at a threshold of 268.9068, GLNU in horizontal direction exhibited best diagnostic performance for differentiating TNBC from non-TNBC. Logistic regression model established based on all these parameters showed a sensitivity of 69.3%, specificity of 91.4% and area under the curve of 0.834.US texture features were significantly different between TNBC and non-TNBC, US texture analysis can be used for preliminary differentiation of TNBC from non-TNBC.
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Affiliation(s)
| | | | - Jun Zhang
- Department of Nuclear Medicine, Taizhou people's Hospital affiliated to Medical College of Yangzhou University Taizhou, China
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Khalaf LMR, Herdan RA. Role of ultrasound in predicting the molecular subtypes of invasive breast ductal carcinoma. THE EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE 2020. [DOI: 10.1186/s43055-020-00240-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
Breast cancer is a heterogeneous disease that was explained recently by the presence of multiple molecular subtypes. These subtypes are the luminal A (LA), luminal B (LB), human epidermal growth factor receptor 2 (HER2), and triple-negative (TN). In this study, we aim to investigate whether ultrasound imaging features can play a role in predicting the molecular subtypes of invasive ductal breast cancer (IDC) and to assess whether the nodal metastasis is an independent predictor for each subtype.
Results
The predictive sonographic signs for each subtype are as follows: echogenic halo, posterior shadowing, angular or spiculated margin, and unifocal mass for LA subtype; irregular shape for LB subtype; unifocal mass, abrupt interface of the tumor boundary, and posterior enhancement or no posterior change for HER2 subtype; and circumscribed or lobulated margin, oval or rounded shape, posterior enhancement or no posterior change, abrupt interface of the tumor boundary, and parallel orientation of the mass for TN. By multivariate logistic regression, presence of nodal metastasis is the strongest independent predictor for HER2 subtype, and its absence is the strongest independent predictor for LA subtype.
Conclusions
Certain sonographic signs are predictors for each molecular subtype of IDC. Nodal metastasis is an independent predictor for HER2 subtype when present and for LA subtype when absent.
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Zhu K, Wang D, Li Z, Du G, Guo Q, Wu T, Li J. Heterogeneity of Triple-Negative Breast Cancer: Differences in Clinicopathologic and Ultrasound Features Between Premenopausal and Postmenopausal Patients. JOURNAL OF ULTRASOUND IN MEDICINE : OFFICIAL JOURNAL OF THE AMERICAN INSTITUTE OF ULTRASOUND IN MEDICINE 2020; 39:919-927. [PMID: 31737929 DOI: 10.1002/jum.15174] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/19/2019] [Revised: 10/10/2019] [Accepted: 10/11/2019] [Indexed: 06/10/2023]
Abstract
OBJECTIVES The aim of this study was to determine whether any salient differences exist in triple-negative breast cancer (TNBC) between premenopausal and postmenopausal patients by comprehensively comparing the ultrasound (US) and clinicopathologic features of these patients. METHODS A detailed evaluation of the US and clinicopathologic features of 60 tumors from 60 patients with a diagnosis of TNBC (36 premenopausal and 24 postmenopausal women) was conducted in this retrospective study. RESULTS Triple-negative breast cancer in premenopausal patients was more likely to show a round or oval shape and microlobulated margins, more commonly exerted effects on surrounding tissue, and showed grade 3 blood flow according to the method of Adler et al (Ultrasound Med Biol 1990; 16:553-559) compared with tumors in postmenopausal women. Triple-negative breast cancer in postmenopausal patients showed some similar US features as those observed in estrogen receptor-positive tumors, including irregular shapes, angular or spiculated margins, and nonparallel growth to the skin (P < .05 for all). CONCLUSIONS Although US cannot be used to unequivocally identify TNBC, it can distinguish some salient US features regarding TNBC between premenopausal and postmenopausal women. Such information can then provide some valuable predictive information on the diagnosis of TNBC for clinicians.
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Affiliation(s)
- Kai Zhu
- First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Dongmo Wang
- Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Ziyao Li
- Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Guoqing Du
- Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Qiang Guo
- Jinshan Branch of Shanghai Sixth People's Hospital, affiliated with Shanghai Jiaotong University, Shanghai, China
| | - Tong Wu
- Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Juan Li
- Second Affiliated Hospital of Harbin Medical University, Harbin, China
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Liu H, Wan J, Xu G, Xiang LH, Fang Y, Ding SS, Jiang X, Sun LP, Zhang YF. Conventional US and 2-D Shear Wave Elastography of Virtual Touch Tissue Imaging Quantification: Correlation with Immunohistochemical Subtypes of Breast Cancer. ULTRASOUND IN MEDICINE & BIOLOGY 2019; 45:2612-2622. [PMID: 31371128 DOI: 10.1016/j.ultrasmedbio.2019.06.421] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/06/2019] [Revised: 06/27/2019] [Accepted: 06/28/2019] [Indexed: 06/10/2023]
Abstract
Our study aimed to investigate the correlation of the imaging features obtained using conventional ultrasound (US) and elastography (conventional strain elastography of elasticity imaging [EI], virtual touch tissue imaging [VTI] and 2-D shear wave elastography [2-D-SWE] of virtual touch tissue imaging quantification [VTIQ]) with the clinicopathologic features and immunohistochemical (IHC) subtypes of breast cancer. The sample consisted of images from 202 patients with 206 breast lesions that were confirmed as breast cancers. Lesions with HER2 overexpression (luminal B HER2+ or HER2+) had higher mean shear wave velocity (SWV) values than the others. Older patients, lower histologic grade, no lymphovascular invasion and no lymph node metastasis were associated with luminal A (p < 0.001). There were significant differences in SWV values, histologic grade and lymph node status among the different pathologic types. This association may allow the use of 2-D-SWE in the pre-operative prediction of tumor characteristics and biologic activity, which may determine the prognosis in a non-invasive manner.
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Affiliation(s)
- Hui Liu
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China; Thyroid Institute, Tongji University School of Medicine, Shanghai, China
| | - Jing Wan
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China; Thyroid Institute, Tongji University School of Medicine, Shanghai, China
| | - Guang Xu
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China; Thyroid Institute, Tongji University School of Medicine, Shanghai, China
| | - Li-Hua Xiang
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China; Thyroid Institute, Tongji University School of Medicine, Shanghai, China
| | - Yan Fang
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China; Thyroid Institute, Tongji University School of Medicine, Shanghai, China
| | - Shi-Si Ding
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China; Thyroid Institute, Tongji University School of Medicine, Shanghai, China
| | - Xiao Jiang
- Department of Pathology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China
| | - Li-Ping Sun
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China; Thyroid Institute, Tongji University School of Medicine, Shanghai, China
| | - Yi-Feng Zhang
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China; Thyroid Institute, Tongji University School of Medicine, Shanghai, China.
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Wang D, Zhu K, Tian J, Li Z, Du G, Guo Q, Wu T, Li J. Clinicopathological and Ultrasonic Features of Triple-Negative Breast Cancers: A Comparison with Hormone Receptor-Positive/Human Epidermal Growth Factor Receptor-2-Negative Breast Cancers. ULTRASOUND IN MEDICINE & BIOLOGY 2018; 44:1124-1132. [PMID: 29482888 DOI: 10.1016/j.ultrasmedbio.2018.01.013] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2017] [Revised: 11/23/2017] [Accepted: 01/17/2018] [Indexed: 06/08/2023]
Abstract
The purpose of this study was to analyze the clinicopathological and ultrasound characteristics of triple-negative breast cancers (TNBCs) and compare these findings with those for hormone receptor-positive (HR-positive)/human epidermal growth factor receptor-2-negative (HER-2-negative) tumors. Seventy-five TNBCs and 135 HR-positive/HER-2-negative breast cancers were reviewed. Data from conventional ultrasound, Doppler vascularity and elastography were included in the analysis. TNBCs had a higher histologic grade and Ki-67 level. On ultrasound, TNBCs often appeared as microlobulated, markedly hypo-echoic masses with an abrupt interface boundary, posterior acoustic enhancement, absence of calcifications and more characteristics of surrounding tissue. Results from multivariate regression analysis revealed that margin, posterior acoustic features and surrounding tissue features of tumors were independent predictive factors in differentiating TNBCs from HR-positive/HER-2-negative tumors. Our results suggest that a thorough evaluation of sonographic findings might be useful in discriminating between TNBCs and HR-positive/HER-2-negative tumors, which may provide accurate evidence for clinical early diagnosis.
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Affiliation(s)
- Dongmo Wang
- Ultrasound Department, Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China
| | - Kai Zhu
- Radiology Department, First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China
| | - Jiawei Tian
- Ultrasound Department, Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China.
| | - Ziyao Li
- Ultrasound Department, Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China
| | - Guoqing Du
- Ultrasound Department, Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China
| | - Qiang Guo
- Ultrasound Department, Jinshan Branch of Shanghai Sixth People's Hospital Affiliated to Shanghai Jiaotong University, Shanghai, China
| | - Tong Wu
- Ultrasound Department, Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China
| | - Juan Li
- Pathology Department, Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China
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Tandon A, Srivastava P, Manchanda S, Wadhwa N, Gupta N, Kaur N, Pant CS, Pal R, Bhatt S. Role of Sonography in Predicting the Hormone Receptor Status of Breast Cancer: A Prospective Study. JOURNAL OF DIAGNOSTIC MEDICAL SONOGRAPHY 2018; 34:3-14. [DOI: 10.1177/8756479317721663] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/04/2025]
Abstract
The purpose of this study was to determine the predictive value of sonography in identifying the receptor status of breast cancer. Sonograms were performed on 73 patients with breast cancer by two experienced sonologists, and the sonographic features such as tumor size, shape, margins, vascularity, posterior acoustic features, and architectural distortion of surrounding tissues were studied. These were then correlated with the receptor status, that is, triple negative versus non-triple negative. Triple-negative breast cancer was associated with large size, circumscribed margins, posterior acoustic enhancement, high vascularity, and lack of architectural distortion. Non-triple-negative breast cancer tumors revealed smaller sizes with spiculated margins, posterior shadowing, lower vascularity, and architectural distortion of surrounding tissues. Sonography revealed a high sensitivity and specificity (84.0% and 81.2%, respectively) on multivariate analysis for identifying receptor status prospectively. Interobserver agreement was also good. In conclusion, sonography may play a valuable role in prospectively predicting the receptor status in breast cancer and can serve as a potential tool for detecting triple-negative cancer.
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Affiliation(s)
- Anupama Tandon
- Department of Radiology & Imaging, University College of Medical Sciences, and Guru Teg Bahadur Hospital, Dilshad Garden, University of Delhi, New Delhi, India
| | - Prachi Srivastava
- Department of Radiology & Imaging, University College of Medical Sciences, and Guru Teg Bahadur Hospital, Dilshad Garden, University of Delhi, New Delhi, India
| | - Smita Manchanda
- Department of Radiology & Imaging, All India Institute of Medical Sciences, New Delhi, India
| | - Neelam Wadhwa
- Department of Pathology, University College of Medical Sciences and Guru Teg Bahadur Hospital, University of Delhi, New Delhi, India
| | - Natasha Gupta
- Department of Radiology & Imaging, University College of Medical Sciences, and Guru Teg Bahadur Hospital, Dilshad Garden, University of Delhi, New Delhi, India
| | - Navneet Kaur
- Department of Surgery, University College of Medical Sciences and Guru Teg Bahadur Hospital, University of Delhi, New Delhi, India
| | - C. S. Pant
- Col Pant’s Imaging Centre, Green Park (Main), New Delhi, India
| | - Raj Pal
- Department of Radiology & Imaging, University College of Medical Sciences, and Guru Teg Bahadur Hospital, Dilshad Garden, University of Delhi, New Delhi, India
| | - Shuchi Bhatt
- Department of Radiology & Imaging, University College of Medical Sciences, and Guru Teg Bahadur Hospital, Dilshad Garden, University of Delhi, New Delhi, India
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Jitariu AA, Cîmpean AM, Ribatti D, Raica M. Triple negative breast cancer: the kiss of death. Oncotarget 2017; 8:46652-46662. [PMID: 28445140 PMCID: PMC5542300 DOI: 10.18632/oncotarget.16938] [Citation(s) in RCA: 124] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2017] [Accepted: 03/19/2017] [Indexed: 12/22/2022] Open
Abstract
One of the most controversial women malignancies, triple negative breast cancers (TNBCs) are critically overviewed here, being focused on data useful in clinical practice or to improve the therapy and patients survival. TNBCs "choose" young women and its "kiss" is, unfortunately deadly in most cases. Currently, few sparse data are available in literature concerning the origins of TNBC. Vasculogenic mimicry detected in TNBCs, seems to be determined by a population of CD133+ cells and may be stimulated by different pharmacological agents such sunitinib. Despite the fact that TNBCs do not usually metastasize through the lymphatic pathways, TNBCs may be characterized by lymphatic invasion and by an increased lymphatic microvascular density. If TNBCs treatment depends on the molecular profile of the tumor, the same statement may be postulated for TNBCs metastasis. Whether metastases have a similar phenotype as the primary tumor remains an enigma. Therefore, the question: 'Could TNBC be subject to a standardized, unanimously accepted therapeutic strategy or is it strictly subclass-dependent?' remains to be further investigated.
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Affiliation(s)
- Adriana-Andreea Jitariu
- Department of Microscopic Morphology/Histology, Angiogenesis Research Center, Victor Babeş University of Medicine and Pharmacy, Timişoara, Romania
| | - Anca Maria Cîmpean
- Department of Microscopic Morphology/Histology, Angiogenesis Research Center, Victor Babeş University of Medicine and Pharmacy, Timişoara, Romania
| | - Domenico Ribatti
- Department of Basic Medical Sciences, Neurosciences and Sensory Organs, University of Bari Medical School, Bari, Italy
- National Cancer Institute “ Giovanni Paolo II”, Bari, Italy
| | - Marius Raica
- Department of Microscopic Morphology/Histology, Angiogenesis Research Center, Victor Babeş University of Medicine and Pharmacy, Timişoara, Romania
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Pu H, Zhao LX, Yao MH, Xu G, Liu H, Xu HX, Wu R. Conventional US combined with acoustic radiation force impulse (ARFI) elastography for prediction of triple-negative breast cancer and the risk of lymphatic metastasis. Clin Hemorheol Microcirc 2017; 65:335-347. [PMID: 28222500 DOI: 10.3233/ch-16196] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Affiliation(s)
- Huan Pu
- Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Shanghai, China
- Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China
| | - Li-xia Zhao
- Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Shanghai, China
- Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China
| | - Ming-hua Yao
- Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Shanghai, China
- Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China
| | - Guang Xu
- Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Shanghai, China
- Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China
| | - Hui Liu
- Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Shanghai, China
- Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China
| | - Hui-Xiong Xu
- Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Shanghai, China
- Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China
| | - Rong Wu
- Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Shanghai, China
- Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China
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11
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Sohn YM, Han K, Seo M. Immunohistochemical Subtypes of Breast Cancer: Correlation with Clinicopathological and Radiological Factors. IRANIAN JOURNAL OF RADIOLOGY 2016; 13:e31386. [PMID: 27895868 PMCID: PMC5116817 DOI: 10.5812/iranjradiol.31386] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/10/2015] [Revised: 11/17/2015] [Accepted: 02/15/2016] [Indexed: 12/15/2022]
Abstract
BACKGROUND The relationship between biomarkers and imaging features is important because imaging findings can predict molecular features. OBJECTIVES To investigate the relationship between clinicopathologic and radiologic factors and the immunohistochemical (IHC) profiles associated with breast cancer. PATIENTS AND METHODS From December 2004 to September 2013, 200 patients (mean age, 56 years; range, 29 - 82 years) were diagnosed with breast cancer and underwent surgery at our institution. Their medical records were reviewed to determine age, symptom presence, mammographic findings (including mass, asymmetry, microcalcifications, or negativity), sonographic Breast Imaging-Reporting and Data System (BI-RADS) category, pathologic type of cancer (invasive ductal, mucinous, medullary, or papillary carcinoma), histologic grade, T-stage, and IHC subtypes. Based on the IHC profiles, tumor subtypes were classified as luminal A, luminal B, human epidermal growth factor receptor 2 (HER2) enriched, or triple-negative (TN) cancers. Using univariate and multivariate logistic regression analyses, we looked for correlations between four IHC subtypes and two IHC subtypes (TN and non-triple negative [non-TN]) and clinicopathologic and radiologic factors, respectively. RESULTS Based on our univariate analyses with the four subtypes, the TN subtype showed a higher incidence of masses on mammography compared to the other subtypes (P = 0.037), and the TN subtype also tended to have the highest histologic grade among the subtypes (P < 0.001). With regard to the two IHC subtypes, the TN subtype had a significant association with medullary cancer (P = 0.021), higher histologic grade (grade 3; P < 0.001), and higher T stage (T2; P = 0.027) compared to the non-TN subtypes. In a multivariate logistic regression analysis of the clinicoradiologic factors compared to luminal A, the HER2 subtype had a significant association with BI-RADS category 4b (odds ratio [OR], 9.005; 95% confidence interval [CI], 1.414 - 57.348; P = 0.020) and borderline significance with category 4c (OR, 4.669; 95% CI, 0.970 - 22.468; P = 0.055). In a multivariate logistic regression analysis of the clinicoradiologic factors associated with the non-TN subtypes, the TN subtype was significantly correlated with medullary carcinoma (OR, 7.092; 95% CI, 1.149 - 43.772; P = 0.035). CONCLUSION These results suggest that patients with the TN subtypes are more likely to have higher-histologic-grade tumors and medullary cancer. The HER2 subtype was typically associated with a higher BI-RADS category.
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Affiliation(s)
- Yu-Mee Sohn
- Department of Radiology, Kyung Hee University Hospital, College of Medicine, Kyung Hee University, Seoul, South Korea
- Corresponding author: Yu-Mee Sohn, Department of Radiology, Kyung Hee University Hospital, College of Medicine, Kyung Hee University, Seoul, South Korea. Tel: +82-29588625, Fax: +82-29680787, E-mail:
| | - Kyunghwa Han
- Department of Radiology, Yonsei Biomedical Research Institute, Research Institute of Radiological Science, Seoul, South Korea
| | - Mirinae Seo
- Department of Radiology, Kyung Hee University Hospital, College of Medicine, Kyung Hee University, Seoul, South Korea
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12
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Li Z, Tian J, Wang X, Wang Y, Wang Z, Zhang L, Jing H, Wu T. Differences in Multi-Modal Ultrasound Imaging between Triple Negative and Non-Triple Negative Breast Cancer. ULTRASOUND IN MEDICINE & BIOLOGY 2016; 42:882-890. [PMID: 26786891 DOI: 10.1016/j.ultrasmedbio.2015.12.003] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/07/2015] [Revised: 12/04/2015] [Accepted: 12/08/2015] [Indexed: 06/05/2023]
Abstract
The objective of this study was to identify multi-modal ultrasound imaging parameters that could potentially help to differentiate between triple negative breast cancer (TNBC) and non-TNBC. Conventional ultrasonography, ultrasound strain elastography and 3-D ultrasound (3-D-US) findings from 50 TNBC and 179 non-TNBC patients were retrospectively reviewed. Immunohistochemical examination was used as the reference gold standard for cancer subtyping. Different ultrasound modalities were initially analyzed to define TNBC-related features. Subsequently, logistic regression analysis was applied to TNBC-related features to establish models for predicting TNBC. TNBCs often presented as micro-lobulated, markedly hypo-echoic masses with an abrupt interface (p = 0.015, 0.0015 and 0.004, compared with non-TNBCs, respectively) on conventional ultrasound, and showed a diminished retraction pattern phenomenon in the coronal plane (p = 0.035) on 3-D-US. Our findings suggest that B-mode ultrasound and 3-D-US in multi-modality ultrasonography could be a useful non-invasive technique for differentiating TNBCs from non-TNBCs.
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Affiliation(s)
- Ziyao Li
- Department of Ultrasound, Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Jiawei Tian
- Department of Ultrasound, Second Affiliated Hospital of Harbin Medical University, Harbin, China.
| | - Xiaowei Wang
- Department of Ultrasound, Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Ying Wang
- Department of General Surgery, Second Hospital of Hebei Medical University, Shijiazhuang, China
| | - Zhenzhen Wang
- Department of Ultrasound, Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Lei Zhang
- Department of Ultrasound, Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Hui Jing
- Department of Ultrasound, Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Tong Wu
- Department of Ultrasound, Second Affiliated Hospital of Harbin Medical University, Harbin, China
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13
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Elastographic features of triple negative breast cancers. Eur Radiol 2015; 26:1090-7. [PMID: 26231093 DOI: 10.1007/s00330-015-3925-7] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2015] [Revised: 06/15/2015] [Accepted: 07/07/2015] [Indexed: 01/27/2023]
Abstract
OBJECTIVES To evaluate shear-wave elastographic (SWE) features of triple negative breast cancers (TNBC) and determine useful discriminators from other types of invasive breast cancers. METHODS SWE features of 26 TNBC were reviewed and compared to 32 non-TNBC. Qualitative SWE features of lesion colour appearance, shape and homogeneity were analysed. Quantitative features were measured: mean (El mean), maximum (El max) and minimum (El min) elasticity value of the stiffest portion of the mass, mean elasticity of the surrounding tissue (El mean surr) and lesion to fat elasticity ratio (E ratio). RESULTS TNBC are more often regularly shaped (57.7 % vs. 6.2 %), while non-TNBC are more commonly red (93.7 % vs 42.3 %) and heterogeneous (68.7 % vs 42.3 %). The stiffness of TNBC is significantly lower compared to non-TNBC. The two groups could be distinguished on the basis of El max (p = 0.001), El mean (p = 0.001), El min (p = 0.001) and E ratio (p = 0.0017). Lesion to fat elasticity ratio in TNBC group was statistically significantly lower than in the non-TNBC control group (p = 0.009). CONCLUSIONS TNBC often demonstrate benign morphological features, are softer on SWE and have a lower lesion to fat stiffness ratio compared to the other, more common types of invasive breast cancers. KEY POINTS • TNBC often demonstrate benign morphological features on SWE. • TNBC present on elastography mostly as red, regularly shaped, heterogeneous lesions. • TNBC are less stiff compared to other invasive breast cancers. • TNBC have lower lesion to fat stiffness ratio than other breast cancers.
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14
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Jung HK, Han K, Lee YJ, Moon HJ, Kim EK, Kim MJ. Mammographic and sonographic features of triple-negative invasive carcinoma of no special type. ULTRASOUND IN MEDICINE & BIOLOGY 2015; 41:375-383. [PMID: 25542493 DOI: 10.1016/j.ultrasmedbio.2014.09.006] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/21/2014] [Revised: 08/29/2014] [Accepted: 09/02/2014] [Indexed: 06/04/2023]
Abstract
The aim of this study was to compare the mammography, ultrasound (US) and histologic features of triple-negative (TN) invasive carcinoma of no special type (NST) to non-TN invasive carcinoma of NST. The second aim was to assess whether the distinct imaging characteristics of TN breast cancer would persist after controlling for the histologic features. A total of 344 invasive carcinomas of NST in 337 patients from January 2007 to February 2008 were included in this study. Two radiologists retrospectively reviewed the mammography and US findings using the American College of Radiology Breast Imaging Reporting and Data System (BI-RADS) lexicon and our institution's criteria. On mammography, TN invasive carcinoma of NST most commonly presented as a mass with round shape and non-spiculated margin. On US, it was more likely to have internal hypoechogenicity, an abrupt boundary and posterior acoustic enhancement. TNBC lacked major suspicious imaging findings such as an irregular shape, spiculated margin and calcification.
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Affiliation(s)
- Hyun Kyung Jung
- Department of Diagnostic Radiology, Severance Hospital, Research Institute of Radiologic Science, Yonsei University College of Medicine, Seoul, Korea; Department of Diagnostic Radiology, College of Medicine, Haeundae Paik Hospital, Inje University, Busan, Korea
| | - Kyunghwa Han
- Department of Diagnostic Radiology, Research Institute of Radiologic Science, Biostatistics Collaboration Unit, Yonsei University College of Medicine, Seoul, Korea
| | - Yeo Jin Lee
- Department of Diagnostic Radiology, Severance Hospital, Research Institute of Radiologic Science, Yonsei University College of Medicine, Seoul, Korea
| | - Hee Jung Moon
- Department of Diagnostic Radiology, Severance Hospital, Research Institute of Radiologic Science, Yonsei University College of Medicine, Seoul, Korea
| | - Eun-Kyung Kim
- Department of Diagnostic Radiology, Severance Hospital, Research Institute of Radiologic Science, Yonsei University College of Medicine, Seoul, Korea
| | - Min Jung Kim
- Department of Diagnostic Radiology, Severance Hospital, Research Institute of Radiologic Science, Yonsei University College of Medicine, Seoul, Korea.
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15
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Diagnostic Performance of Quantitative Shear Wave Elastography in the Evaluation of Solid Breast Masses: Determination of the Most Discriminatory Parameter. AJR Am J Roentgenol 2014; 203:W328-36. [DOI: 10.2214/ajr.13.11693] [Citation(s) in RCA: 75] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
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16
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Oktay M, Oktay NA, Besir FH, Buyukkaya R, Erdem H, Önal B, Ozaydın İ, Yazıcı B. Relation between radiographic BI-RADS scores and triple negativity in patients with ductal carcinomas. Int J Clin Exp Med 2014; 7:2334-2338. [PMID: 25232431 PMCID: PMC4161591] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2014] [Accepted: 07/27/2014] [Indexed: 06/03/2023]
Abstract
UNLABELLED The aim of this study was to investigate association of radiographic (BI-RADS 4 and 5) results and prognostic factors of invasive ductal carcinomas with their histopathological subtypes. A total of 103 patients histopathologically diagnosed with invasive ductal carcinoma of breast with in last five years period were enrolled. Of them, 69 patients who had radiological reports in were included from registry of Radiology Department; Duzce University Training and Research Hospital archives. BI-RADS scores (4 and 5) of radiological reports and subtypes of ductal carcinoma were compared. Of 69 cases, 12 of 22 cases with BIRADS 4 score were Triple negative (TN) while 5 of 47 cases with BIRADS 5 score were TN (p = 0.001). The patients with TN tumors were found to have lower average age, higher grade, higher Ki67 proliferative index and fewer lymph node metastasis than those with non-TN ductal carcinomas (p = 0.048; 0.019; 0.02; 0.048 respectively). CONCLUSIONS Patients who had radiological BIRADS 4 score were significantly more frequent TN type carcinoma than BI-RADS 5. It is important to pay attention to this issue when clinicians evaluate patients with BI-RADS 4 score breast lesions.
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Affiliation(s)
- Murat Oktay
- Department of Pathology, Duzce University Medical SchoolTurkey
| | | | | | | | - Havva Erdem
- Department of Pathology, Duzce University Medical SchoolTurkey
| | - Binnur Önal
- Department of Pathology, Duzce University Medical SchoolTurkey
- Ankara Breast Diseases SocietyAnkara, Turkey
| | - İsmet Ozaydın
- Department of Surgery, Duzce University Medical SchoolTurkey
| | - Burhan Yazıcı
- Department of Radiology, Duzce University Medical SchoolTurkey
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17
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Yamaguchi K, Abe H, Newstead GM, Egashira R, Nakazono T, Imaizumi T, Irie H. Intratumoral heterogeneity of the distribution of kinetic parameters in breast cancer: comparison based on the molecular subtypes of invasive breast cancer. Breast Cancer 2014; 22:496-502. [PMID: 24402638 DOI: 10.1007/s12282-013-0512-0] [Citation(s) in RCA: 48] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2013] [Accepted: 12/18/2013] [Indexed: 12/14/2022]
Abstract
PURPOSE To evaluate the distribution pattern of kinetic parameters in breast cancers with various molecular subtypes. MATERIALS AND METHODS This study was approved by institutional review board and was compliant with HIPAA. We classified 192 invasive breast cancers of 186 patients into four molecular subtypes using hormone receptor (HR) and human epidermal growth factor receptor 2 (HER2) results and evaluated the distribution pattern of kinetic parameters (percent volume of kinetic types relative to the tumor volume) in the molecular subtypes. RESULTS In the delayed phase, all three types of kinetic parameter (persistent, plateau, and washout pattern) were observed in each molecular subtype without any dominant type of kinetic parameter. The percentages of washout pattern in the HR+ and HER2- type and triple negative (TN) cancers tended to be lower than those in the other molecular subtype cancers. CONCLUSION Each molecular subtype of invasive breast cancer showed a heterogeneous kinetic pattern in dynamic-contrast magnetic resonance imaging (MRI). The HR+/HER2- cancers and the TN cancers had relatively lower percentages of washout pattern. When a manual assessment of the kinetic parameters is performed, close attention should be paid in order to identify the malignant washout kinetic pattern, particularly in HR+/HER2- cancer and TN cancer.
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Affiliation(s)
- Ken Yamaguchi
- Department of Radiology, Faculty of Medicine, Saga University, 5-1-1 Nabeshima, Saga, 849-8501, Japan,
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18
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Youk JH, Gweon HM, Son EJ, Kim JA, Jeong J. Shear-wave elastography of invasive breast cancer: correlation between quantitative mean elasticity value and immunohistochemical profile. Breast Cancer Res Treat 2013; 138:119-26. [DOI: 10.1007/s10549-013-2407-3] [Citation(s) in RCA: 62] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2012] [Accepted: 01/07/2013] [Indexed: 12/29/2022]
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19
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Fasching PA, Ekici AB, Adamietz BR, Wachter DL, Hein A, Bayer CM, Häberle L, Loehberg CR, Jud SM, Heusinger K, Rübner M, Rauh C, Bani MR, Lux MP, Schulz-Wendtland R, Hartmann A, Beckmann MW. Breast Cancer Risk - Genes, Environment and Clinics. Geburtshilfe Frauenheilkd 2011; 71:1056-1066. [PMID: 25253900 DOI: 10.1055/s-0031-1280437] [Citation(s) in RCA: 39] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2011] [Revised: 11/21/2011] [Accepted: 11/01/2011] [Indexed: 12/14/2022] Open
Abstract
The information available about breast cancer risk factors has increased dramatically during the last 10 years. In particular, studies of low-penetrance genes and mammographic density have improved our understanding of breast cancer risk. In addition, initial steps have been taken in investigating interactions between genes and environmental factors. This review concerns with actual data on this topic. Several genome-wide association studies (GWASs) with a case-control design, as well as large-scale validation studies, have identified and validated more than a dozen single nucleotide polymorphisms (SNPs) associated with breast cancer risk. They are located not only in or close to genes known to be involved in cancer pathogenesis, but also in genes not previously associated with breast cancer pathogenesis, or may even not be related to any genes. SNPs have also been identified that alter the lifetime risk in BRCA mutation carriers. With regard to nongenetic risk factors, studies of postmenopausal hormone replacement therapy (HRT) have revealed important information on how to weigh up the risks and benefits of HRT. Mammographic density (MD) has become an accepted and important breast cancer risk factor. Lifestyle and nutritional considerations have become an integral part of most studies of breast cancer risk, and some improvements have been made in this field as well. More than 10 years after the publication of the first breast cancer prevention studies with tamoxifen, other substances such as raloxifene and aromatase inhibitors have been investigated and have also been shown to have preventive potential. Finally, mammographic screening systems have been implemented in most Western countries during the last decade. These may be developed further by including more individualized methods of predicting the patient's breast cancer risk.
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Affiliation(s)
- P A Fasching
- Universitäts-Brustzentrum Franken, Frauenklinik des Universitätsklinikums Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg, Comprehensive Cancer Center Erlangen-Nürnberg, Erlangen
| | - A B Ekici
- Institut für Humangenetik, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen
| | - B R Adamietz
- Institut für Diagnostische Radiologie, Universitätsklinikum Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen
| | - D L Wachter
- Institut für Pathologie, Universitätsklinikum Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen
| | - A Hein
- Universitäts-Brustzentrum Franken, Frauenklinik des Universitätsklinikums Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg, Comprehensive Cancer Center Erlangen-Nürnberg, Erlangen
| | - C M Bayer
- Universitäts-Brustzentrum Franken, Frauenklinik des Universitätsklinikums Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg, Comprehensive Cancer Center Erlangen-Nürnberg, Erlangen
| | - L Häberle
- Universitäts-Brustzentrum Franken, Frauenklinik des Universitätsklinikums Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg, Comprehensive Cancer Center Erlangen-Nürnberg, Erlangen
| | - C R Loehberg
- Universitäts-Brustzentrum Franken, Frauenklinik des Universitätsklinikums Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg, Comprehensive Cancer Center Erlangen-Nürnberg, Erlangen
| | - S M Jud
- Universitäts-Brustzentrum Franken, Frauenklinik des Universitätsklinikums Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg, Comprehensive Cancer Center Erlangen-Nürnberg, Erlangen
| | - K Heusinger
- Universitäts-Brustzentrum Franken, Frauenklinik des Universitätsklinikums Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg, Comprehensive Cancer Center Erlangen-Nürnberg, Erlangen
| | - M Rübner
- Universitäts-Brustzentrum Franken, Frauenklinik des Universitätsklinikums Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg, Comprehensive Cancer Center Erlangen-Nürnberg, Erlangen
| | - C Rauh
- Universitäts-Brustzentrum Franken, Frauenklinik des Universitätsklinikums Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg, Comprehensive Cancer Center Erlangen-Nürnberg, Erlangen
| | - M R Bani
- Universitäts-Brustzentrum Franken, Frauenklinik des Universitätsklinikums Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg, Comprehensive Cancer Center Erlangen-Nürnberg, Erlangen
| | - M P Lux
- Universitäts-Brustzentrum Franken, Frauenklinik des Universitätsklinikums Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg, Comprehensive Cancer Center Erlangen-Nürnberg, Erlangen
| | - R Schulz-Wendtland
- Institut für Diagnostische Radiologie, Universitätsklinikum Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen
| | - A Hartmann
- Institut für Pathologie, Universitätsklinikum Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen
| | - M W Beckmann
- Universitäts-Brustzentrum Franken, Frauenklinik des Universitätsklinikums Erlangen, Friedrich-Alexander Universität Erlangen-Nürnberg, Comprehensive Cancer Center Erlangen-Nürnberg, Erlangen
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