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Li T, Zhang J, Yan Y, Tan M, Chen Y. Applications of FAPI PET/CT in the diagnosis and treatment of breast and the most common gynecologic malignancies: a literature review. Front Oncol 2024; 14:1358070. [PMID: 38505595 PMCID: PMC10949888 DOI: 10.3389/fonc.2024.1358070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Accepted: 02/21/2024] [Indexed: 03/21/2024] Open
Abstract
The fibroblast activating protein (FAP) is expressed by some fibroblasts found in healthy tissues. However, FAP is overexpressed in more than 90% of epithelial tumors, including breast and gynecological tumors. As a result, the FAP ligand could be used as a target for diagnosis and treatment purposes. Positron emission tomography/computed tomography (PET/CT) is a hybrid imaging technique commonly used to locate and assess the tumor's molecular and metabolic functions. PET imaging involves the injection of a radiotracer that tends to accumulate more in metabolically active lesions such as cancer. Several radiotracers have been developed to target FAP in PET/CT imaging, such as the fibroblast-activation protein inhibitor (FAPI). These tracers bind to FAP with high specificity and affinity, allowing for the non-invasive detection and quantification of FAP expression in tumors. In this review, we discussed the applications of FAPI PET/CT in the diagnosis and treatment of breast and the most common gynecologic malignancies. Radiolabeled FAPI can improve the detection, staging, and assessment of treatment response in breast and the most common gynecologic malignancies, but the problem with normal hormone-responsive organs remains insurmountable. Compared to the diagnostic applications of FAPI, further research is needed for future therapeutic applications.
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Affiliation(s)
- Tengfei Li
- Department of Nuclear Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
- Nuclear Medicine and Molecular Imaging Key Laboratory of Sichuan Province, Luzhou, Sichuan, China
- Nuclear Medicine Institute of Southwest Medical University, Luzhou, Sichuan, China
| | - Jintao Zhang
- Department of Nuclear Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
- Nuclear Medicine and Molecular Imaging Key Laboratory of Sichuan Province, Luzhou, Sichuan, China
- Nuclear Medicine Institute of Southwest Medical University, Luzhou, Sichuan, China
| | - Yuanzhuo Yan
- Department of Nuclear Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
- Nuclear Medicine and Molecular Imaging Key Laboratory of Sichuan Province, Luzhou, Sichuan, China
- Nuclear Medicine Institute of Southwest Medical University, Luzhou, Sichuan, China
| | - Min Tan
- Department of Nuclear Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
- Nuclear Medicine and Molecular Imaging Key Laboratory of Sichuan Province, Luzhou, Sichuan, China
- Nuclear Medicine Institute of Southwest Medical University, Luzhou, Sichuan, China
| | - Yue Chen
- Department of Nuclear Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China
- Nuclear Medicine and Molecular Imaging Key Laboratory of Sichuan Province, Luzhou, Sichuan, China
- Nuclear Medicine Institute of Southwest Medical University, Luzhou, Sichuan, China
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Lee M, Kotake R, Yamauchi H. Physical Activity and Mammographic Density in Japanese Women. Cancer Epidemiol Biomarkers Prev 2024; 33:365-370. [PMID: 38147061 PMCID: PMC10905669 DOI: 10.1158/1055-9965.epi-23-0777] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 10/11/2023] [Accepted: 12/20/2023] [Indexed: 12/27/2023] Open
Abstract
BACKGROUND Dense breast is one of the strong risk factors for breast cancer among women. While it has been established that physical activity is associated with decreased risk for breast cancer, results have been inconsistent in terms of mammographic density. Thus, we examined physical activity in relation to mammographic density among Japanese women in Tokyo. METHODS We used 123,026 records from 33,698 Japanese women without a history of breast cancer who got mammograms at St. Luke's International Hospital in Tokyo, Japan from 2004 to 2019. Mammographic density was classified according to the Breast Imaging Reporting and Data System (BI-RADS), and women self-reported their physical activity level over the past year. ORs were estimated using logistic generalized estimating equations after adjusting for age, body mass index, menopausal status, parity, family history of breast or ovarian cancer, hormone therapy use, smoking status, alcohol consumption, and year. RESULTS We observed inverse associations of physical activity with dense breasts. Adjusted ORs were 0.96 (95% confidence interval: 0.91-1.00) for women with physical exercise for 1-2 days per week, 0.94 (0.88-0.99) for those with physical exercise for 3-5 days per week, and 0.91 (0.84-0.99) for those with daily physical exercise when compared with those reported seldom physical exercise. CONCLUSIONS Higher levels of physical activity may be associated with decreased mammographic density levels in Japanese women. IMPACT Increasing physical activity may serve as a reasonable intervention to reduce mammographic density, and thereby, to mitigate the risk of breast cancer in Asian women.
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Affiliation(s)
- Mihye Lee
- St. Luke's School of Public Health, Tokyo, Japan
| | - Rina Kotake
- St. Luke's School of Public Health, Tokyo, Japan
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Ferrando CA. Gynecologic Care of Transgender and Gender-Diverse People. Obstet Gynecol 2024; 143:243-255. [PMID: 37963404 DOI: 10.1097/aog.0000000000005440] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Accepted: 09/14/2023] [Indexed: 11/16/2023]
Abstract
The visibility and care of transgender and gender-diverse (TGD) people is an important component of gynecology. Transmasculine individuals require routine gynecologic and preventative care. Guidelines can be extrapolated from the cisgender female population, and using affirming language, acknowledging the challenges patients face with pelvic examination, and discussing individual gynecologic needs are important components of care. Transmasculine patients may seek hysterectomy for gender affirmation from gynecologists. Unique nuances exist in the considerations needed when preparing for hysterectomy, and patients should be thoroughly counseled with regard to concurrent vaginectomy or oophorectomy or both. Transfeminine patients often seek gynecologic care after gender-affirming surgery, and, unlike transmasculine patients, the gynecology visit is often very affirming and welcomed by patients. Becoming familiar with the perioperative and delayed postoperative care needs of transfeminine patients undergoing vaginoplasty can help improve the care provided by gynecologists. In general, prospective data on the outcomes of gender-affirming care in large cohorts of TGD patients are limited, but the body of literature is growing. Gynecologists remain central to the care of TGD patients, the academic advancement of the field of transgender health, and the advocacy needed to support this vulnerable patient population.
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Affiliation(s)
- Cecile A Ferrando
- Center for Urogynecology & Pelvic Reconstructive Surgery, Obstetrics & Gynecology Institute, Cleveland Clinic, Cleveland, Ohio
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He Y, Zhou J, Liu X, Wei Y, Ye S, Miao H, Liu H, Chen Z, Zhao Y, Wang M. Evaluation of Association Between Menstrual Cycle Timing and Quantitative Background Parenchymal Enhancement on Breast MRI in Premenopausal Women. Clin Breast Cancer 2023; 23:e451-e457.e1. [PMID: 37640598 DOI: 10.1016/j.clbc.2023.07.005] [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: 03/12/2023] [Revised: 07/20/2023] [Accepted: 07/21/2023] [Indexed: 08/31/2023]
Abstract
OBJECTIVES To evaluate the influence of menstrual cycle timing on quantitative background parenchymal enhancement and to assess an optimal timing of breast MRI in premenopausal women. METHODS A total of 197 premenopausal women were enrolled, 120 of which were in the malignant group and 77 in the benign group. Two radiologists depicted the regions of interest (ROI) of the three consecutive biggest slices of glandular tissue in the unaffected side and calculated the ratio (=[SIpost - SIpre]/SIpre) in ROI from the precontrast and early phase to assess BPE quantitatively. Association of BPE with menstrual cycle timing was compared in three categories. The relationships between BPE and age /body mass index (BMI) were also explored. RESULTS We found that the BPE ratio presented lower in patients with the follicular phase (day1-14) compared to the luteal phase (day15-30) in the benign group (P = .036). Also, the BPE ratio presented significantly lower in the proliferative phase (day5-14) than the menstrual phase (day1-4) and the secretory phase(day15-30) in the benign group (P = .006). While the BPE ratio was not significantly different among the respective weeks (1-4) of the menstrual cycle in the benign group (P > .05). In the malignant group, the BPE ratio did not significantly differ between/among any menstrual cycle phase or week (all P > .05). CONCLUSION It seems more suitable for Asian women whose lesions need to follow up or are suspected of malignant to undergo breast MRI within the 1st to 14th day of the menstrual cycle, especially on the 5th to 14th day.
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Affiliation(s)
- Yun He
- Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang , China
| | - Jiejie Zhou
- Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang , China
| | - Xinmiao Liu
- School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Yaru Wei
- School of Laboratory Medicine and Life Sciences, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Shuxin Ye
- Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang , China
| | - Haiwei Miao
- Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang , China
| | - Huiru Liu
- Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang , China
| | - Zhongwei Chen
- Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang , China
| | - Youfan Zhao
- Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang , China
| | - Meihao Wang
- Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang , China.
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Goodburn R, Kousi E, Sanders C, Macdonald A, Scurr E, Bunce C, Khabra K, Reddy M, Wilkinson L, O'Flynn E, Allen S, Schmidt MA. Quantitative background parenchymal enhancement and fibro-glandular density at breast MRI: Association with BRCA status. Eur Radiol 2023; 33:6204-6212. [PMID: 37017702 PMCID: PMC10415521 DOI: 10.1007/s00330-023-09592-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Revised: 02/20/2023] [Accepted: 02/22/2023] [Indexed: 04/06/2023]
Abstract
OBJECTIVES To investigate whether MRI-based measurements of fibro-glandular tissue volume, breast density (MRBD), and background parenchymal enhancement (BPE) could be used to stratify two cohorts of healthy women: BRCA carriers and women at population risk of breast cancer. METHODS Pre-menopausal women aged 40-50 years old were scanned at 3 T, employing a standard breast protocol including a DCE-MRI (35 and 30 participants in high- and low-risk groups, respectively). The dynamic range of the DCE protocol was characterised and both breasts were masked and segmented with minimal user input to produce measurements of fibro-glandular tissue volume, MRBD, and voxelwise BPE. Statistical tests were performed to determine inter- and intra-user repeatability, evaluate the symmetry between metrics derived from left and right breasts, and investigate MRBD and BPE differences between the high- and low-risk cohorts. RESULTS Intra- and inter-user reproducibility in estimates of fibro-glandular tissue volume, MRBD, and median BPE estimations were good, with coefficients of variation < 15%. Coefficients of variation between left and right breasts were also low (< 25%). There were no significant correlations between fibro-glandular tissue volume, MRBD, and BPE for either risk group. However, the high-risk group had higher BPE kurtosis, although linear regression analysis did not reveal significant associations between BPE kurtosis and breast cancer risk. CONCLUSIONS This study found no significant differences or correlations in fibro-glandular tissue volume, MRBD, or BPE metrics between the two groups of women with different levels of breast cancer risk. However, the results support further investigation into the heterogeneity of parenchymal enhancement. KEY POINTS • A semi-automated method enabled quantitative measurements of fibro-glandular tissue volume, breast density, and background parenchymal enhancement with minimal user intervention. • Background parenchymal enhancement was quantified over the entire parenchyma, segmented in pre-contrast images, thus avoiding region selection. • No significant differences and correlations in fibro-glandular tissue volume, breast density, and breast background parenchymal enhancement were found between two cohorts of women at high and low levels of breast cancer risk.
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Affiliation(s)
- Rosie Goodburn
- CRUK Cancer Imaging Centre, The Institute of Cancer Research and Royal Marsden Foundation Trust, London, UK.
- The Royal Marsden NHS Foundation Trust, Sutton, UK.
| | - Evanthia Kousi
- CRUK Cancer Imaging Centre, The Institute of Cancer Research and Royal Marsden Foundation Trust, London, UK
- The Royal Marsden NHS Foundation Trust, Sutton, UK
| | | | | | - Erica Scurr
- The Royal Marsden NHS Foundation Trust, Sutton, UK
| | - Catey Bunce
- The Royal Marsden NHS Foundation Trust, Sutton, UK
| | - Komel Khabra
- The Royal Marsden NHS Foundation Trust, Sutton, UK
| | - Mamatha Reddy
- St Georges University Hospitals NHS Foundation Trust, London, UK
| | | | | | - Steven Allen
- The Royal Marsden NHS Foundation Trust, Sutton, UK
| | - Maria Angélica Schmidt
- CRUK Cancer Imaging Centre, The Institute of Cancer Research and Royal Marsden Foundation Trust, London, UK
- The Royal Marsden NHS Foundation Trust, Sutton, UK
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Kotake R, Yamauchi H, Kimura T, Tsunoda H, Lee M. An association between mammographic breast density and fine particulate matter among postmenopausal women. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:25953-25958. [PMID: 36348241 DOI: 10.1007/s11356-022-23529-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Accepted: 10/05/2022] [Indexed: 06/16/2023]
Abstract
Increasing breast density is a risk factor for breast cancer. Geographic variations in breast density may be due to differences in lifestyle and diet, as well as environmental factors such as air pollution exposure. However, these environmental contributors have not been established. In this study, we evaluated an association between air pollution and mammographic breast density. The study population for this study was postmenopausal women who had undergone screening mammography at the Center for Preventive Medicine, St. Luke's International Hospital, from April 2004 to September 2018. Individual mammography results were obtained from electronic charts. The ambient air pollution (PM2.5) density of the locations of interest, namely, the patients' residential areas during the study period, was obtained. The mean PM2.5 exposure levels for 1, 3, 5, and 7 years were determined. A generalized estimating equations model was used to examine the association between air pollution density and dense breast. A total of 44,280 mammography results were included in this study, and 29,135 were classified in the non-dense breast group and 15,145 in the dense breast group. There was a 3% increase in the odds of having dense breasts after 1 year (OR = 1.027, 95% confidence interval (CI) 1.019-1.034) and 3 years of PM2.5 exposure (OR = 1.029, 95% CI 1.022-1.036). This further increased to 4% at 5-year exposure (OR = 1.044, 95% CI 1.037-1.052) and 5% at 7-year exposure (OR = 1.053, 95% CI 1.044-1.063). The risk for dense breasts increased if the factors of smoking, family history of breast and/or ovarian cancer, and history of childbirth were present.
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Affiliation(s)
- Rina Kotake
- School of Public Health, St. Luke's International University, Center for Clinical Academia, 5th Floor, Tsukiji 3-6-2, Chuo-ku, Tokyo, 104-0045, Japan
| | - Hideko Yamauchi
- Department of Breast Surgical Oncology, St. Luke's International Hospital, Tokyo, Japan
| | - Takeshi Kimura
- Center for Preventive Medicine, St. Luke's International Hospital, Tokyo, Japan
| | - Hiroko Tsunoda
- Department of Radiology, St. Luke's International Hospital, Tokyo, Japan
| | - Mihye Lee
- School of Public Health, St. Luke's International University, Center for Clinical Academia, 5th Floor, Tsukiji 3-6-2, Chuo-ku, Tokyo, 104-0045, Japan.
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PET/CT with Fibroblast Activation Protein Inhibitors in Breast Cancer: Diagnostic and Theranostic Application-A Literature Review. Cancers (Basel) 2023; 15:cancers15030908. [PMID: 36765866 PMCID: PMC9913570 DOI: 10.3390/cancers15030908] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Revised: 01/26/2023] [Accepted: 01/27/2023] [Indexed: 02/04/2023] Open
Abstract
Growing studies have recently reported on the promising application of radiolabeled-fibroblast activation protein inhibitors (FAPIs) as diagnostic and therapeutic agents in various oncological populations. To exclusively evaluate the current evidence on the diagnostic and therapeutic role of FAPI radiotracers in patients with breast cancer (BC), a narrative review of the available literature was performed. A search algorithm from PubMed/MEDLINE, based on the combination of "PET" OR "positron emission tomography" and "FAPI" and "cancer", with a last update in February 2022, was applied. From 233 identified articles, 33 studies conducted in BC patients and with available data on PET imaging or radiolabeled-FAPI therapy were finally considered, for a total of 191 patients. Despite some clinical and methodological heterogeneity among the reviewed articles, 68Ga-FAPI PET/CT emerges as a valuable diagnostic tool in BC patients both at staging and restaging, also demonstrating several technical advantages and an overall better performance than 18F-FDG, especially in histotypes with well-known low 18F-FDG avidity. Moreover, although with still limited clinical evidence in BC, radiolabeled FAPIs emerge as promising therapeutic agents in a theranostic perspective, increasing the possibility of more personalized treatments. From these results, future research directions on FAPI radiotracers application in BC patients are suggested.
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Deep Learning Models for Automated Assessment of Breast Density Using Multiple Mammographic Image Types. Cancers (Basel) 2022; 14:cancers14205003. [PMID: 36291787 PMCID: PMC9599904 DOI: 10.3390/cancers14205003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Revised: 10/09/2022] [Accepted: 10/10/2022] [Indexed: 11/24/2022] Open
Abstract
Simple Summary The DL model predictions in automated breast density assessment were independent of the imaging technologies, moderately or substantially agreed with the clinical reader density values, and had improved performance as compared to inclusion of commercial software values. Abstract Recently, convolutional neural network (CNN) models have been proposed to automate the assessment of breast density, breast cancer detection or risk stratification using single image modality. However, analysis of breast density using multiple mammographic types using clinical data has not been reported in the literature. In this study, we investigate pre-trained EfficientNetB0 deep learning (DL) models for automated assessment of breast density using multiple mammographic types with and without clinical information to improve reliability and versatility of reporting. 120,000 for-processing and for-presentation full-field digital mammograms (FFDM), digital breast tomosynthesis (DBT), and synthesized 2D images from 5032 women were retrospectively analyzed. Each participant underwent up to 3 screening examinations and completed a questionnaire at each screening encounter. Pre-trained EfficientNetB0 DL models with or without clinical history were optimized. The DL models were evaluated using BI-RADS (fatty, scattered fibroglandular densities, heterogeneously dense, or extremely dense) versus binary (non-dense or dense) density classification. Pre-trained EfficientNetB0 model performances were compared using inter-observer and commercial software (Volpara) variabilities. Results show that the average Fleiss’ Kappa score between-observers ranged from 0.31–0.50 and 0.55–0.69 for the BI-RADS and binary classifications, respectively, showing higher uncertainty among experts. Volpara-observer agreement was 0.33 and 0.54 for BI-RADS and binary classifications, respectively, showing fair to moderate agreement. However, our proposed pre-trained EfficientNetB0 DL models-observer agreement was 0.61–0.66 and 0.70–0.75 for BI-RADS and binary classifications, respectively, showing moderate to substantial agreement. Overall results show that the best breast density estimation was achieved using for-presentation FFDM and DBT images without added clinical information. Pre-trained EfficientNetB0 model can automatically assess breast density from any images modality type, with the best results obtained from for-presentation FFDM and DBT, which are the most common image archived in clinical practice.
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Armani M, Lissavarid É, Dyien B, Manceau J, Bereby Kahane M, Malhaire C, Tardivon A. Lésions classées ACR3 en IRM mammaire. IMAGERIE DE LA FEMME 2022. [DOI: 10.1016/j.femme.2022.08.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Brooks JD, Christensen RAG, Sung JS, Pike MC, Orlow I, Bernstein JL, Morris EA. MRI background parenchymal enhancement, breast density and breast cancer risk factors: A cross-sectional study in pre- and post-menopausal women. NPJ Breast Cancer 2022; 8:97. [PMID: 36008488 PMCID: PMC9411561 DOI: 10.1038/s41523-022-00458-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Accepted: 07/13/2022] [Indexed: 11/11/2022] Open
Abstract
Breast tissue enhances on contrast MRI and is called background parenchymal enhancement (BPE). Having high BPE has been associated with an increased risk of breast cancer. We examined the relationship between BPE and the amount of fibroglandular tissue on MRI (MRI-FGT) and breast cancer risk factors. This was a cross-sectional study of 415 women without breast cancer undergoing contrast-enhanced breast MRI at Memorial Sloan Kettering Cancer Center. All women completed a questionnaire assessing exposures at the time of MRI. Prevalence ratios (PR) and 95% confidence intervals (CI) describing the relationship between breast cancer risk factors and BPE and MRI-FGT were generated using modified Poisson regression. In multivariable-adjusted models a positive association between body mass index (BMI) and BPE was observed, with a 5-unit increase in BMI associated with a 14% and 44% increase in prevalence of high BPE in pre- and post-menopausal women, respectively. Conversely, a strong inverse relationship between BMI and MRI-FGT was observed in both pre- (PR = 0.66, 95% CI 0.57, 0.76) and post-menopausal (PR = 0.66, 95% CI 0.56, 0.78) women. Use of preventive medication (e.g., tamoxifen) was associated with having low BPE, while no association was observed for MRI-FGT. BPE is an imaging marker available from standard contrast-enhanced MRI, that is influenced by endogenous and exogenous hormonal exposures in both pre- and post-menopausal women.
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Affiliation(s)
- Jennifer D Brooks
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
| | | | - Janice S Sung
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Malcolm C Pike
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Irene Orlow
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jonine L Bernstein
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Elizabeth A Morris
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.,Department of Radiology, University of California Davis, Sacramento, CA, USA
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11
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A comparison of various methods for measuring breast density and breast tissue composition in adolescent girls and women. Sci Rep 2022; 12:13547. [PMID: 35941279 PMCID: PMC9360013 DOI: 10.1038/s41598-022-17800-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Accepted: 07/31/2022] [Indexed: 01/26/2023] Open
Abstract
This study compared different approaches to measuring breast density and breast tissue composition (BTC) in adolescent girls (n = 42, aged 14-16 years) and their mothers (n = 39, aged 36-61 years) from a cohort in Santiago, Chile. Optical spectroscopy (OS) was used to measure collagen, water, and lipid concentrations, which were combined into a percent breast density index (%BDI). A clinical dual-energy X-ray absorptiometry (DXA) system calibrated to measure breast density provided percent fibroglandular volume (%FGV) from manually delineated images. After digitizing mammogram films, the percent mammographic breast density (%MBD) was measured using computer-assisted software. Partial correlation coefficients (rpartial) were used to evaluate associations between breast density measures and BTC from these three different measurement approaches, adjusting for age and body mass index. %BDI from OS was associated with %FGV from DXA in adolescent girls (rpartial = 0.46, p-value = 0.003), but not in mothers (rpartial = 0.17, p-value = 0.32). In mothers, %FGV from DXA was associated with %MBD from mammograms (rpartial = 0.60, p-value < 0.001). These findings suggest that data from OS, DXA, and mammograms provide related but distinct information about breast density and BTC. Future studies should explore how the information provided by these different devices can be used for breast cancer risk prediction in cohorts of adolescent girls and women.
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12
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Clinical summary of fibroblast activation protein inhibitor-based radiopharmaceuticals: cancer and beyond. Eur J Nucl Med Mol Imaging 2022; 49:2844-2868. [DOI: 10.1007/s00259-022-05706-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Accepted: 01/23/2022] [Indexed: 02/06/2023]
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13
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Background parenchymal enhancement in contrast-enhanced MR imaging suggests systemic effects of intrauterine contraceptive devices. Eur Radiol 2022; 32:7430-7438. [PMID: 35524784 PMCID: PMC9668774 DOI: 10.1007/s00330-022-08809-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2021] [Revised: 04/03/2022] [Accepted: 04/13/2022] [Indexed: 01/03/2023]
Abstract
OBJECTIVES Levonorgestrel-releasing intrauterine contraceptive devices (LNG-IUDs) are designed to exhibit only local hormonal effects. There is an ongoing debate on whether LNG-IUDs can have side effects similar to systemic hormonal medication. Benign background parenchymal enhancement (BPE) in dynamic contrast-enhanced (DCE) MRI has been established as a sensitive marker of hormonal stimulation of the breast. We investigated the association between LNG-IUD use and BPE in breast MRI to further explore possible systemic effects of LNG-IUDs. METHODS Our hospital database was searched to identify premenopausal women without personal history of breast cancer, oophorectomy, and hormone replacement or antihormone therapy, who had undergone standardized DCE breast MRI at least twice, once with and without an LNG-IUD in place. To avoid confounding aging-related effects on BPE, half of included women had their first MRI without, the other half with, LNG-IUD in place. Degree of BPE was analyzed according to the ACR categories. Wilcoxon-matched-pairs signed-rank test was used to compare the distribution of ACR categories with vs. without LNG-IUD. RESULTS Forty-eight women (mean age, 46 years) were included. In 24/48 women (50% [95% CI: 35.9-64.1%]), ACR categories did not change with vs. without LNG-IUDs. In 23/48 women (48% [33.9-62.1%]), the ACR category was higher with vs. without LNG-IUDs; in 1/48 (2% [0-6%]), the ACR category was lower with vs. without LNG-IUDs. The change of ACR category depending on the presence or absence of an LNG-IUD proved highly significant (p < 0.001). CONCLUSION The use of an LNG-IUD can be associated with increased BPE in breast MRI, providing further evidence that LNG-IUDs do have systemic effects. KEY POINTS • The use of levonorgestrel-releasing intrauterine contraceptive devices is associated with increased background parenchymal enhancement in breast MRI. • This suggests that hormonal effects of these devices are not only confined to the uterine cavity, but may be systemic. • Potential systemic effects of levonorgestrel-releasing intrauterine contraceptive devices should therefore be considered.
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Bauer E, Levy MS, Domachevsky L, Anaby D, Nissan N. Background parenchymal enhancement and uptake as breast cancer imaging biomarkers: A state-of-the-art review. Clin Imaging 2021; 83:41-50. [PMID: 34953310 DOI: 10.1016/j.clinimag.2021.11.021] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Revised: 10/29/2021] [Accepted: 11/15/2021] [Indexed: 12/20/2022]
Abstract
Within the past decade, background parenchymal enhancement (BPE) and background parenchymal uptake (BPU) have emerged as novel imaging-derived biomarkers in the diagnosis and treatment monitoring of breast cancer. Growing evidence supports the role of breast parenchyma vascularity and metabolic activity as probable risk factors for breast cancer development. Furthermore, in the presence of a newly-diagnosed breast cancer, added clinically-relevant data was surprisingly found in the respective imaging properties of the non-affected contralateral breast. Evaluation of the contralateral BPE and BPU have been found to be especially instrumental in predicting the prognosis of a patient with breast cancer and even anticipating their response to neoadjuvant chemotherapy. Simultaneously, further research has found a link between these two biomarkers, even though they represent different physical properties. The aim of this review is to provide an up to date summary of the current clinical applications of BPE and BPU as breast cancer imaging biomarkers with the hope that it propels their further usage in clinical practice.
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Affiliation(s)
- Ethan Bauer
- Department of Radiology, Sheba Medical Center, Israel; Sackler School of Medicine, Tel Aviv University, Israel
| | - Miri Sklair Levy
- Department of Radiology, Sheba Medical Center, Israel; Sackler School of Medicine, Tel Aviv University, Israel
| | - Liran Domachevsky
- Department of Radiology, Sheba Medical Center, Israel; Sackler School of Medicine, Tel Aviv University, Israel
| | - Debbie Anaby
- Department of Radiology, Sheba Medical Center, Israel; Sackler School of Medicine, Tel Aviv University, Israel
| | - Noam Nissan
- Department of Radiology, Sheba Medical Center, Israel; Sackler School of Medicine, Tel Aviv University, Israel.
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15
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Dendl K, Koerber SA, Finck R, Mokoala KMG, Staudinger F, Schillings L, Heger U, Röhrich M, Kratochwil C, Sathekge M, Jäger D, Debus J, Haberkorn U, Giesel FL. 68Ga-FAPI-PET/CT in patients with various gynecological malignancies. Eur J Nucl Med Mol Imaging 2021; 48:4089-4100. [PMID: 34050777 PMCID: PMC8484099 DOI: 10.1007/s00259-021-05378-0] [Citation(s) in RCA: 87] [Impact Index Per Article: 29.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Accepted: 04/22/2021] [Indexed: 12/21/2022]
Abstract
PURPOSE 68Ga-FAPI (fibroblast activation protein inhibitor) is a novel and highly promising radiotracer for PET/CT imaging. The aim of this retrospective analysis is to explore the potential of FAPI-PET/CT in gynecological malignancies. We assessed biodistribution, tumor uptake, and the influence of pre- or postmenopausal status on tracer accumulation in hormone-sensitive organs. Furthermore, a comparison with the current standard oncological tracer 18F-FDG was performed in selected cases. PATIENTS AND METHODS A total of 31 patients (median age 59.5) from two centers with several gynecological tumors (breast cancer; ovarian cancer; cervical cancer; endometrial cancer; leiomyosarcoma of the uterus; tubal cancer) underwent 68Ga-FAPI-PET/CT. Out of 31 patients, 10 received an additional 18F-FDG scan within a median time interval of 12.5 days (range 1-76). Tracer uptake was quantified by standardized uptake values (SUV)max and (SUV)mean, and tumor-to-background ratio (TBR) was calculated (SUVmax tumor/ SUVmean organ). Moreover, a second cohort of 167 female patients with different malignancies was analyzed regarding their FAPI uptake in normal hormone-responsive organs: endometrium (n = 128), ovary (n = 64), and breast (n = 147). These patients were categorized by age as premenopausal (<35 years; n = 12), postmenopausal (>65 years; n = 68), and unknown menstrual status (35-65 years; n = 87), followed by an analysis of FAPI uptake of the pre- and postmenopausal group. RESULTS In 8 out of 31 patients, the primary tumor was present, and all 31 patients showed lesions suspicious for metastasis (n = 81) demonstrating a high mean SUVmax in both the primary (SUVmax 11.6) and metastatic lesions (SUVmax 9.7). TBR was significantly higher in 68Ga-FAPI compared to 18F-FDG for distant metastases (13.0 vs. 5.7; p = 0.047) and by trend for regional lymph node metastases (31.9 vs 27.3; p = 0.6). Biodistribution of 68Ga-FAPI-PET/CT presented significantly lower uptake or no significant differences in 15 out of 16 organs, compared to 18F-FDG-PET/CT. The highest uptake of all primary lesions was obtained in endometrial carcinomas (mean SUVmax 18.4), followed by cervical carcinomas (mean SUVmax 15.22). In the second cohort, uptake in premenopausal patients differed significantly from postmenopausal patients in endometrium (11.7 vs 3.9; p < 0.0001) and breast (1.8 vs 1.0; p = 0.004), whereas no significant difference concerning ovaries (2.8 vs 1.6; p = 0.141) was observed. CONCLUSION Due to high tracer uptake resulting in sharp contrasts in primary and metastatic lesions and higher TBRs than 18F-FDG-PET/CT, 68Ga-FAPI-PET/CT presents a promising imaging method for staging and follow-up of gynecological tumors. The presence or absence of the menstrual cycle seems to correlate with FAPI accumulation in the normal endometrium and breast. This first investigation of FAP ligands in gynecological tumor entities supports clinical application and further research in this field.
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Affiliation(s)
- Katharina Dendl
- Department of Nuclear Medicine, Heidelberg University Hospital, Heidelberg, Germany
| | - Stefan A Koerber
- Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany
- Heidelberg Institute of Radiation Oncology (HIRO), Heidelberg, Germany
- National Center for Tumor diseases (NCT), Heidelberg, Germany
| | - Rebecca Finck
- Department of Nuclear Medicine, Heidelberg University Hospital, Heidelberg, Germany
| | - Kgomotso M G Mokoala
- Department of Nuclear Medicine, University of Pretoria & Steve Biko Academic Hospital, Private Bag X169, Pretoria, 0001, South Africa
| | - Fabian Staudinger
- Department of Nuclear Medicine, Heidelberg University Hospital, Heidelberg, Germany
| | - Lisa Schillings
- Department of General, Visceral and Transplantation Surgery, University of Heidelberg, Heidelberg, Germany
| | - Ulrike Heger
- Department of General, Visceral and Transplantation Surgery, University of Heidelberg, Heidelberg, Germany
| | - Manuel Röhrich
- Department of Nuclear Medicine, Heidelberg University Hospital, Heidelberg, Germany
| | - Clemens Kratochwil
- Department of Nuclear Medicine, Heidelberg University Hospital, Heidelberg, Germany
| | - Mike Sathekge
- Department of Nuclear Medicine, University of Pretoria & Steve Biko Academic Hospital, Private Bag X169, Pretoria, 0001, South Africa
| | - Dirk Jäger
- Department of Medical Oncology, Heidelberg University Hospital and National Center for Tumor Diseases (NCT), Heidelberg, Germany
| | - Jürgen Debus
- Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany
- Heidelberg Institute of Radiation Oncology (HIRO), Heidelberg, Germany
- National Center for Tumor diseases (NCT), Heidelberg, Germany
- Heidelberg Ion-Beam Therapy Center (HIT), Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany
- German Cancer Consortium (DKTK), partner site, Heidelberg, Germany
- Clinical Cooperation Unit Radiation Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Uwe Haberkorn
- Department of Nuclear Medicine, Heidelberg University Hospital, Heidelberg, Germany
- German Cancer Consortium (DKTK), partner site, Heidelberg, Germany
- Clinical Cooperation Unit Nuclear Medicine, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Translational Lung Research Center Heidelberg (TLRC), German Center for Lung Research (DZL), Heidelberg, Germany
| | - Frederik L Giesel
- Department of Nuclear Medicine, Heidelberg University Hospital, Heidelberg, Germany.
- German Cancer Consortium (DKTK), partner site, Heidelberg, Germany.
- Clinical Cooperation Unit Nuclear Medicine, German Cancer Research Center (DKFZ), Heidelberg, Germany.
- Department of Nuclear Medicine, University Hospital Duesseldorf, Duesseldorf, Germany.
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16
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Pontello J, Roxo AC, Abreu ML, Torezani R, Pamplona D. Relation Between Post-Augmentation Parenchymal Atrophy and Local Tissue Pressure. Aesthet Surg J 2021; 41:NP1486-NP1495. [PMID: 34096996 DOI: 10.1093/asj/sjab242] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Breast parenchyma interacts dynamically with an inserted implant, which may lead to local atrophy and sensory involvement, changes in vascular tissue and lactation, and volume reduction over time. The inversely proportional relationship between pressure and volume cannot be stated with certainty; that is, the larger implants having more local pressure would lead to compression, thus leading to atrophy of parenchyma more intensely compared with smaller implants. The objective of this study was to assess and list breast parenchyma volume changes with different pressure levels due to silicone implants of several sizes. OBJECTIVES The authors sought to list the pressure exerted by silicone implants and the atrophy caused in the breast tissue. METHODS Thirty-six women were placed in 3 groups (n = 12) and subjected to augmentation mammoplasty in the subglandular plane. The measurement of pressure in millimeters of mercury was conducted with help of molds with the same base and projection of implants introduced posteriorly. MRI was conducted in all participants in the preoperative period and at 6 and 12 months after surgery. RESULTS Twelve months after breast implant insertion, the groups had a significant glandular volume reduction (mean, 12.97% in the right breast and 12.42% in the left breast). There was a statistically significant difference in the proportions of volume reduction and the pressure levels measured. CONCLUSIONS A reduction in breast volume was verified. This reduction was also related to the level of pressure exerted on the implant. LEVEL OF EVIDENCE: 3
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Affiliation(s)
- João Pontello
- Division of Plastic Surgery, Rio de Janeiro State University, Rio de Janeiro, Brazil
| | - Ana Claudia Roxo
- Division of Plastic Surgery, Rio de Janeiro State University, Rio de Janeiro, Brazil
| | - Maria Lidia Abreu
- Division of Plastic Surgery, Rio de Janeiro State University, Rio de Janeiro, Brazil
| | - Rodrigo Torezani
- Division of Radiology, Rio de Janeiro State University, Rio de Janeiro, Brazil
| | - Djenane Pamplona
- Division of Mechanical Engineering PUC RIO, Rio de Janeiro, Brazil
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You C, Zhang Y, Chen Y, Hu X, Hu D, Wu J, Gu Y, Peng W. Evaluation of Background Parenchymal Enhancement and Histogram-Based Diffusion-Weighted Image in Determining the Molecular Subtype of Breast Cancer. J Comput Assist Tomogr 2021; 45:711-716. [PMID: 34546678 DOI: 10.1097/rct.0000000000001239] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
RATIONALE AND OBJECTIVES This study aimed to evaluate the value of background parenchymal enhancement (BPE) and diffusion-weighted image (DWI) histogram features in differentiating among different molecular subtypes of breast cancers and investigate the relationship between BPE and DWI features. MATERIALS AND METHODS We prospectively enrolled 142 patients with breast cancer between January and November 2018. All patients underwent breast magnetic resonance imaging before core needle biopsy. The quantitative BPE from dynamic enhanced images and the first-order histogram features extracted from DWI were analyzed. Univariate analysis of variance was used to compare differences in DWI histogram features and BPE characteristics among different molecular subtypes. Spearman test was used to compare the correlation between these imaging indexes. RESULTS A total of 142 patients had 142 lesions, including 17 cases of triple-negative breast cancer, 12 cases of luminal A type breast cancer, 39 cases of luminal B type breast cancer, and 74 cases of human epidermal growth factor receptor 2-positive breast cancer. The apparent diffusion coefficient (ADC) 95th percentile, ADC kurtosis, and BPE were significantly different among 4 subtype groups (P < 0.05), especially between the triple-negative subtype and any other subtype (P < 0.05 in pairwise comparisons). There was a weak but significant correlation between BPE and kurtosis of ADC (r = -0.176, P = 0.036). CONCLUSIONS Diffusion-weighted image histogram features (95th percentile ADC value and kurtosis value of ADC) and BPE features were different in the 4 molecular subtypes of breast cancer, especially in the triple-negative breast cancer subtype. Background parenchymal enhancement was negatively correlated with the kurtosis value of ADC.
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Affiliation(s)
- Chao You
- From the Department of Radiology, Fudan University Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University
| | - Yunyan Zhang
- Department of Radiology, Shanghai Proton and Heavy Ion Center
| | - Yanqiong Chen
- From the Department of Radiology, Fudan University Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University
| | - Xiaoxin Hu
- From the Department of Radiology, Fudan University Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University
| | - Danting Hu
- From the Department of Radiology, Fudan University Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University
| | - Jiong Wu
- Department of Breast Surgery, Fudan University Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, PR China
| | - Yajia Gu
- From the Department of Radiology, Fudan University Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University
| | - Weijun Peng
- From the Department of Radiology, Fudan University Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University
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Marzocca F, Moffa G, Landi VN, Panzironi G, Kirchin MA, Pediconi F, Galati F. Gadoteridol-enhanced MRI of the breast: can contrast agent injection rate impact background parenchymal enhancement? Acta Radiol 2021; 63:1173-1179. [PMID: 34323589 DOI: 10.1177/02841851211034038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
BACKGROUND Normal background parenchymal enhancement (BPE) is a dynamic parameter affected by multiple factors. PURPOSE To determine whether contrast agent injection rate affects the degree of BPE in women undergoing breast magnetic resonance imaging (MRI). MATERIAL AND METHODS A total of 85 patients included in our prospective study randomly received 0.1 mmol/kg gadoteridol at a rate of 3 mL/s (group A; n = 46) or 2 mL/s (group B; n = 39). Breast MRI was performed at 3T using a standard protocol including postcontrast axial 3D GRE T1-weighted sequences. Two expert breast radiologists, blinded to clinical and radiological information, independently quantified BPE on early postcontrast subtracted images, assigning a score of 1-4. Mean comparison and regression analysis were performed to assess the influence of injection rate on BPE. RESULTS Groups were homogeneous in terms of age and final BI-RADS score. The mean BPE score was significantly lower among patients in group A (mean of two readers: 1.36 vs. 1.90; P < 0.01) with 70%-72% of patients assigned a BPE score of 1, compared with 36%-38% of patients in group B. Lower BPE scores were noted with the higher flow rate in subgroup analyses of both pre- and postmenopausal women, although the effect was more evident in premenopausal women. Regression analysis confirmed that the likelihood of a BPE 1 score was significantly increased with a higher flow rate (P < 0.01). The inter-reader agreement was excellent (0.83). CONCLUSION A higher contrast agent injection flow rate (3 mL/s) during breast MRI significantly reduces the degree of BPE, potentially allowing improved diagnostic accuracy by reducing false-positive and false-negative findings.
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Affiliation(s)
- Flaminia Marzocca
- Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Sapienza University of Rome, Rome, Italy
| | - Giuliana Moffa
- Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Sapienza University of Rome, Rome, Italy
| | | | - Giovanna Panzironi
- Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Sapienza University of Rome, Rome, Italy
| | | | - Federica Pediconi
- Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Sapienza University of Rome, Rome, Italy
| | - Francesca Galati
- Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Sapienza University of Rome, Rome, Italy
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19
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Wang LJ, Zhang Y, Wu HB. Intense Diffuse Uptake of 68Ga-FAPI-04 in the Breasts Found by PET/CT in a Patient With Advanced Nasopharyngeal Carcinoma. Clin Nucl Med 2021; 46:e293-e295. [PMID: 33351506 DOI: 10.1097/rlu.0000000000003487] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
ABSTRACT The physiological uptake of 68Ga-FAPI-04 due to the change of the internal environment is little known. We report the case of a 45-year-old woman who was highly suspected to have advanced nasopharyngeal carcinoma. 18F-FDG and 68Ga-FAPI-04 PET/CT was performed for evaluating the disease. Both PET and CT with different tracers detected the primary nasopharyngeal carcinoma and metastases in right neck lymph nodes, liver, and bones. To our surprise, intense diffuse uptake of 68Ga-FAPI-04 was found in both breasts, which might be due to the hormone stimulation because the patient received 68Ga-FAPi-04 PET/CT just at the period of ovulation.
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Affiliation(s)
- Li-Juan Wang
- From the PET Center, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
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20
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Zhang M, Sadinski M, Haddad D, Bae MS, Martinez D, Morris EA, Gibbs P, Sutton EJ. Background Parenchymal Enhancement on Breast MRI as a Prognostic Surrogate: Correlation With Breast Cancer Oncotype Dx Score. Front Oncol 2021; 10:595820. [PMID: 33614481 PMCID: PMC7890019 DOI: 10.3389/fonc.2020.595820] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2020] [Accepted: 12/11/2020] [Indexed: 12/11/2022] Open
Abstract
Purpose Breast MRI background parenchymal enhancement (BPE) can potentially serve as a prognostic marker, by possible correlation with molecular subtype. Oncotype Dx, a gene assay, is a prognostic and predictive surrogate for tumor aggressiveness and treatment response. The purpose of this study was to investigate the association between contralateral non-tumor breast magnetic resonance imaging (MRI) background parenchymal enhancement and tumor oncotype score. Methods In this retrospective study, patients with ER+ and HER2− early stage invasive ductal carcinoma who underwent preoperative breast MRI, oncotype risk scoring, and breast conservation surgery from 2008–2010 were identified. After registration, BPE from the pre and three post-contrast phases was automatically extracted using a k-means clustering algorithm. Four metrics were calculated: initial enhancement (IE) relative to the pre-contrast signal, late enhancement, overall enhancement (OE), and area under the enhancement curve (AUC). Histogram analysis was performed to determine first order metrics which were compared to oncotype risk score groups using Mann–Whitney tests and Spearman rank correlation analysis. Results This study included 80 women (mean age = 51.1 ± 10.3 years); 46 women were categorized as low risk (≤17) and 34 women were categorized as intermediate/high risk (≥18) according to Oncotype Dx. For the mean of the top 10% pixels, significant differences were noted for IE (p = 0.032), OE (p = 0.049), and AUC (p = 0.044). Using the risk score as a continuous variable, correlation analysis revealed a weak but significant correlation with the mean of the top 10% pixels for IE (r = 0.26, p = 0.02), OE (r = 0.25, p = 0.02), and AUC (r = 0.27, p = 0.02). Conclusion BPE metrics of enhancement in the non-tumor breast are associated with tumor Oncotype Dx recurrence score, suggesting that the breast microenvironment may relate to likelihood of recurrence and magnitude of chemotherapy benefit.
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Affiliation(s)
- Michelle Zhang
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States.,Department of Radiology, McGill University, Montreal, QC, Canada
| | - Meredith Sadinski
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Dana Haddad
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States.,Department of Radiology, Montefiore, New York, NY, United States.,Department of Radiology, Mediclinic Middle East, Dubai, United Arab Emirates.,College of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai, United Arab Emirates
| | - Min Sun Bae
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States.,Department of Radiology, Seoul National University Hospital, Seoul, South Korea
| | - Danny Martinez
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Elizabeth A Morris
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Peter Gibbs
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Elizabeth J Sutton
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States
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21
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Physiological FAP-activation in a postpartum woman observed in oncological FAPI-PET/CT. Eur J Nucl Med Mol Imaging 2021; 48:2059-2061. [PMID: 33543324 PMCID: PMC8113280 DOI: 10.1007/s00259-021-05203-8] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2020] [Accepted: 01/13/2021] [Indexed: 01/27/2023]
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22
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68Ga-FAPi-46 diffuse bilateral breast uptake in a patient with cervical cancer after hormonal stimulation. Eur J Nucl Med Mol Imaging 2020; 48:924-926. [PMID: 32651662 DOI: 10.1007/s00259-020-04947-z] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2020] [Accepted: 06/29/2020] [Indexed: 10/23/2022]
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Rella R, Bufi E, Belli P, Petta F, Serra T, Masiello V, Scrofani AR, Barone R, Orlandi A, Valentini V, Manfredi R. Association between background parenchymal enhancement and tumor response in patients with breast cancer receiving neoadjuvant chemotherapy. Diagn Interv Imaging 2020; 101:649-655. [PMID: 32654985 DOI: 10.1016/j.diii.2020.05.010] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2020] [Revised: 05/21/2020] [Accepted: 05/27/2020] [Indexed: 12/12/2022]
Abstract
PURPOSE To analyze the relationships between background parenchymal enhancement (BPE) of the contralateral healthy breast and tumor response after neoadjuvant chemotherapy (NAC) in women with breast cancer. MATERIALS AND METHODS A total of 228 women (mean age, 47.6 years±10 [SD]; range: 24-74 years) with invasive breast cancer who underwent NAC were included. All patients underwent breast magnetic resonance imaging (MRI) before and after NAC and 127 patients underwent MRI before, during (after the 4th cycle of NAC) and after NAC. Quantitative semi-automated analysis of BPE of the contralateral healthy breast was performed. Enhancement level on baseline MRI (baseline BPE) and MRI after chemotherapy (final BPE), change in enhancement rate between baseline MRI and final MRI (total BPE change) and between baseline MRI and midline MRI (early BPE change) were recorded. Associations between BPE and tumor response, menopausal status, tumor phenotype, NAC type and tumor stage at diagnosis were searched for. Pathologic complete response (pCR) was defined as the absence of residual invasive cancer cells in the breast and ipsilateral lymph nodes. RESULTS No differences were found in baseline BPE, final BPE, early and total BPE changes between pCR and non-pCR groups. Early BPE change was higher in non-pCR group in patients with stages 3 and 4 breast cancers (P=0.019) and in human epidermal growth factor receptor 2 (HER2)-negative patients (P=0.020). CONCLUSION Early reduction of BPE in the contralateral breast during NAC may be an early predictor of loss of tumor response, showing potential as an imaging biomarker of treatment response, especially in women with stages 3 or 4 breast cancers and in HER2 - negative breast cancers.
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Affiliation(s)
- R Rella
- UOC di Diagnostica per Immagini ed Interventistica Generale, Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy
| | - E Bufi
- UOC di Diagnostica per Immagini ed Interventistica Generale, Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy.
| | - P Belli
- UOC di Diagnostica per Immagini ed Interventistica Generale, Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy; Università Cattolica Sacro Cuore, 00168 Rome, Italy
| | - F Petta
- UOC di Diagnostica per Immagini ed Interventistica Generale, Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy; Università Cattolica Sacro Cuore, 00168 Rome, Italy
| | - T Serra
- UOC di Diagnostica per Immagini ed Interventistica Generale, Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy; Università Cattolica Sacro Cuore, 00168 Rome, Italy
| | - V Masiello
- UOC di Radioterapia Oncologica, Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy
| | - A R Scrofani
- UOC di Diagnostica per Immagini ed Interventistica Generale, Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy; Università Cattolica Sacro Cuore, 00168 Rome, Italy
| | - R Barone
- UOC di Radioterapia Oncologica, Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy
| | - A Orlandi
- U.O.C Oncologia Medica, Dipartimento di Scienze Gastroenterologiche, Endocrino-Metaboliche e Nefro-Urologiche, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, 00168 Rome, Italy
| | - V Valentini
- UOC di Radioterapia Oncologica, Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy
| | - R Manfredi
- UOC di Diagnostica per Immagini ed Interventistica Generale, Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy; Università Cattolica Sacro Cuore, 00168 Rome, Italy
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Africano G, Arponen O, Sassi A, Karivaara-Makela M, Holli-Helenius K, Rinta-Kiikka I, Laaperi AL, Pertuz S. A Comparison of Regions of Interest in Parenchymal Analysis for Breast Cancer Risk Assessment. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2020; 2020:1136-1139. [PMID: 33018187 DOI: 10.1109/embc44109.2020.9176200] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Computerized parenchymal analysis has shown potential to be utilized as an imaging biomarker to estimate the risk of breast cancer. Parenchymal analysis of digital mammograms is based on the extraction of computerized measures to build machine learning-based models for the prediction of breast cancer risk. However, the choice of the region of interest (ROI) for feature extraction within the breast remains an open problem. In this work we perform a comparison between five different methods suggested in the literature for automated ROI selection, including the whole breast (WB), the maximum squared (MS), the retro-areolar region (RA), the lattice-based (LB), and the polar-based (PB) selection methods. For the experiments, we built a retrospective dataset of 896 screening mammograms from 224 women (112 cases and 112 healthy controls). The performance of each ROI selection method was measured in terms of the area under the curve (AUC) values. The AUC values varied between 0.55 and 0.79 depending on the method and experimental settings. The best performance on an independent test set was achieved by the MS method (AUC of 0.59, 95% CI: 0.55-0.64). This method is fully-automated and does not require adjusting hyper-parameters. Based on our results, we prompt the use of the MS method for ROI selection in the computerized parenchymal analysis for breast cancer risk assessment.
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Sindi R, Wong YH, Yeong CH, Sun Z. Development of patient-specific 3D-printed breast phantom using silicone and peanut oils for magnetic resonance imaging. Quant Imaging Med Surg 2020; 10:1237-1248. [PMID: 32550133 DOI: 10.21037/qims-20-251] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Background Despite increasing reports of 3D printing in medical applications, the use of 3D printing in breast imaging is limited, thus, personalized 3D-printed breast model could be a novel approach to overcome current limitations in utilizing breast magnetic resonance imaging (MRI) for quantitative assessment of breast density. The aim of this study is to develop a patient-specific 3D-printed breast phantom and to identify the most appropriate materials for simulating the MR imaging characteristics of fibroglandular and adipose tissues. Methods A patient-specific 3D-printed breast model was generated using 3D-printing techniques for the construction of the hollow skin and fibroglandular region shells. Then, the T1 relaxation times of the five selected materials (agarose gel, silicone rubber with/without fish oil, silicone oil, and peanut oil) were measured on a 3T MRI system to determine the appropriate ones to represent the MR imaging characteristics of fibroglandular and adipose tissues. Results were then compared to the reference values of T1 relaxation times of the corresponding tissues: 1,324.42±167.63 and 449.27±26.09 ms, respectively. Finally, the materials that matched the T1 relaxation times of the respective tissues were used to fill the 3D-printed hollow breast shells. Results The silicone and peanut oils were found to closely resemble the T1 relaxation times and imaging characteristics of these two tissues, which are 1,515.8±105.5 and 405.4±15.1 ms, respectively. The agarose gel with different concentrations, ranging from 0.5 to 2.5 wt%, was found to have the longest T1 relaxation times. Conclusions A patient-specific 3D-printed breast phantom was successfully designed and constructed using silicone and peanut oils to simulate the MR imaging characteristics of fibroglandular and adipose tissues. The phantom can be used to investigate different MR breast imaging protocols for the quantitative assessment of breast density.
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Affiliation(s)
- Rooa Sindi
- Discipline of Medical Radiation Sciences, School of Molecular and Life Sciences, Curtin University, Perth, WA, Australia.,Radio-diagnostic and Medical Imaging Department, Medical Physics Section, King Fahd Armed Forces Hospital, Jeddah, Kingdom of Saudi Arabia
| | - Yin How Wong
- School of Medicine, Faculty of Health and Medical Sciences, Taylor's University, Subang Jaya, Selangor, Malaysia
| | - Chai Hong Yeong
- School of Medicine, Faculty of Health and Medical Sciences, Taylor's University, Subang Jaya, Selangor, Malaysia
| | - Zhonghua Sun
- Discipline of Medical Radiation Sciences, School of Molecular and Life Sciences, Curtin University, Perth, WA, Australia
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Relationship Between Breast Ultrasound Background Echotexture and Magnetic Resonance Imaging Background Parenchymal Enhancement and the Effect of Hormonal Status Thereon. Ultrasound Q 2020; 36:179-191. [PMID: 32511210 DOI: 10.1097/ruq.0000000000000487] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
We studied the relationship between breast ultrasound background echotexture (BET) and magnetic resonance imaging (MRI) background parenchymal enhancement (BPE) and whether this relationship varied with hormonal status and amount of fibroglandular tissue (FGT) on MRI. Two hundred eighty-three Korean women (52.1 years; range = 27-79 years) with newly diagnosed primary breast cancer who underwent preoperative breast ultrasound and MRI were retrospectively studied. Background echotexture, BPE, and FGT were classified into 4 categories, and age, menopausal status, menstrual cycle regularity, and menstrual cycle stage at MRI were recorded. Background echotexture and BPE relationship was assessed overall, and in menopausal, FGT, menstrual cycle regularity, and menstrual cycle stage subgroups. Background echotexture and BPE correlated in women overall, and menopausal, FGT, and menstrual cycle subgroups and those in the first half of the cycle (all P < 0.001). Background echotexture reflects BPE, regardless of menopausal status, menstrual cycle regularity, and FGT and may be a biomarker of breast cancer risk.
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Mema E, Schnabel F, Chun J, Kaplowitz E, Price A, Goodgal J, Moy L. The relationship of breast density in mammography and magnetic resonance imaging in women with triple negative breast cancer. Eur J Radiol 2020; 124:108813. [PMID: 31927471 DOI: 10.1016/j.ejrad.2020.108813] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2019] [Revised: 11/08/2019] [Accepted: 12/30/2019] [Indexed: 10/25/2022]
Abstract
PURPOSE To evaluate the relationship between mammographic density, background parenchymal enhancement and fibroglandular tissue on MRI in women with triple negative breast cancer (TNBC) compared to women with non-triple negative breast cancer (non-TNBC). METHODS The institutional Breast Cancer Database was queried to identify the clinicopathologic and imaging characteristics among women who underwent mammography and breast MRI between 2010-2018. Statistical analyses included Pearson's Chi Square, Wilcoxon Rank-Sum and logistic regression. RESULTS Of 2995 women, 225 (7.5 %) had TNBC with a median age of 60 years (23-96) and median follow-up of 5.69 years. Compared to women with non-TNBC, TNBC was associated with African-American race 36/225 (16 %), BRCA1,2 positivity 34/225 (15.1 %), previous history of breast cancer 35/225 (15.6 %), presenting on breast exam 126/225 (56 %) or MRI 13/225 (5.8 %), palpability 133/225 (59.1 %), more invasive ductal carcinoma (IDC) 208/225 (92.4 %), higher stage (stage III) 37/225 (16.5 %), higher grade (grade 3) 186/225 (82.7 %) (all p < 0.001), lower mammographic breast density (MBD) 18/225 (8 %) (p = 0.04), lower fibroglandular tissue (FGT) 17/225 (7.6 %) (p = 0.01), and lower background parenchymal enhancement (BPE) 89/225 (39.8 %) (p = 0.02). Nine of 225 (4 %) women with TNBC experienced recurrence with no significant association with MBD, FGT, or BPE. There was no significant difference in median age of our TNBC and non-TNBC cohorts. CONCLUSIONS The higher proportion of women with lower MBD, FGT and BPE in women with TNBC suggests that MBD, amount of FGT and degree of BPE may be associated with breast cancer risk in women with TNBC.
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Affiliation(s)
- Eralda Mema
- Weill Cornell Medical Center, New York Presbyterian Hospital, Department of Radiology, United States; New York University Langone Medical Center, Department of Population Health, Division of Biostatistics, United States.
| | - Freya Schnabel
- New York University Langone Medical Center, Department of Surgery, Division of Breast Surgery, United States; New York University Langone Medical Center, Department of Population Health, Division of Biostatistics, United States
| | - Jennifer Chun
- New York University Langone Medical Center, Department of Surgery, Division of Breast Surgery, United States; New York University Langone Medical Center, Department of Population Health, Division of Biostatistics, United States
| | - Elianna Kaplowitz
- New York University Langone Medical Center, Department of Surgery, Division of Breast Surgery, United States; New York University Langone Medical Center, Department of Population Health, Division of Biostatistics, United States
| | - Alison Price
- New York University Langone Medical Center, Department of Surgery, Division of Breast Surgery, United States; New York University Langone Medical Center, Department of Population Health, Division of Biostatistics, United States
| | - Jenny Goodgal
- New York University Langone Medical Center, Department of Surgery, Division of Breast Surgery, United States; New York University Langone Medical Center, Department of Population Health, Division of Biostatistics, United States
| | - Linda Moy
- New York University Langone Medical Center, Department of Radiology, United States; New York University, Center for Advanced Imaging Innovation and Research, United States; New York University Langone Medical Center, Department of Population Health, Division of Biostatistics, United States
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Negrão de Figueiredo G, Ingrisch M, Fallenberg EM. Digital Analysis in Breast Imaging. Breast Care (Basel) 2019; 14:142-150. [PMID: 31316312 DOI: 10.1159/000501099] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2019] [Accepted: 05/21/2019] [Indexed: 01/02/2023] Open
Abstract
Breast imaging is a multimodal approach that plays an essential role in the diagnosis of breast cancer. Mammography, sonography, magnetic resonance, and image-guided biopsy are imaging techniques used to search for malignant changes in the breast or precursors of malignant changes in, e.g., screening programs or follow-ups after breast cancer treatment. However, these methods still have some disadvantages such as interobserver variability and the mammography sensitivity in women with radiologically dense breasts. In order to overcome these difficulties and decrease the number of false positive findings, improvements in imaging analysis with the help of artificial intelligence are constantly being developed and tested. In addition, the extraction and correlation of imaging features with special tumor characteristics and genetics of the patients in order to get more information about treatment response, prognosis, and also cancer risk are coming more and more in focus. The aim of this review is to address recent developments in digital analysis of images and demonstrate their potential value in multimodal breast imaging.
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Affiliation(s)
| | - Michael Ingrisch
- Department of Radiology, Ludwig Maximilian University of Munich - Grosshadern Campus, Munich, Germany
| | - Eva Maria Fallenberg
- Department of Radiology, Ludwig Maximilian University of Munich - Grosshadern Campus, Munich, Germany
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Mann RM, Pinker K. Is Background Parenchymal Enhancement an Important Risk Factor for Breast Cancer Development in Women with Increased Risk? Radiology 2019; 292:562-563. [PMID: 31237810 DOI: 10.1148/radiol.2019191164] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Affiliation(s)
- Ritse M Mann
- From the Department of Radiology and Nuclear Medicine, Radboud University Medical Centre, Nijmegen, the Netherlands (R.M.M.); Department of Radiology, Netherlands Cancer Institute, Amsterdam, the Netherlands (R.M.M.); Department of Radiology, Breast Imaging Service, Memorial Sloan-Kettering Cancer Center, New York, NY (K.P.); and Department of Biomedical Imaging and Image-guided Therapy, Division of Molecular and Gender Imaging, Medical University of Vienna, Vienna, Austria (K.P.)
| | - Katja Pinker
- From the Department of Radiology and Nuclear Medicine, Radboud University Medical Centre, Nijmegen, the Netherlands (R.M.M.); Department of Radiology, Netherlands Cancer Institute, Amsterdam, the Netherlands (R.M.M.); Department of Radiology, Breast Imaging Service, Memorial Sloan-Kettering Cancer Center, New York, NY (K.P.); and Department of Biomedical Imaging and Image-guided Therapy, Division of Molecular and Gender Imaging, Medical University of Vienna, Vienna, Austria (K.P.)
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Thompson CM, Mallawaarachchi I, Dwivedi DK, Ayyappan AP, Shokar NK, Lakshmanaswamy R, Dwivedi AK. The Association of Background Parenchymal Enhancement at Breast MRI with Breast Cancer: A Systematic Review and Meta-Analysis. Radiology 2019; 292:552-561. [PMID: 31237494 DOI: 10.1148/radiol.2019182441] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
BackgroundThe higher level of background parenchymal enhancement (BPE) at breast MRI has the potential for early detection and prediction of the risk of breast cancer. However, conflicting findings have been reported about the association between the level of BPE at breast MRI and the presence of breast cancer.PurposeTo evaluate the association between qualitative and quantitative BPE at dynamic contrast material-enhanced MRI and breast cancer among populations with average risk and high risk separately.Materials and MethodsA retrospective meta-analysis of observational studies comparing either qualitative or quantitative assessments of BPE in women with and women without breast cancer was performed for studies published through July 2018. Pooled odds ratios (ORs) or standardized mean differences and 95% confidence intervals (CIs) were estimated by using DerSimonian-Laird random-effects models. The heterogeneity across the studies was measured by using the statistic I 2. Sensitivity analyses were conducted to test this association according to different study characteristics. P values less than or equal to 5% were considered to indicate statistically significant results.ResultsEighteen studies comprising 1910 women with breast cancer and 2541 control participants were included in the analysis. Among women with high risk, at least moderate BPE (OR, 1.6; 95% CI: 1.0, 2.6; P = .04) or at least mild BPE (OR, 2.1; 95% CI: 1.5, 3.0; P < .001) was associated with higher odds of breast cancer. Furthermore, women with breast cancer showed a higher average BPE percentage compared with control participants with high risk (standardized mean difference, 0.5; 95% CI: 0.2, 0.9; P = .001). No association was observed between at least mild BPE level (P = .15) or at least moderate BPE level (P = .38) and the presence of breast cancer among the population with average risk.ConclusionA higher level of background parenchymal enhancement measured at breast MRI is associated with the presence of breast cancer in women with high risk, but not in women with average risk.© RSNA, 2019Online supplemental material is available for this article.See also the editorial by Mann and Pinker in this issue.
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Affiliation(s)
- Christopher M Thompson
- From the Graduate School of Biomedical Sciences (C.M.T., R.L.), Office of Research Resources, Biostatistics and Epidemiology Consulting Laboratory (I.M.), Department of Radiology, Paul L. Foster School of Medicine (A.P.A.), Department of Family Medicine, Paul L. Foster School of Medicine (N.K.S.), and Division of Biostatistics and Epidemiology, Department of Molecular and Translational Medicine, Paul L. Foster School of Medicine (A.K.D.), Texas Tech University Health Sciences Center El Paso, 5001 El Paso Dr, El Paso, Tex 79905; Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (D.K.D.); and Department of Radiodiagnosis, King George's Medical University, Lucknow, India (D.K.D.)
| | - Indika Mallawaarachchi
- From the Graduate School of Biomedical Sciences (C.M.T., R.L.), Office of Research Resources, Biostatistics and Epidemiology Consulting Laboratory (I.M.), Department of Radiology, Paul L. Foster School of Medicine (A.P.A.), Department of Family Medicine, Paul L. Foster School of Medicine (N.K.S.), and Division of Biostatistics and Epidemiology, Department of Molecular and Translational Medicine, Paul L. Foster School of Medicine (A.K.D.), Texas Tech University Health Sciences Center El Paso, 5001 El Paso Dr, El Paso, Tex 79905; Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (D.K.D.); and Department of Radiodiagnosis, King George's Medical University, Lucknow, India (D.K.D.)
| | - Durgesh K Dwivedi
- From the Graduate School of Biomedical Sciences (C.M.T., R.L.), Office of Research Resources, Biostatistics and Epidemiology Consulting Laboratory (I.M.), Department of Radiology, Paul L. Foster School of Medicine (A.P.A.), Department of Family Medicine, Paul L. Foster School of Medicine (N.K.S.), and Division of Biostatistics and Epidemiology, Department of Molecular and Translational Medicine, Paul L. Foster School of Medicine (A.K.D.), Texas Tech University Health Sciences Center El Paso, 5001 El Paso Dr, El Paso, Tex 79905; Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (D.K.D.); and Department of Radiodiagnosis, King George's Medical University, Lucknow, India (D.K.D.)
| | - Anoop P Ayyappan
- From the Graduate School of Biomedical Sciences (C.M.T., R.L.), Office of Research Resources, Biostatistics and Epidemiology Consulting Laboratory (I.M.), Department of Radiology, Paul L. Foster School of Medicine (A.P.A.), Department of Family Medicine, Paul L. Foster School of Medicine (N.K.S.), and Division of Biostatistics and Epidemiology, Department of Molecular and Translational Medicine, Paul L. Foster School of Medicine (A.K.D.), Texas Tech University Health Sciences Center El Paso, 5001 El Paso Dr, El Paso, Tex 79905; Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (D.K.D.); and Department of Radiodiagnosis, King George's Medical University, Lucknow, India (D.K.D.)
| | - Navkiran K Shokar
- From the Graduate School of Biomedical Sciences (C.M.T., R.L.), Office of Research Resources, Biostatistics and Epidemiology Consulting Laboratory (I.M.), Department of Radiology, Paul L. Foster School of Medicine (A.P.A.), Department of Family Medicine, Paul L. Foster School of Medicine (N.K.S.), and Division of Biostatistics and Epidemiology, Department of Molecular and Translational Medicine, Paul L. Foster School of Medicine (A.K.D.), Texas Tech University Health Sciences Center El Paso, 5001 El Paso Dr, El Paso, Tex 79905; Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (D.K.D.); and Department of Radiodiagnosis, King George's Medical University, Lucknow, India (D.K.D.)
| | - Rajkumar Lakshmanaswamy
- From the Graduate School of Biomedical Sciences (C.M.T., R.L.), Office of Research Resources, Biostatistics and Epidemiology Consulting Laboratory (I.M.), Department of Radiology, Paul L. Foster School of Medicine (A.P.A.), Department of Family Medicine, Paul L. Foster School of Medicine (N.K.S.), and Division of Biostatistics and Epidemiology, Department of Molecular and Translational Medicine, Paul L. Foster School of Medicine (A.K.D.), Texas Tech University Health Sciences Center El Paso, 5001 El Paso Dr, El Paso, Tex 79905; Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (D.K.D.); and Department of Radiodiagnosis, King George's Medical University, Lucknow, India (D.K.D.)
| | - Alok K Dwivedi
- From the Graduate School of Biomedical Sciences (C.M.T., R.L.), Office of Research Resources, Biostatistics and Epidemiology Consulting Laboratory (I.M.), Department of Radiology, Paul L. Foster School of Medicine (A.P.A.), Department of Family Medicine, Paul L. Foster School of Medicine (N.K.S.), and Division of Biostatistics and Epidemiology, Department of Molecular and Translational Medicine, Paul L. Foster School of Medicine (A.K.D.), Texas Tech University Health Sciences Center El Paso, 5001 El Paso Dr, El Paso, Tex 79905; Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (D.K.D.); and Department of Radiodiagnosis, King George's Medical University, Lucknow, India (D.K.D.)
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Kim SJ, Kim WG. Imaging and Clinical Features of an Unusual Unilateral Breast Enlargement Diagnosed as Fibrocystic Change: A Case Report. AMERICAN JOURNAL OF CASE REPORTS 2018; 19:1550-1555. [PMID: 30595602 PMCID: PMC6324867 DOI: 10.12659/ajcr.913456] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Patient: Female, 38 Final Diagnosis: Fibrocystic change Symptoms: Breast swelling Medication: — Clinical Procedure: Breast biopsy Specialty: Radiology
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Affiliation(s)
- Suk Jung Kim
- Department of Radiology, Haeundae Paik Hospital, Inje University College of Medicine, Busan, South Korea
| | - Woo Gyeong Kim
- Department of Pathology, Haeundae Paik Hospital, Inje University College of Medicine, Busan, South Korea
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