scholarly journals Development of a quantitative method for analysis of breast density based on three-dimensional breast MRI

2008 ◽  
Vol 35 (12) ◽  
pp. 5253-5262 ◽  
Author(s):  
Ke Nie ◽  
Jeon-Hor Chen ◽  
Siwa Chan ◽  
Man-Kwun I. Chau ◽  
Hon J. Yu ◽  
...  
Keyword(s):  
Breast Density ◽  
Quantitative Method ◽  
Three Dimensional ◽  
Breast Mri

Variable spatiotemporal resolution three-dimensional dixon sequence for rapid dynamic contrast-enhanced breast MRI

2014 ◽  
Vol 40 (6) ◽  
pp. spcone-spcone
Author(s):  
Manojkumar Saranathan ◽  
Dan W. Rettmann ◽  
Brian A. Hargreaves ◽  
Jafi A. Lipson ◽  
Bruce L. Daniel
Keyword(s):  
Three Dimensional ◽  
Breast Mri ◽  
Spatiotemporal Resolution ◽  
Dynamic Contrast Enhanced ◽  
Contrast Enhanced

A Simple and Quantitative Method for Three-Dimensional Measurement of Normal Smiles

2005 ◽  
Vol 54 (4) ◽  
pp. 379-383 ◽  
Author(s):  
Young-Seok Kang ◽  
Yong-Chan Bae ◽  
So-Min Hwang ◽  
Soo-Bong Nam
Keyword(s):  
Quantitative Method ◽  
Three Dimensional ◽  
Dimensional Measurement ◽  
Three Dimensional Measurement

Breast Cancer in Young Women after Treatment with Irradiation for Hodgkin’s Lymphoma.

Blood ◽  
2006 ◽  
Vol 108 (11) ◽  
pp. 3333-3333
Author(s):  
Linda Lee ◽  
Melania Pintilie ◽  
David Hodgson ◽  
Michael Crump
Keyword(s):  
Breast Cancer ◽  
High Risk ◽  
Breast Density ◽  
Young Women ◽  
Cumulative Incidence ◽  
Breast Mri ◽  
Increased Risk

Abstract BACKGROUND: Women who are survivors of Hodgkin’s Lymphoma (HL) are at increased risk of developing breast cancer (BCa) as a long-term complication due to the use of extended field (mantle) irradiation (RT) of disease above the diaphragm. Many young women are at significantly increased risk of BCa prior to the age at which routine screening mammography is recommended for the general population. The sensitivity of mammography is lower in these women, in part due to increased breast tissue density characteristic of young pre-menopausal women. Currently, there is a paucity of information on the optimal screening modality and surveillance frequency for these women. METHODS: We reviewed the current BCa screening strategies used for this high risk group at our centre and described the incidence, method of detection, and characteristics of secondary BCas in a cohort of 115 women who received supradiaphragmatic RT for HL before age 30 between 1965 and 2000 at Princess Margaret Hospital (PMH) and who subsequently accepted long-term follow-up in a high-risk screening clinic. RESULTS: Median age at treatment was 22 (range 9–30). Radiation fields were mantle in 106 women, modified mantle in 6, and involved field in 3 (median dose delivered: 35 Gy, range 15–60). RT alone was used for 44 patients while 71 received combined modality therapy, of which 45 (65%) received MOPP. Treatment induced amenorrhea occurred in 15 women (median age 38); hormone replacement therapy was subsequently used by 9. Of the 107 women who participated in annual radiographic BCa screening, 95 were screened with mammogram alone, 1 with breast MRI alone, 8 with mammogram and MRI, and 3 with mammogram and ultrasound. Median age at first mammogram was 36; however, median age decreased with more recent year of HL diagnosis (age 40 for women diagnosed before 1985 compared to age 33 for women diagnosed after 1985, p<0.0001). Women with high breast density received MRI screening more often (p=0.02); however, breast density was not significantly associated with previous breast radiation dose or age at last follow-up. Twelve women were diagnosed with BCa in this cohort, following active breast surveillance for a median of 5 years (representing 584 person-years). The 20-year cumulative incidence of breast cancer was 10.9% (95% CI 5.3–18.8%) in this group of women. This was comparable to the 20-year cumulative incidence of breast cancer of 12% (95% CI 8–17%) in all 448 women with HL treated with supradiaphragmatic radiation before age 30 at PMH during the same time period. BCa occurred after a median of 17 years after treatment for HL (range 13–28). Median age at BCa diagnosis was 40 (range 31–51). Seven cancers were detected by physical exam (6 node-positive invasive BCas, 1 in-situ BCa) and 5 were detected on annual mammograms (1 node-positive invasive BCa, 4 in-situ BCas). CONCLUSIONS: Although women in the more recent treatment cohort are receiving their first mammogram at a younger age, the majority of BCas were still detected clinically, and these BCas had less favorable pathological characteristics. More frequent breast imaging should be considered in women who have had supradiaphragmatic RT for HL. Prospective evaluation of breast MRI as a screening strategy for HL survivors has been initiated at PMH in an effort to detect BCa at an earlier stage.

Thermal distribution analysis of three-dimensional tumor-embedded breast models with different breast density compositions

2015 ◽  
Vol 54 (9) ◽  
pp. 1363-1373 ◽  
Author(s):  
Asnida Abd Wahab ◽  
Maheza Irna Mohamad Salim ◽  
Mohamad Asmidzam Ahamat ◽  
Noraida Abd Manaf ◽  
Jasmy Yunus ◽  
...  
Keyword(s):  
Breast Density ◽  
Three Dimensional ◽  
Distribution Analysis ◽  
Thermal Distribution

scholarly journals Integrating Multiple-capsule Traits Quantitative Evaluation of Seed Maturity by 3D Phenotypic Platform in Nicotiana tabacum

HortScience ◽  
2019 ◽  
Vol 54 (6) ◽  
pp. 993-997
Author(s):  
Zhenhua Li ◽  
Yiling Liu ◽  
RenXiang Liu
Keyword(s):  
Seed Development ◽  
High Throughput Screening ◽  
Quantitative Method ◽  
Three Dimensional ◽  
Shape Parameters ◽  
Seed Maturity ◽  
Initial Rise ◽  
Seed Harvest ◽  
Length Width ◽  
Almost All

Many methods have been proposed for the identification of seed maturity, and almost all of them need to be performed after seed harvest. In this study, a real-time quantitative method that can be performed during seed development was used by integrating multiple-capsule traits using a high-throughput screening (HTS) technique. Capsule color, shape, and density parameters can reflect seed development and maturity. During seed development, we observed a fast decrease in color parameters (R, G, and B) and water content, as well as an increase in temperature sensitivity; an initial rise followed by decline in shape parameters [length, width, minimum circumscribed circle (MCC) diameter, area] was also observed; as well as irregular differentiation of density parameters of the capsules. Correlation analysis showed a significant relationship between seed maturity and capsule color, as well as its shape parameters (Table 1). In sum, our data demonstrate that that three-dimensional (3D) phenotypic platform can be used to differentiate seed maturity by quantitative evaluating multiple-capsule traits, which is a quantitative method for determining the maturity of seed while still growing in the fruit of the mother plant.

scholarly journals Population-Based Assessment of the Association Between Magnetic Resonance Imaging Background Parenchymal Enhancement and Future Primary Breast Cancer Risk

2019 ◽  
Vol 37 (12) ◽  
pp. 954-963 ◽  
Author(s):  
Vignesh A. Arasu ◽  
Diana L. Miglioretti ◽  
Brian L. Sprague ◽  
Nila H. Alsheik ◽  
Diana S.M. Buist ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Breast Density ◽  
Ductal Carcinoma ◽  
Breast Mri ◽  
Resonance Imaging ◽  
Background Parenchymal Enhancement ◽  
Parenchymal Enhancement

PURPOSE To evaluate comparative associations of breast magnetic resonance imaging (MRI) background parenchymal enhancement (BPE) and mammographic breast density with subsequent breast cancer risk. PATIENTS AND METHODS We examined women undergoing breast MRI in the Breast Cancer Surveillance Consortium from 2005 to 2015 (with one exam in 2000) using qualitative BPE assessments of minimal, mild, moderate, or marked. Breast density was assessed on mammography performed within 5 years of MRI. Among women diagnosed with breast cancer, the first BPE assessment was included if it was more than 3 months before their first diagnosis. Breast cancer risk associated with BPE was estimated using Cox proportional hazards regression. RESULTS Among 4,247 women, 176 developed breast cancer (invasive, n = 129; ductal carcinoma in situ,n = 47) over a median follow-up time of 2.8 years. More women with cancer had mild, moderate, or marked BPE than women without cancer (80% v 66%, respectively). Compared with minimal BPE, increasing BPE levels were associated with significantly increased cancer risk (mild: hazard ratio [HR], 1.80; 95% CI, 1.12 to 2.87; moderate: HR, 2.42; 95% CI, 1.51 to 3.86; and marked: HR, 3.41; 95% CI, 2.05 to 5.66). Compared with women with minimal BPE and almost entirely fatty or scattered fibroglandular breast density, women with mild, moderate, or marked BPE demonstrated elevated cancer risk if they had almost entirely fatty or scattered fibroglandular breast density (HR, 2.30; 95% CI, 1.19 to 4.46) or heterogeneous or extremely dense breasts (HR, 2.61; 95% CI, 1.44 to 4.72), with no significant interaction ( P = .82). Combined mild, moderate, and marked BPE demonstrated significantly increased risk of invasive cancer (HR, 2.73; 95% CI, 1.66 to 4.49) but not ductal carcinoma in situ (HR, 1.48; 95% CI, 0.72 to 3.05). CONCLUSION BPE is associated with future invasive breast cancer risk independent of breast density. BPE should be considered for risk prediction models for women undergoing breast MRI.

scholarly journals Whole Breast Sound Speed Measurement from US Tomography Correlates Strongly with Volumetric Breast Density from Mammography

2020 ◽  
Vol 2 (5) ◽  
pp. 443-451
Author(s):  
Mark Sak ◽  
Peter Littrup ◽  
Rachel Brem ◽  
Neb Duric
Keyword(s):  
Breast Density ◽  
Sound Speed ◽  
Three Dimensional ◽  
Correlation Coefficients ◽  
Mammographic Breast Density ◽  
Data Sets ◽  
Imaging Data ◽  
Institutional Review ◽  
Dense Tissue ◽  
Screening Mammograms

Abstract Objective To assess the feasibility of using tissue sound speed as a quantitative marker of breast density. Methods This study was carried out under an Institutional Review Board–approved protocol (written consent required). Imaging data were selected retrospectively based on the availability of US tomography (UST) exams, screening mammograms with volumetric breast density data, patient age of 18 to 80 years, and weight less than 300 lbs. Sound speed images from the UST exams were used to measure the volume of dense tissue, the volume averaged sound speed (VASS), and the percent of high sound speed tissue (PHSST). The mammographic breast density and volume of dense tissue were estimated with three-dimensional (3D) software. Differences in volumes were assessed with paired t-tests. Spearman correlation coefficients were calculated to determine the strength of the correlations between the mammographic and UST assessments of breast density. Results A total of 100 UST and 3D mammographic data sets met the selection criteria. The resulting measurements showed that UST measured a more than 2-fold larger volume of dense tissue compared to mammography. The differences were statistically significant (P &lt; 0.001). A strong correlation of rS = 0.85 (95% CI: 0.79–0.90) between 3D mammographic breast density (BD) and the VASS was noted. This correlation is significantly stronger than those reported in previous two-dimensional studies (rS = 0.85 vs rS = 0.71). A similar correlation was found for PHSST and mammographic BD with rS = 0.86 (95% CI: 0.80–0.90). Conclusion The strong correlations between UST parameters and 3D mammographic BD suggest that breast sound speed should be further studied as a potential new marker for inclusion in clinical risk models.

Does breast density affect the ability of MRI to detect mammographically occult cancers?

2012 ◽  
Vol 30 (27_suppl) ◽  
pp. 54-54
Author(s):  
Beth Cutler Freedman ◽  
Jocelyn Luongo ◽  
Alyssa Gillego ◽  
Tamara Fulop ◽  
Susan K. Boolbol
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Breast Density ◽  
Retrospective Chart Review ◽  
Breast Mri ◽  
Mammographic Breast Density ◽  
Breast Cancer Patients ◽  
Mri Findings ◽  
Number Of Patients ◽  
Density Methods

54 Background: In breast cancer patients, the use of preoperative MRI is increasing. A change in the operative plan due to MRI findings occurs in 8%-20% of cases. Preoperative MRI is used routinely by many surgeons and radiologists, but debate persists with regard to its indications. We evaluated whether mammographic breast density affected MRI findings. We also examined whether the number of MRI detected synchronous cancers were affected by breast density. Methods: A retrospective chart review was performed of newly diagnosed breast cancer patients who underwent preoperative MRI from 2008-2011. There were three categories of breast density: fat-replaced, scattered fibroglandular densities, and dense. We determined the number of patients in each group who underwent biopsies based on MRI findings, and evaluated the number of occult cancers diagnosed as a result of these biopsies. Results: 301 patients were included. Overall, 64 patients (21%) who underwent an image guided biopsy based on pre-operative breast MRI were diagnosed with an additional focus of cancer. Of the 17 patients with fat-replaced breasts, 4 underwent additional biopsy, and carcinoma was identified in all patients. 149 patients had scattered fibroglandular densities; 53 (36%) underwent additional biopsies. New cancers were diagnosed in 28 patients (19%). Of 135 patients with dense breasts, 61 patients (45%) had additional biopsies, and new cancers were diagnosed in 24 % of these patients. Conclusions: MRI detected additional cancer in 21% of patients in this study. MRI is sensitive and specific in patients with fat-replaced breasts (100%), but due to the small number of patients in this group, additional studies must be done to evaluate the usefulness in this group of patients. We conclude that MRI is useful for detecting additional cancers in patients of all breast densities, and may change the surgical options of the patient when multicentric or contralateral disease is diagnosed.[Table: see text]

Abstract P1-01-08: Changes in breast density with mammography and breast MRI among high-risk postmenopausal women

2015 ◽  
Author(s):  
Parijatham S Thomas ◽  
Mary Beth Terry ◽  
Xiaotao Guo ◽  
Binsheng Zhao ◽  
Richard Ha ◽  
...  
Keyword(s):  
High Risk ◽  
Postmenopausal Women ◽  
Breast Density ◽  
Breast Mri
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