Literature DB >> 28415974

Evaluation of the association between quantitative mammographic density and breast cancer occurred in different quadrants.

Siwa Chan1,2,3, Jeon-Hor Chen4,5,6, Shunshan Li7, Rita Chang7, Darh-Cherng Yeh8, Ruey-Feng Chang1, Lee-Ren Yeh9, Jessica Kwong7, Min-Ying Su7.   

Abstract

BACKGROUND: To investigate the relationship between mammographic density measured in four quadrants of a breast with the location of the occurred cancer.
METHODS: One hundred and ten women diagnosed with unilateral breast cancer that could be determined in one specific breast quadrant were retrospectively studied. Women with previous cancer/breast surgery were excluded. The craniocaudal (CC) and mediolateral oblique (MLO) mammography of the contralateral normal breast were used to separate a breast into 4 quadrants: Upper-Outer (UO), Upper-Inner (UI), Lower-Outer (LO), and Lower-Inner (LI). The breast area (BA), dense area (DA), and percent density (PD) in each quadrant were measured by using the fuzzy-C-means segmentation. The BA, DA, and PD were compared between patients who had cancer occurring in different quadrants.
RESULTS: The upper-outer quadrant had the highest BA (37 ± 15 cm2) and DA (7.1 ± 2.9 cm2), with PD = 20.0 ± 5.8%. The order of BA and DA in the 4 separated quadrants were: UO > UI > LO > LI, and almost all pair-wise comparisons showed significant differences. For tumor location, 67 women (60.9%) had tumor in UO, 16 (14.5%) in UI, 7 (6.4%) in LO, and 20 (18.2%) in LI quadrant, respectively. The estimated odds and the 95% confidence limits of tumor development in the UO, UI, LO and LI quadrants were 1.56 (1.06, 2.29), 0.17 (0.10, 0.29), 0.07 (0.03, 0.15), and 0.22 (0.14, 0.36), respectively. In these 4 groups of women, the order of quadrant BA and DA were all the same (UO > UI > LO > LI), and there was no significant difference in BA, DA or PD among them (all p > 0.05).
CONCLUSIONS: Breast cancer was most likely to occur in the UO quadrant, which was also the quadrant with highest BA and DA; but for women with tumors in other quadrants, the density in that quadrant was not the highest. Therefore, there was no direct association between quadrant density and tumor occurrence.

Entities:  

Keywords:  Breast cancer; Breast quadrant; Dense area; Mammographic density; Percent density; Upper-outer quadrant

Mesh:

Year:  2017        PMID: 28415974      PMCID: PMC5392962          DOI: 10.1186/s12885-017-3270-0

Source DB:  PubMed          Journal:  BMC Cancer        ISSN: 1471-2407            Impact factor:   4.430


  40 in total

1.  Body size, mammographic density, and breast cancer risk.

Authors:  Norman F Boyd; Lisa J Martin; Limei Sun; Helen Guo; Anna Chiarelli; Greg Hislop; Martin Yaffe; Salomon Minkin
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2006-11       Impact factor: 4.254

2.  Localized fibroglandular tissue as a predictor of future tumor location within the breast.

Authors:  Snehal M Pinto Pereira; Valerie A McCormack; John H Hipwell; Carol Record; Louise S Wilkinson; Sue M Moss; David J Hawkes; Isabel dos-Santos-Silva
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2011-06-21       Impact factor: 4.254

3.  Value of nodal drainage patterns and tumor location from lymphoscintigraphic mapping in detecting axillary sentinel lymph node status in breast cancer: experience at Kaohsiung Medical University Hospital.

Authors:  Yu-Wen Chen; Yung-Chang Lai; Chien-Chin Hsu; Ya-Wen Chuang; Ming-Feng Hou
Journal:  Kaohsiung J Med Sci       Date:  2005-06       Impact factor: 2.744

4.  Outer breast quadrants demonstrate increased levels of genomic instability.

Authors:  Darrell L Ellsworth; Rachel E Ellsworth; Brad Love; Brenda Deyarmin; Susan M Lubert; Vimal Mittal; Jeffrey A Hooke; Craig D Shriver
Journal:  Ann Surg Oncol       Date:  2004-08-16       Impact factor: 5.344

5.  Mammographic density and breast cancer in three ethnic groups.

Authors:  Giske Ursin; Huiyan Ma; Anna H Wu; Leslie Bernstein; Martine Salane; Yuri R Parisky; Melvin Astrahan; Conchitina C Siozon; Malcolm C Pike
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2003-04       Impact factor: 4.254

6.  Using clinical factors and mammographic breast density to estimate breast cancer risk: development and validation of a new predictive model.

Authors:  Jeffrey A Tice; Steven R Cummings; Rebecca Smith-Bindman; Laura Ichikawa; William E Barlow; Karla Kerlikowske
Journal:  Ann Intern Med       Date:  2008-03-04       Impact factor: 25.391

7.  Mammographic density and its interaction with other breast cancer risk factors in an Asian population.

Authors:  C S Wong; G H Lim; F Gao; R W Jakes; J Offman; K S Chia; S W Duffy
Journal:  Br J Cancer       Date:  2011-01-18       Impact factor: 7.640

8.  Breast cancer risk factors in relation to breast density (United States).

Authors:  Linda Titus-Ernstoff; Anna N A Tosteson; Claudia Kasales; Julia Weiss; Martha Goodrich; Elizabeth E Hatch; Patricia A Carney
Journal:  Cancer Causes Control       Date:  2006-12       Impact factor: 2.506

9.  The spatial distribution of radiodense breast tissue: a longitudinal study.

Authors:  Snehal M Pinto Pereira; Valerie A McCormack; Sue M Moss; Isabel dos Santos Silva
Journal:  Breast Cancer Res       Date:  2009-06-03       Impact factor: 6.466

10.  Visually assessed breast density, breast cancer risk and the importance of the craniocaudal view.

Authors:  Stephen W Duffy; Iris D Nagtegaal; Susan M Astley; Maureen G C Gillan; Magnus A McGee; Caroline R M Boggis; Mary Wilson; Ursula M Beetles; Miriam A Griffiths; Anil K Jain; Jill Johnson; Rita Roberts; Heather Deans; Karen A Duncan; Geeta Iyengar; Pam M Griffiths; Jane Warwick; Jack Cuzick; Fiona J Gilbert
Journal:  Breast Cancer Res       Date:  2008-07-23       Impact factor: 6.466

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  6 in total

Review 1.  A review of the influence of mammographic density on breast cancer clinical and pathological phenotype.

Authors:  Michael S Shawky; Cecilia W Huo; Kara Britt; Erik W Thompson; Michael A Henderson; Andrew Redfern
Journal:  Breast Cancer Res Treat       Date:  2019-06-08       Impact factor: 4.872

2.  Impact of deformation on a supine-positioned image-guided breast surgery approach.

Authors:  Winona L Richey; Jon S Heiselman; Ma Luo; Ingrid M Meszoely; Michael I Miga
Journal:  Int J Comput Assist Radiol Surg       Date:  2021-08-12       Impact factor: 3.421

3.  Analysing the Insights and Assessing the Impact of a Digital Mammography and Tomosynthesis Based 2-year Long Prospective Breast Screening Programme Organised in Western India.

Authors:  Pranav Ajmera; Pratiksha Yadav; Udayan Dosi; Shreeya Goyal
Journal:  Asian Pac J Cancer Prev       Date:  2022-01-01

4.  Epidemiological, clinical and diagnostic profile of breast cancer patients treated at Potchefstroom regional hospital, South Africa, 2012-2018: an open-cohort study.

Authors:  Baudouin Kongolo Kakudji; Prince Kasongo Mwila; Johanita Riétte Burger; Jesslee Melinda Du Plessis
Journal:  Pan Afr Med J       Date:  2020-05-08

5.  Correlation Between Site and Stage of Breast Cancer in Women.

Authors:  Aamera Shah; Ghulam Haider; Nargis Abro; Sana Hashmat; Sanam Chandio; Abdulla Shaikh; Kiran Abbas
Journal:  Cureus       Date:  2022-02-27

6.  [Epidemiology and clinical features of patients with breast cancers hospitalized in the Department of Oncology in Fianarantsoa, Madagascar from 2011 to 2018].

Authors:  Mampionona Ranaivomanana; Nomeharisoa Rodrigue Emile Hasiniatsy; Hajanirina Rakotomahenina; Florine Rafaramino
Journal:  Pan Afr Med J       Date:  2021-03-15
  6 in total

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