Purpose: To study the relationship between (FDG) uptake expressed quantitatively as standardized uptake values (SUVs) in normal breast tissues and breast density, age, menopausal status determined during dual-time point FDG-PET/CT imaging. Materials and Methods: maximum and average SUVs were determined in two hundred eighty four patients (all females; mean age 55.5 ± 14.1 range 13-84 years, 115 premenopausal, 169 postmenopausal) with newly diagnosed unilateral breast cancer, gynecological cancer and lung cancer were analyzed. One hundred forty two (50%) patients had dense breast whereas 142 (50%) patients had non-dense breast according to the ACR Lexicon criteria. All the patients underwent dual time point imaging sequential PET/CT scans for preoperative staging. In the present study, we analyzed maximum and average SUVs for the normal breast parenchyma and nipple regions. Results: Of the 284 normal breast parenchyma; 64.4% showed a decrease and 35.6% showed either no change 20.1% or an increase 15.5% in SUV over time. Similar values for the normal tissue in the nipple region were; 77.5% showed a decrease and 22.5% showed either no change 13% or an increase 9.5% in SUV over time. There was significant difference in maximum and average SUVs of breast parenchyma and nipple in patients with dense and nondense breasts (p < 0.0001). There were trends of negative relationship between physiological FDG uptake and age (p < 0.0001). Furthermore, there was significant difference in maximum and average SUVs of breast parenchyma with different menopausal status (p < 0.0001). Our analysis revealed that breast density, age and menopausal status were significant predictors for FDG uptake in the normal breasts. Conclusion: There was a significant difference in SUVs between the dense and non-dense normal breast. Menopausal status and age do significantly affect the uptake of FDG. Delayed phase imaging can improve the accuracy of the test in the evaluation of breast cancer as the physiological FDG uptake decrease so the pathological uptake becomes prominent and could be easily depicted.
| Published in | International Journal of Medical Imaging (Volume 1, Issue 3) |
| DOI | 10.11648/j.ijmi.20130103.14 |
| Page(s) | 56-65 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2014. Published by Science Publishing Group |
Breast Cancer, FDG-PET/CT, Standardized Uptake Value (SUV), Dual-Time Point Imaging, Delayed Imaging, Breast Density, Menopause
| [1] | Jemal A, Murray T, Samuels A, Ghafoor A, Ward E, Thun MJ. Cancer statistics. CA Cancer J Clin. 2003;53:5–26. |
| [2] | Scheidhauer K, Walter C, Seemann MD. FDG PET and other imaging modalities in the primary diagnosis of suspicious breast lesions. Eur J Nucl Med Mol Imaging. 2004;31(suppl 1):S70–S79. |
| [3] | Rosenberg RD, Hunt WC, Williamson MR, Gilliland FD, Wiest PW, Kelsey CA, et al. Effects of age, breast density, ethnicity, and estrogen replacement therapy on screening mammographic sensitivity and cancer stage at diagnosis: review of 183,134 screening mammograms in Albuquerque, New Mexico. Radiology. 1998;209:511-518 |
| [4] | Baines CJ, Miller AB, Wall C, McFarlane DV, Simor IS, Jong R, et al. Sensitivity and specificity of first screen mammography in the Canadian National Breast Screening Study: a preliminary report from five centers. Radiology. 1986;160:295-298 |
| [5] | Fletcher SW, Black W, Harris R, Rimer BK, Shapiro S. Report of the International Workshop on Screening for Breast Cancer. J Natl Cancer Inst. 1993; 85:1644-1656 |
| [6] | Tabar L, Fagerberg G, Chen HH, Duffy SW, Smart CR, Gad A, et al. Efficacy of breast cancer screening by age. New results from the Swedish Two-County Trial. Cancer. 1995;75:2507-2517 |
| [7] | Frisell J, Klund G, Hellstrom L. Randomized study of mammography screening: preliminary report on mortality in the Stockholm trial. Breast Cancer Res Treat. 1991;18:49-56 |
| [8] | Boyd NF, Lockwood GA, Martin LJ, Byng JW, Yaffe MJ, Tritchler DL. Mammographic density as a marker of susceptibility to breast cancer: a hypothesis. IARC Sci Publ. 2001;154:163–169. |
| [9] | Kolb TM, Lichy J, Newhouse JH. Comparison of the performance of screening mammography, physical examination, and breast US and evaluation of factors that influence them: an analysis of 27,825 patient evaluations. Radiology. 2002;225:165-175 |
| [10] | Mandelson MT, Oestreicher N, Porter PL, et al. Breast density as a predictor of mammographic detection: comparison of interval- and screen-detected cancers. J Natl Cancer Inst. 2000;92:1081–1087. |
| [11] | Foxcroft LM, Evans EB, Joshua HK, Hirst C. Breast cancers invisible on mammography. Aust N Z J Surg. 2000;70:162-167. |
| [12] | Salvatore M, Del Vecchio S. Dynamic imaging: scintimammography. Eur J Radiol. 1998;27 Suppl 2:S259-264 |
| [13] | Lehman CD, White E, Peacock S, Drucker MJ, Urban N. Effect of age and breast density on screening mammograms with false positive findings. AJR. 1999; 173:1651-1655 |
| [14] | Nieweg OE, Kim EE, Wong WH. Positron emission tomographywith fluorine-18-deoxyglucose in the detection and staging of breast cancer. Cancer. 1993;71:3920-3925 |
| [15] | Hoh CK, Schiepers C. 18-FDG imaging in breast cancer. Semin Nucl Med. 1999;29:49-56 |
| [16] | Adler LP, Crowe JP, Al-Kaisi NK, Sunshine JL. Evaluation of breast masses and axillary lymph nodes with [F-18]2-deoxy-2-fluoro-D-glucose PET. Radiology. 1993; 187:743-750 |
| [17] | Avril N, Dose J, Janicke F, Bense S, Ziegler S, Laubenbacher C, et al. Metabolic characterization of breast tumors with positron emission tomography using F-18 fluorodeoxyglucose. J Clin Oncol. 1996;14:1848-1857 |
| [18] | Alavi A, Kung JW, Zhuang H. Implications of PET based molecular imaging on the current and future practice of medicine. Semin Nucl Med. 2004;34:56-69 |
| [19] | Vranjesevic D, Schiepers C, Silverman DH, Quon A, Villalpando J, Dahlbom M, et al. Relationship between 18F-FDG uptake and breast density in women with normal breast tissue. J Nucl Med. 2003;44:1238-1242 |
| [20] | Kumar R, Schnall MD, Alavi A. 18F-FDG uptake and breast density in women with normal breast tissue. J Nucl Med. 2004;45:1423-1424 |
| [21] | Zytoon AA, Murakami K, El-Kholy MR, El-Shorbagy E. Dual time point FDG-PET/CT imaging ... Potential tool for diagnosis of breast cancer. Clin Radiol. 2008; 63(11):1213-27. |
| [22] | Pisano ED, Yaffe MJ () Digital mammography. Radiology 2005;234: 353-362 |
| [23] | Kumar R, Alavi A. Fluorodeoxyglucose-PET in the management of breast cancer. Radiol Clin North Am 2004;42:1113-1122 |
| [24] | Zytoon AA, Murakami K, El-Kholy MR, El-Shorbagy E, Ebied O. Breast cancer with low FDG uptake: characterization by means of dual-time point FDG-PET/CT. Eur J Radiol. 2009;70(3):530-8. |
| [25] | Grove JS, Goodman MJ, Gilbert FI Jr, Mi MP. Factors associated with mammographic pattern. Br J Radiol. 1985;58:21-25. |
| [26] | Kumar R, Chauhan A, Zhuang H, Chandra P, Schnall M, Alavi A. Standardized uptake values of normal breast tissue with 2-deoxy-2-[F-18]fluoro-D: -glucose positron emission tomography: variations with age, breast density, and menopausal status. Mol Imaging Biol. 2006;8(6):355-62. |
| [27] | Ciatto S, Zappa MA. A prospective study of the value of mammographic patterns as indicators of breast cancer risk in a screening experience. Eur J Radiol 1993;17:122-125 |
| [28] | Flook D, Gilhome RW, Harman J, Gravelle IH, Webster DJ. Changes in Wolfe mammographic patterns with aging. Br J Radiol 1987;60:455-456 |
| [29] | Wolfe JN. Breast parenchymal patterns and their changes with age. Radiology 1976;121:545-552 |
| [30] | Kerlikowske K, Grady D, Barclay J, Sickles EA, Ernster V. Effect of age, breast density, and family history on the sensitivity of first screening mammography. JAMA 1996;276:33-38 |
APA Style
Ashraf Anas Zytoon. (2014). Standardized Uptake Value Variations of Normal Glandular Breast Tissue at Dual Time Point FDG-PET/CT Imaging. International Journal of Medical Imaging, 1(3), 56-65. https://doi.org/10.11648/j.ijmi.20130103.14
ACS Style
Ashraf Anas Zytoon. Standardized Uptake Value Variations of Normal Glandular Breast Tissue at Dual Time Point FDG-PET/CT Imaging. Int. J. Med. Imaging 2014, 1(3), 56-65. doi: 10.11648/j.ijmi.20130103.14
AMA Style
Ashraf Anas Zytoon. Standardized Uptake Value Variations of Normal Glandular Breast Tissue at Dual Time Point FDG-PET/CT Imaging. Int J Med Imaging. 2014;1(3):56-65. doi: 10.11648/j.ijmi.20130103.14
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Download@article{10.11648/j.ijmi.20130103.14,
author = {Ashraf Anas Zytoon},
title = {Standardized Uptake Value Variations of Normal Glandular Breast Tissue at Dual Time Point FDG-PET/CT Imaging},
journal = {International Journal of Medical Imaging},
volume = {1},
number = {3},
pages = {56-65},
doi = {10.11648/j.ijmi.20130103.14},
url = {https://doi.org/10.11648/j.ijmi.20130103.14},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijmi.20130103.14},
abstract = {Purpose: To study the relationship between (FDG) uptake expressed quantitatively as standardized uptake values (SUVs) in normal breast tissues and breast density, age, menopausal status determined during dual-time point FDG-PET/CT imaging. Materials and Methods: maximum and average SUVs were determined in two hundred eighty four patients (all females; mean age 55.5 ± 14.1 range 13-84 years, 115 premenopausal, 169 postmenopausal) with newly diagnosed unilateral breast cancer, gynecological cancer and lung cancer were analyzed. One hundred forty two (50%) patients had dense breast whereas 142 (50%) patients had non-dense breast according to the ACR Lexicon criteria. All the patients underwent dual time point imaging sequential PET/CT scans for preoperative staging. In the present study, we analyzed maximum and average SUVs for the normal breast parenchyma and nipple regions. Results: Of the 284 normal breast parenchyma; 64.4% showed a decrease and 35.6% showed either no change 20.1% or an increase 15.5% in SUV over time. Similar values for the normal tissue in the nipple region were; 77.5% showed a decrease and 22.5% showed either no change 13% or an increase 9.5% in SUV over time. There was significant difference in maximum and average SUVs of breast parenchyma and nipple in patients with dense and nondense breasts (p < 0.0001). There were trends of negative relationship between physiological FDG uptake and age (p < 0.0001). Furthermore, there was significant difference in maximum and average SUVs of breast parenchyma with different menopausal status (p < 0.0001). Our analysis revealed that breast density, age and menopausal status were significant predictors for FDG uptake in the normal breasts. Conclusion: There was a significant difference in SUVs between the dense and non-dense normal breast. Menopausal status and age do significantly affect the uptake of FDG. Delayed phase imaging can improve the accuracy of the test in the evaluation of breast cancer as the physiological FDG uptake decrease so the pathological uptake becomes prominent and could be easily depicted.},
year = {2014}
}
TY - JOUR T1 - Standardized Uptake Value Variations of Normal Glandular Breast Tissue at Dual Time Point FDG-PET/CT Imaging AU - Ashraf Anas Zytoon Y1 - 2014/01/30 PY - 2014 N1 - https://doi.org/10.11648/j.ijmi.20130103.14 DO - 10.11648/j.ijmi.20130103.14 T2 - International Journal of Medical Imaging JF - International Journal of Medical Imaging JO - International Journal of Medical Imaging SP - 56 EP - 65 PB - Science Publishing Group SN - 2330-832X UR - https://doi.org/10.11648/j.ijmi.20130103.14 AB - Purpose: To study the relationship between (FDG) uptake expressed quantitatively as standardized uptake values (SUVs) in normal breast tissues and breast density, age, menopausal status determined during dual-time point FDG-PET/CT imaging. Materials and Methods: maximum and average SUVs were determined in two hundred eighty four patients (all females; mean age 55.5 ± 14.1 range 13-84 years, 115 premenopausal, 169 postmenopausal) with newly diagnosed unilateral breast cancer, gynecological cancer and lung cancer were analyzed. One hundred forty two (50%) patients had dense breast whereas 142 (50%) patients had non-dense breast according to the ACR Lexicon criteria. All the patients underwent dual time point imaging sequential PET/CT scans for preoperative staging. In the present study, we analyzed maximum and average SUVs for the normal breast parenchyma and nipple regions. Results: Of the 284 normal breast parenchyma; 64.4% showed a decrease and 35.6% showed either no change 20.1% or an increase 15.5% in SUV over time. Similar values for the normal tissue in the nipple region were; 77.5% showed a decrease and 22.5% showed either no change 13% or an increase 9.5% in SUV over time. There was significant difference in maximum and average SUVs of breast parenchyma and nipple in patients with dense and nondense breasts (p < 0.0001). There were trends of negative relationship between physiological FDG uptake and age (p < 0.0001). Furthermore, there was significant difference in maximum and average SUVs of breast parenchyma with different menopausal status (p < 0.0001). Our analysis revealed that breast density, age and menopausal status were significant predictors for FDG uptake in the normal breasts. Conclusion: There was a significant difference in SUVs between the dense and non-dense normal breast. Menopausal status and age do significantly affect the uptake of FDG. Delayed phase imaging can improve the accuracy of the test in the evaluation of breast cancer as the physiological FDG uptake decrease so the pathological uptake becomes prominent and could be easily depicted. VL - 1 IS - 3 ER -
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