Journals / Uluslararası Hematoloji-Onkoloji Dergisi / 2010 / Cilt: 20 - Sayı: 1

Breast cancer risk assessment: 5000 cases

Meme kanseri risk değerlendirmesi: 5000 olgu

Pages
27–33
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Therefore, it is essential that breast cancer screening should be performed according to the age level, the most significant independent risk factor.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this study, it was aimed to investigate the contribution of the risk factors, by determining the risk levels in women scanned for breast cancer, to the scanning performed for early diagnosis and the risk levels of the women diagnosed with breast cancer.
📊
Key Findings & Data:The study was performed on 5000 women applying to Early-Diagnosis, Screening and Education Center for Cancer (KETEM) for breast cancer scanning.
💡
Conclusion & Impact:Therefore, it is essential that breast cancer screening should be performed according to the age level, the most significant independent risk factor.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

In this study, it was aimed to investigate the contribution of the risk factors, by determining the risk levels in women scanned for breast cancer, to the scanning performed for early diagnosis and the risk levels of the women diagnosed with breast cancer. The study was performed on 5000 women applying to Early-Diagnosis, Screening and Education Center for Cancer (KETEM) for breast cancer scanning. All participants were exposed to the criteria “The Risk Assessment Form for Breast Cancer” suggested by the Ministry of Health to assess the risk of breast cancer. The risk levels of the subjects were defined as: low, moderate, high and the highest. The median age of the subjects was 45 years (range, 18-88). Distributions of the cases were as follows, according to breast cancer risk levels: low risk 94.42% (n= 4721), moderate risk 4.92% (n= 246), high risk 0.38% (n=19) and the highest risk 0.28% (n= 14). When moderate, high and the highest risk levels were taken into consideration as the groups at risk, breast cancer risk level was defined to be 5.6% (n= 279). Of the 22 subjects with breast cancer and evaluated for risk levels, 16(73%) displayed low risk and 6 (27%) moderate risk, but no high risk was detected. Although the risk assessment for breast cancer may provide beneficial data on risk level, it cannot give us marked data about the risk of breast cancer. Therefore, it is essential that breast cancer screening should be performed according to the age level, the most significant independent risk factor.

Özet

Bu çalışmada meme kanseri taraması yapılan kadınlarda meme kanseri risk düzeyi tespit edilerek risk faktörlerinin erken tanı için yapılan tarama çalışmalarına katkısı ile bu olgularda meme kanseri saptananların risk düzeylerinin değerlendirilmesi amaçlandı. Bu çalışma, Kanser Erken Teşhis-Tarama ve Eğitim Merkezi (KETEM)’ne meme kanseri taraması için başvuran 5000 kadın olgu üzerinde yapıldı. Olgulara Sağlık Bakanlığı’nın meme kanseri riskini değerlendirmek amacıyla önerdiği “Meme Kanseri Risk Değerlendirme Formu” uygulandı. Olguların risk düzeyleri; düşük, orta, yüksek ve en yüksek risk olarak belirlendi. Olguların ortanca yaşı 45 (sınırlar, 18-88) idi. Olguların meme kanseri riskine göre dağılımı; düşük risk düzeyi %94.42 (n= 4721), orta risk düzeyi %4.92 (n= 246), yüksek risk düzeyi %0.38 (n= 19) ve en yüksek risk düzeyi %0.28 (n=14) olarak bulundu. Orta, yüksek ve en yüksek risk düzeyi riskli grup olarak alınarak meme kanseri risk oranı %5.6 (n= 279) olarak saptandı. Risk değerlendirmesi yapılan populasyon içinde meme kanserli 22 olgumuzun %73 (n=16)’inde düşük ve %27 (n=6)’unda orta risk düzeyi gözlendi ve hiçbirinde yüksek risk düzeyi saptanmadı. Meme kanseri risk değerlendirmesi risk düzeyi hakkında fikir vermekle beraber meme kanseri olma olasılığı için kesin bilgi vermemektedir. Kadınların en önemli bağımsız risk faktörü olan yaşa göre uygun taramaların yapılması gerekmektedir.

🔖

Cite This Article

EROĞLU, C., ERYILMAZ, M. A., CIVCIK, S., GÜRBÜZ, Z. (2010). Breast cancer risk assessment: 5000 cases. Uluslararası Hematoloji-Onkoloji Dergisi, Cilt: 20 - Sayı: 1, 27–33. https://ajindex.com/articles/322994

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (18)

  1. Stewart SL, King JB, Thompson TD, et al. Cancer mortality surveillance – United States, 1990-2000. MMWR Surveill Summ 53: 1-108, 2004
  2. Jemal A, Thomas A, Murray T, Thun M. Cancer statistics, 2002. CA Cancer J Clin 52: 23-47, 2002
  3. Bray F, Sankila R, Ferlay J, Parkin DM. Estimates of cancer incidence and mortality in Europe in 1995. Eur J Cancer 38:99-166, 2002
  4. Sant M, Francisci S, Capocaccia R. Time trends of breast cancer survival in Europe in relation to incidence and mortality. Int J Cancer 119:2417-2422, 2006
  5. Hatipoğlu AA. Kanser erken tanı ve tarama problemleri. Tuncer AM. Türkiye’de Kanser Kontrolü.1. Baskı Ankara: Onur Matbaacılık, 2007: 381-388
  6. Crispo A, Aiuto G, Marco MR, et al. Gail Model Risk Factors: Impact of Adding an Extended Family History for Breast Cancer. The Breast Journal 14: 221-227, 2008
  7. Onat H, Başaran M. Meme kanseri risk faktörleri ve koruma. Topuz E, Aydıner A, Dinçer. Meme Kanseri
  8. Baskı. istanbul: Nobel Tıp Kitabevleri, 2003: 90-107
  9. Dumitrescu RG, Cotarla I. Understanding breast cancer risk where do we stand in 2005? J Cell Mol Med 9: 208-221, 2005
  10. Gail MH, Brinton LA, Byar DP, Mulvihill JJ. Projecting individualized probabilities of developing breast cancer for white females who are being examined annually. J Natl Cancer Inst 81: 1879-1886, 1989
  11. Claus EB, Risch N, Thompson WD. Genetic analysis of breast cancer in the cancer and steroid hormone study. Am J Hum Genet 48: 232-242, 1991
  12. Jonker MA, Jacobi CE, Hoogendoorn WE. Modeling familial clustered breast cancer using published data. Cancer Epidemiol Biomarkers Prev 12: 1479-1485, 2003
  13. Antoniou AC, Pharoah PP, Smith P. The BOADICEA model of genetic susceptibility to breast and ovarian cancer. Br J Cancer 91: 1580-1590, 2004
  14. Tyrer J, Duffy SW, Cuzick J. A breast cancer prediction model incorporating familial and personal risk factors. Stat Med 23: 1111-1130, 2004. 14. van Asperen CJ, Jonker MA, Jacobi CE. Risk estimation for healthy women from breast cancer families: new insights and new strategies. Cancer Epidemiol Biomarkers Prev 13: 87-93, 2004
  15. Evans DGR, Howell. Breast cancer risk-assessment models. Breast Cancer Res 9: 213-222, 2007
  16. Özdemir A. Imaging Modalities and Screening in Breast Cancer. Turkiye Klinikleri J Med Oncol-Special Topics 1: 5-10, 2008
  17. Çıkım Sertkaya A. Obesıty and malıgnant dısease. Turkiye Klinikleri J Int Med Sci 1: 56-60, 2005
  18. Aksoy S, Dizdar O, Harputluoglu H, Altundag K. Demog