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Predictive criteria indicating the probability of positive sentinel lymph node in invasive breast cancer / Ahmed M. Salah E. Sarhan Ismail ; Supervised Mostafa Elshazly , Ahmed Fahmy Omar , Balapathiran Balasubramanian

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Ahmed Mohamed Salah Eldin Sarhan Ismail , 2014Description: 216 P. : facsimiles ; 25cmOther title:
  • فى حالات سرطان الثدى المتغلغل (Sentinel) القيمة التنبؤية لتأثر الغدد الليمفاوية الحارسة [Added title page title]
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  • Issued also as CD
Dissertation note: Thesis (Ph.D.) - Cairo University - Faculty of Medicine - Department of General Surgery Summary: Establishing presence or absence of lymph node metastasis is critical in the management of primary breast cancer. A reliable tool to predict the probability of axillary lymph node metastasis would lead to improved efficiencies of care and reduce morbidity of axillary surgery, especially if one step nucleic acid amplification (OSNA) is to be used for intra - operative lymph node analysis. Prospective data collection from 323 patients diagnosed with primary invasive breast cancer over a twelve month period, including symptomatic and screening patients. Data collected was analyzed by IBM SPSS software, multivariate statistical analysis with logistic regression was used to identify predictive criteria and create a predictive tool or equation. Patient{u2019}s variables were applied in the predictive tool created by the Memorial Sloan Kettering cancer institute and results were compared to other predictive tools from other centers
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Item type Current library Home library Call number Copy number Status Date due Barcode
Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.11.14.Ph.D.2014.Ah.P (Browse shelf(Opens below)) Not for loan 01010110066251000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.11.14.Ph.D.2014.Ah.P (Browse shelf(Opens below)) 66251.CD Not for loan 01020110066251000

Thesis (Ph.D.) - Cairo University - Faculty of Medicine - Department of General Surgery

Establishing presence or absence of lymph node metastasis is critical in the management of primary breast cancer. A reliable tool to predict the probability of axillary lymph node metastasis would lead to improved efficiencies of care and reduce morbidity of axillary surgery, especially if one step nucleic acid amplification (OSNA) is to be used for intra - operative lymph node analysis. Prospective data collection from 323 patients diagnosed with primary invasive breast cancer over a twelve month period, including symptomatic and screening patients. Data collected was analyzed by IBM SPSS software, multivariate statistical analysis with logistic regression was used to identify predictive criteria and create a predictive tool or equation. Patient{u2019}s variables were applied in the predictive tool created by the Memorial Sloan Kettering cancer institute and results were compared to other predictive tools from other centers

Issued also as CD

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