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Ayşenur Gür

State Hospital

ORCID: 0000-0002-9521-1120

Publishes on Breast Lesions and Carcinomas, Breast Cancer Treatment Studies, Breast Implant and Reconstruction. 24 papers and 263 citations.

24Publications
263Total Citations

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Top publicationsby citations

Predictive Probability of Four Different Breast Cancer Nomograms for Nonsentinel Axillary Lymph Node Metastasis in Positive Sentinel Node Biopsy
Ayşenur Gür, Bülent Ünal, Ronald R. Johnson et al.|Journal of the American College of Surgeons|2008
Cited by 90

BACKGROUND: Although completion axillary lymph node dissection (CALND) is the gold standard for evaluating axillary status after identification of a positive sentinel lymph node (SLN) in breast cancer, almost 40% to 70% of SLN-positive patients will have negative non-SLNs. To predict non-SLN metastases (NSLNM) in patients with a positive SLN biopsy, four different nomograms have been created. The aim of this study was to evaluate the accuracy of four different nomograms in our SLN-positive breast cancer patients. STUDY DESIGN: We identified 319 patients who had a positive SLN biopsy and CALND at our hospital during an 8-year period. Breast cancer nomograms developed by Memorial Sloan-Kettering Cancer Center, Tenon Hospital, Cambridge University, and Stanford University were used to calculate the probability of NSLNM. The area under the receiver operating characteristics curve was calculated for each nomogram, and values greater than 0.70 were accepted as demonstrating considerable discrimination. RESULTS: One hundred seven of 319 patients (33.5%) had positive axillary NSLNM. The mean number of SLNs was 2.01 (range, 1 to 11 nodes), and the mean number of positive SLNs was 1.44 (range, 1 to 9 nodes). The area under the curve values were 0.70, 0.69, 0.69, and 0.64 for the Memorial Sloan-Kettering Cancer Center, Tenon, Cambridge, and Stanford models, respectively. CONCLUSIONS: We found that the Memorial Sloan-Kettering Cancer Center nomogram was more predictive than the other nomograms, but the Cambridge model and the Tenon model reached borderline values for accurate prediction. Nomograms developed at other institutions should be used with caution when counseling patients about the risk of additional nodal disease.

Models for predicting non-sentinel lymph node positivity in sentinel node positive breast cancer: the importance of scoring system
Bülent Ünal, Ayşenur Gür, Oğuz Kayıran et al.|International Journal of Clinical Practice|2008
Cited by 34

BACKGROUND: Although delayed axillary lymph node dissection is the gold standard for evaluating axillary status after identification of a positive sentinel lymph node (SLN), between 40% and 70% of sentinel lymph node positive patients will have negative non-sentinel nodes and undergo a non-therapeutic axillary dissection. Accurate estimates of the likelihood of additional disease in the axilla can assist decision-making about further treatment. To predict non-SLN metastases in patients with a positive SLN biopsy, four different nomograms have been created. METHOD: This paper reviews the scoring systems and nomograms reported in the literature and compares their predictive probability of non-SLN involvement in patients with SLN positive breast cancer. RESULT: There are several published scoring systems that contain different parameters to estimate the rate of non-SLN metastases in SLN positive patients. We reviewed Memorial Sloan-Kettering Cancer Center (MSKCC), Tenon, Stanford and Cambridge nomograms published and used scoring systems including three to eight variables. We found that the MSKCC nomogram is the most validated model in the literature to predict non-SLN status accurately. The other three models have not yet been verified in outside institutions. CONCLUSION: Despite having some limitations, the MSKCC nomogram is the most validated model in the literature. These models should be tested and verified in different programs and different patient groups before they are widely accepted.

Risk factors for breast cancer-related upper extremity lymphedema: Is immediate autologous breast reconstruction one of them?
Ayşenur Gür, Bülent Ünal, Gretchen Ahrendt et al.|Open Medicine|2009
Cited by 12Open Access

Abstract Breast cancer related upper extremity lymphedema (BCRL) reduces the quality of life of those who have had surgery for breast cancer. The aim of this study is to evaluate the risk factors for BCRL and determine whether immediate autologous tissue breast reconstruction is one of them. A case control study was conducted comparing patients with BCRL (n=97) to surgically treated breast cancer patients without BCRL (control, n=126). The groups were matched for age, type of breast surgery and radiation therapy. Postoperative upper extremity infection, body mass index (BMI), occupation (level of hand-use), and immediate autologous tissue breast reconstruction were investigated as a risk factor of BCRL. Mastectomy was performed on 47.6 % (n=60) and 37.2% (n=36) of patients in the control and the BCRL groups, respectively. Eight patients (13.3%) had immediate autologous tissue breast reconstruction in the control mastectomy group. Six of 36 BCRL patients (16.7%) underwent mastectomy with immediate autologous tissue breast reconstruction. There was no significant difference between groups with respect to incidence or method of immediate reconstruction (p=0.65). Patient occupation (level of hand use) was found to be positively correlated to development of BCRL (p=0.0001). Upper extremity infection rate was 22.7% in the BCRL group and 4.0% in the controls (p=0.0001). The mean BMI in the control and BCRL groups 26.8 kg/m2 and 29.1kg/m2, respectively (p=0.003). In conclusion, in this study characteristics positively associated with development of BCRL included occupation, infection, and increased BMI. Immediate reconstruction of the breast was not found as a risk factor for BCRL. However larger studies are needed, to further evaluate the effect of breast reconstruction on BCRL.