PubMed Kapalı Erişimli Yayınlar

Permanent URI for this collectionhttps://hdl.handle.net/11727/10764

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Author: search.filters.author.Ayhan, AliSubject: search.filters.subject.endometrial cancer

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    OPEC Study: An International Multicenter Study Of Ovarian Preservation In Endometrial Cancers
    (2022) Akgor, Utku; Ayhan, Ali; Shushkevich, Alexander; Ozdal, Bulent; Angelou, Kyveli; Akbayir, Ozgur; Kaidarova, Dilyara; Ulrikh, Elena; Stepanyan, Artem; Ortac, Firat; Aliyev, Shamistan; Ozgul, Nejat; Taranenka, Siarhei; Haberal, Ali; Salman, Coskun; Seyhan, Alper; Selcuk, Ilker; Haidopoulos, Dimitrios; Akilli, Huseyin; Bolatbekova, Raikhan; Alaverdyan, Areg; Taskin, Salih; Murshudova, Sabina; Batur, Meltem; Berlev, Igor; Gultekin, Murat; https://orcid.org/0000-0002-5240-8441; 35323994; AAX-3230-2020
    Objective To evaluate the feasibility and oncological safety of ovarian preservation in early stage endometrial adenocarcinoma (EC) patients aged 40 and below. Methods A total of 11 institutions from eight countries participated in the study. 169 of 5898 patients aged <= 40 years were eligible for the study. Patients with EC treated between March 2007 and January 2019 were retrospectively assessed. Results The median duration of follow-up after EC diagnosis was 59 months (4-187). Among 169 participants, ovarian preservation surgery (OPS) was performed in 54 (31.9%), and BSO was performed in 115 (68.1%) patients. Although patients younger than 30 years of age were more likely to have OPS than patients aged 30 to 40 years (20.4% vs. 9.6%, P = 0.021), there was no significant difference by the mean age. There were no other relevant baseline differences between OPS and BSO groups. The Kaplan-Meier analysis revealed no difference in either the overall survival (P = 0.955) or recurrence-free survival (P = 0.068) among patients who underwent OPS, and BSO. Conclusion OPS appears to be safe without having any adverse impact on survival in women aged <= 40 years with FIGO Stage I EC.
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    A novel prediction method for lymph node involvement in endometrial cancer: machine learning
    (2019) Gunakan, Emre; Atan, Suat; Haberal, Asuman Nihan; Kucukyildiz, Irem Alyazici; Gokce, Ehad; Ayhan, Ali; 30718313
    Objective The necessity of lymphadenectomy and the prediction of lymph node involvement (LNI) in endometrial cancer (EC) have been hotly-debated questions in recent years. Machine learning is a broad field that can produce results and estimations. In this study we constructed prediction models for EC patients using the Naive Bayes machine learning algorithm for LNI prediction. Methods The study assessed 762 patients with EC. Algorithm models were based on the following histopathological factors: V1: final histology; V2: presence of lymphovascular space invasion (LVSI); V3: grade; V4: tumor diameter; V5: depth of myometrial invasion (MI); V6: cervical glandular stromal invasion (CGSI); V7: tubal or ovarian involvement; and V8: pelvic LNI. Logistic regression analysis was also used to evaluate the independent factors affecting LNI. Results The mean age of patients was 59.1 years. LNI was detected in 102 (13.4%) patients. Para-aortic LNI (PaLNI) was detected in 54 (7.1%) patients, of which four patients had isolated PaLNI. The accuracy rate of the algorithm models was found to be between 84.2% and 88.9% and 85.0% and 97.6% for LNI and PaLNI, respectively. In multivariate analysis, the histologic type, LVSI, depth of MI, and CGSI were independently and significantly associated with LNI (p<0.001 for all). Conclusions Machine learning may have a place in the decision tree for the management of EC. This is a preliminary report about the use of a new statistical technique. Larger studies with the addition of sentinel lymph node status, laboratory findings, or imaging results with machine learning algorithms may herald a new era in the management of EC.
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    Can risk groups accurately predict non-sentinel lymph node metastasis in sentinel lymph node-positive endometrial cancer patients? A Turkish Gynecologic Oncology Group Study (TRSGO-SLN-004)
    (2020) Altin, Duygu; Taskin, Salih; Tokgozoglu, Nedim; Vatansever, Dogan; Guler, Adbul H.; Gungor, Mete; Tasci, Tolga; Turan, Hasan; Kahramanoglu, Ilker; Yalcin, Ibrahim; Celik, Cetin; Kose, Faruk; Ortac, Firat; Arvas, Macit; Ayhan, Ali; Taskiran, Cagatay; 33259650
    Background and Objectives The purpose of this study was to find out the risk factors associated with non-sentinel lymph node metastasis and determine the incidence of non-sentinel lymph node metastasis according to risk groups in sentinel lymph node (SLN)-positive endometrial cancer patients. Methods Patients who underwent at least bilateral pelvic lymphadenectomy after SLN mapping were retrospectively analyzed. Patients were categorized into low, intermediate, high-intermediate, and high-risk groups defined by ESMO-ESGO-ESTRO. Results Out of 395 eligible patients, 42 patients had SLN metastasis and 16 (38.1%) of them also had non-SLN metastasis. Size of SLN metastasis was the only factor associated with non-SLN metastasis (p = .012) as 13/22 patients with macrometastasis, 2/10 with micrometastasis and 1/10 with isolated tumor cells (ITCs) had non-SLN metastasis. Although all 4 metastases (1.8%) among the low-risk group were limited to SLNs, the non-SLN involvement rate in the high-risk group was 42.9% and all of these were seen in patients with macrometastatic SLNs. Conclusions Non-SLN metastasis was more frequent in higher-risk groups and the risk of non-SLN metastasis increased with the size of SLN metastasis. Proceeding to complete lymphadenectomy when SLN is metastatic should further be studied as the effect of leaving metastatic non-SLNs in-situ is not known.