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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2018.1
- 수록면
- 1 - 8 (8page)
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Objective: Accumulating evidence support that complete cytoreduction (CC) at the time of secondary cytoreductive surgery (SCS) improves survival in patients affected by recurrent ovarian cancer (ROC). Here, we aimed to determine whether artificial intelligence (AI) might be useful in weighting the importance of clinical variables predicting CC and survival. Methods: This is a retrospective study evaluating 194 patients having SCS for ROC. Using artificial neuronal network (ANN) analysis was estimated the importance of different variables, used in predicting CC and survival. ANN simulates a biological neuronal system. Like neurons, ANN acquires knowledge through a learning-phase process and allows weighting the importance of covariates, thus establishing how much a variable influences a multifactor phenomenon. Results: Overall, 82.9% of patients had CC at the time of SCS. Using ANN, we observed that the 3 main factors driving the ability of achieve CC included: disease-free interval (DFI) (importance: 0.231), retroperitoneal recurrence (importance: 0.178), residual disease at primary surgical treatment (importance: 0.138), and International Federation of Gynecology and Obstetrics (FIGO) stage at presentation (importance: 0.088). Looking at connections between different covariates and overall survival (OS), we observed that DFI is the most important variable influencing OS (importance: 0.306). Other important variables included: CC (importance: 0.217), and FIGO stage at presentation (importance: 0.100). Conclusion: According to our results, DFI should be considered as the most important factor predicting both CC and OS. Further studies are needed to estimate the clinical utility of AI in providing help in decision making process.
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참고문헌 (17)
참고문헌 신청
Kumar A / 2017 / Inflammatory and nutritional serum markers as predictors of peri-operative morbidity and survival in ovarian cancer / Anticancer Res 37:3673~3677
Colombo N / 2017 / Impact of recurrence of ovarian cancer on quality of life and outlook for the future / Int J Gynecol Cancer 27:1134~1140
Harter P / 2006 / Surgery in recurrent ovarian cancer: the Arbeitsgemeinschaft Gynaekologische Onkologie (AGO) DESKTOP OVAR trial / Ann Surg Oncol 13:1702~1710
Harter P / 2011 / Prospective validation study of a predictive score for operability of recurrent ovarian cancer: the Multicenter Intergroup Study DESKTOP II. A project of the AGO Kommission OVAR, AGO Study Group, NOGGO, AGO-Austria, and MITO / Int J Gynecol Cancer 21:289~295
AGO Study Group (DE) / Study comparing tumor debulking surgery versus chemotherapy alone in recurrent platinum-sensitive ovarian cancer (DESKTOP III). ClinicalTrials.gov Identifier: NCT01166737
Colombo N / 2017 / Impact of recurrence of ovarian cancer on quality of life and outlook for the future / Int J Gynecol Cancer 27:1134~1140
Harter P / 2006 / Surgery in recurrent ovarian cancer: the Arbeitsgemeinschaft Gynaekologische Onkologie (AGO) DESKTOP OVAR trial / Ann Surg Oncol 13:1702~1710
Harter P / 2011 / Prospective validation study of a predictive score for operability of recurrent ovarian cancer: the Multicenter Intergroup Study DESKTOP II. A project of the AGO Kommission OVAR, AGO Study Group, NOGGO, AGO-Austria, and MITO / Int J Gynecol Cancer 21:289~295
AGO Study Group (DE) / Study comparing tumor debulking surgery versus chemotherapy alone in recurrent platinum-sensitive ovarian cancer (DESKTOP III). ClinicalTrials.gov Identifier: NCT01166737
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