지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2019.1
- 수록면
- 1,144 - 1,155 (12page)
이용수
초록· 키워드
오류제보하기
Purpose Discovery of models predicting the exact prognosis of epithelial ovarian cancer (EOC) is necessary as the first step of implementation of individualized treatment. This study aimed to develop nomograms predicting treatment response and prognosis in EOC. Materials and Methods We comprehensively reviewed medical records of 866 patients diagnosed with and treated for EOC at two tertiary institutional hospitals between 2007 and 2016. Patients’ clinicopathologic characteristics, details of primary treatment, intra-operative surgical findings, and survival outcomes were collected. To construct predictive nomograms for platinum sensitivity, 3-year progression-free survival (PFS), and 5-year overall survival (OS), we performed stepwise variable selection by measuring the area under the receiver operating characteristic curve (AUC) with leave-one-out cross-validation. For model validation, 10-fold cross-validation was applied. Results The median length of observation was 42.4 months (interquartile range, 25.7 to 69.9 months), during which 441 patients (50.9%) experienced disease recurrence. The median value of PFS was 32.6 months and 3-year PFS rate was 47.8% while 5-year OS rate was 68.4%. The AUCs of the newly developed nomograms predicting platinum sensitivity, 3-year PFS, and 5-year OS were 0.758, 0.841, and 0.805, respectively. We also developed predictive nomograms confined to the patients who underwent primary debulking surgery. The AUCs for platinum sensitivity, 3-year PFS, and 5-year OS were 0.713, 0.839, and 0.803, respectively. Conclusion We successfully developed nomograms predicting treatment response and prognosis of patients with EOC. These nomograms are expected to be useful in clinical practice and designing clinical trials.
목차
등록된 정보가 없습니다.
참고문헌 (27)
참고문헌 신청
Siegel RL / 2017 / Cancer statistics, 2017 / CA Cancer J Clin 67:7~30
Howlader N / SEER cancer statistics review, 1975-2014
Global Burden of Disease Cancer Collaboration / 2015 / The global burden of cancer 2013 / JAMA Oncol 1:505~527
임명철 / 2013 / Incidence of cervical, endometrial, and ovarian cancer in Korea, 1999-2010 / Journal of Gynecologic Oncology 24(4):298~302
Smith LH / 2005 / Romano PS. Ovarian cancer: can we make the clinical diagnosis earlier? / Cancer 104:1398~1407
Howlader N / SEER cancer statistics review, 1975-2014
Global Burden of Disease Cancer Collaboration / 2015 / The global burden of cancer 2013 / JAMA Oncol 1:505~527
임명철 / 2013 / Incidence of cervical, endometrial, and ovarian cancer in Korea, 1999-2010 / Journal of Gynecologic Oncology 24(4):298~302
Smith LH / 2005 / Romano PS. Ovarian cancer: can we make the clinical diagnosis earlier? / Cancer 104:1398~1407
함께 읽어보면 좋을 논문
논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
-
Nomograms Predicting Platinum Sensitivity, Progression-Free Survival, and Overall Survival Using Pretreatment Complete Blood Cell Counts in Epithelial Ovarian Cancer
Cancer Research and Treatment
2017 .07
-
Nomograms to Predict the Individual Survival of Patients with Solitary Hepatocellular Carcinoma after Hepatectomy
Gut and Liver
2017 .01
-
Prediction of postoperative pancreatic fistula using a nomogram based on the updated definition
Annals of Surgical Treatment and Research
2020 .02
-
Development of a nomogram for predicting prognosis of pancreatic cancer after pancreatectomy
Annals of Hepato-Biliary-Pancreatic Surgery
2022 .12
-
치의학 연구에서 노모그램을 이용한 표본수 계산
대한치과의사협회지
2016 .08
-
Survival Nomograms after Curative Neoadjuvant Chemotherapy and Radical Surgery for Stage IB2-IIIB Cervical Cancer
Cancer Research and Treatment
2018 .01
-
Novel Prognostic Nomograms Based on Inflammation-Related Markers for Patients with Hepatocellular Carcinoma Underwent Hepatectomy
Cancer Research and Treatment
2019 .01
-
Nomogram to Predict the Risk of Osteoporosis after Gastrectomy for Gastric Cancer
대한외과학회 학술대회 초록집
2020 .11
-
Hypoalbuminemia, Low Base Excess Values, and Tachypnea Predict 28-Day Mortality in Severe Sepsis and Septic Shock Patients in the Emergency Department
Yonsei Medical Journal
2016 .01
-
External Validation for General Applicability of Seoul National University Gastric Cancer Nomogram
대한임상종양학회 학술대회지
2015 .02
-
Development and Validation of Web-Based Nomograms to Precisely Predict Survival Outcomes of Non-metastatic Nasopharyngeal Carcinoma in an Endemic Area
Cancer Research and Treatment
2021 .01
-
A personalized prognostic model for long-term survival in patients with intrahepatic cholangiocarcinoma: a retrospective cohort study
Annals of Surgical Treatment and Research
2024 .07
-
Predicting Successful Conservative Surgery after Neoadjuvant Chemotherapy in Hormone Receptor-Positive, HER2-Negative Breast Cancer
Journal of Breast Disease
2018 .01
-
Novel Prognostic Nomograms for Hepatocellular Carcinoma Patients with Microvascular Invasion: Experience from a Single Center
Gut and Liver
2019 .01
-
Proposal of nomograms to predict clinical outcomes in patients with ampulla of vater cancer based on the Korea-Japan collaborative study: A retrospective study
Annals of Hepato-Biliary-Pancreatic Surgery
2022 .12
-
Nomogram for Predicting Positive Resection Margin after Breast-Conserving Surgery Following Neoadjuvant Chemotherapy
대한외과학회 학술대회 초록집
2022 .05
-
Nomogram for predicting central lymph node metastasis in papillary thyroid carcinoma
대한외과학회 학술대회 초록집
2016 .05
-
Prognostic nomogram of hypoxia -related genes predicting overall survival of colorectal cancer -Analysis of TCGA database
대한임상종양학회 학술대회지
2019 .02
-
Nomogram for predicting postoperative pancreatic fistula after minimally invasive pancreaticoduodenectomy
Annals of Hepato-Biliary-Pancreatic Surgery
2022 .12
-
A model for predicting gestational diabetes mellitus in early pregnancy: a prospective study in Thailand
Obstetrics & Gynecology Science
2022 .03
이 논문의 저자 정보
최근 본 자료
댓글(0)
0