• Asian Pacific Journal of Cancer Prevention
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• 제14권1호
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• pp.159-163
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• 2013

Background: This study used Surveillance, Epidemiology and End Results (SEER) pancreatic cancer data to identify predictive models and potential socio-economic disparities in pancreatic cancer outcome. Materials and Methods: For risk modeling, Kaplan Meier method was used for cause specific survival analysis. The Kolmogorov-Smirnov's test was used to compare survival curves. The Cox proportional hazard method was applied for multivariate analysis. The area under the ROC curve was computed for predictors of absolute risk of death, optimized to improve efficiency. Results: This study included 58,747 patients. The mean follow up time (S.D.) was 7.6 (10.6) months. SEER stage and grade were strongly predictive univariates. Sex, race, and three socio-economic factors (county level family income, rural-urban residence status, and county level education attainment) were independent multivariate predictors. Racial and socio-economic factors were associated with about 2% difference in absolute cause specific survival. Conclusions: This study s found significant effects of socio-economic factors on pancreas cancer outcome. These data may generate hypotheses for trials to eliminate these outcome disparities.

• Journal of Gastric Cancer
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• 제5권2호
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• pp.113-119
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• 2005

목적: 표준화된 술식으로 위절제술을 시행한 위암 환자를 대상으로 임상병리학적 특성, 특히 암세포의 림프관, 정맥 및 신경 침범 유무가 환자의 예후에 미치는 영향을 확인 하고자 하였다. 대상 및 방법: 1995년 1월부터 1999년 12월까진 만 5년간 영남대학교 의과대학 부속병원 외과에서 위암으로 진단되어 위절제를 시행받은 1,018명의 의무기록을 토대로 후향적 연구를 시행하였다. 통계는 chi-dquare test를 이용하고 예후 인자들은 Cox proportional hazards regression model을 사용한 다변량 분석을 통해 분석하였다. 생존율은 Kaplan-Meier 방법으로 5년 생존율을 구하고 log-rank test로 검정하였다. 유의 수준은 P < 0.05를 기준으로 하였다. 통계처리는 SPSS for Windows (Version 10.0, SPSS lnc, USA) 프로그램을 이용하였다. 결과: 각 임상병리학적 특성에 대한 단변량 분석 결과, 환자의 연령, 종양의 크기 및 위치, Borrmann형, 조직 분화도, 위절제술의 범위, 암의 위벽 침윤도, 림프절 전이 정도, 병기, 원격 전이 유무, 수술의 근치도 등이 유의하였으며, 이상의 유의한 인다들을 다변량 분석한 결과 암의 위벽 침윤도, 림프절 전이, 림프관 침범, 신경 침범 및 수술의 근치도가 독립적 예후 인자로서 유의하였다. 결론: 기존의 TNM 병기 분류법이 병의 진행 상태를 객관적으로 표현할 수 있고 기본적인 예후 인자로서 역할을 하지만, 병리조직학적 검사 소견에서 림프관 및 신경 침범 유무를 확인하는 것은 위암의 예후 판정에 추가적인 정보를 제공할 수 있을 것으로 기대한다.

• Journal of Chest Surgery
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• 제42권5호
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• pp.610-614
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• 2009

배경: 완전 절제된 IB 비소세포암에서 항암요법의 반드시 필요한가에 대한 여러 보고가 있다. 그래서 본 연구는 완전 절제된 IB 비소세포암 환자에서 재발에 관여하는 예후인자를 찾고 항암요법의 필요성을 알아보았다. 대상 및 방법: 1997년부터 2006년까지 모두 48명의 환자를 후향적으로 조사하였다. 전체생존율과 무병생존율을 위해 Kaplan-Meier method를 사용하였고 단변량 분석은 log rank, 다변량 분석은 Cox 회귀모형을 사용하였다. 결과: 추적중앙값은 48개월, 5년 전체생존율은 55.9%, 5년 무병생존율은 48.6%였다. 단변량 분석에서 장측늑막과 임파혈관 침범이 재발에 유의한 인자였고, 다변량분석에서는 장측늑막침범이 예후인자였다. 또한 장측늑막, 임파혈관 침범 중 한 개 이상의 경우, 없는 경우와 비교하여 전체 생존율에서 의미 있는 차이가 있었다. 결론: 장측늑막침범은 재발 및 생존에 관여하는 불량한 예후인자이며, 항암요법이 필요한 환자를 선택할 때 도움 되는 인자로 생각된다.

• 중소기업연구
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• 제43권3호
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• pp.1-20
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• 2021

약 22,500개의 서비스업 혁신 중소기업을 대상으로 기술수준에 따른 생존기간을 분석하였다. 생존기간은 연체 및 부도의 발생으로 정의하였으며, 기술수준은 기술력 우수기업 군집(T1-T4등급)과 혁신금융 적합기업 군집(T5-T6등급)으로 구분하였다. 카플란-마이어 분석을 통해 기술수준에 따른 생존기간을 추정한 결과 연체와 부도 모두에서 T1-T4등급 서비스업 혁신 중소기업의 추정 생존기간이 T5-T6등급 서비스업 혁신 중소기업에 비해 유의하게 큰 것으로 확인되었다. 이러한 기술수준의 생존기간에 대한 영향력이 통제변수를 적용했을 때에도 유지되는지 Cox 비례위험 모형을 통해 확인하였다. 분석 결과 창업기업군(업력 7년 이하)에서는 기술수준이 낮을수록 위험도가 증가하는 것으로 확인되었지만, 비(非)창업기업군(업력 7년 초과)에서는 기술수준이 생존기간에 유의한 영향을 미치지 못하며 기업의 규모와 관련된 변수의 영향력이 커지는 것으로 나타났다. 따라서 기술수준은 서비스업 창업기업군에서 혁신 중소기업의 생존기간에 유의한 영향력이 있는 부가정보로 의미가 있으며, 서비스업 창업기업군의 중소기업 지원정책 및 육성정책 수립 시 기술수준에 대한 반영이 필요하다는 결론을 도출하였다.

• Korean Journal of Radiology
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• 제25권2호
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• pp.189-198
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• 2024

Objective: To investigate the prognostic utility of radiomics features extracted from ¹⁸F-fluorodeoxyglucose (FDG) PET/CT combined with clinical factors and metabolic parameters in predicting progression-free survival (PFS) and overall survival (OS) in individuals diagnosed with extranodal nasal-type NK/T cell lymphoma (ENKTCL). Materials and Methods: A total of 126 adults with ENKTCL who underwent ¹⁸F-FDG PET/CT examination before treatment were retrospectively included and randomly divided into training (n = 88) and validation cohorts (n = 38) at a ratio of 7:3. Least absolute shrinkage and selection operation Cox regression analysis was used to select the best radiomics features and calculate each patient's radiomics scores (RadPFS and RadOS). Kaplan-Meier curve and Log-rank test were used to compare survival between patient groups risk-stratified by the radiomics scores. Various models to predict PFS and OS were constructed, including clinical, metabolic, clinical + metabolic, and clinical + metabolic + radiomics models. The discriminative ability of each model was evaluated using Harrell's C index. The performance of each model in predicting PFS and OS for 1-, 3-, and 5-years was evaluated using the time-dependent receiver operating characteristic (ROC) curve. Results: Kaplan-Meier curve analysis demonstrated that the radiomics scores effectively identified high- and low-risk patients (all P < 0.05). Multivariable Cox analysis showed that the Ann Arbor stage, maximum standardized uptake value (SUVmax), and RadPFS were independent risk factors associated with PFS. Further, β2-microglobulin, Eastern Cooperative Oncology Group performance status score, SUVmax, and RadOS were independent risk factors for OS. The clinical + metabolic + radiomics model exhibited the greatest discriminative ability for both PFS (Harrell's C-index: 0.805 in the validation cohort) and OS (Harrell's C-index: 0.833 in the validation cohort). The time-dependent ROC analysis indicated that the clinical + metabolic + radiomics model had the best predictive performance. Conclusion: The PET/CT-based clinical + metabolic + radiomics model can enhance prognostication among patients with ENKTCL and may be a non-invasive and efficient risk stratification tool for clinical practice.

• Asian Pacific Journal of Cancer Prevention
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• 제14권4호
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• pp.2567-2570
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• 2013

Background: This study analyzed Surveillance, Epidemiology and End Results (SEER) data to assess if socio-economic factors (SEFs) impact on endometrial cancer survival. Materials and Methods: Endometrial cancer patients treated from 2004-2007 were included in this study. SEER cause specific survival (CSS) data were used as end points. The areas under the receiver operating characteristic (ROC) curve were computed for predictors. Time to event data were analyzed with Kaplan-Meier method. Univariate and multivariate analyses were used to identify independent risk factors. Results: This study included 64,710 patients. The mean follow up time (S.D.) was 28.2 (20.8) months. SEER staging (ROC area of 0.81) was the best pretreatment predictor of CSS. Histology, grade, race/ethnicity and county level family income were also significant pretreatment predictors. African American race and low income neighborhoods decreased the CSS by 20% and 3% respectively at 5 years. Conclusions: This study has found significant endometrial survival disparities due to SEFs. Future studies should focus on eliminating socio-economic barriers to good outcomes.

• 한국조명전기설비학회:학술대회논문집
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• 한국조명전기설비학회 2007년도 춘계학술대회 논문집
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• pp.366-368
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• 2007

In this paper, the Time-varying Failure Rate (TFR) of power distribution system equipment is extracted from the recorded failure data of Korea Electric Power Corporation (KEPCO). For TFR extraction, it is used that the fault data accumulated by KEPCO during 10 years. The TFR is approximated to bathtub curve using the exponential (random failure) and Weibull (aging failure) distribution function. In addition, Kaplan-Meier estimation is applied to TFR extraction because of incomplete failure data of KEPCO. Finally, Probability plot and regression analysis is applied. It is presented that the extracted TFR is more effective and useful than Mean Failure Rate (MFR) through the comparison between TFR and MFR.

• 대한자기공명의과학회:학술대회논문집
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• 대한자기공명의과학회 2003년도 제8차 학술대회 초록집
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• pp.38-39
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• 2003

To evaluate the clinical characteristics and outcome of the patients with disseminated pilocytic astrocytoma compared to non-disseminated disease and to discuss treatment options for disseminated disease. We Identified patients with disseminated pilocytic astrocytoma from our Tumor Registry over 21 years of period and reviewed medical records and neuroimages to determine location of the tumor, pattern of dissemination, clinical characteristics, treatment, and outcome. 24 controls without dissemination, matched for age at diagnosis, tumor histology, and primary location were selected from the same registry and case/control comparison was done using Kaplan-Meier survival analysis.

• Genomics & Informatics
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• 제13권3호
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• pp.86-89
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• 2015

Because there are clear molecular differences entailing different treatment effectiveness between Korean and non-Korean cancer patients, identifying distinct molecular characteristics of Korean cancers is profoundly important. Here, we report a web-based data repository, namely Korean Cancer Genome Database (KCGD), for searching gene signatures associated with Korean cancer patients. Currently, a total of 1,403 cancer genomics data were collected, processed and stored in our repository, an ever-growing database. We incorporated most widely used statistical survival analysis methods including the Cox proportional hazard model, log-rank test and Kaplan-Meier plot to provide instant significance estimation for searched molecules. As an initial repository with the aim of Korean-specific marker detection, KCGD would be a promising web application for users without bioinformatics expertise to identify significant factors associated with cancer in Korean.

• Journal of Korean Biological Nursing Science
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• 제21권4호
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• pp.292-299
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• 2019

Purpose: The purpose of this study was to determine whether poor preoperative nutritional status in elderly patients exhibited a negative influence on postoperative clinical outcomes. Methods: The medical records of 645 elderly patients were examined retrospectively. The patients had undergone major surgery between January 2017 and January 2018. Their nutritional status was measured using the Nutritional Risk Screening 2002. The data were analyzed using the chi-squared test, the Mann-Whitney U test, logistic regression, linear regression, Cox proportional hazards regression, and the Kaplan-Meier analysis. Results: Preoperative malnutrition was found in 73 patients (11.3%). Poor preoperative nutritional status was significantly associated with pressure ulcers, length of hospitalization, discharge to patient care facilities rather than home, and mortality rate at three months. Conclusion: Preoperative malnutrition in elderly patients was associated with negative postoperative clinical outcomes. These results indicate that an effective nutritional program before surgery can lead to a more rapid postoperative recovery.