• 제목/요약/키워드: Disease prediction

검색결과 543건 처리시간 0.028초

Evaluation of Biochemical Recurrence-free Survival after Radical Prostatectomy by Cancer of the Prostate Risk Assessment Post-Surgical (CAPRA-S) Score

  • Aktas, Binhan Kagan;Ozden, Cuneyt;Bulut, Suleyman;Tagci, Suleyman;Erbay, Guven;Gokkaya, Cevdet Serkan;Baykam, Mehmet Murat;Memis, Ali
    • Asian Pacific Journal of Cancer Prevention
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    • 제16권6호
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    • pp.2527-2530
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    • 2015
  • Background: The cancer of the prostate risk assessment (CAPRA) score has been defined to predict prostate cancer recurrence based on the pre-clinical data, then pathological data have also been incorporated. Thus, CAPRA post-surgical (CAPRA-S) score has been developed based on six criteria (prostate specific antigen (PSA) at diagnosis, pathological Gleason score, and information on surgical margin, seminal vesicle invasion, extracapsular extension and lymph node involvement) for the prediction of post-surgical recurrences. In the present study, biochemical recurrence (BCR)-free probabilities after open retropubic radical prostatectomy (RP) were evaluated by the CAPRA-S scoring system and its three-risk level model. Materials and Methods: CAPRA-S scores (0-12) of our 240 radical prostatectomies performed between January 2000-May 2011 were calculated. Patients were distributed into CAPRA-S score groups and also into three-risk groups as low, intermediate and high. BCR-free probabilities were assessed and compared using Kaplan-Meier analysis and Cox proportional hazards regression. Ability of CAPRA-S in BCR detection was evaluated by concordance index (c-index). Results: BCR was present in 41 of total 240 patients (17.1%) and the mean follow-up time was $51.7{\pm}33.0$ months. Mean BCR-free survival time was 98.3 months (95% CI: 92.3-104.2). Of the patients in low, intermediate and high risk groups, 5.4%, 22.0% and 58.8% had BCR, respectively and the difference among the three groups was significant (P = 0.0001). C-indices of CAPRA-S score and three-risk groups for detecting BCR-free probabilities in 5-yr were 0.87 and 0.81, respectively. Conclusions: Both CAPRA-S score and its three-risk level model well predicted BCR after RP with high c-index levels in our center. Therefore, it is a clinically reliable post-operative risk stratifier and disease recurrence predictor for prostate cancer.

방사선사진과 임상검사에서 하악 대구치 치근의 형태학적 구조 및 치조골 수준에 관한 비교연구 (The Comparative Study of Alveolar Bone Level and Root Form of the Mandibular Molar on Radiographic Image and Clinical Examination)

  • 박정배;정진형
    • Journal of Periodontal and Implant Science
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    • 제34권2호
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    • pp.281-292
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    • 2004
  • Periodontal defects of the furcation are characterized by several inherent anatomic factors that can make successful periodontal therapy difficult and results unpredictable. The severity and rate of occurrence of periodontal disease are directly related to the location of the furcation relative to the cementa-enamel junction and anatomical form of the root by limiting the accessibility and effectiveness of the periodontal instrumentation. This study investigated the reliability and accuracy of panoramic radiograph diagnoses of the periodontal state of mandibular molars, particularly regarding the diagnosis of furcation area periodontal defects, treatment planning, and prognosis prediction. This study examined a total of 110 teeth belonging to 33 subjects (19 male, 14 female) presenting with incipient to moderate periodontitis 4-7mmpocket depth. The alveolar bone level, length and width of the root trunk, and root separation angle were measured using the panoramic radiograph and compared to the results taken directly by retracting a full-thickness flap. The results of the study are as follows: 1. Data regarding the alveolar bone level of the mandibular first molar showed that the directly taken surgical measurements resulted in $5.1{\pm}0.9mm$ that was slightly deeper than the corresponding panoramic measurement resulted in $4.8{\pm}0.8mm$, but these differences were statistically insignificant (p>0.05). 2. The data of the directly taken surgical measurement of the mandibular second molar $(5.1{\pm}1.1mm)$ was slightly deeper than the corresponding panoramic measurement $(4.7{\pm}1.2mm)$, but these differences were statistically insignificant (p>0.05). 3. The measured values of the length and width of the mandibular first molar root trunks were determined to be $4.1{\pm}0.6mm$ and $7.3{\pm}0.9mm$, respectively, while the values of the mandibular second molar root trunks were determined to be $4.6{\pm}1.3mm$ and $7.6{\pm}0.9mm$ respectively. The differences between these values were found to be statistically significant (p<0.01). 4. The measured values of the root separation angle showed that the mandibular first molars averaged $34.5{\pm}4.4^{\circ}$, while the mandibular second molars averaged $23.0{\pm}10.0^{\circ}$. The differences between these values were found to be statistically significant (p<0.01).

Breast Cancer Trend in Iran from 2000 to 2009 and Prediction till 2020 using a Trend Analysis Method

  • Zahmatkesh, Bibihajar;Keramat, Afsaneh;Alavi, Nasrinossadat;Khosravi, Ahmad;Kousha, Ahmad;Motlagh, Ali Ghanbari;Darman, Mahboobeh;Partovipour, Elham;Chaman, Reza
    • Asian Pacific Journal of Cancer Prevention
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    • 제17권3호
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    • pp.1493-1498
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    • 2016
  • Background: Breast cancer is the most common cancer in women worldwide with a rising incidence rate in most countries. Considering the increase in life expectancy and change in lifestyle of Iranian women, this study investigated the age-adjusted trend of breast cancer incidence during 2000-2009 and predicted its incidence to 2020. Materials and Methods: The 1997 and 2006 census results were used for the projection of female population by age through the cohort-component method over the studied years. Data from the Iranian cancer registration system were used to calculate the annual incidence rate of breast cancer. The age-adjusted incidence rate was then calculated using the WHO standard population distribution. The five-year-age-specific incidence rates were also obtained for each year and future incidence was determined using the trend analysis method. Annual percentage change (APC) was calculated through the joinpoint regression method. Results: The bias adjusted incidence rate of breast cancer increased from 16.7 per 100,000 women in 2000 to 33.6 per 100,000 women in 2009. The incidence of breast cancer had a growing trend in almost all age groups above 30 years over the studied years. In this period, the age groups of 45-65 years had the highest incidence. Investigation into the joinpoint curve showed that the curve had a steep slope with an APC of 23.4% before the first joinpoint, but became milder after this. From 2005 to 2009, the APC was calculated as 2.7%, through which the incidence of breast cancer in 2020 was predicted as 63.0 per 100,000 women. Conclusions: The age-adjusted incidence rate of breast cancer continues to increas in Iranian women. It is predicted that this trend will continue until 2020. Therefore, it seems necessary to prioritize the prevention, control and care for breast cancer in Iran.

Does Human Epididymis Protein 4 (HE4) Have a Role in Prediction of Recurrent Epithelial Ovarian Cancer

  • Innao, Pedrada;Pothisuwan, Methasinee;Pengsa, Prasit
    • Asian Pacific Journal of Cancer Prevention
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    • 제17권9호
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    • pp.4483-4486
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    • 2016
  • Background: Despite the fact that ovarian cancer is the seventh most common cancer in women worldwide and the fifth leading cause of cancer death, It is the most common cause of death due to reproductive cancers in Thailand where epithelial ovarian cancer (EOC) is commonly found. According to a Thai statistical analysis in 2010 by the Department of Medical Services, epithelial ovarian cancer was the sixth most common cancer in Thailand from 2001to 2003.The incidence of 5.1 per 100,000 women per year. Human epididymis protein 4 (HE4) is a novo diagnostic tumor marker for EOC. The combination of HE4 and carcinoma antigen 125 (CA 125) is a tool for detecting epithelial ovarian cancer (EOC) better than using CA 125 alone. Therefore, the researcher is interested in HE4 does have a role to predict recurrent epithelial ovarian cancer. Materials and Methods: The patients who had complete response after diagnosed with epithelial ovarian cancer by pathology, FIGO stage 3 or more had been treated through surgery and chemotherapy at the Sunpasitthiprasong Hospital from June 2014 until March 2016. The patients were followed up every three months, using tumor marker (CA 125, HE4,Carcinoma antigen 19-9) together with other checkup methods, such as rectovaginal examination, CXR every year and other imaging as indication. Afterwards, the data was analyzed for the ability of HE4 to detect recurrence of epithelial ovarian cancer. Results: In 47 patients in this study follow-up for 22 months after complete response treatment from surgery and chemotherapy in epithelial ovarian cancer, 23 had recurrent disease and HE4 titer rising. The patients with recurrent epithelial ovarian cancer demonstrated high levels of both HE4 and CA125 with sensitivity of 91.3% and 52.7% respectively, specificity of 87.5% and 95.6% and positive predictive values of 87.5% and 85.7%. HE4 can predict recurrent epithelial ovarian cancer (p-value=0.02242). Comparing HE4 and CA125 in predicting recurrent epithelial ovarian cancer HE4 had more potential than CA125 (p-value =0.8314). Conclusions: The present study showed HE4 to have a role in predicting recurrent epithelial ovarian cancer and HE4 is potentially better than CA125 as a marker for this purpose.

Prediction of response by FDG PET early during concurrent chemoradiotherapy for locally advanced non-small cell lung cancer

  • Kim, Suzy;Oh, So Won;Kim, Jin Soo;Kim, Ki Hwan;Kim, Yu Kyeong
    • Radiation Oncology Journal
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    • 제32권4호
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    • pp.231-237
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    • 2014
  • Purpose: To evaluate the predictive value of the early response of $^{18}F$-flurodeoxyglucose positron emission tomography (FDG PET) during concurrent chemoradiotherapy (CCRT) for locally advanced non-small cell lung cancer (NSCLC). Materials and Methods: FDG PET was performed before and during CCRT for 13 NSCLC patients. Maximum standardized uptake value ($SUV_{max}$), mean standardized uptake value ($SUV_{mean}$), metabolic tumor volume (MTV), and total lesion glycolysis (TLG) were measured and the changes were calculated. These early metabolic changes were compared with the standard tumor response by computed tomograms (CT) one month after CCRT. Results: One month after the completion of CCRT, 9 patients had partial response (PR) of tumor and 4 patients had stable disease. The percent changes of $SUV_{max}$ ($%{\Delta}SUV_{max}$) were larger in responder group than in non-responder group ($55.7%{\pm}15.6%$ vs. $23.1%{\pm}19.0%$, p = 0.01). The percent changes of $SUV_{mean}$ ($%{\Delta}SUV_{mean}$) were also larger in responder group than in non-responder group ($54.4%{\pm}15.9%$ vs. $22.3%{\pm}23.0%$, p = 0.01). The percent changes of MTV ($%{\Delta}MTV$) or TLG ($%{\Delta}TLG$) had no correlation with the tumor response after treatment. All the 7 patients (100%) with $%{\Delta}SUV_{max}{\geq}50%$ had PR, but only 2 out of 6 patients (33%) with $%{\Delta}SUV_{max}$ < 50% had PR after CCRT (p = 0.009). Likewise, all the 6 patients (100%) with $%{\Delta}SUV_{mean}{\geq}50%$ had PR, but only 3 out of 7 patients (43%) with $%{\Delta}SUV_{mean}$ < 50% had PR after CCRT (p = 0.026). Conclusion: The degree of metabolic changes measured by PET-CT during CCRT was predictive for NSCLC tumor response after CCRT.

Improving the Accuracy of Early Diagnosis of Thyroid Nodule Type Based on the SCAD Method

  • Shahraki, Hadi Raeisi;Pourahmad, Saeedeh;Paydar, Shahram;Azad, Mohsen
    • Asian Pacific Journal of Cancer Prevention
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    • 제17권4호
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    • pp.1861-1864
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    • 2016
  • Although early diagnosis of thyroid nodule type is very important, the diagnostic accuracy of standard tests is a challenging issue. We here aimed to find an optimal combination of factors to improve diagnostic accuracy for distinguishing malignant from benign thyroid nodules before surgery. In a prospective study from 2008 to 2012, 345 patients referred for thyroidectomy were enrolled. The sample size was split into a training set and testing set as a ratio of 7:3. The former was used for estimation and variable selection and obtaining a linear combination of factors. We utilized smoothly clipped absolute deviation (SCAD) logistic regression to achieve the sparse optimal combination of factors. To evaluate the performance of the estimated model in the testing set, a receiver operating characteristic (ROC) curve was utilized. The mean age of the examined patients (66 male and 279 female) was $40.9{\pm}13.4years$ (range 15- 90 years). Some 54.8% of the patients (24.3% male and 75.7% female) had benign and 45.2% (14% male and 86% female) malignant thyroid nodules. In addition to maximum diameters of nodules and lobes, their volumes were considered as related factors for malignancy prediction (a total of 16 factors). However, the SCAD method estimated the coefficients of 8 factors to be zero and eliminated them from the model. Hence a sparse model which combined the effects of 8 factors to distinguish malignant from benign thyroid nodules was generated. An optimal cut off point of the ROC curve for our estimated model was obtained (p=0.44) and the area under the curve (AUC) was equal to 77% (95% CI: 68%-85%). Sensitivity, specificity, positive predictive value and negative predictive values for this model were 70%, 72%, 71% and 76%, respectively. An increase of 10 percent and a greater accuracy rate in early diagnosis of thyroid nodule type by statistical methods (SCAD and ANN methods) compared with the results of FNA testing revealed that the statistical modeling methods are helpful in disease diagnosis. In addition, the factor ranking offered by these methods is valuable in the clinical context.

심장외막의 지방두께에 따른 대사질환의 위험도 분석 - 무증상의 검진목적으로 내원한 대상자를 위주로 (Risk Analysis of Factors for Metabolic Diseases according to the Epicaridal Adipose Tissue Thickness - which Focused on the Presented Subjects with Asymptomatic Screening Purposes)

  • 김선화;김정훈;김창수
    • 한국콘텐츠학회논문지
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    • 제16권7호
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    • pp.476-483
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    • 2016
  • 심장외막지방(epicardial adipose tissue, EAT)은 여러 호르몬을 분비하는 대사활성 내분비 기관으로 지방의 두께증가는 심혈관질환이나 대사질환의 위험인자이다. 본 연구는 초음파를 이용하여 대상군의 심장외막 지방두께와 복부피하지방두께를 측정한 후 일반적 특성 및 혈액학적 특성과의 상관관계를 분석하고 대사질환의 예측을 위한 지방두께를 제시하고자 하였다. 연구 결과 대상자의 심장외막지방두께의 평균은 각 단면도에서 각각 8.890mm, 4.783mm, 4.777mm, 6.147mm로 측정되었다. 각 단면에서 심장외막지방두께평균과 위험인자와의 상관관계에서는 나이, BMI, 수축기혈압, LDH, LDL, TC가 양의 상관관계(p<0.05)를 나타냈다. 특히 대사질환의 위험인자를 가지고 있는 대상자가 위험인자를 가지고 있지 않은 대상자에 비하여 심장외막지방두께 및 복부피하지방의 두께가 유의(p<0.05)하게 높게 나타났다. EAT1에서 측정한 심장외막지방 두께 8.950 mm에서 대사질환의 위험을 예측할 수 있는 민감도 66.7 %, 특이도 80 %를 보여 가장 신뢰성 있는 cut off value를 나타냈다.

대사증후군의 인지와 신체활동 실천에 영향을 미치는 요인: 데이터 마이닝 접근 (Factors influencing metabolic syndrome perception and exercising behaviors in Korean adults: Data mining approach)

  • 이수경;문미경
    • 한국산학기술학회논문지
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    • 제18권12호
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    • pp.581-588
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    • 2017
  • 본 연구는 기계 학습법 중 하나인 XGBoost를 이용하여 대사증후군을 인지하고 신체활동을 수행하는 집단을 예측하고자 2014년 7월부터 2015년 12월까지 시도되었다. 이에 2009-2013년 지역사회건강조사를 연구자료로 사용하였고 370,430명의 성인을 분석에 포함하였다. 본 연구의 종속변수는 대사증후군의 인지 및 신체활동 실천정도에 따른 단계로 3단계로 구분하였다:Stage 1(무인지, 무 신체활동), Stage 2(인지, 무 신체활동), and Stage 3(인지, 신체활동). 예측변수로는 5년간의 지역사회건강조사 중 공통으로 수집된 문항으로부터 161개의 특성을 선택하였다. 자료 분석을 위해 R program을 이용하여 XGBoost 알고리즘을 적용하였다. 분석 결과 정확도는 0.735 이었으며, 가장 영향을 미치는 10개의 특성은 나이, 교육수준, 체중조절시도 경험, EQ-5D 운동능력, 영양표시 확인, 개인 건강보험가입 유무, EQ-5D 일상활동, 금연광고경험 여부, 통증유무, 당뇨에 대한 보건기관의 교육 경험 순으로 확인되었다. 본 연구결과는 XGBoost가 보건의료빅데이터를 이용한 질병의 예방과 관리에 영향을 주는 요인을 확인하는데 유용한 도구임을 보여주었다. 또한, 본 연구를 통해 대사증후군에 취약한 계층을 확인하고 이를 위한 교육프로그램 개발에 도움을 줄 수 있을 것으로 보인다.

색채 환경 기반의 인체 반응 정보 측정 시스템 (A Measurement System for Color Environment-based Human Body Reaction)

  • 김지언;정창원;주수종
    • 인터넷정보학회논문지
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    • 제17권2호
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    • pp.59-65
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    • 2016
  • 색채 환경에 따라 인지반응의 상관관계를 분석한 결과가 다양한 산업분야에 적용되고 있다. 특히, 의학 분야에서 색채 환경기반 생체신호를 수집하여 환자 상태의 파악과 치료 그리고 뇌활동의 규명에 관련된 연구가 활발하게 진행되고 있다. 그러나 기존 연구들은 색채조명 또는 LED를 이용한 색채 환경을 구축하여 다양한 실험을 진행하고 있으나 다른 광원에 노출 되어 심리적인 영향을 주는 문제점을 갖고 있다. 따라서, 본 논문에서 제안하는 시스템은 HMD(Head-Mounted-Display)를 이용하여 피험자에게 완벽한 색채 환경조건을 제공하고자 한다. 그리고 인체반응정도 측정을 위해 기억력-주의력 테스트하는 동안 BMS(Bio-Medical-System)으로 생체정보를 수집하여 색채별 인체반응정도 측정뿐만 아니라 심리적인 변화에 대한 상관관계를 확인할 수 있는 시스템을 제안한다. 제안한 시스템을 통하여 수집하는 생체정보는 심전도(ECG), 호흡(Respiration), 산소포화도(SpO2), 임피던스(Bio-Impedance), 혈압(Blood-Pressure) 이며 데이터베이스에 저장한다. 이와함께, 인체의 인지반응을 측정하기위해 기억력-주의력 테스트는 앱으로 구현하여 색채 조건별 인지반응 정보를 측정하고 결과를 확인 할 수 있다. 제안한 시스템을 통하여 수집된 인체반응정보를 활용하여 생리학적 정보의 정량화하는 연구를 진행할 수 있으며, 색채 환경과 생리학적 정보의 상관관계를 분석하여 의학적 진단 및 치료에 응용이 될 것으로 기대한다. 향후 연구로 구축한 시스템을 통해 수집된 데이터를 분석 및 시각화 기능을 추가하고, 치매 질환의 예측 및 치료를 위한 시스템으로 확장하여 재활프로그램으로서의 유효성을 평가하고자 한다.

Frequency and Predictive Factors of Lymph Node Metastasis in Mucosal Cancer

  • Nam, Myung-Jin;Oh, Seung-Jong;Oh, Cheong-Ah;Kim, Dae-Hoon;Bae, Young-Sik;Choi, Min-Gew;Noh, Jae-Hyung;Sohn, Tae-Sung;Bae, Jae-Moon;Kim, Sung
    • Journal of Gastric Cancer
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    • 제10권4호
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    • pp.162-167
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    • 2010
  • Purpose: The incidence of lymph node metastasis has been reported to range from 2.6 to 4.8% in early stage gastric cancer with mucosal invasion (T1a cancer). Lymph node metastasis in early stage gastric cancer is known as an important predictive factor. We analyzed the prediction factors of lymph node metastasis in T1a cancer. Materials and Methods: A total of 9,912 patients underwent radical gastrectomy due to gastric cancer from October 1994 to July 2006 in the Department Of Surgery at Samsung Medical Center. We did a retrospective analysis of 2,524 patients of these patients, ones for whom the cancer was confined within the mucosa. Results: Among the 2,524 patients, 57 (2.2%) were diagnosed with lymph node metastasis, and of these, cancer staging was as follows: 41 were N1, 8 were N2, and 8 were N3a. Univariate analysis of clinicopathological factors showed that the following factors were significant predictors of metastasis: tumor size larger than 4 cm, the presence of middle and lower stomach cancer, poorly differentiated adenocarcinoma and signet-ring cell carcinoma, diffuse type cancer (by the Lauren classification), and lymphatic invasion. Multivariate analysis showed that lymphatic invasion and tumor larger than 4 cm were significant factors with P<0.001 and P=0.024, respectively. Conclusions: The frequency of lymph node metastasis is extremely low in early gastric cancer with mucosal invasion. However, when lymphatic invasion is present or the tumor is larger than 4 cm, there is a greater likelihood of lymph node metastasis. In such cases, surgical treatments should be done to prevent disease recurrence.