• 제목/요약/키워드: Recurrence Prediction

검색결과 63건 처리시간 0.024초

A prediction model of low back pain risk: a population based cohort study in Korea

  • Mukasa, David;Sung, Joohon
    • The Korean Journal of Pain
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    • 제33권2호
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    • pp.153-165
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    • 2020
  • Background: Well-validated risk prediction models help to identify individuals at high risk of diseases and suggest preventive measures. A recent systematic review reported lack of validated prediction models for low back pain (LBP). We aimed to develop prediction models to estimate the 8-year risk of developing LBP and its recurrence. Methods: A population based prospective cohort study using data from 435,968 participants in the National Health Insurance Service-National Sample Cohort enrolled from 2002 to 2010. We used Cox proportional hazards models. Results: During median follow-up period of 8.4 years, there were 143,396 (32.9%) first onset LBP cases. The prediction model of first onset consisted of age, sex, income grade, alcohol consumption, physical exercise, body mass index (BMI), total cholesterol, blood pressure, and medical history of diseases. The model of 5-year recurrence risk was comprised of age, sex, income grade, BMI, length of prescription, and medical history of diseases. The Harrell's C-statistic was 0.812 (95% confidence interval [CI], 0.804-0.820) and 0.916 (95% CI, 0.907-0.924) in validation cohorts of LBP onset and recurrence models, respectively. Age, disc degeneration, and sex conferred the highest risk points for onset, whereas age, spondylolisthesis, and disc degeneration conferred the highest risk for recurrence. Conclusions: LBP risk prediction models and simplified risk scores have been developed and validated using data from general medical practice. This study also offers an opportunity for external validation and updating of the models by incorporating other risk predictors in other settings, especially in this era of precision medicine.

Importance of Neutrophil/Lymphocyte Ratio in Prediction of PSA Recurrence after Radical Prostatectomy

  • Gazel, Eymen;Tastemur, Sedat;Acikgoz, Onur;Yigman, Metin;Olcucuoglu, Erkan;Camtosun, Ahmet;Ceylan, Cavit;Ates, Can
    • Asian Pacific Journal of Cancer Prevention
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    • 제16권5호
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    • pp.1813-1816
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    • 2015
  • Background: The aim of this study was to research the importance of the neutrophil to lymphocyte ratio (NLR) in prediction of PSA recurrence after radical prostatectomy, which has not been reported so far. Materials and Methods: The data of 175 patients who were diagnosed with localised prostate cancer and underwent retropubic radical prostatectomy was retrospectively examined. Patient pre-operative hemogram parameters of neutrophil count, lymphocyte count and NLR were assessed. The patients whose PSAs were too low to measure after radical prostatectomy in their follow-ups, and then had PSAs of 0,2 ng/mL were considered as patients with PSA recurrence. Patients with recurrence made up Group A and patients without recurrence made up Group B. Results: In terms of the power of NLR value in distinguishing recurrence, the area under OCC was statistically significant (p<0.001) .The value of 2.494 for NLR was found to be a cut-off value which can be used in order to distinguish recurrence according to Youden index. According to this, patients with a higher NLR value than 2.494 had higher rates of PSA recurrence with 89.7% sensitivity and 92.6% specificity. Conclusions: There are certain parameters used in order to predict recurrence with today's literature data.We think that because NLR is easy to use in clinics and inexpensive, and also has high sensitivity and specificity values, it has the potential to be one of the parameters used in order to predict biochemical recurrence in future.

Prediction of Time to Recurrence and Influencing Factors for Gastric Cancer in Iran

  • Roshanaei, Ghodratollah;Ghannad, Masoud Sabouri;Safari, Maliheh;Sadighi, Sanambar
    • Asian Pacific Journal of Cancer Prevention
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    • 제13권6호
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    • pp.2639-2642
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    • 2012
  • Background: The patterns of gastric cancer recurrence vary across societies. We designed the current study in an attempt to evaluate and reveal the outbreak of the recurrence patterns of gastric cancer and also prediction of time to recurrence and its effected factors in Iran. Materials and Methods: This research was performed from March 2003 to February 2007. Demographic characteristics, clinical and pathological diagnosis and classification including pathologic stage, tumor grade, tumor site and tumor size in of patients with GC recurrent were collected from patients' data files. To evaluate of factors affected on the relapse of the GC patients, gender, age at diagnosis, treatment type and Hgb were included in the research. Data were analyzed using Kaplan-Meier and logistic regression models. Results: After treatment, 82 patients suffered recurrence, 42, 33 and 17 by the ends of first, second and third years. The mean ( SD) and median ( IQR) time to recurrence in patients with GC were 25.5 (20.6-30.1) and 21.5 (15.6-27.1) months, respectively. The results of multivariate analysis logistic regression showed that only pathologic stage, tumor grade and tumor site significantly affected the recurrence. Conclusions: We found that pathologic stage, tumor grade and tumor site significantly affect on the recurrence of GC which has a high positive prognostic value and might be functional for better follow-up and selecting the patients at risk. We also showed time to recurrence to be an important factor for follow-up of patients.

RMR을 이용한 풍화암 터널의 천단침하량 예측 평가 (Application for Prediction of Crown Settlements Using RMR in Weathering Rock Tunnels)

  • 김영수;김대만
    • 한국지반공학회논문집
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    • 제25권10호
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    • pp.67-76
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    • 2009
  • 국내 풍화암 터널현장에서 수집한 RMR 평점, RMR* 평점 그리고 천단침하량의 자료를 이용하여 통계적 분석을 실시하였으며, 분석된 자료를 이용하여 회귀분석, 지수함수, 그리고 인공신경망(ANN)으로 천단침하량을 예측하였다. 예측 결과, ANN, 지수함수에 의한 근사함수, 그리고 회귀분석의 천단침하량 예측 순으로 실측치에 근접하였다. 회귀분석으로 추정된 천단침하량의 범위는 매우 넓게 분포하였으며, 계측치에 비하여 과대한 침하량을 예측하였다. 또한 모든 방법에서 RMR 평점을 사용한 예측이 RMR* 평점을 사용하여 예측한 결과보다 계측 침하량에 더 가까운 예측을 하였다.

Tumor Diameter for Prediction of Recurrence, Disease Free and Overall Survival in Endometrial Cancer Cases

  • Senol, Taylan;Polat, Mesut;Ozkaya, Enis;Karateke, Ates
    • Asian Pacific Journal of Cancer Prevention
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    • 제16권17호
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    • pp.7463-7466
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    • 2015
  • Aims: To analyse the predictors of recurrence, disease free survival and overall survival in cases with endometrial cancer. Materials and Methods: A total of 152 women diagnosed with endometrial cancer were screened using a prospectively collected database including age, smoking history, menopausal status, body mass index, CA125, systemic disorders, tumor histology, tumor grade, lymphovascular space invasion, tumor diameter, cervical involvement, myometrial invasion, adnexal metastases, positive cytology, serosal involvement, other pelvic metastases, type of surgery, fertility sparing approach to assess their ability to predict recurrence, disease free survival and overall survival. Results: In ROC analyses tumor diameter was a significant predictor of recurrence (AUC:0.771, P<0.001). The optimal cut off value was 3.75 with 82% sensitivity and 63% specificity. In correlation analyses tumor grade (r=0.267, p=0.001), tumor diameter (r=0.297, p<0.001) and the serosal involvement (r=0.464, p<0.001) were found to significantly correlate with the recurrence. In Cox regression analyses when some different combinations of variables included in the model which are found to be significantly associated with the presence of recurrence, tumor diameter was found to be a significant confounder for disease free survival (OR=1.2(95 CI,1.016-1.394, P=0.031). On Cox regression for overall survival only serosal involvement was found to be a significant predictor (OR=20.8 (95 % CI 2.4-179.2, P=0.006). In univariate analysis of tumor diameter > 3.75 cm and the recurrence, there was 14 (21.9 %) cases with recurrence in group with high tumor diameter where as only 3 (3.4 %) cases group with smaller tumor size (Odds ratio:7.9 (95 %CI 2.2-28.9, p<0.001). Conclusions: Although most of the significantly correlated variables are part of the FIGO staging, tumor diameter was also found to be predictor for recurrence with higher values than generally accepted.

치성 각화낭종의 임상적 연구 (CLINICAL STUDY OF ODONTOGENIC KERATOCYST)

  • 성화식;이주민;황대석;김용덕;김욱규;김종렬;정인교;신상훈
    • Journal of the Korean Association of Oral and Maxillofacial Surgeons
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    • 제35권2호
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    • pp.89-93
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    • 2009
  • Purpose: The purpose of this study is to investigate the clinical and histological features of odontogenic keratocyst Patients and Methods: A retrosective review of 100 patients who were diagnosed as odontogenic keratocyst by hitological findings during the period of January 2000 and December 2005 in the Dept. of Oral and Maxillofacial surgery Pusan National University was consecuted. For each patient, age, sex, location of lesion, initial diagnosis by radiographic features, treatment procedure, hitologic findings and recurrance rate were evaluated. Results: In this study, OKC has male prevalance to female by 1.38:1, and most likely occurs during third decade. The most common site of lesion was mandibular ramus region(34.6%) and the most common symptom was swelling(50%). The most common initial diagnosis by radiographic findings was OKC and cyst enucleation was the most common treatment method. The recurrance rate was 28% and existence of daugther cyst is thought to be most convincing factor for prediction of recurrence. Conclusion: In this study, total recurrence rate was 28% and existence of daugther cyst is thought to be most convincing factor for prediction of recurrence. But, since 97% of patients were treated by enucleation and adjuntive excision, further styudy is need about concordance of recurrence rate with surgical method.

Breast Cancer Recurrence According to Molecular Subtype

  • Shim, Hee Jin;Kim, Sung Hun;Kang, Bong Joo;Choi, Byung Gil;Kim, Hyeon Sook;Cha, Eun Suk;Song, Byung Joo
    • Asian Pacific Journal of Cancer Prevention
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    • 제15권14호
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    • pp.5539-5544
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    • 2014
  • Background: To evaluate the location of tumor relapse and imaging modality for detection according to the breast cancer subtype: luminal A, luminal B, HER2 positive luminal B, nonluminal HER2 positive, and triple negative. Materials and Methods: A total of 1244 patients with breast cancer with known estrogen receptor (ER), progesterone receptor (PR), Ki-67 and human epidermal growth factor receptor 2 (HER2), who underwent breast surgery from 2009 to 2012 were analyzed. Patients were classified into the following categories: luminal A (n=458), luminal B (n=241), HER2 positive luminal B (n=227), nonluminal HER2 positive (n=145) and triple negative (n=173). A total of 105 cases of relapse were detected in 102 patients: locoregional recurrence (n=46), recurrence in the contralateral breast (n=28) and distant metastasis (n=31). Comparison of proportions was used to determine the difference between subtypes. Results: Relapse rates by subtypes are as follows: luminal A 23 of 458 (5.02%), luminal B 19 of 241(7.88%), HER2 positive luminal B 15 of 227 (6.61%), nonluminal HER2 postive 19 of 145 (13.10%) and triple negative 29 of 173(16.76%). Luminal A tumors had the lowest rate of recurrence and had significantly lower recurrence rate in comparison with nonluminal HER2 postive (p=0.0017) and triple negative subtypes (p<0.0001). Compared with all other subtypes except nonluminal HER2 positive, triple negative tumors had the highest rate of tumor recurrence (p<0.01). Triple negatives were most likely to develop contralateral recurrence against all subtypes (p<0.05). Detection rate of locoregional and contralateral tumor recurrence were 28.3% on mammography (n=17/60). Conclusions: Luminal A tumors are associated with a low risk of recurrence while triple negative lesions have a high risk. In case of triple negative tumors, the contralateral breast has much more recurrence as compared with all other subtype. In terms of detection rates, breast USG was the best modality for detecting tumor recurrence, compared with other modalities (p<0.05). Subtyping of breast tumors using a molecular gene expression panel can identify patients who have increased risk of recurrence and allow prediction of locations of tumor recurrence for each subtype.

흉부 CT 영상에서 비소세포폐암 환자의 재발 예측을 위한 종양 내외부 영상 패치 기반 앙상블 학습 (Ensemble Learning Based on Tumor Internal and External Imaging Patch to Predict the Recurrence of Non-small Cell Lung Cancer Patients in Chest CT Image)

  • 이예슬;조아현;홍헬렌
    • 한국멀티미디어학회논문지
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    • 제24권3호
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    • pp.373-381
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    • 2021
  • In this paper, we propose a classification model based on convolutional neural network(CNN) for predicting 2-year recurrence in non-small cell lung cancer(NSCLC) patients using preoperative chest CT images. Based on the region of interest(ROI) defined as the tumor internal and external area, the input images consist of an intratumoral patch, a peritumoral patch and a peritumoral texture patch focusing on the texture information of the peritumoral patch. Each patch is trained through AlexNet pretrained on ImageNet to explore the usefulness and performance of various patches. Additionally, ensemble learning of network trained with each patch analyzes the performance of different patch combination. Compared with all results, the ensemble model with intratumoral and peritumoral patches achieved the best performance (ACC=98.28%, Sensitivity=100%, NPV=100%).

Can Recurrence and Progression be Predicted by HYAL-1 Expression in Primary T1 Bladder Cancer?

  • Mammadov, Elnur;Aslan, Guven;Tuna, Burcin;Bozkurt, Ozan;Yorukoglu, Kutsal
    • Asian Pacific Journal of Cancer Prevention
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    • 제15권23호
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    • pp.10401-10405
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    • 2015
  • Background: Molecular prognostic markers have been under investigation for the last decade and no validated marker to date has been proven to be used in daily clinical practice for urinary bladder cancers. The aim of the present study is to evaluate the significance of HYAL-1 expression in prediction of recurrence and progression in pT1 urothelial carcinomas. Materials and Methods: Eighty-nine urothelial carcinoma cases staged as T1 according to 2004 WHO classification were studied. Representative sections from every case were stained immunohistochemically for HYAL-1 and scored between 0 and +3, according to staining density, and graded as low and high for the scores 0-1 and 2-3, respectively. Results: Of the 89 pT1 bladder cancer patients, HYAL-1 expression was high in 92.1% (82 patients; 72 patients +3 and 10 patients +2) and low in 7.9% (only 7 patients; 6 patients +1 and 1 patient 0) of the cases. Of the 89 patients, 38 (42.7%) had recurrence and 22 (24.7%) showed progression. HYAL-1 staining did not show significant characteristics for tumor grade, accompanying CIS, multiplicity, tumor size, age and sex. HYAL-1 expression did not have any prognostic value in estimating recurrence or progression. Conclusions: HYAL-1 expression was found to be high, but did not have any prognostic importance in T1 bladder urothelial carcinomas.

2기 대장암 환자에서의 수술 후 보조 항암화학요법 (Post-operative Adjuvant Chemotherapy in Patients with Stage II Colon Cancer)

  • 박재준
    • Journal of Digestive Cancer Research
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    • 제3권2호
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    • pp.89-94
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    • 2015
  • The role of adjuvant chemotherapy in patients with stage II colon cancer remains a controversial issue. Adjuvant chemotherapy aims to eliminate any micrometastatic disease that may have been missed, at the time of surgery. Although one prospective study showed a small but statistically significant benefit with respect to the overall survival for those who received adjuvant chemotherapy, multiple pooled data did not demonstrate any benefit of this therapy in patients with stage II colon cancer. Current national and international guidelines for the adjuvant treatment of stage II colon dose not advise routine implementation of adjuvant chemotherapy, but rather recommend selective use of this therapy for patients with high risk of recurrence. High risk features for recurrence include T4 disease, poorly differentiated histology, presence of lymphovascular invasion, presence of perineural invasion, inadequate retrieval of lymph nodes, bowel obstruction, localized perforation, or positive margins. More recently, prediction tools using gene expression cancer profiles are proposed to identify patients who are most likely to have recurrence and therefore may benefit from postoperative chemotherapy in stage II colon cancer. These novel methods together with conventional prognosticators, will allow us to implement more optimized personalizing adjuvant therapy in these patients.

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