• Korean Journal of Radiology
• /
• 제22권3호
• /
• pp.464-475
• /
• 2021

Objective: This study aimed to evaluate the tumor doubling time of invasive lung adenocarcinoma according to the International Association of the Study for Lung Cancer (IASLC)/American Thoracic Society (ATS)/European Respiratory Society (ERS) histologic classification. Materials and Methods: Among the 2905 patients with surgically resected lung adenocarcinoma, we retrospectively included 172 patients (mean age, 65.6 ± 9.0 years) who had paired thin-section non-contrast chest computed tomography (CT) scans at least 84 days apart with the same CT parameters, along with 10 patients with squamous cell carcinoma (mean age, 70.9 ± 7.4 years) for comparison. Three-dimensional semiautomatic segmentation of nodules was performed to calculate the volume doubling time (VDT), mass doubling time (MDT), and specific growth rate (SGR) of volume and mass. Multivariate linear regression, one-way analysis of variance, and receiver operating characteristic curve analyses were performed. Results: The median VDT and MDT of lung cancers were as follows: acinar, 603.2 and 639.5 days; lepidic, 1140.6 and 970.1 days; solid/micropapillary, 232.7 and 221.8 days; papillary, 599.0 and 624.3 days; invasive mucinous, 440.7 and 438.2 days; and squamous cell carcinoma, 149.1 and 146.1 days, respectively. The adjusted SGR of volume and mass of the solid-/micropapillary-predominant subtypes were significantly shorter than those of the acinar-, lepidic-, and papillary-predominant subtypes. The histologic subtype was independently associated with tumor doubling time. A VDT of 465.2 days and an MDT of 437.5 days yielded areas under the curve of 0.791 and 0.795, respectively, for distinguishing solid-/micropapillary-predominant subtypes from other subtypes of lung adenocarcinoma. Conclusion: The tumor doubling time of invasive lung adenocarcinoma differed according to the IASCL/ATS/ERS histologic classification.

• Korean Journal of Radiology
• /
• 제22권3호
• /
• pp.425-434
• /
• 2021

Objective: To investigate the potential value of ¹⁸F-fluorodeoxyglucose (FDG) PET/CT in predicting the survival of patients with primary tracheal malignant tumors. Materials and Methods: An analysis of FDG PET/CT findings in 37 primary tracheal malignant tumor patients with a median follow-up period of 43.2 months (range, 10.8-143.2 months) was performed. Cox proportional hazards regression analyses were used to assess the associations between quantitative ¹⁸F-FDG PET/CT parameters, other clinic-pathological factors, and overall survival (OS). A risk prognosis model was established according to the independent prognostic factors identified on multivariate analysis. A survival curve determined by the Kaplan-Meier method was used to assess whether the prognosis prediction model could effectively stratify patients with different risks factors. Results: The median survival time of the 37 patients with tracheal tumors was 38.0 months, with a 95% confidence interval of 10.8 to 65.2 months. The 3-year, 5-year and 10-year survival rate were 54.1%, 43.2%, and 16.2%, respectively. The metabolic tumor volume (MTV), total lesion glycolysis (TLG), maximum standardized uptake value, age, pathological type, extension categories, and lymph node stage were included in multivariate analyses. Multivariate analysis showed MTV (p = 0.011), TLG (p = 0.020), pathological type (p = 0.037), and extension categories (p = 0.038) were independent prognostic factors for OS. Additionally, assessment of the survival curve using the Kaplan-Meier method showed that our prognosis prediction model can effectively stratify patients with different risks factors (p < 0.001). Conclusion: This study shows that ¹⁸F-FDG PET/CT can predict the survival of patients with primary tracheal malignant tumors. Patients with an MTV > 5.19, a TLG > 16.94 on PET/CT scans, squamous cell carcinoma, and non-E1 were more likely to have a reduced OS.

• 한국해양학회지:바다
• /
• 제11권4호
• /
• pp.152-157
• /
• 2006

2004년 4월부터 2005년 3월까지 전라북도 김제시 심포면 갯벌에 서식하는 백합의 연령과 성장을 조사하였다. 백합의 패각에 나타나는 윤문은 년 1회 형성되며, 주된 윤문 형성시기는 2월$\sim$4월임을 확인할 수 있었다. 초륜의 형성기간은 약 6개월(0.5년)로 나타났으며, 각장(SL)과 각고(SH)간의 관계는 SH=0.8103 SL + 0.5145$(R^2=0.991)$이고, 각장과 각폭(SW)간의 관계는 SW=0.4897 SL + 0.0315 $(R^2=0.976)$이며, 각장과 전중량(TW)간의 관계는 $TW=2.9195\times10^{-4}\;SL^{2.9547}\;(R^2=0.991)$로 나타났다. 연령 (t)에 대한 각장(SL)의 Bertalanffy 성장식은 $SL_t=104.9(l-e^{-0.2235(t+0.7677)})$였으며, 전중량(TW)의 Bertalanffy 성장식은 $TW_t=280.8(l-e^{-0.2235(t+0.7677)})^{2.9547}$로 추정되었다.

• 대한영상의학회지
• /
• 제81권2호
• /
• pp.379-394
• /
• 2020

목적 유방암 환자의 MRI에서 발견된 추가적 병변의 악성 예측을 위한 점수체계를 설계하고자 하였다. 대상과 방법 68명 유방암 환자의 86개 MRI 발견 병변(64 양성, 22 악성)이 후향적으로 연구되었다. 스튜던트 t 검정, Fisher 정확검정, 로짓 회귀분석을 이용해 영상적 소견과 조직학적 결과의 상관관계를 분석했다. 의미 있는 악성 시사 소견을 기반으로 한 점수체계를 설계하고 그 것의 진단적 능력을 Breast Imaging-Reporting and Data System (이하 BI-RADS) category와 비교하였다. 결과 병변 크기 ≥ 8 mm (p < 0.001), 주 병소와 동일한 사분면에 위치(p = 0.005), 지연기의 고원형 조영 증강(p = 0.010), T2 등신호(p = 0.034) 혹은 저신호 강도(p = 0.024), 불규칙한 종괴 모양(p = 0.028)이 악성과 관련 있었다. 이 소견들과 의심스러운 비종괴 내부 조영 양상을 바탕으로 한 점수체계는 BI-RADS의 진단적 능력을 향상시켰고(area under the curve, 0.918 vs. 0.727), 3개의 위음성 케이스를 방지할 수 있었다. 또한, 22개의 불필요한 2차 초음파 검사(22/66, 33.3%)를 줄일 수 있었다. 결론 병변 크기, 주 병소와의 상대적 위치, 지연기의 조영 증강 양상, T2 신호강도, 종괴의 모양 및 비종괴 내부 조영 양상을 기반으로 한 점수체계는 유방암 환자의 MRI 발견 병소를 평가하는데 있어 정확도를 높여 줄 수 있다.

• Korean Journal of Radiology
• /
• 제20권4호
• /
• pp.671-682
• /
• 2019

Objective: To investigate whether computed tomography (CT) and fluorine-18-labeled fluoro-2-deoxy-D-glucose (FDG) positron emission tomography (PET) may be applied to distinguish thymic epithelial tumors (TETs) from benign cysts in the anterior mediastinum. Materials and Methods: We included 262 consecutive patients with pathologically proven TETs and benign cysts 5 cm or smaller who underwent preoperative CT scans. In addition to conventional morphological and ancillary CT findings, the relationship between the lesion and the adjacent mediastinal pleura was evaluated qualitatively and quantitatively. Mean lesion attenuation was measured on CT images. The maximum standardized uptake value (SUVmax) was obtained with FDG-PET scans in 40 patients. CT predictors for TETs were identified with multivariate logistic regression analysis. For validation, we assessed the diagnostic accuracy and inter-observer agreement between four radiologists in a size-matched set of 24 cysts and 24 TETs using a receiver operating characteristic curve before and after being informed of the study findings. Results: The multivariate analysis showed that post-contrast attenuation of 60 Hounsfield unit or higher (odds ratio [OR], 12.734; 95% confidence interval [CI], 2.506-64.705; p = 0.002) and the presence of protrusion from the mediastinal pleura (OR, 9.855; 95% CI, 1.749-55.535; p = 0.009) were the strongest CT predictors for TETs. SUVmax was significantly higher in TETs than in cysts (5.3 ± 2.4 vs. 1.1 ± 0.3; p < 0.001). After being informed of the study findings, the readers' area under the curve improved from 0.872-0.955 to 0.949-0.999 (p = 0.066-0.149). Inter-observer kappa values for protrusion were 0.630-0.941. Conclusion: Post-contrast CT attenuation, protrusion from the mediastinal pleura, and SUVmax were useful imaging features for distinguishing TETs from cysts in the anterior mediastinum.

• Journal of Korean Neurosurgical Society
• /
• 제67권1호
• /
• pp.94-102
• /
• 2024

Objective : The spontaneous intracerebral hemorrhage (ICH) remains a significant cause of mortality and morbidity throughout the world. The purpose of this retrospective study is to develop multiple models for predicting ICH outcomes using machine learning (ML). Methods : Between January 2014 and October 2021, we included ICH patients identified by computed tomography or magnetic resonance imaging and treated with surgery. At the 6-month check-up, outcomes were assessed using the modified Rankin Scale. In this study, four ML models, including Support Vector Machine (SVM), Decision Tree C5.0, Artificial Neural Network, Logistic Regression were used to build ICH prediction models. In order to evaluate the reliability and the ML models, we calculated the area under the receiver operating characteristic curve (AUC), specificity, sensitivity, accuracy, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR). Results : We identified 71 patients who had favorable outcomes and 156 who had unfavorable outcomes. The results showed that the SVM model achieved the best comprehensive prediction efficiency. For the SVM model, the AUC, accuracy, specificity, sensitivity, PLR, NLR, and DOR were 0.91, 0.92, 0.92, 0.93, 11.63, 0.076, and 153.03, respectively. For the SVM model, we found the importance value of time to operating room (TOR) was higher significantly than other variables. Conclusion : The analysis of clinical reliability showed that the SVM model achieved the best comprehensive prediction efficiency and the importance value of TOR was higher significantly than other variables.

• Korean Journal of Radiology
• /
• 제21권6호
• /
• pp.670-683
• /
• 2020

Objective: The presence of coagulative necrosis (CN) in clear cell renal cell carcinoma (ccRCC) indicates a poor prognosis, while the absence of CN indicates a good prognosis. The purpose of this study was to build and validate a radiomics signature based on preoperative CT imaging data to estimate CN status in ccRCC. Materials and Methods: Altogether, 105 patients with pathologically confirmed ccRCC were retrospectively enrolled in this study and then divided into training (n = 72) and validation (n = 33) sets. Thereafter, 385 radiomics features were extracted from the three-dimensional volumes of interest of each tumor, and 10 traditional features were assessed by two experienced radiologists using triple-phase CT-enhanced images. A multivariate logistic regression algorithm was used to build the radiomics score and traditional predictors in the training set, and their performance was assessed and then tested in the validation set. The radiomics signature to distinguish CN status was then developed by incorporating the radiomics score and the selected traditional predictors. The receiver operating characteristic (ROC) curve was plotted to evaluate the predictive performance. Results: The area under the ROC curve (AUC) of the radiomics score, which consisted of 7 radiomics features, was 0.855 in the training set and 0.885 in the validation set. The AUC of the traditional predictor, which consisted of 2 traditional features, was 0.843 in the training set and 0.858 in the validation set. The radiomics signature showed the best performance with an AUC of 0.942 in the training set, which was then confirmed with an AUC of 0.969 in the validation set. Conclusion: The CT-based radiomics signature that incorporated radiomics and traditional features has the potential to be used as a non-invasive tool for preoperative prediction of CN in ccRCC.

• 농촌의학ㆍ지역보건
• /
• 제11권1호
• /
• pp.3-11
• /
• 1986

In order to observe the infestation rate and intensity of C. sinensis in Yeoju Eup, Kyung-gi Do, 9,512 stool specimens were collected from the inhabitants through student's helps. The specimens were examined by cellophane thick smear technique and Stoll's egg dilution technique. The epidemiological status was analysed statistically by the regession equation and catalytic curve with the results obtained from this area. The results are as follows: 1) Collection rate oft he stool samples was 66.5%, 9.512 out of 14,300 inhabintants complied with our survey. 2) The infestation rate of C.sinensis was 5.0%, and for male 7.8%, for female 2.3%. 3) Average E.P.G. by Stoll's egg dilution technique in this area was 1,572, and for male 1,853, for female 676. 4) The degree of the intensity of C. sinensis infection by E.P.G. count was distributed as 65.2% in light infection, 32.0 % in moderate infection, 2.8% in heavy infection and none in very heavy infection. 5) The intensity of endemicity in this area was represented with the regression equation calculated with cumulative percentages of E.P.G. counts. Regression equation was y=3.887+1.695 log x and Cs. $D_{50}$ was 4.54. 6) The two-stage catalytic model was applied and the calculation lead to the equation $y=0.267(e^{-0.004t}-e^{-0.019t})$; a=0.004 < b=0.019. 7) Other helminthic infection rate in this area was 1.4% in A.lumbricoides 2.7% in T. trichiura, 1.6% in M. yokogawai md 0.2% in Taenia sp. respectively.

• 대한환경공학회지
• /
• 제29권1호
• /
• pp.89-97
• /
• 2007

서울시 25개 자치구를 대상으로 주택 유형 및 세대구성원 등 여러 요인별로 1인당1일 수돗물 사용량(lpcd)을 비교 분석하였다. 조사대상인 표본으로부터 서울시 전체 모집단의 수돗물 사용량을 추정하여 제시하였다. 이를 위하여 서울시 주택유형 비율 통계자료를 이용하였으며, 실제 비율을 표본 결과에 적용하여 서울시 전체의 1인1일 수돗물 사용량을 추정하였다. 세대구성원수가 증가할수록 1인 1일 수돗물사용량은 감소하고 있다. 이는 세대구성원수와 상관없이 한 세대가 1인인 경우에도 취사, 세탁 등에 공통으로 사용하는 물의 양이 있기 때문인 것으로 판단된다. 아파트의 경우 세대구성원수 증가에 따른 평균적인 수돗물사용량 감소량은 1인세대에서 2인세대로 변할 때 233 L(47.6%)이며, 2인세대에서 3인세대로 변할 때 62 L(20.8%)이며, 3인세대에서 4인세대로 변할 때 32 L (16.9%)이며 4인세대에서 5인세대로 변할 때 18 L(9.0%)로 나타났다. 선형회귀식을 구하여 검토한 결과, 세대구성원이 1인증가함에 따라 감소율이 12%씩 감소하는 것을 보여주고 있다.

• 임산에너지
• /
• 제20권2호
• /
• pp.69-80
• /
• 2001

중부지방 낙엽송 조림지에 대하여 식재후 적정한 1차 간벌 시기를 추정하기 위하여 충북대학교 부속 연습림(월악산)을 대상으로 연구한 결과를 요약하면 다음과 같다. (1) 충북대학교 부속 연습림내에 조림된 낙엽송의 수고곡선식은 H=4.25783+0.80024D(H=수고, D=흉고직경)이었다. (2) 본 연구대상지의 재적식을 구하기 위해 최소제곱법으로 회귀분석을 한 결과, 수고와 흉고 직경을 모두 독립변수로 하는 경우 재적식은 V=0.001474-0.002095D-0.000211H+0.000150D·H+0.000744D²+0.000008H²(V=재적(㎥), H=수고(m), D=흉고직경(cm)) 이었다. 한편, 재적에 대하여 흉고직경만을 독립변수로 한 경우는 V=0.000079-0.000512D+0.000826D²이었다. (3) 간벌시기 추정을 위한 기준으로는 수고 MAI의 극대점을 이루는 연령과 고사목에서 총 흉고직경 생장량의 평균치 이하로 떨어지는 시점의 연령이 적절한 것으로 판단된다. (4) 수고 MAI의 극대점에 도달하는 연령은 임분밀도와 유의성 있는 상관을 보이지 않아 정확한 간벌시기의 판단기준으로 삼을 수 없었다 (5) 간벌시기를 결정하는 추정식은 고사목의 흉고직경생장량의 경년변화를 토대로 계산하였으며, 그 결과식은 Y=0.2825+0.01752X 이었다. (6) 관행적인 1.8m×l.8m의 식재밀도가 적용된 낙엽송 조림지에서 간벌 개시 임령은 12∼14년이 적당한 것으로 나타났다.