• Radiation Oncology Journal
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• v.9 no.2
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• pp.311-317
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• 1991

Ten patients with deep muscle-invading bladder carcinoma (clinical stages T3a to T4b) who were not candidates for cystectomy were treated with combined modality treatment with transurethral resection, cisplatin chemotherapy and pelvic irradiation from 1989 through 1990, and were analyzed retrospectively. All patients were not candidates for cystectomy because the tumors were judged unresectable or they were not fit for a radical cystectomy. Of the patients 5 had clinical stage T3a, 3 stage T3b and 2 stage T4b disease. The minimum follow-up was 16 months. The complete response rate is 60$\%$ for all patients. The complete responses were achieved in 4 of 5(80$\%$) with stage cT3a, in 2 of 3(67$\%$)with stage cT3b and in none of 2(0$\%$) with stage cT4b. The partial responses were achieved in 2, so an overall response rate was 80$\%$. All six patients with grade I or II transitional cell carcinoma showed complete responses. Four patients with higher grade tumors showed partial responses in 2 and no response in 2, and all died of their bladder cancer. Six patients who showed complete responses after treatment are alive and only one of them showed a local recurrence 10 months after treatment. Distant metastases developed in 3 patients: lungs in 2(cT4b) of those who were never locally free of disease and spine in 1 patient (cT3b) among those with a partial response. Two patients died of metastases to lungs. During the follow-up diarrhea occurred in one which was improved after conservative treatment. On the basis of this analysis it is suggested that combined modality treatment seems to be a tolerable regimen and can be offered with a relatively high probability of success and conservation of bladder function in those with less advanced tumors by clinical stage and low grade.

• Korean Journal of Remote Sensing
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• v.37 no.6_1
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• pp.1559-1572
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• 2021

The response of vegetation under the crop stress condition was evaluated using structural, biochemical, and physiological vegetation indices based on unmanned aerial vehicle (UAV) images and field-spectrometer data. A high concentration of herbicide was sprayed at the different growth stages of garlic to process crop stress, the above ground dry matter of garlic at experimental area (EA) decreased about 46.2~84.5% compared to that at control area. The structural vegetation indices clearly responded to these crop damages. Spectral reflectance at near-infrared wavelength consistently decreased at EA. Most biochemical vegetation indices reflected the crop stress conditions, but the meaning of physiological vegetation indices is not clear due to the effect of vinyl mulching. The difference of the decreasing ratio of vegetation indices after the herbicide spray was 2.3% averagely in the case of structural vegetation indices and 1.3~4.1% in the case of normalization-based vegetation indices. These results meant that appropriate vegetation indices should be utilized depending on the types of crop stress and the cultivation environment and the normalization-based vegetation indices measured from the different spatial scale has the minimized difference.

• Korean Journal of Remote Sensing
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• v.37 no.2
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• pp.275-290
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• 2021

Sulfur dioxide (SO2) in the atmosphere is mainly generated from anthropogenic emission sources. It forms ultra-fine particulate matter through chemical reaction and has harmful effect on both the environment and human health. In particular, ground-level SO2 concentrations are closely related to human activities. Satellite observations such as TROPOMI (TROPOspheric Monitoring Instrument)-derived column density data can provide spatially continuous monitoring of ground-level SO2 concentrations. This study aims to propose a 2-step residual corrected model to estimate ground-level SO2 concentrations through the synergistic use of satellite data and numerical model output. Random forest machine learning was adopted in the 2-step residual corrected model. The proposed model was evaluated through three cross-validations (i.e., random, spatial and temporal). The results showed that the model produced slopes of 1.14-1.25, R values of 0.55-0.65, and relative root-mean-square-error of 58-63%, which were improved by 10% for slopes and 3% for R and rRMSE when compared to the model without residual correction. The model performance by country was slightly reduced in Japan, often resulting in overestimation, where the sample size was small, and the concentration level was relatively low. The spatial and temporal distributions of SO2 produced by the model agreed with those of the in-situ measurements, especially over Yangtze River Delta in China and Seoul Metropolitan Area in South Korea, which are highly dependent on the characteristics of anthropogenic emission sources. The model proposed in this study can be used for long-term monitoring of ground-level SO2 concentrations on both the spatial and temporal domains.

• Korean Journal of Remote Sensing
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• v.36 no.6_3
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• pp.1653-1667
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• 2020

In this study, we coupled a computation fluid dynamics (CFD) model to the local data assimilation and prediction system (LDAPS), a current operational numerical weather prediction model of the Korea Meteorological Administration. We investigated the characteristics of fine particulate matter (PM2.5) distributions in a building-congested district. To analyze the effects of road emission on the PM2.5 concentrations, we calculated road emissions based on the monthly, daily, and hourly emission factors and the total amount of PM2.5 emissions established from the Clean Air Policy Support System (CAPSS) of the Ministry of Environment. We validated the simulated PM2.5 concentrations against those measured at the PKNU-AQ Sensor stations. In the cases of no road emission, the LDAPS-CFD model underestimated the PM2.5 concentrations measured at the PKNU-AQ Sensor stations. The LDAPS-CFD model improved the PM2.5 concentration predictions by considering road emission. At 07 and 19 LST on 22 June 2020, the southerly wind was dominant at the target area. The PM2.5 distribution at 07 LST were similar to that at 19 LST. The simulated PM2.5 concentrations were significantly affected by the road emissions at the roadside but not significantly at the building roof. In the road-emission case, the PM2.5 concentration was high at the north (wind speeds were weak) and west roads (a long street canyon). The PM2.5 concentration was low in the east road where the building density was relatively low.

• Korean Journal of Remote Sensing
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• v.38 no.6_2
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• pp.1607-1622
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• 2022

The purpose of this study is to determine the actual performance of cool roof in preventing absorbed solar radiation. The spatial correlation between surface temperature and absorbed solar radiation is the method by which the performance of a cool roof can be understood and evaluated. The research area of this study is the vicinity of Jangyu Mugye-dong, Gimhae-si, Gyeongsangnam-do, where an actual cool roof is applied. FLIR Vue Pro R thermal infrared sensor, Micasense Red-Edge multi-spectral sensor and DJI H20T visible spectral sensor was used for aerial photography, with attached to the drone DJI Matrice 300 RTK. To perform the spatial correlation analysis, thermal infrared orthomosaics, absorbed solar radiation distribution maps were constructed, and land cover features of roof were extracted based on the drone aerial photographs. The temporal scope of this research ranged over 9 points of time at intervals of about 1 hour and 30 minutes from 7:15 to 19:15 on July 27, 2021. The correlation coefficient values of 0.550 for the normal roof and 0.387 for the cool roof were obtained on a daily average basis. However, at 11:30 and 13:00, when the Solar altitude was high on the date of analysis, the difference in correlation coefficient values between the normal roof and the cool roof was 0.022, 0.024, showing similar correlations. In other time series, the values of the correlation coefficient of the normal roof are about 0.1 higher than that of the cool roof. This study assessed and evaluated the potential of an actual cool roof to prevent solar radiation heating a rooftop through correlation comparison with a normal roof, which serves as a control group, by using high-resolution drone images. The results of this research can be used as reference data when local governments or communities seek to adopt strategies to eliminate the phenomenon of urban heat islands.

• Korean Journal of Remote Sensing
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• v.38 no.5_2
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• pp.707-723
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• 2022

Although satellite-based sea surface temperature (SST) is advantageous for monitoring large areas, spatiotemporal data gaps frequently occur due to various environmental or mechanical causes. Thus, it is crucial to fill in the gaps to maximize its usability. In this study, daily SST composite fields with a resolution of 4 km were produced through a two-step machine learning approach using polar-orbiting and geostationary satellite SST data. The first step was SST reconstruction based on Data Interpolate Convolutional AutoEncoder (DINCAE) using multi-satellite-derived SST data. The second step improved the reconstructed SST targeting in situ measurements based on light gradient boosting machine (LGBM) to finally produce daily SST composite fields. The DINCAE model was validated using random masks for 50 days, whereas the LGBM model was evaluated using leave-one-year-out cross-validation (LOYOCV). The SST reconstruction accuracy was high, resulting in R² of 0.98, and a root-mean-square-error (RMSE) of 0.97℃. The accuracy increase by the second step was also high when compared to in situ measurements, resulting in an RMSE decrease of 0.21-0.29℃ and an MAE decrease of 0.17-0.24℃. The SST composite fields generated using all in situ data in this study were comparable with the existing data assimilated SST composite fields. In addition, the LGBM model in the second step greatly reduced the overfitting, which was reported as a limitation in the previous study that used random forest. The spatial distribution of the corrected SST was similar to those of existing high resolution SST composite fields, revealing that spatial details of oceanic phenomena such as fronts, eddies and SST gradients were well simulated. This research demonstrated the potential to produce high resolution seamless SST composite fields using multi-satellite data and artificial intelligence.

• Journal of Chest Surgery
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• v.43 no.1
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• pp.39-46
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• 2010

Background: Preoperative chemotherapy has been adopted in our hospital as a standard treatment for non-small cell lung cancer patients with N2 disease. However, there have been cases of pathologic N2 disease that have been detected after curative-intent surgical resection. We retrospectively studied the outcomes of initial surgical treatment without neoadjuvant therapy in patients with unexpected N2 non-small cell lung cancer. Material and Method: Between January 1995 and June 2007, 225 patients were diagnosed with pathologic N2 disease after they underwent initial pulmonary resection without neoadjuvant therapy. Among them, 170 patients were preoperatively diagnosed with lymph node stage N0 or N1. We retrospectively reviewed their medical record and analyzed the outcomes. Result: The overall 5-year survival rate was 35.4%. The prognostic factors that were significantly associated with survival were no adjuvant therapy, histologic cell types other than adenocarcinoma or squamous cell carcinoma, a pathologic T stage more than T1, old age (${\geq}$70 years) and no mediastinoscopic biopsy. During the follow-up, 79 patients (46.5%) experienced tumor recurrence, including loco-regional recurrence in 20 patients (25.3%) and distant metastasis in 56 (70.9%). The 5-year recurrence-free survival rate was 33.7%. Conclusion: Based on our findings, the survival was good for patients with unexpected N2 non-small cell lung cancer and who underwent initial pulmonary resection without neoadjuvant therapy. A prospective comparative analysis is needed to obtain more conclusive and persuasive results.

• Journal of Chest Surgery
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• v.38 no.6 s.251
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• pp.421-427
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• 2005

Complete surgical resection is the most effective treatment for pT1/2N1 non-small cell lung cancer, however 5 year survival rate of these patients is about $40\%$ and the major cause of death is recurrent disease. We intended to clarify the risk factors of recurrence in completely resected pT1/2N1 non-small cell lung cancer. Material and Method: From Jan. f990 to Jul. 2003, total of 117 patients were operated for pT1/2N1 non-small cell lung cancer. The risk of recurrence according to patients characteristics, histopathologic findings, type of resection, pattern of lymph node metastasis, postoperative adjuvant treatment were evaluated retrospectively. Result: Mean age of patients was 59.3 years. There were 14 patients with T1N1 and 103 patients with T2N1 disease. Median follow-up time was 27.5 months and overall 5 year suwival rate was $41.3\%$. 5 year freedom-from recurrence rate was $54.1\%$. Recurrence was observed in $44 (37.6\%)$ patients and distant recurrence developed in 40 patients. 5 year survival rate of patients with recurence was $3.3\%$, which was significantly lower than patients without recurrence $(61.3\%,\;p=0.000).$ In multi-variate analysis of risk factors for freedom-from recurrence rate, multi-station N1 $(hazard\;ratio=1.997,\;p=0.047)$ was a poor prognostic factor. Conclusion: Multi-station N1 is the risk factor for recurrence in completely resected pT1/2N1 non-small cell lung cancer.

• Radiation Oncology Journal
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• v.29 no.1
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• pp.20-27
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• 2011

Purpose: This study was designed to evaluate the results of local control, survival rate, prognostic factors, and failure pattern in locally advanced esophageal cancer. Materials and Methods: We retrospectively studied 50 patients with locally advanced esophageal cancer treated with concurrent chemoradiotherapy at Keimyung University Dongsan Medical Center from June of 1999 to August of 2008. Seven patients with inappropriate data were excluded, and 43 patients were analyzed. There were 39 males and four female patients ranging in age from 43 to 78 years (median, 63 years). There were seven patients with stage IIA and 36 with stage III. Irradiation from 46 Gy to 63 Gy (median, 54 Gy) was carried out 5 days per week, 1.8 Gy once a day. There were eight patients with neo-adjuvant chemotherapy, and we mostly used 5-fluorouracil, cisplatin with 3 cycles for concurrent chemotherapy. The range of follow up periods was from 2 to 82 months (median, 15.5). Results: There were nine patients that exhibited a cornplete response, 23 that exhibited a partial response, 9 that exhibited no response, and 2 that exhibited disease progression. The median survival time was 15 months. Two-year and 5-year survival rates were 36.5% and 17.3%, respectively. Two-year and 5-year disease-free survival rates were 32.4% and 16%, respectively. Treatment failure occurred in 22 patients (51.2%). Patterns of failure were categorized as local failure in 18 patients and distant metastasis in four patients. In a univariate analysis for prognostic factors related to overall survival and disease-free survival, the hemoglobin levels during chemoradiotherapy (${\geq}$ 12 vs. <12, p=0.02(p=0.1) and the response to the treatments (CR/PR vs. NR/PD, p=0.002/p< 0.0001) were statistically significant. In a multivariate analysis, only response to the treatments was revealed to be statistically significant. There was no statistical significance associated with patient age, gender, disease stage, T-stage, smoking history, tumor location, or neo-adjuvant chemotherapy. Conclusion: Our survival rate was similar to those of other institutions. Local recurrence was the main reason for failure. It is suggested that further prospective studies should be performed to improve local control.

• Radiation Oncology Journal
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• v.20 no.2
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• pp.116-122
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• 2002

Purpose : A randomized prospective study was conducted to compare the efficacy of early or late alternating schedules of radiotherapy, and carboplatin and ifosfamide chemotherapy in patients with limited-disease small cell lung cancer. Materials and Methods: From August 1993 to August 1996, a total of 44 patients with newly diagnosed, limited-disease small cell lung cancer, PS $H0\~2$, wt $loss<10\%$ were enrolled in a randomized trial which compared early alternating radiotherapy (RT)/chemotherapy (CT) and late alternating RT/CT. The CT regimen included ifosfamide $1.5\;g/m^2$ IV, d1-5 and carboplatin AUC 5/d IV, d2 peformed at 4 week intervals for a total of 6 cycles. RT (54 Gy/30 fr) was started after the first cycle of CT (early arm, N=22) or after the third cycle of CT (late arm, N=22) with a split course of treatment. Results : The pretreatment characteristics between the two arms were well balanced. The response rates in the early $(86\%)$ and late $(85\%)$ arm were similar. The median survival durations and 2-year survival rates were 15 months and $22.7\%$ in the early arm, and 17 months and $14.9\%$ in the late arm (p=0.47 by the log-rank test). The two-year progression free survival rates were $19.1\%$ in the early arm and $19.6\%$ in the late arm (p=0.52 by the log-rank test). Acute grade 3 or 4 hematologic and nonhematologic toxicities were similar between the two arms. Eighteen patients $(82\%)$ completed 6 cycles of CT in the early arm and 17 $(77\%)$ in the late arm. Four patients received less than 45 Gy of RT in the early arm and two in the late arm. There was no significant difference in the failure patterns. The local failure rate was $43\%$ in the early arm and $45\%$ in the late arm. The first site of failure was the brain in $24\%$ of the early arm patients compared to $35\%$ in the late arm (p=0.51). Conclusion : There were no statistical differences in the overall survival rate and the pattern of failure between the early and late alternating RT/CT in patients with limited-disease small cell lung cancer.