| 1 | Evaluation of Clinical and MRI Staging for Prostate Cancer before Radical Prostatectomy显示文摘To evaluate the clinical significance of clinical staging and magnetic resonance imaging (MRI) staging for prostate cancer before radical prostatectomy. Methods: Thirty-two patients with organ confined prostate cancer were reviewed to assess the accuracy of clinical staging and MRI staging to correlate with pathological staging results after radical prostatectomy. Results: 33.3% (10/30) prostate cancer patients with staging C and 3.3% (1/30) prostate cancer patients with staging D were diagnosed by pathology after radical prostatectomy in 30 patients with prostate cancer with clinical staging B, and 36.7% (11/30) under staging; Only one patient was over staging in clinical staging C. 19.1% (4/21) prostate cancer patients with staging C were diagnosed in 21 patients with prostate cancer and under staging with MRI staging B; 11.1% (1/9) was over staging with MRI staging C. The clinical staging and MRI staging had more correlation with pathological staging results (P=0.002), and PPV of the organ confined prostate cancer by clinical staging and MRI staging were 63.3% and 80.9% respectively, and NPV of nonorgan confined prostate cancer by clinical staging and MRI staging were 50% and 88.9% respectively. MRI staging was more specificity and accuracy than that of clinical staging to predict pathological staging results before radical prostatectomy (P=0.023). Conclusion: The MRI staging was more accuracy than that of clinical staging to predict pathological staging results in organ confined and nonorgan confined prostate cancer before radical prostatectomy. | ZHONGChenyang ZOUEnze CHENMin WANGWenchao ZHAOWeifeng WANBen DENGShuming YANGJianye | 2004 | The Chinese-German Journal of Clinical Oncology2004，3，3： | 2 |
| 2 | Cloud-based typhoon-derived paddy rice flooding and lodging detection using multi-temporal Sentinel-1&2显示文摘Rice production in China’s coastal areas is frequently affected by typhoons,since the associated severe storms,with heavy rain and the strong winds,lead directly to the rice plants becoming flooded or lodged.Long-term flooding and lodging can cause a substantial reduction in rice yield or even destroy the harvest completely.It is therefore urgent to obtain accurate information about paddy rice flooding and lodging as soon as possible after the passing of the storm.This paper proposes a workflow in Google Earth Engine(GEE)for mapping the flooding and lodging area of paddy rice in Wenzhou City,Zhejiang,following super typhoon Maria(Typhoon No.8 in 2018).First,paddy rice in the study area was detected by multi-temporal Sentinel-1 backscatter data combined with Sentinel-2-derived Normalized Difference Vegetation Index(NDVI)using the Random Forests(RFs)algorithm.High classification accuracies were achieved,whereby rice detection accuracy was calculated at 95%(VH+NDVI-based)and 87%(VV+NDVI-bastd).Secondly,Change Detection(CD)based Rice Normalized Difference Flooded Index(RNDFI)and Rice Normalized Difference Lodged Index(RNDLI)were proposed to detect flooding and lodged paddy rice.Both RNDFI and RNDLI were tested based on four different remote sensing data sets,including the Sentinel-1-derived VV and VH backscattering coefficient,Sentinel-2-derived NDVI and Enhanced Vegetation Index(EVI).Overall agreement regarding detected area between the each two different data sets was obtained,with values of 79%to 93%in flood detection and 64%to 88%in lodging detection.The resulting flooded and lodged paddy rice maps have potential to reinforce disaster emergency assessment systems and provide an important resource for disaster reduction and emergency departments. | Wanben WU Wei WANG Michael E.Meadows Xinfeng YAO Wei PENG | 2019 | Frontiers of Earth Science2019，13，4： | 2 |
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