Pedunculated-type T1 colorectal carcinoma with lung carcinoma metastasis at the deepest invasive portion

2016 ◽  
Vol 9 (4) ◽  
pp. 208-214
Author(s):  
Naoki Asayama ◽  
Shiro Oka ◽  
Shinji Tanaka ◽  
Daiki Hirano ◽  
Kyoku Sumimoto ◽  
...  
Author(s):  
Tomoyuki Nishimura ◽  
Shiro Oka ◽  
Yuki Kamigaichi ◽  
Hirosato Tamari ◽  
Yasutsugu Shimohara ◽  
...  

Author(s):  
Tatsuro Irimura ◽  
David M. Ota ◽  
Karen R. Cleary ◽  
Garth L. Nicolson

2019 ◽  
Vol 10 (10) ◽  
Author(s):  
Ting-Hong Ye ◽  
Fang-Fang Yang ◽  
Yong-Xia Zhu ◽  
Ya-Li Li ◽  
Qian Lei ◽  
...  

Since publication of this article, the authors have noticed that there were errors in Fig. 1b (the CT 26 cells colony formation images) and Fig. 7c (the vehicle group images). As a result of the misfiling of the data during preparation of figures, incorrect images were inadvertently inserted in these figures. An amendment to this paper has been published and can be accessed via a link at the top of the paper.


2019 ◽  
Vol 21 (Supplement_6) ◽  
pp. vi78-vi78
Author(s):  
Catherine Garcia ◽  
Holly Chitwood ◽  
Christopher Harwood ◽  
Brent Shelton ◽  
Rachael Morgan ◽  
...  

Abstract INTRODUCTION Bevacizumab is an antibody against vascular endothelial growth factor that has been well investigated for glioblastoma, however, has limited proven efficacy. The drug has, however, demonstrated survival benefit in non-small cell lung carcinoma, renal cell carcinoma and colorectal carcinoma. We provide an overview of its use in the United States for select cancers. METHODS We queried the IQVIA database for all cases of glioblastoma diagnosed between January 2014 and June 2018 to analyze the use of bevacizumab for glioblastoma, non-small cell lung carcinoma, and colorectal carcinoma in the United States, and was compared to the standard of care for each indication (temozolomide for glioblastoma, pemetrexed for non-small cell lung carcinoma, and oxaliplatin for colorectal carcinoma). RESULTS A total of 85,351 patients were treated for glioblastoma as captured by IQVIA. Bevacizumab was prescribed in 17,958 patients, with a projected median annual total of 3,718 patients. The use of bevacizumab for glioblastoma during the study period decreased from 2014 to 2018 (p< 0.0001). The use of temozolomide has remained stable since 2014 to 2018 (p=0.49). For non-small cell lung cancer, we saw a significant decrease in the use of both bevacizumab and pemetrexed (p< 0.0001), with bevacizumab being used in less than 2% of the cases since 2017. For colorectal carcinoma, the use of bevacizumab has overall decreased with a peak use in 2016 (p< 0.0001). The use of oxaliplatin has increased (p< 0.0001). CONCLUSIONS Our findings demonstrated a decreased use of bevacizumab in oncology for three indications, likely associated with a changing role due to the benefit of novel therapy such as immunotherapy. The use of bevacizumab has decreased in glioblastoma, that may be associated to the lack of overall survival benefits in randomized clinical trials.


2016 ◽  
Vol 83 (5) ◽  
pp. AB143
Author(s):  
Yuzuru Tamaru ◽  
Shinji Tanaka ◽  
Shiro Oka ◽  
Shinji Nagata ◽  
Yuko Hiraga ◽  
...  

2019 ◽  
Vol 37 (4_suppl) ◽  
pp. 506-506
Author(s):  
Yanlei Ma ◽  
Sheng Zhang ◽  
Xinxiang Li ◽  
Tianye Niu

506 Background: This study evaluates the predictive performance of radiomic features in metastasis of T1 colorectal carcinoma (CRC) to lymph nodes. Methods: A total of 10 200 CRC patients from our clinical cancer center included in this analysis. 225 eligible cases diagnosed with T1 CRC were included and divided into two groups: computed tomography (CT) image group (n = 82) and magnetic resonance image (MRI) group (n = 143) based on the preoperative image data available. A total of 548 radiomic features were extracted from each case and analyzed, and then a panel of radiomic features associated with lymph node metastases (LNM) were selected using Mann-Whitney U test. Combining these selected radiomic features and clinical data, the predictive performance for LNM was calculated using receiver operating characteristic (ROC) curves. Results: The prediction accuracy for LNM of T1 CRC could be improved to 0.88 by area under the receiver operating characteristic curve (AUC) through integration of one radiomic feature and three clinical indicators in CT group. In the group of contrast enhanced T1-weighted MRI (T1w-MRI), combination of two radiomic features and three clinical parameters present an AUC value of 0.85. In the group of T2-weighted MRI (T2w-MRI), combination of four radiomic features and five clinical characteristics identified T1 tumors with LNM with an AUC value of 0.87. Conclusions: The current study present a good predictive performance of combination of radiomic features with clinic characteristic in identifying T1 CRC with LNM, which may provide an important opportunity for us to make clinical treatment decision-making for T1 CRC patients.


2008 ◽  
Vol 15 (4) ◽  
pp. 1239-1248
Author(s):  
D. Th. Inderbitzin ◽  
G. R. Marti ◽  
S. Eichenberger ◽  
H.- M. Hoogewoud ◽  
L. Kraehenbuehl

2015 ◽  
Vol 81 (5) ◽  
pp. AB112-AB113
Author(s):  
Anouk Overwater ◽  
Martijn G. Van Oijen ◽  
Aneya Van Den Blink ◽  
Marcel Spanier ◽  
Tom Seerden ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document