scholarly journals Pyogenic Granuloma Mimicking T1 Colorectal Carcinoma

Cureus ◽  
2021 ◽  
Author(s):  
Naoki Asayama ◽  
Yukari Takeuchi ◽  
Kenjiro Shigita ◽  
Mayumi Kaneko ◽  
Shinji Nagata
Keyword(s):  
Colorectal Carcinoma ◽  
Pyogenic Granuloma ◽  
T1 Colorectal Carcinoma

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 ◽  
...  
Keyword(s):  
Colorectal Carcinoma ◽  
Lung Carcinoma ◽  
T1 Colorectal Carcinoma ◽  
Carcinoma Metastasis

Novel radiomics signature predicts lymph node metastasis in T1 colorectal carcinoma.

2019 ◽  
Vol 37 (4_suppl) ◽  
pp. 506-506
Author(s):  
Yanlei Ma ◽  
Sheng Zhang ◽  
Xinxiang Li ◽  
Tianye Niu
Keyword(s):  
Lymph Node ◽  
Colorectal Carcinoma ◽  
Receiver Operating Characteristic ◽  
Operating Characteristic ◽  
Characteristic Curve ◽  
Predictive Performance ◽  
Cancer Center ◽  
T1 Colorectal Carcinoma ◽  
Auc Value ◽  
Receiver Operating

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.

101 Endoscopic Resection of High-Risk T1 Colorectal Carcinoma Prior to Surgical Resection Has No Adverse Effect on Long-Term Outcomes

2015 ◽  
Vol 81 (5) ◽  
pp. AB112-AB113
Author(s):  
Anouk Overwater ◽  
Martijn G. Van Oijen ◽  
Aneya Van Den Blink ◽  
Marcel Spanier ◽  
Tom Seerden ◽  
...  
Keyword(s):  
Adverse Effect ◽  
High Risk ◽  
Colorectal Carcinoma ◽  
Surgical Resection ◽  
Endoscopic Resection ◽  
Long Term Outcomes ◽  
T1 Colorectal Carcinoma

scholarly journals Management of T1 colorectal carcinoma with special reference to criteria for curative endoscopic resection

2012 ◽  
Vol 27 (6) ◽  
pp. 1057-1062 ◽  
Author(s):  
Koichi Nakadoi ◽  
Shinji Tanaka ◽  
Hiroyuki Kanao ◽  
Motomi Terasaki ◽  
Sayaka Takata ◽  
...  
Keyword(s):  
Colorectal Carcinoma ◽  
Special Reference ◽  
Endoscopic Resection ◽  
T1 Colorectal Carcinoma
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