Deep Learning Algorithm for Fully Automated Detection of Small (≤4 cm) Renal Cell Carcinoma in Contrast-Enhanced Computed Tomography Using a Multicenter Database

A deep learning algorithm using contrast-enhanced computed tomography (CT) images for segmentation and rapid automatic detection of aortic dissection

Biomedical Signal Processing and Control ◽

10.1016/j.bspc.2020.102145 ◽

2020 ◽

Vol 62 ◽

pp. 102145

Author(s):

Junlong Cheng ◽

Shengwei Tian ◽

Long Yu ◽

Xiang Ma ◽

Yan Xing

Keyword(s):

Computed Tomography ◽

Deep Learning ◽

Aortic Dissection ◽

Learning Algorithm ◽

Automatic Detection ◽

Ct Images ◽

Deep Learning Algorithm ◽

Contrast Enhanced ◽

Contrast-enhanced computed tomography findings of canine primary renal tumors including renal cell carcinoma, lymphoma, and hemangiosarcoma

PLoS ONE ◽

10.1371/journal.pone.0225211 ◽

2019 ◽

Vol 14 (11) ◽

pp. e0225211

Author(s):

Toshiyuki Tanaka ◽

Hideo Akiyoshi ◽

Hidetaka Nishida ◽

Keiichiro Mie ◽

Lee-Shuan Lin ◽

...

Keyword(s):

Computed Tomography ◽

Renal Cell Carcinoma ◽

Cell Carcinoma ◽

Renal Cell ◽

Renal Tumors ◽

Contrast Enhanced ◽

Tumor grade of clear cell renal cell carcinoma assessed by contrast-enhanced computed tomography

SpringerPlus ◽

10.1186/2193-1801-3-694 ◽

2014 ◽

Vol 3 (1) ◽

Cited By ~ 12

Author(s):

Kousei Ishigami ◽

Leandro V. Leite ◽

Marius G. Pakalniskis ◽

Daniel K. Lee ◽

Danniele G. Holanda ◽

...

Keyword(s):

Computed Tomography ◽

Renal Cell Carcinoma ◽

Cell Carcinoma ◽

Renal Cell ◽

Clear Cell ◽

Tumor Grade ◽

Cell Renal Cell Carcinoma ◽

Contrast Enhanced ◽

Evaluation of Clinical Outcomes of Antiangiogenic-Targeted Therapy in Patients with Pulmonary Metastatic Renal Cell Carcinoma Using Non–Contrast-Enhanced Computed Tomography

Academic Radiology ◽

10.1016/j.acra.2014.06.007 ◽

2014 ◽

Vol 21 (11) ◽

pp. 1434-1440

Author(s):

Guang-yu Wu ◽

Shi-teng Suo ◽

Wen Kong ◽

Di Jin ◽

Jin Zhang ◽

...

Keyword(s):

Computed Tomography ◽

Renal Cell Carcinoma ◽

Targeted Therapy ◽

Cell Carcinoma ◽

Clinical Outcomes ◽

Metastatic Renal Cell Carcinoma ◽

Renal Cell ◽

Contrast Enhanced ◽

Pretreatment assessment of tumor enhancement on contrast-enhanced computed tomography as a potential predictor of treatment outcome in metastatic renal cell carcinoma patients receiving antiangiogenic therapy

Cancer ◽

10.1002/cncr.25019 ◽

2010 ◽

pp. NA-NA ◽

Cited By ~ 2

Author(s):

Kyung Seok Han ◽

Dae Chul Jung ◽

Hyuck Jae Choi ◽

Min Soo Jeong ◽

Kang Su Cho ◽

...

Keyword(s):

Computed Tomography ◽

Renal Cell Carcinoma ◽

Treatment Outcome ◽

Renal Cell ◽

Antiangiogenic Therapy ◽

Potential Predictor ◽

Contrast Enhanced ◽

Pretreatment Assessment ◽

Dynamic Contrast-Enhanced Computed Tomography–Derived Blood Volume and Blood Flow Correlate With Patient Outcome in Metastatic Renal Cell Carcinoma

Investigative Radiology ◽

10.1097/rli.0000000000000315 ◽

2017 ◽

Vol 52 (2) ◽

pp. 103-110 ◽

Cited By ~ 8

Author(s):

Jill Rachel Mains ◽

Frede Donskov ◽

Erik Morre Pedersen ◽

Hans Henrik Torp Madsen ◽

Finn Rasmussen

Keyword(s):

Computed Tomography ◽

Patient Outcome ◽

Renal Cell Carcinoma ◽

Blood Flow ◽

Cell Carcinoma ◽

Renal Cell ◽

Dynamic Contrast Enhanced ◽

Contrast Enhanced ◽

Baseline blood volume identified by dynamic contrast-enhanced computed tomography as a new independent prognostic factor in metastatic renal cell carcinoma

Translational Oncology ◽

10.1016/j.tranon.2020.100829 ◽

2020 ◽

Vol 13 (10) ◽

pp. 100829

Author(s):

Aska Drljevic-Nielsen ◽

Finn Rasmussen ◽

Jill R. Mains ◽

Kennet Thorup ◽

Frede Donskov

Keyword(s):

Computed Tomography ◽

Renal Cell Carcinoma ◽

Prognostic Factor ◽

Cell Carcinoma ◽

Blood Volume ◽

Renal Cell ◽

Dynamic Contrast Enhanced ◽

Contrast Enhanced ◽

Characterization of renal cell carcinoma, oncocytoma, and lipid-poor angiomyolipoma by unenhanced, nephrographic, and delayed phase contrast-enhanced computed tomography

Clinical Imaging ◽

10.1016/j.clinimag.2014.09.008 ◽

2015 ◽

Vol 39 (1) ◽

pp. 76-84 ◽

Cited By ~ 16

Author(s):

Kousei Ishigami ◽

Marius G. Pakalniskis ◽

Leandro V. Leite ◽

Daniel K. Lee ◽

Danniele G. Holanda ◽

...

Keyword(s):

Computed Tomography ◽

Renal Cell Carcinoma ◽

Cell Carcinoma ◽

Renal Cell ◽

Phase Contrast ◽

Contrast Enhanced ◽

Delayed Phase ◽

Pathological implications of areas of lower enhancement on contrast-enhanced computed tomography in renal-cell carcinoma: additional information for selecting candidates for surveillance protocols

International Urology and Nephrology ◽

10.1007/s11255-012-0199-8 ◽

2012 ◽

Vol 44 (5) ◽

pp. 1369-1374 ◽

Cited By ~ 8

Author(s):

Miguel Villalobos-Gollás ◽

Bernardo Aguilar-Davidov ◽

Carolina Culebro-García ◽

Martha O. Gómez-Alvarado ◽

Priscila Rojas-Garcia ◽

...

Keyword(s):

Computed Tomography ◽

Renal Cell Carcinoma ◽

Cell Carcinoma ◽

Renal Cell ◽

Additional Information ◽

Contrast Enhanced ◽

Circularity Index on Contrast-Enhanced Computed Tomography Helps Distinguish Fat-Poor Angiomyolipoma from Renal Cell Carcinoma: Retrospective Analyses of Histologically Proven 257 Small Renal Tumors Less Than 4 cm

Korean Journal of Radiology ◽

10.3348/kjr.2020.0865 ◽

2021 ◽

Vol 22 (5) ◽

pp. 735

Author(s):

Hye Seon Kang ◽

Jung Jae Park

Keyword(s):

Computed Tomography ◽

Renal Cell Carcinoma ◽

Cell Carcinoma ◽

Renal Cell ◽

Renal Tumors ◽

Contrast Enhanced ◽

Circularity Index ◽