Influence of vasomodulators and tumor transplantation on the disposition of 5-fluorouracil after application to the liver surface in rats

2017 ◽  
Vol 38 (6) ◽  
pp. 367-372 ◽  
Author(s):  
Yukinobu Kodama ◽  
Miyuki Horishita ◽  
Ayako Tokunaga ◽  
Hirotaka Miyamoto ◽  
Shintaro Fumoto ◽  
...  
Keyword(s):  
Tumor Transplantation ◽  
Liver Surface

Liver surface nodularity: a novel predictor of post-hepatectomy liver failure in patients with colorectal liver metastases following chemotherapy

2021 ◽  
Author(s):  
Tomoaki Yoh ◽  
Antoine Perrot ◽  
Aurélie Beaufrère ◽  
Christian Hobeika ◽  
Riccardo Sartoris ◽  
...  
Keyword(s):  
Liver Failure ◽  
Liver Metastases ◽  
Colorectal Liver Metastases ◽  
Liver Surface

scholarly journals Liver fibrosis staging by deep learning: a visual-based explanation of diagnostic decisions of the model

2021 ◽  
Author(s):  
Yunchao Yin ◽  
Derya Yakar ◽  
Rudi A. J. O. Dierckx ◽  
Kim B. Mouridsen ◽  
Thomas C. Kwee ◽  
...  
Keyword(s):  
Deep Learning ◽  
Liver Fibrosis ◽  
Liver Parenchyma ◽  
Ct Images ◽  
Fibrosis Stage ◽  
Contrast Enhanced Ct ◽  
Contrast Enhanced ◽  
Enhanced Ct ◽  
Liver Surface ◽  
Fibrosis Staging

Abstract Objectives Deep learning has been proven to be able to stage liver fibrosis based on contrast-enhanced CT images. However, until now, the algorithm is used as a black box and lacks transparency. This study aimed to provide a visual-based explanation of the diagnostic decisions made by deep learning. Methods The liver fibrosis staging network (LFS network) was developed at contrast-enhanced CT images in the portal venous phase in 252 patients with histologically proven liver fibrosis stage. To give a visual explanation of the diagnostic decisions made by the LFS network, Gradient-weighted Class Activation Mapping (Grad-cam) was used to produce location maps indicating where the LFS network focuses on when predicting liver fibrosis stage. Results The LFS network had areas under the receiver operating characteristic curve of 0.92, 0.89, and 0.88 for staging significant fibrosis (F2–F4), advanced fibrosis (F3–F4), and cirrhosis (F4), respectively, on the test set. The location maps indicated that the LFS network had more focus on the liver surface in patients without liver fibrosis (F0), while it focused more on the parenchyma of the liver and spleen in case of cirrhosis (F4). Conclusions Deep learning methods are able to exploit CT-based information from the liver surface, liver parenchyma, and extrahepatic information to predict liver fibrosis stage. Therefore, we suggest using the entire upper abdomen on CT images when developing deep learning–based liver fibrosis staging algorithms. Key Points • Deep learning algorithms can stage liver fibrosis using contrast-enhanced CT images, but the algorithm is still used as a black box and lacks transparency. • Location maps produced by Gradient-weighted Class Activation Mapping can indicate the focus of the liver fibrosis staging network. • Deep learning methods use CT-based information from the liver surface, liver parenchyma, and extrahepatic information to predict liver fibrosis stage.

Mitochondrial uncoupler MB1-47 is efficacious in treating hepatic metastasis of pancreatic cancer in murine tumor transplantation models

Oncogene ◽  
2021 ◽  
Author(s):  
Amer Alasadi ◽  
Bin Cao ◽  
Jingjing Guo ◽  
Hanlin Tao ◽  
Juan Collantes ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
Hepatic Metastasis ◽  
Murine Tumor ◽  
Tumor Transplantation ◽  
Mitochondrial Uncoupler

scholarly journals Percutaneous microwave coagulation therapy for hepatocellular carcinoma on the liver surface

1999 ◽  
Vol 17 ◽  
pp. 85-88
Author(s):  
Kiyohide Kioka ◽  
Osamu Kurai ◽  
Takashi Nakai ◽  
Yasuko Kawasaki ◽  
Hiroko Oka ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Microwave Coagulation Therapy ◽  
Microwave Coagulation ◽  
Coagulation Therapy ◽  
Liver Surface ◽  
Percutaneous Microwave Coagulation Therapy ◽  
Percutaneous Microwave Coagulation

Surgical Anatomy of the Posterior Liver Surface: The Retrohepatic Lamina as the Basis for Mobilisation of the Right Liver

2013 ◽  
Vol 17 (10) ◽  
pp. 1766-1773 ◽  
Author(s):  
Veronica Macchi ◽  
Andrea Porzionato ◽  
Romeo Bardini ◽  
Edgardo Enrico Edoardo Picardi ◽  
Raffaele De Caro
Keyword(s):  
Surgical Anatomy ◽  
Liver Surface ◽  
The Right

Does anatomic resection improve the postoperative outcomes of solitary hepatocellular carcinomas located on the liver surface?

Surgery ◽  
2018 ◽  
Vol 163 (2) ◽  
pp. 285-290 ◽  
Author(s):  
Daisuke Hokuto ◽  
Takeo Nomi ◽  
Satoshi Yasuda ◽  
Takahiro Yoshikawa ◽  
Kohei Ishioka ◽  
...  
Keyword(s):  
Postoperative Outcomes ◽  
Anatomic Resection ◽  
Hepatocellular Carcinomas ◽  
Liver Surface

Histological Reconstruction of a Von Meyenburg's Complex on the Liver Surface

Endoscopy ◽  
1984 ◽  
Vol 16 (02) ◽  
pp. 71-74 ◽  
Author(s):  
W. Ohta ◽  
H. Ushio
Keyword(s):  
Liver Surface

scholarly journals Liver Surface Nodularity as a Biomarker for Detection and Evaluation of Cirrhosis

Radiology ◽  
2017 ◽  
Vol 283 (3) ◽  
pp. 921-922 ◽  
Author(s):  
Satoshi Goshima ◽  
Kyongtae T. Bae
Keyword(s):  
Liver Surface

Changes in plasma hormone profiles after tumor transplantation into syngeneic and allogeneic rats

1985 ◽  
Vol 36 (2) ◽  
pp. 209-216 ◽  
Author(s):  
Hugo O. Besedovsky ◽  
Adriana Del Rey ◽  
Martin Schardt ◽  
Ernst Sorkln ◽  
Sigurd Normann ◽  
...  
Keyword(s):  
Tumor Transplantation ◽  
Plasma Hormone
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