Journal of computer assisted tomography
Jan 1, 2016
OBJECTIVE: The purpose of this work was to evaluate the image quality, lesion conspicuity, and dose reduction provided by knowledge-based iterative model reconstruction (IMR) in computed tomography (CT) of the liver compared with hybrid iterative rec...
BACKGROUND: Discovery and incorporation of biomarker panels to cancer studies enabled the understanding of genetic variation and its interference in carcinogenesis at molecular level. The potential association between single nucleotide polymorphism (...
The objective of this study was to analyze the predictive significance of different prognostic factors associated with recurrence and metastasis after the radical resection in patients with hepatolithiasis complicated by intrahepatic cholangiocarcino...
Gan to kagaku ryoho. Cancer & chemotherapy
Nov 1, 2015
A 62 year-old woman was hospitalized with the diagnosis of pneumonia, and a huge mass was recognized in the right lobe of the liver during a CT scan. AFP and PIVKA-Ⅱ were elevated to 101.05 ng/mL and 2,177 mAU/mL. The liver function test indicated Ch...
Gan to kagaku ryoho. Cancer & chemotherapy
Nov 1, 2015
The patient, a 55-year-old man, was diagnosed elsewhere as having cancer of the tail of the pancreas and was referred to our hospital. Abdominal computed tomography (CT) revealed a remarkably large tumor, 90 mm in diameter, in the tail of the pancrea...
Gan to kagaku ryoho. Cancer & chemotherapy
Nov 1, 2015
A 62-year-old man was diagnosed with gastric cancer and underwent distal gastrectomy, and D1+b lymph node dissection. He was diagnosed postoperatively with T1b (sm2) N0M0, StageⅠA gastric adenocarcinoma and did not receive any adjuvant chemotherapy a...
Gan to kagaku ryoho. Cancer & chemotherapy
Nov 1, 2015
A 60-year-old man underwent total gastrectomy with Japanese D2 lymph node dissection for advanced gastric cancer. The resected specimen was diagnosed as well-differentiated tubular carcinoma, pT3, pN1, cM0, and the final stage was considered as ⅡB. D...
PURPOSE: Detect and classify focal liver lesions (FLLs) from contrast-enhanced ultrasound (CEUS) imaging by means of an automated quantification algorithm.