Detecting hepatocellular carcinoma: value of unenhanced or arterial phase CT imaging or both used in conjunction with conventional portal venous phase contrast-enhanced CT imaging.

1996 ◽  
Vol 167 (1) ◽  
pp. 71-77 ◽  
Author(s):  
J H Oliver ◽  
R L Baron ◽  
M P Federle ◽  
H E Rockette
2013 ◽  
Vol 26 (6) ◽  
pp. 1082-1090 ◽  
Author(s):  
Matthias Hammon ◽  
Alexander Cavallaro ◽  
Marius Erdt ◽  
Peter Dankerl ◽  
Matthias Kirschner ◽  
...  

Radiology ◽  
2003 ◽  
Vol 228 (2) ◽  
pp. 330-334 ◽  
Author(s):  
Michael Suh ◽  
Fergus V. Coakley ◽  
Aliya Qayyum ◽  
Benjamin M. Yeh ◽  
Richard S. Breiman ◽  
...  

2014 ◽  
Vol 39 (3) ◽  
pp. 526-532 ◽  
Author(s):  
R. Joshua Dym ◽  
Dameon R. Duncan ◽  
Michael Spektor ◽  
Hillel W. Cohen ◽  
Meir H. Scheinfeld

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yong Zhu ◽  
Yingfan Mao ◽  
Jun Chen ◽  
Yudong Qiu ◽  
Yue Guan ◽  
...  

AbstractTo explore the value of contrast-enhanced CT texture analysis in predicting isocitrate dehydrogenase (IDH) mutation status of intrahepatic cholangiocarcinomas (ICCs). Institutional review board approved this study. Contrast-enhanced CT images of 138 ICC patients (21 with IDH mutation and 117 without IDH mutation) were retrospectively reviewed. Texture analysis was performed for each lesion and compared between ICCs with and without IDH mutation. All textural features in each phase and combinations of textural features (p < 0.05) by Mann–Whitney U tests were separately used to train multiple support vector machine (SVM) classifiers. The classification generalizability and performance were evaluated using a tenfold cross-validation scheme. Among plain, arterial phase (AP), portal venous phase (VP), equilibrium phase (EP) and Sig classifiers, VP classifier showed the highest accuracy of 0.863 (sensitivity, 0.727; specificity, 0.885), with a mean area under the receiver operating characteristic curve of 0.813 in predicting IDH mutation in validation cohort. Texture features of CT images in portal venous phase could predict IDH mutation status of ICCs with SVM classifier preoperatively.


2020 ◽  
Vol 6 (1) ◽  
pp. 20180125
Author(s):  
Chee-Wai Cheng ◽  
Mitchell Machtay ◽  
Jennifer Dorth ◽  
Olga Sergeeva ◽  
Hangsheng Xia ◽  
...  

Hepatocellular carcinoma (HCC) has become one of the leading causes of cancer death worldwide. There has been anecdotal report regarding the effectiveness of proton beam treatment for HCC. In this pre-clinical investigation, the woodchuck model of viral hepatitis infection-induced HCC was used for proton beam treatment experiment. The radiopaque fiducial markers that are biodegradable were injected around the tumor under ultrasound guidance to facilitate positioning in sequential treatments. An α cradle mode was used to ensure reproducibility of animal positioning on the treatment couch. A CT scan was performed first for contouring by a radiation oncologist. The CT data set with contours was then exported for dose planning. Three fractionations, each 750 CcGyE, were applied every other day with a Mevion S250 passive scattering proton therapy system. Multiphase contrast-enhanced CT scans were performed after the treatment and at later times for follow-ups. 3 weeks post-treatment, shrinking of the HCC nodule was detected and constituted to a partial response (30% reduction along the long axis). By week nine after treatment, the nodule disappeared during the arterial phase of multiphase contrast-enhanced CT scan. Pathological evaluation corroborated with this imaging response. A delayed, but complete imaging response to proton beam treatment applied to HCC was achieved with this unique and clinically relevant animal model of HCC.


2014 ◽  
Vol 39 (6) ◽  
pp. 1247-1254 ◽  
Author(s):  
Tiffany Hennedige ◽  
Zhineng Jayson Yang ◽  
Cheng Kang Ong ◽  
Sudhakar Kundapur Venkatesh

Author(s):  
Yuji Nishimoto ◽  
Masanao Toma ◽  
Kohei Iwasa ◽  
Yukihito Sato

Abstract Background Spontaneous iliac vein ruptures have only been reported in approximately 50 cases. An accurate preoperative diagnosis is difficult even with contrast-enhanced computed tomography (CT), and the operative mortality and morbidity rates are quite high. The cause of spontaneous iliac vein ruptures and their optimal diagnosis and management remain unclear. Case Summary A 69-year-old woman without a history of prior trauma presented with low back pain, left lower limb swelling, and hypovolemic shock. An initial contrast-enhanced CT revealed a large retroperitoneal hematoma without arterial extravasation. Her blood pressure dropped again under a noradrenaline administration. A second venous phase contrast-enhanced CT revealed venous extravasation in the external iliac vein with a suspected compression of the common iliac vein (May-Thurner syndrome) and deep vein thrombosis (DVT). Her haemodynamics were stabilised whilst a laparotomy was arranged. An inferior vena cava (IVC) filter was placed due to concerns about rebleeding with initiating anticoagulation therapy. Given the failed conservative management, elective endovascular treatment (EVT) was performed including percutaneous Fogarty venous thrombectomy and placement of self-expanding and covered stents. After the intervention, the lower limb swelling significantly improved under oral anticoagulation therapy, and the IVC filter was retrieved. At the 3-month follow-up, the lower limb swelling completely disappeared, and the contrast-enhanced CT demonstrated the complete disappearance of the retroperitoneal hematoma and DVT. Discussion This case provided not only the potential value of the venous phase contrast-enhanced CT in diagnosing a spontaneous iliac vein rupture, but also the potential benefit of conservative management followed by elective EVT.


2019 ◽  
Author(s):  
Zhiqiang Yang ◽  
Xinyi Wang ◽  
Hao Shi

Abstract Objective The goal of this study is to evaluate the performance of spectral CT-based quantitative analysis in differential diagnosis of hypervascular hepatic metastasis (HVHM) and hepatocellular carcinoma (HCC). Methods Spectral CT scans were performed for 47 patients with hepatic malignant tumors, including 20 patients with HVHM and 27 patients with HCC, which generated the following sets of data: single energy images in the arterial phase; iodine and water maps; marginal areas of lesions that manifested apparent signal intensification; and energy spectral parameters of normal liver tissues and abdominal aorta. Subsequently, we calculated the normalized iodine concentrations (NIC), lesion-normal parenchyma iodine concentration ratio (LNR), iodine concentration difference (ICD) between the arterial phase and the venous phase, and the spectral curve slope. An independent samples t test and receiver operating characteristic (ROC) curve analysis were applied to examine these quantitative parameters. Results In the arterial phase, the HVHM and HCC groups displayed no differences in NIC, LNR, or spectral curve slope (P > 0.05). In the venous phase, the two groups displayed significant differences in NIC, LNR, and spectral curve slope; the NIC was 0.59 ± 0.08 for the HVHM group and 0.4 5 ± 0.10 for the HCC group; the LNR was 1.17 ± 0.22 and 0.92 ± 0.16, respectively; the spectral curve slope was 1.85 ± 0.49 and 1.18 ± 0.34, respectively. In addition, there was no significant difference in ICD between the HVHM group (0.54 ± 0.39 g/L) and HCC group (0.45 ± 0.39 g/L) (P > 0.05). Finally, there were no significant differences of water or iodine concentration between the arterial phase and venous phase (P > 0.05). Taken together, the spectral curve slope in the portal venous phase had the best performance in differentiating HVHM from HCC. Conclusions HVHM and HCC have apparent differences in spectral curve and concentrations of radiocontrast agents in the portal venous phase. Hence, spectral CT imaging provides a new multiparameter quantitative approach for differentiating HVHM and HCC.


2007 ◽  
Vol 14 (9) ◽  
pp. 1084-1091 ◽  
Author(s):  
Young Il Kim ◽  
Jin Wook Chung ◽  
Jae Hyung Park ◽  
Gyeong Hoon Kang ◽  
Minjin Lee ◽  
...  

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