Detection of insulinoma: one-stop pancreatic perfusion CT with calculated mean temporal images can replace the combination of bi-phasic plus perfusion scan

2020 ◽  
Vol 30 (8) ◽  
pp. 4164-4174
Author(s):  
Juan Li ◽  
Xin-yue Chen ◽  
Kai Xu ◽  
Liang Zhu ◽  
Ming He ◽  
...  
Pancreatology ◽  
2020 ◽  
Vol 20 (7) ◽  
pp. 1406-1412
Author(s):  
Yoshihiro Konno ◽  
Toshitada Hiraka ◽  
Masafumi Kanoto ◽  
Toshimitsu Sato ◽  
Michihiko Tsunoda ◽  
...  

2012 ◽  
Vol 2012 ◽  
pp. 1-5 ◽  
Author(s):  
Yoshihisa Tsuji ◽  
Naoki Takahashi ◽  
Chiba Tsutomu

Early intensive care for severe acute pancreatitis is essential for improving SAP mortality rates. However, intensive therapies for SAP are often delayed because there is no ideal way to accurately evaluate severity in the early stages. Currently, perfusion CT has been shown useful to predict prognosis of SAP in the early stage. In this presented paper, we would like to review the clinical usefulness and limitations of perfusion CT for evaluation of local and systemic complications in early stage of SAP.


2019 ◽  
Vol 44 (6) ◽  
pp. 2196-2204 ◽  
Author(s):  
Ping Li ◽  
Wanling Deng ◽  
Huadan Xue ◽  
Kai Xu ◽  
Liang Zhu ◽  
...  

2016 ◽  
Vol 150 (4) ◽  
pp. S709
Author(s):  
Akira Yamamiya ◽  
Katsuya Kitamura ◽  
Yu Ishii ◽  
Tomohiro Nomoto ◽  
Tadashi Honma ◽  
...  

2021 ◽  
Vol 11 ◽  
Author(s):  
Liangna Deng ◽  
Guojin Zhang ◽  
Xiaoqiang Lin ◽  
Tao Han ◽  
Bin Zhang ◽  
...  

ObjectiveTo investigate the spectral and perfusion computed tomography (CT) findings of peripheral lung cancer (PLC) and focal organizing pneumonia (FOP) and to compare the accuracy of spectral and perfusion CT imaging in distinguishing PLC from FOP.Materials and MethodsPatients who were suspected of having lung tumor and underwent “one-stop” chest spectral and perfusion CT, with their diagnosis confirmed pathologically, were prospectively enrolled from September 2020 to March 2021. Patients who were suspected of having lung tumor and underwent “one-stop” chest spectral and perfusion CT, with their diagnosis confirmed pathologically, were prospectively enrolled from September 2020 to March 2021. A total of 57 and 35 patients with PLC and FOP were included, respectively. Spectral parameters (CT40keV, CT70keV, CT100keV, iodine concentration [IC], water concentration [WC], and effective atomic number [Zeff]) of the lesions in the arterial and venous phases were measured in both groups. The slope of the spectral curve (K70keV) was calculated. The perfusion parameters, including blood volume (BV), blood flow (BF), mean transit time (MTT), and permeability surface (PS), were measured simultaneously in both groups. The differences in the spectral and perfusion parameters between the groups were examined. Receiver operating characteristic (ROC) curves were generated to calculate and compare the area under the curve (AUC), sensitivity, specificity, and accuracy of both sets of parameters in both groups.ResultsThe patients’ demographic and clinical characteristics were similar in both groups (P > 0.05). In the arterial and venous phases, the values of spectral parameters (CT40keV, CT70keV, spectral curve K70keV, IC, and Zeff) were greater in the FOP group than in the PLC group (P < 0.05). In contrast, the values of the perfusion parameters (BV, BF, MTT, and PS) were smaller in the FOP group than in the PLC group (P < 0.05). The AUC of the combination of the spectral parameters was larger than that of the perfusion parameters. For the former imaging method, the AUC, sensitivity, and specificity were 0.89 (95% confidence interval [CI]: 0.82–0.96), 0.86, and 0.83, respectively. For the latter imaging method, the AUC, sensitivity, and specificity were 0.80 (95% CI: 0.70–0.90), 0.71, and 0.83, respectively. There was no significant difference in AUC between the two imaging methods (P > 0.05).ConclusionSpectral and perfusion CT both has the capability to differentiate PLC and FOP. However, compared to perfusion CT imaging, spectral CT imaging has higher diagnostic efficiency in distinguishing them.


2015 ◽  
Vol 84 (12) ◽  
pp. 2411-2420 ◽  
Author(s):  
Gert Jan Pelgrim ◽  
Monique Dorrius ◽  
Xueqian Xie ◽  
Martijn A.M. den Dekker ◽  
U. Joseph Schoepf ◽  
...  

2020 ◽  
Vol 27 (10) ◽  
pp. 739-746
Author(s):  
Akira Yamamiya ◽  
Katsuya Kitamura ◽  
Hitoshi Yoshida ◽  
Yu Ishii ◽  
Yuta Mitsui ◽  
...  

Suizo ◽  
2014 ◽  
Vol 29 (2) ◽  
pp. 178-182
Author(s):  
Yoshihisa TSUJI ◽  
Yuzo KODAMA ◽  
Tsukasa YOSHIDA ◽  
Tsutomu CHIBA

Pancreatology ◽  
2016 ◽  
Vol 16 (4) ◽  
pp. S48
Author(s):  
Akira Yamamiya ◽  
Katsuya Kitamura ◽  
Yu Ishii ◽  
Tomohiro Nomoto ◽  
Tadashi Honma ◽  
...  

Stroke ◽  
2001 ◽  
Vol 32 (suppl_1) ◽  
pp. 342-342
Author(s):  
Heidi C Roberts ◽  
William P Dillon ◽  
Jack W Tsao ◽  
Nancy J Fischbein ◽  
Wade S Smith

P17 Computed tomography (CT) has experienced a revival for perfusion assessment in acute stroke. However, so far it is limited by its small anatomical coverage. We studied a toggling table approach to (multislice) dynamic perfusion CT for extended coverage in patients with suspected acute MCA ischemia. In 20 patients with suspected acute MCA ischemia, a dynamic CT perfusion scan was performed on a multidetector scanner. To increase anatomical coverage, 2 distinct “toggling” table positions (each consisting of two 1cm slices) were chosen to represent the MCA territory and scanned in an alternating fashion during the bolus injection of 40mL contrast agent. Dynamic images were evaluated on a ROI and pixel-by-pixel basis, estimating peak density change, time to peak (TTP), integral (rCBV), mean transit time (MTT), and flow (rCBF). Acutely acquired CT perfusion data were compared with follow-up CT or MR (perfusion and diffusion) images. With the toggling table approach, temporal resolution is reduced to approximately 5 secs. Four imaging slices at two distinct locations can be obtained, covering the MCA territory. In 15 patients, perfusion CT revealed focal abnormalities in at least one slice, most commonly on MTT maps. In 14 of these 15 patients, the area of perfusion abnormality was a good predictor of the ultimate infarct. A single table location approach would have underestimated or missed the involved tissue in most cases. In 5 of the 20 patients, perfusion maps failed to delineate any abnormality: in 4 cases, MRI confirmed the absence of ischemia, in 1 case, CT failed to reveal a small ischemic injury visible on diffusion MRI. Addition of the dynamic CT perfusion scan adds less than 5 minutes to a CT stroke protocol and can be coupled with CTA studies to image the cervical and cerebral vasculature in acute stroke. The dynamic CT perfusion technique is a practical and useful tool for the emergency assessment of acute stroke patients. By employing the toggling table approach, perfusion information can be obtained over an extended anatomic area and thus reveal the presence and the extent of presumed tissue ischemia.


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