Dual-energy CT Can Evaluate Both Hilar and Mediastinal Lymph Nodes and Lesion Vascularity with a Single Scan at 60 Seconds after Contrast Medium Injection

2012 ◽  
Vol 19 (8) ◽  
pp. 1003-1010 ◽  
Author(s):  
Masaki Ogawa ◽  
Masaki Hara ◽  
Ayano Imafuji ◽  
Yoshiyuki Ozawa ◽  
Toshinao Arakawa ◽  
...  
2014 ◽  
Vol 22 (5) ◽  
pp. 689-696 ◽  
Author(s):  
Jie Liu ◽  
Pei-Jie Lv ◽  
Runze Wu ◽  
Yong-Gao Zhang ◽  
Li-Li Hu ◽  
...  

2013 ◽  
Vol 14 (3) ◽  
pp. 532 ◽  
Author(s):  
Seon Young Yoo ◽  
Yookyung Kim ◽  
Hyun Hae Cho ◽  
Mi Joo Choi ◽  
Sung Shine Shim ◽  
...  

2017 ◽  
Vol 90 ◽  
pp. 81-88 ◽  
Author(s):  
I. Al-Najami ◽  
M.J. Lahaye ◽  
R.G.H Beets-Tan ◽  
G. Baatrup

2020 ◽  
Author(s):  
Lin Qiu ◽  
Junjiao Hu ◽  
Zeping Weng ◽  
Fasheng Li ◽  
Fei Wang ◽  
...  

Abstract Background To explore the ability of Dual-energy CT (DECT) to differentiate metastatic from non-metastatic lymph nodes in colorectal cancer (CRC). Methods Seventy-one patients with primary CRC underwent contrast-enhanced DECT imaging before surgery. The colorectal specimen was scanned after surgery, and lymph nodes were matched to the pathology report. The DECT quantitative parameters were analyzed: dual-energy curve slope value(λHU), standardized iodine concentration (n△HU), iodine water ratio (nIWR), electron density value (nρeff), and effective atom-number (nZ), for the metastatic and non-metastatic lymph node differentiation. Also, sensitivity and specificity analyses were performed by using receiver operating characteristic curve. Results One hundred and fifty lymph nodes including 66 non-metastatic and 84 metastatic lymph nodes were matched using the radiological-pathological correlation. Metastatic node had a significantly greater λHU, n△HU and nIWR values than non-metastatic node in both arterial and venous phases (P < 0.01). The AUC, sensitivity and specificity were 0.80, 80.30% and 65.48% for λHU; 0.86, 69.70% and 95.24% for n△HU; 0.88, 71.21% and 95.24% for nIWR in the arterial phase. No significant difference was found in electron density and effective Z value for differentiation. Conclusion Dual-energy CT quantitative parameters may be helpful in diagnosing metastatic lymph nodes of CRC.


2020 ◽  
Vol 61 (11) ◽  
pp. 1505-1511 ◽  
Author(s):  
Andreas P Sauter ◽  
Sophie Ostmeier ◽  
Jonathan Nadjiri ◽  
Dominik Deniffel ◽  
Ernst J Rummeny ◽  
...  

Background Lymph nodes (LN) are examined in every computed tomography (CT) scan. Until now, an evaluation is only possible based on morphological criteria. With dual-energy CT (DECT) systems, iodine concentration (IC) can be measured which could conduct in an improved diagnostic evaluation of LNs. Purpose To define standard values for IC of cervical, axillary, and inguinal LNs in DECT. Material and Methods Imaging data of 297 patients who received a DECT scan of the neck, thorax, abdomen–pelvis, or a combination of those in a portal-venous phase were retrospectively collected from the institutional PACS. No present history of malignancy, inflammation, or trauma in the examined region was present. For each examined region, the data of 99 patients were used. The IC of the three largest LNs, the main artery, the main vein, and a local muscle of the examined area was measured, respectively. Results Normalization of the IC of LNs to the artery, vein, muscle, or a combination of those did not lead to a decreased value-range. The smallest range and confidence interval (CI) of IC was found when using absolute values of IC for each region. Hereby, mean values (95% CI) for IC of LN were found: 2.09 mg/mL (2.00–2.18 mg/mL) for neck, 1.24 mg/mL (1.16–1.33 mg/mL) for axilla, and 1.11 mg/mL (1.04–1.17 mg/mL) for groin. Conclusion The present study suggests standard values for IC of LNs in dual-layer CT could be used to differentiate between healthy and pathological lymph nodes, considering the used contrast injection protocol.


PLoS ONE ◽  
2019 ◽  
Vol 14 (7) ◽  
pp. e0219577
Author(s):  
Yuan-Mao Lin ◽  
Yi-You Chiou ◽  
Mei-Han Wu ◽  
Shan Su Huang ◽  
Shu-Huei Shen

PLoS ONE ◽  
2015 ◽  
Vol 10 (9) ◽  
pp. e0139275 ◽  
Author(s):  
Abdulrahman Almutairi ◽  
Zhonghua Sun ◽  
Abduljaleel Poovathumkadavi ◽  
Tarek Assar

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