scholarly journals Cellular magnetic resonance imaging: in vivo tracking of gastric cancer cells and detecting of lymph node metastases using microparticles of iron oxide in mice

2019 ◽  
Vol Volume 11 ◽  
pp. 7317-7326 ◽  
Author(s):  
Jian Chen ◽  
Gang Ren ◽  
Rong Cai ◽  
Xiangru Wu ◽  
Ting Gui ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Gastric Cancer ◽  
Lymph Node ◽  
Iron Oxide ◽  
Magnetic Resonance ◽  
Lymph Node Metastases ◽  
Resonance Imaging ◽  
Gastric Cancer Cells ◽  
Node Metastases

scholarly journals Preoperative diagnosis of lymph node metastases in gastric cancer by magnetic resonance imaging with ferumoxtran-10

2006 ◽  
Vol 9 (2) ◽  
pp. 120-128 ◽  
Author(s):  
Yoshiaki Tatsumi ◽  
Nobuhiko Tanigawa ◽  
Haruto Nishimura ◽  
Eiji Nomura ◽  
Hideaki Mabuchi ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Gastric Cancer ◽  
Lymph Node ◽  
Magnetic Resonance ◽  
Lymph Node Metastases ◽  
Preoperative Diagnosis ◽  
Resonance Imaging ◽  
Node Metastases

Diagnostic Performance of Nanoparticle-Enhanced Magnetic Resonance Imaging in the Diagnosis of Lymph Node Metastases in Patients With Endometrial and Cervical Cancer

2005 ◽  
Vol 23 (12) ◽  
pp. 2813-2821 ◽  
Author(s):  
Andrea G. Rockall ◽  
Syed A. Sohaib ◽  
Mukesh G. Harisinghani ◽  
Syed A. Babar ◽  
Naveena Singh ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Lymph Node ◽  
Magnetic Resonance ◽  
Lymph Node Metastases ◽  
Predictive Value ◽  
Diagnostic Performance ◽  
Resonance Imaging ◽  
Lymph Node Sampling ◽  
Node Metastases ◽  
Sensitivity Specificity

Purpose Lymph node metastases affect management and prognosis of patients with gynecologic malignancies. Preoperative nodal assessment with computed tomography or magnetic resonance imaging (MRI) is inaccurate. A new lymph node–specific contrast agent, ferumoxtran-10, composed of ultrasmall particles of iron oxide (USPIO), may enhance the detection of lymph node metastases independent of node size. Our aim was to compare the diagnostic performance of MRI with USPIO against standard size criteria. Methods Forty-four patients with endometrial (n = 15) or cervical (n = 29) cancer were included. MRI was performed before and after administration of USPIO. Two independent observers viewed the MR images before lymph node sampling. Lymph node metastases were predicted using size criteria and USPIO criteria. Lymph node sampling was performed in all patients. Results Lymph node sampling provided 768 pelvic or para-aortic nodes for pathology, of which 335 were correlated on MRI; 17 malignant nodes were found in 11 of 44 patients (25%). On a node-by-node basis, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) by size criteria were 29%*, 99%, 56%, and 96%, and by USPIO criteria (reader 1/reader 2) were 93%/82%* (*P = .008/.004), 97%/97%, 61%/59%, and 100%/99%, respectively (where [*] indicates the statistical difference of P = x/x between the two results marked by the asterisk). On a patient-by-patient basis, sensitivity, specificity, PPV, and NPV by size criteria were 27%*, 94%, 60%, and 79%, and by USPIO criteria (reader 1/reader 2) were 100%/91%* (*P = .031/.06), 94%/87%, 82%/71%, and 100%/96%, respectively. The κ statistic was 0.93. Conclusion Lymph node characterization with USPIO increases the sensitivity of MRI in the prediction of lymph node metastases, with no loss of specificity. This may greatly improve preoperative treatment planning.

scholarly journals Detection of Lymph Node Metastases by Gadolinium-Enhanced Magnetic Resonance Imaging: Systematic Review and Meta-analysis

2010 ◽  
Vol 102 (4) ◽  
pp. 244-253 ◽  
Author(s):  
Wenche M. Klerkx ◽  
Leon Bax ◽  
Wouter B. Veldhuis ◽  
A. Peter M. Heintz ◽  
Willem PThM. Mali ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Systematic Review ◽  
Lymph Node ◽  
Magnetic Resonance ◽  
Lymph Node Metastases ◽  
Meta Analysis ◽  
Resonance Imaging ◽  
Node Metastases
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