Literature DB >> 24466369

Accurate prediction of nodal status in preoperative patients with pancreatic ductal adenocarcinoma using next-gen nanoparticle.

Shaunagh McDermott1, Sarah P Thayer2, Carlos Fernandez-Del Castillo2, Mari Mino-Kenudson3, Ralph Weissleder1, Mukesh G Harisinghani1.   

Abstract

OBJECTIVE: The objective of this study is to assess lymphotropic nanoparticle-enhanced magnetic resonance imaging (LNMRI) in identifying malignant nodal involvement in patients with pancreatic ductal adenocarcinoma.
METHODS: Magnetic resonance imaging was performed in 13 patients with known or high index of suspicion of pancreatic cancer and who were scheduled for surgical resection. Protocols included T2*-weighted imaging before and after administration of Ferumoxytol (Feraheme) for the evaluation of lymph node involvement. Eleven of the 13 patients underwent a Whipple procedure and lymph node dissection. Nodes that lacked contrast uptake were deemed malignant, and those that demonstrated homogeneous uptake were deemed benign.
RESULTS: A total of 264 lymph nodes were resection, of which 17 were malignant. The sensitivity and specificity of LNMRI was 76.5% and 98.4% at a nodal level and 83.3% and 80% at a patient level.
CONCLUSION: LNMRI demonstrated high sensitivity and specificity in patients with pancreatic ductal adenocarcinoma.

Entities:  

Year:  2013        PMID: 24466369      PMCID: PMC3890701          DOI: 10.1593/tlo.13400

Source DB:  PubMed          Journal:  Transl Oncol        ISSN: 1936-5233            Impact factor:   4.243


  37 in total

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2.  Comparison of lymphotropic nanoparticle-enhanced MRI sequences in patients with various primary cancers.

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Review 3.  Tumor-stroma interactions in pancreatic ductal adenocarcinoma.

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4.  Increased organ sparing using shape-based treatment plan optimization for intensity modulated radiation therapy of pancreatic adenocarcinoma.

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Journal:  Pancreas       Date:  2013-01       Impact factor: 3.327

7.  Prognostic significance of lymph node metastases in pancreatic head cancer treated with extended lymphadenectomy: not just a matter of numbers.

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Authors:  Saila P Kauhanen; Gaber Komar; Marko P Seppänen; Kirsti I Dean; Heikki R Minn; Sami A Kajander; Irina Rinta-Kiikka; Kalle Alanen; Ronald J Borra; Pauli A Puolakkainen; Pirjo Nuutila; Jari T Ovaska
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9.  Early change in ferumoxytol-enhanced magnetic resonance imaging signal suggests unstable human cerebral aneurysm: a pilot study.

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Authors:  S McDermott; A Kilcoyne
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Review 2.  Imaging the lymphatic system.

Authors:  Lance L Munn; Timothy P Padera
Journal:  Microvasc Res       Date:  2014-06-21       Impact factor: 3.514

Review 3.  Positive para-aortic lymph nodes following pancreatectomy for pancreatic cancer. Systematic review and meta-analysis of impact on short term survival and association with clinicopathologic features.

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Journal:  Quant Imaging Med Surg       Date:  2017-02

Review 5.  Current innovations in sentinel lymph node mapping for the staging and treatment of resectable lung cancer.

Authors:  Krista J Hachey; Yolonda L Colson
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6.  Safety and feasibility of near-infrared image-guided lymphatic mapping of regional lymph nodes in esophageal cancer.

Authors:  Krista J Hachey; Denis M Gilmore; Katherine W Armstrong; Sean E Harris; Jason L Hornick; Yolonda L Colson; Jon O Wee
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7.  Para-aortic lymph node metastases in pancreatic cancer should not be considered a watershed for curative resection.

Authors:  Sebastian Hempel; Verena Plodeck; Franz Mierke; Marius Distler; Daniela E Aust; Hans-Detlev Saeger; Jürgen Weitz; Thilo Welsch
Journal:  Sci Rep       Date:  2017-08-09       Impact factor: 4.379

8.  Relationship Between Radiomics and Risk of Lymph Node Metastasis in Pancreatic Ductal Adenocarcinoma.

Authors:  Yun Bian; Shiwei Guo; Hui Jiang; Suizhi Gao; Chenwei Shao; Kai Cao; Xu Fang; Jing Li; Li Wang; Wenda Hua; Jianming Zheng; Gang Jin; Jianping Lu
Journal:  Pancreas       Date:  2019-10       Impact factor: 3.327

Review 9.  Repurposing ferumoxytol: Diagnostic and therapeutic applications of an FDA-approved nanoparticle.

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Review 10.  Prediction of Anti-cancer Nanotherapy Efficacy by Imaging.

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  10 in total

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