Correlation of apparent diffusion coefficient measured by diffusion-weighted MRI and clinicopathologic features in pancreatic cancer patients View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2013-02

AUTHORS

Koichi Hayano, Fumihiko Miura, Hodaka Amano, Naoyuki Toyota, Keita Wada, Kenichiro Kato, Keiji Sano, Koji Takeshita, Tomoyoshi Aoyagi, Kiyohiko Shuto, Hisahiro Matsubara, Takehide Asano, Tadahiro Takada

ABSTRACT

BACKGROUND/PURPOSE: The aim of this study was to evaluate the clinical usefulness of diffusion-weighted magnetic resonance imaging (DWI) in patients with pancreatic cancer by comparing the apparent diffusion coefficient (ADC) value with clinicopathologic features. METHODS: Twenty-two consecutive patients (12 men, 10 women; mean age 64.4 years) with pancreatic cancer underwent DWI before surgery. We retrospectively investigated the correlations between tumor ADC value and clinicopathologic features. RESULTS: Apparent diffusion coefficient value was significantly lower for pancreatic cancer than for noncancerous tissue (P < 0.001). Receiver operating characteristic analysis yielded an optimal ADC cutoff value of 1.21 × 10(-3) mm(2)/s to distinguish pancreatic cancer from noncancerous tissue. There was a significant negative correlation between ADC value and tumor size (r = -0.59, P = 0.004) and between ADC value and number of metastatic lymph nodes (r = -0.56, P = 0.007). Tumors with low ADC value had a significant tendency to show high portal venous system invasion (P = 0.02) and extrapancreatic nerve plexus invasion (P = 0.01). CONCLUSIONS: Apparent diffusion coefficient value appears to be a promising parameter for detecting pancreatic cancer and evaluating the degree of malignancy of pancreatic cancer. More... »

PAGES

243-248

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00534-011-0491-5

DOI

http://dx.doi.org/10.1007/s00534-011-0491-5

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1039825706

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/22311389


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s00534-011-0491-5'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00534-011-0491-5'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00534-011-0491-5'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00534-011-0491-5'


 

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314 https://www.grid.ac/institutes/grid.264706.1 schema:alternateName Teikyo University
315 schema:name Department of Radiology, Teikyo University School of Medicine, Tokyo, Japan
316 Department of Surgery, Teikyo University School of Medicine, Tokyo, Japan
317 rdf:type schema:Organization
 




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