Establishing magnetic resonance imaging as an accurate and reliable tool to diagnose and monitor esophageal cancer in a rat model

Juliann E. Kosovec, Ali H. Zaidi, Yoshihiro Komatsu, Pashtoon M. Kasi, Kyle Cothron, Diane V. Thompson, Edward Lynch, Blair A. Jobe

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

Objective: To assess the reliability of magnetic resonance imaging (MRI) for detection of esophageal cancer in the Levrat model of end-to-side esophagojejunostomy. Background: The Levrat model has proven utility in terms of its ability to replicate Barrett's carcinogenesis by inducing gastroduodenoesophageal reflux (GDER). Due to lack of data on the utility of non-invasive methods for detection of esophageal cancer, treatment efficacy studies have been limited, as adenocarcinoma histology has only been validated post-mortem. It would therefore be of great value if the validity and reliability of MRI could be established in this setting. Methods: Chronic GDER reflux was induced in 19 male Sprague-Dawley rats using the modified Levrat model. At 40 weeks post-surgery, all animals underwent endoscopy, MRI scanning, and post-mortem histological analysis of the esophagus and anastomosis. With post-mortem histology serving as the gold standard, assessment of presence of esophageal cancer was made by five esophageal specialists and five radiologists on endoscopy and MRI, respectively. Results: The accuracy of MRI and endoscopic analysis to correctly identify cancer vs. no cancer was 85.3% and 50.5%, respectively. ROC curves demonstrated that MRI rating had an AUC of 0.966 (p<0.001) and endoscopy rating had an AUC of 0.534 (p = 0.804). The sensitivity and specificity of MRI for identifying cancer vs. no-cancer was 89.1% and 80% respectively, as compared to 45.5% and 57.5% for endoscopy. False positive rates of MRI and endoscopy were 20% and 42.5%, respectively. Conclusions: MRI is a more reliable diagnostic method than endoscopy in the Levrat model. The non-invasiveness of the tool and its potential to volumetrically quantify the size and number of tumors likely makes it even more useful in evaluating novel agents and their efficacy in treatment studies of esophageal cancer.

Original languageEnglish (US)
Article numbere93694
JournalPLoS One
Volume9
Issue number4
DOIs
StatePublished - Apr 4 2014
Externally publishedYes

Fingerprint

esophageal neoplasms
Magnetic resonance
Esophageal Neoplasms
magnetic resonance imaging
Rats
Endoscopy
endoscopy
animal models
Magnetic Resonance Imaging
Imaging techniques
monitoring
neoplasms
Histology
Neoplasms
histology
Area Under Curve
Oncology
esophagus
adenocarcinoma
Reproducibility of Results

ASJC Scopus subject areas

  • Agricultural and Biological Sciences(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Medicine(all)

Cite this

Kosovec, J. E., Zaidi, A. H., Komatsu, Y., Kasi, P. M., Cothron, K., Thompson, D. V., ... Jobe, B. A. (2014). Establishing magnetic resonance imaging as an accurate and reliable tool to diagnose and monitor esophageal cancer in a rat model. PLoS One, 9(4), [e93694]. https://doi.org/10.1371/journal.pone.0093694

Establishing magnetic resonance imaging as an accurate and reliable tool to diagnose and monitor esophageal cancer in a rat model. / Kosovec, Juliann E.; Zaidi, Ali H.; Komatsu, Yoshihiro; Kasi, Pashtoon M.; Cothron, Kyle; Thompson, Diane V.; Lynch, Edward; Jobe, Blair A.

In: PLoS One, Vol. 9, No. 4, e93694, 04.04.2014.

Research output: Contribution to journalArticle

Kosovec, JE, Zaidi, AH, Komatsu, Y, Kasi, PM, Cothron, K, Thompson, DV, Lynch, E & Jobe, BA 2014, 'Establishing magnetic resonance imaging as an accurate and reliable tool to diagnose and monitor esophageal cancer in a rat model', PLoS One, vol. 9, no. 4, e93694. https://doi.org/10.1371/journal.pone.0093694
Kosovec, Juliann E. ; Zaidi, Ali H. ; Komatsu, Yoshihiro ; Kasi, Pashtoon M. ; Cothron, Kyle ; Thompson, Diane V. ; Lynch, Edward ; Jobe, Blair A. / Establishing magnetic resonance imaging as an accurate and reliable tool to diagnose and monitor esophageal cancer in a rat model. In: PLoS One. 2014 ; Vol. 9, No. 4.
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abstract = "Objective: To assess the reliability of magnetic resonance imaging (MRI) for detection of esophageal cancer in the Levrat model of end-to-side esophagojejunostomy. Background: The Levrat model has proven utility in terms of its ability to replicate Barrett's carcinogenesis by inducing gastroduodenoesophageal reflux (GDER). Due to lack of data on the utility of non-invasive methods for detection of esophageal cancer, treatment efficacy studies have been limited, as adenocarcinoma histology has only been validated post-mortem. It would therefore be of great value if the validity and reliability of MRI could be established in this setting. Methods: Chronic GDER reflux was induced in 19 male Sprague-Dawley rats using the modified Levrat model. At 40 weeks post-surgery, all animals underwent endoscopy, MRI scanning, and post-mortem histological analysis of the esophagus and anastomosis. With post-mortem histology serving as the gold standard, assessment of presence of esophageal cancer was made by five esophageal specialists and five radiologists on endoscopy and MRI, respectively. Results: The accuracy of MRI and endoscopic analysis to correctly identify cancer vs. no cancer was 85.3{\%} and 50.5{\%}, respectively. ROC curves demonstrated that MRI rating had an AUC of 0.966 (p<0.001) and endoscopy rating had an AUC of 0.534 (p = 0.804). The sensitivity and specificity of MRI for identifying cancer vs. no-cancer was 89.1{\%} and 80{\%} respectively, as compared to 45.5{\%} and 57.5{\%} for endoscopy. False positive rates of MRI and endoscopy were 20{\%} and 42.5{\%}, respectively. Conclusions: MRI is a more reliable diagnostic method than endoscopy in the Levrat model. The non-invasiveness of the tool and its potential to volumetrically quantify the size and number of tumors likely makes it even more useful in evaluating novel agents and their efficacy in treatment studies of esophageal cancer.",
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AU - Zaidi, Ali H.

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AU - Kasi, Pashtoon M.

AU - Cothron, Kyle

AU - Thompson, Diane V.

AU - Lynch, Edward

AU - Jobe, Blair A.

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