Histogram Analysis of Perfusion Parameters from Dynamic Contrast-Enhanced MR Imaging with Tumor Characteristics and Therapeutic Response in Locally Advanced Rectal Cancer

Joint Authors

Oh, Soon Nam
Choi, Moon Hyung
Yeo, Dong Myung
Lee, Sung Hak
Jung, Seung Eun
Lee, Myung Ah

Source

BioMed Research International

Issue

Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-9, 9 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2018-08-13

Country of Publication

Egypt

No. of Pages

9

Main Subjects

Medicine

Abstract EN

Purpose.

To explore the role of histogram analysis of perfusion parameters from dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) based on entire tumor volume in discriminating tumor characteristics and predicting therapeutic response in rectal cancer.

Materials and Methods.

Thirty-seven DCE-MRIs of locally advanced rectal cancer patients who received chemoradiation therapy (CRT) before surgery were analyzed by pharmacokinetic model for quantification and histogram analysis of perfusion parameters.

The results were correlated with tumor characteristics including EGFR expression, KRAS mutation, and CRT response based on the pathologic tumor regression grade (TRG).

Results.

The area under the contrast agent concentration-time curve (AUC) skewness was significantly lower in patients with node metastasis.

The vp histogram parameters were significantly higher in group with perineural invasion (PNI).

The receiver operating characteristics (ROC) curve analyses showed that mode vp revealed the best diagnostic performance of PNI.

The values of Ktrans and kep were significantly higher in the group with KRAS mutation.

ROC curve analyses showed that mean and mode Ktrans demonstrated excellent diagnostic performance of KRAS mutation.

DCE-MRI parameters did not demonstrate statistical significance in correlating with TRG.

Conclusion.

These preliminary results suggest that a larger proportion of higher AUC skewness was present in LN metastasis group and a higher vp histogram value was present in rectal cancer with PNI.

In addition, Ktrans and kep histogram parameters showed difference according to the KRAS mutation, demonstrating the utility of the histogram of perfusion parameters derived from DCE-MRI as potential imaging biomarkers of tumor characteristics and genetic features.

American Psychological Association (APA)

Yeo, Dong Myung& Oh, Soon Nam& Choi, Moon Hyung& Lee, Sung Hak& Lee, Myung Ah& Jung, Seung Eun. 2018. Histogram Analysis of Perfusion Parameters from Dynamic Contrast-Enhanced MR Imaging with Tumor Characteristics and Therapeutic Response in Locally Advanced Rectal Cancer. BioMed Research International،Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1126051

Modern Language Association (MLA)

Yeo, Dong Myung…[et al.]. Histogram Analysis of Perfusion Parameters from Dynamic Contrast-Enhanced MR Imaging with Tumor Characteristics and Therapeutic Response in Locally Advanced Rectal Cancer. BioMed Research International No. 2018 (2018), pp.1-9.
https://search.emarefa.net/detail/BIM-1126051

American Medical Association (AMA)

Yeo, Dong Myung& Oh, Soon Nam& Choi, Moon Hyung& Lee, Sung Hak& Lee, Myung Ah& Jung, Seung Eun. Histogram Analysis of Perfusion Parameters from Dynamic Contrast-Enhanced MR Imaging with Tumor Characteristics and Therapeutic Response in Locally Advanced Rectal Cancer. BioMed Research International. 2018. Vol. 2018, no. 2018, pp.1-9.
https://search.emarefa.net/detail/BIM-1126051

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1126051