Prediction of early response to radiotherapy of uterine carcinoma with dynamic contrast-enhanced MR imaging using pixel analysis of MR perfusion imaging

Yukihisa Takayama, Tatsuya Ohno, Riwa Kishimoto, Shingo Kato, Ryuichi Yoneyama, Susumu Kandatsu, Hirohiko Tsujii, Takayuki Obata

Research output: Contribution to journalArticle

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Abstract

Purpose: To assess the predictability of the response to radiotherapy of uterine carcinoma, this study retrospectively analyzed dynamic contrast-enhanced magnetic resonance images (DCE-MRI) taken before radiotherapy. Materials and Methods: Forty-two patients with uterine carcinoma were studied, of whom 22 had adenocarcinoma and 20 had squamous cell carcinoma (SCC). In DCE-MRI analysis, two parameters, SIe and Rdown, were measured. SIe is a median value for the degree of signal intensity change in all selected pixels in the tumor at 1-2 min after contrast agent injection. Rdown is the ratio of the number of down-sloped pixels to that of all selected pixels 3-7 min after injection. The tumor volume reduction rate (TVRR) was measured by MRI-based volumetry in pre- and post-radiotherapy transverse T2-weighted images. Results: Overall, TVRR was significantly correlated to both SIe (r=0.37, P=.015) and Rdown (r=0.73, P<.0001). In the separate patient groups, SIe but not Rdown was significantly different between the adenocarcinoma and SCC patients (t=3.64, P<.001). TVRR was not correlated to SIe in any group. TVRR was significantly correlated to Rdown in adenocarcinoma patients (r=0.78, P<.001) but not in SCC patients. Conclusion: SIe may reflect differences in histological characteristics. Rdown may be useful for predicting the response to radiotherapy of uterine carcinoma.

Original languageEnglish
Pages (from-to)370-376
Number of pages7
JournalMagnetic Resonance Imaging
Volume27
Issue number3
DOIs
Publication statusPublished - Apr 1 2009

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Perfusion Imaging
Radiotherapy
Tumors
Tumor Burden
Pixels
Carcinoma
Imaging techniques
Squamous Cell Carcinoma
Adenocarcinoma
Magnetic resonance
Magnetic Resonance Spectroscopy
Injections
Magnetic resonance imaging
Image analysis
Contrast Media
Epithelial Cells
Neoplasms

All Science Journal Classification (ASJC) codes

  • Biophysics
  • Radiology Nuclear Medicine and imaging
  • Biomedical Engineering

Cite this

Prediction of early response to radiotherapy of uterine carcinoma with dynamic contrast-enhanced MR imaging using pixel analysis of MR perfusion imaging. / Takayama, Yukihisa; Ohno, Tatsuya; Kishimoto, Riwa; Kato, Shingo; Yoneyama, Ryuichi; Kandatsu, Susumu; Tsujii, Hirohiko; Obata, Takayuki.

In: Magnetic Resonance Imaging, Vol. 27, No. 3, 01.04.2009, p. 370-376.

Research output: Contribution to journalArticle

Takayama, Yukihisa ; Ohno, Tatsuya ; Kishimoto, Riwa ; Kato, Shingo ; Yoneyama, Ryuichi ; Kandatsu, Susumu ; Tsujii, Hirohiko ; Obata, Takayuki. / Prediction of early response to radiotherapy of uterine carcinoma with dynamic contrast-enhanced MR imaging using pixel analysis of MR perfusion imaging. In: Magnetic Resonance Imaging. 2009 ; Vol. 27, No. 3. pp. 370-376.
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