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

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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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All Science Journal Classification (ASJC) codes

  • Biophysics
  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

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