Literature DB >> 17356177

Malignant supratentorial astrocytoma treated with postoperative radiation therapy: prognostic value of pretreatment quantitative diffusion-weighted MR imaging.

Ryuji Murakami1, Takeshi Sugahara, Hideo Nakamura, Toshinori Hirai, Mika Kitajima, Yoshiko Hayashida, Yuji Baba, Natsuo Oya, Jun-Ichi Kuratsu, Yasuyuki Yamashita.   

Abstract

PURPOSE: To retrospectively evaluate whether the minimum apparent diffusion coefficient (ADC) of the tumor seen on pretreatment magnetic resonance (MR) images is of prognostic value in patients with malignant supratentorial astrocytoma.
MATERIALS AND METHODS: The study was approved by the institutional review board; the requirement for informed patient consent was waived. Between June 1996 and November 2003, 79 patients (44 male, 35 female; age range, 16-76 years) with malignant supratentorial astrocytoma underwent pretreatment MR imaging. Patient age, symptom duration, neurologic function, mental status, Karnofsky performance scale (KPS) score, extent of surgery, histopathologic diagnosis, tumor component enhancement, and minimum ADC were assessed at factor analysis of survival. Radiation Therapy Oncology Group-recursive partitioning analysis (RTOG-RPA) criteria were used to validate the prognostic value of the minimum ADC. Kaplan-Meier survival curves, the log-rank test, and the multivariate Cox proportional hazards model were used to evaluate the prognostic factors.
RESULTS: Twenty-nine patients had anaplastic astrocytoma, and 50 had glioblastoma multiforme. The minimum ADC was significantly lower in patients with glioblastoma multiforme than in those with anaplastic astrocytoma (P < .001). The two-year survival rates associated with low (<or=1.0 x 10(-3) mm(2)/sec) and high (>1.0 x 10(-3) mm(2)/sec) minimum ADCs were 14% (six of 42 patients) and 84% (31 of 37 patients), respectively (P < .001). The minimum ADC was the most important prognostic factor (hazard ratio = 10.459; 95% confidence interval: 5.113, 21.396) and could be used to assign patients to different prognostic groups in each RTOG-RPA class.
CONCLUSION: The minimum ADC at pretreatment MR imaging is a useful clinical prognostic biomarker for survival in patients with malignant supratentorial astrocytoma.

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Year:  2007        PMID: 17356177     DOI: 10.1148/radiol.2432060450

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  56 in total

1.  Measurement of SUVmax plus ADCmin of the primary tumour is a predictor of prognosis in patients with cervical cancer.

Authors:  Keiichiro Nakamura; Ikuo Joja; Junichi Kodama; Atsushi Hongo; Yuji Hiramatsu
Journal:  Eur J Nucl Med Mol Imaging       Date:  2011-11-10       Impact factor: 9.236

2.  The role of pre-treatment diffusion-weighted MRI in predicting long-term outcome of colorectal liver metastasis.

Authors:  H H Tam; D J Collins; G Brown; I Chau; D Cunningham; M O Leach; D-M Koh
Journal:  Br J Radiol       Date:  2013-08-30       Impact factor: 3.039

3.  Prognostic Value of Dynamic Susceptibility Contrast-Enhanced and Diffusion-Weighted MR Imaging in Patients with Glioblastomas.

Authors:  G Çoban; S Mohan; F Kural; S Wang; D M O'Rourke; H Poptani
Journal:  AJNR Am J Neuroradiol       Date:  2015-04-02       Impact factor: 3.825

4.  Proton MR spectroscopy provides relevant prognostic information in high-grade astrocytomas.

Authors:  C Majós; J Bruna; M Julià-Sapé; M Cos; A Camins; M Gil; J J Acebes; C Aguilera; C Arús
Journal:  AJNR Am J Neuroradiol       Date:  2010-10-28       Impact factor: 3.825

5.  Prediction of biochemical recurrence following radical prostatectomy in men with prostate cancer by diffusion-weighted magnetic resonance imaging: initial results.

Authors:  Sung Yoon Park; Chan Kyo Kim; Byung Kwan Park; Hyun Moo Lee; Kyung Soo Lee
Journal:  Eur Radiol       Date:  2010-11-03       Impact factor: 5.315

6.  Diffusion-weighted imaging can correctly identify false-positive lymph nodes on positron emission tomography in non-small cell lung cancer.

Authors:  Hiroaki Nomori; Yue Cong; Hiroshi Sugimura; Yoshiaki Kato
Journal:  Surg Today       Date:  2015-12-10       Impact factor: 2.549

7.  Performance evaluation of radiologists with artificial neural network for differential diagnosis of intra-axial cerebral tumors on MR images.

Authors:  K Yamashita; T Yoshiura; H Arimura; F Mihara; T Noguchi; A Hiwatashi; O Togao; Y Yamashita; T Shono; S Kumazawa; Y Higashida; H Honda
Journal:  AJNR Am J Neuroradiol       Date:  2008-04-03       Impact factor: 3.825

8.  Application of diffusion-weighted magnetic resonance imaging to predict the intracranial metastatic tumor response to gamma knife radiosurgery.

Authors:  Cheng-Chia Lee; Max Wintermark; Zhiyuan Xu; Chun-Po Yen; David Schlesinger; Jason P Sheehan
Journal:  J Neurooncol       Date:  2014-04-24       Impact factor: 4.130

9.  Apparent diffusion coefficient obtained by magnetic resonance imaging as a prognostic marker in glioblastomas: correlation with MGMT promoter methylation status.

Authors:  Andrea Romano; L F Calabria; F Tavanti; G Minniti; M C Rossi-Espagnet; V Coppola; S Pugliese; D Guida; G Francione; C Colonnese; L M Fantozzi; A Bozzao
Journal:  Eur Radiol       Date:  2012-08-10       Impact factor: 5.315

10.  MR diffusion tensor and perfusion-weighted imaging in preoperative grading of supratentorial nonenhancing gliomas.

Authors:  Xiang Liu; Wei Tian; Balasubramanya Kolar; Gabrielle A Yeaney; Xing Qiu; Mahlon D Johnson; Sven Ekholm
Journal:  Neuro Oncol       Date:  2011-02-04       Impact factor: 12.300

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