Literature DB >> 29724767

Role of the Apparent Diffusion Coefficient as a Predictor of Tumor Progression in Patients with Chordoma.

T Sasaki1,2, T Moritani3,4, A Belay3, A A Capizzano3, S P Sato3, Y Sato3, P Kirby5, S Ishitoya2, A Oya2, M Toda2, K Takahashi2.   

Abstract

BACKGROUND AND
PURPOSE: Diffusion-weighted imaging may aid in distinguishing aggressive chordoma from nonaggressive chordoma. This study explores the prognostic role of the apparent diffusion coefficient in chordomas.
MATERIALS AND METHODS: Sixteen patients with residual or recurrent chordoma were divided postoperatively into those with an aggressive tumor, defined as a growing tumor having a doubling time of <1 year, and those with a nonaggressive tumor on follow-up MR images. The ability of the ADC to predict an aggressive tumor phenotype was investigated by receiver operating characteristic analysis. The prognostic role of ADC was assessed using a Kaplan-Meier curve with a log-rank test.
RESULTS: Seven patients died during a median follow-up of 48 months (range, 4-126 months). Five of these 7 patients were in the aggressive tumor group, and 2 were in the nonaggressive tumor group. The mean ADC was significantly lower in the aggressive tumor group than in the nonaggressive tumor group (P = .002). Receiver operating characteristic analysis showed that a cutoff ADC value of 1.494 × 10-3 × mm2/s could be used to diagnose aggressive tumors with an area under the curve of 0.983 (95% CI, 0.911-1.000), a sensitivity of 1.000 (95% CI, 0.541-1.000), and a specificity of 0.900 (95% CI, 0.555-0.998). Furthermore, a cutoff ADC of ≤1.494 × 10-3 × mm2/s was associated with a significantly worse prognosis (P = .006).
CONCLUSIONS: Lower ADC values could predict tumor progression in postoperative chordomas.
© 2018 by American Journal of Neuroradiology.

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Mesh:

Year:  2018        PMID: 29724767     DOI: 10.3174/ajnr.A5664

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  4 in total

1.  MRI Signal Intensity and Electron Ultrastructure Classification Predict the Long-Term Outcome of Skull Base Chordomas.

Authors:  J Bai; J Shi; S Zhang; C Zhang; Y Zhai; S Wang; M Li; C Li; P Zhao; S Geng; S Gui; L Jing; Y Zhang
Journal:  AJNR Am J Neuroradiol       Date:  2020-05-07       Impact factor: 3.825

Review 2.  A practical overview of CT and MRI features of developmental, inflammatory, and neoplastic lesions of the sphenoid body and clivus.

Authors:  Cosimo Nardi; Davide Maraghelli; Michele Pietragalla; Elisa Scola; Luca Giovanni Locatello; Giandomenico Maggiore; Oreste Gallo; Maurizio Bartolucci
Journal:  Neuroradiology       Date:  2022-06-03       Impact factor: 2.995

3.  Exophytic Lumbar Vertebral Body Mass in an Adult with Back Pain.

Authors:  J C Benson; M A Vizcaino; D K Kim; C Carr; P Rose; L Eckel; F Diehn
Journal:  AJNR Am J Neuroradiol       Date:  2020-08-20       Impact factor: 3.825

4.  Apparent diffusion coefficient as a prognostic factor in clival chordoma.

Authors:  Hyeong-Cheol Oh; Chang-Ki Hong; Kyu-Sung Lee; Yoon Jin Cha; Sung Jun Ahn; Sang Hyun Suh; Hun Ho Park
Journal:  Sci Rep       Date:  2021-01-12       Impact factor: 4.379

  4 in total

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