Literature DB >> 27406557

Apparent diffusion coefficient mapping in medulloblastoma predicts non-infiltrative surgical planes.

Neena I Marupudi1, Deniz Altinok2, Luis Goncalves2, Steven D Ham1, Sandeep Sood3,4.   

Abstract

INTRODUCTION: An appropriate surgical approach for posterior fossa lesions is to start tumor removal from areas with a defined plane to where tumor is infiltrating the brainstem or peduncles. This surgical approach minimizes risk of damage to eloquent areas. Although magnetic resonance imaging (MRI) is the current standard preoperative imaging obtained for diagnosis and surgical planning of pediatric posterior fossa tumors, it offers limited information on the infiltrative planes between tumor and normal structures in patients with medulloblastomas. Because medulloblastomas demonstrate diffusion restriction on apparent diffusion coefficient map (ADC map) sequences, we investigated the role of ADC map in predicting infiltrative and non-infiltrative planes along the brain stem and/or cerebellar peduncles by medulloblastomas prior to surgery.
METHODS: Thirty-four pediatric patients with pathologically confirmed medulloblastomas underwent surgical resection at our facility from 2004 to 2012. An experienced pediatric neuroradiologist reviewed the brain MRIs/ADC map, assessing the planes between the tumor and cerebellar peduncles/brain stem. An independent evaluator documented surgical findings from operative reports for comparison to the radiographic findings. The radiographic findings were statistically compared to the documented intraoperative findings to determine predictive value of the test in identifying tumor infiltration of the brain stem cerebellar peduncles.
RESULTS: Twenty-six patients had preoperative ADC mapping completed and thereby, met inclusion criteria. Mean age at time of surgery was 8.3 ± 4.6 years. Positive predictive value of ADC maps to predict tumor invasion of the brain stem and cerebellar peduncles ranged from 69 to 88 %; negative predictive values ranged from 70 to 89 %. Sensitivity approached 93 % while specificity approached 78 %.
CONCLUSIONS: ADC maps are valuable in predicting the infiltrative and non-infiltrative planes along the tumor and brain stem interface in medulloblastomas. Inclusion and evaluation of ADC maps in preoperative evaluation can assist in surgical resection planning in patients with medulloblastoma.

Entities:  

Keywords:  ADC map; Apparent diffusion coefficient map; Diffusion-weighted imaging; Medulloblastoma; Surgical planes

Mesh:

Year:  2016        PMID: 27406557     DOI: 10.1007/s00381-016-3168-1

Source DB:  PubMed          Journal:  Childs Nerv Syst        ISSN: 0256-7040            Impact factor:   1.475


  19 in total

1.  Abnormal diffusion-weighted MRI in medulloblastoma: does it reflect small cell histology?

Authors:  A L Kotsenas; T C Roth; W K Manness; E N Faerber
Journal:  Pediatr Radiol       Date:  1999-07

2.  Diffusion tensor MRI of the kidney at 3.0 and 1.5 Tesla.

Authors:  Aki Kido; Masako Kataoka; Akira Yamamoto; Yuji Nakamoto; Shigeaki Umeoka; Takashi Koyama; Yoji Maetani; Hiroyuki Isoda; Ken Tamai; Nobuko Morisawa; Tsuneo Saga; Susumu Mori; Kaori Togashi
Journal:  Acta Radiol       Date:  2010-11       Impact factor: 1.990

3.  Usefulness of diffusion-weighted MRI with echo-planar technique in the evaluation of cellularity in gliomas.

Authors:  T Sugahara; Y Korogi; M Kochi; I Ikushima; Y Shigematu; T Hirai; T Okuda; L Liang; Y Ge; Y Komohara; Y Ushio; M Takahashi
Journal:  J Magn Reson Imaging       Date:  1999-01       Impact factor: 4.813

4.  Apparent diffusion coefficients for differentiation of cerebellar tumors in children.

Authors:  Z Rumboldt; D L A Camacho; D Lake; C T Welsh; M Castillo
Journal:  AJNR Am J Neuroradiol       Date:  2006 Jun-Jul       Impact factor: 3.825

5.  Evaluating pediatric brain tumor cellularity with diffusion-tensor imaging.

Authors:  K M Gauvain; R C McKinstry; P Mukherjee; A Perry; J J Neil; B A Kaufman; R J Hayashi
Journal:  AJR Am J Roentgenol       Date:  2001-08       Impact factor: 3.959

6.  Relationships between choline magnetic resonance spectroscopy, apparent diffusion coefficient and quantitative histopathology in human glioma.

Authors:  R K Gupta; T F Cloughesy; U Sinha; J Garakian; J Lazareff; G Rubino; L Rubino; D P Becker; H V Vinters; J R Alger
Journal:  J Neurooncol       Date:  2000-12       Impact factor: 4.130

7.  Can the apparent diffusion coefficient be used as a noninvasive parameter to distinguish tumor tissue from peritumoral tissue in cerebral gliomas?

Authors:  Dirk Pauleit; Karl-Josef Langen; Frank Floeth; Hubertus Hautzel; Markus J Riemenschneider; Guido Reifenberger; N Jon Shah; Hans-Wilhelm Müller
Journal:  J Magn Reson Imaging       Date:  2004-11       Impact factor: 4.813

Review 8.  The role of diffusion-weighted magnetic resonance imaging in pediatric brain tumors.

Authors:  Peter Kan; James K Liu; Gary Hedlund; Douglas L Brockmeyer; Marion L Walker; John R W Kestle
Journal:  Childs Nerv Syst       Date:  2006-09-22       Impact factor: 1.475

9.  Common pediatric cerebellar tumors: correlation between cell densities and apparent diffusion coefficient metrics.

Authors:  Korgün Koral; Derek Mathis; Barjor Gimi; Lynn Gargan; Bradley Weprin; Daniel C Bowers; Linda Margraf
Journal:  Radiology       Date:  2013-04-05       Impact factor: 11.105

10.  Metrics and textural features of MRI diffusion to improve classification of pediatric posterior fossa tumors.

Authors:  D Rodriguez Gutierrez; A Awwad; L Meijer; M Manita; T Jaspan; R A Dineen; R G Grundy; D P Auer
Journal:  AJNR Am J Neuroradiol       Date:  2013-12-05       Impact factor: 3.825

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