Literature DB >> 24750714

Use of apparent diffusion coefficient values for diagnosis of pediatric posterior fossa tumors.

Theodore Pierce1, Peter G Kranz2, Christopher Roth2, Dalun Leong3, Peter Wei4, James M Provenzale5.   

Abstract

We prospectively compared the ability of neuroradiologists to diagnose medulloblastoma with novice raters using only apparent diffusion coefficient (ADC) values measured on ADC maps. One hundred and three pediatric patients with pre-operative magnetic resonance imaging scans showing a posterior fossa tumor with histological verification were retrospectively identified from a ten-year period at a tertiary care medical center. A single observer measured the lowest ADC values in all tumors to determine the mean minimum ADC (ADCmin) value that provided greatest accuracy in distinguishing medulloblastomas from other tumors, which was determined to be 0.66×10(-3) mm(2)/s. Imaging studies, including ADC maps, from 90 patients were provided to two neuroradiologists, who provided a diagnosis, which was later dichotomized as medulloblastoma or other. Two medical students measured ADCmin within tumors and those with ADCmin < 0.66×10(-3) mm(2)/s were recorded as medulloblastoma; any other value was recorded as other. Diagnostic accuracy was measured. ADCmin values allowed a correct identification of lesions as either medulloblastoma or other in 91% of cases. After diagnoses by the two neuroradiologists were categorized as either medulloblastoma or other, their diagnoses were correct in 90% and 84% of cases, respectively. In 19 cases, at least one neuroradiologist was incorrect; the addition of ADC values to clinical interpretation would have allowed a correct diagnosis in 63% of such cases. Diagnostic accuracy based on ADC values by medical students was comparable to that of subspecialty-trained neuroradiologists. Our findings suggest that the addition of ADC values to standard film interpretation may improve the diagnostic rate for these tumors.

Entities:  

Keywords:  apparent diffusion coefficient; children; posterior fossa; tumors

Mesh:

Year:  2014        PMID: 24750714      PMCID: PMC4202860          DOI: 10.15274/NRJ-2014-10027

Source DB:  PubMed          Journal:  Neuroradiol J        ISSN: 1971-4009


  21 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-weighted MRI of haemangioblastomas and other cerebellar tumours.

Authors:  F A Quadery; K Okamoto
Journal:  Neuroradiology       Date:  2003-03-08       Impact factor: 2.804

3.  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

4.  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

5.  Apparent diffusion coefficient of human brain tumors at MR imaging.

Authors:  Fumiyuki Yamasaki; Kaoru Kurisu; Kenichi Satoh; Kazunori Arita; Kazuhiko Sugiyama; Megu Ohtaki; Junko Takaba; Atushi Tominaga; Ryosuke Hanaya; Hiroyuki Yoshioka; Seiji Hama; Yoko Ito; Yoshinori Kajiwara; Kaita Yahara; Taiichi Saito; Muhamad A Thohar
Journal:  Radiology       Date:  2005-04-15       Impact factor: 11.105

6.  The measurement of observer agreement for categorical data.

Authors:  J R Landis; G G Koch
Journal:  Biometrics       Date:  1977-03       Impact factor: 2.571

7.  Atypical teratoid/rhabdoid tumor of the central nervous system: a highly malignant tumor of infancy and childhood frequently mistaken for medulloblastoma: a Pediatric Oncology Group study.

Authors:  P C Burger; I T Yu; T Tihan; H S Friedman; D R Strother; J L Kepner; P K Duffner; L E Kun; E J Perlman
Journal:  Am J Surg Pathol       Date:  1998-09       Impact factor: 6.394

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.  Utility of apparent diffusion coefficient ratios in distinguishing common pediatric cerebellar tumors.

Authors:  Barjor Gimi; Kevin Cederberg; Betul Derinkuyu; Lynn Gargan; Kadriye M Koral; Daniel C Bowers; Korgun Koral
Journal:  Acad Radiol       Date:  2012-04-17       Impact factor: 3.173

10.  Diffusion-weighted MR imaging and pathologic findings in adult cerebellar medulloblastoma.

Authors:  M Rodallec; M Colombat; A Krainik; M Kalamaridès; A Redondo; A Feydy
Journal:  J Neuroradiol       Date:  2004-06       Impact factor: 3.447

View more
  13 in total

Review 1.  Response assessment in medulloblastoma and leptomeningeal seeding tumors: recommendations from the Response Assessment in Pediatric Neuro-Oncology committee.

Authors:  Katherine E Warren; Gilbert Vezina; Tina Y Poussaint; Monika Warmuth-Metz; Marc C Chamberlain; Roger J Packer; Alba A Brandes; Moshe Reiss; Stewart Goldman; Michael J Fisher; Ian F Pollack; Michael D Prados; Patrick Y Wen; Susan M Chang; Christelle Dufour; David Zurakowski; Rolf D Kortmann; Mark W Kieran
Journal:  Neuro Oncol       Date:  2018-01-10       Impact factor: 12.300

2.  Volumetric voxelwise apparent diffusion coefficient histogram analysis for differentiation of the fourth ventricular tumors.

Authors:  Seyedmehdi Payabvash; Tarik Tihan; Soonmee Cha
Journal:  Neuroradiol J       Date:  2018-09-19

3.  Automatic Machine Learning to Differentiate Pediatric Posterior Fossa Tumors on Routine MR Imaging.

Authors:  H Zhou; R Hu; O Tang; C Hu; L Tang; K Chang; Q Shen; J Wu; B Zou; B Xiao; J Boxerman; W Chen; R Y Huang; L Yang; H X Bai; C Zhu
Journal:  AJNR Am J Neuroradiol       Date:  2020-07       Impact factor: 3.825

Review 4.  Current Clinical Brain Tumor Imaging.

Authors:  Javier E Villanueva-Meyer; Marc C Mabray; Soonmee Cha
Journal:  Neurosurgery       Date:  2017-09-01       Impact factor: 4.654

5.  Radiologically occult medulloblastoma with hydrocephalus: case report.

Authors:  Hirokuni Honma; Hideki Ogiwara
Journal:  Childs Nerv Syst       Date:  2017-05-29       Impact factor: 1.475

6.  Application of Apparent Diffusion Coefficient Histogram Metrics for Differentiation of Pediatric Posterior Fossa Tumors : A Large Retrospective Study and Brief Review of Literature.

Authors:  Fabrício Guimarães Gonçalves; Alireza Zandifar; Jorge Du Ub Kim; Luis Octavio Tierradentro-García; Adarsh Ghosh; Dmitry Khrichenko; Savvas Andronikou; Arastoo Vossough
Journal:  Clin Neuroradiol       Date:  2022-06-08       Impact factor: 3.649

7.  Preoperative and postoperative high angular resolution diffusion imaging tractography of cerebellar pathways in posterior fossa tumors.

Authors:  Alpen Ortug; Neslihan Yuzbasioglu; Nejat Akalan; Jacob Levman; Emi Takahashi
Journal:  Clin Anat       Date:  2022-05-20       Impact factor: 2.409

8.  Can apparent diffusion coefficient values help distinguish between different types of pediatric brain tumors?

Authors:  Abdulaziz Mohammad Al-Sharydah; Hussain Khalid Al-Arfaj; Husam Saleh Al-Muhaish; Sari Saleh Al-Suhaibani; Mohammad Saad Al-Aftan; Dana Khaled Almedallah; Abdulrhman Hamad Al-Abdulwahhab; Abdullah Abdulaziz Al-Hedaithy; Saeed Ahmad Al-Jubran
Journal:  Eur J Radiol Open       Date:  2019-01-04

9.  Measurement of Apparent Diffusion Coefficient (ADC) Values of Ependymoma and Medulloblastoma Tumors: a Patient-based Study.

Authors:  H Taheri; M B Tavakoli
Journal:  J Biomed Phys Eng       Date:  2021-02-01

10.  Diagnostic Value of Diffusion-weighted Magnetic Resonance (MR) Imaging, MR Perfusion, and MR Spectroscopy in Addition to Conventional MR Imaging in Intracranial Space-occupying Lesions.

Authors:  Zeynep B Aydın; Hasan Aydın; Erdem Birgi; Baki Hekimoğlu
Journal:  Cureus       Date:  2019-12-18
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.