Early detection of recurrent medulloblastoma: the critical role of diffusion-weighted imaging

Mariam S Aboian1, Cassie N Kline2, Yi Li1

  • 1Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA.

Neuro-Oncology Practice
|November 8, 2018
PubMed
Abstract

Insights

Diffusion-weighted imaging (DWI) detects medulloblastoma recurrence more effectively than contrast enhancement. All recurrent medulloblastoma lesions showed reduced diffusion, even without contrast enhancement, indicating DWI

Area of Science:

  • Neuro-oncology
  • Pediatric oncology
  • Radiology

Background:

  • Medulloblastoma recurrence diagnosis relies on contrast-enhancing lesions.
  • Diffusion-weighted imaging (DWI) is typically used for complication detection.
  • This study investigates DWI's sensitivity for detecting medulloblastoma recurrence.

Purpose of the Study:

  • To evaluate the sensitivity of DWI in detecting medulloblastoma recurrence.
  • To compare DWI findings with contrast enhancement on T1-weighted imaging.
  • To assess the role of DWI in identifying nonenhancing recurrent medulloblastoma.

Main Methods:

  • Retrospective analysis of 53 pediatric medulloblastoma patients.
  • MRI scans at recurrence diagnosis and 6 months prior were reviewed.
  • Evaluated for new lesions, reduced diffusion on DWI, contrast enhancement, and location.

Main Results:

  • All 21 recurrent medulloblastoma lesions demonstrated reduced diffusion.
  • Apparent diffusion coefficient (ADC) values were significantly lower in recurrent lesions.
  • 76.2% of recurrences showed contrast enhancement; however, all nonenhancing lesions had reduced diffusion.

Conclusions:

  • Reduced diffusion on DWI is a consistent marker for medulloblastoma recurrence.
  • DWI is more sensitive than contrast enhancement for detecting recurrence, especially nonenhancing leptomeningeal or focal disease.
  • Medulloblastoma recurrence can manifest as a reduced diffusion lesion on MRI without contrast enhancement.

Related Concept Videos

Diffusion01:12

Diffusion

Diffusion is the passive movement of substances down their concentration gradients—requiring no expenditure of cellular energy. Substances, such as molecules or ions, diffuse from an area of high concentration to an area of low concentration in the cytosol or across membranes. Eventually, the concentration will even out, with the substance moving randomly but causing no net change in concentration. Such a state is called dynamic equilibrium, which is essential for maintaining overall...
218.6K
Diffusion01:21

Diffusion

Diffusion is a type of passive transport. In passive transport, a substance tends to move from an area of high concentration to an area of low concentration until the concentration is equal across the space. For example, take the diffusion of substances through the air. When someone opens a perfume bottle in a room filled with people, the perfume is at its highest concentration in the bottle and is at its lowest at the edges of the room. The perfume vapor will diffuse, or spread away, from the...
6.4K
Weighted Mean00:57

Weighted Mean

While taking the arithmetic, geometric, or harmonic mean of a sample data set, equal importance is assigned to all the data points. However, all the values may not always be equally important in some data sets. An intrinsic bias might make it more important to give more weightage to specific values over others.
For example, consider the number of goals scored in the matches of a tournament. While computing the average number of goals scored in the tournament, it may be more important to...
6.3K
Critical Region, Critical Values and Significance Level01:16

Critical Region, Critical Values and Significance Level

The critical region, critical value, and significance level are interdependent concepts crucial in hypothesis testing.
In hypothesis testing, a sample statistic is converted to a test statistic using z, t, or chi-square distribution. A critical region is an area under the curve in  probability distributions demarcated by the critical value. When the test statistic falls in this region, it suggests that the null hypothesis must be rejected. As this region contains all those values of the...
13.4K
Critical Values01:31

Critical Values

A critical value is a definite value obtained from a particular probability distribution at a predecided confidence level (or a predecided significance level) for a given population parameter. The critical value provides demarcation that separates the sample statistics that are likely to occur from the ones that are unlikely to occur based on the given probability distribution and the population parameter to be estimated. The critical value for normal distribution is obtained from the z...
10.3K
Critical Thinking I01:24

Critical Thinking I

Critical thinking helps decision-making and allows nurses to recognize barriers to success and find solutions to possible issues. It helps to brainstorm and implement ideas to achieve goals. Critical thinking helps acknowledge and state workflow inefficiencies while improving management techniques. Nurses understand the value of critical thinking and look for fellow nurses with critical thinking skills to upgrade their professional standards. Critical thinking can advance a nurse's career...
5.1K