Warning: Declaration of My_Walker::start_el(&$output, $item, $depth, $args) should be compatible with Walker_Nav_Menu::start_el(&$output, $data_object, $depth = 0, $args = NULL, $current_object_id = 0) in /home2/ajnrblog/public_html/ajnrdigest/wp-content/themes/ajnr/functions.php on line 258
Apparent Diffusion Coefficients for Differentiation of Cerebellar Tumors in Children - AJNR News Digest
July 2014
Pediatrics

Apparent Diffusion Coefficients for Differentiation of Cerebellar Tumors in Children

Zoran Rumboldt

I was a brand new neuroradiology attending in my first week at an academic institution, eager to teach the trainees and be useful and helpful to the clinical colleagues, when an MRI of a child with a 4th ventricle mass appeared on the board. It was a large cyst with a small enhancing nodule, and naturally, I called it a pilocytic astrocytoma (PA). But, much to my surprise and disappointment, it turned out to be a medulloblastoma. I went back and looked at all the available preoperative images and noted how the nodule was darker than the intact cerebellum on ADC maps. Over the following months I started paying attention to apparent diffusion coefficient maps in pediatric cerebellar tumors and noted that all medulloblastomas were dark and all PAs were bright. At the time there were already a few studies in the literature suggesting that medulloblastomas may have decreased diffusion, presumably due to their small, densely packed cells.1,2 Direct comparison of different histologic types of pediatric cerebellar tumors had not yet been performed.

So we designed a retrospective study with a hypothesis that medulloblastomas would have lower and PAs higher diffusion than the normal-appearing brain. In addition to measurements, a blinded junior radiology resident independently qualitatively assessed the tumors on ADC maps. An abstract with our results was then rejected at two national meetings. Although not too enthusiastic, we were about to submit our paper to AJNR, when a study showing utility of ADC for differentiation of brain tumors came out,3 reinforcing our confidence. The paper did get accepted and our hypothesis was correct. This article is also a good example of a research study from clinical practice and for clinical practice, without any dedicated additional funding.

In that article we concluded that “ADC values and ratios could prove reliable for distinction of intracranial tumors, if used in a selective manner to answer specific questions, combined with patient’s age, tumor location, and other imaging findings. Isolated analysis of diffusion properties does not provide universally reliable identification of different brain tumor types and grade; however, this may not be clinically relevant, because diagnosis is never based on a single sequence but rather on careful analysis of entire brain MR imaging study.”4 There was some overlap in ADC values of ependymomas with other tumors; however, their very heterogeneous appearance on other sequences is usually highly suggestive of the diagnosis. PAs, hemangioblastomas, and schwannomas are posterior

fossa tumors that may not be distinguished by their diffusion properties, but extra-axial location of schwannomas and presence of prominent flow voids within hemangioblastomas should allow for correct diagnosis.4

The ability to come to the diagnosis by qualitative subjective evaluation, without measurements, makes a method very robust and easy to implement in clinical practice. That’s why ADC maps are so helpful in the differentiation of PAs and medulloblastomas—just bright versus dark. Diffusion MRI has been established as a great tool for differentiation of pediatric cerebellar tumors (along with its multiple other uses), as colleagues from around the world keep confirming. It certainly beats the classic teachings such as the “cyst with a nodule” for PA.5

In the meantime, the field has evolved, and genomic characterization by current consensus has subdivided medulloblastomas into 4 distinct molecular subgroups, which have shown different clinical behaviors. It seems that while MR diffusion characteristics may be excellent in medulloblastoma detection, they are not able to distinguish among these 4 subgroups.6

We are still interested in clinical applications of MR diffusion imaging (readily available in all brain MRIs) and are currently looking into accuracies of diffusion MRI and CT for differentiation of pineal mass lesions (some of the data were just presented at the ASNR meeting in Montreal).

References

  1. Kotsenas AL, Roth TC, Manness WK, et al. Abnormal diffusion-weighted MRI in medulloblastoma: does it reflect small cell histology? Pediatr Radiol 1999;29:524–26, 10.1007/s002470050636
  2. Gauvain KM, McKinstry RC, Mukherjee P, et al. Evaluating pediatric brain tumor cellularity with diffusion-tensor imaging. AJR Am J Roentgenol 2001;177:449–54, 10.2214/ajr.177.2.1770449
  3. Yamasaki F, Kurisu K, Satoh K, et al. Apparent diffusion coefficient of human brain tumors at MR imaging. Radiology 2005;235:985-91, 10.1148/radiol.2353031338
  4. Rumboldt Z, Camacho DLA, Lake D, et al. Apparent diffusion coefficients for differentiation of cerebellar tumors in children. AJNR Am J Neuroradiol 2006;27:1362–69
  5. Rumboldt Z. The Holy Grail and the quest for the gold standard. AJNR Am J Neuroradiol 2010;31:1617–18
  6. Perreault S, Ramaswamy V, Achrol AS, et al. MRI surrogates for molecular subgroups of medulloblastoma. AJNR Am J Neuroradiol 2014 May 15 [Epub ahead of print], 10.3174/ajnr.A3990

 

Read this article at AJNR.org . . .