On the relation between MR spectroscopy features and the distance to MRI-visible solid tumor in GBM patients.

da Silva Mendes Pedrosa de Barros, Nuno Miguel; Meier, Raphael; Pletscher, Martin; Stettler, Samuel; Knecht, Urspeter; Herrmann, Evelyn; Schucht, Philippe; Reyes, Mauricio; Gralla, Jan; Wiest, Roland; Slotboom, Johannes (2018). On the relation between MR spectroscopy features and the distance to MRI-visible solid tumor in GBM patients. Magnetic resonance in medicine, 80(6), pp. 2339-2355. Wiley-Liss 10.1002/mrm.27359

[img] Text
mrm.27359.pdf - Published Version
Restricted to registered users only
Available under License Publisher holds Copyright.
Download (1MB)

PURPOSE

To improve the detection of peritumoral changes in GBM patients by exploring the relation between MRSI information and the distance to the solid tumor volume (STV) defined using structural MRI (sMRI).

METHODS

Twenty-three MRSI studies (PRESS, TE 135 ms) acquired from different patients with untreated GBM were used in this study. For each MRSI examination, the STV was identified by segmenting the corresponding sMRI images using BraTumIA, an automatic segmentation method. The relation between different metabolite ratios and the distance to STV was analyzed. A regression forest was trained to predict the distance from each voxel to STV based on 14 metabolite ratios. Then, the trained model was used to determine the expected distance to tumor (EDT) for each voxel of the MRSI test data. EDT maps were compared against sMRI segmentation.

RESULTS

The features showing abnormal values at the longest distances to the tumor were: %NAA, Glx/NAA, Cho/NAA, and Cho/Cr. These four features were also the most important for the prediction of the distances to STV. Each EDT value was associated with a specific metabolic pattern, ranging from normal brain tissue to actively proliferating tumor and necrosis. Low EDT values were highly associated with malignant features such as elevated Cho/NAA and Cho/Cr.

CONCLUSION

The proposed method enables the automatic detection of metabolic patterns associated with different distances to the STV border and may assist tumor delineation of infiltrative brain tumors such as GBM.

Item Type:

 Journal Article (Original Article)

Division/Institute:

 04 Faculty of Medicine > Department of Radiology, Neuroradiology and Nuclear Medicine (DRNN) > Institute of Diagnostic and Interventional Neuroradiology
04 Faculty of Medicine > Department of Head Organs and Neurology (DKNS) > Clinic of Neurosurgery
04 Faculty of Medicine > Pre-clinic Human Medicine > Institute for Surgical Technology & Biomechanics ISTB [discontinued]
04 Faculty of Medicine > Department of Haematology, Oncology, Infectious Diseases, Laboratory Medicine and Hospital Pharmacy (DOLS) > Clinic of Radiation Oncology

UniBE Contributor:

 da Silva Mendes Pedrosa de Barros, Nuno Miguel, Meier, Raphael, Knecht, Urspeter, Herrmann, Evelyn, Schucht, Philippe, Reyes, Mauricio, Gralla, Jan, Wiest, Roland Gerhard Rudi, Slotboom, Johannes

Subjects:

 600 Technology > 610 Medicine & health
500 Science > 570 Life sciences; biology

ISSN:

 0740-3194

Publisher:

 Wiley-Liss

Language:

 English

Submitter:

 Martin Zbinden

Date Deposited:

 18 Jun 2018 07:47

Last Modified:

 02 Mar 2023 23:30

Publisher DOI:

 10.1002/mrm.27359

PubMed ID:

 29893995

Uncontrolled Keywords:

 GBM MRSI expected distance to tumor nosologic imaging tumor delineation

BORIS DOI:

 10.7892/boris.117233

URI:

 https://boris.unibe.ch/id/eprint/117233

Actions (login required)

Edit item Edit item
Provide Feedback