TY - JOUR
T1 - MRI internal segmentation of optic pathway gliomas
T2 - Clinical implementation of a novel algorithm
AU - Shofty, Ben
AU - Weizman, Lior
AU - Joskowicz, Leo
AU - Constantini, Shlomi
AU - Kesler, Anat
AU - Ben-Bashat, Dafna
AU - Yalon, Michal
AU - Dvir, Rina
AU - Freedman, Sigal
AU - Roth, Jonathan
AU - Ben-Sira, Liat
N1 - Funding Information:
Acknowledgment This work was supported by the Gilbert Israeli Neurofibromatosis Center. This work was performed in partial fulfillment of the M.D. thesis requirements of the Sackler Faculty of Medicine, Tel Aviv University.
PY - 2011/8
Y1 - 2011/8
N2 - Purpose: Optic pathway gliomas (OPGs) are diagnosed based on typical MR features and require careful monitoring with serial MRI. Reliable, serial radiological comparison of OPGs is a difficult task, where accuracy becomes very important for clinical decisions on treatment initiation and results. Current radiological methodology usually includes linear measurements that are limited in terms of precision and reproducibility. Method: We present a method that enables semiautomated segmentation and internal classification of OPGs using a novel algorithm. Our method begins with co-registration of the different sequences of an MR study so that T1 and T2 slices are realigned. The follow-up studies are then re-sliced according to the baseline study. The baseline tumor is segmented, with internal components classified into solid non-enhancing, solid-enhancing, and cystic components, and the volume is calculated. Tumor demarcation is then transferred onto the next study and the process repeated. Numerical values are correlated with clinical data such as treatment and visual ability. Results: We have retrospectively implemented our method on 24 MR studies of three OPG patients. Clinical case reviews are presented here. The volumetric results have been correlated with clinical data and their implications are also discussed. Conclusions: The heterogeneity of OPGs, the long course, and the young age of the patients are all driving the demand for more efficient and accurate means of tumor follow-up. This method may allow better understanding of the natural history of the tumor and provide a more advanced means of treatment evaluation.
AB - Purpose: Optic pathway gliomas (OPGs) are diagnosed based on typical MR features and require careful monitoring with serial MRI. Reliable, serial radiological comparison of OPGs is a difficult task, where accuracy becomes very important for clinical decisions on treatment initiation and results. Current radiological methodology usually includes linear measurements that are limited in terms of precision and reproducibility. Method: We present a method that enables semiautomated segmentation and internal classification of OPGs using a novel algorithm. Our method begins with co-registration of the different sequences of an MR study so that T1 and T2 slices are realigned. The follow-up studies are then re-sliced according to the baseline study. The baseline tumor is segmented, with internal components classified into solid non-enhancing, solid-enhancing, and cystic components, and the volume is calculated. Tumor demarcation is then transferred onto the next study and the process repeated. Numerical values are correlated with clinical data such as treatment and visual ability. Results: We have retrospectively implemented our method on 24 MR studies of three OPG patients. Clinical case reviews are presented here. The volumetric results have been correlated with clinical data and their implications are also discussed. Conclusions: The heterogeneity of OPGs, the long course, and the young age of the patients are all driving the demand for more efficient and accurate means of tumor follow-up. This method may allow better understanding of the natural history of the tumor and provide a more advanced means of treatment evaluation.
KW - Glioma
KW - Neurofibromatosis
KW - Optic pathway
KW - Segmentation
KW - Volumetric
UR - http://www.scopus.com/inward/record.url?scp=79960927016&partnerID=8YFLogxK
U2 - 10.1007/s00381-011-1436-7
DO - 10.1007/s00381-011-1436-7
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C2 - 21452004
AN - SCOPUS:79960927016
SN - 0256-7040
VL - 27
SP - 1265
EP - 1272
JO - Child's Nervous System
JF - Child's Nervous System
IS - 8
ER -