Bivariate relationships between the variables analyzed on preoperative MRI and CP topography

MRI VariablesaP ValueSpecific Relationships
3V occupation<.001Free: highest rate in Sellar-SS (57%)
Occupied: in 100% of Pseudo-3V, Secondary, 3V-Not-Strict, and 3V-Strict cases
Stalk visualization<.001Visible (wholly identifiable): highest rate in 3V-Strict (79%)
Infiltrated: highest rate in 3V-Not-Strict (23%)
Amputated (lower half visible): highest rate in 3V-Not-Strict (68%)
Not visible: highest rates in Sellar-SS (92%%), Pseudo-3V (100%), and Secondary-3V (92%)
Hypothalamus level relative to the CP<.001Lower third: highest rate in 3V-Strict (82%)
Middle: highest rates in 3V-Not-Strict (91%) and Secondary-3V (77%)
Upper third: highest rates in Sellar-SS (100%) and Pseudo-3V (91%)
Chiasmatic cistern<.001Free: highest rate in 3V-Strict (98%)
Partially occupied: highest rate in 3V-Not-Strict (54%)
Wholly occupied: highest rates in Sellar-SS (86.5%), Pseudo-3V (97%), and Secondary-3V (75%)
MBA<.001<30°: highest rate in 3V-Not-Strict (43%)
30°–59°: highest rates in Secondary-3V (58%) and 3V-Strict (55%)
60°–89°: highest rate in Sellar-SS (64%)
≥90°: highest rate in Pseudo-3V (89%)
Chiasm distortion<.001Compressed downward: highest rates in 3V-Strict (66%) and 3V-Not-Strict (33%)
Compressed forward: highest rate in 3V-Not-Strict (40%)
Stretched forward: highest rate in Secondary-3V (50%)
Stretched upward: highest rates in Sellar-SS (81%) and Pseudo-3V (70%)
Tumor shape<.001Round: highest rate in 3V-Strict (76%)
Elliptical: highest rate in 3V-Not-Strict (37%)
Multilobulated: highest rates in Pseudo-3V (62.5%) and Secondary-3V (62.5%)
Pearlike: highest rates in Sellar-SS (30%) and Pseudo-3V (19%)
Dumbbell: highest rates in Sellar-SS (13.5%)
  • Note:—SS indicates suprasellar; 3V-Not-Strict, not strictly intraventricular or infundibulo-tuberal; Pseudo-3V, suprasellar pseudointraventricular; Secondary-3V, secondary intraventricular category; 3V-Strict, strictly intraventricular.

  • a Only the 7 variables included in the multivariate predictive model are shown.