Comparative study of volumetric measurements on pituitary adenomas based on standard methods of virtual reality reconstruction / 中华神经医学杂志
Chinese Journal of Neuromedicine
; (12): 81-84, 2016.
Article
in Zh
| WPRIM
| ID: wpr-1034317
Responsible library:
WPRO
ABSTRACT
Objective To investigate the accuracy of volumetric measurements (Dotian formula and platform-like volume calculation formula [PLVCA]) in pituitary adenomas and their practicabilities.Methods Forty-five large and giant pituitary adenomas patients,admitted to our hospital from May 2013 to May 2014,were collected.According to the imaging finds of pituitary adenomas,the patients were divided into regular type group and irregular type group;the volume of these tumors were calculated by PLVCA method,Dotian formula and virtual reality (VR) reconstruction method,respectively.The results of VR method were used as the standards to investigate the accuracy of Dotian formula and PLVCA method on pituitary adenomas.Results In 45 pituitary adenomas,17 (37.78%) were regular;the result of tumor volume using VR method was (6.54±11.27) cm3,that using PLVCA method was (5.50±9.40) cm3 and that using Dotian formula was (4.32±9.00) cm3;significant differences were noted between the results of VR method and PLVCA method and the results of VR method and Dotian formula (P<0.05);there was no significant difference between the results of PLVCA method and Dotian formula (P>0.05).Another 28 (62.22%) were irregular;the result of volume using VR method was (11.65±16.60) cm3,that using PLVCA method was (11.50±16.18) cm3,there was no significant difference between the two results (P>0.05);that using Dorian formula was (10.04±19.45) cm3,and there was significant difference between the VR method and Dotan formula (P<0.05),which was also found between PLVCA method and Tada formula (P<0.05).Conclusion PLVCA method has a higher accuracy in volume measurement of pituitary adenomas than Dotian formula,especially in irregular adenomas.
Full text:
1
Index:
WPRIM
Type of study:
Guideline
Language:
Zh
Journal:
Chinese journal of neuromedicine
Year:
2016
Type:
Article