Journal
PITUITARY
Volume 21, Issue 4, Pages 362-370Publisher
SPRINGER
DOI: 10.1007/s11102-018-0882-6
Keywords
Multiphoton microscopy; Pituitary adenoma; Diagnosis; Reticulin fiber; Boundary
Categories
Funding
- National Natural Science Foundation of China [81671730, 81271620]
- Joint Funds of Fujian Provincial Health and Education Research [WKJ2016-2-28]
- National Key Basic Research Program of China [2015CB352006]
- Program for Changjiang Scholars and Innovative Research Team in University [IRT_15R10]
- High-level Hospital Project of Fujian Province
Ask authors/readers for more resources
Purpose If we can find a new method that can achieve rapid diagnosis of adenoma during operation, it will help surgeon shorten the operation time and enhance the treatment efficacy. This study discusses the feasibility of multiphoton microscopy (MPM) in diagnosing pituitary adenoma. Method MPM, based on two-photon excited fluorescence (TPEF) and second harmonic generation (SHG) is performed for the diagnosis of pituitary adenoma in unstained sections. Results Our results show that MPM can reveal the variation of reticulin fiber by SHG signals of collagen, combined with the measurement of area of acinus, thickness of collagen fiber and collagen percentage. MPM can further reflect the change of meshwork in normal pituitary and hyperplasia quantitatively. And the characteristics of typical growth patterns of pituitary adenoma are demonstrated by the overlay of SHG and TPEF images. What's more, we can identify the boundary of normal pituitary, hyperplasia and adenoma from MPM images. And the experiment also results verify the feasibility of this method in frozen sections. Conclusion These results indicated that MPM can make a diagnosis of pituitary adenoma by the morphological changes without routine pathological processing including hematoxylin-eosin (H&E) staining and other special staining. Therefore, this technique is expected to help diagnosis of pituitary adenoma during operation.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available