Evidence map›Paper›PMID 29594837›Full record

ArticlePituitary2018

Diagnosing pituitary adenoma in unstained sections based on multiphoton microscopy.

Peihua Lin, Xueyong Liu, Shu Wang, Xiaoling Li, Yankun Song, Lianhuang Li, Shanshan Cai, Xingfu Wang, Jianxin Chen

Abstract read
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In one paragraph

Article in Pituitary, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Label-free multiphoton imaging ofNeurophotonics · 2019
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Peihua LinKey Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, 350007, People's Republic of China.
Xueyong LiuDepartment of Pathology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, 350005, People's Republic of China.
Shu WangKey Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, 350007, People's Republic of China.
Xiaoling LiDepartment of Pathology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, 350005, People's Republic of China.
Yankun SongDepartment of Pathology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, 350005, People's Republic of China.
Lianhuang LiKey Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, 350007, People's Republic of China.
Shanshan CaiDepartment of Pathology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, People's Republic of China.
Xingfu WangDepartment of Pathology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, 350005, People's Republic of China. wang_xfu@126.com.
Jianxin ChenKey Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, 350007, People's Republic of China. chenjianxin@fjnu.edu.cn.

Funding

Joint Funds of Fujian Provincial Health and Education Research WKJ2016-2-28National Key Basic Research Program of China 2015CB352006National Natural Science Foundation of China 81271620National Natural Science Foundation of China 81671730Program ofr Changjiang Scholars and Innovative Research Team in University IRT_15R10
6 · The paper itself

Abstract

purposeIf 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.

methodMPM, based on two-photon excited fluorescence (TPEF) and second harmonic generation (SHG) is performed for the diagnosis of pituitary adenoma in unstained sections.

resultsOur 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.

conclusionThese 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.

Indexed as

AdenomaAdolescentAdultAgedAged, 80 and overChildFemaleHumansIn Vitro TechniquesMaleMicroscopyMiddle AgedPituitary NeoplasmsYoung AdultBoundaryDiagnosisMultiphoton microscopyPituitary adenomaReticulin fiber

Identifiers

PMID29594837

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.