Literature DB >> 28110647

The Importance of Histology and Pathology in Mass Spectrometry Imaging.

K Schwamborn1.   

Abstract

Mass spectrometry imaging (MSI) has become a valuable tool in cancer research. Even more, due to its capability to directly link molecular changes with histology, it holds the prospect to revolutionize tissue-based diagnostics. In order to learn to walk before running, however, information obtained through classical histology should not be neglected but rather used to its full capacity and integrated with mass spectrometry data to lead to a superior molecular histology synthesis. In order to achieve this, pathomorphological analyses have to be integrated into MSI analyses right from the beginning to avoid errors and pitfalls of MSI application possibly leading to incorrect or imprecise study outcomes. Such errors can be caused by different sample or tissue inherent factors or through factors in sample preparation. Future studies should, therefore, aim for a comprehensive incorporation of histology and pathology characteristics to ensure the generation of high-quality data in MSI to exploit its full capacity in tissue-based basic and translational research.
© 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Histology; Mass spectrometry imaging; Pathology

Mesh:

Substances:

Year:  2016        PMID: 28110647     DOI: 10.1016/bs.acr.2016.11.001

Source DB:  PubMed          Journal:  Adv Cancer Res        ISSN: 0065-230X            Impact factor:   6.242


  8 in total

1.  Beyond the H&E: Advanced Technologies for in situ Tissue Biomarker Imaging.

Authors:  Lauren E Himmel; Troy A Hackett; Jessica L Moore; Wilson R Adams; Giju Thomas; Tatiana Novitskaya; Richard M Caprioli; Andries Zijlstra; Anita Mahadevan-Jansen; Kelli L Boyd
Journal:  ILAR J       Date:  2018-12-01

2.  Automated Cancer Diagnostics via Analysis of Optical and Chemical Images by Deep and Shallow Learning.

Authors:  Olof Gerdur Isberg; Valentina Giunchiglia; James S McKenzie; Zoltan Takats; Jon Gunnlaugur Jonasson; Sigridur Klara Bodvarsdottir; Margret Thorsteinsdottir; Yuchen Xiang
Journal:  Metabolites       Date:  2022-05-18

3.  Effects of Image Quantity and Image Source Variation on Machine Learning Histology Differential Diagnosis Models.

Authors:  Elham Vali-Betts; Kevin J Krause; Alanna Dubrovsky; Kristin Olson; John Paul Graff; Anupam Mitra; Ananya Datta-Mitra; Kenneth Beck; Aristotelis Tsirigos; Cynthia Loomis; Antonio Galvao Neto; Esther Adler; Hooman H Rashidi
Journal:  J Pathol Inform       Date:  2021-01-23

4.  Histology-guided high-resolution AP-SMALDI mass spectrometry imaging of wheat-Fusarium graminearum interaction at the root-shoot junction.

Authors:  Dhaka Ram Bhandari; Qing Wang; Bin Li; Wolfgang Friedt; Andreas Römpp; Bernhard Spengler; Sven Gottwald
Journal:  Plant Methods       Date:  2018-11-17       Impact factor: 4.993

5.  Subtyping non-small cell lung cancer by histology-guided spatial metabolomics.

Authors:  Judith Martha Neumann; Hinrich Freitag; Jasmin Saskia Hartmann; Karsten Niehaus; Michail Galanis; Martin Griesshammer; Udo Kellner; Hanna Bednarz
Journal:  J Cancer Res Clin Oncol       Date:  2021-11-28       Impact factor: 4.553

Review 6.  The application of mass spectrometry imaging in traditional Chinese medicine: a review.

Authors:  Lieyan Huang; Lixing Nie; Zhong Dai; Jing Dong; Xiaofei Jia; Xuexin Yang; Lingwen Yao; Shuang-Cheng Ma
Journal:  Chin Med       Date:  2022-03-05       Impact factor: 5.455

7.  MALDI-MSI: A Powerful Approach to Understand Primary Pancreatic Ductal Adenocarcinoma and Metastases.

Authors:  Juliana Pereira Lopes Gonçalves; Christine Bollwein; Anna Melissa Schlitter; Mark Kriegsmann; Anne Jacob; Wilko Weichert; Kristina Schwamborn
Journal:  Molecules       Date:  2022-07-27       Impact factor: 4.927

Review 8.  Mass Spectrometry Imaging Spatial Tissue Analysis toward Personalized Medicine.

Authors:  Juliana P L Gonçalves; Christine Bollwein; Kristina Schwamborn
Journal:  Life (Basel)       Date:  2022-07-12
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.