scholarly journals A Brief Overview of the WHO Classification of Breast Tumors, 4th Edition, Focusing on Issues and Updates from the 3rd Edition

Breast Care ◽  
2013 ◽  
Vol 8 (2) ◽  
pp. 149-154 ◽  
Author(s):  
Hans-Peter Sinn ◽  
Hans Kreipe
Keyword(s):  
Who Classification ◽  
Breast Tumors

scholarly journals Identification of potentially misleading terminology in the fifth edition WHO Classification of Tumours digestive and breast tumours blue books

Pathology ◽  
2021 ◽  
Vol 53 ◽  
pp. S57
Author(s):  
Z.-L. Chow ◽  
V.A. White ◽  
B.I. Indave ◽  
D. Lokuhetty ◽  
I.A. Cree
Keyword(s):  
Who Classification ◽  
Breast Tumours

scholarly journals Multiple PET tracers for use in the classification of gliomas according to the 2016 WHO criteria

2020 ◽  
Author(s):  
Keisuke Miyake ◽  
Kenta Suzuki ◽  
Tomoya B Ogawa ◽  
Daisuke Ogawa ◽  
Tetsuhiro Hatakeyama ◽  
...  
Keyword(s):  
Who Classification ◽  
Standardized Uptake Value ◽  
Metabolic Tumor Volume ◽  
Who Criteria ◽  
Pet Tracers ◽  
Pet Tracer ◽  
Positron Emission ◽  
18F Fdg ◽  
Classification Of Gliomas

Abstract Background The molecular diagnosis of gliomas such as isocitrate dehydrogenase (IDH) status (wild-type [wt] or mutation [mut]) is especially important in the 2016 WHO classification. Positron emission tomography (PET) has afforded molecular and metabolic diagnostic imaging. The present study aimed to define the interrelationship between the 2016 WHO classification of gliomas and the integrated data from PET images using multiple tracers, including 18F-fluorodeoxyglucose ( 18F-FDG), 11C-methionine ( 11C-MET), 18F-fluorothymidine ( 18F-FLT), and 18F-fluoromisonidazole ( 18F-FMISO). Methods This retrospective, single-center study comprised 113 patients with newly diagnosed glioma based on the 2016 WHO criteria. Patients were divided into four glioma subtypes (Mut, Codel, Wt, and glioblastoma multiforme [GBM]). Tumor standardized uptake value (SUV) divided by mean normal cortical SUV (tumor-normal tissue ratio [TNR]) was calculated for 18F-FDG, 11C-MET, and 18F-FLT. Tumor-blood SUV ratio (TBR) was calculated for 18F-FMISO. To assess the diagnostic accuracy of PET tracers in distinguishing glioma subtypes, a comparative analysis of TNRs and TBR as well as the metabolic tumor volume (MTV) were calculated by Scheffe’s multiple comparison procedure for each PET tracer following the Kruskal–Wallis test. Results The differences in mean 18F-FLT TNR and 18F-FMISO TBR were significant between GBM and other glioma subtypes (p < 0.001). Regarding the comparison between Gd-T1WI volumes and 18F-FLT MTVs or 18F-FMISO MTVs, we identified significant differences between Wt and Mut or Codel (p < 0.01). Conclusion Combined administration of four PET tracers might aid in the preoperative differential diagnosis of gliomas according to the 2016 WHO criteria.

scholarly journals WHO classification of tumors of the nervous system: preview of the upcoming 5th edition

2021 ◽  
Author(s):  
Elisabeth J. Rushing
Keyword(s):  
Nervous System ◽  
Who Classification ◽  
Epigenetic Alterations ◽  
Classification Of Tumors ◽  
Central Nervous Sytem

SummaryIdentification of the underlying genetic and epigenetic alterations in an increasing number of tumors of the nervous system is contributing to a more clinically relevant classification. In the following article, the 7 cIMPACT-NOW publications, which adumbrate the upcoming 5th edition of the WHO Classification of Tumours of the Central Nervous Sytem are summarized.

scholarly journals Feature Extraction from a Signature Based on the Turning Angle Function for the Classification of Breast Tumors

2007 ◽  
Vol 21 (2) ◽  
pp. 129-144 ◽  
Author(s):  
Denise Guliato ◽  
Juliano D. de Carvalho ◽  
Rangaraj M. Rangayyan ◽  
Sérgio A. Santiago
Keyword(s):  
Feature Extraction ◽  
Breast Tumors ◽  
Turning Angle ◽  
Angle Function

The WHO classification of mature T-cell leukemias

Blood ◽  
2004 ◽  
Vol 104 (9) ◽  
pp. 2989-2990 ◽  
Author(s):  
Daniel Catovsky ◽  
Estella Matutes ◽  
Claire Dearden ◽  
Nnenna Osuji ◽  
Vasantha Brito-Babapulle
Keyword(s):  
T Cell ◽  
Who Classification
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