TY - JOUR
T1 - Evaluating neurosurgical biopsies for CNS tumor diagnoses
T2 - An algorithmic and pattern based approach
AU - Vizcaino, M. Adelita
AU - Raghunathan, Aditya
N1 - Publisher Copyright:
© 2022 Wolters Kluwer Medknow Publications. All rights reserved.
PY - 2022/5
Y1 - 2022/5
N2 - The 2016 and 2021 World Health Organization (WHO) Classifications of Tumors of the Central Nervous System (CNS) reflect the importance of integrating molecular analysis into CNS tumor diagnosis and classification, adding to the complexity of any surgical neuropathology practice. On the other hand, our evolving understanding of genomic alterations across the spectrum of CNS tumors highlights the importance of utilizing traditional histological and immunohistochemical approaches to first establish as accurate a diagnosis as possible. Such an approach is also essential to recognizing the most appropriate ancillary test(s) needed for accurate classification and grading of CNS tumors. Here, we present an algorithmic approach to be considered while evaluating surgical neuropathology biopsies, which includes a recognition of main histological patterns, and incorporates clinical and radiologic features, to assist with accurate diagnosis and optimal selection of subsequent ancillary testing.
AB - The 2016 and 2021 World Health Organization (WHO) Classifications of Tumors of the Central Nervous System (CNS) reflect the importance of integrating molecular analysis into CNS tumor diagnosis and classification, adding to the complexity of any surgical neuropathology practice. On the other hand, our evolving understanding of genomic alterations across the spectrum of CNS tumors highlights the importance of utilizing traditional histological and immunohistochemical approaches to first establish as accurate a diagnosis as possible. Such an approach is also essential to recognizing the most appropriate ancillary test(s) needed for accurate classification and grading of CNS tumors. Here, we present an algorithmic approach to be considered while evaluating surgical neuropathology biopsies, which includes a recognition of main histological patterns, and incorporates clinical and radiologic features, to assist with accurate diagnosis and optimal selection of subsequent ancillary testing.
KW - Algorithm
KW - CNS tumors
KW - pattern-based
UR - http://www.scopus.com/inward/record.url?scp=85130020936&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85130020936&partnerID=8YFLogxK
U2 - 10.4103/ijpm.ijpm_1081_21
DO - 10.4103/ijpm.ijpm_1081_21
M3 - Review article
C2 - 35562140
AN - SCOPUS:85130020936
SN - 0377-4929
VL - 65
SP - S99-S110
JO - Indian Journal of Pathology and Microbiology
JF - Indian Journal of Pathology and Microbiology
IS - 5
ER -