Evidence map›Paper›PMID 37201685›Full record

ArticleModern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc2023

Clinical Validation of Stimulated Raman Histology for Rapid Intraoperative Diagnosis of Central Nervous System Tumors.

Misha Movahed-Ezazi, Mustafa Nasir-Moin, Camila Fang, Isabella Pizzillo, Kristyn Galbraith, Steven Drexler, Olga A Krasnozhen-Ratush, Seema Shroff, David Zagzag, Christopher William and 2 more

Open access · greenAbstract read
In one paragraph

Article in Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
4.6field-weighted citation impact, top 6% of its field
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

10 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
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

12 authors at 4 institutions in 1 country.

Misha Movahed-EzaziDepartment of Pathology and Laboratory Medicine, NYU Langone, New York, New York.
Mustafa Nasir-MoinDepartment of Neurosurgery, NYU Langone, New York, New York.
Camila FangDepartment of Pathology and Laboratory Medicine, NYU Langone, New York, New York.
Isabella PizzilloDepartment of Pathology and Laboratory Medicine, NYU Langone, New York, New York.
Kristyn GalbraithDepartment of Pathology and Laboratory Medicine, NYU Langone, New York, New York.
Steven DrexlerDepartment of Pathology and Laboratory Medicine, NYU, Mineola, New York.
Olga A Krasnozhen-RatushDepartment of Pathology and Laboratory Medicine, Baystate Health, Springfield, Massachusetts.
Seema ShroffDepartment of Pathology and Laboratory Medicine, AdventHealth Orlando, Orlando, Florida.
David ZagzagDepartment of Pathology and Laboratory Medicine, NYU Langone, New York, New York; Department of Neurosurgery, NYU Langone, New York, New York.
Christopher WilliamDepartment of Pathology and Laboratory Medicine, NYU Langone, New York, New York.
Daniel OrringerDepartment of Neurosurgery, NYU Langone, New York, New York.
Matija SnuderlDepartment of Pathology and Laboratory Medicine, NYU Langone, New York, New York. Electronic address: Matija.Snuderl@nyulangone.org.
NYU Langone Health · USAdventHealth Orlando · USBaystate Health · USWinthrop-University Hospital · US

Funding

Clinical Translation of Stimulated Raman HistologyR01CA226527 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ORRINGER, DANIEL · 2018 to 2025
$4.4M
Inducing Neural Maturation in Medulloblastoma by Targeting EZH2R01NS122987 · NINDS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI RAJU, PRAVEEN B., SNUDERL, MATIJA · 2022 to 2025
$2.8M
Engineered Glioblastoma Tumor Immunity for Personalized ImmunotherapyR21EB025406 · NIBIB · NEW YORK UNIVERSITY · PI CHEN, WEIQIANG, SNUDERL, MATIJA · 2018 to 2020
$610k
NCI NIH HHS R01 CA226527NIBIB NIH HHS R21 EB025406NINDS NIH HHS R01 NS122987
6 · The paper itself

Abstract

Stimulated Raman histology (SRH) is an ex vivo optical imaging method that enables microscopic examination of fresh tissue intraoperatively. The conventional intraoperative method uses frozen section analysis, which is labor and time intensive, introduces artifacts that limit diagnostic accuracy, and consumes tissue. SRH imaging allows rapid microscopic imaging of fresh tissue, avoids tissue loss, and enables remote telepathology review. This improves access to expert neuropathology consultation in both low- and high-resource practices. We clinically validated SRH by performing a blinded, retrospective two-arm telepathology study to clinically validate SRH for telepathology at our institution. Using surgical specimens from 47 subjects, we generated a data set composed of 47 SRH images and 47 matched whole slide images (WSIs) of formalin-fixed, paraffin-embedded tissue stained with hematoxylin and eosin, with associated intraoperative clinicoradiologic information and structured diagnostic questions. We compared diagnostic concordance between WSI and SRH-rendered diagnoses. Also, we compared the 1-year median turnaround time (TAT) of intraoperative conventional neuropathology frozen sections with prospectively rendered SRH-telepathology TAT. All SRH images were of sufficient quality for diagnostic review. A review of SRH images showed high accuracy in distinguishing glial from nonglial tumors (96.5% SRH vs 98% WSIs) and predicting final diagnosis (85.9% SRH vs 93.1% WSIs). SRH-based diagnosis and WSI-permanent section diagnosis had high concordance (κ = 0.76). The median TAT for prospectively SRH-rendered diagnosis was 3.7 minutes, approximately 10-fold shorter than the median frozen section TAT (31 minutes). The SRH-imaging procedure did not affect ancillary studies. SRH generates diagnostic virtual histologic images with accuracy comparable to conventional hematoxylin and eosin-based methods in a rapid manner. Our study represents the largest and most rigorous clinical validation of SRH to date. It supports the feasibility of implementing SRH as a rapid method for intraoperative diagnosis complementary to conventional pathology laboratory methods.

Indexed as

Central Nervous System NeoplasmsTelepathologyEosine Yellowish-(YS)Frozen SectionsHematoxylinHumansMicroscopyRetrospective StudiesEosine Yellowish-(YS)Hematoxylinartificial intelligencebrain tumorsfrozen sectiongliomaintraoperative diagnosisstimulated Raman histology

Identifiers

PMID37201685
PMCPMC10527246
OpenAlexW4376879890

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.