Evidence map›Paper›PMID 40522771›Full record

ReviewCancer cytopathology2025

Current landscape and emerging opportunities for using telecytology for rapid on-site assessment in cytopathology.

Savitri Krishnamurthy

Abstract readReview
In one paragraph

Review in Cancer cytopathology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

1 author.

Savitri KrishnamurthyDepartment of Anatomical Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.ORCID 0000-0001-9030-4136

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, cytopathology practices increasingly are considering the adoption of digital modalities to support remote rapid on-site evaluation (ROSE) of fine-needle aspiration biopsies. Currently, various digital options are available, each of which has unique advantages and limitations. This review covers all relevant aspects of telecytology for ROSE, including digital pathology options, operators, validation, quality assurance, reimbursement, and recommendations from professional organizations. The evolving landscape of telecytology for ROSE, including the development of devices for standardized specimen preparation and staining, next-generation digital microscopy techniques, and deep-learning-based artificial intelligence tools as decision-support aids for the interpretation of digital images, also is outlined.

Indexed as

CytodiagnosisNeoplasmsTelepathologyArtificial IntelligenceBiopsy, Fine-NeedleHumansMicroscopyartificial intelligence (AI)digital cytopathologydigital microscopyrapid on‐site evaluation (ROSE)telecytology

Identifiers

PMID40522771
PMCPMC12169389

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.