Evidence map›Paper›PMID 37119336›Full record

ArticleVirchows Archiv : an international journal of pathology2023

Integrating cytology into routine digital pathology workflow: a 5-year journey.

Andrey Bychkov, Akira Yoshikawa, Jijgee Munkhdelger, Takashi Hori, Junya Fukuoka

Abstract read
PubMed Publisher
In one paragraph

Article in Virchows Archiv : an international journal of pathology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. 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

5 authors.

Andrey BychkovDepartment of Pathology, Kameda Medical Center, Kamogawa, 929 Higashi-Cho, Kamogawa, Chiba, Japan. bychkov.andrey@kameda.jp.ORCID http://orcid.org/0000-0002-4203-5696
Akira YoshikawaDepartment of Pathology, Kameda Medical Center, Kamogawa, 929 Higashi-Cho, Kamogawa, Chiba, Japan.
Jijgee MunkhdelgerDepartment of Pathology, Kameda Medical Center, Kamogawa, 929 Higashi-Cho, Kamogawa, Chiba, Japan.ORCID http://orcid.org/0000-0003-3483-2342
Takashi HoriDepartment of Pathology, Kameda Medical Center, Kamogawa, 929 Higashi-Cho, Kamogawa, Chiba, Japan.
Junya FukuokaDepartment of Pathology, Kameda Medical Center, Kamogawa, 929 Higashi-Cho, Kamogawa, Chiba, Japan.ORCID http://orcid.org/0000-0002-2496-3050

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite recent advances in digital imaging, the adoption of digital cytology is challenging due to technical limitations. This study describes our 5-year institutional experience with the implementation of digital cytology. The routine cytology workflow included conventional two-step screening by cytotechnologists, followed by sign out by pathologists. We introduced sign out of cytologic cases using a microscopic digital imaging platform operated by cytotechnologists, which allowed for remote review of slides by cytopathologists via video streaming. We also provided cytologic correlation to support the virtual slide-based sign out of histopathological specimens and for a weekly pathology-radiology conference. In addition, positive cytology cases were archived for integration into the laboratory information system and for prospective computational pathology studies. We also summarized lessons learned over the years and outlined our vision for future developments. This unique experience may serve as a role model for other institutions.

Indexed as

Image Processing, Computer-AssistedPathology, ClinicalCytodiagnosisHumansProspective StudiesWorkflowCytologyDigital pathologyTelecytologyWhole-slide imaging

Identifiers

What Socratic holds

Textmetadata
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 Socratic graph.