Evidence map›Paper›PMID 37958225›Full record

ArticleDiagnostics (Basel, Switzerland)2023

Rapid Remote Online Evaluation in Endoscopic Diagnostics: An Analysis of Biopsy-Proven Respiratory Cytopathology.

Hatice Elmas, Binnur Önal, Stefan Steurer, Birgit Hantzsch-Kuhn, Martin Claussen, Elnur Mehdi, Ümit Ince, Klaus F Rabe, Guido Sauter, Lutz Welker

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 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.

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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

10 authors.

Hatice ElmasSection Cytopathology, Institute of Pathology, University Medical Center Hamburg-Eppendorf UKE, D-20246 Hamburg, Germany.
Binnur ÖnalAcıbadem Healthcare Group, Pathology Department, Acıbadem University, 34752 Istanbul, Turkey.
Stefan SteurerSection Cytopathology, Institute of Pathology, University Medical Center Hamburg-Eppendorf UKE, D-20246 Hamburg, Germany.
Birgit Hantzsch-KuhnLungenClinic Großhansdorf, D-22927 Großhansdorf, Germany.
Martin ClaussenLungenClinic Großhansdorf, D-22927 Großhansdorf, Germany.
Elnur MehdiDepartment of Nuclear Medicine, National Center of Oncology, 1012 Baku, Azerbaijan.
Ümit InceAcıbadem Healthcare Group, Pathology Department, Acıbadem University, 34752 Istanbul, Turkey.
Klaus F RabeLungenClinic Großhansdorf, D-22927 Großhansdorf, Germany.
Guido SauterSection Cytopathology, Institute of Pathology, University Medical Center Hamburg-Eppendorf UKE, D-20246 Hamburg, Germany.
Lutz WelkerSection Cytopathology, Institute of Pathology, University Medical Center Hamburg-Eppendorf UKE, D-20246 Hamburg, Germany.ORCID 0000-0001-7061-9309

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis prospective study assesses the use of rapid remote online cytological evaluation for diagnosing endoscopical achieved biopsies. It focuses on its effectiveness in identifying benign and malignant conditions using digital image processing.

methodsThe study was conducted between April 2021 and September 2022 and involved analyses of 314 Rapid Remote Online Cytological Evaluations in total (154 imprint cytologies, 143 fine needle aspirations and 17 brush cytologies) performed on 239 patients at the LungenClinic Grosshansdorf. During on-site evaluation via telecytology, the time requirement was recorded and the findings were compared with the cyto-/histological and final diagnoses.

resultsBy means of rapid remote online evaluation, findings of 86 cytological benign, 190 malignant and 38 unclear diagnoses were recorded (Ø assessment time, 100 s; range, 11-370 s). In 27 of the 37 specimens with unclear diagnoses, the final findings were malignant tumours and only 6 were benign changes. The diagnosis of another 4 of these 37 findings remained unclear. Excluding these 37 specimens, rapid remote online evaluation achieved a sensitivity of 90.5% with a specificity of 98.5% and a correct classification rate of 92.4% with regard to the final diagnosis of all cases. As expected, an increase in the sensitivity rate for the cytological detection of malignant tumours (76.1% vs. 92.5%) was found especially in fine-needle aspirations.

conclusionsRapid remote online analysis allows the fast quantitative and qualitative evaluation of clinically obtained cytological specimens. With a correct classification rate of more than 93%, sampling deficiencies can be corrected promptly and diagnostic and therapeutic approaches can be derived.

Indexed as

cytopathologydiagnostic accuracyEBUSendoscopic diagnosticslung cytologyROSEtelecytologytelepathologywhole-slide imaging

Identifiers

PMID37958225
PMCPMC10647841

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