Evidence map›Paper›PMID 28298390›Full record

ArticleJournal of clinical pathology2017

Clinical usefulness of the free web-based image analysis application ImmunoRatio for assessment of Ki-67 labelling index in breast cancer.

Min-Kyung Yeo, Hee Eun Kim, Sung Hun Kim, Byung Joo Chae, Byung Joo Song, Ahwon Lee

Open access · hybridAbstract readEvaluation StudyValidation Study
In one paragraph

Article in Journal of clinical pathology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 30% 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

6 citing papers in PubMed, 18 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Min-Kyung YeoDepartment of Hospital Pathology, The Catholic university of Korea, College of Medicine, Seoul, Republic of Korea.
Hee Eun KimDepartment of Hospital Pathology, The Catholic university of Korea, College of Medicine, Seoul, Republic of Korea.
Sung Hun KimDepartment of Radiology, The Catholic University of Korea, Seoul St. Mary's Hospital, Seoul, Republic of Korea.
Byung Joo ChaeDepartment of Surgery, The Catholic University of Korea, Seoul St. Mary's Hospital, Seoul, Republic of Korea.
Byung Joo SongDepartment of Surgery, The Catholic University of Korea, Seoul St. Mary's Hospital, Seoul, Republic of Korea.
Ahwon LeeDepartment of Hospital Pathology, The Catholic university of Korea, College of Medicine, Seoul, Republic of Korea.
Catholic University of Korea · KRSeoul St. Mary's Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsKi-67 is a prognostic marker in breast cancer; however, the use of the Ki-67 labelling index (LI) in clinical practice requires a consistent and easily accessible scoring method. The present study evaluated the use of the free internet-based image analysis program ImmunoRatio to score Ki-67 LI in breast cancer in comparison with manual counting.

methodsKi-67 immunohistochemical detection was performed in 577 breast cancer cases, and the Ki-67 LI was determined by ImmunoRatio and manual counting.

resultsThe Ki-67 LI determined by ImmunoRatio correlated well with that obtained by manual counting. The concordance rate between ImmunoRatio and manual counting was excellent (κ coefficient of 0.881) at a Ki-67 LI cut-off value of 20%. Cases with high Ki-67 LI by ImmunoRatio were associated with poor overall survival, in particular in the hormone receptor positive group.

conclusionsThe web-based automated image analysis program ImmunoRatio is an attractive alternative to manual counting to determine the Ki-67 LI in breast cancer.

Indexed as

InternetAdultAgedAged, 80 and overBreast NeoplasmsBreast Neoplasms, MaleFemaleHumansImage Processing, Computer-AssistedImmunohistochemistryKaplan-Meier EstimateKi-67 AntigenMaleMiddle AgedPrognosisYoung AdultKi-67 AntigenBREAST CANCERDIGITAL PATHOLOGYPROLIFERATION

Identifiers

PMID28298390
PMCPMC5537563
OpenAlexW2603358613

What OpenQuestion holds

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LicenceCC BY-NC
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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.