Evidence map›Paper›PMID 31911370›Full record

ArticleBreast (Edinburgh, Scotland)2020

An interobserver reproducibility analysis of size-set semiautomatic counting for Ki67 assessment in breast cancer.

Yi-Xing Wang, Yuan-Yuan Wang, Cheng-Gang Yang, Hong Bu, Wen-Tao Yang, Li Wang, Wen-Mang Xu, Xi-Long Zhao, Wen-Xing Zhao, Lei Li and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Breast (Edinburgh, Scotland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.2field-weighted citation impact, top 9% 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

14 citing papers in PubMed, 32 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

12 authors at 2 institutions in 1 country.

Yi-Xing WangDepartment of Pathology, 920th Hospital of Joint Logistics Support Force of PLA, Kunming, Yunnan, 650100, PR China. Electronic address: 784503159@qq.com.
Yuan-Yuan WangDepartment of Pathology, 920th Hospital of Joint Logistics Support Force of PLA, Kunming, Yunnan, 650100, PR China. Electronic address: wyy131328@126.com.
Cheng-Gang YangDepartment of Pathology, Yunnan Cancer Hospital, Kunming, Yunnan, 650032, PR China. Electronic address: 2399853539@qq.com.
Hong BuDepartment of Pathology, West China Hospital, Sichuan University, Chengdu, 610041, PR China. Electronic address: hbpathology@126.com.
Wen-Tao YangDepartment of Pathology, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, 200032, PR China. Electronic address: yangwt2000@163.com.
Li WangDepartment of Pathology, 920th Hospital of Joint Logistics Support Force of PLA, Kunming, Yunnan, 650100, PR China. Electronic address: 2001wl@163.com.
Wen-Mang XuDepartment of Pathology, 920th Hospital of Joint Logistics Support Force of PLA, Kunming, Yunnan, 650100, PR China. Electronic address: highskysky@126.com.
Xi-Long ZhaoDepartment of Pathology, 920th Hospital of Joint Logistics Support Force of PLA, Kunming, Yunnan, 650100, PR China. Electronic address: zhaoxilong@aliyun.com.
Wen-Xing ZhaoDepartment of Pathology, 920th Hospital of Joint Logistics Support Force of PLA, Kunming, Yunnan, 650100, PR China. Electronic address: wenxingzhao@sohu.com.
Lei LiDepartment of Pathology, Yunnan Cancer Hospital, Kunming, Yunnan, 650032, PR China. Electronic address: 120.lilei@163.com.
Shu-Ling SongDepartment of Pathology, 920th Hospital of Joint Logistics Support Force of PLA, Kunming, Yunnan, 650100, PR China. Electronic address: 871819779@qq.com.
Ju-Lun YangDepartment of Pathology, 920th Hospital of Joint Logistics Support Force of PLA, Kunming, Yunnan, 650100, PR China. Electronic address: yangjulun@sina.com.
Fudan University Shanghai Cancer Center · CNSichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe proliferation marker Ki67 has prognostic and predictive values in breast cancer, and the cutoff of the Ki67 label index (LI) is a key index for chemotherapy. However, poor interobserver consistency in Ki67 assessment has limited the clinical use of Ki67, especially in luminal cancers. Here, we reported a modified Ki67 assessment method, size-set semiautomatic counting (SSSAC) and investigated its interobserver reproducibility.

methodsOne hundred invasive breast cancer tissues were set immunostained for Ki67 in one laboratory, scanned as digital slides, and sent to 41 pathologists at the laboratories of 16 hospitals for Ki67 LI assessment using size-set semiautomatic counting (SSSAC), size-set visual assessment (SSVA) and size-set digital image analysis (SSDIA) with a specific image viewing software (Aperio Image Scope, Leica, Germany). The intraclass correlation coefficient (ICC) and Bland-Altman plot were used to evaluate interobserver reproducibility. The Wilcoxon signed-rank test was used to analyze the difference in the Ki67 values assessed by SSSAC and SSDIA.

resultsSSSAC demonstrated better interobserver reproducibility (ICC = 0.942) than SSVA (ICC = 0.802). The interobserver reproducibility was better in Ki67 homogeneously stained slides and centralized hot-spot slides than in scattered hot-spot slides. The Ki67 value assessed with SSSAC was obviously higher than that assessed with SSDIA (negative ranks (SSDIA < SSSAC): N = 80, sum of ranks = 4274.50; positive ranks (SSDIA > SSSAC): N = 17, sum of ranks = 478.50; Z = -6.837; P < 0.001).

conclusionSSSAC shows satisfactory interobserver reproducibility in the Ki67 assessment of breast cancer and may be a candidate standard method for Ki67 LI assessment in breast cancer and other malignancies.

Indexed as

Breast NeoplasmsCarcinoma, Ductal, BreastFemaleHumansImage Interpretation, Computer-AssistedImmunohistochemistryKi-67 AntigenObserver VariationReproducibility of ResultsKi-67 AntigenMKI67 protein, humanAssessmentBreast cancerImmunochemistryKi67 label indexReproducibility

Identifiers

PMID31911370
PMCPMC7375572
OpenAlexW2995775803

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.