Evidence map›Paper›PMID 35484579›Full record

ArticleDiagnostic pathology2022

Reconstructing virtual large slides can improve the accuracy and consistency of tumor bed evaluation for breast cancer after neoadjuvant therapy.

Dandan Han, Jun Liao, Meng Zhang, Chenchen Qin, Mengxue Han, Chun Wu, Jinze Li, Jianhua Yao, Yueping Liu

Abstract read
In one paragraph

Article in Diagnostic pathology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Dandan Han *Department of Pathology, The Fourth Hospital of Hebei Medical University, No. 12 Jiankang Road, Shijiazhuang, 050011, Hebei, China.
Jun Liao *AI Lab, Tencent, Tencent Binhai Building, No. 33, Haitian Second Road, Nanshan District, Shenzhen, 518054, Guangdong, China.
Meng ZhangDepartment of Pathology, The Fourth Hospital of Hebei Medical University, No. 12 Jiankang Road, Shijiazhuang, 050011, Hebei, China.
Chenchen QinAI Lab, Tencent, Tencent Binhai Building, No. 33, Haitian Second Road, Nanshan District, Shenzhen, 518054, Guangdong, China.
Mengxue HanDepartment of Pathology, The Fourth Hospital of Hebei Medical University, No. 12 Jiankang Road, Shijiazhuang, 050011, Hebei, China.
Chun WuDepartment of Pathology, The Fourth Hospital of Hebei Medical University, No. 12 Jiankang Road, Shijiazhuang, 050011, Hebei, China.
Jinze LiDepartment of Pathology, The Fourth Hospital of Hebei Medical University, No. 12 Jiankang Road, Shijiazhuang, 050011, Hebei, China.
Jianhua YaoAI Lab, Tencent, Tencent Binhai Building, No. 33, Haitian Second Road, Nanshan District, Shenzhen, 518054, Guangdong, China. jianhuayao@tencent.com.
Yueping LiuDepartment of Pathology, The Fourth Hospital of Hebei Medical University, No. 12 Jiankang Road, Shijiazhuang, 050011, Hebei, China. annama@163.com.ORCID http://orcid.org/0000-0002-4582-114X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo explore whether the "WSI Stitcher", a program we developed for reconstructing virtual large slide through whole slide imaging fragments stitching, can improve the efficiency and consistency of pathologists in evaluating the tumor bed after neoadjuvant treatment of breast cancer compared with the conventional methods through stack splicing of physical slides.

methodsThis study analyzed the advantages of using software-assisted methods to evaluate the tumor bed after neoadjuvant treatment of breast cancer. This new method is to use "WSI Stitcher" to stitch all the WSI fragments together to reconstruct a virtual large slide and evaluate the tumor bed with the help of the built-in ruler and tumor proportion calculation functions.

resultsCompared with the conventional method, the evaluation time of the software-assisted method was shortened by 35%(P < 0.001). In the process of tumor bed assessment after neoadjuvant treatment of breast cancer, the software-assisted method has higher intraclass correlation coefficient when measuring the length (0.994 versus 0.934), width (0.992 versus 0.927), percentage of residual tumor cells (0.947 versus 0.878), percentage of carcinoma in situ (0.983 versus 0.881) and RCB index(0.997 versus 0.772). The software-assisted method has higher kappa values when evaluating tumor staging(0.901 versus 0.687) and RCB grading (0.963 versus 0.857).

conclusionThe "WSI Stitcher" is an effective tool to help pathologists with the assessment of breast cancer after neoadjuvant treatment.

Indexed as

Breast NeoplasmsNeoadjuvant TherapyFemaleHumansBreast cancerEfficiency and consistencyReconstructing virtual large slideWSI Stitcher

Identifiers

PMID35484579
PMCPMC9047297

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