Evidence map›Paper›PMID 30820774›Full record

ArticleLasers in medical science2019

Label-free detection of residual breast cancer after neoadjuvant chemotherapy using biomedical multiphoton microscopy.

Zhonghua Han, Lianhuang Li, Deyong Kang, Zhenlin Zhan, Haohua Tu, Chuan Wang, Jianxin Chen

Abstract read
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In one paragraph

Article in Lasers in medical science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.3field-weighted citation impact, top 15% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
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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

7 authors at 3 institutions in 2 countries.

Zhonghua HanDepartment of Breast Surgery, Fujian Medical University Union Hospital, Fuzhou, 350001, People's Republic of China.
Lianhuang LiKey Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou, 350007, People's Republic of China. lhli@fjnu.edu.cn.
Deyong KangDepartment of Pathology, Fujian Medical University Union Hospital, Fuzhou, 350001, People's Republic of China.
Zhenlin ZhanKey Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou, 350007, People's Republic of China.
Haohua TuBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.
Chuan WangDepartment of Breast Surgery, Fujian Medical University Union Hospital, Fuzhou, 350001, People's Republic of China.
Jianxin ChenKey Laboratory of OptoElectronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou, 350007, People's Republic of China.
Fujian Normal University · CNUnion Hospital · CNUniversity of Illinois Urbana-Champaign · US

Funding

Joint Funds of Fujian Provincial Health and Education Research WKJ2016-2-28National Natural Science Foundation of China 81671730Natural Science Foundation of Fujian Province 2018J01301Program for Changjiang Scholars and Innovative Research Team in University IRT_15R10Special Funds of the Central Government Guiding Local Science and Technology Development 2017L3009
6 · The paper itself

Abstract

Neoadjuvant chemotherapy has become a standard treatment for breast cancer as it has been shown to increase the rate of breast preservation and to improve outcome in patients. However, how to accurately detect residual tumors is still a challenge. In this work, we tried to use multiphoton imaging to look for residual breast tumors after preoperative therapy. Imaging results demonstrate that multiphoton microscopy can identify remaining tumor tissues and can even detect rarely residual tumor cells, which would be helpful for surgeons to accurately assess the surgical margin in real time to confirm negative margins during operation. We also performed a quantification analysis of the nuclear area of tumor cells before and after treatment with neoadjuvant chemotherapy. The measurement data show that the tumor cell nuclei after chemotherapy are significantly larger than those without treatment, and there is a statistically significant difference in the nuclear areas between the pre-treatment and post-treatment mammary carcinoma. Our pilot study indicates the potential utility of multiphoton imaging for detecting residual breast carcinoma tissues in fresh, ex vivo specimens without the use of exogenous contrast agents. We foresee real-time intraoperative applications of multiphoton microscopy in evaluating therapy response, and thereby helping clinicians develop individualized treatment plans.

Indexed as

Microscopy, Fluorescence, MultiphotonNeoadjuvant TherapyAdultAgedBreastBreast NeoplasmsCell NucleusFemaleHumansMiddle AgedNeoplasm, ResidualNeoplasm StagingStaining and LabelingBreast cancerMultiphoton microscopyNeoadjuvant chemotherapy

Identifiers

PMID30820774
OpenAlexW2919274823

What OpenQuestion holds

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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.