Evidence map›Paper›PMID 33134165›Full record

ArticleFrontiers in oncology2020

Evaluating the Treatment Efficacy of Nano-Drug in a Lung Cancer Model Using Advanced Functional Magnetic Resonance Imaging.

Cuiqing Huang, Jianye Liang, Mengjie Ma, Qingqing Cheng, Xi Xu, Dong Zhang, Changzheng Shi, Ning Shang, Zeyu Xiao, Liangping Luo

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2020. 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
0.8field-weighted citation impact, top 24% 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, 16 citations in OpenAlex.

  1. Review
  2. Diagnostic efficiency of intravoxel incoherent motion-based virtual magnetic resonance elastography in pulmonary neoplasms.Cancer imaging : the official publication of the International Cancer Imaging Society · 2024
    Article
  3. Histogram analysis of multiple diffusion models for predicting advanced non-small cell lung cancer response to chemoimmunotherapy.Cancer imaging : the official publication of the International Cancer Imaging Society · 2024
    Article
  4. Review
  5. Review
  6. Article
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 at 3 institutions in 1 country.

Cuiqing HuangMedical Imaging Center, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Jianye LiangDepartment of Medical Imaging, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China.
Mengjie MaMedical Imaging Center, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Qingqing ChengMedical Imaging Center, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Xi XuMedical Imaging Center, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Dong ZhangMedical Imaging Center, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Changzheng ShiMedical Imaging Center, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Ning ShangUltrasound Department, Guangdong Province Women and Children's Hospital, Guangzhou, China.
Zeyu XiaoMedical Imaging Center, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Liangping LuoMedical Imaging Center, The First Affiliated Hospital of Jinan University, Guangzhou, China.
First Affiliated Hospital of Jinan University · CNGuangdong Province Women and Children Hospital · CNSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesNano-drug delivery system is an interesting field in precise cancer treatment, but few study has reported the microenvironmental changes after such treatment. This study aimed to detect the hemodynamic and microenvironmental changes in a lung cancer xenograft model after treated with doxorubicin (DOX) encapsulated by a cyclic arginine-glycine-aspartic acid polypeptide modified poly-(lactic-co-glycolic acid) nanosystem (cRGD-PLGA@DOX) using functional magnetic resonance imaging. MATERIALS AND

methodsThirty-two tumor-bearing mice were randomly divided into four groups. Group A was treated with 0.9% saline, Group B with 4 mg/kg of doxorubicin, Group C with 2 mg/kg of cRGD-PLGA@DOX, and Group D with 4 mg/kg of cRGD-PLGA@DOX. Intravoxel incoherent motion diffusion-weighed imaging (IVIM-DWI) and R2

resultsThe reconstructed cRGD-PLGA@DOX was homogeneous, well-dispersed, and spherical in shape, with an average size of 180 nm. Group D demonstrated the smallest tumor volume and highest tumor inhibition rate in 3 weeks. D value of Group B, C, and D manifested an upward trend in 3 weeks with the highest increase in Group D. D

conclusionThe nano-drug demonstrated an enhanced anti-tumor effect without the need of increased chemotherapeutic dosage. The tumor microenvironment such as cellular and perfusion changes during treatment can be non-invasively detected by two functional MRI including IVIM-DWI and R2

Indexed as

diffusion-weighed imagingintravoxel incoherent motionlung cancernanomedicineR2∗ mappingtumor microenvironment

Identifiers

PMID33134165
PMCPMC7550655
OpenAlexW3091734925

What OpenQuestion holds

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LicenceCC BY
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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.