Evidence map›Paper›PMID 33146792›Full record

ArticleEuropean radiology2021

Prognostic value of tumoral and peritumoral magnetic resonance parameters in osteosarcoma patients for monitoring chemotherapy response.

Yuewen Hao, Rui An, Yingsen Xue, Fan Li, Hong Wang, Jianmin Zheng, Linni Fan, Jixin Liu, Hongbin Fan, Hong Yin

Open access · hybridAbstract read
In one paragraph

Article in European radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.7field-weighted citation impact, top 8% 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

22 citing papers in PubMed, 36 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

10 authors at 5 institutions in 1 country.

Yuewen Hao *Department of Radiology, Xi'an Children's Hospital, Xi'an, Shaanxi, China.
Rui An *Department of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China.
Yingsen Xue *Department of Orthopaedic Surgery, Northwest Women's and Children's Hospital, Xi'an, Shaanxi, China.
Fan LiDepartment of Health Statistics, Fourth Military Medical University, Xi'an, Shaanxi, China.
Hong WangDepartment of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China.
Jianmin ZhengDepartment of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China.
Linni FanDepartment of Pathology, Fourth Military Medical University, Xi'an, Shaanxi, China.
Jixin LiuSchool of Life Science and Technology, Xidian University, Xi'an, Shaanxi, China.
Hongbin FanDepartment of Orthopaedic Surgery, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China. fanhb@fmmu.edu.cn.
Hong YinDepartment of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China. yinhong@fmmu.edu.cn.ORCID http://orcid.org/0000-0002-5215-1455
Xijing Hospital · CNAir Force Medical University · CNNorthwest Women's and Children's Hospital · CNXi’an Children’s Hospital · CNXidian University · CN

Funding

Basic Research Program of Natural Science in Shaanxi Province-General Projects 2019JM-264the National Natural Science Foundation of China 81501434
6 · The paper itself

Abstract

objectivesTo evaluate parameters of diffusion-weighted imaging (DWI) and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) as early imaging indicators of tumor histologic response to pre-operative neoadjuvant chemotherapy and as probable prognostic factors for event-free survival (EFS) and overall survival in osteosarcoma (OS) in both tumoral and peritumoral areas.

methodsThirty-four OS patients who received three courses of neoadjuvant chemotherapy followed by surgery during 2014-2018 were enrolled in this study. All patients underwent baseline and post-chemotherapy DWI and DCE-MRI. Lesion region was defined as the tumoral area and peritumoral area. Parameters of apparent diffusion coefficient, capacity transfer constant (Ktrans), elimination rate constant, extravascular extracellular space volume ratio (Ve), and initial area under the curve as well as corresponding differences between pre- and post-chemotherapy in lesion regions were evaluated. Receiver operating characteristic analysis was used to evaluate the diagnostic performance of these parameters. The associations of all parameters with tumor histologic response, EFS, and overall survival were also calculated.

resultsIn the tumor area, moderate evidence was found that post-Ktrans was lower in responders as compared with that in poor responders (p = 0.04, false discovery rate [FDR] corrected), and ΔKtrans exhibited significant between-groups differences (p = 0.04, Bonferroni corrected; or p = 0.006, FDR corrected). Weak evidence for the between-groups difference was found in the Ve in the peritumoral area (p = 0.025 before treatment and p = 0.021 after treatment, uncorrected). Furthermore, lower post-Ktrans in the tumoral area and lower pre-Ve in the peritumoral area were significant prognostic indicators for longer EFS (p = 0.002, p = 0.026) and overall survival (p = 0.003, p = 0.023).

conclusionsIn OS, DWI and DCE-MRI parameters in both tumoral and peritumoral areas can reflect the chemotherapy response and prognosticate EFS and overall survival. KEY POINTS: • Peritumoral MRI parameters can reflect the chemotherapy response in OS patients. • Peritumoral MRI parameters can predict EFS and overall survival in OS patients. • MRI parameters may be predictive factors for evaluating chemotherapy efficacy and EFS.

Indexed as

Bone NeoplasmsOsteosarcomaContrast MediaDiffusion Magnetic Resonance ImagingHumansMagnetic Resonance ImagingMagnetic Resonance SpectroscopyPrognosisContrast MediaChemotherapyMagnetic resonance imagingOsteosarcoma

Identifiers

PMID33146792
PMCPMC8043923
OpenAlexW3095301789

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.