Evidence map›Paper›PMID 32706980›Full record

ArticleThe British journal of radiology2020

Multiparametric MRI with diffusion-weighted imaging in predicting response to chemotherapy in cases of osteosarcoma and Ewing's sarcoma.

Mahmoud Mohamed Saleh, Tamer Moustafa Abdelrahman, Youusef Madney, Ghada Mohamed, Ahmed Mohammed Shokry, Amr Farouk Moustafa

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in The British journal of radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 6% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

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  7. Artificial Intelligence Applications in Musculoskeletal Imaging.Current reviews in musculoskeletal medicine · 2025
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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

6 authors at 1 institution in 1 country.

Mahmoud Mohamed SalehDepartment of diagnostic and interventional radiology, National Cancer Institute, Cairo University, Cairo, Egypt.
Tamer Moustafa AbdelrahmanDepartment of diagnostic and interventional radiology, National Cancer Institute, Cairo University, Cairo, Egypt.
Youusef MadneyDepartment of pediatric oncology, National Cancer Institute, Cairo University, Cairo, Egypt.
Ghada MohamedDepartment of surgical pathology, National Cancer Institute, Cairo University, Cairo, Egypt.
Ahmed Mohammed ShokryDepartment of diagnostic and interventional radiology, National Cancer Institute, Cairo University, Cairo, Egypt.
Amr Farouk MoustafaDepartment of diagnostic and interventional radiology, National Cancer Institute, Cairo University, Cairo, Egypt.ORCID http://orcid.org/0000-0001-8835-8856
Cairo University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the multiparametric MRI in predicting chemotherapy response in pathologically proven cases of osteosarcoma and Ewing's sarcoma. Correlation between the tumor size changes and internal breakdown using RECIST 1.1, modified RECIST, quantitative apparent diffusion coefficient (ADC) and tumor volume as well as dynamic contrast-enhanced MRI (DCE-MRI).

methodsThe study included 104 patients pathologically proved osteosarcoma (53) and Ewing`s sarcoma (51) underwent MRI examinations; before and after chemotherapy. All patients were assessed using the RECIST 1.1 criteria, m-RECIST, quantitative ADC, and tumor volume evaluation. 21 patients underwent DCE-MRI curve type with quantitative parameters. Correlation between the different evaluations was carried out. Results were correlated with the post-operative pathology in 42 patients who underwent surgery and for statistical evaluation, Those patients were classified into responders (≥90% necrosis) and non-responders (<90% necrosis).

resultsThe initial mean ADC of 104 patients of osteosarcoma and Ewing's sarcoma (0.90 ± 0.29) and (0.71 ± 0.16) respectively, differed significantly from that after treatment (1.62 ± 0.46) and (1.6 ± 0.39) respectively with (

conclusionQuantitative diffusion-weighted imaging with ADC mapping and ADC % after chemotherapy allows a detailed analysis of the treatment response in osteosarcoma and Ewing's sarcoma. The therapeutic response can be underestimated using RECIST 1.1, so the modified RECIST should be also considered. ADVANCES IN KNOWLEDGE: Quantitative ADC especially ADC% provided an accurate non-invasive tool in the assessment of post-therapeutic cases of osteosarcoma and Ewing's sarcoma.

Indexed as

Diffusion Magnetic Resonance ImagingMultiparametric Magnetic Resonance ImagingAdolescentAdultArea Under CurveBone NeoplasmsChildChild, PreschoolContrast MediaDisease ProgressionFemaleHumansMaleMiddle AgedOsteosarcomaProspective StudiesContrast Media

Identifiers

PMID32706980
PMCPMC8519644
OpenAlexW3045376051

What OpenQuestion holds

Textmetadata
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.