Evidence map›Paper›PMID 34102009›Full record

ArticleCancer medicine2021

Magnetic resonance imaging patterns of tumor response to chemotherapy in desmoid-type fibromatosis.

Edoardo Zanchetta, Chiara Maura Ciniselli, Annalisa Bardelli, Chiara Colombo, Silvia Stacchiotti, Giacomo Giulio Baldi, Salvatore Provenzano, Rossella Bertulli, Federica Bini, Alessandra Casale and 8 more

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
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  4. Review
  5. 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

18 authors at 3 institutions in 2 countries.

Edoardo ZanchettaPostgraduation School in Radiodiagnostics, Università degli Studi di Milano, Milan, Italy.ORCID 0000-0003-2752-1247
Chiara Maura CiniselliUnit of Bioinformatics and Biostatistics, Department of Applied Research and Technological Development, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Annalisa BardelliUnit of Bioinformatics and Biostatistics, Department of Applied Research and Technological Development, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Chiara ColomboSarcoma Service, Department of Surgery, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Silvia StacchiottiSarcoma Service, Department of Surgery, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.ORCID 0000-0002-1742-8666
Giacomo Giulio BaldiMedical Oncology Unit 2, Medical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Salvatore ProvenzanoMedical Oncology Unit 2, Medical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Rossella BertulliMedical Oncology Unit 2, Medical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Federica BiniMedical Oncology Unit 2, Medical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.ORCID 0000-0001-6928-5356
Alessandra CasaleDiagnostic and Interventional Radiology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Francesca Gabriella GrecoDiagnostic and Interventional Radiology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Andrea FerrariOncological Pediatrics, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Paolo VerderioUnit of Bioinformatics and Biostatistics, Department of Applied Research and Technological Development, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Marco FioreSarcoma Service, Department of Surgery, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.ORCID 0000-0001-8220-424X
Alessandro GronchiUnit of Bioinformatics and Biostatistics, Department of Applied Research and Technological Development, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Paolo Giovanni CasaliMedical Oncology Unit 2, Medical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Carlo MorosiDiagnostic and Interventional Radiology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Elena PalassiniMedical Oncology Unit 2, Medical Oncology Department, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Fondazione IRCCS Istituto Nazionale dei Tumori · ITAOL (United States) · USUniversity of Milan · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe aimed to investigate changes in volume and MRI T2-weighted intensity in desmoid-type fibromatosis (DF) receiving methotrexate plus vinca-alkaloids (MTX-VA) at Istituto Nazionale dei Tumori, Milan.

methodsAll cases of sporadic DF treated with MTX-VA from 1999 to 2019 were reviewed. MRIs at baseline, 6 and 12 months of chemotherapy and at treatment withdrawal were retrospectively reviewed, contouring the tumor lesion and measuring diameters, volume, and mean T2-signal intensity (normalized to muscle) changes. These parameters were also evaluated according to clinical variables.

resultsThirty-two DF patients were identified. Best RECIST response was: 25% partial response, 69% stable disease, 6% progression. A ≥65% tumor volume reduction was observed in 38%, <65% reduction in 53%, an increase in 9%. 22% had RECIST stable disease with a ≥65% tumor volume reduction. T2-signal intensity decreased by ≥50% in 47%, <50% in 41% and increased in 12%. In patients with symptomatic improvement while on therapy and in patients maintaining symptomatic improvement during follow-up, median T2-signal intensity showed a reduction along the time points (3.0, 1.9, 1.2, 1.1; 2.9, 2.0, 1.2, 1.2, respectively); in patients without symptomatic improvement and in those clinically progressing during follow-up, a reduction was not observed. High T2-signal intensity at baseline was observed in patients showing RECIST progression during follow-up.

conclusionsIn this series, RECIST detected a lower proportion of responses as compared to volumetric and T2-signal changes. T2-signal reduction seemed to better reflect symptomatic improvement. High T2-signal intensity at baseline was related to a higher proportion of further progression.

Indexed as

AdolescentAdultAgedAntineoplastic Combined Chemotherapy ProtocolsDesmoid TumorsDisease ProgressionFemaleHumansMagnetic Resonance ImagingMaleMethotrexateMiddle AgedResponse Evaluation Criteria in Solid TumorsRetrospective StudiesTime FactorsTreatment OutcomeMethotrexateVinca Alkaloidsaggressive fibromatosismagnetic resonance imagingmethotrexatetumor responsevinca alkaloids

Identifiers

PMID34102009
PMCPMC8267164
OpenAlexW3171353528

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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.