Evidence map›Paper›PMID 32313979›Full record

ReviewNeuroradiology2020

Radiological imaging in multiple myeloma: review of the state-of-the-art.

Francesca Di Giuliano, Eliseo Picchi, Massimo Muto, Antonello Calcagni, Valentina Ferrazzoli, Valerio Da Ros, Silvia Minosse, Agostino Chiaravalloti, Francesco Garaci, Roberto Floris and 1 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in Neuroradiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.1field-weighted citation impact, top 11% 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

9 citing papers in PubMed, 24 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

11 authors at 2 institutions in 1 country.

Francesca Di GiulianoNeuroradiology Unit, Department of Biomedicine and Prevention, University of Rome Tor Vergata, 00133, Rome, Italy.ORCID https://orcid.org/0000-0002-6067-183X
Eliseo PicchiDiagnostic Imaging Unit, Integrated Care Processes Department, Policlinico Tor Vergata, 00133, Rome, Italy. eliseo.picchi@hotmail.it.ORCID https://orcid.org/0000-0002-2524-9764
Massimo MutoDepartment of Neurosciences and Reproductive and Odontostomatological Sciences, University of Naples Federico II, 80100, Naples, Italy.ORCID https://orcid.org/0000-0003-3488-9269
Antonello CalcagniDiagnostic Imaging Unit, Integrated Care Processes Department, Policlinico Tor Vergata, 00133, Rome, Italy.ORCID https://orcid.org/0000-0002-8763-9899
Valentina FerrazzoliNeuroradiology Unit, Department of Biomedicine and Prevention, University of Rome Tor Vergata, 00133, Rome, Italy.ORCID https://orcid.org/0000-0001-8386-5963
Valerio Da RosDepartment of Biomedicine and Prevention, University of Rome Tor Vergata, 00133, Rome, Italy.ORCID https://orcid.org/0000-0001-7167-7594
Silvia MinosseDepartment of Biomedicine and Prevention, University of Rome Tor Vergata, 00133, Rome, Italy.ORCID https://orcid.org/0000-0002-9921-6287
Agostino ChiaravallotiDepartment of Biomedicine and Prevention, University of Rome Tor Vergata, 00133, Rome, Italy.ORCID https://orcid.org/0000-0002-8017-8858
Francesco GaraciNeuroradiology Unit, Department of Biomedicine and Prevention, University of Rome Tor Vergata, 00133, Rome, Italy.ORCID https://orcid.org/0000-0003-1499-5718
Roberto FlorisDiagnostic Imaging Unit, Integrated Care Processes Department, Policlinico Tor Vergata, 00133, Rome, Italy.ORCID https://orcid.org/0000-0002-6098-2232
Mario MutoDepartment of Neuroradiology, A.O.R.N. Cardarelli, 80100, Naples, Italy.ORCID https://orcid.org/0000-0001-9724-7891
University of Rome Tor Vergata · ITOspedale Antonio Cardarelli · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeMultiple myeloma is a type of blood cancer arising from the uncontrolled clonal proliferation of malignant plasma cells resulting in impaired hematopoiesis, hyper production of monoclonal protein, bone tissue destruction leading and renal system alterations up to kidney failure. The aim is to review the state-of-the-art of radiological imaging in multiple myeloma.

methodsRadiological techniques as well as the advancements in imaging technology have been reviewed and summarized. The main radiological findings of different imaging techniques in patients suffering from multiple myeloma are also illustrated.

resultsDifferent radiological techniques provide structural and functional data. In the last years, conventional skeletal survey has gradually lost its utility and it has been replaced by whole body low-dose computed tomography which allows to identify also small lytic lesions, the medullary and the extramedullary involvement. Nowadays, magnetic resonance is the most sensitive imaging technique for detecting of skeletal as well as medullary involvement in patients with multiple myeloma. Thanks to the multiparametric evaluation (morphological, diffusion weighted and perfusion imaging sequences) and to the quantitative analysis, magnetic resonance imaging is proved to be useful in the early evaluation of response to therapy. Finally, positron emission tomography has greater sensibility compared to computed tomography as it provides quantitative data; however, the lower expression levels of the specific gene involved in the glycolysis pathway are associated with false-negative results with consequent underestimation of the disease.

conclusionThe only use of the advanced combined multimodal imaging allows a better evaluation, staging and early assessment of treatment response in patients with multiple myeloma.

Indexed as

Multimodal ImagingNeuroimagingHumansMultiple MyelomaWhole Body ImagingCTInterventional radiologyMRIMultiple myelomaPET

Identifiers

PMID32313979
OpenAlexW3016628097

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.