Evidence map›Paper›PMID 29861868›Full record

ArticleOncotarget2018

Volumetry based biomarker speed of growth: Quantifying the change of total tumor volume in whole-body magnetic resonance imaging over time improves risk stratification of smoldering multiple myeloma patients.

Markus Wennmann, Laurent Kintzelé, Marie Piraud, Bjoern H Menze, Thomas Hielscher, Johannes Hofmanninger, Barbara Wagner, Hans-Ulrich Kauczor, Maximilian Merz, Jens Hillengass and 2 more

Abstract read
In one paragraph

Article in Oncotarget, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
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

12 citing papers in PubMed.

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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

12 authors.

Markus Wennmann *Diagnostic and Interventional Radiology, University Hospital Heidelberg, Heidelberg, Germany.
Laurent Kintzelé *Diagnostic and Interventional Radiology, University Hospital Heidelberg, Heidelberg, Germany.
Marie PiraudDepartment of Computer Science, Technical University of Munich, Munich, Germany.
Bjoern H MenzeDepartment of Computer Science, Technical University of Munich, Munich, Germany.
Thomas HielscherDivision of Biostatistics, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Johannes HofmanningerDepartment of Biomedical Imaging and Image-Guided Therapy, Computational Imaging Research Laboratory, Medical University of Vienna, Vienna, Austria.
Barbara WagnerDepartment of Medicine V, Multiple Myeloma Section, University of Heidelberg, Heidelberg, Germany.
Hans-Ulrich KauczorDiagnostic and Interventional Radiology, University Hospital Heidelberg, Heidelberg, Germany.
Maximilian MerzDepartment of Medicine V, Multiple Myeloma Section, University of Heidelberg, Heidelberg, Germany.
Jens HillengassDepartment of Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA.
Georg LangsDepartment of Biomedical Imaging and Image-Guided Therapy, Computational Imaging Research Laboratory, Medical University of Vienna, Vienna, Austria.
Marc-André WeberInstitute of Diagnostic and Interventional Radiology, University Medical Center Rostock, Rostock, Germany.

Funding

Austrian Science Fund FWF I 2714
6 · The paper itself

Abstract

The purpose of this study was to improve risk stratification of smoldering multiple myeloma patients, introducing new 3D-volumetry based imaging biomarkers derived from whole-body MRI. Two-hundred twenty whole-body MRIs from 63 patients with smoldering multiple myeloma were retrospectively analyzed and all focal lesions >5mm were manually segmented for volume quantification. The imaging biomarkers total tumor volume, speed of growth (development of the total tumor volume over time), number of focal lesions, development of the number of focal lesions over time and the recent imaging biomarker '>1 focal lesion' of the International Myeloma Working Group were compared, taking 2-year progression rate, sensitivity and false positive rate into account. Speed of growth, using a cutoff of 114mm

Indexed as

biomarkerrisk stratificationsmoldering multiple myelomaspeed of growthvolumetry

Identifiers

PMID29861868
PMCPMC5982766

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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.