ReviewDer Radiologe2018
[Noninvasive phenotyping of renal tumors-current state of the art].
Review in Der Radiologe, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed, 2 citations in OpenAlex.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDue to often overlapping imaging features, solid renal tumors pose a diagnostic challenge. In addition, personalized therapies require exact tumor subtyping. To reduce complications, this should ideally be performed noninvasively.
aimsThe aim of this work was to provide an overview on the current state of the art and new developments in the field of noninvasive radiological phenotyping of the most common types of adult renal tumors.
resultsMultimodal and multiparametric imaging already enables an exact, noninvasive differentiation between many types of benign and malignant renal tumors. Concerning problematic cases, as well as for a more detailed characterization of renal tumors (tumor grade, genetic factors), promising new techniques, or techniques that have not previously been used for this purpose, such as texture analysis, computer-based "deep feature classifications", iodine quantification or MR spectroscopy, are being investigated.
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Registered trials
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