Evidence map›Paper›PMID 21174095›Full record

ArticleEuropean radiology2011

From multislice CT to whole-body biomarker imaging in lymphoma patients.

Cédric de Bazelaire, Eric de Kerviler

Open access · bronzeAbstract readEditorial
PubMed Publisher
In one paragraph

Article in European radiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 31% 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
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

2 authors at 1 institution in 1 country.

Cédric de BazelaireService de Radiologie, Hôpital Saint-Louis, APHP, 1 avenue Claude-Vellefaux, 75475, Paris cedex 10, France.
Eric de Kerviler
Université Paris Cité · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Until recently, only nuclear medicine techniques allowed combining whole-body anatomical and functional information. Now, diffusion-weighted imaging seeks to compete with these techniques in the field of oncology, providing assessment of tumour spread, characterizing lesions and evaluating therapeutic response. The first issue has been widely evaluated since the first published whole-body diffusion-weighted images looking like scintigraphy. Optimal background suppression and diffusion weighting highlighted tumours with restricted diffusion. For the two latter issues, ADC seems to represent the key element; it should allow differentiation between benign and malignant tissue, and active from inactive lesions after treatment. This is of paramount importance for the monitoring of lymphomas treated with chemotherapy alone, or for solid tumors treated by neoadjuvant therapies. However, imaging protocols still differ between studies, and there is considerable overlap in ADC values between healthy and neoplastic tissues. Despite this difficulty to identify a clinically reliable threshold for malignancy, there is no doubt that ADC will represent as a reliable biomarker in the future for some malignancies, and lymphomas represent a helpful model for this purpose.

Indexed as

BiomarkersHumansImage EnhancementLymphomaMagnetic Resonance ImagingTomography, X-Ray ComputedWhole Body ImagingBiomarkers

Identifiers

PMID21174095
OpenAlexW1999480974

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.