Evidence map›Paper›PMID 20159664›Full record

ReviewCancer imaging : the official publication of the International Cancer Imaging Society2010

CT perfusion in oncology: how to do it.

G Petralia, L Bonello, S Viotti, L Preda, G d'Andrea, M Bellomi

Open access · bronzeAbstract readReview
In one paragraph

Review in Cancer imaging : the official publication of the International Cancer Imaging Society, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
6.0field-weighted citation impact, top 4% 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

38 citing papers in PubMed, 1 synthesis or guideline pooled it, 105 citations in OpenAlex.

  1. Pooled it
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  7. Article
  8. Current trends in the characterization and monitoring of vascular response to cancer therapy.Cancer imaging : the official publication of the International Cancer Imaging Society · 2024
    Review
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  19. Review
  20. Correlation between CT perfusion and clinico-pathological features in prostate cancer: a prospective study.Medical science monitor : international medical journal of experimental and clinical research · 2015
    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

6 authors at 2 institutions in 1 country.

G PetraliaDiagnostic Radiology, European Institute of Oncology, Via Ripamonte 435, 20141 Milan, Italy.
L Bonello
S Viotti
L Preda
G d'Andrea
M Bellomi
European Institute of Oncology · ITRipamonti · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Robust technique and accurate data analysis are required for reliable computed tomography perfusion (CTp) imaging. Multislice CT is required for high temporal resolution scanning; 16-slice (or 64-slice) scanners are preferred for adequate volume coverage. After tumour localization, the volume of CTp imaging has to be positioned to include the maximum visible area of the tumour and an adequate arterial vessel. Dynamic scans at high temporal resolution (at least 1-s gantry rotation time) are performed to visualize the first pass of contrast agent within the tumour; repeated scans with low temporal resolution can be planned for late enhancement assessment. A short bolus of conventional iodinated contrast agent, preferably with high iodine concentration, is power injected at a high flow rate (>4 ml/s) in the antecubital vein. The breath-hold technique is required for CTp imaging of the chest and upper abdomen to avoid respiratory motion; free breathing is adequate for CTp imaging of the head, neck and pelvis. Using dedicated software, a region of interest (ROI) has to be placed in an adequate artery (as arterial input) to obtain density-time curves; according to different kinetic models, colour maps of different CTp parameters are generated and generally overlaid on CT images. Additional ROIs can be positioned in the tumour, and in all other parts of the CTp volume, to obtain the values of the CTp parameters within the ROI.

Indexed as

Drug MonitoringHumansImage Processing, Computer-AssistedKineticsModels, TheoreticalNeoplasmsNeoplasm StagingPerfusion Imaging

Identifiers

PMID20159664
PMCPMC2842179
OpenAlexW1981953566

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.