Evidence map›Paper›PMID 37443673›Full record

ArticleDiagnostics (Basel, Switzerland)2023

Optimal Abdominal CT Image Quality in Non-Lean Patients: Customization of CM Injection Protocols and Low-Energy Acquisitions.

Francesco Macri, Elina Khasanova, Bonnie T Niu, Anushri Parakh, Manuel Patino, Avinash Kambadakone, Dushyant V Sahani

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Francesco MacriDepartment of Radiology, Geneva University Hospitals, University of Geneva, 1211 Geneva, Switzerland.ORCID 0000-0002-6672-3805
Elina KhasanovaDepartment of Radiology, Geneva University Hospitals, University of Geneva, 1211 Geneva, Switzerland.
Bonnie T NiuFaculty of Medicine, University of Ottawa, Ottawa, ON K1N 6N5, Canada.
Anushri ParakhDepartment of Radiology, Abdominal Division, Massachusetts General Hospital, Boston, MA 02114, USA.
Manuel PatinoDepartment of Radiology, Abdominal Division, Massachusetts General Hospital, Boston, MA 02114, USA.
Avinash KambadakoneDepartment of Radiology, Abdominal Division, Massachusetts General Hospital, Boston, MA 02114, USA.
Dushyant V SahaniDepartment of Radiology, University of Washington, Seattle, WA 98195, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We compared the image quality of abdominopelvic single-energy CT with 100 kVp (SECT-100 kVp) and dual-energy CT with 65 keV (DECT-65 keV) obtained with customized injection protocols to standard abdominopelvic CT scans (SECT-120 kVp) with fixed volumes of contrast media (CM). We retrospectively included 91 patients (mean age, 60.7 ± 15.8 years) with SECT-100 kVp and 83 (mean age, 60.3 ± 11.7 years) patients with DECT-65 keV in portovenous phase. Total body weight-based customized injection protocols were generated by a software using the following formula: patient weight (kg) × 0.40/contrast concentration (mgI/mL) × 1000. Patients had a prior abdominopelvic SECT-120 kVp with fixed injection. Iopamidol-370 was administered for all examinations. Quantitative and qualitative image quality comparisons were made between customized and fixed injection protocols. Compared to SECT-120 kVp, customized injection yielded a significant reduction in CM volume (mean difference = 9-12 mL;

Indexed as

computed tomographycontrast materialimage quality enhancementworkflow

Identifiers

PMID37443673
PMCPMC10377374

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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.