Evidence map›Paper›PMID 31741590›Full record

ArticleThe Indian journal of radiology & imaging

Imaging protocols for CT chest: A recommendation.

Ashu Seith Bhalla, Abanti Das, Priyanka Naranje, Aparna Irodi, Vimal Raj, Ankur Goyal

Abstract read
In one paragraph

Article in The Indian journal of radiology & imaging. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Imaging Findings of Thoracic Extranodal Lymphoma: A Pictorial Essay.Journal of the Korean Society of Radiology · 2025
    Review
  6. Article
  7. Contrast-Enhanced Chest Computed Tomography forDiagnostics (Basel, Switzerland) · 2025
    Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Observational
  18. Article
  19. Review
  20. 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.

Ashu Seith BhallaDepartment of Radiodiagnosis, All India Institute of Medical Sciences, Vellore, Tamil Nadu, India.
Abanti DasDepartment of Radiodiagnosis, Safdarjung Hospital and Vardhaman Mahavir Medical College, Vellore, Tamil Nadu, India.
Priyanka NaranjeDepartment of Radiodiagnosis, All India Institute of Medical Sciences, Vellore, Tamil Nadu, India.
Aparna IrodiDepartment of Radiology, Christian Medical College and Hospital, Vellore, Tamil Nadu, India.
Vimal RajDepartment of Radiology, Narayana Institute of Cardiac Sciences, 258A, Hosur Rd, Bommasandra Industrial Area, Bengaluru, Karnataka, India.
Ankur GoyalDepartment of Radiodiagnosis, All India Institute of Medical Sciences, Vellore, Tamil Nadu, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Computed Tomography (CT) is the mainstay of diagnostic imaging evaluation of thoracic disorders. However, there are a number of CT protocols ranging from a simple non-contrast CT at one end of the spectrum, and CT perfusion as a complex protocol available only on high-end scanners. With the growing diversity, there is a pressing need for radiologists, and clinicians to have a basic understanding of the recommended CT examinations for individual indications. This brief review aims to summarise the currently prevalent CT examination protocols, including their recommended indications, as well as technical specifications for performing them.

Indexed as

Computed tomography angiographycomputed tomography chestcomputed tomography contrastdual energy computed tomographylow-dose computed tomographyprotocolpulmonary embolism

Identifiers

PMID31741590
PMCPMC6857267

What OpenQuestion holds

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Registered trials

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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.