Evidence map›Paper›PMID 27785936›Full record

ReviewThe British journal of radiology2017

MDCT imaging of the stomach: advances and applications.

Prashant Nagpal, Anjali Prakash, Gaurav Pradhan, Aditi Vidholia, Nishant Nagpal, Sachin S Saboo, David M Kuehn, Ashish Khandelwal

Abstract readReview
In one paragraph

Review in The British journal of radiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Review
  3. Article
  4. Article
  5. Article
  6. Advancements in non-invasive diagnosis of gastric cancer.World journal of gastroenterology · 2025
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. 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

8 authors.

Prashant Nagpal1 Department of Radiology, University of Iowa Hospitals and Clinics, Iowa City, IA, USA.
Anjali Prakash2 Department of Radiodiagnosis, Lok Nayak Jai Prakash Hospital, Maulana Azad Medical College, Delhi, India.
Gaurav Pradhan2 Department of Radiodiagnosis, Lok Nayak Jai Prakash Hospital, Maulana Azad Medical College, Delhi, India.
Aditi Vidholia3 Department of Pathology, University of Iowa Hospitals and Clinics, Iowa City, IA, USA.
Nishant Nagpal4 Department of Gastroenterology, Fortis Flt. Lt. Rajan Dhall Hospital, Delhi, India.
Sachin S Saboo5 Department of Radiology, Cardiothoracic Imaging, UT Southwestern Medical Center, Dallas, TX, USA.
David M Kuehn1 Department of Radiology, University of Iowa Hospitals and Clinics, Iowa City, IA, USA.
Ashish Khandelwal6 Department of Radiology, Mayo Clinic, Rochester, MN, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The stomach may be involved by a myriad of pathologies ranging from benign aetiologies like inflammation to malignant aetiologies like carcinoma or lymphoma. Multidetector CT (MDCT) of the stomach is the first-line imaging for patients with suspected gastric pathologies. Conventionally, CT imaging had the advantage of simultaneous detection of the mural and extramural disease extent, but advances in MDCT have allowed mucosal assessment by virtual endoscopy (VE). Also, better three-dimensional (3D) post-processing techniques have enabled more robust and accurate pre-operative planning in patients undergoing gastrectomy and even predict the response to surgery for patients undergoing laparoscopic sleeve gastrectomy for weight loss. The ability of CT to obtain stomach volume (for bariatric surgery patients) and 3D VE images depends on various patient and protocol factors that are important for a radiologist to understand. We review the appropriate CT imaging protocol in the patients with suspected gastric pathologies and highlight the imaging pearls of various gastric pathologies on CT and VE.

Indexed as

User-Computer InterfaceAdultAgedDiagnosis, DifferentialFemaleGastritisHumansImage Processing, Computer-AssistedLipomaLymphomaMaleMiddle AgedMultidetector Computed TomographyNeoplasm InvasivenessNeoplasm StagingSensitivity and Specificity

Identifiers

PMID27785936
PMCPMC5605014

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.