Evidence map›Paper›PMID 38111769›Full record

ReviewWorld journal of gastrointestinal surgery2023

Recent advances in computerized imaging and its vital roles in liver disease diagnosis, preoperative planning, and interventional liver surgery: A review.

Paramate Horkaew, Jirapa Chansangrat, Nattawut Keeratibharat, Doan Cong Le

Open access · diamondAbstract readReview
In one paragraph

Review in World journal of gastrointestinal surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. 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

4 authors at 1 institution in 1 country.

Paramate HorkaewSchool of Computer Engineering, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand. phorkaew@sut.ac.th.
Jirapa ChansangratSchool of Radiology, Institute of Medicine, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand.
Nattawut KeeratibharatSchool of Surgery, Institute of Medicine, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand.
Doan Cong LeFaculty of Information Technology, An Giang University, Vietnam National University (Ho Chi Minh City), An Giang 90000, Vietnam.
Suranaree University of Technology · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The earliest and most accurate detection of the pathological manifestations of hepatic diseases ensures effective treatments and thus positive prognostic outcomes. In clinical settings, screening and determining the extent of a pathology are prominent factors in preparing remedial agents and administering appropriate therapeutic procedures. Moreover, in a patient undergoing liver resection, a realistic preoperative simulation of the subject-specific anatomy and physiology also plays a vital part in conducting initial assessments, making surgical decisions during the procedure, and anticipating postoperative results. Conventionally, various medical imaging modalities,

Indexed as

Artificial intelligenceComputer aided diagnosisLiver surgeryMedical image analysisPattern recognitionSurgical simulation

Identifiers

PMID38111769
PMCPMC10725533
OpenAlexW4389010894

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.