Evidence map›Paper›PMID 36721672›Full record

ReviewWorld journal of radiology2023

Advancements of molecular imaging and radiomics in pancreatic carcinoma.

Xiao-Xi Pang, Liang Xie, Wen-Jun Yao, Xiu-Xia Liu, Bo Pan, Ni Chen

Open access · diamondAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in World journal of radiology, 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
0.7field-weighted citation impact, top 25% 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, 3 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

6 authors at 2 institutions in 1 country.

Xiao-Xi PangDepartment of Nuclear Medicine, The Second Hospital of Anhui Medical University, Hefei 230601, Anhui Province, China.
Liang XieDepartment of Nuclear Medicine, The Second Hospital of Anhui Medical University, Hefei 230601, Anhui Province, China.
Wen-Jun YaoDepartment of Radiology, The Second affiliated hospital of Anhui Medical University, Hefei 230601, Anhui Province, China.
Xiu-Xia LiuDepartment of Nuclear Medicine, The Second Hospital of Anhui Medical University, Hefei 230601, Anhui Province, China.
Bo PanPET/CT Center, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230001, Anhui Province, China.
Ni ChenDepartment of Nuclear Medicine, School of Basic Medicine Anhui Medical University, Hefei 230032, Anhui Province, China. icefei@mail.ustc.edu.cn.
Anhui Medical University · CNUniversity of Science and Technology of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the recent progress of medical technology in the diagnosis and treatment of tumors, pancreatic carcinoma remains one of the most malignant tumors, with extremely poor prognosis partly due to the difficulty in early and accurate imaging evaluation. This paper focuses on the research progress of magnetic resonance imaging, nuclear medicine molecular imaging and radiomics in the diagnosis of pancreatic carcinoma. We also briefly described the achievements of our team in this field, to facilitate future research and explore new technologies to optimize diagnosis of pancreatic carcinoma.

Indexed as

Artificial intelligenceMagnetic resonance imagingMolecular imagingPancreatic carcinomaPositron emission tomography-computed tomographyPositron emission tomography-magnetic resonance

Identifiers

PMID36721672
PMCPMC9884334
OpenAlexW4316652567

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.