Evidence map›Paper›PMID 36304774›Full record

ArticleContrast media & molecular imaging2022

Lymph Node Metastases Detection Using Gd

Z Rasouli, N Riyahi-Alam, M Khoobi, S Haghgoo, E Gholibegloo, A Ebrahimpour, Ashouri H, H Hashemi

Open access · hybridAbstract read
In one paragraph

Article in Contrast media & molecular imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
  5. 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 at 5 institutions in 4 countries.

Z RasouliMedical Physics & Biomedical Engineering Department, School of Medicine, Tehran University of Medical Sciences (TUMS), Tehran, Iran.
N Riyahi-AlamMedical Physics & Biomedical Engineering Department, School of Medicine, Tehran University of Medical Sciences (TUMS), Tehran, Iran.ORCID 0000-0001-9260-4001
M KhoobiBiomaterials Group, The Institute of Pharmaceutical Sciences (TIPS), Tehran University of Medical Sciences, Tehran, Iran.
S HaghgooPharmaceutical Department, Food and Drug Laboratory Research Center, Ministry of Health, Tehran, Iran.
E GholibeglooDepartment of Radiopharmacy, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran.
A EbrahimpourMedical Physics & Biomedical Engineering Department, School of Medicine, Tehran University of Medical Sciences (TUMS), Tehran, Iran.
Ashouri HMedical Physics & Biomedical Engineering Department, School of Medicine, Tehran University of Medical Sciences (TUMS), Tehran, Iran.
H HashemiMedical Imaging Center of Imam Complex Hospital, Tehran University of Medical Sciences (TUMS), Tehran, Iran.
Tehran University of Medical Sciences · IRConcordia University · USImaging Center · USJahrom University of Medical Sciences · IRMinistry of Health and Medical Education · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Axillary lymph node detection is crucial to staging and prognosis of the lymph node metastatic spread in breast cancer. Currently, lymphoscintigraphy and blue dye, as the conventional methods to localize sentinel lymph nodes (SLNs), are invasive and can only be performed during surgery. This study has had a novel hybrid gadolinium oxide nanoparticle coating with Cyclodextrin-based polyester as a high-relaxivity T

Indexed as

Contrast MediaMagnetic Resonance ImagingAnimalsFemaleLymphatic MetastasisLymph NodesMagnetic Resonance SpectroscopyMeglumineMiceMolecular ImagingOrganometallic CompoundsContrast Mediagadoterate meglumineMeglumineOrganometallic Compounds

Identifiers

PMID36304774
PMCPMC9581618
OpenAlexW4304806935

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.