Evidence map›Paper›PMID 34880718›Full record

ArticleDose-response : a publication of International Hormesis Society

Rhinoplasty Pre-Surgery Models by Using Low-Dose Computed Tomography, Magnetic Resonance Imaging, and 3D Printing.

Dario Baldi, Luca Basso, Gisella Nele, Giovanni Federico, Giuseppe Walter Antonucci, Marco Salvatore, Carlo Cavaliere

Open access · goldAbstract read
In one paragraph

Article in Dose-response : a publication of International Hormesis Society. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Trial
  2. Article
  3. 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

7 authors at 1 institution in 1 country.

Dario BaldiIRCCS SDN, Naples, Italy.ORCID https://orcid.org/0000-0001-7464-4499
Luca BassoIRCCS SDN, Naples, Italy.ORCID https://orcid.org/0000-0002-1774-0924
Gisella NeleIRCCS SDN, Naples, Italy.
Giovanni FedericoIRCCS SDN, Naples, Italy.
Giuseppe Walter AntonucciU.O.S.V.D. Radiologia Territoriale-ASL BT, Trani, Italy.
Marco SalvatoreIRCCS SDN, Naples, Italy.
Carlo CavaliereIRCCS SDN, Naples, Italy.ORCID https://orcid.org/0000-0002-3297-2213
SDN Istituto di Ricerca Diagnostica e Nucleare · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rhinoplasty and surgical reconstruction of cartilaginous structures still remain a great challenge today. This study aims to identify an imaging strategy in order to merge the information from CT scans and magnetic resonance imaging (MRI) acquisitions and build a 3D printed model true to the patient's anatomy, for better surgical planning. Using MRI, information can be obtained about the cartilage structures of which the nose is composed. Ten rhinoplasty candidate patients underwent both a low-dose protocol CT scan and a specific MRI for characterization of nasal structures. Bone and soft tissue segmentations were performed in CT, while cartilage segmentations were extrapolated from MRI and validated by both an expert radiologist and surgeon. Subsequently, a 3D model was produced in materials and colors reproducing the density of the three main structures (bone, soft tissue, and cartilage), useful for pre-surgical evaluation. This study has highlighted that the optimization of a CT and MR dedicated protocol has allowed to reduce the CT radiation dose up to 60% compared to standard acquisitions with the same machine, and MR acquisition time of about 20%. Patient-tailored 3D models and pre-surgical planning have reduced the mean operative time by 20 minutes.

Indexed as

3D printingLDCTMRIrhinoplasty

Identifiers

PMID34880718
PMCPMC8647253
OpenAlexW4200044850

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.