Evidence map›Paper›PMID 31624121›Full record

ArticleAJNR. American journal of neuroradiology2019

MR Imaging of the Extracranial Facial Nerve with the CISS Sequence.

J P Guenette, N Ben-Shlomo, J Jayender, R T Seethamraju, V Kimbrell, N-A Tran, R Y Huang, C J Kim, J I Kass, C E Corrales and 1 more

Open access · hybridAbstract read
In one paragraph

Article in AJNR. American journal of neuroradiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 12% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

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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

11 authors at 4 institutions in 2 countries.

J P GuenetteFrom the Divisions of Neuroradiology (J.P.G., J.J., V.K., N.-A.T., R.Y.H., C.J.K., T.C.L.) jpguenette@bwh.harvard.edu.ORCID 0000-0002-4684-5469
N Ben-ShlomoOtolaryngology-Head and Neck Surgery (N.B.-S., J.I.K., C.E.C), Brigham & Women's Hospital, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0002-5055-8286
J JayenderFrom the Divisions of Neuroradiology (J.P.G., J.J., V.K., N.-A.T., R.Y.H., C.J.K., T.C.L.).ORCID 0000-0002-3308-3012
R T SeethamrajuSiemens Medical Solutions USA (R.T.S.), Boston, Massachusetts.ORCID 0000-0002-2719-6854
V KimbrellFrom the Divisions of Neuroradiology (J.P.G., J.J., V.K., N.-A.T., R.Y.H., C.J.K., T.C.L.).ORCID 0000-0003-1789-2482
N-A TranFrom the Divisions of Neuroradiology (J.P.G., J.J., V.K., N.-A.T., R.Y.H., C.J.K., T.C.L.).ORCID 0000-0002-2424-7724
R Y HuangFrom the Divisions of Neuroradiology (J.P.G., J.J., V.K., N.-A.T., R.Y.H., C.J.K., T.C.L.).ORCID 0000-0001-7661-797X
C J KimFrom the Divisions of Neuroradiology (J.P.G., J.J., V.K., N.-A.T., R.Y.H., C.J.K., T.C.L.).ORCID 0000-0002-5485-7670
J I KassOtolaryngology-Head and Neck Surgery (N.B.-S., J.I.K., C.E.C), Brigham & Women's Hospital, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0002-2142-5759
C E CorralesOtolaryngology-Head and Neck Surgery (N.B.-S., J.I.K., C.E.C), Brigham & Women's Hospital, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0002-5464-9257
T C LeeFrom the Divisions of Neuroradiology (J.P.G., J.J., V.K., N.-A.T., R.Y.H., C.J.K., T.C.L.).ORCID 0000-0002-4691-9982
JDSU (United States) · USBrigham and Women's Hospital · USJacobson Holman (United States) · USMedical Solutions · GB

Funding

Image Guided Therapy Center - Ultrasound-based sensor system for the monitoring of COVID-19 patientsP41EB015898 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI TEMPANY, CLARE M · 2012 to 2021
$18.9M
Image-registered, Hand-held, Concentric Tube Robot for Percutaneous Treatment of CalculiR01DK119269 · NIDDK · BRIGHAM AND WOMEN'S HOSPITAL · PI JAGADEESAN, JAYENDER · 2019 to 2023
$1.8M
Lung Navigation System for Localizing and Resecting NodulesR01EB025964 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI BUENO, RAPHAEL, JAGADEESAN, JAYENDER · 2018 to 2021
$1.6M
NIBIB NIH HHS P41 EB015898NIBIB NIH HHS R01 EB025964NIDDK NIH HHS R01 DK119269
6 · The paper itself

Abstract

background and purposeMR imaging is not routinely used to image the extracranial facial nerve. The purpose of this study was to determine the extent to which this nerve can be visualized with a CISS sequence and to determine the feasibility of using that sequence for locating the nerve relative to tumor. MATERIALS AND

methodsThirty-two facial nerves in 16 healthy subjects and 4 facial nerves in 4 subjects with parotid gland tumors were imaged with an axial CISS sequence protocol that included 0.8-mm isotropic voxels on a 3T MR imaging system with a 64-channel head/neck coil. Four observers independently segmented the 32 healthy subject nerves. Segmentations were compared by calculating average Hausdorff distance values and Dice similarity coefficients.

resultsThe primary bifurcation of the extracranial facial nerve into the superior temporofacial and inferior cervicofacial trunks was visible on all 128 segmentations. The mean of the average Hausdorff distances was 1.2 mm (range, 0.3-4.6 mm). Dice coefficients ranged from 0.40 to 0.82. The relative position of the facial nerve to the tumor could be inferred in all 4 tumor cases.

conclusionsThe facial nerve can be seen on CISS images from the stylomastoid foramen to the temporofacial and cervicofacial trunks, proximal to the parotid plexus. Use of a CISS protocol is feasible in the clinical setting to determine the location of the facial nerve relative to tumor.

Indexed as

AdultFacial NerveFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNeuroimagingYoung Adult

Identifiers

PMID31624121
PMCPMC6856445
OpenAlexW2980975468

What OpenQuestion holds

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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.