Evidence map›Paper›PMID 34026631›Full record

ArticleFrontiers in oncology2021

Challenges and Opportunities of Intraoperative 3D Ultrasound With Neuronavigation in Relation to Intraoperative MRI.

Dhiego Chaves De Almeida Bastos, Parikshit Juvekar, Yanmei Tie, Nick Jowkar, Steve Pieper, Willam M Wells, Wenya Linda Bi, Alexandra Golby, Sarah Frisken, Tina Kapur

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 3 pooled it
6.1field-weighted citation impact, top 3% 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

35 citing papers in PubMed, 3 syntheses or guidelines pooled it, 53 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Intraoperative MRI versus intraoperative ultrasound in pediatric brain tumor surgery: is expensive better than cheap? A review of the literature.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2022
    Pooled it
  4. Trial
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Awake craniotomy in pediatric low-grade glioma: barriers and future directions.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2024
    Review
  15. Navigated intraoperative ultrasound in pediatric brain tumors.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2024
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. ReMIND: The Brain Resection Multimodal Imaging Database.medRxiv : the preprint server for health sciences · 2024
    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

10 authors at 2 institutions in 1 country.

Dhiego Chaves De Almeida BastosDepartment of Neurosurgery, Brigham and Womens Hospital, Harvard Medical School, Boston, MA, United States.
Parikshit JuvekarDepartment of Neurosurgery, Brigham and Womens Hospital, Harvard Medical School, Boston, MA, United States.
Yanmei TieDepartment of Neurosurgery, Brigham and Womens Hospital, Harvard Medical School, Boston, MA, United States.
Nick JowkarDepartment of Neurosurgery, Brigham and Womens Hospital, Harvard Medical School, Boston, MA, United States.
Steve PieperDepartment of Neurosurgery, Brigham and Womens Hospital, Harvard Medical School, Boston, MA, United States.
Willam M WellsDepartment of Neurosurgery, Brigham and Womens Hospital, Harvard Medical School, Boston, MA, United States.
Wenya Linda BiDepartment of Neurosurgery, Brigham and Womens Hospital, Harvard Medical School, Boston, MA, United States.
Alexandra GolbyDepartment of Neurosurgery, Brigham and Womens Hospital, Harvard Medical School, Boston, MA, United States.
Sarah FriskenDepartment of Neurosurgery, Brigham and Womens Hospital, Harvard Medical School, Boston, MA, United States.
Tina KapurDepartment of Neurosurgery, Brigham and Womens Hospital, Harvard Medical School, Boston, MA, United States.
Harvard University · USBrigham and Women's Hospital · US

Funding

Training and DisseminationP41EB015902 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI PUJOL, SONIA · 2012 to 2022
$20.9M
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
TRD 3 - Enabling Technologies for Intraprocedural GuidanceP41EB028741 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI Nobuhiko Hata, CLARE M TEMPANY · 2021 to 2026
$10.7M
Continuous Compensation of Brain Shift during NeurosurgeryR01EB027134 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI FRISKEN, SARAH · 2018 to 2021
$1.8M
Resting-state fMRI for Language Mapping in Brain Tumor PatientsR21CA198740 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI GOLBY, ALEXANDRA J, TIE, YANMEI · 2015 to 2016
$425k
NCI NIH HHS R21 CA198740NIBIB NIH HHS P41 EB015898NIBIB NIH HHS P41 EB015902NIBIB NIH HHS P41 EB028741NIBIB NIH HHS R01 EB027134
6 · The paper itself

Abstract

introductionNeuronavigation greatly improves the surgeons ability to approach, assess and operate on brain tumors, but tends to lose its accuracy as the surgery progresses and substantial brain shift and deformation occurs. Intraoperative MRI (iMRI) can partially address this problem but is resource intensive and workflow disruptive. Intraoperative ultrasound (iUS) provides real-time information that can be used to update neuronavigation and provide real-time information regarding the resection progress. We describe the intraoperative use of 3D iUS in relation to iMRI, and discuss the challenges and opportunities in its use in neurosurgical practice.

methodsWe performed a retrospective evaluation of patients who underwent image-guided brain tumor resection in which both 3D iUS and iMRI were used. The study was conducted between June 2020 and December 2020 when an extension of a commercially available navigation software was introduced in our practice enabling 3D iUS volumes to be reconstructed from tracked 2D iUS images. For each patient, three or more 3D iUS images were acquired during the procedure, and one iMRI was acquired towards the end. The iUS images included an extradural ultrasound sweep acquired before dural incision (iUS-1), a post-dural opening iUS (iUS-2), and a third iUS acquired immediately before the iMRI acquisition (iUS-3). iUS-1 and preoperative MRI were compared to evaluate the ability of iUS to visualize tumor boundaries and critical anatomic landmarks; iUS-3 and iMRI were compared to evaluate the ability of iUS for predicting residual tumor.

resultsTwenty-three patients were included in this study. Fifteen patients had tumors located in eloquent or near eloquent brain regions, the majority of patients had low grade gliomas (11), gross total resection was achieved in 12 patients, postoperative temporary deficits were observed in five patients. In twenty-two iUS was able to define tumor location, tumor margins, and was able to indicate relevant landmarks for orientation and guidance. In sixteen cases, white matter fiber tracts computed from preoperative dMRI were overlaid on the iUS images. In nineteen patients, the EOR (GTR or STR) was predicted by iUS and confirmed by iMRI. The remaining four patients where iUS was not able to evaluate the presence or absence of residual tumor were recurrent cases with a previous surgical cavity that hindered good contact between the US probe and the brainsurface.

conclusionThis recent experience at our institution illustrates the practical benefits, challenges, and opportunities of 3D iUS in relation to iMRI.

Indexed as

3DiMRI = intraoperative MRIneurosurgerytumorultrasound

Identifiers

PMID34026631
PMCPMC8139191
OpenAlexW3159463938

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.