Evidence map›Paper›PMID 27541694›Full record

ReviewJournal of neuroimaging : official journal of the American Society of Neuroimaging2017

Applications of Ultrasound in the Resection of Brain Tumors.

Rahul Sastry, Wenya Linda Bi, Steve Pieper, Sarah Frisken, Tina Kapur, William Wells, Alexandra J Golby

Abstract readReview
In one paragraph

Review in Journal of neuroimaging : official journal of the American Society of Neuroimaging, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
78citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

78 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Advanced Image-Guidance and Surgical-Navigation Techniques for Real-Time Visualized Surgery.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  8. Article
  9. Identifying visible tissue in intraoperative ultrasound: a method and application.International journal of computer assisted radiology and surgery · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

18 more citing papers are in PubMed but not listed here.

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.

Rahul SastryDepartment of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA.
Wenya Linda BiDepartment of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA.
Steve PieperIsomics, Inc, Cambridge, MA.
Sarah FriskenDepartment of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA.
Tina KapurDepartment of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA.
William WellsDepartment of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA.
Alexandra J GolbyDepartment of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA.

Funding

WHITE MATTER ARCHITECTURE FROM DT-MRIP41RR013218 · NCRR · BRIGHAM AND WOMEN'S HOSPITAL · PI KIKINIS, RON · 1998 to 2011
$30.6M
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
Multimodal Registration of the Brain's Cortical SurfaceR01NS049251 · NINDS · VANDERBILT UNIVERSITY · PI GOLBY, ALEXANDRA J, MIGA, MICHAEL IAN · 2005 to 2018
$6.7M
Image Registration for Ultrasound-Based Neurosurgical NavigationR01CA138419 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI AYLWARD, STEPHEN R, WELLS, WILLIAM M. · 2009 to 2013
$1.8M
NCI NIH HHS R01 CA138419NCRR NIH HHS P41 RR013218NIBIB NIH HHS P41 EB015898NIBIB NIH HHS P41 EB015902NINDS NIH HHS R01 NS049251
6 · The paper itself

Abstract

Neurosurgery makes use of preoperative imaging to visualize pathology, inform surgical planning, and evaluate the safety of selected approaches. The utility of preoperative imaging for neuronavigation, however, is diminished by the well-characterized phenomenon of brain shift, in which the brain deforms intraoperatively as a result of craniotomy, swelling, gravity, tumor resection, cerebrospinal fluid (CSF) drainage, and many other factors. As such, there is a need for updated intraoperative information that accurately reflects intraoperative conditions. Since 1982, intraoperative ultrasound has allowed neurosurgeons to craft and update operative plans without ionizing radiation exposure or major workflow interruption. Continued evolution of ultrasound technology since its introduction has resulted in superior imaging quality, smaller probes, and more seamless integration with neuronavigation systems. Furthermore, the introduction of related imaging modalities, such as 3-dimensional ultrasound, contrast-enhanced ultrasound, high-frequency ultrasound, and ultrasound elastography, has dramatically expanded the options available to the neurosurgeon intraoperatively. In the context of these advances, we review the current state, potential, and challenges of intraoperative ultrasound for brain tumor resection. We begin by evaluating these ultrasound technologies and their relative advantages and disadvantages. We then review three specific applications of these ultrasound technologies to brain tumor resection: (1) intraoperative navigation, (2) assessment of extent of resection, and (3) brain shift monitoring and compensation. We conclude by identifying opportunities for future directions in the development of ultrasound technologies.

Indexed as

BrainBrain NeoplasmsHumansImaging, Three-DimensionalIntraoperative PeriodNeuronavigationUltrasonographybrain shiftbrain tumor resectionintraoperative imagingneurosurgeryUltrasound

Identifiers

PMID27541694
PMCPMC5226862

What OpenQuestion holds

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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.