Evidence map›Paper›PMID 36765783›Full record

ArticleCancers2023

Mapping Resection Progress by Tool-Tip Tracking during Brain Tumor Surgery for Real-Time Estimation of Residual Tumor.

Parikshit Juvekar, Erickson Torio, Wenya Linda Bi, Dhiego Chaves De Almeida Bastos, Alexandra J Golby, Sarah F Frisken

Abstract read
In one paragraph

Article in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Patient-Specific Real-Time Segmentation in Trackerless Brain Ultrasound.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2024
    Article
  6. Review
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

6 authors.

Parikshit JuvekarDepartment of Neurosurgery, Brigham and Women's Hospital, Boston, MA 02115, USA.ORCID 0000-0001-7496-7394
Erickson TorioDepartment of Neurosurgery, Brigham and Women's Hospital, Boston, MA 02115, USA.ORCID 0000-0003-0958-704X
Wenya Linda BiDepartment of Neurosurgery, Brigham and Women's Hospital, Boston, MA 02115, USA.ORCID 0000-0002-4635-0247
Dhiego Chaves De Almeida BastosDepartment of Neurosurgery, Brigham and Women's Hospital, Boston, MA 02115, USA.
Alexandra J GolbyDepartment of Neurosurgery, Brigham and Women's Hospital, Boston, MA 02115, USA.
Sarah F FriskenHarvard Medical School, Boston, MA 02115, USA.

Funding

TRD 3 - Enabling Technologies for Intraprocedural GuidanceP41EB028741 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI Carl-Fredrik Westin · 2021 to 2026
$10.7M
Ultrasound based neurosurgical navigation with uncertainty visualizationR01EB032387 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI FRISKEN, SARAH, GOLBY, ALEXANDRA J · 2022 to 2025
$2.0M
Continuous Compensation of Brain Shift during NeurosurgeryR01EB027134 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI FRISKEN, SARAH · 2018 to 2021
$1.8M
NIBIB NIH HHS P41 EB028741NIBIB NIH HHS R01 EB027134NIBIB NIH HHS R01 EB032387NIH HHS P41 EB028741-01A1NIH HHS R01 EB027134-01NIH HHS R01 EB032387-01
6 · The paper itself

Abstract

Surgical resection continues to be the primary initial therapeutic strategy in the treatment of patients with brain tumors. Computerized cranial neuronavigation based on preoperative imaging offers precision guidance during craniotomy and early tumor resection but progressively loses validity with brain shift. Intraoperative MRI (iMRI) and intraoperative ultrasound (iUS) can update the imaging used for guidance and navigation but are limited in terms of temporal and spatial resolution, respectively. We present a system that uses time-stamped tool-tip positions of surgical instruments to generate a map of resection progress with high spatial and temporal accuracy. We evaluate this system and present results from 80 cranial tumor resections. Regions of the preoperative tumor segmentation that are covered by the resection map (True Positive Tracking) and regions of the preoperative tumor segmentation not covered by the resection map (True Negative Tracking) are determined for each case. We compare True Negative Tracking, which estimates the residual tumor, with the actual residual tumor identified using iMRI. We discuss factors that can cause False Positive Tracking and False Negative Tracking, which underestimate and overestimate the residual tumor, respectively. Our method provides good estimates of the residual tumor when there is minimal brain shift, and line-of-sight is maintained. When these conditions are not met, surgeons report that it is still useful for identifying regions of potential residual.

Indexed as

brain shiftglobal surgeryimage guided neurosurgeryintraoperative MRIintraoperative ultrasoundneurosurgical oncologyopen sourceresection mappingresidual tumortumor resection

Identifiers

PMID36765783
PMCPMC9913508

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Registered trials

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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.