Evidence map›Paper›PMID 27908166›Full record

ArticleMedical physics2016

Improved targeting accuracy of lung tumor biopsies with scanning-beam digital x-ray tomosynthesis image guidance.

Geoff Nelson, Meng Wu, Cameron Hinkel, Ganesh Krishna, Tobias Funk, Jarrett Rosenberg, Rebecca Fahrig

Open access · greenAbstract read
In one paragraph

Article in Medical physics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.5field-weighted citation impact, top 27% 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

10 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
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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

7 authors at 3 institutions in 1 country.

Geoff NelsonDepartment of Radiology, Stanford University, Stanford, California 94305.
Meng WuDepartment of Radiology, Stanford University, Stanford, California 94305.
Cameron HinkelDepartment of Radiology, Stanford University, Stanford, California 94305.
Ganesh KrishnaPalo Alto Medical Foundation, Department of Medicine, University of California San Francisco, San Francisco, California 94143.
Tobias FunkTriple Ring Technologies, Inc., Newark, California 94560.
Jarrett RosenbergDepartment of Radiology, Stanford University, Stanford, California 94305.
Rebecca FahrigDepartment of Radiology, Stanford University, Stanford, California 94305.
Stanford University · USTriple Ring Technologies (United States) · USUniversity of California, San Francisco · US

Funding

Axiom zeego shared instrument grantS10RR026714 · NCRR · STANFORD UNIVERSITY · PI FAHRIG, REBECCA · 2010 to 2010
$500k
Ultrafast Tomosynthesis for Transbronchial Biopsy GuidanceR21HL098683 · NHLBI · STANFORD UNIVERSITY · PI FAHRIG, REBECCA · 2010 to 2011
$410k
NCRR NIH HHS S10 RR026714NHLBI NIH HHS R21 HL098683
6 · The paper itself

Abstract

purposeElectromagnetic navigation bronchoscopy (ENB) provides improved targeting accuracy during transbronchial biopsies of suspicious nodules. The greatest weakness of ENB-based guidance is the registration divergence that exists between the planning CT, acquired days or weeks before the intervention, and the patient on the table on the day of the intervention. Augmenting ENB guidance with real-time tomosynthesis imaging during the intervention could mitigate the divergence and further improve the yield of ENB-guided transbronchial biopsies. The real-time tomosynthesis prototype, the scanning-beam digital x-ray (SBDX) system, does not currently display images reconstructed by the iterative algorithm that was developed for this lung imaging application. A protocol using fiducial markers was therefore implemented to permit evaluation of potential improvements that would be provided by the SBDX system in a clinical setting.

methodsTen 7 mm lesions (5 per side) were injected into the periphery of each of four preserved pig lungs. The lungs were then placed in a vacuum chamber that permitted simulation of realistic motion and deformation due to breathing. Standard clinical CT scans of the pig lung phantoms were acquired and reconstructed with isotropic resolution of 0.625 mm. Standard ENB-guided biopsy procedures including target identification, path planning, CT-to-lung registration and navigation to the lesion were carried out, and a fiducial marker was placed at the location at which a biopsy would have been acquired. The channel-to-target distance provided by the ENB system prior to fiducial placement was noted. The lung phantoms were then imaged using the SBDX system, and using high-resolution conebeam CT. The distance between the fiducial marker tip and the lesion was measured in SBDX images and in the gold-standard conebeam-CT images. The channel-to-target divergence predicted by the ENB system and measured in the SBDX images was compared to the gold standard to determine if improved targeting accuracy could be achieved using SBDX image guidance.

resultsAs expected, the ENB system showed poorer targeting accuracy for small peripheral nodules. Only 20 nodules of the 40 injected could be adequately reached using ENB guidance alone. The SBDX system was capable of visualizing these small lesions, and measured fiducial-to-target distances on SBDX agreed well with measurements in gold-standard conebeam-CT images (p = 0.0001). The correlation between gold-standard conebeam-CT distances and predicted fiducial-to-target distances provided by the ENB system was poor (p = 0.72), primarily due to inaccurate ENB CT-to-body registration and movement due to breathing.

conclusionsThe SBDX system permits visualization of small lung nodules, as well as accurate measurement of channel-to-target distances. Combined use of ENB with SBDX real-time image guidance could improve accuracy and yield of biopsies, particularly of those lesions located in the periphery of the lung.

Indexed as

Radiographic Image EnhancementAnimalsHumansImage-Guided BiopsyImage Processing, Computer-AssistedLung NeoplasmsPhantoms, ImagingSwine

Identifiers

PMID27908166
PMCPMC5097052
OpenAlexW2548403385

What OpenQuestion holds

Textmetadata
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.