Evidence map›Paper›PMID 35212692›Full record

ArticleLab on a chip2022

CoreView: fresh tissue biopsy assessment at the bedside using a millifluidic imaging chip.

David J Cooper, Chuqin Huang, Dylan A Klavins, Mark E Fauver, Matthew D Carson, Farzad Fereidouni, Suzanne Dintzis, Csaba Galambos, Richard M Levenson, Eric J Seibel

Open access · greenAbstract read
In one paragraph

Article in Lab on a chip, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 59% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. 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 4 institutions in 1 country.

David J CooperDepartment of Bioengineering, University of Washington, 3720 15th Ave NE, Seattle, Washington, USA. eseibel@uw.edu.ORCID 0000-0001-6183-8788
Chuqin HuangDepartment of Biomedical Engineering, State University of New York at Buffalo, 208 Bonner Hall, Buffalo, New York, USA.
Dylan A KlavinsDepartment of Mechanical Engineering, University of Washington, 143 MEB, 3900 E. Stevens Way, Seattle, Washington, USA.
Mark E FauverDepartment of Mechanical Engineering, University of Washington, 143 MEB, 3900 E. Stevens Way, Seattle, Washington, USA.ORCID 0000-0002-2791-7076
Matthew D CarsonDepartment of Mechanical Engineering, University of Washington, 143 MEB, 3900 E. Stevens Way, Seattle, Washington, USA.
Farzad FereidouniDepartment of Pathology & Laboratory Medicine, University of Davis Health, 4400 V St, Sacramento, California, USA.
Suzanne DintzisDepartment of Laboratory Medicine & Pathology, University of Washington Medicine, 1959 NE Pacific St, Seattle, Washington, USA.
Csaba GalambosDepartment of Pathology, University of Colorado Medicine, 13123 E 16th Ave, Aurora, Colorado, USA.
Richard M LevensonDepartment of Pathology & Laboratory Medicine, University of Davis Health, 4400 V St, Sacramento, California, USA.
Eric J SeibelDepartment of Bioengineering, University of Washington, 3720 15th Ave NE, Seattle, Washington, USA. eseibel@uw.edu.
University of Washington · USUniversity of California, Davis · USUniversity at Buffalo, State University of New York · USUniversity of Colorado Denver · US

Funding

Validation & Pathology CoreU54CA163059 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI RUBENSTEIN, JOEL H, WANG, THOMAS D · 2011 to 2022
$12.1M
Rapid Needle Biopsy Assessment at Point of Care to advance personalized cancer therapyR21CA246359 · NCI · UNIVERSITY OF WASHINGTON · PI SEIBEL, ERIC J · 2020 to 2021
$582k
NCI NIH HHS R21 CA246359NCI NIH HHS U54 CA163059
6 · The paper itself

Abstract

Minimally invasive core needle biopsies for medical diagnoses have become increasingly common for many diseases. Although tissue cores can yield more diagnostic information than fine needle biopsies and cytologic evaluations, there is no rapid assessment at the point-of-care for intact tissue cores that is low-cost and non-destructive to the biopsy. We have developed a proof-of-concept 3D printed millifluidic histopathology lab-on-a-chip device to automatically handle, process, and image fresh core needle biopsies. This device, named CoreView, includes modules for biopsy removal from the acquisition tool, transport, staining and rinsing, imaging, segmentation, and multiplexed storage. Reliable removal from side-cutting needles and bidirectional fluid transport of core needle biopsies of five tissue types has been demonstrated with 0.5 mm positioning accuracy. Automation is aided by a MATLAB-based biopsy tracking algorithm that can detect the location of tissue and air bubbles in the channels of the millifluidic chip. With current and emerging optical imaging technologies, CoreView can be used for a rapid adequacy test at the point-of-care for tissue identification as well as glomeruli counting in renal core needle biopsies.

Indexed as

AlgorithmsKidneyBiopsyBiopsy, Large-Core Needle

Identifiers

PMID35212692
PMCPMC8967779
OpenAlexW4225750174

What OpenQuestion holds

Textmetadata
LicenceTDM
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.