Evidence map›Paper›PMID 33654678›Full record

ArticleQuantitative imaging in medicine and surgery2021

Towards virtual biopsies of gastrointestinal tissues using photoacoustic remote sensing microscopy.

Benjamin R Ecclestone, Saad Abbasi, Kevan Bell, Deepak Dinakaran, Gilbert Bigras, John R Mackey, Parsin Haji Reza

Open access · diamondAbstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2021. 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
1.3field-weighted citation impact, top 22% 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, 18 citations in OpenAlex.

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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 2 institutions in 1 country.

Benjamin R EcclestonePhotoMedicine Labs, Department of Systems Design Engineering, University of Waterloo, Waterloo, Canada.
Saad AbbasiPhotoMedicine Labs, Department of Systems Design Engineering, University of Waterloo, Waterloo, Canada.
Kevan BellPhotoMedicine Labs, Department of Systems Design Engineering, University of Waterloo, Waterloo, Canada.
Deepak DinakaranillumiSonics Inc., Department of Systems Design Engineering, University of Waterloo, Waterloo, Canada.
Gilbert BigrasDepartment of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Canada.
John R MackeyDepartment of Oncology, University of Alberta, Edmonton, Canada.
Parsin Haji RezaPhotoMedicine Labs, Department of Systems Design Engineering, University of Waterloo, Waterloo, Canada.
University of Waterloo · CAUniversity of Alberta · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastrointestinal (GI) tissue biopsies provide critical diagnostic information for a wide variety of conditions such as neoplastic diseases (colorectal, small bowel and stomach cancers) and non-neoplastic diseases (inflammatory disorders, infection, celiac disease). Endoscopic biopsies collect small tissue samples that require resource intensive processing to permit histopathological analysis. Unfortunately, the sparsely collected biopsy samples may fail to capture the pathologic condition because selection of biopsy sites relies on macroscopic superficial tissue features and clinician judgement. Here, we present the first all-optical non-contact label-free non-interferometric photoacoustic microscopy system capable of performing "virtual biopsies". A modular photoacoustic remote sensing (PARS™) architecture is used facilitating imaging of unprocessed tissues providing information similar to conventional histopathological staining techniques. Prospectively this would allow gastroenterologists to assess subcellular tissue morphology in situ when selecting biopsy location. Tested on preserved unstained human and freshly resected murine tissues, the presented PARS microscope rapidly retrieves images of similar area to current biopsies, while maintaining comparable quality to the current standard for histopathological analysis. Additionally, results show the first label free assessment of subsurface cellular morphology in FFPE GI tissue blocks. Clinically relevant features are recovered including cellular details such as lamina propria within colon tissue and cell nuclear structure in resected smooth muscle. Constructed with a modular architecture, this system facilitates the future development of compact imaging heads. The modular PARS system overcomes many of the challenges with imaging unstained thick tissue

Indexed as

gastrointestinal (GI)histologypathologyPhotoacoustic remote sensing microscopy (PARS)photoacoustics

Identifiers

PMID33654678
PMCPMC7829170
OpenAlexW3083567215

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.