Evidence map›Paper›PMID 35757581›Full record

ArticleAdvanced intelligent systems (Weinheim an der Bergstrasse, Germany)2022

A Soft Sensor for Bleeding Detection in Colonoscopies.

Arincheyan Gerald, Max McCandless, Avani Sheth, Hiroyuki Aihara, Sheila Russo

Open access · goldAbstract read
In one paragraph

Article in Advanced intelligent systems (Weinheim an der Bergstrasse, Germany), 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
0.3field-weighted citation impact, top 46% 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

5 authors at 2 institutions in 1 country.

Arincheyan GeraldDepartment of Mechanical Engineering, Boston University, Boston, MA 02215, USA.
Max McCandlessDepartment of Mechanical Engineering, Boston University, Boston, MA 02215, USA.
Avani ShethDepartment of Biomedical Engineering, Boston University, Boston, MA 02215, USA.
Hiroyuki AiharaBrigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.
Sheila RussoDepartment of Mechanical Engineering, Boston University, Boston, MA 02215, USA.
Boston University · USBrigham and Women's Hospital · US

Funding

A Soft Robotic Sleeve to Enable Safer and Easier Colonoscopy ProceduresR21EB029154 · NIBIB · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI AIHARA, HIROYUKI, RUSSO, SHEILA · 2020 to 2020
$683k
NIBIB NIH HHS R21 EB029154
6 · The paper itself

Abstract

Colonoscopies allow surgeons to detect common diseases i.e. colorectal cancer, ulcers and other ailments. However, there is a risk of bleeding in the lower gastrointestinal (GI) tract while maneuvering endoscopes. This may be due to perforations, hemorrhaging, polyps, diverticuli or post-biopsy complications. Thus, it is essential for the surgeon to be able to detect bleeding at the site and evaluate the severity of blood leakage. This paper presents a soft sensor that can detect the presence of blood at the bleeding site during colonoscopies. The sensor consists of optical waveguides that interface with a microfluidic channel. Blood flow causes absorption and scattering of incident light that can be picked up by the optical sensing apparatus via light transmission through the waveguide. The surgeon can be alerted when bleeding occurs through a graphical user interface. The device is compact and measures only 1 mm thick. This allows the sensor to be circumferentially mounted onto a colonoscope at different locations. The sensor is able to record the presence of blood as an optical loss, rapidly detect the presence of blood in under 100 milliseconds as it enters the microchannel, and differentiate between gastric fluid and blood through changes in measured optical loss.

Indexed as

Blood DetectionColonoscopyMedical RoboticsSoft RoboticsSoft Sensors

Identifiers

PMID35757581
PMCPMC9216226
OpenAlexW4212927204

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.