Evidence map›Paper›PMID 38507389›Full record

ArticleIEEE transactions on bio-medical engineering2024

Multiscale Optical Imaging Fusion for Cervical Precancer Diagnosis: Integrating Widefield Colposcopy and High-Resolution Endomicroscopy.

David Brenes, Mila P Salcedo, Jackson B Coole, Yajur Maker, Alex Kortum, Richard A Schwarz, Jennifer Carns, Imran S Vohra, Julio C Possati-Resende, Marcio Antoniazzi and 8 more

Open access · bronzeAbstract read
In one paragraph

Article in IEEE transactions on bio-medical engineering, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. 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

18 authors at 5 institutions in 2 countries.

David Brenes
Mila P Salcedo
Jackson B Coole
Yajur Maker
Alex Kortum
Richard A Schwarz
Jennifer Carns
Imran S Vohra
Julio C Possati-Resende
Marcio Antoniazzi
Bruno de Oliveira Fonseca
Karen C Borba Souza
Iara V Vidigal Santana
Flavia Fazzio Barbin
Regis Kreitchmann
Nirmala Ramanujam
Kathleen M Schmeler
Rebecca Richards-Kortum
Rice University · USHospital de Câncer de Barretos · BRThe University of Texas MD Anderson Cancer Center · USDuke University · USUniversidade Federal de Ciências da Saúde de Porto Alegre · BR

Funding

Development and Validation of an Artificial-Intelligence-enabled Portable Colposcopy Device for Optimizing Triage Alternatives for HPV-based Cervical Cancer ScreeningU01CA269192 · NCI · DUKE UNIVERSITY · PI Megan J. Huchko, Francesca Akoth Odhiambo · 2022 to 2026
$3.4M
Low-cost mobile colposcopy and confocal imaging for global prevention of cervical cancerR01CA251911 · NCI · RICE UNIVERSITY · PI RICHARDS-KORTUM, REBECCA R., SCHMELER, KATHLEEN · 2020 to 2024
$2.8M
NCI NIH HHS R01 CA251911NCI NIH HHS U01 CA269192
6 · The paper itself

Abstract

objectiveEarly detection and treatment of cervical precancers can prevent disease progression. However, in low-resource communities with a high incidence of cervical cancer, high equipment costs and a shortage of specialists hinder preventative strategies. This manuscript presents a low-cost multiscale in vivo optical imaging system coupled with a computer-aided diagnostic system that could enable accurate, real-time diagnosis of high-grade cervical precancers.

methodsThe system combines portable colposcopy and high-resolution endomicroscopy (HRME) to acquire spatially registered widefield and microscopy videos. A multiscale imaging fusion network (MSFN) was developed to identify cervical intraepithelial neoplasia grade 2 or more severe (CIN 2+). The MSFN automatically identifies and segments the ectocervix and lesions from colposcopy images, extracts nuclear morphology features from HRME videos, and integrates the colposcopy and HRME information.

resultsWith a threshold value set to achieve sensitivity equal to clinical impression (0.98 [p = 1.0]), the MSFN achieved a significantly higher specificity than clinical impression (0.75 vs. 0.43, p = 0.000006).

conclusionOur findings show that multiscale optical imaging of the cervix allows the highly sensitive and specific detection of high-grade precancers. SIGNIFICANCE: The multiscale imaging system and MSFN could facilitate the accurate, real-time diagnosis of cervical precancers in low-resource settings.

Indexed as

ColposcopyUterine Cervical NeoplasmsAdultCervix UteriFemaleHumansImage Interpretation, Computer-AssistedMicroscopyOptical ImagingPrecancerous ConditionsSensitivity and SpecificityUterine Cervical Dysplasia

Identifiers

PMID38507389
PMCPMC11441333
OpenAlexW4392980079

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.