Evidence map›Paper›PMID 31642247›Full record

ArticleJournal of biomedical optics2019

Small form factor, flexible, dual-modality handheld probe for smartphone-based, point-of-care oral and oropharyngeal cancer screening.

Ross D Uthoff, Bofan Song, Sumsum Sunny, Sanjana Patrick, Amritha Suresh, Trupti Kolur, Keerthi Gurushanth, Kimberly Wooten, Vishal Gupta, Mary E Platek and 5 more

Open access · goldAbstract read
In one paragraph

Article in Journal of biomedical optics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.

  1. Pooled it
  2. Article
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  6. Review
  7. Article
  8. Review
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  13. Local elasticity evaluation of acid-denatured collagen by photoacoustic spectroscopy.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2023
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  17. Use of Artificial Intelligence in the Classification of Elementary Oral Lesions from Clinical Images.International journal of environmental research and public health · 2023
    Article
  18. 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

15 authors at 8 institutions in 2 countries.

Ross D UthoffThe University of Arizona, College of Optical Sciences, Tucson, Arizona, United States.
Bofan SongThe University of Arizona, College of Optical Sciences, Tucson, Arizona, United States.
Sumsum SunnyMazumdar Shaw Medical Centre, Bangalore, Karnataka, India.
Sanjana PatrickBiocon Foundation, Bangalore, Karnataka, India.
Amritha SureshMazumdar Shaw Medical Centre, Bangalore, Karnataka, India.
Trupti KolurMazumdar Shaw Medical Centre, Bangalore, Karnataka, India.
Keerthi GurushanthKLES Institute of Dental Sciences, Bangalore, Karnataka, India.
Kimberly WootenRoswell Park Comprehensive Cancer Center, Buffalo, New York, United States.
Vishal GuptaRoswell Park Comprehensive Cancer Center, Buffalo, New York, United States.
Mary E PlatekRoswell Park Comprehensive Cancer Center, Buffalo, New York, United States.
Anurag K SinghRoswell Park Comprehensive Cancer Center, Buffalo, New York, United States.
Petra Wilder-SmithUniversity of California, Irvine, Beckman Laser Institute, Irvine, California, United States.
Moni Abraham KuriakoseMazumdar Shaw Medical Centre, Bangalore, Karnataka, India.
Praveen BirurBiocon Foundation, Bangalore, Karnataka, India.
Rongguang LiangThe University of Arizona, College of Optical Sciences, Tucson, Arizona, United States.
Mazumdar Shaw Medical Centre · INRoswell Park Comprehensive Cancer Center · USUniversity of Arizona · USBiocon (India) · IND'Youville College · USKamineni Institute of Dental Sciences · INMazumdar Shaw Medical Foundation · INUniversity of California, Irvine · US

Funding

Graduate Training in Biomedical Imaging SpectrocopyT32EB000809 · NIBIB · UNIVERSITY OF ARIZONA · PI GMITRO, ARTHUR F. · 2003 to 2018
$3.3M
Low-cost Mobile Oral Cancer Screening for Low Resource SettingUH3CA239682 · NCI · UNIVERSITY OF ARIZONA · PI LIANG, RONGGUANG · 2018 to 2020
$2.5M
Low-cost Mobile Oral Cancer Screening for Low Resource SettingUH2EB022623 · NIBIB · UNIVERSITY OF ARIZONA · PI LIANG, RONGGUANG · 2016 to 2017
$996k
Ultra Precision Nanotech Manufacturing System 140GPMS10OD018061 · OD · UNIVERSITY OF ARIZONA · PI LIANG, RONGGUANG · 2015 to 2015
$305k
NCI NIH HHS UH3 CA239682NIBIB NIH HHS T32 EB000809NIBIB NIH HHS UH2 EB022623NIH HHS S10 OD018061
6 · The paper itself

Abstract

Oral cancer is a growing health issue in low- and middle-income countries due to betel quid, tobacco, and alcohol use and in younger populations of middle- and high-income communities due to the prevalence of human papillomavirus. The described point-of-care, smartphone-based intraoral probe enables autofluorescence imaging and polarized white light imaging in a compact geometry through the use of a USB-connected camera module. The small size and flexible imaging head improves on previous intraoral probe designs and allows imaging the cheek pockets, tonsils, and base of tongue, the areas of greatest risk for both causes of oral cancer. Cloud-based remote specialist and convolutional neural network clinical diagnosis allow for both remote community and home use. The device is characterized and preliminary field-testing data are shared.

Indexed as

Early Detection of CancerEquipment DesignHumansImage Interpretation, Computer-AssistedMouth NeoplasmsOptical ImagingOropharyngeal NeoplasmsPoint-of-Care SystemsTelemedicineautofluorescence imagingbiomedical imagingmobile healthoral cancer screening

Identifiers

PMID31642247
PMCPMC6826203
OpenAlexW2981645618

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.