Evidence map›Paper›PMID 38707637›Full record

ArticleProceedings of SPIE--the International Society for Optical Engineering2024

Nerve Detection and Visualization Using Hyperspectral Imaging for Surgical Guidance.

Minh Ha Tran, Michelle Bryarly, Ling Ma, Muhammad Saad Yousuf, Theodore J Price, Baowei Fei

Abstract read
In one paragraph

Article in Proceedings of SPIE--the International Society for Optical Engineering, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Optimization of Transfer Learning of Foundation Models for Hyperspectral Histologic Imaging.Proceedings of SPIE--the International Society for Optical Engineering · 2025
    Article
  2. 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

6 authors.

Minh Ha TranCenter for Imaging and Surgical Innovation, University of Texas at Dallas, Richardson, TX.
Michelle BryarlyCenter for Imaging and Surgical Innovation, University of Texas at Dallas, Richardson, TX.
Ling MaCenter for Imaging and Surgical Innovation, University of Texas at Dallas, Richardson, TX.
Muhammad Saad YousufDepartment of Neuroscience, University of Texas at Dallas, Richardson, TX.
Theodore J PriceDepartment of Neuroscience, University of Texas at Dallas, Richardson, TX.
Baowei FeiCenter for Imaging and Surgical Innovation, University of Texas at Dallas, Richardson, TX.

Funding

Mechanistic underpinnings of chronic low back painU19NS130608 · NINDS · UNIVERSITY OF TEXAS DALLAS · PI Theodore J Price · 2022 to 2026
$13.6M
Targeting methylglyoxal-induced diabetic neuropathic pain through the integrated stress responseR01DK134893 · NIDDK · UNIVERSITY OF TEXAS DALLAS · PI MUNMUN CHATTOPADHYAY, Muhammad Saad Yousuf · 2023 to 2026
$3.1M
ACADEMIC-INDUSTRIAL PARTNERSHIP FOR TRANSLATION OF PET/TRUS GUIDED INTERVENTIONR01CA204254 · NCI · UNIVERSITY OF TEXAS DALLAS · PI FEI, BAOWEI · 2017 to 2021
$2.0M
A Real-Time Hyperspectral Laparoscopic Stereo Imaging System for Robot-Assisted SurgeryR01CA288379 · NCI · UNIVERSITY OF TEXAS DALLAS · PI BAOWEI FEI · 2024 to 2026
$1.6M
NCI NIH HHS R01 CA204254NCI NIH HHS R01 CA288379NIDDK NIH HHS R01 DK134893NINDS NIH HHS U19 NS130608
6 · The paper itself

Abstract

During surgery of delicate regions, differentiation between nerve and surrounding tissue is crucial. Hyperspectral imaging (HSI) techniques can enhance the contrast between types of tissue beyond what the human eye can differentiate. Whereas an RGB image captures 3 bands within the visible light range (

Indexed as

Hyperspectral imagingimage-guided surgerynerve detectionspectral angle mapper

Identifiers

PMID38707637
PMCPMC11070131

What OpenQuestion holds

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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.