Evidence map›Paper›PMID 29984097›Full record

ArticleBiomedical optics express2018

Weighting function effects in a direct regularization method for image-guided near-infrared spectral tomography of breast cancer.

Jinchao Feng, Shudong Jiang, Brian W Pogue, Keith Paulsen

Open access · goldAbstract read
In one paragraph

Article in Biomedical optics express, 2018. 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
0.5field-weighted citation impact, top 31% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. 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

4 authors at 1 institution in 2 countries.

Jinchao FengBeijing Key Laboratory of Computational Intelligence and Intelligent System, Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China.
Shudong JiangThayer School of Engineering, Dartmouth College, NH 03755, USA.
Brian W PogueThayer School of Engineering, Dartmouth College, NH 03755, USA.
Keith PaulsenThayer School of Engineering, Dartmouth College, NH 03755, USA.
Dartmouth College · US

Funding

Concurrent Optical Spectroscopy and Breast MRI to Improve Diagnosis without Contrast InjectionR01EB027098 · NIBIB · DARTMOUTH COLLEGE · PI Shudong Jiang, KEITH D. PAULSEN · 2019 to 2026
$3.3M
Monitoring Neoadjuvant Chemotherapy Responses with NIR TomographyR01CA176086 · NCI · DARTMOUTH COLLEGE · PI JIANG, SHUDONG · 2014 to 2018
$2.0M
NCI NIH HHS R01 CA176086NIBIB NIH HHS R01 EB027098
6 · The paper itself

Abstract

Structural image-guided near-infrared spectral tomography (NIRST) has been developed as a way to use diffuse NIR spectroscopy within the context of image-guided quantification of tissue spectral features. A direct regularization imaging (DRI) method for NIRST has the value of not requiring any image segmentation. Here, we present a comprehensive investigational study to analyze the impact of the weighting function implied when weighting the recovery of optical coefficients in DRI based NIRST. This was done using simulations, phantom and clinical patient exam data. Simulations where the true object is known indicate that changes to this weighting function can vary the contrast by 10%, the contrast to noise ratio by 20% and the full width half maximum (FWHM) by 30%. The results from phantoms and human images show that a linear inverse distance weighting function appears optimal, and that incorporation of this function can generally improve the recovered total hemoglobin contrast of the tumor to the normal surrounding tissue by more than 15% in human cases.

Indexed as

(100.3010) Image reconstruction techniques(170.3880) Medical and biological imaging(170.6960) Tomography

Identifiers

PMID29984097
PMCPMC6033579
OpenAlexW2811102006

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.