Evidence map›Paper›PMID 22006905›Full record

ReviewPhilosophical transactions. Series A, Mathematical, physical, and engineering sciences2011

Implicit and explicit prior information in near-infrared spectral imaging: accuracy, quantification and diagnostic value.

Brian W Pogue, Scott C Davis, Frederic Leblond, Michael A Mastanduno, Hamid Dehghani, Keith D Paulsen

Abstract readReview
In one paragraph

Review in Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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  11. MR-Guided Near-Infrared Spectral Tomography Increases Diagnostic Performance of Breast MRI.Clinical cancer research : an official journal of the American Association for Cancer Research · 2015
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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

6 authors.

Brian W PogueThayer School of Engineering, Dartmouth College, Hanover, NH 03755, USA. brian.w.pogue@dartmouth.edu
Scott C Davis
Frederic Leblond
Michael A Mastanduno
Hamid Dehghani
Keith D Paulsen

Funding

Fluorescence Imaging to Optimize Cancer TherapyR01CA109558 · NCI · DARTMOUTH COLLEGE · PI POGUE, BRIAN WILLIAM · 2005 to 2015
$2.8M
FREQUENCY DOMAIN OPTICAL IMAGING OF BREAST CANCERR01CA069544 · NCI · DARTMOUTH COLLEGE · PI PAULSEN, KEITH D. · 1996 to 2012
$2.4M
Micro CT/NIR Molecular Imaging of CancerR01CA120368 · NCI · DARTMOUTH COLLEGE · PI POGUE, BRIAN WILLIAM · 2007 to 2011
$1.2M
X-ray/Fluorescence Molecular and Diffuse Optical Tomography of GliomaK25CA138578 · NCI · DARTMOUTH COLLEGE · PI LEBLOND, FREDERIC · 2009 to 2012
$722k
NCI NIH HHS K25 CA138578NCI NIH HHS K25CA138578NCI NIH HHS R01 CA069544NCI NIH HHS R01CA069544NCI NIH HHS R01 CA109558NCI NIH HHS R01CA109558NCI NIH HHS R01 CA120368NCI NIH HHS R01CA120368
6 · The paper itself

Abstract

Near-infrared spectroscopy (NIRS) of tissue provides quantification of absorbers, scattering and luminescent agents in bulk tissue through the use of measurement data and assumptions. Prior knowledge can be critical about things such as (i) the tissue shape and/or structure, (ii) spectral constituents, (iii) limits on parameters, (iv) demographic or biomarker data, and (v) biophysical models of the temporal signal shapes. A general framework of NIRS imaging with prior information is presented, showing that prior information datasets could be incorporated at any step in the NIRS process, with the general workflow being: (i) data acquisition, (ii) pre-processing, (iii) forward model, (iv) inversion/reconstruction, (v) post-processing, and (vi) interpretation/diagnosis. Most of the development in NIRS has used ad hoc or empirical implementations of prior information such as pre-measured absorber or fluorophore spectra, or tissue shapes as estimated by additional imaging tools. A comprehensive analysis would examine what prior information maximizes the accuracy in recovery and value for medical diagnosis, when implemented at separate stages of the NIRS sequence. Individual applications of prior information can show increases in accuracy or improved ability to estimate biochemical features of tissue, while other approaches may not. Most beneficial inclusion of prior information has been in the inversion/reconstruction process, because it solves the mathematical intractability. However, it is not clear that this is always the most beneficial stage.

Indexed as

BiophysicsBreast NeoplasmsDiagnostic ImagingFalse Positive ReactionsFemaleFluorescent DyesHumansMagnetic Resonance ImagingModels, TheoreticalNeoplasmsOptics and PhotonicsReproducibility of ResultsSensitivity and SpecificitySpectroscopy, Near-InfraredTomography, X-Ray ComputedFluorescent Dyes

Identifiers

PMID22006905
PMCPMC3263784

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.