Evidence map›Paper›PMID 39412969›Full record

ArticleIEEE transactions on bio-medical engineering2025

MRI-Guided Near-Infrared Spectroscopic Tomography (MRg-NIRST) Imaging System With Wearable Breast Optical Interface for Breast Cancer Imaging.

Mengyang Zhao, Xu Cao, Jinchao Feng, Mingwei Zhou, Chengpu Wei, Roberta diFlorio-Alexander, Brian W Pogue, Shudong Jiang, Keith D Paulsen

Abstract read
In one paragraph

Article in IEEE transactions on bio-medical engineering, 2025. 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. 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

9 authors.

Mengyang Zhao
Xu Cao
Jinchao Feng
Mingwei Zhou
Chengpu Wei
Roberta diFlorio-Alexander
Brian W Pogue
Shudong Jiang
Keith D Paulsen

Funding

Near Infrared Spectroscopy and ImagingP01CA080139 · NCI · DARTMOUTH COLLEGE · PI PAULSEN, KEITH D. · 1999 to 2010
$13.6M
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
3D wearable NIR spectral tomography for early prediction of breast cancer’s residual cancer burden after neoadjuvant chemotherapyR01CA291967 · NCI · DARTMOUTH COLLEGE · PI Shudong Jiang · 2024 to 2026
$2.6M
A Boundary Element Method for MRI/NIR Tomography and Image-guided FluorescenceR01EB007966 · NIBIB · DARTMOUTH COLLEGE · PI POGUE, BRIAN WILLIAM · 2008 to 2011
$1.4M
NIRFASTR01CA132750 · NCI · DARTMOUTH COLLEGE · PI POGUE, BRIAN WILLIAM · 2009 to 2012
$1.2M
NCI NIH HHS P01 CA080139NCI NIH HHS R01 CA132750NCI NIH HHS R01 CA291967NIBIB NIH HHS R01 EB007966NIBIB NIH HHS R01 EB027098
6 · The paper itself

Abstract

objectiveTo develop a novel Magnetic Resonance Imaging (MRI)-guided Near-Infrared Spectroscopic Tomography (MRg-NIRST) imaging system with an MRI-compatible breast optical interface for breast imaging.

methodsThe breast interface consists of eight flexible opto-electronic circuit strips, each equipped with six photodetectors and six side-firing fiber-probes. Concurrent MRI and NIRST data were acquired from a total of 2,304 source-detector positions at six wavelengths, enabling 3D MRg-NIRST image reconstruction of the entire breast. The system was validated through a series of phantom and normal subject studies.

resultsReconstructed images of phantoms with inclusions ranging 10-25 mm in diameter showed errors in the estimated inclusion diameter and contrast of total hemoglobin (HbT) within the inclusion relative to the background were ranged in [-7%, 12%] and [7%, 28%], respectively. HbT estimates from reconstructed images of nine normal subjects ranged between 8.0-l25.2 μM, align with previous imaging studies.

conclusionResults from both phantom and normal subject studies indicate that this system has the potential to be easily integrated into clinical practice for acquiring 3D MRg-NIRST images of the entire breast. SIGNIFICANCE: The flexibility of the wearable breast optical interface, along with the increased number of sources and detectors, has improved the optical accessibility for breasts of various sizes, shapes, and tumor locations. 3D MRg-NIRST image reconstruction, based on optical data collected from multiple source-detector layers across the entire breast, demonstrates that MRg-NIRST is ready to be tested clinically for its potential to enhance breast cancer detection alongside MRI.

Indexed as

Breast NeoplasmsMagnetic Resonance ImagingTomography, OpticalWearable Electronic DevicesAdultBreastEquipment DesignFemaleHumansImaging, Three-DimensionalPhantoms, ImagingSpectroscopy, Near-Infrared

Identifiers

PMID39412969
PMCPMC11922535

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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.