Evidence map›Paper›PMID 35003858›Full record

ArticleBiomedical optics express2021

Performance assessment of MRI guided continuous wave near-infrared spectral tomography for breast imaging.

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

Abstract read
In one paragraph

Article in Biomedical optics express, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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  5. 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.

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.ORCID https://orcid.org/0000-0001-7396-7886
Brian W PogueThayer School of Engineering, Dartmouth College, NH 03755, USA.ORCID https://orcid.org/0000-0002-9887-670X
Keith D PaulsenThayer School of Engineering, Dartmouth College, NH 03755, USA.

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
FREQUENCY DOMAIN OPTICAL IMAGING OF BREAST CANCERR01CA069544 · NCI · DARTMOUTH COLLEGE · PI PAULSEN, KEITH D. · 1996 to 2012
$2.4M
Monitoring Neoadjuvant Chemotherapy Responses with NIR TomographyR01CA176086 · NCI · DARTMOUTH COLLEGE · PI JIANG, SHUDONG · 2014 to 2018
$2.0M
NCI NIH HHS R01 CA069544NCI NIH HHS R01 CA176086NIBIB NIH HHS R01 EB027098
6 · The paper itself

Abstract

Integration of magnetic resonance imaging (MRI) and near-infrared spectral tomography (NIRST) has yielded promising diagnostic performance for breast imaging in the past. This study focused on whether MRI-guided NIRST can quantify hemoglobin concentration using only continuous wave (CW) measurements. Patients were classified into four breast density groups based on their MRIs. Optical scattering properties were assigned based on average values obtained from these density groups, and MRI-guided NIRST images were reconstructed from calibrated CW data. Total hemoglobin (HbT) contrast between suspected lesions and surrounding normal tissue was used as an indicator of the malignancy. Results obtained from simulations and twenty-four patient cases indicate that the diagnostic power when using only CW data to differentiate malignant from benign abnormalities is similar to that obtained from combined frequency domain (FD) and CW data. These findings suggest that eliminating FD detection to reduce the cost and complexity of MRI-guided NIRST is possible.

Identifiers

PMID35003858
PMCPMC8713687

What OpenQuestion holds

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Registered trials

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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.