Evidence map›Paper›PMID 40331024›Full record

ArticleBiomedical optics (Washington, D.C.)2024

GigaFIBI; Rapid, Large-format Histology-resolution Imaging for Intraoperative Assessment of Breast Lumpectomy Margins.

Dena Sayrafi, Nate Anderson, Candice Sauder, Diana Miglioretti, Richard Levenson, Alexander Borowsky, Farzad Fereidouni

Abstract read
In one paragraph

Article in Biomedical optics (Washington, D.C.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Dena SayrafiDepartment of Pathology and Laboratory Medicine, University of California, Davis, 4400 V St, Sacramento, California, 95817, USA.
Nate AndersonDepartment of Pathology and Laboratory Medicine, University of California, Davis, 4400 V St, Sacramento, California, 95817, USA.
Candice SauderComprehensive Cancer Center, University of California, Davis, 2nd floor, 2279 45th St, Sacramento, California, 95817, USA.
Diana MigliorettiDepartment of Public Health Sciences, University of California, Davis, Medical Sciences 1C, Davis, California, 95616, USA.
Richard LevensonDepartment of Pathology and Laboratory Medicine, University of California, Davis, 4400 V St, Sacramento, California, 95817, USA.
Alexander BorowskyDepartment of Pathology and Laboratory Medicine, University of California, Davis, 4400 V St, Sacramento, California, 95817, USA.
Farzad FereidouniDepartment of Pathology and Laboratory Medicine, University of California, Davis, 4400 V St, Sacramento, California, 95817, USA.

Funding

3D Microscopy with Ultraviolet Surface Excitation (3D-MUSE)R01EB028635 · NIBIB · CASE WESTERN RESERVE UNIVERSITY · PI LEVENSON, RICHARD M., WILSON, DAVID LYNN · 2019 to 2023
$2.7M
Breast core-needle diagnostics in LMICs via millifluidics and direct-to-digital imaging: development and validation in GhanaU01CA269191 · NCI · UNIVERSITY OF WASHINGTON · PI RICHARD M. LEVENSON, Eric J Seibel · 2023 to 2026
$2.4M
IMAT-ITCR Collaboration: Combining FIBI and topological data analysis: Synergistic approaches for tumor structural microenvironment explorationR33CA278544 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI ICZKOWSKI, KENNETH A · 2023 to 2025
$988k
NCI NIH HHS R33 CA278544NCI NIH HHS U01 CA269191NIBIB NIH HHS R01 EB028635
6 · The paper itself

Abstract

GigaFIBI, an advancement of Fluorescence Imitating Brightfield Imaging (FIBI), displays significant promise in reducing positive margins and associated costs by capturing histology-grade images of 100×100 within minutes, offering intraoperative guidance.

Identifiers

PMID40331024
PMCPMC12055199

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.