Evidence map›Paper›PMID 39329664›Full record

ArticleBioengineering (Basel, Switzerland)2024

Orbital Adipose Tissue: The Optimal Control for Back-Table Fluorescence Imaging of Orbital Tumors.

Lan Yao, Wenhua Zhang, Xuedong Wang, Lishuang Guo, Wenlu Liu, Yueyue Li, Rui Ma, Yan Hei, Xinji Yang, Zeyu Zhang and 1 more

Abstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 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

11 authors.

Lan YaoSenior Department of Ophthalmology, 3rd Medical Center of Chinese PLA General Hospital, Beijing 100143, China.ORCID 0009-0009-8647-8286
Wenhua ZhangResearch Center for Tissue Repair and Regeneration Affiliated to the Medical Innovation Research Division, 4th Medical Center of Chinese PLA General Hospital, Beijing 100048, China.
Xuedong WangBeijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing 102218, China.
Lishuang GuoKey Laboratory of Big Data-Based Precision Medicine, Ministry of Industry and Information Technology, Beijing 100191, China.
Wenlu LiuSenior Department of Ophthalmology, 3rd Medical Center of Chinese PLA General Hospital, Beijing 100143, China.
Yueyue LiSenior Department of Ophthalmology, 3rd Medical Center of Chinese PLA General Hospital, Beijing 100143, China.
Rui MaSenior Department of Ophthalmology, 3rd Medical Center of Chinese PLA General Hospital, Beijing 100143, China.
Yan HeiSenior Department of Ophthalmology, 3rd Medical Center of Chinese PLA General Hospital, Beijing 100143, China.
Xinji YangSenior Department of Ophthalmology, 3rd Medical Center of Chinese PLA General Hospital, Beijing 100143, China.
Zeyu ZhangKey Laboratory of Big Data-Based Precision Medicine, Ministry of Industry and Information Technology, Beijing 100191, China.
Wei WuSenior Department of Ophthalmology, 3rd Medical Center of Chinese PLA General Hospital, Beijing 100143, China.

Funding

Beijing Clinical Distinctive Diagnosis and Treatment Technology Research and Transformation Project Z221100007422089
6 · The paper itself

Abstract

Control tissue is essential for ensuring the precision of semiquantitative analysis in back-table fluorescence imaging. However, there remains a lack of agreement on the appropriate selection of control tissues. To evaluate the back-table fluorescence imaging performance of different normal tissues and identify the optimal normal tissue, a cohort of 39 patients with orbital tumors were enrolled in the study. Prior to surgery, these patients received indocyanine green (ICG) and following resection, 43 normal control tissues (34 adipose tissues, 3 skin tissues, 3 periosteal tissues, and 3 muscle tissues) were examined using back-table fluorescence imaging. The skin tissue demonstrated significantly elevated fluorescence intensity in comparison to the diseased tissue, whereas the muscle tissue exhibited a broad range and standard deviation of fluorescence signal intensity. Conversely, the adipose and periosteum displayed weak fluorescence signals with a relatively consistent distribution. Additionally, no significant correlations were found between the signal-to-background ratio (SBR) of adipose tissue and patients' ages, genders, weights, disease duration, tumor origins, dosing of administration of ICG infusion, and the time interval between ICG infusion and surgery. However, a positive correlation was observed between the SBR of adipose tissue and its size, with larger adipose tissues (>1 cm) showing an average SBR 27% higher than smaller adipose tissues (≤1 cm). In conclusion, the findings of this study demonstrated that adipose tissue consistently exhibited homogeneous hypofluorescence during back-table fluorescence imaging, regardless of patient clinical variables or imaging parameters. The size of the adipose tissue was identified as the primary factor influencing its fluorescence imaging characteristics, supporting its utility as an ideal control tissue for back-table fluorescence imaging.

Indexed as

back-table imagingfluorescence imagingimage-guided surgeryNIR-IIorbital tumor

Identifiers

PMID39329664
PMCPMC11428325

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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.