Evidence map›Paper›PMID 25676898›Full record

ArticleJournal of biophotonics2015

Handheld photoacoustic probe to detect both melanoma depth and volume at high speed in vivo.

Yong Zhou, Guo Li, Liren Zhu, Chiye Li, Lynn A Cornelius, Lihong V Wang

Abstract read
In one paragraph

Article in Journal of biophotonics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
–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

30 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Efficient label-freePhotoacoustics · 2023
    Article
  5. Article
  6. Article
  7. Review
  8. Seeing through the Skin: Photoacoustic Tomography of Skin Vasculature and Beyond.JID innovations : skin science from molecules to population health · 2021
    Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Photoacoustic image-guided interventions.Experimental biology and medicine (Maywood, N.J.) · 2020
    Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

6 authors.

Yong Zhou *Washington University in St. Louis, Department of Biomedical Engineering, Optical Imaging Laboratory, 1 Brookings Drive, Campus Box 1097, St. Louis, Missouri 63130.
Guo Li *Washington University in St. Louis, Department of Biomedical Engineering, Optical Imaging Laboratory, 1 Brookings Drive, Campus Box 1097, St. Louis, Missouri 63130.
Liren ZhuWashington University in St. Louis, Department of Biomedical Engineering, Optical Imaging Laboratory, 1 Brookings Drive, Campus Box 1097, St. Louis, Missouri 63130.
Chiye LiWashington University in St. Louis, Department of Biomedical Engineering, Optical Imaging Laboratory, 1 Brookings Drive, Campus Box 1097, St. Louis, Missouri 63130.
Lynn A CorneliusWashington University School of Medicine, Division of Dermatology, 660 S. Euclid, Campus Box 8123, St. Louis, Missouri 63110.
Lihong V WangWashington University in St. Louis, Department of Biomedical Engineering, Optical Imaging Laboratory, 1 Brookings Drive, Campus Box 1097, St. Louis, Missouri 63130.

Funding

PHOTON TUNNELING: SHEDDING NEW LIGHT ON BIOMEDICINEDP1EB016986 · NIBIB · WASHINGTON UNIVERSITY · PI WANG, LIHONG · 2012 to 2016
$3.8M
IN VIVO IMAGING OF SINGLE CIRCULATING CELLSR01CA186567 · NCI · WASHINGTON UNIVERSITY · PI WANG, LIHONG · 2013 to 2017
$3.6M
21ST CENTURY IMAGING SCIENCES: GRADUATE STUDENT TRAININGT32EB014855 · NIBIB · WASHINGTON UNIVERSITY · PI JOSEPH P CULVER, JOSEPH A O'SULLIVAN · 2012 to 2026
$3.1M
PHOTOACOUSTIC MICROSCOPY OF NEOVASCULARIZATION IN RENAL CANCER GROWTH AND THERAPYR01CA159959 · NCI · WASHINGTON UNIVERSITY · PI ARBEIT, JEFFREY MICHAEL · 2011 to 2015
$2.9M
WHOLE-BODY SMALL-ANIMAL PHOTOACOUSTIC-ULTRASONIC COMPUTED TOMOGRAPHYR01EB016963 · NIBIB · WASHINGTON UNIVERSITY · PI ANASTASIO, MARK A · 2013 to 2016
$2.4M
HIGH-FREQUENCY ULTRASONIC AND PHOTOACOUSTIC IMAGING SYSTEMS10RR026922 · NCRR · WASHINGTON UNIVERSITY · PI WANG, LIHONG · 2011 to 2011
$599k
NCCDPHP CDC HHS DP1 EB016986NCI NIH HHS R01 CA159959NCI NIH HHS R01 CA186567NCRR NIH HHS S10 RR026922NIBIB NIH HHS DP1 EB016986NIBIB NIH HHS R01 EB016963NIBIB NIH HHS T32 EB014855
6 · The paper itself

Abstract

We applied a linear-array-based photoacoustic probe to detect melanin-containing melanoma tumor depth and volume in nude mice in vivo. This system can image melanomas at five frames per second (fps), which is much faster than our previous handheld single transducer system (0.1 fps). We first theoretically show that, in addition to the higher frame rate, almost the entire boundary of the melanoma can be detected by the linear-array-based probe, while only the horizontal boundary could be detected by the previous system. Then we demonstrate the ability of this linear-array-based system in measuring both the depth and volume of melanoma through phantom, ex vivo, and in vivo experiments. The volume detection ability also enables us to accurately calculate the rate of growth of the tumor, which is an important parameter in quantifying the tumor activity. Our results show that this system can be used for clinical melanoma diagnosis and treatment in humans at the bedside. Linear-array-based PA images of melanoma acquired in vivo on day 3 (a) and day 6 (b).

Indexed as

AnimalsCell Line, TumorComputer SimulationDiagnostic ImagingEquipment DesignMelaninsMelanoma, ExperimentalMice, NudeNeoplasm TransplantationPhantoms, ImagingPhotoacoustic TechniquesSkinSkin NeoplasmsTumor BurdenMelaninshandheldmelanomaphotoacousticrate of growth

Identifiers

PMID25676898
PMCPMC4530093

What OpenQuestion holds

Textmetadata
LicenceTDM
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.