Evidence map›Paper›PMID 27283932›Full record

ArticleJournal of nuclear medicine : official publication, Society of Nuclear Medicine2016

Precision Nanomedicine Using Dual PET and MR Temperature Imaging-Guided Photothermal Therapy.

Min Zhou, Marites Melancon, R Jason Stafford, Junjie Li, Alpa M Nick, Mei Tian, Anil K Sood, Chun Li

Open access · bronzeAbstract read
In one paragraph

Article in Journal of nuclear medicine : official publication, Society of Nuclear Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.9field-weighted citation impact, top 15% of its field
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

10 citing papers in PubMed, 22 citations in OpenAlex.

  1. Review
  2. Copper in Gynecological Diseases.International journal of molecular sciences · 2023
    Review
  3. Review
  4. Radiolabeling of Theranostic Nanosystems.Advances in experimental medicine and biology · 2021
    Article
  5. Article
  6. Article
  7. Article
  8. The combined therapeutic effects ofActa pharmaceutica Sinica. B · 2018
    Article
  9. Theranostics · 2018
    Article
  10. Radiolabeled inorganic nanoparticles for positron emission tomography imaging of cancer: an overview.The quarterly journal of nuclear medicine and molecular imaging : official publication of the Italian Association of Nuclear Medicine (AIMN) [and] the International Association of Radiopharmacology (IAR), [and] Section of the Society of... · 2017
    Review
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

8 authors at 2 institutions in 2 countries.

Min ZhouDepartment of Cancer Systems Imaging, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Marites MelanconDepartment of Interventional Radiology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
R Jason StaffordDepartment of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Junjie LiDepartment of Cancer Systems Imaging, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Alpa M NickDepartment of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas; and.
Mei TianDepartment of Nuclear Medicine and PET Center, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Anil K SoodDepartment of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas; and.
Chun LiDepartment of Cancer Systems Imaging, The University of Texas MD Anderson Cancer Center, Houston, Texas cli@mdanderson.org.
The University of Texas MD Anderson Cancer Center · USSecond Affiliated Hospital of Zhejiang University · CN

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
Texas Center for Cancer NanomedicineU54CA151668 · NCI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI FERRARI, MAURO · 2010 to 2014
$12.4M
NCI NIH HHS P30 CA016672NCI NIH HHS U54 CA151668
6 · The paper itself

Abstract

Imaging-based techniques have enabled the direct integration of noninvasive imaging with minimally invasive interventions such as photothermal therapy (PTT) to improve the precision of treatment.

methodsWe investigated the feasibility of PTT for ovarian cancer under the guidance of PET and MR temperature imaging using copper sulfide nanoparticles (CuS NPs). The tumor distribution of the CuS NPs after systemic administration was assessed using highly sensitive, quantifiable PET imaging. Two wavelengths of near-infrared (NIR) lasers-808 and 980 nm-were tested for PTT using noninvasive MR temperature imaging real-time monitoring.

resultsThe in vivo studies revealed that the 980-nm NIR laser had better photothermal effects than the 808-nm NIR laser. These results were in accord with the histologic findings. In vivo PTT using CuS NPs combined with 980-nm laser irradiation achieved significant tumor ablation compared with no treatment control in both subcutaneous (P = 0.007) and orthotopic (P < 0.001) models of ovarian cancer with regard to the percentage of necrotic damage.

conclusionOur results indicate that real-time monitoring of the accuracy of PTT is a promising approach for future clinical translation of this emerging thermal ablation technique.

Indexed as

Metal NanoparticlesAnimalsCell Line, TumorCopperCopper RadioisotopesFemaleHumansHyperthermia, InducedLow-Level Light TherapyMagnetic Resonance ImagingMiceMice, NudeMultimodal ImagingOvarian NeoplasmsPositron-Emission TomographyPrecision MedicineCopperCopper RadioisotopesRadiopharmaceuticalsCuS nanoparticlesMRIovarian cancerPETphotothermal therapy

Identifiers

PMID27283932
PMCPMC5093070
OpenAlexW2418578144

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.