Evidence map›Paper›PMID 27226985›Full record

ArticleOncoscience2016

Quantitative ultrasound imaging of therapy response in bladder cancer in vivo.

William T Tran, Lakshmanan Sannachi, Naum Papanicolau, Hadi Tadayyon, Azza Al Mahrouki, Ahmed El Kaffas, Alborz Gorjizadeh, Justin Lee, Gregory J Czarnota

Open access · diamondAbstract read
In one paragraph

Article in Oncoscience, 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
2.0field-weighted citation impact, top 10% 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, 18 citations in OpenAlex.

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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

9 authors at 5 institutions in 2 countries.

William T TranSunnybrook Health Sciences Centre, Department of Radiation Oncology, Toronto Canada; Sheffield Hallam University, Centre for Health and Social Care Research, Sheffield UK.
Lakshmanan SannachiSunnybrook Health Sciences Centre, Department of Radiation Oncology, Toronto Canada; University of Toronto, Department of Medical Biophysics, Toronto Canada.
Naum PapanicolauSunnybrook Health Sciences Centre, Department of Radiation Oncology, Toronto Canada; Ryerson University, Department of Computer Science, Toronto Canada.
Hadi TadayyonSunnybrook Health Sciences Centre, Department of Radiation Oncology, Toronto Canada; University of Toronto, Department of Medical Biophysics, Toronto Canada.
Azza Al MahroukiSunnybrook Health Sciences Centre, Department of Radiation Oncology, Toronto Canada.
Ahmed El KaffasSunnybrook Health Sciences Centre, Department of Radiation Oncology, Toronto Canada.
Alborz GorjizadehSunnybrook Health Sciences Centre, Department of Radiation Oncology, Toronto Canada.
Justin LeeSunnybrook Health Sciences Centre, Department of Radiation Oncology, Toronto Canada; University of Toronto, Department of Radiation Oncology, Toronto Canada.
Gregory J CzarnotaSunnybrook Health Sciences Centre, Department of Radiation Oncology, Toronto Canada; University of Toronto, Department of Medical Biophysics, Toronto Canada; University of Toronto, Department of Radiation Oncology, Toronto Canada.
Health Sciences Centre · CASunnybrook Health Science Centre · CASheffield Hallam University · GBToronto Metropolitan University · CAUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsQuantitative ultrasound (QUS) was investigated to monitor bladder cancer treatment response in vivo and to evaluate tumor cell death from combined treatments using ultrasound-stimulated microbubbles and radiation therapy.

methodsTumor-bearing mice (n=45), with bladder cancer xenografts (HT- 1376) were exposed to 9 treatment conditions consisting of variable concentrations of ultrasound-stimulated Definity microbubbles [nil, low (1%), high (3%)], combined with single fractionated doses of radiation (0 Gy, 2 Gy, 8 Gy). High frequency (25 MHz) ultrasound was used to collect the raw radiofrequency (RF) data of the backscatter signal from tumors prior to, and 24 hours after treatment in order to obtain QUS parameters. The calculated QUS spectral parameters included the mid-band fit (MBF), and 0-MHz intercept (SI) using a linear regression analysis of the normalized power spectrum. RESULTS AND

conclusionsThere were maximal increases in QUS parameters following treatments with high concentration microbubbles combined with 8 Gy radiation: (ΔMBF = +6.41 ± 1.40 (±SD) dBr and SI= + 7.01 ± 1.20 (±SD) dBr. Histological data revealed increased cell death, and a reduction in nuclear size with treatments, which was mirrored by changes in quantitative ultrasound parameters. QUS demonstrated markers to detect treatment effects in bladder tumors in vivo.

Indexed as

quantitative ultrasoundradiation therapyultrasoundvascular disrupting agents

Identifiers

PMID27226985
PMCPMC4872650
OpenAlexW2401690392

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.