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Record W2739197067

Radiation effects on tumour microcirculation assessed by high-frequency power doppler micro-ultrasound imaging in mice

2008· article· en· W2739197067 on OpenAlexaff
Clinton Hupple, Anoja Giles, F. Stuart Foster, Peter N. Burns, C. Shun Wong, Gregory J. Czarnota

Bibliographic record

VenueCancer Research · 2008
Typearticle
Languageen
FieldEngineering
TopicUltrasound and Hyperthermia Applications
Canadian institutionsSunnybrook Health Science Centre
Fundersnot available
KeywordsUltrasoundMedicineHaematoxylinCD31Radiation therapyMicrocirculationPathologyBlood flowNuclear medicineMicrobubblesImmunohistochemistryRadiology
DOInot available

Abstract

fetched live from OpenAlex

5768 Recent evidence suggests that radiation may have very significant effects on tumour vasculature in addition to damaging the DNA inside tumour cells. We have previously demonstrated that with large doses (>8 Gy) that there can be large macroscopic areas of apoptotic death that develop in response to therapy. In this study we test the hypothesis that large doses of radiation (8Gy) have significant effects on blood flow and tumour microvasculature and that these effects can be detected and measured non-invasively by high-frequency power Doppler ultrasound vascular imaging.
 Human PC3 prostate cancer xenograft-bearing SCID mice were exposed to 8 Gy irradiation with 160 kVp X-rays at a dose rate of 200 cGy/minute given in one fraction. Four animals were irradiated and four animals served as sham controls. Tumours were assessed before any treatment and 24 hours after the administration of radiation by high-frequency spectroscopic ultrasound imaging for cell death detection and then with power Doppler imaging at 20 MHz frequency to image blood flow. A VisualSonics VEVO-770 RF enabled high-frequency ultrasound device was used with a RMV-710B probe to acquire three-dimensional ultrasound data sets were collected. Ultrasound data sets were analyzed using custom written software and standard two-dimensional image processing tools. Tumours were subsequently removed after animal sacrifice for histological and immunohistochemistry-based analyses. Representative tumour sections were haematoxylin and eosin stained, TUNEL stained for apoptotic cell death and CD31 stained for endothelial distributions.
 Three-dimensional power Doppler analyses indicated heterogeneous distributions within tumours before and after treatment. Results with radiation treatments indicated significant changes between vascular imaging parameters before and after 8Gy radiation doses. Specifically, power Doppler estimated % vascularity dropped within 0.18 to 0.35 of original measurements. Analyses of vascular signals indicated that all detected vessel sizes were evenly affected by the radiation treatments. Additionally, within the tumours the number of power Doppler signals dropped with radiation by 25 to 50%. Preliminary histological analyses indicate that radiation effects were linked to apoptotic perturbations of tumour vasculature endothelial cells. This is consistent with an approximate 10 dB increase in total ultrasound backscatter power at 20 MHz.
 This work indicated that 8 Gy doses had significant effects on tumour vasculature as assessed by high-frequency power Doppler. Experimental evidence suggests that this vascular response may be linked to endothelial cell apoptosis ultimately leading to tumour cell death as demonstrated by histology and indicated by the increase in backscattered ultrasound power.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.296
Teacher spread0.279 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2008
Admission routes1
Has abstractyes

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