Evidence map›Paper›PMID 26171414›Full record

ArticleJournal of medical imaging (Bellingham, Wash.)2015

Prostate cancer diagnosis: the feasibility of needle-based optical coherence tomography.

Berrend G Muller, Daniel M de Bruin, Willemien van den Bos, Martin J Brandt, Juliette F Velu, Mieke T J Bus, Dirk J Faber, Dilara Savci, Patricia J Zondervan, Theo M de Reijke and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of medical imaging (Bellingham, Wash.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
4.0field-weighted citation impact, top 6% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

  1. Pooled it
  2. Article
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  5. Article
  6. Review
  7. Spatio-temporal deep learning models for tip force estimation during needle insertion.International journal of computer assisted radiology and surgery · 2019
    Article
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  11. Journal of medical imaging (Bellingham, Wash.) · 2018
    Article
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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

13 authors at 2 institutions in 1 country.

Berrend G MullerUniversity of Amsterdam , Academic Medical Center, Department of Urology, Meibergdreef 9, Amsterdam 1105 AZ, The Netherlands.
Daniel M de BruinUniversity of Amsterdam , Academic Medical Center, Department of Urology, Meibergdreef 9, Amsterdam 1105 AZ, The Netherlands ; University of Amsterdam , Academic Medical Center, Department of Biomedical Engineering and Physics, Meibergdreef 9, Amsterdam 1105 AZ, The Netherlands.
Willemien van den BosUniversity of Amsterdam , Academic Medical Center, Department of Urology, Meibergdreef 9, Amsterdam 1105 AZ, The Netherlands.
Martin J BrandtUniversity of Amsterdam , Academic Medical Center, Department of Biomedical Engineering and Physics, Meibergdreef 9, Amsterdam 1105 AZ, The Netherlands.
Juliette F VeluUniversity of Amsterdam , Academic Medical Center, Department of Biomedical Engineering and Physics, Meibergdreef 9, Amsterdam 1105 AZ, The Netherlands.
Mieke T J BusUniversity of Amsterdam , Academic Medical Center, Department of Urology, Meibergdreef 9, Amsterdam 1105 AZ, The Netherlands.
Dirk J FaberUniversity of Amsterdam , Academic Medical Center, Department of Biomedical Engineering and Physics, Meibergdreef 9, Amsterdam 1105 AZ, The Netherlands.
Dilara SavciUniversity of Amsterdam , Academic Medical Center, Department of Pathology, Meibergdreef 9, Amsterdam 1105 AZ, The Netherlands.
Patricia J ZondervanUniversity of Amsterdam , Academic Medical Center, Department of Urology, Meibergdreef 9, Amsterdam 1105 AZ, The Netherlands.
Theo M de ReijkeUniversity of Amsterdam , Academic Medical Center, Department of Urology, Meibergdreef 9, Amsterdam 1105 AZ, The Netherlands.
Pilar Laguna PesUniversity of Amsterdam , Academic Medical Center, Department of Urology, Meibergdreef 9, Amsterdam 1105 AZ, The Netherlands.
Jean de la RosetteUniversity of Amsterdam , Academic Medical Center, Department of Urology, Meibergdreef 9, Amsterdam 1105 AZ, The Netherlands.
Ton G van LeeuwenUniversity of Amsterdam , Academic Medical Center, Department of Biomedical Engineering and Physics, Meibergdreef 9, Amsterdam 1105 AZ, The Netherlands.
Academic Medical Center · NLUniversity of Amsterdam · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of this study is to demonstrate the feasibility of needle-based optical coherence tomography (OCT) and functional analysis of OCT data along the full pullback trajectory of the OCT measurement in the prostate, correlated with pathology. OCT images were recorded using a commercially available C7-XR™ OCT Intravascular Imaging System interfaced to a C7 Dragonfly™ intravascular 0.9-mm-diameter imaging probe. A computer program was constructed for automated image attenuation analysis. First, calibration of the OCT system for both the point spread function and the system roll-off was achieved by measurement of the OCT signal attenuation from an extremely weakly scattering medium (Intralipid® 0.0005 volume%). Second, the data were arranged in 31 radial wedges (pie slices) per circular segments consisting of 16 A-scans per wedge and 5 axial B-scans, resulting in an average A-scan per wedge. Third, the decay of the OCT signal is analyzed over 50 pixels ([Formula: see text]) in depth, starting from the first found maximum data point. Fourth, for visualization, the data were grouped with a corresponding color representing a specific [Formula: see text] range according to their attenuation coefficient. Finally, the analyses were compared to histopathology. To ensure that each single use sterile imaging probe is comparable to the measurements of the other imaging probes, the probe-to-probe variations were analyzed by measuring attenuation coefficients of 0.03, 6.5, 11.4, 17, and 22.7 volume% Intralipid®. Experiments were repeated five times per probe for four probes. Inter- and intraprobe variation in the measured attenuation of Intralipid samples with scattering properties similar to that of the prostate was [Formula: see text] of the mean values. Mean attenuation coefficients in the prostate were [Formula: see text] for parts of the tissue that were classified as benign (SD: [Formula: see text], minimum: [Formula: see text], maximum: [Formula: see text]) and [Formula: see text] for parts of tissue that were classified as malignant (SD: [Formula: see text], minimum: [Formula: see text], maximum: [Formula: see text]). In benign areas, the tissue looked homogeneous, whereas in malignant areas, small glandular structures were seen. However, not all areas in which a high attenuation coefficient became apparent corresponded to areas of prostate cancer. This paper describes the first in-tissue needle-based OCT imaging and three-dimensional optical attenuation analysis of prostate tissue that indicates a correlation with pathology. Fully automated attenuation coefficient analysis was performed at 1300 nm over the full pullback. Correlation with pathology was achieved by coregistration of three-dimensional (3-D) OCT attenuation maps with 3-D pathology of the prostate. This may contribute to the current challenge of prostate imaging and the rising interest in focal therapy for reduction of side effects occurring with current therapies.

Indexed as

diagnosisimagingoptical coherence tomographyprostate cancer

Identifiers

PMID26171414
PMCPMC4498002
OpenAlexW1809212998

What OpenQuestion holds

Textmetadata
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.