Evidence map›Paper›PMID 25964710›Full record

ArticleProceedings of SPIE--the International Society for Optical Engineering2015

Context-specific method for detection of soft-tissue lesions in non-cathartic low-dose dual-energy CT colonography.

Janne J Näppi, Daniele Regge, Hiroyuki Yoshida

Open access · greenAbstract read
In one paragraph

Article in Proceedings of SPIE--the International Society for Optical Engineering, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 47% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

3 authors at 2 institutions in 1 country.

Janne J Näppi3D Imaging Research, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, 25 New Chardon Street, Suite 400C, Boston, MA 02114, USA.
Daniele ReggeInstitute for Cancer Research and Treatment, Strada Provinciale 142, IT-10060 Candiolo, Turin, Italy.
Hiroyuki Yoshida3D Imaging Research, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, 25 New Chardon Street, Suite 400C, Boston, MA 02114, USA.
Harvard University · USMassachusetts General Hospital · US

Funding

Computerized Detection of Polyps in CT ColonographyR01CA095279 · NCI · UNIVERSITY OF CHICAGO · PI YOSHIDA, HIROYUKI · 2003 to 2013
$3.3M
Cloud-computer-aided diagnostic imaging decision support systemR01CA166816 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI YOSHIDA, HIROYUKI · 2012 to 2015
$1.9M
Early diagnosis of colon cancer with computer-aided multi-energy CT colonographyR03CA182107 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI NAPPI, JANNE JOHANNES · 2014 to 2015
$174k
Dual-energy Electronic-cleansing CT Colonography for Colon Cancer ScreeningR03CA156664 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI YOSHIDA, HIROYUKI · 2012 to 2013
$169k
NCI NIH HHS R01 CA095279NCI NIH HHS R01 CA166816NCI NIH HHS R03 CA156664NCI NIH HHS R03 CA182107
6 · The paper itself

Abstract

In computed tomographic colonography (CTC), orally administered fecal-tagging agents can be used to indicate residual feces and fluid that could otherwise hide or imitate lesions on CTC images of the colon. Although the use of fecal tagging improves the detection accuracy of CTC, it can introduce image artifacts that may cause lesions that are covered by fecal tagging to have a different visual appearance than those not covered by fecal tagging. This can distort the values of image-based computational features, thereby reducing the accuracy of computer-aided detection (CADe). We developed a context-specific method that performs the detection of lesions separately on lumen regions covered by air and on those covered by fecal tagging, thereby facilitating the optimization of detection parameters separately for these regions and their detected lesion candidates to improve the detection accuracy of CADe. For pilot evaluation, the method was integrated into a dual-energy CADe (DE-CADe) scheme and evaluated by use of leave-one-patient-out evaluation on 66 clinical non-cathartic low-dose dual-energy CTC (DE-CTC) cases that were acquired at a low effective radiation dose and reconstructed by use of iterative image reconstruction. There were 22 colonoscopy-confirmed lesions ≥6 mm in size in 21 patients. The DE-CADe scheme detected 96% of the lesions at a median of 6 FP detections per patient. These preliminary results indicate that the use of context-specific detection can yield high detection accuracy of CADe in non-cathartic low-dose DE-CTC examinations.

Indexed as

Computer-aided detectiondual-energy CTfalse-positive reductionnoncathartic preparationpolyp detectionvirtual colonoscopy

Identifiers

PMID25964710
PMCPMC4425267
OpenAlexW1508576554

What OpenQuestion holds

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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.