Evidence map›Paper›PMID 26923140›Full record

ArticleMinimally invasive therapy & allied technologies : MITAT : official journal of the Society for Minimally Invasive Therapy2016

Automatic bone removal for 3D TACE planning with C-arm CBCT: Evaluation of technical feasibility.

Zhijun Wang, Eberhard Hansis, Rongxin Chen, Rafael Duran, Julius Chapiro, Yun Robert Sheu, Hicham Kobeiter, Michael Grass, Jean-François Geschwind, MingDe Lin

Abstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Minimally invasive therapy & allied technologies : MITAT : official journal of the Society for Minimally Invasive Therapy, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

10 authors.

Zhijun Wanga Russell H. Morgan Department of Radiology and Radiological Science, Division of Vascular and Interventional Radiology , The Johns Hopkins Hospital , Baltimore , MD , USA ;
Eberhard Hansisc Philips Research , Hamburg , Germany ;
Rongxin Chena Russell H. Morgan Department of Radiology and Radiological Science, Division of Vascular and Interventional Radiology , The Johns Hopkins Hospital , Baltimore , MD , USA ;
Rafael Durana Russell H. Morgan Department of Radiology and Radiological Science, Division of Vascular and Interventional Radiology , The Johns Hopkins Hospital , Baltimore , MD , USA ;
Julius Chapiroa Russell H. Morgan Department of Radiology and Radiological Science, Division of Vascular and Interventional Radiology , The Johns Hopkins Hospital , Baltimore , MD , USA ;
Yun Robert Sheua Russell H. Morgan Department of Radiology and Radiological Science, Division of Vascular and Interventional Radiology , The Johns Hopkins Hospital , Baltimore , MD , USA ;
Hicham Kobeiterd Service d'Imagerie Médicale, Unité de Radiologie interventionnelle et thérapeutique Vasculaire et Oncologique, Université Paris-Est Créteil, Assistance Publique-Hôpitaux de Paris, Centre Hospitalo-Universitaire Henri Mondor , France ;
Michael Grassc Philips Research , Hamburg , Germany ;
Jean-François Geschwinde Yale University School of Medicine, Department of Radiology and Biomedical Imaging , New Haven , CT , USA ;
MingDe Line Yale University School of Medicine, Department of Radiology and Biomedical Imaging , New Haven , CT , USA ;

Funding

Translational Research Central ServicesP30CA006973 · NCI · JOHNS HOPKINS UNIVERSITY · PI Rosalie Wollett · 1985 to 2026
$208.6M
See, Reach, Treat Tumor-Optimized Transarterial Chemoembolization DrugDeliveryR01CA160771 · NCI · YALE UNIVERSITY · PI GESCHWIND, JEAN-FRANCOIS H, LIN, MINGDE · 2011 to 2015
$2.6M
NCI NIH HHS P30 CA006973NCI NIH HHS R01 CA160771
6 · The paper itself

Abstract

purposeTo evaluate the technical feasibility of automatically removing the ribs and spine from C-arm cone-beam computed tomography (CBCT) images acquired during transcatheter arterial chemoembolization (TACE). MATERIAL AND

methodsFifty-eight patients (45.8 ± 5.0 years) with unresectable hepatocellular carcinoma (HCC) underwent transcatheter arterial chemoembolization and had intraprocedural CBCT imaging. Automatic bone removal was performed using model-based segmentation of the ventral cavity. Two interventional radiologists independently evaluated the performance of bone removal, remaining soft tissue retention, and general usability (where both the bone is appropriately removed while retaining soft tissue) for 3D TACE planning on a four-level (complete/excellent, adequate/good, incomplete/questionable, insufficient/bad) score. The proportion of inter-reader agreement was calculated.

resultsFor ribs and spine removal, 98.3-100% and 100% of cases showed complete or adequate performance, respectively. In 96.6% of the cases, soft tissue was at least adequately retained. 91.3-93.1% of the cases demonstrated good or excellent general usability for TACE planning. Satisfactory inter-reader agreement proportion was achieved in ribs (93.1%) and spine removal (89.7%), soft tissue retention (84.5%), and general usability for TACE planning (72.4%).

conclusionIntraprocedural automatic bone removal on CBCT images is technically feasible and offers good removal of ribs and spine while preserving soft tissue. Its clinical value needs further assessment.

Indexed as

AdultCarcinoma, HepatocellularChemoembolization, TherapeuticCone-Beam Computed TomographyFeasibility StudiesFemaleHumansImaging, Three-DimensionalLiver NeoplasmsMaleMiddle AgedRetrospective StudiesRibsSpineautomatic bone removalcone-beam computed tomographyHepatocellular carcinomathree-dimensionaltranscatheter arterial chemoembolization

Identifiers

PMID26923140
PMCPMC4833567

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.