Evidence map›Paper›PMID 29122471›Full record

ArticleAcademic radiology2017

3D Registration of mpMRI for Assessment of Prostate Cancer Focal Therapy.

Clément Orczyk, Andrew B Rosenkrantz, Artem Mikheev, Arnauld Villers, Myriam Bernaudin, Samir S Taneja, Samuel Valable, Henry Rusinek

Open access · greenAbstract read
In one paragraph

Article in Academic radiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 24% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
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

8 authors at 4 institutions in 3 countries.

Clément OrczykThe Prostate Unit, Department of Urology, University College London Hospitals, London, United Kingdom; Division of Urologic Oncology, Department of Urology, New York University Langone Medical Center, New York, NY; Normandie Université, UNICAEN, CEA, CNRS, ISTCT/CERVOxy Group, 14000Caen, France; Department of Urology, University Hospital of Caen, Caen, France. Electronic address: clementorczyk@yahoo.fr.
Andrew B RosenkrantzDepartment of Radiology, New York University Langone Medical Center, New York, NY.
Artem MikheevDepartment of Radiology, New York University Langone Medical Center, New York, NY.
Arnauld VillersDepartment of Urology, Université Lille Nord de France, Lille, France.
Myriam BernaudinNormandie Université, UNICAEN, CEA, CNRS, ISTCT/CERVOxy Group, 14000Caen, France.
Samir S TanejaDivision of Urologic Oncology, Department of Urology, New York University Langone Medical Center, New York, NY; Department of Radiology, New York University Langone Medical Center, New York, NY.
Samuel ValableNormandie Université, UNICAEN, CEA, CNRS, ISTCT/CERVOxy Group, 14000Caen, France.
Henry RusinekDepartment of Radiology, New York University Langone Medical Center, New York, NY.
NYU Langone Health · USNormandie Université · FRUniversité Lille Nord de France · FRUniversity College London · GB

Funding

Project-005UL1TR001445 · NCATS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BREDELLA, MIRIAM ANTOINETTE, HOCHMAN, JUDITH S · 2015 to 2025
$103.5M
INSTITUTIONAL CLINICAL AND TRANSLATIONAL SCIENCE AWARDUL1RR029893 · NCRR · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI CRONSTEIN, BRUCE NEIL · 2009 to 2011
$17.7M
NCATS NIH HHS UL1 TR001445NCRR NIH HHS UL1 RR029893
6 · The paper itself

Abstract

RATIONALE AND

objectivesThis study aimed to assess a novel method of three-dimensional (3D) co-registration of prostate magnetic resonance imaging (MRI) examinations performed before and after prostate cancer focal therapy. MATERIALS AND

methodsWe developed a software platform for automatic 3D deformable co-registration of prostate MRI at different time points and applied this method to 10 patients who underwent focal ablative therapy. MRI examinations were performed preoperatively, as well as 1 week and 6 months post treatment. Rigid registration served as reference for assessing co-registration accuracy and precision.

resultsSegmentation of preoperative and postoperative prostate revealed a significant postoperative volume decrease of the gland that averaged 6.49 cc (P = .017). Applying deformable transformation based on mutual information from 120 pairs of MRI slices, we refined by 2.9 mm (max. 6.25 mm) the alignment of the ablation zone, segmented from contrast-enhanced images on the 1-week postoperative examination, to the 6-month postoperative T2-weighted images. This represented a 500% improvement over the rigid approach (P = .001), corrected by volume. The dissimilarity by Dice index of the mapped ablation zone using deformable transformation vs rigid control was significantly (P = .04) higher at the ablation site than in the whole gland.

conclusionsOur findings illustrate our method's ability to correct for deformation at the ablation site. The preliminary analysis suggests that deformable transformation computed from mutual information of preoperative and follow-up MRI is accurate in co-registration of MRI examinations performed before and after focal therapy. The ability to localize the previously ablated tissue in 3D space may improve targeting for image-guided follow-up biopsy within focal therapy protocols.

Indexed as

Imaging, Three-DimensionalMagnetic Resonance ImagingAblation TechniquesAgedHumansImage EnhancementMaleProstatic NeoplasmsSoftwarebiopsydeformable registrationfocal therapyimage processinglongitudinal follow-upMRIProstate cancerthree dimensional

Identifiers

PMID29122471
PMCPMC6025844
OpenAlexW2767624637

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.