Evidence map›Paper›PMID 41322076›Full record

ArticleTechnical innovations & patient support in radiation oncology2025

PrecisionPro Fusion: Clinical validation of an automated, rigid, Prostate-Specific MRI-CT Fusion system for prostate radiotherapy planning.

Deondre Do, Christopher Conlin, Madison Baxter, John Christodouleas, Robert Dess, Irena Dragojevic, Mukesh Harisinghani, Sophia Kamran, Vitali Moiseenko, Himanshu Nagar and 7 more

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In one paragraph

Article in Technical innovations & patient support in radiation oncology, 2025. 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
–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

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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.

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

17 authors.

Deondre DoDepartment of Bioengineering, University of California San Diego, La Jolla, CA, USA.
Christopher ConlinDepartment of Radiology, University of California San Diego, La Jolla, CA, USA.
Madison BaxterDepartment of Radiation Medicine, University of California San Diego, La Jolla, CA, USA.
John ChristodouleasDepartment of Radiation Oncology, University of Pennsylvania, Philadelphia, PA, USA.
Robert DessDepartment of Radiation Oncology, University of Michigan, Ann Arbor, MI, USA.
Irena DragojevicDepartment of Radiation Medicine, University of California San Diego, La Jolla, CA, USA.
Mukesh HarisinghaniDepartment of Radiation Oncology, Massachusetts General Hospital, Boston, MA, USA.
Sophia KamranDepartment of Radiation Oncology, Massachusetts General Hospital, Boston, MA, USA.
Vitali MoiseenkoDepartment of Radiation Medicine, University of California San Diego, La Jolla, CA, USA.
Himanshu NagarDepartment of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Nabih NakrourDepartment of Radiology, Massachusetts General Hospital, Boston, MA, USA.
Lily NguyenDepartment of Radiation Medicine, University of California San Diego, La Jolla, CA, USA.
Rhea RupareliyaDepartment of Radiation Medicine, University of California San Diego, La Jolla, CA, USA.
Steven SeyedinDepartment of Radiation Oncology, University of California San Francisco Medical Center, San Francisco, CA, USA.
Yuze SongDepartment of Radiation Medicine, University of California San Diego, La Jolla, CA, USA.
Anders M DaleDepartment of Radiology, University of California San Diego, La Jolla, CA, USA.
Tyler M SeibertDepartment of Bioengineering, University of California San Diego, La Jolla, CA, USA.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

Background: Accurate image registration between magnetic resonance imaging (MRI) and computed tomography (CT) is required for precise radiation therapy of prostate cancer. Manual registration methods have been identified as a significant barrier to the implementation of advanced treatment techniques such as focal boost therapy. Purpose: To evaluate the accuracy of PrecisionPro Fusion-an automated, rigid, prostate-specific MRI-CT registration pipeline- compared to manual registration by experienced radiation oncologists. Materials and Methods: We conducted a prospective, multi-institutional validation study involving six genitourinary radiation oncologists from three institutions who performed registrations on 20 patient cases. The study used a two-round design with a one-month washout period, where physicians conducted MRI-CT registrations with and without PrecisionPro Fusion. We compared PrecisionPro Fusion to practical accuracy limits of manual registration, defined by intra-physician variability (distance between a physician's two MRI-CT registrations of the same patient case) and inter-physician variability (maximum distance between a physician's registration and the physician consensus- average of all physicians' registrations of that patient case). Physician participants reported on the PrecisionPro Fusion user experience using a System Usability Scale questionnaire. Results: Intra-physician variability for manual subspecialist registrations was median 2.9 mm (IQR: 1.9, 5.4); inter-physician variability was median: 4.7 mm (4.3, 5.7). PrecisionPro Fusion registrations had median distance from the physician consensus of 1.3 mm (IQR: 0.9, 2.7). The system received high usability scores (median 81; IQR: 74, 88). Conclusion: PrecisionPro Fusion provides prostate MRI-CT registration accuracy comparable to manual physician registration. Automated, rigid, prostate-specific MRI-CT registration could enable faster delineation of structures visible on MRI, including the urethra and intraprostatic tumors.

Indexed as

Atlas-Based RegistrationMRI-CT RegistrationMultimodal imagingProstate cancerRadiation therapy

Identifiers

PMID41322076
PMCPMC12661108

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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.