Evidence map›Paper›PMID 37442128›Full record

ArticlePhysics in medicine and biology2023

A hybrid method of correcting CBCT for proton range estimation with deep learning and deformable image registration.

Jinsoo Uh, Chuang Wang, Jacob A Jordan, Fakhriddin Pirlepesov, Jared B Becksfort, Ozgur Ates, Matthew J Krasin, Chia-Ho Hua

Open access · hybridAbstract read
In one paragraph

Article in Physics in medicine and biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 14% 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, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Recent advances in applying machine learning to proton radiotherapy.Biomedical physics & engineering express · 2025
    Pooled it
  2. Article
  3. 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

8 authors at 1 institution in 1 country.

Jinsoo UhDepartment of Radiation Oncology, St. Jude Children's Research Hospital, Memphis, TN, United States of America.ORCID 0000-0001-6837-8681
Chuang WangDepartment of Radiation Oncology, St. Jude Children's Research Hospital, Memphis, TN, United States of America.
Jacob A JordanDepartment of Radiation Oncology, St. Jude Children's Research Hospital, Memphis, TN, United States of America.
Fakhriddin PirlepesovDepartment of Radiation Oncology, St. Jude Children's Research Hospital, Memphis, TN, United States of America.
Jared B BecksfortDepartment of Radiation Oncology, St. Jude Children's Research Hospital, Memphis, TN, United States of America.
Ozgur AtesDepartment of Radiation Oncology, St. Jude Children's Research Hospital, Memphis, TN, United States of America.
Matthew J KrasinDepartment of Radiation Oncology, St. Jude Children's Research Hospital, Memphis, TN, United States of America.
Chia-Ho HuaDepartment of Radiation Oncology, St. Jude Children's Research Hospital, Memphis, TN, United States of America.
St. Jude Children's Research Hospital · US

Funding

PROFESSIONAL ONCOLOGY EDUCATION PROGRAMR25CA023944 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI SUZANNE A. GRONEMEYER · 1986 to 2026
$8.3M
NCI NIH HHS R25 CA023944
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Deep LearningSpiral Cone-Beam Computed TomographyCarmustineChildCone-Beam Computed TomographyHumansImage Processing, Computer-AssistedProtonsRadiotherapy DosageRadiotherapy Planning, Computer-AssistedCarmustineProtonsadaptive replanningCBCTCycleGANdeep learningdeformable image registrationproton therapysynthetic CT

Identifiers

PMID37442128
PMCPMC10846632
OpenAlexW4384153950

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.