Evidence map›Paper›PMID 40492912›Full record

ReviewRadiology2025

Future Applications of Cardiothoracic CT.

Mark L Schiebler, Masahiro Jinzaki, Masahiro Yanagawa, Amir Pourmorteza, Yoshitake Yamada, Yoko Kato, Noriaki Wada, Cornelia Schaefer-Prokop, Vincent Dousset, Noriyuki Tomiyama and 3 more

Abstract readReview
In one paragraph

Review in Radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Article
  6. 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

13 authors.

Mark L SchieblerDepartment of Radiology, University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, Madison, WI 53792.ORCID 0000-0002-9120-5428
Masahiro JinzakiDepartment of Radiology, Keio University School of Medicine, Tokyo, Japan.ORCID 0000-0002-8241-6565
Masahiro YanagawaDepartment of Radiology, Graduate School of Medicine, Osaka University, Suita, Japan.ORCID 0000-0002-0911-6769
Amir PourmortezaDepartment of Radiology and Imaging Sciences, Emory University, Atlanta, Ga.
Yoshitake YamadaDepartment of Radiology, Keio University School of Medicine, Tokyo, Japan.ORCID 0000-0002-5842-5349
Yoko KatoDivision of Cardiology, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Md.ORCID 0000-0002-4328-1987
Noriaki WadaDepartment of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.ORCID 0009-0001-1727-293X
Cornelia Schaefer-ProkopDepartment of Radiology, Radboud University Nijmegen Medical Centre, Nijmegen, the Netherlands.ORCID 0000-0002-3394-2980
Vincent DoussetUniversité Bordeaux, INSERM, CHU Bordeaux, Bordeaux, France.ORCID 0000-0003-0427-3236
Noriyuki TomiyamaDiagnostic and Interventional Radiology, Department of Radiology, Osaka University Graduate School of Medicine, Suita, Japan.ORCID 0000-0001-9918-7327
Mathias ProkopDepartment of Radiology, Radboud University Nijmegen Medical Centre, Nijmegen, the Netherlands.ORCID 0000-0001-8157-8055
João A LimaDivision of Cardiology, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, Md.ORCID 0000-0001-8756-6995
Hiroto HatabuCenter for Pulmonary Functional Imaging, Department of Radiology, Brigham and Women's Hospital and Harvard Medical School, Boston, Mass.

Funding

The Boston Lung Cancer Survival CohortU01CA209414 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI David C Christiani · 2017 to 2026
$12.2M
Clinical Genetics and Screening for Pulmonary FibrosisR01HL130974 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI GARY MATTHEW HUNNINGHAKE, Benjamin Alexander Raby · 2016 to 2026
$10.0M
Genetic and Genomic Characterization of the Occurrence and Progression of Interstitial Lung AbnormalitiesR01HL135142 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI MICHAEL H. CHO, GARY MATTHEW HUNNINGHAKE · 2017 to 2026
$7.7M
Interstitial Lung Abnormalities: Defining the Phenotype, Causes, and Consequences.R01HL111024 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI HUNNINGHAKE, GARY MATTHEW · 2013 to 2022
$6.4M
Automated in vivo analysis of tumor growth rate as a guide for therapeutic decisions to advance personalized cancer treatmentR01CA203636 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI NISHINO, MIZUKI · 2017 to 2021
$2.9M
NCI NIH HHS R01 CA203636NCI NIH HHS U01 CA209414NHLBI NIH HHS R01 HL111024NHLBI NIH HHS R01 HL130974NHLBI NIH HHS R01 HL135142
6 · The paper itself

Abstract

Radiologists are witnessing astonishing innovation and advancement of CT technologies and their clinical applications. This review highlights how photon-counting CT (PCCT), upright CT, and artificial intelligence (AI) may impact cardiothoracic CT applications for imaging and diagnosis. PCCT relies on new detectors that can bin the separate photon energies and allow for lower radiation dose and better spatial resolution. The clinical applications of PCCT in the coronary arteries are becoming the new standard for cardiac CT imaging. New upright CT has shown the benefits of imaging in the upright position and offers new insight into how the upright position affects biomechanics and physiology. Four-dimensional CT, which can be used to directly image perfusion, is challenging MRI and MR angiography for primacy in this area. The burgeoning role of AI and informatics is changing the way radiologists interpret and report many imaging examinations. The future is bright and promises lower radiation and intravenous contrast agent doses and higher spatial resolution, and will further incorporate deep learning to improve the effectiveness of CT.

Indexed as

Radiography, ThoracicTomography, X-Ray ComputedArtificial IntelligenceHumansRadiation Dosage

Identifiers

PMID40492912
PMCPMC12207641

What OpenQuestion holds

Textmetadata
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.