Evidence map›Paper›PMID 39575116›Full record

ArticleArXiv2024

Photon-Counting CT in Cancer Radiotherapy: Technological Advances and Clinical Benefits.

Keyur D Shah, Jun Zhou, Justin Roper, Anees Dhabaan, Hania Al-Hallaq, Amir Pourmorteza, Xiaofeng Yang

Abstract readPreprint
In one paragraph

Article in ArXiv, 2024. 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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Keyur D ShahDepartment of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA 30322.
Jun ZhouDepartment of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA 30322.
Justin RoperDepartment of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA 30322.
Anees DhabaanDepartment of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA 30322.
Hania Al-HallaqDepartment of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA 30322.
Amir PourmortezaDepartment of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA 30322.
Xiaofeng YangDepartment of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA 30322.

Funding

Translational and Clinical Trial Correlates CoreU54CA274513 · NCI · CLEVELAND CLINIC LERNER COM-CWRU · PI Timothy An-thy Chan · 2022 to 2026
$9.3M
eXtended Modular ANthropomorphic (XMAN) phantom for Imaging and Treatment Optimization in Radiotherapy.R01EB032680 · NIBIB · UNIVERSITY OF MARYLAND BALTIMORE · PI REN, LEI, YANG, XIAOFENG · 2022 to 2025
$2.4M
Real-time Volumetric Imaging for Motion Management and Dose Delivery VerificationR01CA272991 · NCI · EMORY UNIVERSITY · PI Zhen Tian, Xiaofeng Yang · 2023 to 2026
$2.3M
Intelligent and Personalized Online Adaptive Proton TherapyR01DE033512 · NIDCR · UNIVERSITY OF CHICAGO · PI Zhen Tian, Xiaofeng Yang · 2024 to 2026
$1.8M
NCI NIH HHS R01 CA272991NCI NIH HHS U54 CA274513NIBIB NIH HHS R01 EB032680NIDCR NIH HHS R01 DE033512
6 · The paper itself

Abstract

Photon-counting computed tomography (PCCT) marks a significant advancement over conventional energy-integrating detector (EID) CT systems. This review highlights PCCT's superior spatial and contrast resolution, reduced radiation dose, and multi-energy imaging capabilities, which address key challenges in radiotherapy, such as accurate tumor delineation, precise dose calculation, and treatment response monitoring. PCCT's improved anatomical clarity enhances tumor targeting while minimizing damage to surrounding healthy tissues. Additionally, metal artifact reduction (MAR) and quantitative imaging capabilities optimize workflows, enabling adaptive radiotherapy and radiomics-driven personalized treatment. Emerging clinical applications in brachytherapy and radiopharmaceutical therapy (RPT) show promising outcomes, although challenges like high costs and limited software integration remain. With advancements in artificial intelligence (AI) and dedicated radiotherapy packages, PCCT is poised to transform precision, safety, and efficacy in cancer radiotherapy, marking it as a pivotal technology for future clinical practice.

Indexed as

multi-energy CTPhoton-count CTradiotherapy

Identifiers

PMID39575116
PMCPMC11581100

What OpenQuestion holds

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LicenceCC BY
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.