Evidence map›Paper›PMID 40328288›Full record

ReviewPhysics in medicine and biology2025

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

Registry-linked trialAbstract readReview
In one paragraph

Review in Physics in medicine and biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07730203 (Photon-Counting Computed Tomography-Based Urethral Visualization Without Catheterization for Radiotherapy Planning), which is not on this map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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.

NCT07730203 recruitingnot on this mapstarted 2026, after this paper: background citation

Photon-Counting Computed Tomography-Based Urethral Visualization Without Catheterization for Radiotherapy Planning: A Prospective Pilot Study Under ANTHEM

TypeobservationalSponsorIstituto Clinico HumanitasRan2026 to 2026Enrolled20ConditionsProstate CancerArmsimage acquisition
3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. [Effectiveness of innervated medial plantar flap for reconstruction of soft tissue defects following foot tumor resection].Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2025
    Article
  8. Article
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, United States of America.ORCID 0000-0002-0886-655X
Jun ZhouDepartment of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA 30322, United States of America.ORCID 0000-0002-6078-9424
Justin RoperDepartment of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA 30322, United States of America.
Anees DhabaanDepartment of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA 30322, United States of America.
Hania Al-HallaqDepartment of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA 30322, United States of America.
Amir PourmortezaDepartment of Radiology and Imaging Sciences and Winship Cancer Institute, Emory University, Atlanta, GA 30322, United States of America.
Xiaofeng YangDepartment of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA 30322, United States of America.ORCID 0000-0001-9023-5855

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
NCI NIH HHS R01 CA272991NCI NIH HHS U54 CA274513NIBIB NIH HHS R01 EB032680
6 · The paper itself

Abstract

Photon-counting computed tomography (PCCT) marks a significant advancement over conventional Energy-integrating detector 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 and quantitative imaging capabilities optimize workflows, enabling ART and radiomics-driven personalized treatment. Emerging clinical applications in brachytherapy and radiopharmaceutical therapy show promising outcomes, although challenges like high costs and limited software integration remain. With advancements in artificial intelligence 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

NeoplasmsPhotonsTomography, X-Ray ComputedHumansRadiotherapy, Image-Guidedmulti-energy CTphoton-count CTradiotherapy

Identifiers

PMID40328288
PMCPMC12086776

What OpenQuestion holds

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Registered trials

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.