Evidence map›Paper›PMID 40728552›Full record

ArticleLa Radiologia medica2025

Low-dose ultrahigh-resolution PCCT enhances subsolid nodule characterization.

Qinqin Yan, Fuhua Yan, Qi Lin, Qiqi Cao, Yajie Zhang, Xiaoyan Chen, Bernhard Schmidt, Zhihan Xu, Wenjie Yang

Abstract read
In one paragraph

Article in La Radiologia medica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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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

9 authors.

Qinqin Yan *Department of Radiology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, No.197, Ruijin Second Road, Huangpu District, Shanghai, China.
Fuhua Yan *Department of Radiology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, No.197, Ruijin Second Road, Huangpu District, Shanghai, China.
Qi LinDepartment of Radiology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, No.197, Ruijin Second Road, Huangpu District, Shanghai, China.
Qiqi CaoDepartment of Radiology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, No.197, Ruijin Second Road, Huangpu District, Shanghai, China.
Yajie ZhangDepartment of Thoracic Surgery, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, No.197, Ruijin Second Road, Huangpu District, Shanghai, China.
Xiaoyan ChenDepartment of Pathology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, No.197, Ruijin Second Road, Huangpu District, Shanghai, China.
Bernhard SchmidtSiemens Healthcare GmbH, Computed Tomography, Forchheim, Germany.
Zhihan XuDepartment of CT Collaboration, Siemens Healthineers Ltd, Shanghai, China.
Wenjie YangDepartment of Radiology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, No.197, Ruijin Second Road, Huangpu District, Shanghai, China. lisa_ywj@163.com.ORCID http://orcid.org/0000-0002-3959-5043

Funding

National Key Research and Development Program of China 2022YFC2401604
6 · The paper itself

Abstract

purposeTo characterize invasion-associated CT features in pulmonary subsolid nodules using low-dose ultrahigh-resolution (UHR) photon-counting CT (PCCT) images and evaluate UHR's diagnostic superiority over standard high-resolution (HR) images.

methodsPatients with subsolid lung adenocarcinoma were recruited for chest scan on PCCT to obtain UHR and standard HR images between November 2023 and May 2024. Nodule characteristics were visually assessed and histogram features were extracted from each nodule. Image quality and radiation dose at previous energy-integrating detector CT (EID-CT) of 30 patients were compared with those of PCCT. Differences between UHR and standard HR, PCCT and EID-CT were compared using paired McNemar-test or paired Wilcox-test.

resultsOne hundred and eighty-four patients with 203 subsolid nodules were collected including 77 precursors, 77 minimally invasive adenocarcinoma (MIA) and 49 IA. UHR significantly outperformed standard HR in revealing CT findings including larger nodular diameter and solid-component diameter, more frequency of heterogeneous attenuation, lobulation, bubble-like sign, air bronchogram, pleural indentation and vascular sign (all P < 0.05). Additionally, UHR images exhibited significantly greater value in histogram-derived parameters compared to standard HR images (all P < 0.05), except for "Median," "Minimum." Furthermore, the radiation dose in PCCT was half of that in EID-CT (effective dose: 1.32 ± 0.27 vs. 3.85 ± 1.65/mSv, P < 0.001. CDTI

conclusionThe UHR protocol on PCCT provides a magnified perspective to reveal CT characteristics of invasive growth in subsolid LUAD, previously undetectable on standard HR images, achieving halved radiation dose and better image quality than EID-CT.

Indexed as

Adenocarcinoma of LungLung NeoplasmsMultiple Pulmonary NodulesTomography, X-Ray ComputedAgedAged, 80 and overFemaleHumansMaleMiddle AgedRadiation DosageRetrospective StudiesLung adenocarcinomaPhoton-counting CTSubsolid nodulesUltrahigh resolution

Identifiers

PMID40728552
PMCPMC12367857

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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.