Evidence map›Paper›PMID 40402289›Full record

ArticleEuropean radiology2025

Dynamic perfusion area-detector CT in non-small cell lung cancer with progressive fibrosing interstitial lung disease.

Yoshiharu Ohno, Yasuko Fujisawa, Takeshi Yoshikawa, Shinichiro Seki, Daisuke Takenaka, Kenji Fujii, Yuya Ito, Hirona Kimata, Naruomi Akino, Hiroyuki Nagata and 3 more

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Article in European radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Yoshiharu OhnoDepartment of Diagnostic Radiology, Fujita Health University School of Medicine, Toyoake, Japan. yohno@fujita-hu.ac.jp.ORCID http://orcid.org/0000-0002-4431-1084
Yasuko FujisawaCanon Medical Systems Corporation, Otawara, Japan.
Takeshi YoshikawaDepartment of Diagnostic Radiology, Fujita Health University School of Medicine, Toyoake, Japan.
Shinichiro SekiDivision of Functional and Diagnostic Imaging Research, Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Japan.
Daisuke TakenakaDepartment of Diagnostic Radiology, Fujita Health University School of Medicine, Toyoake, Japan.
Kenji FujiiCanon Medical Systems Corporation, Otawara, Japan.
Yuya ItoCanon Medical Systems Corporation, Otawara, Japan.
Hirona KimataCanon Medical Systems Corporation, Otawara, Japan.
Naruomi AkinoCanon Medical Systems Corporation, Otawara, Japan.
Hiroyuki NagataJoint Research Laboratory of Advanced Medical Imaging, Fujita Health University School of Mediciine, Toyoake, Japan.
Masahiko NomuraDepartment of Diagnostic Radiology, Fujita Health University School of Medicine, Toyoake, Japan.
Takahiro UedaDepartment of Diagnostic Radiology, Fujita Health University School of Medicine, Toyoake, Japan.
Yoshiyuki OzawaDepartment of Diagnostic Radiology, Fujita Health University School of Medicine, Toyoake, Japan.

Funding

Ministry of Education, Culture, Sports, Science and Technology JSTS.KAKEN; No. 20K08037
6 · The paper itself

Abstract

objectivesTo determine the capability of dynamic contrast-enhanced (CE-) perfusion area-detector CT (ADCT) for detecting pathological structural changes in stage I non-small cell lung cancer (NSCLC) patients. MATERIALS AND

methodsSixty-three consecutive stage I NSCLC patients with progressive fibrosing interstitial lung disease (PF-ILD) underwent dynamic CE-perfusion ADCT analyzed by dual-input maximum slope (DMS) methods for total, pulmonary arterial and systemic arterial perfusion (TP

resultsPAP

conclusionDynamic CE-perfusion ADCT is useful for detecting pathological structural changes in stage I NSCLC patients with PF-ILD. KEY POINTS: Question Can dynamic first-pass contrast-enhanced perfusion matrices evaluate parenchymal lung changes and disease severity of parenchymal diseases in stage I non-small cell lung cancer (NSCLC) patients? Findings Perfusion indexes differentiated significantly among normal lung, emphysema, GGO or reticular pattern without traction bronchiectasis, reticular pattern with traction bronchiectasis and honeycombing and significantly improved discrimination accuracy by combined methods. Clinical relevance Dynamic first-pass contrast-enhanced perfusion area-detector CT has the potential to assess underlying pathologies and pulmonary functional changes in stage I non-small cell carcinoma patients with progressive fibrosing interstitial lung disease.

Indexed as

Carcinoma, Non-Small-Cell LungLung Diseases, InterstitialLung NeoplasmsTomography, X-Ray ComputedAgedContrast MediaDisease ProgressionFemaleHumansMaleMiddle AgedNeoplasm StagingContrast MediaLungLung diseases (interstitial)PerfusionPerfusion imagingTomography (X-ray computed)

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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.