Evidence map›Paper›PMID 41060590›Full record

ArticleJapanese journal of radiology2026

Fractal analysis of dynamic stress myocardial CT perfusion decouples diagnostic accuracy for obstructive coronary artery disease from remote flow.

Florian Michallek, Satoshi Nakamura, Masafumi Takafuji, Naoki Nagasawa, Tairo Kurita, Kaoru Dohi, Hideki Ota, Kensuke Nishimiya, Ryo Ogawa, Takehito Shizuka and 7 more

Abstract readMulticenter Study
In one paragraph

Article in Japanese journal of radiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

17 authors.

Florian MichallekDepartment of Advanced Diagnostic Imaging, Mie University Graduate School of Medicine, 2-174, Edobashi, Tsu, Mie, 514-8507, Japan. florian-michallek@med.mie-u.ac.jp.ORCID http://orcid.org/0000-0002-5475-0873
Satoshi NakamuraDepartment of Advanced Diagnostic Imaging, Mie University Graduate School of Medicine, 2-174, Edobashi, Tsu, Mie, 514-8507, Japan.
Masafumi TakafujiDepartment of Radiology, Mie University Graduate School of Medicine, Tsu, Japan.
Naoki NagasawaDepartment of Radiology, Mie University Graduate School of Medicine, Tsu, Japan.
Tairo KuritaDepartment of Cardiology and Nephrology, Mie University Graduate School of Medicine, Tsu, Japan.
Kaoru DohiDepartment of Cardiology and Nephrology, Mie University Graduate School of Medicine, Tsu, Japan.
Hideki OtaDepartment of Diagnostic Radiology, Tohoku University Graduate School of Medicine, Sendai, Japan.
Kensuke NishimiyaDepartment of Cardiology, Tohoku University Graduate School of Medicine, Sendai, Japan.
Ryo OgawaDepartment of Radiology, Ehime University Graduate School of Medicine, Matsuyama, Japan.
Takehito ShizukaDepartment of Cardiology, National Hospital Organization Takasaki General Medical Center, Takasaki, Japan.
Hitoshi NakashimaDepartment of Cardiovascular Medicine, National Hospital Organization Kagoshima Medical Center, Kagoshima, Japan.
Naoki HatoriDepartment of Cardiology, National Hospital Organization Takasaki General Medical Center, Takasaki, Japan.
Yining WangDepartment of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Tatsuro ItoDepartment of Cardiovascular Medicine, Kobe University Graduate School of Medicine, Kobe, Japan.
Marc DeweyDepartment of Radiology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.
Hajime SakumaDepartment of Radiology, Mie University Graduate School of Medicine, Tsu, Japan.
Kakuya KitagawaDepartment of Advanced Diagnostic Imaging, Mie University Graduate School of Medicine, 2-174, Edobashi, Tsu, Mie, 514-8507, Japan.

Funding

Deutsche Forschungsgemeinschaft DE 1361/18-2Deutsche Forschungsgemeinschaft Ml 2272/1-2
6 · The paper itself

Abstract

purposeIn patients with reduced remote flow, dynamic stress CT perfusion imaging (CTP) has limited utility for detecting obstructive coronary artery disease (CAD). We compared fractal analysis, a descriptor of macro- and microvascular ischemia patterns, with relative myocardial blood flow (MBF) for detecting obstructive CAD stratified by remote flow. MATERIALS AND

methodsThis secondary analysis of the prospective multi-center AMPLIFiED trial included patients who underwent invasive coronary angiography (ICA) with fractional flow reserve (FFR) and dynamic stress CTP. Obstructive CAD was defined invasively (stenosis ≥ 90% or FFR < 0.8). We assessed diagnostic accuracy of fractal analysis and relative MBF in patient groups subdivided into high, intermediate, and low remote flow.

resultsIn 148 patients (30% female; 416 vessels), obstructive CAD was present in 71/148 patients (48%), while signs of microvascular ischemia were found in 26/148 patients (prevalence in high, intermediate, low remote flow: 9%, 37%, 70%). Fractal analysis outperformed relative MBF in detecting obstructive CAD (patient-based sensitivity and specificity: 94% and 92% versus 80% and 64%, p < 0.005). In vessel-based subgroup analysis, both methods performed comparably in high remote flow (area under the receiver-operating curve [AUC]: 0.94 versus 0.88, p = 0.45), while fractal analysis outperformed relative MBF in intermediate and low remote flow (AUC: 0.93 versus 0.77, p = 0.004; 0.92 versus 0.6, p < 0.001).

conclusionFractal analysis eliminates reliance on remote flow for CTP imaging, which improves diagnostic accuracy for obstructive CAD particularly in patients with reduced remote flow or microvascular ischemia.

trial registrationThis study reports about data from the prospective, multi-center AMPLIFiED trial (UMIN000016353).

Indexed as

Computed Tomography AngiographyCoronary Artery DiseaseFractalsMyocardial Perfusion ImagingTomography, X-Ray ComputedAgedCoronary AngiographyCoronary CirculationFemaleFractional Flow Reserve, MyocardialHumansMaleMiddle AgedProspective StudiesSensitivity and SpecificityComputed tomographyCoronary artery diseaseFractalsMicrovascular ischemiaMyocardial perfusion imaging

Identifiers

PMID41060590
PMCPMC12860818

What OpenQuestion holds

Textmetadata
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.