Evidence map›Paper›PMID 41231365›Full record

ArticleAnnals of nuclear medicine2026

Resolution and quality enhancement of SPECT cerebral blood flow images using Pix2pix deep learning.

Nobuyuki Kudomi, Katsuya Mitamura, Yukito Maeda, Mitsumasa Murao, Masatoshi Morimoto, Akihiro Ohishi, Keigo Ohmori, Takashi Norikane, Yuri Manabe, Yuka Yamamoto and 1 more

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Article in Annals of nuclear medicine, 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

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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

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5 · Who and what money

Authors and funding

11 authors.

Nobuyuki KudomiDepartment of Medical Physics, Faculty of Medicine, Kagawa University, Ikenobe 1750-1, Miki-Cho, Kita-Gun, Takamatsu, Kagawa, 761-0793, Japan. kudomi.nobuyuki@kagawa-u.ac.jp.ORCID http://orcid.org/0000-0002-3456-8740
Katsuya MitamuraDepartment of Radiology, Faculty of Medicine, Kagawa University, Mikicho, Kagawa, Japan.
Yukito MaedaDepartment of Clinical Radiology, Kagawa University Hospital, Mikicho, Kagawa, Japan.
Mitsumasa MuraoDepartment of Radiology, Faculty of Medicine, Kagawa University, Mikicho, Kagawa, Japan.
Masatoshi MorimotoDepartment of Clinical Radiology, Kagawa University Hospital, Mikicho, Kagawa, Japan.
Akihiro OhishiDepartment of Clinical Radiology, Kagawa University Hospital, Mikicho, Kagawa, Japan.
Keigo OhmoriDepartment of Clinical Radiology, Kagawa University Hospital, Mikicho, Kagawa, Japan.
Takashi NorikaneDepartment of Radiology, Faculty of Medicine, Kagawa University, Mikicho, Kagawa, Japan.
Yuri ManabeDepartment of Radiology, Faculty of Medicine, Kagawa University, Mikicho, Kagawa, Japan.
Yuka YamamotoDepartment of Radiology, Faculty of Medicine, Kagawa University, Mikicho, Kagawa, Japan.
Yoshihiro NishiyamaDepartment of Radiology, Faculty of Medicine, Kagawa University, Mikicho, Kagawa, Japan.

Funding

Nihon Medi-Physics Investigator Initiated Study Support Program
6 · The paper itself

Abstract

backgroundCerebral blood flow (CBF) imaging can be performed using SPECT with

methodsSeventy-three patients with suspected cerebral ischemia underwent CBF imaging using SPECT (Symbia, with

resultsThe P2P-SPECT-CBF images demonstrated improved visual similarity to PET images, with an average score of 4.2 and 3.5 in open and blind assessments, respectively. The SSIM value of conventional SPECT images compared to PET was 0.79, while that of P2P images was 0.86 and those were significantly different, indicating enhanced structural similarity. In ROI analysis, the correlation between SPECT and PET CBF values was y = 0.13 + 0.63x, r = 0.77 (p < 0.01). The correlation between P2P-SPECT and PET was y = 0.10 + 0.65x, r = 0.78 (p < 0.01), and between P2P-SPECT and SPECT, the relationship was y = 0.01 + 0.89x, r = 0.86 (p < 0.01).

conclusionThe proposed method generated P2P-SPECT-CBF images with image contrast closely resembling that of PET-CBF, while preserving the quantitative properties of SPECT-CBF.

Indexed as

Cerebrovascular CirculationDeep LearningImage Processing, Computer-AssistedTomography, Emission-Computed, Single-PhotonAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedCBF imagePETPix2pixSPECT

Identifiers

PMID41231365

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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.