Evidence map›Paper›PMID 42158662›Full record

ArticleTranslational pediatrics2026

Comparison of DLIR-H and ASIR algorithms for image reconstruction in low-dose chest CT of pediatric mycoplasma pneumoniae pneumonia: a cross-sectional study.

Ying Zou, Hai Bi, Shouhong Yang, Ruishi Li, Junyan Tan, Qingwei Guo, Xiudi Lu, Jihua Liu

Abstract read
In one paragraph

Article in Translational pediatrics, 2026. 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

What it found

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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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No citing paper in PubMed yet.

4 · The record

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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

8 authors.

Ying Zou *Department of Radiology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Hai Bi *Department of Radiology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Shouhong YangDepartment of Radiology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Ruishi LiDepartment of Pediatrics, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Junyan TanDepartment of Radiology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Qingwei GuoDepartment of Radiology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Xiudi LuDepartment of Radiology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Jihua LiuDepartment of Radiology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Pediatric Methods: In this retrospective cross-sectional study, consecutive pediatric patients who underwent low-dose chest CT (September 2023-March 2024) who were positive for MP-IgM and negative for other respiratory pathogen antibodies were included; patients with incomplete data, poor scan cooperation or a body mass index (BMI) ≥25 kg/m Results: Among the 235 screened patients, 142 (77 males and 65 females) were included (8.427±3.706 years), with a mean BMI of 16.19±1.83 kg/m Conclusions: DLIR-H outperforms ASIR variants in low-dose pediatric chest CT, with minimal background noise, the highest lesion CNR and the best subjective quality at a clinically low effective dose, enhancing radiologists' diagnostic confidence and balancing radiation safety with imaging quality. Limitations include the retrospective design, DLIR-H's inferior lung parenchyma SNR, GE-only equipment compatibility, and unassessed MPP diagnostic accuracy. Prospective multicentre validation is required for broader clinical translation.

Indexed as

deep learningMycoplasma pneumoniaequalitative evaluationradiation dosageX-ray computed tomography

Identifiers

PMID42158662
PMCPMC13181691

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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.