Evidence map›Paper›PMID 36100756›Full record

ArticleAbdominal radiology (New York)2022

Effect of changes in the menstrual cycle and age on the signal intensity of amide proton transfer imaging in the normal uterus: a preliminary study.

Ya-Qing Kong, Qian-Qian Qu, Lei Ming, Zhe Wang, Xiao-Tong Chi, Kai Deng

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Article in Abdominal radiology (New York), 2022. 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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4 · The record

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5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Ya-Qing KongDepartment of Radiology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, 16766# Jingshi road, 250014, Jinan, Shandong, People's Republic of China.
Qian-Qian QuDepartment of Radiology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, 16766# Jingshi road, 250014, Jinan, Shandong, People's Republic of China.
Lei MingDepartment of Radiology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, 16766# Jingshi road, 250014, Jinan, Shandong, People's Republic of China.
Zhe WangDepartment of Radiology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, 16766# Jingshi road, 250014, Jinan, Shandong, People's Republic of China.
Xiao-Tong ChiDepartment of Nuclear Medicine, Central Hospital Affiliated to Shandong First Medical University & Jinan Central Hospital, Jinan, Shandong, People's Republic of China.
Kai DengDepartment of Radiology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, 16766# Jingshi road, 250014, Jinan, Shandong, People's Republic of China. 289954749@qq.com.ORCID 0000-0003-4753-8564
Shandong Provincial QianFoShan Hospital · CNJinan Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo analyze the effect of changes in the menstrual cycle and age on the signal intensity of amide proton transfer (APT) imaging in normal uterine structures.

methodsThirty-one healthy females (age: 21-50 years old) underwent regular pelvic MRI and APT sequences during their menstrual cycle. The APT values of the endometrium, myometrium, and junctional zone were measured. One-way and multi-way analyses of variance were used to analyze the data. Intraindividual difference and Pearson's correlation analyses were also conducted.

resultsThe APT values of the uterine structures during the menstrual, proliferative, and secretory phases were 3.413 ± 0.682%, 4.776 ± 0.829%, and 5.218 ± 0.772% for the endometrium; 2.966 ± 0.533%, 3.597 ± 0.380%, and 4.324 ± 0.583% for the myometrium; and 1.703 ± 0.393%, 2.362 ± 0.486%, and 2.779 ± 0.528% for the junctional zone. The individual variation in the APT values of the normal uterus during the three menstrual phases was 1.1-1.7%.There were no significant differences in APT values of uterine structures with age. The APT values of the endometrium were greater than those of other structures (P < 0.05).The Pearson correlation coefficients between APT values of uterine structures and menstrual cycle were 0.686, 0.743, and 0.684, respectively.

conclusionThe menstrual cycle had a significant effect on the APT signal intensities of the uterine structures, whereas premenopausal age had no significant effect. Changes in the uterine structures during the menstrual cycle should be considered when using APT to diagnose suspected uterine lesions.

Indexed as

AmidesProtonsAdultDimapritFemaleHumansMagnetic Resonance ImagingMenstrual CycleMiddle AgedUterusYoung AdultAmidesAPTDimapritProtonsAgeAmide proton transfer imagingMagnetic resonance imagingMenstrual cycleUterus

Identifiers

PMID36100756
OpenAlexW4295421042

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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.