Correlation of Intravoxel Incoherent Motion and Diffusion Kurtosis <scp>MR</scp> Imaging Models With Reactive Stromal Grade in Prostate Cancer

Duan, Zhiqing; Fang, Shaobo; Hu, Jiawei; Tao, Juan; Zhang, Kai; Deng, Xiyang; Wang, Shaowu; Liu, Yajie

doi:10.1002/jmri.28546

Cited by 3 publications

(4 citation statements)

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“…It has also been previously reported that the utility of D app values is superior to that of ADC values in different organs of the body. [34][35][36] Like these previous studies, the present study found that D app values were higher than ADC values. 8,34 Limitations First, participants in the present study were women of reproductive age and the number was relatively small.…”

Section: Discussionsupporting

confidence: 86%

“…Meanwhile, there was error in the measurement of ADC values obtained by mono‐exponential fitting for images with b ‐values above 1000 sec/mm 2 . It has also been previously reported that the utility of D app values is superior to that of ADC values in different organs of the body 34–36 . Like these previous studies, the present study found that D app values were higher than ADC values 8,34 …”

Section: Discussionsupporting

confidence: 84%

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MR Diffusion Kurtosis Imaging (DKI) of the Normal Human Uterus in Vivo During the Menstrual Cycle

Li,

Chen,

et al. 2023

Magnetic Resonance Imaging

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BackgroundThe uterus undergoes dynamic changes throughout the menstrual cycle. Diffusion kurtosis imaging (DKI) is based on the non‐Gaussian distribution of water molecules and can perhaps represent the changes of uterine microstructure.PurposeTo investigate the temporal changes in DKI‐parameters of the normal uterine corpus and cervix during the menstrual cycle.Study TypeProspective.Population21 healthy female volunteers (26.64 ± 4.72 years) with regular menstrual cycles (28 ± 7 days).Field Strength/SequenceReadout segmentation of long variable echo‐trains (RESOLVE)‐based DKI and fast spin‐echo T2‐weighted sequences at 3.0T.AssessmentEach volunteer was scanned during the menstrual phase, ovulatory phase, and luteal phase. Regions of interest (ROI) were manually delineated in the endometrium, junctional zone, and myometrium of the uterine body, and in the mucosal layer, fibrous stroma layer, and loose stroma layer of the cervix. The mean Kapp (diffusion kurtosis coefficient), Dapp (diffusion coefficient), and ADC (apparent diffusion coefficient) values were measured in the ROI.Statistical TestsANOVA with Bonferroni or Tamhane correction. Intraclass correlation coefficient (ICC) for assessing agreement. P < 0.05 was considered statistically significant.ResultsDuring the menstrual cycle, the highest Kapp (0.848 ± 0.184) and lowest Dapp (1.263 ± 0.283 *10−3 mm2/sec) values were found in the endometrium during the menstrual phase. The Dapp values for the myometrium were significantly higher than those of the endometrium and the junctional zone in every phase. Meanwhile, the Dapp values for the three zonal structures of the cervix during ovulation were significantly higher than those during the luteal phase. However, there was no significant difference in the ADC values of the loose stroma between ovulation and the luteal phase (P = 0.568). The reproducibility of DKI parameters was good (ICC, 0.857–0.944).Data ConclusionDKI can show dynamic changes of the normal uterus during the menstrual cycle.Level of Evidence2Technical EfficacyStage 2

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Section: Discussionsupporting

confidence: 86%

Section: Discussionsupporting

confidence: 84%

MR Diffusion Kurtosis Imaging (DKI) of the Normal Human Uterus in Vivo During the Menstrual Cycle

Li,

Chen,

et al. 2023

Magnetic Resonance Imaging

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show abstract

“…It has been shown that both DKI and IVIM can provide important microstructural information for assessing disease progression and treatment response. [6][7][8] In the retrospective study by Duan et al, 9 DKI and IVIM parameters were investigated for the potential of predicting the RSG of prostate cancer. The study design was well controlled by co-registering MRI and ultrasound imaging to select regions of interest close to regions of biopsy.…”

mentioning

confidence: 99%

“…In the retrospective study by Duan et al, 9 DKI and IVIM parameters were investigated for the potential of predicting the RSG of prostate cancer. The study design was well controlled by co‐registering MRI and ultrasound imaging to select regions of interest close to regions of biopsy.…”

mentioning

confidence: 99%

Editorial for “Correlation of Intravoxel Incoherent Motion and Diffusion Kurtosis MR Imaging Models With Reactive Stromal Grade in Prostate Cancer”

Damen

Mouli

2022

Magnetic Resonance Imaging

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A Novel Approach for Patient Friendly System for Image Generation Using Bi-Lstm Based Deep Learning Model

Shoby,

Francis,

Raju

et al. 2024

Preprint

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Correlation of Intravoxel Incoherent Motion and Diffusion Kurtosis MR Imaging Models With Reactive Stromal Grade in Prostate Cancer

Cited by 3 publications

References 37 publications

MR Diffusion Kurtosis Imaging (DKI) of the Normal Human Uterus in Vivo During the Menstrual Cycle

MR Diffusion Kurtosis Imaging (DKI) of the Normal Human Uterus in Vivo During the Menstrual Cycle

Editorial for “Correlation of Intravoxel Incoherent Motion and Diffusion Kurtosis MR Imaging Models With Reactive Stromal Grade in Prostate Cancer”

A Novel Approach for Patient Friendly System for Image Generation Using Bi-Lstm Based Deep Learning Model

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