Effects of Slice Thickness and Matrix Size on MRI for Signal Detection

Ogura, Akio; Maeda, Fumie; Miyai, Akira; Kikumoto, Rikiya

doi:10.6009/jjrt.kj00003943075

Cited by 16 publications

(14 citation statements)

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“…All the pooled values of the group with a scanning slice thickness of 3 mm indicated that reducing the scanning slice thickness of MRI may improve the diagnostic accuracy of cystic renal masses, and the diagnostic accuracy could exceed that of CEUS. However, some studies revealed that thin slices can increase the detection of the signal but decrease the signal-to-noise ratio (36). Therefore, the appropriate MRI slice thickness for the diagnosis of cystic renal masses still needs further exploration.…”

Section: Discussionmentioning

confidence: 99%

Comparison of contrast-enhanced ultrasound with MRI in the diagnosis of complex cystic renal masses: a meta-analysis

et al. 2018

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Background The differential diagnosis of cystic renal masses still faces great challenges. There has been no systematically assessment to compare the value of contrast-enhanced ultrasound (CEUS) with magnetic resonance imaging (MRI) in the diagnosis of cystic renal masses. Purpose To perform a meta-analysis to compare the diagnostic efficacy of CEUS with that of MRI for cystic renal masses. Material and Methods A systematic search was performed for literature evaluating the diagnostic performance of CEUS or MRI in cystic renal masses. Quality assessment of diagnostic studies 2 (QUADAS-2) was used to evaluate the quality of each study included. The pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and the areas under the summary receiver operating characteristic (AUCs-SROC) curve for CEUS and MRI were calculated, respectively. Results Seventeen studies with 1142 lesions were included. The pooled sensitivity, specificity, positive likelihood ratio, and negative likelihood ratio for CEUS /MRI were 0.95/0.92, 0.84/0.91, 5.62/6.74, and 0.09/0.13, respectively. The AUCs-SROC curves for the two methods were 95.66% and 94.65%. The subgroup analysis indicated that the scanning slice thickness may influence the diagnostic efficacy of MRI. Conclusion Both CEUS and MRI have good diagnostic performance for cystic renal masses and can provide the reference for clinicians. CEUS is more sensitive but less specific than MRI.

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Section: Discussionmentioning

confidence: 99%

Comparison of contrast-enhanced ultrasound with MRI in the diagnosis of complex cystic renal masses: a meta-analysis

et al. 2018

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“…In clinical practice, 3 mm slice thickness MRI is routinely used 12 – 14 . However, the thickened slices lead to the partial volume averaging effect 15 , 16 , which may result in insufficient delineation of the tumour and adjacent anatomical structures. Reducing the slice thickness has been difficult because it decreases signal-to-noise ratio (SNR), degrades image quality 17 , and decreases diagnostic accuracy 18 , 19 .…”

Section: Introductionmentioning

confidence: 99%

Deep learning-based thin-section MRI reconstruction improves tumour detection and delineation in pre- and post-treatment pituitary adenoma

Lee

Park

Nam

et al. 2021

Sci Rep

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Even a tiny functioning pituitary adenoma could cause symptoms; hence, accurate diagnosis and treatment are crucial for management. However, it is difficult to diagnose a small pituitary adenoma using conventional MR sequence. Deep learning-based reconstruction (DLR) using magnetic resonance imaging (MRI) enables high-resolution thin-section imaging with noise reduction. In the present single-institution retrospective study of 201 patients, conducted between August 2019 and October 2020, we compared the performance of 1 mm DLR MRI with that of 3 mm routine MRI, using a combined imaging protocol to detect and delineate pituitary adenoma. Four readers assessed the adenomas in a pairwise fashion, and diagnostic performance and image preferences were compared between inexperienced and experienced readers. The signal-to-noise ratio (SNR) was quantitatively assessed. New detection of adenoma, achieved using 1 mm DLR MRI, was not visualised using 3 mm routine MRI (overall: 6.5% [13/201]). There was no significant difference depending on the experience of the readers in new detections. Readers preferred 1 mm DLR MRI over 3 mm routine MRI (overall superiority 56%) to delineate normal pituitary stalk and gland, with inexperienced readers more preferred 1 mm DLR MRI than experienced readers. The SNR of 1 mm DLR MRI was 1.25-fold higher than that of the 3 mm routine MRI. In conclusion, the 1 mm DLR MRI achieved higher sensitivity in the detection of pituitary adenoma and provided better delineation of normal pituitary gland than 3 mm routine MRI.

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Section: Patient Preparation and Technical Tipsmentioning

confidence: 99%

“…Matrix size should be increased to improve image resolution [36], and the field of view should be increased to reduce the presence of aliasing artifacts [37]. However, a larger matrix size results in decreased signal-to-noise ratio and a longer scan time [36]. Therefore, the optimal matrix size should be determined in each institute, and the scan time should be approximately 5 min per MRI sequence.…”

Section: Patient Preparation and Technical Tipsmentioning

confidence: 99%

Useful MRI Findings for Minimally Invasive Surgery for Early Cervical Cancer

Park

Kim

2021

Cancers

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According to the recent International Federation of Gynecology and Obstetrics (FIGO) staging system, Stage III cervical cancer indicates pelvic or paraaortic lymph node metastasis. Accordingly, the new FIGO stage accepts imaging modalities, such as MRI, as part of the FIGO 2018 updated staging. Magnetic resonance imaging (MRI) is the best imaging modality to estimate the size or volume of uterine cancer because of its excellent soft tissue contrast. As a result, MRI is being used increasingly to determine treatment options and follow-up for cervical cancer patients. Increasing availability of cancer screening and vaccination have improved early detection of cervical cancer. However, the incidence of early cervical cancers has increased compared to that of advanced cervical cancer. A few studies have investigated if MRI findings are useful in management of early cervical cancer. MRI can precisely predict tumor burden, allowing conization, trachelectomy, and simple hysterectomy to be considered as minimally invasive treatment options for early cervical cancer. This imaging modality also can be used to determine whether there is recurrent cancer following minimally invasive treatments. The purpose of this review is to highlight useful MRI features for managing women with early cervical cancer.

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Effects of Slice Thickness and Matrix Size on MRI for Signal Detection

Cited by 16 publications

References 0 publications

Comparison of contrast-enhanced ultrasound with MRI in the diagnosis of complex cystic renal masses: a meta-analysis

Comparison of contrast-enhanced ultrasound with MRI in the diagnosis of complex cystic renal masses: a meta-analysis

Deep learning-based thin-section MRI reconstruction improves tumour detection and delineation in pre- and post-treatment pituitary adenoma

Useful MRI Findings for Minimally Invasive Surgery for Early Cervical Cancer

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