Turbo Gradient and Spin Echo PROPELLER-Diffusion Weighted Imaging for Orbital Tumors: A Comparative Study With Readout-Segmented Echo-Planar Imaging

Fu, Qing; Kong, Xiaodong; Dingxi, Liu; Zhou, Kun; Guo, Yihao; Zhang, Lei; Zheng, Chuansheng; Yang, Fan

doi:10.3389/fnins.2021.755327

Cited by 9 publications

(4 citation statements)

References 34 publications

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“…Several studies have used TGSE-BLADE DWI to reduce geometric distortion and susceptibility artifact in regions where strong magnetic susceptibility presents 20 , 24 – 26 . However, it remains unknown whether TGSE-BLADE DWI can reduce clip-induced artifact and improve image quality in patients who have undergone cerebral aneurysm clipping.…”

Section: Introductionmentioning

confidence: 99%

Comparison of TGSE-BLADE DWI, RESOLVE DWI, and SS-EPI DWI in healthy volunteers and patients after cerebral aneurysm clipping

Okuchi

Fushimi

Yoshida

et al. 2022

Sci Rep

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Diffusion-weighted magnetic resonance imaging is prone to have susceptibility artifacts in an inhomogeneous magnetic field. We compared distortion and artifacts among three diffusion acquisition techniques (single-shot echo-planar imaging [SS-EPI DWI], readout-segmented EPI [RESOLVE DWI], and 2D turbo gradient- and spin-echo diffusion-weighted imaging with non-Cartesian BLADE trajectory [TGSE-BLADE DWI]) in healthy volunteers and in patients with a cerebral aneurysm clip. Seventeen healthy volunteers and 20 patients who had undergone surgical cerebral aneurysm clipping were prospectively enrolled. SS-EPI DWI, RESOLVE DWI, and TGSE-BLADE DWI of the brain were performed using 3 T scanners. Distortion was the least in TGSE-BLADE DWI, and lower in RESOLVE DWI than SS-EPI DWI near air–bone interfaces in healthy volunteers (P < 0.001). Length of clip-induced artifact and distortion near the metal clip were the least in TGSE-BLADE DWI, and lower in RESOLVE DWI than SS-EPI DWI (P < 0.01). Image quality scores for geometric distortion, susceptibility artifacts, and overall image quality in both healthy volunteers and patients were the best in TGSE-BLADE DWI, and better in RESOLVE DWI than SS-EPI DWI (P < 0.001). Among the three DWI sequences, image quality was the best in TGSE-BLADE DWI in terms of distortion and artifacts, in both healthy volunteers and patients with an aneurysm clip.

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Section: Introductionmentioning

confidence: 99%

Comparison of TGSE-BLADE DWI, RESOLVE DWI, and SS-EPI DWI in healthy volunteers and patients after cerebral aneurysm clipping

Okuchi

Fushimi

Yoshida

et al. 2022

Sci Rep

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“…Readout-segmented echo-planar imaging (RESOLVE) has been proposed to signi cantly reduce image distortion and improve the image signal-to-noise ratio of diffusion-weighted imaging (DWI) and apparent diffusion coe cient (ADC) in head and neck small lesions by reducing the echo interval [19,20]. Histogram analysis and texture analysis based on RESOLVE ADC have been used for noninvasive assessment of tumor response after neoadjuvant chemoradiotherapy (CRT) in locally advanced rectal cancer [21,22].…”

Section: Introductionmentioning

confidence: 99%

“…Li et al used radiomics features of targeted LNs based on multi-objective T2W images to predict LNM and reached an AUC of 0.92, with sensitivity of 89.8% and speci city of 82.3%[18]. Several previous studies have demonstrated that the sequence of RESOLVE could signi cantly reduce image distortion and improve the image quality by reducing the echo interval[19,20]. This high-resolution sequence has thinner slice thickness and higher image signal-to-noise ratio compared to conventional DWI, which may be bene cial in accurately delineating the high-signal area of primary tumor, while locating and detecting pathologically con rmed LNs node by node.…”

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confidence: 99%

Radiomics based on RESOLVE ADC in differentiating benign and malignant lymph nodes in rectal cancer

Wang

Dai

Bai

et al. 2022

Preprint

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Background The preoperative prediction of lymph node (LN) metastasis (LNM) in rectal cancer assumes a pivotal role in risk stratification and therapeutic decision-making. This study aimed to construct and validate a clinical-radiomics nomogram in non-invasively predicting LNM based on readout segmentation of long variable echo-trains (RESOLVE) apparent diffusion coefficient (ADC). Methods This retrospective study included preoperative images of 206 rectal cancer patients, containing 261 pathologically confirmed LNs, at our hospital between August 2018 and February 2022. There were 144 patients (55 in the LNM group and 89 in the non-LNM group) with 182 LNs (76 metastatic LNs and 106 benign LNs) in the training cohort and 62 patients (25 in the LNM group and 37 in the non-LNM group) with 79 LNs (31 metastatic LNs and 48 benign LNs) in the validation cohort. Image segmentation was performed by manually delineating the whole tumor and the maximum cross-section of each LN. The maximum-relevance and minimum-redundancy (mRMR) and least absolute shrinkage and selection operator (LASSO) methods were used to construct radiomics signature. Logistic regression modeling was employed to construct models based on clinical factors and LN morphologic criteria (model 1), tumor radiomics features combined with LN radiomics features (model 2), and model 2 combined with model 1 (model 3). Then model 3 was converted as a form of clinical-radiomics nomogram. Diagnostic performance was assessed by the area under the curve (AUC). The DeLong test was conducted to compare AUCs between models. Decision curve analysis (DCA) was performed to assess the clinical usefulness of three models. Results Both model 2 and model 3 showed higher AUCs in the training (model 2 0.930, model 3 0.948) and validation cohorts (model 2 0.864, model 3 0.887) than model 1(training 0.742; validation 0.745). Model 3 showed improved diagnostic performance over model 2 (P = 0.049) and model 1(P < 0.001) in the training cohort. The DCA indicated that model 3 was regarded as the candidate model to identify LN status. Conclusions The clinical-radiomics nomogram, incorporating RESOLVE ADC based-radiomic features from tumors and LNs with clinical factors and LN morphologic criteria was promising for predicting LNM in rectal cancer.

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“…Recently, TGSE BLADE DWI was shown to significantly reduce distortion, blurring, and magnetic-sensitive artifacts (10). This technique has been used to visualize orbital tumors, cerebellopontine angle tumors, and sinonasal lesions on 3T magnetic resonance images (MRI) (11–13). Recently, it has been confirmed that TGSE BLADE DWI possesses superior image quality in cholesteatoma imaging and may have a unique role in identifying particularly small cholesteatomas (14).…”

mentioning

confidence: 99%

Accuracy of 2D BLADE Turbo Gradient- and Spin-Echo Diffusion Weighted Imaging for the Diagnosis of Primary Middle Ear Cholesteatoma

Lin

Sha

Sheng

et al. 2022

Otology &Amp; Neurotology

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ObjectiveTo evaluate the diagnostic accuracy of 2D BLADE turbo gradient- and spin-echo diffusion weighted imaging (TGSE BLADE DWI) for primary middle ear cholesteatoma diagnosis, using qualitative and quantitative methods.Study DesignRetrospective case series.SettingUniversity hospital.PatientsParticipants included those with suspected primary middle ear cholesteatoma after assessment by clinical otorhinolaryngologists combined with magnetic resonance imaging (MRI) examination. Finally, of the 85 ears from 65 patients enrolled in the study, 73 had cholesteatoma, and 12 had otitis media.InterventionTwo radiologists independently assessed images and measured apparent diffusion coefficient (ADC) values. Sensitivity, specificity and accuracy were evaluated. Kappa (k) statistics, the intraclass correlation coefficient (ICC), the Kolmogorov–Smirnov normality test, the independent t test, and receiver operating characteristic (ROC) analysis were used for statistical analysis. Pair-wise comparison of the area under the ROC curve (AUC) was also performed using the Delong test.Main Outcome MeasuresImaging and histopathologic findings.ResultsThe mean ADC value of cholesteatoma group (mean, 0.923 ± 0.246 × 10–3 mm2/s) was significantly lower than that of noncholesteatoma group (mean, 1.744 ± 0.205 × 10–3 mm2/s; p < 0.001). In ≤3 mm cholesteatoma group, the AUC of qualitative DWI was 0.846; the sensitivity, specificity, and accuracy for diagnosing cholesteatoma were 69.23%, 100%, and 84%, respectively; while the AUC of quantitative diagnosis was significantly increased to 1.0 (p = 0.0209); and based on the optimal threshold of ADC, ≤1.352 × 10–3 mm2/s, the sensitivity, specificity and accuracy improved to 100%. For >3 mm cholesteatoma group, there were no significant differences in diagnostic performance. Excellent interobserver agreement and ICC for the qualitative and quantitative evaluations (k = 0.90 and ICC = 0.80, respectively) was noted between reviewers.ConclusionTGSE BLADE DWI is useful for the detection of primary middle ear cholesteatomas, especially ≤3 mm lesions.

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Turbo Gradient and Spin Echo PROPELLER-Diffusion Weighted Imaging for Orbital Tumors: A Comparative Study With Readout-Segmented Echo-Planar Imaging

Cited by 9 publications

References 34 publications

Comparison of TGSE-BLADE DWI, RESOLVE DWI, and SS-EPI DWI in healthy volunteers and patients after cerebral aneurysm clipping

Comparison of TGSE-BLADE DWI, RESOLVE DWI, and SS-EPI DWI in healthy volunteers and patients after cerebral aneurysm clipping

Radiomics based on RESOLVE ADC in differentiating benign and malignant lymph nodes in rectal cancer

Accuracy of 2D BLADE Turbo Gradient- and Spin-Echo Diffusion Weighted Imaging for the Diagnosis of Primary Middle Ear Cholesteatoma

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