The Classification of Vestibular Schwannoma (VS) and Cerebellopontine Angle Meningioma (CPAM) Based on Multimodal Magnetic Resonance Imaging Analysis by Lihua Yuan, Jaming Lu, Xin Shu, Kun Liang, Cheng Wang, Jiu Chen, Zhishun Wang

“…<b>Background/Objectives</b>: This study evaluates the diagnostic efficacy of the apparent diffusion coefficient (ADC) and T1-weighted contrast-enhanced (T1W + C) and T2-weighted (T2W) imaging modalities in differentiating vestibular schwannomas (VSs) and cerebellopontine angle meningiomas (CPAMs), aiming to optimize clinical imaging protocols for these tumors. …”
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The Accuracy of ADC Measurements in Liver Is Improved by a Tailored and Computationally Efficient Local-Rigid Registration Algorithm. by Hossein Ragheb, Neil A Thacker, Jean-Marie Guyader, Stefan Klein, Nandita M deSouza, Alan Jackson

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A Novel Grouting Diffusion Monitoring System Based on ZigBee Wireless Sensor Network by Xiangpeng Wang, Tingkai Wang, Jinyu Gao, Meng Yang, Fanqiang Lin, Yong Jia

“…On-site experiments demonstrate that the system can simultaneously monitor multiple profiles and perform inversions in the grouting area, which can be assembled into 3D inversion images for evaluating grout diffusion, offering valuable insights for optimizing construction operations, and enhancing grouting efficiency.…”
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Diagnostic Accuracy of Diffusion Weighted Imaging in Differentiating Benign and Malignant Breast Lesions: A Cross-Sectional Study by Srestha Khan, Senthil Kumar Aiyappan, Ragitha Ramesh, Shriram Natarajan, Ramya Sai Dachepalli, Nishant

“…Apparent Diffusion Coefficient (ADC) is the objective measure of diffusion and is usually lower in malignant breast lesions. …”
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Evaluation of Clinical Symptoms of Unilateral S1 Nerve Injury Caused by Disc Herniation the via High Resolution MRI and DTI by Zhang C, Hao W, Guo X, Zhang Y, Fu H, Zhang J

“…The effective indicators of S1 neurologic fiber bundle damage were screened by univariate logistic regression analysis and receiver operating characteristic (ROC) curve, and multi-factor logistic regression models were constructed to analyze the diagnostic efficiency of each model.Results: There were no significant differences in age, gender, height, weight, fractional anisotropy (FA) value and apparent diffusion coefficient (ADC) value on both sides of S1 nerve root between groups (P > 0.05). …”
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Diffusion-Weighted Imaging-Based Differentiating between Benign and Malignant Ovarian Lesions by Ali Reza Eftekhari Moghadam, Milad Jalilian, Forouzan Absalan, Farhad Heidari

“…Post-processing of three-dimensional apparent diffusion coefficient (ADC) maps has proven useful in evaluating variable tumors, although its position in ovarian cancer prognosis is until now not well defined. …”
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Comparison of four MRI diffusion models to differentiate benign from metastatic retropharyngeal lymph nodes by Jun Liu, Li Hua, Fei Wang, Ming Chen, Yinan Sun, Zhi Hu, Luqing Shu, Andong He, Mengxiao Liu, Qing Yang, Juan Zhu, Yinfeng Qian

“…All patients underwent DWI with 12 b-values. Diffusion data were reconstructed using conventional DWI, SEM, FROC, and CTRW models, yielding nine parameters: apparent diffusion coefficient (ADC), distributed diffusion coefficient (DDC)SEM, αSEM, DFROC, βFROC, μFROC, DCTRW, αCTRW, and βCTRW. …”
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Estimation of the Extent of Cervical Cancer Using Multiparametric Magnetic Resonance Imaging by Е. V. Tarachkova, E. V. Nikolaev, М. A. Shorikov, V. О. Panov, I. Е. Tyurin

“…The investigators used the following modalities: T2 weighted imaging (T2WI); T2WI with fat signal suppression; diffusion-weighted image (DWI) with apparent diffusion coefficient (ADC) mapping; T1WI with dynamic contrast-enhanced MRI (DCE-MRI).Results. …”
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A multivariate model of IVIM-DWI in the preoperative diagnosis of tumor budding grade in rectal cancer by Junyi Fu, Chenglong Zhao, Guangying Zheng, Aiyin Li, Gesheng Song

“…After processing the IVIM sequences, the apparent diffusion coefficient (ADC) from the mono-exponential (ME) model; D, D*, and f from the bi-exponential (BE) model; and the DDC and α from the stretching (SE) model were obtained. …”
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Combining multi-parametric MRI radiomics features with tumor abnormal protein to construct a machine learning-based predictive model for prostate cancer by Chi Zhang, Zewen Wang, Peicheng Shang, Yibin Zhou, Jin Zhu, Lijun Xu, Zeyu Chen, Mengqi Yu, Yachen Zang

“…Radiomic features were meticulously extracted from T2-weighted imaging (T2WI) and the apparent diffusion coefficient (ADC) maps. Feature selection was performed using t-tests and the Least Absolute Shrinkage and Selection Operator (LASSO) regression, followed by model construction using the random forest algorithm. …”
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A Review of Artificial Intelligence-Based Systems for Non-Invasive Glioblastoma Diagnosis by Kebin Contreras, Patricia E. Velez-Varela, Oscar Casanova-Carvajal, Angel Luis Alvarez, Ana Lorena Urbano-Bojorge

“…Multimodal approaches integrating T1WI with diffusion-weighted imaging (DWI) and apparent diffusion coefficient (ADC) have demonstrated improved classification performance. …”
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Amide proton transfer-weighted imaging and T1 mapping as diagnostic tools to evaluate high-risk histopathologic phenotypes before surgery in rectal adenocarcinoma and their correla... by Yaxin Chai, Yaxin Chai, Yongchao Niu, Ruixue Cheng, Pan Liang, Jianbo Gao

“…The measured parameters included APT signal intensity (APT SI), T1 relaxation time before (native T1) and after (post-contrast T1) enhancement, and apparent diffusion coefficient (ADC). The receiver operating characteristic (ROC) curve was used to evaluate diagnostic efficiency, and Spearman correlation analysis was used to evaluate the correlation between parameters with Ki-67, respectively.ResultsAPT SI values were significantly different between the mucinous adenocarcinoma (MC) group and the common adenocarcinoma (AC) group in two centers (center 1: [2.64 ± 0.33%] vs. [2.22 ± 0.78%], P&lt;0.05), (center 2: [3.27 ± 0.80%] vs. [2.59 ± 0.77%], P&lt;0.05). …”
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Multi-sequence MRI based radiomics nomogram for prediction expression of programmed death ligand 1 in thymic epithelial tumor by Jie Shen, Lantian Zhang, Shuke Li, Xiaofei Mu, Tongfu Yu, Wei Zhang, Yue Yu, Jing He, Wen Gao

“…Radiomics features were extracted from T1-weighted, T2-weighted fat suppression, and apparent diffusion coefficient (ADC) map images to establish a radiomics signature in the training cohort. …”
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An Observational Study on The Role of Magnetic Resonance Imaging in The Evaluation of Soft Tissue Tumors with Histopathological Correlation at Tertiary Care Centre by Sriramula Sripriya, Tejaswini Mogalagunta, Sunitha Bajaj, Sudha Bindu T, Madhavi T

“…T2-weighted heterogeneous hyperintensity was noted more frequently in malignant lesions, demonstrating a high positive predictive value; that is, 83% of malignant tumors exhibited changes on diffusion-weighted imaging/ apparent diffusion co efficient (DWI/ADC). …”
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