Radiogenomics of rectal adenocarcinoma in the era of precision medicine: A pilot study of associations between qualitative and quantitative MRI imaging features and genetic mutations

Objective: To investigate the association between multiparametric MRI (mpMRI) imaging features and hypoxia-related genetic profiles in prostate cancer. Methods: In vivo mpMRI was acquired from six patients prior to radical prostatectomy. Sequences included T2 weighted (T2W) imaging, diffusion-weighted imaging, dynamic contrast enhanced MRI and blood oxygen-level dependent imaging. Imaging data were co-registered with histology using three-dimensional deformable registration methods. Texture features were extracted from T2W images and parametric maps from functional MRI. Full transcriptome genetic profiles were obtained using next generation sequencing from the prostate specimens. Pearson correlation coefficients were calculated between mpMRI data and hypoxia-related gene expression levels. Results were validated using glucose transporter one immunohistochemistry (IHC). Results: Correlation analysis identified 34 candidate imaging features (six from the mpMRI data and 28 from T2W texture features). The IHC validation showed that 16 out of the 28 T2W texture features achieved weak but significant correlations (p < 0.05). Conclusions: Weak associations between mpMRI features and hypoxia gene expressions were found. This indicates the potential use of MRI in assessing hypoxia status in prostate cancer. Further validation is required due to the low correlation levels. Advances in knowledge: This is a pilot study using radiogenomics approaches to address hypoxia within the prostate, which provides an opportunity for hypoxia-guided selective treatment techniques.

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Imaging features of hemangioma in long tubular bones

BMC Musculoskeletal Disorders ◽

10.1186/s12891-020-03882-2 ◽

2021 ◽

Vol 22 (1) ◽

Author(s):

Lei Cao ◽

Jin-Xu Wen ◽

Shu-Man Han ◽

Hui-Zhao Wu ◽

Zhi-Gang Peng ◽

...

Keyword(s):

Soft Tissue ◽

Plain Radiograph ◽

Ground Glass Opacity ◽

Plain Radiography ◽

Long Bone ◽

Imaging Features ◽

Mri Imaging ◽

Soft Tissue Density ◽

Tissue Density ◽

Hyperintense Signal

Abstract Background To investigate the imaging features of hemangiomas in long tabular bones for better diagnosis. Methods Twenty-four patients with long bone hemangiomas confirmed by pathology were enrolled. Nineteen patients had plain radiography, fourteen patients had computed tomography (CT) and eleven had magnetic resonance imaging (MRI). The hemangioma was divided into medullary [13], periosteal [6] and intracortical type [5]. Results Among 19 patients with plain radiography, eleven patients were medullary, three periosteal, and five intracortical. In the medullary type, the lesion was primarily osteolytic, including five cases with irregular and unclear rims and one lesion having osteosclerotic and unclear rims. In three patients with the periosteal type, the lesion had clear rims with involvement of the cortical bone in the form of bone defect, including two cases with local thickened bone periosteum and one case having expansile periosteum. Five intracortical hemangiomas had intracortical osteolytic lesions with clear margins. Among 14 patients with CT imaging, 8 cases were medullary, three periosteal, and three intracortical. Among 8 medullary hemangiomas, one had ground glass opacity, and seven had osteolytic, expansile lesions like soft tissue density with no calcification. In three periosteal cases, the lesion was osteolytic with thickened periosteum and narrowed medullary cavity. In three intracortical hemangiomas, the lesion was of even soft tissue density with no calcification. Among 11 patients with MRI imaging, seven were medullary, two periosteal, and two intracortical. Among 7 medullary lesions, six were of hypointense signal on T1WI and hyperintensesignal on T2 WI. In two periosteal cases, the periosteum was thickened, with one case being of equal signal, and the other having no signal. Two intracortical hemangiomas were both of slightly low signal on T1WI but hyperintense signal on T2WI. Conclusions The long bone hemangiomas had characteristic cystic honeycomb-like presentations in plain radiograph. CT and MRI imagings are helpful for diagnosis of hemangiomas in long bone.

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Qualitative and Quantitative Investigations of Microplastics in Pelagic and Demersal Fish Species of the North and Baltic Sea Using Pyrolysis-GCMS: A Pilot Study

Fate and Impact of Microplastics in Marine Ecosystems ◽

10.1016/b978-0-12-812271-6.00053-3 ◽

2017 ◽

pp. 57-58

Author(s):

B.M. Scholz-Böttcher ◽

M. Fischer ◽

M.S. Meyer ◽

J. Gercken

Keyword(s):

Pilot Study ◽

Baltic Sea ◽

Fish Species ◽

Demersal Fish ◽

Qualitative And Quantitative ◽

The North

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A New Method for Continuous Recording of Trunk Postures while Playing Golf

Journal of Applied Biomechanics ◽

10.1123/jab.12.1.116 ◽

1996 ◽

Vol 12 (1) ◽

pp. 116-129 ◽

Cited By ~ 4

Author(s):

José C. Derksen ◽

Marcel P. van Riel ◽

Chris J. Snijders

Keyword(s):

Pilot Study ◽

Quantitative Data ◽

Biomechanical Study ◽

New Method ◽

Continuous Recording ◽

Trunk Movement ◽

Qualitative And Quantitative ◽

Long Period ◽

Trunk Movements ◽

Spinal Load

In this paper a new method for the registration of trunk movements is presented. With this method, called the Portable Posture Registration Set (PPRS), movements can be recorded continuously over a long period of time. The purpose of this study was to test whether the PPRS can be applied in golf. A pilot study using 4 male golfers demonstrated that qualitative and quantitative data on trunk movements in golf can be collected with the PPRS. The inclination of the trunk proved to be large (40–45°) in all swings tested, resulting in a considerable load on the back. The contribution of torsion to the spinal load was relatively small, especially in the putt, which showed very little movement in the transverse and frontal planes. However, putting accounted for most of the total spinal load in playing a course. Even when playing a round of 18 holes, subjects did not experience any hindrance or discomfort from the sensors or the recorder. This method seems to offer new possibilities in the biomechanical study of trunk movement in golf.

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Value of Magnetic Resonance Imaging Features in Diagnosis and Treatment of Breast Cancer under Intelligent Algorithms

Scientific Programming ◽

10.1155/2021/5289128 ◽

2021 ◽

Vol 2021 ◽

pp. 1-8

Author(s):

Shuang Liu ◽

Min Tang ◽

Shuqin Ruan ◽

Feng Wei ◽

Jiaxi Lu

Keyword(s):

Breast Cancer ◽

Magnetic Resonance Imaging ◽

Breast Mri ◽

Imaging Features ◽

Mri Imaging ◽

Resonance Imaging ◽

Intelligent Algorithms ◽

Mri Diagnosis ◽

Diagnosis Model ◽

Mri Image

This study was to analyze the clinical application value of magnetic resonance imaging (MRI) image features based on intelligent algorithms in the diagnosis and treatment of breast cancer and to provide an effective reference assessment for breast cancer diagnosis. The MRI diagnosis model (ACO-MRI) based on the ant colony algorithm (ACO) was proposed, which was compared with the diagnosis methods based on support vector machine (SVM) and proximity (KNN) algorithm, and the proposed algorithm was applied to MRI images to diagnose breast cancer. The results showed that the accuracy, sensitivity, and specificity of the ACO-MRI model were greater than those of the KNN and SVM algorithm. Moreover, the specificity was statistically considerable compared with the two algorithms of KNN and SVM ( P < 0.05 ). By comparing 1/5 number of ants and the average gray path of the ACO-MRI model under 1/8 number of ants, it was found that the average gray path value of 1/8 number of ants was greatly higher than the average gray path value of 1/5 number of ants ( P < 0.05 ). The differences in the overall distribution of breast MRI imaging features among Luminal A, Luminal B, HER-2 overexpression, and TN were compared. There were considerable differences in the overall distribution of the three breast MRI imaging features of the boundaries, morphology, and enhancement methods among the four groups ( P < 0.05 ). In short, MRI image based on the intelligent algorithm ACO-MRI diagnosis model can effectively improve the diagnosis effect of breast cancer. Its image feature boundaries, morphology, and enhancement methods had good imaging features in the diagnosis of breast cancer.

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