Soft Tissue Masses Showing Low Signal Intensity on T2-weighted Images: Correlation with Pathologic Findings

Song, You Seon; Lee, In Sook; Choi, Kyung Un; Cho, Kil Ho; Lee, Sung Moon; Lee, Young Hwan; Kim, Jeung Il

doi:10.13104/jksmrm.2014.18.4.279

Cited by 5 publications

(2 citation statements)

References 33 publications

(37 reference statements)

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“…Our case showed a cavitary lesion of slightly high SI with rim-like hypointensity on T2WI. Considering chronicity of our case, rim-like T2-shortening may be related to hemorrhage and fibrosis ( 7 ). Pathologic analysis found multistage hemorrhage with hemosiderin-laden histiocytic accumulation and pericapsular organizing fibrosis ( Fig.…”

Section: Discussionmentioning

confidence: 91%

Focal Xanthogranulomatous Pyelonephritis Associated with Xanthogranulomatous Cholecystitis: A Case Report

조

김

이

et al. 2020

J Korean Soc Radiol

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Xanthogranulomatous inflammation is a rare inflammatory reaction, characterized by lipid-laden macrophages, known as xanthomas, in histopathologic examination. Aggressive xanthogranulomatous inflammation often manifests as local infiltration but does not affect distant organs unless combined with rare systemic diseases. We report a case of focal xanthogranulomatous pyelonephritis (XGP) associated with severe xanthogranulomatous cholecystitis. Focal XGP was suspected in radiologic examination that showed a cystic lesion with an infiltrative margin, which were surgically resected and confirmed in pathologic examination. To our knowledge, this is the first report of focal xanthogranulomatous pyelonephritis associated with xanthogranulomatous cholecystitis. Moreover, we found peripheral hypointensity around the cystic lesion in the T2-weighted image, probably reflecting hemorrhage and fibrosis of the xanthogranulomatous inflammation.

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Section: Discussionmentioning

confidence: 91%

Focal Xanthogranulomatous Pyelonephritis Associated with Xanthogranulomatous Cholecystitis: A Case Report

조

김

이

et al. 2020

J Korean Soc Radiol

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“…From a histopathologic perspective, it is estimated that the cellularity of the tumor increases as the Fuhrman grade increases. T2 hypointensity in high-cellularity tumors is common in the case of lymphoma, 33,34 and this tendency is considered to be the cause of the relatively low T2 signal intensity of high-grade ccRCC.…”

Section: Discussionmentioning

confidence: 99%

Machine Learning–Based Magnetic Resonance Radiomics Analysis for Predicting Low- and High-Grade Clear Cell Renal Cell Carcinoma

Sim,

Han,

Cho

et al. 2023

J Comput Assist Tomogr

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Purpose To explore whether high- and low-grade clear cell renal cell carcinomas (ccRCC) can be distinguished using radiomics features extracted from magnetic resonance imaging. Methods In this retrospective study, 154 patients with pathologically proven clear ccRCC underwent contrast-enhanced 3 T magnetic resonance imaging and were assigned to the development (n = 122) and test (n = 32) cohorts in a temporal-split setup. A total of 834 radiomics features were extracted from whole-tumor volumes using 3 sequences: T2-weighted imaging (T2WI), diffusion-weighted imaging, and contrast-enhanced T1-weighted imaging. A random forest regressor was used to extract important radiomics features that were subsequently used for model development using the random forest algorithm. Tumor size, apparent diffusion coefficient value, and percentage of tumor-to-renal parenchymal signal intensity drop in the tumors were recorded by 2 radiologists for quantitative analysis. The area under the receiver operating characteristic curve (AUC) was generated to predict ccRCC grade. Results In the development cohort, the T2WI-based radiomics model demonstrated the highest performance (AUC, 0.82). The T2WI-based radiomics and radiologic feature hybrid model showed AUCs of 0.79 and 0.83, respectively. In the test cohort, the T2WI-based radiomics model achieved an AUC of 0.82. The range of AUCs of the hybrid model of T2WI-based radiomics and radiologic features was 0.73 to 0.80. Conclusion Magnetic resonance imaging–based classifier models using radiomics features and machine learning showed satisfactory diagnostic performance in distinguishing between high- and low-grade ccRCC, thereby serving as a helpful noninvasive tool for predicting ccRCC grade.

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Usefulness of MR imaging for odontogenic tumors

et al. 2020

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Soft Tissue Masses Showing Low Signal Intensity on T2-weighted Images: Correlation with Pathologic Findings

Cited by 5 publications

References 33 publications

Focal Xanthogranulomatous Pyelonephritis Associated with Xanthogranulomatous Cholecystitis: A Case Report

Focal Xanthogranulomatous Pyelonephritis Associated with Xanthogranulomatous Cholecystitis: A Case Report

Machine Learning–Based Magnetic Resonance Radiomics Analysis for Predicting Low- and High-Grade Clear Cell Renal Cell Carcinoma

Usefulness of MR imaging for odontogenic tumors

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