Can Quantitative CT Texture Analysis be Used to Differentiate Fat-poor Renal Angiomyolipoma from Renal Cell Carcinoma on Unenhanced CT Images?

Hodgdon, Taryn; McInnes, Matthew D. F.; Schieda, Nicola; Flood, Trevor A.; Lamb, Leslie; Thornhill, Rebecca E.

doi:10.1148/radiol.2015142215

Cited by 232 publications

(159 citation statements)

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“…The one case of bilateral angiomyolipoma was diagnosed as tuberous sclerosis after further investigations of other systems by different imaging modalities. Our findings correlate well with the findings of Taryn Hodgdon et al, 3 who found the mean age of RCC and AML was 59 +/-13 years and 53 +/-12, whereas in our study it was 60.03 years and 37.3 years. Verhoest G et al 4 in their study have found that the incidence of renal cell carcinoma was 6% in < 40 years, 38.5% in 40 -60 years, 52.3% in 60 -80 years and 3.2% in > 80 years.…”

Section: Discussionsupporting

confidence: 93%

Role of Computed Tomography in the Evaluation of Renal Masses

Sarma¹,

R²,

Agarwal³

et al. 2017

jemds

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BACKGROUNDIn recent years, Computed Tomography (CT) has been found to be extremely useful in the diagnosis and treatment of renal masses. It provides an accurate morphologic picture of the renal mass. The precise contrast resolution makes identification of the characteristic attenuation values possible. Aims and Objectives -To characterise benign vs. malignant renal lesions based on CECT image analysis and to stage wherever possible. MATERIALS AND METHODS60 patients with suspected renal mass underwent CECT in Gauhati Medical College for a period from June 2014 to August 2015; patients who were diagnosed to have renal mass on ultrasound and referred for a CT scan for further evaluation. The images were analysed in unenhanced, corticomedullary, nephrographic and excretory phases after administration of non-ionic intravenous contrast. The lesion detection, enhancement pattern, local invasion and distant metastasis were assessed in pre-and post-contrast studies. RESULTSThere were 45 malignant and 15 benign lesions in our study; the radiological diagnoses of malignant mass was confirmed by histopathology, whereas benign lesions were followed up to confirm their benignity. We had two false positive cases in our study, one was an oncocytoma and another was an angiomyolipoma. MDCT was 100% sensitive, 88.2% specificity and reached an accuracy rate of 96.7%. CONCLUSIONAs a result of the study, the following conclusions can be stated: CT has excellent accuracy in the diagnosis, characterisation and differentiating benign and malignant renal masses and for the characterisation of small renal mass the degree of enhancement on the corticomedullary phase is the most valuable parameter.

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Section: Discussionsupporting

confidence: 93%

Role of Computed Tomography in the Evaluation of Renal Masses

Sarma¹,

R²,

Agarwal³

et al. 2017

jemds

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“…A potential discriminating feature on CT that was not assessed in our study is lesion homogeneity. Previous studies using subjective analysis have demonstrated that AML without visible fat were significantly more homogeneous than RCC [18,25], and more recently, Hodgdon et al showed similar findings using quantitative texture analysis [34]. The use of homogeneity combined with other CT imaging findings for diagnosis of AML without visible fat requires further study, but may be of particular utility in AML without visible fat that are iso-attenuating.…”

Section: Discussionmentioning

confidence: 90%

Angiomyolipoma (AML) without visible fat: Ultrasound, CT and MR imaging features with pathological correlation

et al. 2015

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“…Because traditional visual inspection of images might not allow for recognizing subtle differences in textural information, the application of TA has the potential to further enhance the diagnostic and prognostic value of imaging. The increase of interest in evaluating TA in radiology is reflected by recent literature describing potential applications of the technique in oncologic (11)(12)(13), neuroradiologic (14), musculoskeletal (15,16), and lung imaging (17). To our knowledge, only one preliminary study, published as a conference abstract, has evaluated the potential of TA for cardiac MR imaging so far (18).…”

Section: Cardiac Mr Imaging Data Acquisitionmentioning

confidence: 99%

Subacute and Chronic Left Ventricular Myocardial Scar: Accuracy of Texture Analysis on Nonenhanced Cine MR Images

et al. 2018

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Purpose To test whether texture analysis (TA) allows for the diagnosis of subacute and chronic myocardial infarction (MI) on noncontrast material-enhanced cine cardiac magnetic resonance (MR) images. Materials and Methods In this retrospective, institutional review board-approved study, 120 patients who underwent cardiac MR imaging and showed large transmural (volume of enhancement on late gadolinium enhancement [LGE] images >20%, n = 72) or small (enhanced volume 20%, n = 48) subacute or chronic ischemic scars were included. Sixty patients with normal cardiac MR imaging findings served as control subjects. Regions of interest for TA encompassing the left ventricle were drawn by two blinded, independent readers on cine images in end systole by using a freely available software package.Stepwise dimension reduction and texture feature selection based on reproducibility, machine learning, and correlation analyses were performed for selecting features, enabling the diagnosis of MI on nonenhanced cine MR images by using LGE imaging as the standard of reference. Results Five independent texture features allowed for differentiation between ischemic scar and normal myocardium on cine MR images in both subgroups: Teta1, Perc.01, Variance, WavEnHH.s-3, and S(5,5)SumEntrp (in patients with large MI: all P values < .001; in patients with small MI: Teta1 and Perc.01, P < .001; Variance, P = .026; WavEnHH.s-3, P = .007; S[5,5]SumEntrp, P = .045). Multiple logistic regression models revealed that combining the features Teta1 and Perc.01 resulted in the highest accuracy for diagnosing large and small MI on cine MR images, with an area under the curve of 0.93 and 0.92, respectively. Conclusion This proof-of-concept study indicates that TA of nonenhanced cine MR images allows for the diagnosis of subacute and chronic MI with high accuracy. (©) RSNA, 2017 Online supplemental material is available for this article. Purpose:To test whether texture analysis (TA) allows for the diagnosis of subacute and chronic myocardial infarction (MI) on noncontrast material-enhanced cine cardiac magnetic resonance (MR) images. Materials and Methods:In this retrospective, institutional review board-approved study, 120 patients who underwent cardiac MR imaging and showed large transmural (volume of enhancement on late gadolinium enhancement [LGE] images .20%, n = 72) or small (enhanced volume 20%, n = 48) subacute or chronic ischemic scars were included. Sixty patients with normal cardiac MR imaging findings served as control subjects. Regions of interest for TA encompassing the left ventricle were drawn by two blinded, independent readers on cine images in end systole by using a freely available software package. Stepwise dimension reduction and texture feature selection based on reproducibility, machine learning, and correlation analyses were performed for selecting features, enabling the diagnosis of MI on nonenhanced cine MR images by using LGE imaging as the standard of reference. Results:Five independent texture features allowed ...

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Can Quantitative CT Texture Analysis be Used to Differentiate Fat-poor Renal Angiomyolipoma from Renal Cell Carcinoma on Unenhanced CT Images?

Abstract: CT texture analysis can be used to accurately differentiate fp-AML from RCC on unenhanced CT images.

Cited by 232 publications

References 40 publications

Role of Computed Tomography in the Evaluation of Renal Masses

Role of Computed Tomography in the Evaluation of Renal Masses

Angiomyolipoma (AML) without visible fat: Ultrasound, CT and MR imaging features with pathological correlation

Subacute and Chronic Left Ventricular Myocardial Scar: Accuracy of Texture Analysis on Nonenhanced Cine MR Images

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