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1.
Clin Radiol ; 72(9): 708-721, 2017 Sep.
Article in English | MEDLINE | ID: mdl-28592361

ABSTRACT

Computed tomography (CT) remains the first-line imaging test for the characterisation of renal masses; however, CT has inherent limitations, which if unrecognised, may result in errors. The purpose of this manuscript is to present 10 pitfalls in the CT evaluation of solid renal masses. Thin section non-contrast enhanced CT (NECT) is required to confirm the presence of macroscopic fat and diagnosis of angiomyolipoma (AML). Renal cell carcinoma (RCC) can mimic renal cysts at NECT when measuring <20 HU, but are usually heterogeneous with irregular margins. Haemorrhagic cysts (HC) may simulate solid lesions at NECT; however, a homogeneous lesion measuring >70 HU is essentially diagnostic of HC. Homogeneous lesions measuring 20-70 HU at NECT or >20 HU at contrast-enhanced (CE) CT, are indeterminate, requiring further evaluation. Dual-energy CT (DECT) can accurately characterise these lesions at baseline through virtual NECT, iodine overlay images, or quantitative iodine concentration analysis without recalling the patient. A minority of hypo-enhancing renal masses (most commonly papillary RCC) show indeterminate or absent enhancement at multiphase CT. Follow-up, CE ultrasound or magnetic resonance imaging (MRI) is required to further characterise these lesions. Small (<3 cm) endophytic cysts commonly show pseudo-enhancement, which may simulate RCC; this can be overcome with DECT or MRI. In small (<4 cm) solid renal masses, 20% of lesions are benign, chiefly AML without visible fat or oncocytoma. Low-dose techniques may simulate lesion heterogeneity due to increased image noise, which can be ameliorated through the appropriate use of iterative reconstruction algorithms.


Subject(s)
Kidney Neoplasms/diagnostic imaging , Tomography, X-Ray Computed/methods , Algorithms , Angiomyolipoma/diagnostic imaging , Angiomyolipoma/pathology , Carcinoma, Renal Cell/diagnostic imaging , Carcinoma, Renal Cell/pathology , Contrast Media , Cysts/diagnostic imaging , Cysts/pathology , Diagnosis, Differential , Diagnostic Errors , Humans , Incidental Findings , Kidney Neoplasms/pathology , Radiographic Image Interpretation, Computer-Assisted
2.
Clin Radiol ; 71(5): 405-17, 2016 May.
Article in English | MEDLINE | ID: mdl-26888762

ABSTRACT

Anterior prostate cancer (APC) is defined as a tumour in which more than half of malignant tissue is located anterior to the urethra. APCs are increasingly recognized as clinically important, particularly in patients undergoing active surveillance and for patients with negative non-targeted systematic transrectal ultrasound (TRUS)-guided biopsies but with persistent clinical suspicion of cancer. Multiparametric (mp) MRI has a crucial role for the diagnosis of anterior tumours, eventual histological sampling of suspicious lesions using image-guided targeted biopsy techniques, and potentially, to improve local staging of disease. mpMRI is accurate for the detection of APC and for differentiation of tumour from other anterior prostatic structures including benign prostatic hyperplasia (BPH) and the anterior fibromuscular stroma (AFMS). Characterization and reporting of APC should rely on the recently revised Prostate Imaging and Data Reporting System (PI-RADS) version 2.0 document. T2-weighted (T2W) imaging is emphasized as the determining sequence for assessment of the anterior prostate and specific features for APC on T2W imaging include: ill-defined/spiculated margin, lenticular shape, anterior/inferior location, and growth pattern (invasion of urethra or AFMS and crossing midline). Functional imaging, mainly with diffusion-weighted imaging, is also contributory and improves the sensitivity for detection of APC compared to T2W imaging alone. APCs commonly show positive surgical margins after radical prostatectomy and staging of disease extent using conventional clinical parameters is limited. mpMRI may have a future role to improve local staging of APC. This review illustrates the importance of mpMRI in APC using a clinical-radiological-histopathological approach.


Subject(s)
Magnetic Resonance Imaging/methods , Prostate/diagnostic imaging , Prostate/pathology , Aged , Biopsy , Humans , Magnetic Resonance Spectroscopy , Male , Middle Aged , Prostatic Neoplasms/diagnostic imaging , Prostatic Neoplasms/pathology , Radiography
3.
Clin Radiol ; 70(2): 206-20, 2015 Feb.
Article in English | MEDLINE | ID: mdl-25468637

ABSTRACT

Classic (triphasic) renal angiomyolipoma (AML) is currently classified as a neoplasm of perivascular epithelioid cells. For diagnosis of AML, the use of thin-section non-contrast enhanced CT (NECT) improves diagnostic accuracy; however, identifying gross fat within a very small AML is challenging and often better performed with chemical-shift MRI. Although the presence of gross intra-tumoural fat is essentially diagnostic of AML; co-existing intra-tumoural fat and calcification may represent renal cell carcinoma (RCC). Differentiating AML from retroperitoneal sarcoma can be difficult when AML is large; the feeding vessel and claw signs are suggestive imaging findings. AML can haemorrhage, with intra-tumoural aneurysm size >5 mm a more specific predictor of future haemorrhage than tumor size >4 cm. Diagnosis of AML in the setting of acute haemorrhage is complex; comparison studies or follow-up imaging may be required. Not all AML contain gross fat and imaging features of AML without visible fat overlap with RCC; however, homogeneity, hyperdensity at NECT, low T2-weighted signal intensity and, microscopic fat are suggestive features. Patients with tuberous sclerosis often demonstrate a combination of classic and minimal fat AML, but are also at a slightly increased risk for RCC and should be imaged cautiously. Several rare pathological variants of AML exist including AML with epithelial cysts and epithelioid AML, which have distinct imaging characteristics. Classic AML, although benign, can be locally invasive and the rare epithelioid AML can be frankly malignant. The purpose of this review is to highlight the imaging manifestations of 10 uncommon and unusual variants of AML using pathological correlation.


Subject(s)
Angiomyolipoma/diagnostic imaging , Angiomyolipoma/pathology , Kidney Neoplasms/diagnostic imaging , Kidney Neoplasms/pathology , Magnetic Resonance Imaging/methods , Tomography, X-Ray Computed/methods , Angiomyolipoma/classification , Humans , Kidney/diagnostic imaging , Kidney/pathology , Kidney Neoplasms/classification
4.
Clin Radiol ; 69(11): 1136-41, 2014 Nov.
Article in English | MEDLINE | ID: mdl-25060933

ABSTRACT

AIM: To compare echo-planar imaging (EPI) of the liver at 1.5 and 3 T. MATERIALS AND METHODS: Under a waiver from the institutional review board, 46 patients underwent respiratory-triggered fat-suppressed b = 50 s/mm(2) EPI at 1.5 or 3 T between 2010-2013. Thirty liver lesions were included with no therapy performed between studies. Signal- and contrast-to-noise ratios (SNR/CNR) were compared using a paired t-test. Two blinded readers independently assessed EPI at 1.5 and 3 T in two separate reading sessions for image quality by hepatic region and the presence and severity of artefacts. Results were compared using the Wilcoxon sign rank test. Interobserver agreement was assessed using Cohen's kappa statistic. RESULTS: There was no difference in mean SNR/CNR at 3 T (20.26 ± 10.25/9.55 ± 15.78); compared to 1.5 T (21.96 ± 9.75/5.35 ± 7.89); p = 0.43 and p = 0.09, respectively. Image quality was better at 1.5 T for all hepatic regions (p < 0.001). Image quality was poor or suboptimal at 3 T in 57% of regions studied, compared to 5.6% at 1.5 T. With the exception of image blur (p = 0.27), all artefacts were more prevalent at 3 T with higher rates of image distortion (p < 0.001), failed fat suppression (p = 0.002), ghosting (p < 0.001), parallel imaging artefact (p < 0.001), and shading (p < 0.001). Interobserver agreement was moderate (κ = 0.43-0.53). CONCLUSION: Fat-suppressed low b-value EPI of the liver is significantly better at 1.5 T compared to 3 T.


Subject(s)
Echo-Planar Imaging/methods , Image Enhancement/methods , Liver Diseases/diagnosis , Artifacts , Female , Humans , Liver Diseases/pathology , Middle Aged , Observer Variation , Retrospective Studies , Sensitivity and Specificity , Signal-To-Noise Ratio
5.
Clin Radiol ; 69(11): 1186-97, 2014 Nov.
Article in English | MEDLINE | ID: mdl-25062926

ABSTRACT

Chemical shift (CS) MRI of the adrenal glands exploits the different precessional frequencies of fat and water protons to differentiate the intracytoplasmic lipid-containing adrenal adenoma from other adrenal lesions. The purpose of this review is to illustrate both technical and interpretive pitfalls of adrenal imaging with CS MRI and emphasize the importance of adherence to strict technical specifications and errors that may occur when other imaging features and clinical factors are not incorporated into the diagnosis. When performed properly, the specificity of CS MRI for the diagnosis of adrenal adenoma is over 90%. Sampling the in-phase and opposed-phase echoes in the correct order and during the same breath-hold are essential requirements, and using the first echo pair is preferred, if possible. CS MRI characterizes more adrenal adenomas then unenhanced CT but may be non-diagnostic in a proportion of lipid-poor adenomas; CT washout studies may be able to diagnose these lipid-poor adenomas. Other primary and secondary adrenal tumours and supra-renal disease entities may contain lipid or gross fat and mimic adenoma or myelolipoma. Heterogeneity within an adrenal lesion that contains intracytoplasmic lipid could be due to myelolipoma, lipomatous metaplasia of adenoma, or collision tumour. Correlation with previous imaging, other imaging features, clinical history, and laboratory investigations can minimize interpretive errors.


Subject(s)
Adrenal Gland Diseases/diagnosis , Adrenal Glands/pathology , Magnetic Resonance Imaging/methods , Adrenal Gland Neoplasms/diagnosis , Adrenocortical Adenoma/diagnosis , Artifacts , Contrast Media , Diagnosis, Differential , Humans , Image Enhancement/methods , Image Interpretation, Computer-Assisted/methods , Incidental Findings
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