The diagnostic efficiency of ultrasound guided imaging algorithm in evaluation of patients with hematuria

Ünsal, Alparslan; Çalişkan, Eda Kazak; Erol, Haluk; Karaman, Can Zafer

doi:10.1016/j.ejrad.2009.10.027

Cited by 20 publications

(25 citation statements)

References 13 publications

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“…Sonography has the additional advantages of being noninvasive, readily available, and cost-effective. 30 Careful and thorough imaging must be done when sonography shows a focal bladder mass. An essential technique in differentiating a fixed lesion versus an entity that demonstrates movement would be to image the "mass" in both decubitus views.…”

Section: Discussionmentioning

confidence: 99%

Incidental Sonographic Detection of Non–Muscle-Invasive Papillary Urothelial Carcinoma in a Low-Risk Patient

Nazeri¹

2013

Journal of Diagnostic Medical Sonography

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This case presentation describes the early diagnosis of an invasive urinary bladder cancer in a woman in her late 60s with no history of cancer, hematuria, dysuria, smoking, or hormone replacement therapy. This was confirmed on histopathology after tumor resection. The case report demonstrates the importance of including scanning the urinary bladder in all pelvic sonography examinations, even in the low-risk population. The following study also discusses the prevalence, etiology, diagnostic tools, prognosis, and treatment of bladder cancer. Different types of bladder tumors, staging, and grading criteria are also described.

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Section: Discussionmentioning

confidence: 99%

Incidental Sonographic Detection of Non–Muscle-Invasive Papillary Urothelial Carcinoma in a Low-Risk Patient

Nazeri¹

2013

Journal of Diagnostic Medical Sonography

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“…In the medical field, we have used graph-based segmentation approaches for pituitary adenoma in magnetic resonance imaging (MRI) data [24, 25], fiber tracts in Diffusion Tensor Imaging (DTI) data [26, 27, 28], abdominal aortic aneurysms (AAA) in computed tomography angiography (CTA) data [29, 30, 31], glioblastoma multiforme (GBM) in MRI data [32, 33, 34], and cerebral aneurysm in computed tomography (CT) data [35]. Figure 1 shows several segmentation results as 3D screenshots faded into whole image structures.…”

Section: Methodsmentioning

confidence: 99%

Manual Refinement System for Graph-Based Segmentation Results in the Medical Domain

et al. 2011

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The basic principle of graph-based approaches for image segmentation is to interpret an image as a graph, where the nodes of the graph represent 2D pixels or 3D voxels of the image. The weighted edges of the graph are obtained by intensity differences in the image. Once the graph is constructed, the minimal cost closed set on the graph can be computed via a polynomial time s-t cut, dividing the graph into two parts: the object and the background. However, no segmentation method provides perfect results, so additional manual editing is required, especially in the sensitive field of medical image processing. In this study, we present a manual refinement method that takes advantage of the basic design of graph-based image segmentation algorithms. Our approach restricts a graph-cut by using additional user-defined seed points to set up fixed nodes in the graph. The advantage is that manual edits can be integrated intuitively and quickly into the segmentation result of a graph-based approach. The method can be applied to both 2D and 3D objects that have to be segmented. Experimental results for synthetic and real images are presented to demonstrate the feasibility of our approach.

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“…Ultrasound also permits unlimited scan planes thus allowing for good visualisation of the kidneys and urinary bladder. Additionally, Doppler studies can provide further information regarding vascularity of masses (Figure 2A, 2B) [23].…”

Section: Reviewmentioning

confidence: 99%

“…In the detection of UUT tumours, US has a variable sensitivity in detection of urothelial carcinomas, with moderate sensitivity (82%) for renal cell carcinoma detection and low sensitivity (12%) for the detection of urothelial carcinoma of the ureter [9,23]. However, when compared to IVP in the detection of abnormalities of the UUT in patients presenting with haematuria, US is more sensitive in the detection of renal and bladder tumours [9, 22, 23], with a higher sensitivity (96% versus 25%) and negative predictive value (98% versus 91%) respectively [2, 24].…”

Section: Reviewmentioning

confidence: 99%

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Painless Visible Haematuria in Adults: An Algorithmic Approach Guiding Management

Dulku

Shivananda

Chakera

et al. 2019

Cureus

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There is consensus that visible haematuria may be a sign of serious underlying disease, including malignancy, and warrants a thorough diagnostic evaluation. This is usually undertaken by a combination of clinical examination, cystoscopic evaluation, and urinary tract imaging.A decision support tool has been developed in the form of an algorithmic flow chart as part of a suite of on-line evidence-based and consensus-based guidelines Diagnostic Imaging Pathways (DIP): www.imagingpathways.health.wa.gov.au (Online clinical decision-making tool: Dulku G. Painless Macroscopic Haematuria. Diagnostic Imaging Pathways; September 2015) to provide imaging recommendations for adult patients with unexplained, painless visible haematuria. A literature review, including reference to several international consensus-based expert guidelines, has been employed to develop this tool.The choice of first line imaging method is dependent on the risk stratification into high or low risk for the development of renal and urologic malignancies. Ultrasound is vital in the initial assessment of haematuria particularly in radiation sensitive patients, low-risk patients, and in young men <40 years. Computed tomographic urography (CTU) is a sensitive and specific method for the detection of urothelial malignancy particularly in high-risk patients. Magnetic resonance urography (MRU) provides better contrast resolution than CTU without exposure to ionising radiation or requiring intravenous (IV) contrast administration, making it more suitable for examination of paediatric and pregnant patients and patients with renal impairment. Cystoscopy remains the gold standard in the detection of lower urinary tract (bladder) urothelial tumours.Until randomised clinical trials comparing different diagnostic modalities or strategies prospectively and outcome studies are available, consensus-based practice recommendations similar to ours are nonetheless warranted to reduce the variation in haematuria management.

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The diagnostic efficiency of ultrasound guided imaging algorithm in evaluation of patients with hematuria

Cited by 20 publications

References 13 publications

Incidental Sonographic Detection of Non–Muscle-Invasive Papillary Urothelial Carcinoma in a Low-Risk Patient

Incidental Sonographic Detection of Non–Muscle-Invasive Papillary Urothelial Carcinoma in a Low-Risk Patient

Manual Refinement System for Graph-Based Segmentation Results in the Medical Domain

Painless Visible Haematuria in Adults: An Algorithmic Approach Guiding Management

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