Consensus report on quality control of quantitative measurements of renal function obtained from the renogram: International consensus committee from the scientific committee of radionuclides in nephrourology

Prigent, Alain; Cosgriff, P. S.; Gates, Gary F.; Graneurs, Göran; Fine, Eugene J.; Itoh, Kazua; Peters, M.; Piepsz, Amy; Rehling, Michael; Rutland, M. D.; Taylor, Andrew

doi:10.1016/s0001-2998(99)80005-1

Cited by 177 publications

(138 citation statements)

References 64 publications

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“…It is noted in a later consensus report from ISCORN that many of the disagreements about how and where to choose background activity to quantitate individual renal function have been resolved [3]. Unlike the previous report, the group at this time was able to achieve a consensus, but did not endorse one single method as the method of choice.…”

mentioning

confidence: 80%

Renal background correction and measurement of split renal function: The challenge

Blaufox

2015

Eur J Nucl Med Mol Imaging

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mentioning

confidence: 80%

Renal background correction and measurement of split renal function: The challenge

Blaufox

2015

Eur J Nucl Med Mol Imaging

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“…To help standardize practice and guide interpretation of renal scans, an international group of experts in renal nuclear medicine has recently published consensus reports on (1) angiotensin converting enzyme inhibition (ACEI) renography for renovascular hypertension, 4 (2) diuresis renography, 5 (3) plasma sample clearance measurements, 6 (4) quality control of quantitative measurements obtained from the renogram, 7 (5) technical aspects of renal transplant evaluation, 8 and (6) pediatric renography. 9 The consensus recommendations for acquisition of the renogram data, the recommended quantitative parameters, and basic interpretative criteria are now generally accepted by experts but recent British surveys have shown that only 49% of full time nuclear medicine practitioners in Britain were even aware that a guideline on renal clearances existed.…”

Section: Consensus Reports As Decision Support Toolsmentioning

confidence: 99%

“…2 Guidelines and consensus reports have been designed to assist physicians perform and interpret renal studies but for the time constrained physician, they may have made interpretation more complex. To assist in scan interpretation, experts and consensus panels have recommended clearance measurements and the measurement of specific renogram parameters such as time to maximum counts, 20-minute to maximum count ratio, postvoid to maximum count ratio and 20-minute to 2-to 3-minute count ratios for cortical and whole kidney regions of interest (ROIs), [4][5][6][7][8] but for many trainees and practicing physicians, these measurements simply represent a bewildering array of numbers; comfort with the technical requirements of the study and the underlying knowledge of when and how to apply these parameters to assist in scan interpretation may be lacking and, most importantly, physicians may not have time to read and assimilate the relevant papers.…”

Section: Consensus Reports As Decision Support Toolsmentioning

confidence: 99%

Decision Support Systems in Diuresis Renography

Taylor

Manatunga

Garcia

2008

Seminars in Nuclear Medicine

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The volume of diagnostic imaging studies performed in the United States is rapidly increasing resulting from an increase in the number of patients as well as an increase in the volume of studies per patient. Concurrently, the number and complexity of images in each patient data set are also increasing. Nuclear medicine physicians and radiologists are required to master an ever-expanding knowledge base whereas the hours available to master this knowledge base and apply it to specific tasks are steadily shrinking. The convergence of an expanding knowledge base and escalating time constraints increases the likelihood of physician errors. The problem is particularly acute for lowvolume studies such as MAG3 diuresis renography where many imagers may have had limited training or experience. To address this problem, renal decision support systems (DSS) are being developed to assist physicians evaluate suspected obstruction in patients referred for diuresis renography. Categories of DSS include neural networks, case-based reasoning, expert systems and statistical systems; RENEX and CART are examples of renal DSS currently in development. RENEX (renal expert) uses a set of rules obtained from human experts to analyze a knowledge base of expanded quantitative parameters obtained from diuresis MAG3 scintigraphy whereas CART (classification and regression tree analysis) is a statistical method that grows and prunes a decision tree based on an analysis of these quantitative parameters in a training data set. RENEX can be queried to provide the reasons for its conclusions. Initial data show that the interpretations provided by RENEX and CART are comparable to the interpretations of a panel of experts blinded to clinical information. This project should serve as a benchmark for the scientific comparison and collaboration of these 2 fields of medical decision-making. Moreover, we anticipate that these DSS will better define the essential interpretative criteria, foster standardized interpretation, teach trainees to better interpret renal scans, enhance diagnostic accuracy and provide a methodology applicable to other diagnostic problems in radiology and medicine.The number of diagnostic imaging studies performed annually in the United States is rapidly increasing. In part, this increase is the result of an increase in population but an even more important factor is an increase in the number of studies performed for each patient. The volume of imaging procedures for each Medicare beneficiary, for example, has been increasing about 10% per year for the past 5 years. 1 At the same time the volume of imaging studies is increasing, the number and complexity of the images in each patient data set is also increasing. Imagers are required to master an ever-expanding knowledge base whereas the hours available to master this knowledge base and apply it to specific tasks (selecting the most appropriate protocol, quality control, image interpretation, reporting) are steadily shrinking. The convergence of an expanding knowledge base...

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“…There also exists software from commercial actors trying to bridge the gap [4]. Common for these applications is their manual or semi-automatic approach to obtain the parameters [5].…”

Section: Introductionmentioning

confidence: 99%

“…[7,8]. Other approaches to extract the renogram are also introduced in [9,5]. Compartmental modelling has also drawn some attention, in the mid-nineties Fine et al developed a model for parametric deconvolution analysis [10].…”

Section: Introductionmentioning

confidence: 99%

Automatic Compartment Modelling and Segmentation for Dynamical Renal Scintigraphies

et al. 2011

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Abstract. Time-resolved medical data has important applications in a large variety of medical applications. In this paper we study automatic analysis of dynamical renal scintigraphies. The traditional analysis pipeline for dynamical renal scintigraphies is to use manual or semiautomatic methods for segmentation of pixels into physical compartments, extract their corresponding time-activity curves and then compute the parameters that are relevant for medical assessment. In this paper we present a fully automatic system that incorporates spatial smoothing constraints, compartment modelling and positivity constraints to produce an interpretation of the full time-resolved data. The method has been tested on renal dynamical scintigraphies with promising results. It is shown that the method indeed produces more compact representations, while keeping the residual of fit low. The parameters of the time activity curve, such as peak-time and time for half activity from peak, are compared between the previous semiautomatic method and the method presented in this paper. It is also shown how to obtain new and clinically relevant features using our novel system.

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Consensus report on quality control of quantitative measurements of renal function obtained from the renogram: International consensus committee from the scientific committee of radionuclides in nephrourology

Cited by 177 publications

References 64 publications

Renal background correction and measurement of split renal function: The challenge

Renal background correction and measurement of split renal function: The challenge

Decision Support Systems in Diuresis Renography

Automatic Compartment Modelling and Segmentation for Dynamical Renal Scintigraphies

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