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Davidson MTM, Batchelar DL, Velupillai S, Denstedt JD, Cunningham IA. Laboratory coherent-scatter analysis of intact urinary stones with crystalline composition: a tomographic approach. Phys Med Biol 2005; 50:3907-25. [PMID: 16077235 DOI: 10.1088/0031-9155/50/16/017] [Citation(s) in RCA: 17] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Knowledge of urinary stone composition and structure provides important insights in guiding treatment and preventing recurrence. No current method can successfully provide information relating structure and composition of intact stones. We are developing a tomographic technique that uses measures of coherently scattered diagnostic x-rays to yield stone composition. Coherent-scatter (CS) properties depend on molecular structure and are, therefore, sensitive to material composition. Powdered, amorphous or polycrystalline materials with no significant orientation produce circularly symmetric CS patterns. However, in materials with preferred crystallite orientation, like urinary stones, bright spots in CS patterns are observed. This compromises a composition analysis based on comparing CS measurements from calculi to a library of CS signatures from powdered chemicals. We show that a computed tomographic reconstruction of CS measurements using filtered backprojection (CSCT) effectively eliminates bright spots and yields CS patterns equivalent to powdered materials. This allows for direct comparison with a powdered chemical reference library to establish composition. Validation is achieved through a tomographic CS analysis of an aluminium (Al) rod phantom. Much like calculi, CS patterns from a solid polycrystalline Al rod exhibit diffraction spots, absent in the ring-like Al powder CS pattern. We show that the reconstructed Al CS cross-section is equivalent to its powdered counterpart and results in clearly defined composition images. The potential of CSCT to identify stone composition is demonstrated through images of intact stones deemed chemically pure by infrared spectroscopy. Computed tomographic reconstruction of CS signals allowed the generation of composition maps, showing the distribution of stone components. These images provide strong evidence that current laboratory techniques risk missing critical stone components due to inadequate sampling. This is of particular importance since follow-up treatments are based on these composition analyses. CS analysis can distinguish common stone components and can provide topographic composition maps of intact stones. Such details offer invaluable clinical information regarding stone formation, treatment and follow-up, and thus support the development of CS analysis as a laboratory stone analysis technique.
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Affiliation(s)
- Melanie T M Davidson
- Imaging Research Laboratories, Robarts Research Institute, London, Ontario, N6A 5K8, Canada.
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Abstract
PURPOSE Stone fragility is a key factor for the success of shock wave lithotripsy (SWL). Dual x-ray absorptiometry is the gold standard for measuring bone mineral content and density, which helps in determining bone mass and the fracture risk. The same principle was applied to determine the relationship of stone mineral content (SMC) and density (SMD) to predict the fragility of stone before SWL. MATERIALS AND METHODS A total of 102 patients with a solitary renal and upper ureteral stone of less than 3 cm treated at a single center with a lithotriptor were included. Prior to SWL all patients underwent dual x-ray absorptiometry evaluation for SMC and SMD. Plain x-ray documented disintegration after SWL. Stone size and site, the number of shock waves and energy levels were recorded. Failure was defined as no fragmentation to a size of less than 4 mm, which would pass unaided, up to a maximum of 3,000 shock waves. RESULTS Overall 94 patients with renal stones were included. Mean stone size was 16.68 +/- 7 mm (range 5 to 30). Mean and median SMC was 0.63 +/- 0.83 and 0.34 gm (range 0.01 to 5.54), and mean and median SMD was 0.48 +/- 0.19 and 0.46 gm/cm2 (range 0.05 to 1.12), respectively. Overall 67 patients (71%) had successful fragmentation and clearance at a mean of 1,623.58 +/- 658.77 shock waves (range 355 to 3,000). On logistic regression analysis only SMC was the significant factor affecting the outcome in terms of fragmentation. At a SMC of more than 1.27 gm 95% of the stones would not fragment or needed more than 3,000 shock waves. CONCLUSIONS Patients with high stone mineral content (SMC greater than 1.27 gm) could be directly offered percutaneous nephrolithotomy, thus, avoiding the unnecessary cost of prior SWL.
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Affiliation(s)
- Anil Mandhani
- Department of Urology, Sanjay Ghandhi Post Graduate Institute of Medical Sciences, Lucknow, India.
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Batchelar DL, Chun SS, Wollin TA, Tan JK, Beiko DT, Cunningham IA, Denstedt JD. Predicting Urinary Stone Composition Using X-Ray Coherent Scatter: A Novel Technique With Potential Clinical Applications: . J Urol. [DOI: 10.1097/00005392-200207000-00088] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Batchelar DL, Chun SS, Wollin TA, Tan JK, Beiko DT, Cunningham IA, Denstedt JD. Predicting Urinary Stone Composition Using X-Ray Coherent Scatter: A Novel Technique With Potential Clinical Applications. J Urol 2002. [DOI: 10.1016/s0022-5347(05)64904-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Affiliation(s)
- Deidre L. Batchelar
- From the Imaging Research Laboratories, John P. Robarts Research Institute, and Department of Medical Biophysics and Division of Urology, University of Western Ontario, London, Ontario, and Division of Urology, University of Alberta, Edmonton, Alberta, Canada
| | - Samuel S. Chun
- From the Imaging Research Laboratories, John P. Robarts Research Institute, and Department of Medical Biophysics and Division of Urology, University of Western Ontario, London, Ontario, and Division of Urology, University of Alberta, Edmonton, Alberta, Canada
| | - Timothy A. Wollin
- From the Imaging Research Laboratories, John P. Robarts Research Institute, and Department of Medical Biophysics and Division of Urology, University of Western Ontario, London, Ontario, and Division of Urology, University of Alberta, Edmonton, Alberta, Canada
| | - James K. Tan
- From the Imaging Research Laboratories, John P. Robarts Research Institute, and Department of Medical Biophysics and Division of Urology, University of Western Ontario, London, Ontario, and Division of Urology, University of Alberta, Edmonton, Alberta, Canada
| | - Darren T. Beiko
- From the Imaging Research Laboratories, John P. Robarts Research Institute, and Department of Medical Biophysics and Division of Urology, University of Western Ontario, London, Ontario, and Division of Urology, University of Alberta, Edmonton, Alberta, Canada
| | - Ian A. Cunningham
- From the Imaging Research Laboratories, John P. Robarts Research Institute, and Department of Medical Biophysics and Division of Urology, University of Western Ontario, London, Ontario, and Division of Urology, University of Alberta, Edmonton, Alberta, Canada
| | - John D. Denstedt
- From the Imaging Research Laboratories, John P. Robarts Research Institute, and Department of Medical Biophysics and Division of Urology, University of Western Ontario, London, Ontario, and Division of Urology, University of Alberta, Edmonton, Alberta, Canada
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