Accuracy of In-Vivo Assessment of Prostatic Volume by MRI and Transrectal Ultrasonography

Rahmouni, Alain; Yang, Andrew; Tempany, Clare M.; Frenkel, Tanya L.; Epstein, Jonathan I.; Walsh, Patrick C.; Leichner, Peter K.; Ricci, Claudio; Zerhouni, Elias A.

doi:10.1097/00004728-199211000-00020

Cited by 112 publications

(64 citation statements)

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“…Despite the strong correlation between specimen weight and true volume, seminal vesicle size can vary substantially between patients, resulting in a small source of error in our study. We recognize concerns about the use of prostatectomy specimens as the reference standard considering the potential ex vivo blood loss and the inclusion of periprostatic tissue ( 37 ). Future prospective studies with more precise pathologic analysis (removal of seminal vesicles and periprostatic tissue, immediate weight measurement) may yield additional information on the accuracy of in vivo volume estimates with MFA and MR imaging.…”

Section: Genitourinary Imaging: Computer-derived Prostate Volumes Fromentioning

confidence: 99%

Automated Computer-derived Prostate Volumes from MR Imaging Data: Comparison with Radiologist-derived MR Imaging and Pathologic Specimen Volumes

Bulman¹,

Tóth²,

Patel

et al. 2012

Radiology

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Purpose:To compare prostate gland volume (PV) estimation of automated computer-generated multifeature active shape models (MFAs) performed with 3-T magnetic resonance (MR) imaging with that of other methods of PV assessment, with pathologic specimens as the reference standard. Materials and Methods:All subjects provided written informed consent for this HIPAA-compliant and institutional review board-approved study. Freshly weighed prostatectomy specimens from 91 patients (mean age, 59 years; range, 42-84 years) served as the reference standard. PVs were manually calculated by two independent readers from MR images by using the standard ellipsoid formula. Planimetry PV was calculated from gland areas generated by two independent investigators by using manually drawn regions of interest.Computer-automated assessment of PV with an MFA was determined by the aggregate computer-calculated prostate area over the range of axial T2-weighted prostate MR images. Linear regression, linear mixed-effects models, concordance correlation coeffi cients, and Bland-Altman limits of agreement were used to compare volume estimation methods. Results:MFA-derived PVs had the best correlation with pathologic specimen PVs (slope, 0.888). Planimetry derived volumes produced slopes of 0.864 and 0.804 for two independent readers when compared with specimen PVs. Ellipsoid formula-derived PVs had slopes closest to one when compared with planimetry PVs. Manual MR imaging and MFA PV estimates had high concordance correlation coefficients with pathologic specimens. Conclusion:MFAs with axial T2-weighted MR imaging provided an automated and effi cient tool with which to assess PV. Both MFAs and MR imaging planimetry require adjustments for optimized PV accuracy when compared with prostatectomy specimens.q RSNA, 2012

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Section: Genitourinary Imaging: Computer-derived Prostate Volumes Fromentioning

confidence: 99%

Automated Computer-derived Prostate Volumes from MR Imaging Data: Comparison with Radiologist-derived MR Imaging and Pathologic Specimen Volumes

Bulman¹,

Tóth²,

Patel

et al. 2012

Radiology

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“…Studies have shown that prostate volume estimation using the conventional HWL method has not been very accurate (Littrup et al 1991;Rahmouni et al 1992;Terris et al 1991. This is largely due to the fact that the HWL method assumes that prostate is a simple ellipsoid, which is not true.…”

Section: Discussionmentioning

confidence: 99%

Three-dimensional ultrasound imaging of the prostate

Fenster¹,

Downey²

1998

SPIE Proceedings

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“…The most common implementation of this technique is step-section planimetry, where it is assumed that the cross-sections are parallel. There are numerous reports which indicate that step-section planimetry is much more accurate than ellipsoid or other geometrical formulae [1,129,149,175]. The only exception to this is [174], where step-section planimetry is compared with sixteen equations for measuring prostatic volume and it is found that using π 6 (transverse diameter) 2 (anteroposterior diameter) is marginally more accurate than planimetry; however, this result is not applied to an independent data set.…”

Section: Volume From Area Measurementsmentioning

confidence: 94%

Volume Measurement in Sequential Freehand 3-D Ultrasound

Treece

Prager

Gee

et al. 1999

Lecture Notes in Computer Science

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SummaryThree-dimensional (3D) acquisition and visualisation techniques are increasingly being incorporated into commercial ultrasound scanners. The diagnostic benefit of such techniques is not yet convincing, compared to the added inconvenience of using them. Although it is straightforward to use special probes to acquire 3D data, these are more restrictive than conventional 2D probes. The only 3D technique which retains the scanning flexibility and wide area of application of 2D ultrasound, is freehand 3D ultrasound, where a 2D probe is moved manually and its location sensed remotely. However, it is hard to generate a regular volume of data from the resulting non-parallel ultrasound images.Probably the largest body of evidence justifying the use of 3D ultrasound relates to the accurate measurement of volume. However, volume measurement with 3D ultrasound requires segmentation (i.e. outlining of the area of interest), which is a time consuming, manual task. Both this problem, and that of creating a regular volume of data, are eased by the use of sequential freehand 3D ultrasound, a recent technique amplified in this thesis, where all the processing is performed on the original ultrasound images. Thus a regular array of data is not required, and segmentation is performed on images whose features and artifacts are recognisable to the clinician.In this thesis, novel volume measurement and surface visualisation algorithms are developed for sequential freehand 3D ultrasound. A particular emphasis is placed on limiting the number of segmented cross-sections required for a given measurement accuracy. Inherent accuracy is demonstrated by simulation to be within ±2%, from 10 or fewer cross-sections. In vivo precision, including registration and segmentation errors, is shown to be within ±7%, even on complicated objects such as the liver or a foetus, from similar numbers of cross-sections. The volume can be updated in real-time as each image is segmented, and surfaces can be interpolated and visualised within a few seconds. Such visualisation can reveal errors in the segmentation which are otherwise hard to see.In addition, a framework for multiple-sweep data is developed, which allows volume measurement and surface visualisation of anatomy that can only be scanned by several sweeps of the ultrasound probe. Accurate volume measurements can therefore be made of all areas observable by conventional ultrasound. These measurements can be accomplished within approximately 5 minutes of examining the patient.The surface visualisation algorithms can also produce high quality renderings of data from a wide range of sources in medical imaging and other fields. The interpolation of cross-sections is an improvement on shape-based interpolation, and the triangular mesh created from the data is of a much higher quality than that using marching cubes. An extension of the surface interpolation algorithm can also be used to gradually change, or 'morph' one 3D surface to another, a technique commonly used in the film industry.

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Accuracy of In-Vivo Assessment of Prostatic Volume by MRI and Transrectal Ultrasonography

Cited by 112 publications

References 0 publications

Automated Computer-derived Prostate Volumes from MR Imaging Data: Comparison with Radiologist-derived MR Imaging and Pathologic Specimen Volumes

Automated Computer-derived Prostate Volumes from MR Imaging Data: Comparison with Radiologist-derived MR Imaging and Pathologic Specimen Volumes

Three-dimensional ultrasound imaging of the prostate

Volume Measurement in Sequential Freehand 3-D Ultrasound

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