Initial clinical assessment of CT-MRI image fusion software in localization of the prostate for 3D conformal radiation therapy

Kagawa, Kazufumi; Lee, William R.; Schultheiss, Timothy E.; Hunt, Margie A.; Shaer, Andrew H.; Hanks, Gerald E.

doi:10.1016/s0360-3016(96)00620-7

Cited by 157 publications

(78 citation statements)

References 13 publications

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“…The prostate volume comparisons between the CT‐based and MRI‐based prostate contours of our study are in agreement with previous studies. In our study, the mean volume ratio between CT‐based prostate volumes and the MR‐defined prostate volumes ranged from 1.11 to 1.45, which is consistent with the results of 1.10 to 1.32 in the previous studies 15, 16, 17, 31…”

Section: Discussionsupporting

confidence: 91%

Improved prostate delineation in prostate HDR brachytherapy with TRUS‐CT deformable registration technology: A pilot study with MRI validation

Yang

Rossi

Jani

et al. 2017

J Applied Clin Med Phys

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Accurate prostate delineation is essential to ensure proper target coverage and normal‐tissue sparing in prostate HDR brachytherapy. We have developed a prostate HDR brachytherapy technology that integrates intraoperative TRUS‐based prostate contour into HDR treatment planning through TRUS‐CT deformable registration (TCDR) to improve prostate contour accuracy. In a perspective study of 16 patients, we investigated the clinical feasibility as well as the performance of this TCDR‐based HDR approach. We compared the performance of the TCDR‐based approach with the conventional CT‐based HDR in terms of prostate contour accuracy using MRI as the gold standard. For all patients, the average Dice prostate volume overlap was 91.1 ± 2.3% between the TCDR‐based and the MRI‐defined prostate volumes. In a subset of eight patients, inter and intro‐observer reliability study was conducted among three experienced physicians (two radiation oncologists and one radiologist) for the TCDR‐based HDR approach. Overall, a 10 to 40% improvement in prostate volume accuracy can be achieved with the TCDR‐based approach as compared with the conventional CT‐based prostate volumes. The TCDR‐based prostate volumes match closely to the MRI‐defined prostate volumes for all 3 observers (mean volume difference: 0.5 ± 7.2%, 1.8 ± 7.2%, and 3.5 ± 5.1%); while CT‐based contours overestimated prostate volumes by 10.9 ± 28.7%, 13.7 ± 20.1%, and 44.7 ± 32.1%. This study has shown that the TCDR‐based HDR brachytherapy is clinically feasible and can significantly improve prostate contour accuracy over the conventional CT‐based prostate contour. We also demonstrated the reliability of the TCDR‐based prostate delineation. This TCDR‐based HDR approach has the potential to enable accurate dose planning and delivery, and potentially enhance prostate HDR treatment outcome.

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Section: Discussionsupporting

confidence: 91%

Improved prostate delineation in prostate HDR brachytherapy with TRUS‐CT deformable registration technology: A pilot study with MRI validation

Yang

Rossi

Jani

et al. 2017

J Applied Clin Med Phys

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“…[37][38][39] Clearly more work is needed in this area, with real potential to reduce morbidity by minimizing the doses of radiation delivered not only to the rectum, bladder, and penis (see discussion below) but also muscles that may control sphincter function. Accurately defining subregions within the prostate that contain the largest concentration of tumor could in theory help guide therapy because these are the regions most likely to be sites of recurrences after radiotherapy.…”

Section: Accurately Defining the Prostate And Intraprostatic Diseasementioning

confidence: 99%

Advances in Radiation Therapy: Conventional to 3D, to IMRT, to 4D, and Beyond

Bucci

Bevan

Roach

2005

CA: A Cancer Journal for Clinicians

287

182

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Modern advances in computers have fueled parallel advances in imaging technologies. The improvements in imaging have in turn allowed a higher level of complexity to be incorporated into radiotherapy treatment planning systems. As a result of these changes, the delivery of radiotherapy evolved from therapy designed based primarily on plain (two dimensional) x-ray images and hand calculations to three-dimensional x-ray based images incorporating increasingly complex computer algorithms. More recently, biologic variables based on differences between tumor metabolism, tumor antigens, and normal tissues have been incorporated into the treatment process. In addition, greater awareness of the challenges to the accuracy of the treatment planning process, such as problems with set-error and organ movement, have begun to be systematically addressed, ushering in an era of so-called FourDimensional Radiotherapy. This review article discusses how these advances have changed the way the most common neoplasms are treated now and will be treated in the near future. (CA Cancer J Clin 2005;55:117-134.)

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“…( 37 ) However, if the prostate has translated or has become slightly deformed with respect to surrounding anatomy between imaging studies, rigid registration may not result in accurate overlap of the MRI and CT prostate volumes. Deformable registration has the potential to further improve target delineation by accounting for internal prostate motion.…”

Section: Methodsmentioning

confidence: 99%

“…It has been demonstrated through independent studies that contoured prostate volumes are greater in CT than in MRI images. ( 37 , 40 ) Kagawa et al ( 37 ) observed that CT contours often erroneously included sections of seminal vesicles, the base of the bladder, adjacent structures such as venous plexus and fibromuscular stroma, neurovascular bundles, and the anterior rectal wall. In fact, inter‐modality variation has been demonstrated to exceed inter‐observer variation ( 40 ) and its consequences should influence the procedural design of this study.…”

Section: Methodsmentioning

confidence: 99%

Assessment of a commercially available automatic deformable registration system

Fallone

Rivest

Riauka

et al. 2010

J Applied Clin Med Phys

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In recent years, a number of approaches have been applied to the problem of deformable registration validation. However, the challenge of assessing a commercial deformable registration system – in particular, an automatic registration system in which the deformable transformation is not readily accessible – has not been addressed. Using a collection of novel and established methods, we have developed a comprehensive, four‐component protocol for the validation of automatic deformable image registration systems over a range of IGRT applications. The protocol, which was applied to the Reveal‐MVS system, initially consists of a phantom study for determination of the system's general tendencies, while relative comparison of different registration settings is achieved through postregistration similarity measure evaluation. Synthetic transformations and contour‐based metrics are used for absolute verification of the system's intra‐modality and inter‐modality capabilities, respectively. Results suggest that the commercial system is more apt to account for global deformations than local variations when performing deformable image registration. Although the protocol was used to assess the capabilities of the Reveal‐MVS system, it can readily be applied to other commercial systems. The protocol is by no means static or definitive, and can be further expanded to investigate other potential deformable registration applications.PACS numbers: 87.19.xj, 87.56.Da, 87.57.nj

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Initial clinical assessment of CT-MRI image fusion software in localization of the prostate for 3D conformal radiation therapy

Cited by 157 publications

References 13 publications

Improved prostate delineation in prostate HDR brachytherapy with TRUS‐CT deformable registration technology: A pilot study with MRI validation

Improved prostate delineation in prostate HDR brachytherapy with TRUS‐CT deformable registration technology: A pilot study with MRI validation

Advances in Radiation Therapy: Conventional to 3D, to IMRT, to 4D, and Beyond

Assessment of a commercially available automatic deformable registration system

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