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Washington I, Palm RF, White J, Rosenberg SA, Ataya D. The Role of MRI in Breast Cancer and Breast Conservation Therapy. Cancers (Basel) 2024; 16:2122. [PMID: 38893241 PMCID: PMC11171236 DOI: 10.3390/cancers16112122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2024] [Revised: 05/19/2024] [Accepted: 05/24/2024] [Indexed: 06/21/2024] Open
Abstract
Contrast-enhanced breast MRI has an established role in aiding in the detection, evaluation, and management of breast cancer. This article discusses MRI sequences, the clinical utility of MRI, and how MRI has been evaluated for use in breast radiotherapy treatment planning. We highlight the contribution of MRI in the decision-making regarding selecting appropriate candidates for breast conservation therapy and review the emerging role of MRI-guided breast radiotherapy.
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Affiliation(s)
- Iman Washington
- Department of Radiation Oncology, H. Lee Moffitt Cancer Center & Research Institute, 12902 USF Magnolia Drive, Tampa, FL 33612, USA;
| | - Russell F. Palm
- Department of Radiation Oncology, H. Lee Moffitt Cancer Center & Research Institute, 12902 USF Magnolia Drive, Tampa, FL 33612, USA;
| | - Julia White
- Department of Radiation Oncology, The University of Kansas Medical Center, 4001 Rainbow Blvd, Kansas City, KS 66160, USA;
| | - Stephen A. Rosenberg
- Department of Radiation Therapy, H. Lee Moffitt Cancer Center & Research Institute, 12902 USF Magnolia Drive, Tampa, FL 33612, USA;
| | - Dana Ataya
- Department of Diagnostic Imaging and Interventional Radiology, H. Lee Moffitt Cancer Center & Research Institute, 10920 N. McKinley Drive, Tampa, FL 33612, USA;
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Vazquez R, Motovilova E, Winkler SA. Stretchable Sensor Materials Applicable to Radiofrequency Coil Design in Magnetic Resonance Imaging: A Review. SENSORS (BASEL, SWITZERLAND) 2024; 24:3390. [PMID: 38894182 PMCID: PMC11174967 DOI: 10.3390/s24113390] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/14/2024] [Revised: 05/19/2024] [Accepted: 05/21/2024] [Indexed: 06/21/2024]
Abstract
Wearable sensors are rapidly gaining influence in the diagnostics, monitoring, and treatment of disease, thereby improving patient outcomes. In this review, we aim to explore how these advances can be applied to magnetic resonance imaging (MRI). We begin by (i) introducing limitations in current flexible/stretchable RF coils and then move to the broader field of flexible sensor technology to identify translatable technologies. To this goal, we discuss (ii) emerging materials currently used for sensor substrates, (iii) stretchable conductive materials, (iv) pairing and matching of conductors with substrates, and (v) implementation of lumped elements such as capacitors. Applicable (vi) fabrication methods are presented, and the review concludes with a brief commentary on (vii) the implementation of the discussed sensor technologies in MRI coil applications. The main takeaway of our research is that a large body of work has led to exciting new sensor innovations allowing for stretchable wearables, but further exploration of materials and manufacturing techniques remains necessary, especially when applied to MRI diagnostics.
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Affiliation(s)
- Rigoberto Vazquez
- Department of Biomedical Engineering, Cornell University, Ithaca, NY 10065, USA
- Department of Radiology, Weill Cornell Medicine, New York, NY 10065, USA
| | | | - Simone Angela Winkler
- Department of Biomedical Engineering, Cornell University, Ithaca, NY 10065, USA
- Department of Radiology, Weill Cornell Medicine, New York, NY 10065, USA
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Isaieva K, Meullenet C, Vuissoz P, Fauvel M, Nohava L, Laistler E, Zeroual MA, Henrot P, Felblinger J, Odille F. Feasibility of online non-rigid motion correction for high-resolution supine breast MRI. Magn Reson Med 2023; 90:2130-2143. [PMID: 37379467 PMCID: PMC10953366 DOI: 10.1002/mrm.29768] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Revised: 05/11/2023] [Accepted: 05/31/2023] [Indexed: 06/30/2023]
Abstract
PURPOSE Conventional breast MRI is performed in the prone position with a dedicated coil. This allows high-resolution images without breast motion, but the patient position is inconsistent with that of other breast imaging modalities or interventions. Supine breast MRI may be an interesting alternative, but respiratory motion becomes an issue. Motion correction methods have typically been performed offline, for instance, the corrected images were not directly accessible from the scanner console. In this work, we seek to show the feasibility of a fast, online, motion-corrected reconstruction integrated into the clinical workflow. METHODS Fully sampled T2 -weighted (T2 w) and accelerated T1 -weighted (T1 w) breast supine MR images were acquired during free-breathing and were reconstructed using a non-rigid motion correction technique (generalized reconstruction by inversion of coupled systems). Online reconstruction was implemented using a dedicated system combining the MR raw data and respiratory signals from an external motion sensor. Reconstruction parameters were optimized on a parallel computing platform, and image quality was assessed by objective metrics and by radiologist scoring. RESULTS Online reconstruction time was 2 to 2.5 min. The metrics and the scores related to the motion artifacts significantly improved for both T2 w and T1 w sequences. The overall quality of T2 w images was approaching that of the prone images, whereas the quality of T1 w images remained significantly lower. CONCLUSION The proposed online algorithm allows a noticeable reduction of motion artifacts and an improvement of the diagnostic quality for supine breast imaging with a clinically acceptable reconstruction time. These findings serve as a starting point for further development aimed at improving the quality of T1 w images.
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Affiliation(s)
| | - Camille Meullenet
- Institut de Cancérologie de Lorraine Alexis VautrinVandoeuvre‐les‐NancyFrance
| | | | - Marc Fauvel
- CIC‐IT 1433, INSERM, CHRU de NancyNancyFrance
| | - Lena Nohava
- High Field MR Center, Center for Medical Physics and Biomedical EngineeringMedical University of ViennaViennaAustria
| | - Elmar Laistler
- High Field MR Center, Center for Medical Physics and Biomedical EngineeringMedical University of ViennaViennaAustria
| | | | - Philippe Henrot
- Institut de Cancérologie de Lorraine Alexis VautrinVandoeuvre‐les‐NancyFrance
| | - Jacques Felblinger
- IADI, Université de Lorraine, INSERM U1254NancyFrance
- CIC‐IT 1433, INSERM, CHRU de NancyNancyFrance
| | - Freddy Odille
- IADI, Université de Lorraine, INSERM U1254NancyFrance
- CIC‐IT 1433, INSERM, CHRU de NancyNancyFrance
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Obermann M, Nohava L, Frass-Kriegl R, Soanca O, Ginefri JC, Felblinger J, Clauser P, Baltzer PA, Laistler E. Panoramic Magnetic Resonance Imaging of the Breast With a Wearable Coil Vest. Invest Radiol 2023; 58:799-810. [PMID: 37227137 PMCID: PMC10581436 DOI: 10.1097/rli.0000000000000991] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Accepted: 04/21/2023] [Indexed: 05/26/2023]
Abstract
BACKGROUND Breast cancer, the most common malignant cancer in women worldwide, is typically diagnosed by x-ray mammography, which is an unpleasant procedure, has low sensitivity in women with dense breasts, and involves ionizing radiation. Breast magnetic resonance imaging (MRI) is the most sensitive imaging modality and works without ionizing radiation, but is currently constrained to the prone imaging position due to suboptimal hardware, therefore hampering the clinical workflow. OBJECTIVES The aim of this work is to improve image quality in breast MRI, to simplify the clinical workflow, shorten measurement time, and achieve consistency in breast shape with other procedures such as ultrasound, surgery, and radiation therapy. MATERIALS AND METHODS To this end, we propose "panoramic breast MRI"-an approach combining a wearable radiofrequency coil for 3 T breast MRI (the "BraCoil"), acquisition in the supine position, and a panoramic visualization of the images. We demonstrate the potential of panoramic breast MRI in a pilot study on 12 healthy volunteers and 1 patient, and compare it to the state of the art. RESULTS With the BraCoil, we demonstrate up to 3-fold signal-to-noise ratio compared with clinical standard coils and acceleration factors up to 6 × 4. Panoramic visualization of supine breast images reduces the number of slices to be viewed by a factor of 2-4. CONCLUSIONS Panoramic breast MRI allows for high-quality diagnostic imaging and facilitated correlation to other diagnostic and interventional procedures. The developed wearable radiofrequency coil in combination with dedicated image processing has the potential to improve patient comfort while enabling more time-efficient breast MRI compared with clinical coils.
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Moran CJ, Middione MJ, Mazzoli V, McKay-Nault JA, Guidon A, Waheed U, Rosen EL, Poplack SP, Rosenberg J, Ennis DB, Hargreaves BA, Daniel BL. Multishot Diffusion-Weighted MRI of the Breasts in the Supine vs. Prone Position. J Magn Reson Imaging 2023; 58:951-962. [PMID: 36583628 PMCID: PMC10310889 DOI: 10.1002/jmri.28582] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 12/12/2022] [Accepted: 12/12/2022] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND Diffusion-weighted imaging (DWI) may allow for breast cancer screening MRI without a contrast injection. Multishot methods improve prone DWI of the breasts but face different challenges in the supine position. PURPOSE To establish a multishot DWI (msDWI) protocol for supine breast MRI and to evaluate the performance of supine vs. prone msDWI. STUDY TYPE Prospective. POPULATION Protocol optimization: 10 healthy women (ages 22-56), supine vs. prone: 24 healthy women (ages 22-62) and five women (ages 29-61) with breast tumors. FIELD STRENGTH/SEQUENCE 3-T, protocol optimization msDWI: free-breathing (FB) 2-shots, FB 4-shots, respiratory-triggered (RT) 2-shots, RT 4-shots, supine vs. prone: RT 4-shot msDWI, T2-weighted fast-spin echo. ASSESSMENT Protocol optimization and supine vs. prone: three observers performed an image quality assessment of sharpness, aliasing, distortion (vs. T2), perceived SNR, and overall image quality (scale of 1-5). Apparent diffusion coefficients (ADCs) in fibroglandular tissue (FGT) and breast tumors were measured. STATISTICAL TESTS Effect of study variables on dichotomized ratings (4/5 vs. 1/2/3) and FGT ADCs were assessed with mixed-effects logistic regression. Interobserver agreement utilized Gwet's agreement coefficient (AC). Lesion ADCs were assessed by Bland-Altman analysis and concordance correlation (ρc ). P value <0.05 was considered statistically significant. RESULTS Protocol optimization: 4-shots significantly improved sharpness and distortion; RT significantly improved sharpness, aliasing, perceived SNR, and overall image quality. FGT ADCs were not significantly different between shots (P = 0.812), FB vs. RT (P = 0.591), or side (P = 0.574). Supine vs. prone: supine images were rated significantly higher for sharpness, aliasing, and overall image quality. FGT ADCs were significantly higher supine; lesion ADCs were highly correlated (ρc = 0.92). DATA CONCLUSION Based on image quality, supine msDWI outperformed prone msDWI. Lesion ADCs were highly correlated between the two positions, while FGT ADCs were higher in the supine position. EVIDENCE LEVEL 2. TECHNICAL EFFICACY Stage 1.
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Affiliation(s)
| | | | - Valentina Mazzoli
- Department of Radiology, Stanford University, Stanford, California, USA
| | | | - Arnaud Guidon
- Global MR Application and Workflow, GE Healthcare, Boston, Massachusetts, USA
| | - Uzma Waheed
- Department of Radiology, Stanford University, Stanford, California, USA
| | - Eric L. Rosen
- Department of Radiology, Stanford University, Stanford, California, USA
| | - Steven P. Poplack
- Department of Radiology, Stanford University, Stanford, California, USA
| | - Jarrett Rosenberg
- Department of Radiology, Stanford University, Stanford, California, USA
| | - Daniel B. Ennis
- Department of Radiology, Stanford University, Stanford, California, USA
| | - Brian A. Hargreaves
- Department of Radiology, Stanford University, Stanford, California, USA
- Department of Electrical Engineering, Stanford University, Stanford, California, USA
| | - Bruce L. Daniel
- Department of Radiology, Stanford University, Stanford, California, USA
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Virtual monochromatic spectral CT imaging in preoperative evaluations for intraductal spread of breast cancer: comparison with conventional CT and MRI. Jpn J Radiol 2023:10.1007/s11604-023-01392-4. [PMID: 36729189 DOI: 10.1007/s11604-023-01392-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Accepted: 01/11/2023] [Indexed: 02/03/2023]
Abstract
PURPOSE To investigate the efficacy of virtual monochromatic spectral computed tomography imaging (VMI) in the preoperative evaluation for intraductal spread of breast cancer. MATERIALS AND METHODS Twenty-four women who underwent spectral CT and were pathologically diagnosed with ductal carcinoma with a ≥ 2-cm noninvasive component were retrospectively enrolled in Group 1. Twenty-two women with 22 lesions pathologically diagnosed with ductal carcinoma in situ or microinvasive carcinoma were enrolled in Group 2. We compared the contrast-to-noise ratios (CNRs) of the lesions on conventional 120-kVp CT images and 40-keV VMIs in Group 1. Two board-certified radiologists measured the maximum diameters of enhancing areas on 120-kVp CT, 40-keV VMI, and MRI in Group 2 and compared with histopathological sizes. RESULTS The quantitative assessment of Group 1 revealed that the mean ± SD of the CNRs in the 40-keV images were significantly greater than those in the 120-kVp images (5.5 ± 1.9 vs. 3.6 ± 1.5, p < 0.0001). The quantitative assessment of Group 2 demonstrated that the lesion size observed in the conventional 120-kVp CT images by both readers was significantly underestimated as compared to the histopathological size (p = 0.017, 0.048), whereas both readers identified no significant differences between the lesion size measured on 40-keV VMI and the histopathological data. In a comparison with MRI, 40-keV VMI provided measurement within a 10-mm error range in more lesions as compared to the conventional 120-kVp CT. CONCLUSION VMI improves the evaluation of intraductal spread and is useful for the preoperative evaluations of breast cancer.
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Richey WL, Heiselman JS, Ringel MJ, Meszoely IM, Miga MI. Computational Imaging to Compensate for Soft-Tissue Deformations in Image-Guided Breast Conserving Surgery. IEEE Trans Biomed Eng 2022; 69:3760-3771. [PMID: 35604993 PMCID: PMC9811993 DOI: 10.1109/tbme.2022.3177044] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
OBJECTIVE During breast conserving surgery (BCS), magnetic resonance (MR) images aligned to accurately display intraoperative lesion locations can offer improved understanding of tumor extent and position relative to breast anatomy. Unfortunately, even under consistent supine conditions, soft tissue deformation compromises image-to-physical alignment and results in positional errors. METHODS A finite element inverse modeling technique has been developed to nonrigidly register preoperative supine MR imaging data to the surgical scene for improved localization accuracy during surgery. Registration is driven using sparse data compatible with acquisition during BCS, including corresponding surface fiducials, sparse chest wall contours, and the intra-fiducial skin surface. Deformation predictions were evaluated at surface fiducial locations and subsurface tissue features that were expertly identified and tracked. Among n = 7 different human subjects, an average of 22 ± 3 distributed subsurface targets were analyzed in each breast volume. RESULTS The average target registration error (TRE) decreased significantly when comparing rigid registration to this nonrigid approach (10.4 ± 2.3 mm vs 6.3 ± 1.4 mm TRE, respectively). When including a single subsurface feature as additional input data, the TRE significantly improved further (4.2 ± 1.0 mm TRE), and in a region of interest within 15 mm of a mock biopsy clip TRE was 3.9 ± 0.9 mm. CONCLUSION These results demonstrate accurate breast deformation estimates based on sparse-data-driven model predictions. SIGNIFICANCE The data suggest that a computational imaging approach can account for image-to-surgery shape changes to enhance surgical guidance during BCS.
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Richey WL, Heiselman J, Ringel M, Meszoely IM, Miga MI. Tumor deformation correction for an image guidance system in breast conserving surgery. PROCEEDINGS OF SPIE--THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING 2022; 12034:120340K. [PMID: 35611302 PMCID: PMC9126640 DOI: 10.1117/12.2611570] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Breast cancer is the most common cancer in women, and surgical resection is standard of care for the majority of breast cancer patients. Unfortunately, current reoperation rates are 10-29%. Uncertainty in lesion localization is one of the main factors contributing to these high reoperation rates. This work uses the linearized iterative boundary reconstruction approach to model patient breast deformation due to abduction of the ipsilateral arm. A preoperative supine magnetic resonance (MR) image was obtained with the patient's arms down near the torso. A mock intraoperative breast shape was measured from a supine MR image obtained with the patient's arm up near the head. Sparse data was subsampled from the full volumetric image to represent realistic intraoperative data collection: surface fiducial points, the intra-fiducial skin surface, and the chest wall as measured with 7 tracked ultrasound images. The deformed preoperative arm-down data was compared to the ground truth arm-up data. From rigid registration to model correction the tumor centroid distance improves from 7.3 mm to 3.3 mm, average surface fiducial error across 9 synthetic fiducials and the nipple improves from 7.4 ± 2.2 to 1.3 ± 0.7, and average subsurface error across 14 corresponding features improves from 6.2 ± 1.4 mm to 3.5 ± 1.1 mm. Using preoperative supine MR imaging and sparse data in the deformed position, this modeling framework can correct for breast shape changes between imaging and surgery to more accurately predict intraoperative position of the tumor as well as 10 surface fiducials and 14 subsurface features.
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Affiliation(s)
- Winona L Richey
- Vanderbilt University, Department of Biomedical Engineering, Nashville, TN USA
| | - Jon Heiselman
- Vanderbilt University, Department of Biomedical Engineering, Nashville, TN USA
| | - Morgan Ringel
- Vanderbilt University, Department of Biomedical Engineering, Nashville, TN USA
| | - Ingrid M Meszoely
- Vanderbilt University Medical Center, Division of Surgical Oncology, Nashville, TN USA
| | - Michael I Miga
- Vanderbilt University, Department of Biomedical Engineering, Nashville, TN USA
- Vanderbilt University Department of Radiology and Radiological Sciences, Nashville, TN USA
- Vanderbilt Institute for Surgery and Engineering, Nashville, TN USA
- Vanderbilt University Medical Center, Department of Neurological Surgery, Nashville, TN USA
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Prvulovic Bunovic N, Sveljo O, Kozic D, Boban J. Is Elevated Choline on Magnetic Resonance Spectroscopy a Reliable Marker of Breast Lesion Malignancy? Front Oncol 2021; 11:610354. [PMID: 34567998 PMCID: PMC8462297 DOI: 10.3389/fonc.2021.610354] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2020] [Accepted: 08/20/2021] [Indexed: 12/15/2022] Open
Abstract
Background Contemporary magnetic resonance imaging (MRI) of the breast represents a powerful diagnostic modality for cancer detection, with excellent sensitivity and high specificity. Magnetic resonance spectroscopy (MRS) is being explored as an additional tool for improving specificity in breast cancer detection, using multiparametric MRI. The aim of this study was to examine the possibility of 1H-MRS to discriminate malignant from benign breast lesions, using elevated choline (Cho) peak as an imaging biomarker. Methods A total of 60 patients were included in this prospective study: 30 with malignant (average age, 55.2 years; average lesion size, 35 mm) and 30 with benign breast lesions (average age, 44.8 years; average lesion size, 20 mm), who underwent multiparametric MRI with multivoxel 3D 1H-MRS on a 1.5-T scanner in a 3-year period. Three patients with benign breast lesions were excluded from the study. All lesions were histologically verified. Peaks identified on 1H-MRS were lipid (0.9, 2.3, 2.8, and 5.2 ppm), choline (3.2 ppm), and water peaks (4.7 ppm). Sensitivity and specificity, as well as positive and negative predictive values, were defined using ROC curves. Cohen's Kappa test of inter-test reliability was performed [testing the agreement between 1H-MRS and histologic finding, and 1H-MRS and MR mammography (MRM)]. Results Choline peak was elevated in 24/30 malignant lesions and in 20/27 benign breast lesions. The sensitivity of 1H-MRS was 0.8, specificity was 0.741, positive predictive value was 0.774, and negative predictive value was 0.769. Area under ROC was 0.77 (CI 0.640-0.871). Inter-test reliability between 1H-MRS and histologic finding was 0.543 (moderate agreement) and that between 1H-MRS and MRM was 0.573 (moderate agreement). False-negative findings were most frequently observed in invasive lobular cancers, while false-positive findings were most frequently observed in adenoid fibroadenomas. Conclusion Although elevation of the choline peak has a good sensitivity and specificity in breast cancer detection, both are significantly lower than those of multiparametric MRM. Inclusion of spectra located on tumor margins as well as analysis of lipid peaks could aid both sensitivity and specificity. An important ratio of false-positive and false-negative findings in specific types of breast lesions (lobular cancer and adenoid fibroadenoma) suggests interpreting these lesions with a caveat.
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Affiliation(s)
- Natasa Prvulovic Bunovic
- Department of Radiology, Faculty of Medicine, University of Novi Sad, Novi Sad, Serbia.,Center for Diagnostic Imaging, Oncology Institute of Vojvodina, Sremska Kamenica, Serbia
| | - Olivera Sveljo
- Center for Diagnostic Imaging, Oncology Institute of Vojvodina, Sremska Kamenica, Serbia.,Department for Telecommunications and Signal Processing, Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia
| | - Dusko Kozic
- Department of Radiology, Faculty of Medicine, University of Novi Sad, Novi Sad, Serbia.,Center for Diagnostic Imaging, Oncology Institute of Vojvodina, Sremska Kamenica, Serbia
| | - Jasmina Boban
- Department of Radiology, Faculty of Medicine, University of Novi Sad, Novi Sad, Serbia.,Center for Diagnostic Imaging, Oncology Institute of Vojvodina, Sremska Kamenica, Serbia
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Accuracy evaluation of a 3D printing surgical guide for breast-conserving surgery using a realistic breast phantom. Comput Biol Med 2021; 137:104784. [PMID: 34438204 DOI: 10.1016/j.compbiomed.2021.104784] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Revised: 08/04/2021] [Accepted: 08/17/2021] [Indexed: 11/22/2022]
Abstract
To prevent recurrence after breast-conserving surgery (BCS), it is imperative to secure a clear resection margin, and magnetic resonance imaging (MRI) is useful for predicting this. Although MRI is highly accurate in predicting the extent of a tumor, it is difficult to quantitatively mark the tumor area directly on the patient's breast skin using MRI. Therefore, we developed a 3D-printed breast surgical guide (3DP-BSG). The 3DP-BGS is positioned on the breast using the guideline pointing to the opposite nipple and clavicle notch, centering on the nipple of the breast with the tumor. Then, the tumor was visualized by injecting blue-dye into the breast along the guide's columns using a syringe. For the quantitative evaluation of 3DP-BSG, the experiment must be done in the simulated environment. However, since it is difficult to construct the environment in the clinical field, we have fabricated a realistic breast phantom using an MRI. For modeling the 3DP-BSG, the phantom was scanned using computed tomography (CT), and. Based on these images, the 3DP-BSG was modeled to mark a 5-mm safety margin on a patient's breast skin by inserting a 16-gauge intravenous catheter. Then, the breast phantom was scanned by CT for quantitative evaluation. The insertion point measurement error (mean ± standard deviation) was 2.513 ± 0.914 mm, and the cosine similarity of the trajectories was 0.997 ± 0.005. This 3DP-BSG exhibits high accuracy in tumor targeting and is expected to facilitate precise BCS by providing a quantitative measure of the tumor area to surgeons.
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11
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Xue C, Tang FH, Lai CWK, Grimm LJ, Lo JY. Multimodal Patient-Specific Registration for Breast Imaging Using Biomechanical Modeling with Reference to AI Evaluation of Breast Tumor Change. Life (Basel) 2021; 11:life11080747. [PMID: 34440490 PMCID: PMC8401473 DOI: 10.3390/life11080747] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Revised: 07/23/2021] [Accepted: 07/23/2021] [Indexed: 11/16/2022] Open
Abstract
Background: The strategy to combat the problem associated with large deformations in the breast due to the difference in the medical imaging of patient posture plays a vital role in multimodal medical image registration with artificial intelligence (AI) initiatives. How to build a breast biomechanical model simulating the large-scale deformation of soft tissue remains a challenge but is highly desirable. Methods: This study proposed a hybrid individual-specific registration model of the breast combining finite element analysis, property optimization, and affine transformation to register breast images. During the registration process, the mechanical properties of the breast tissues were individually assigned using an optimization process, which allowed the model to become patient specific. Evaluation and results: The proposed method has been extensively tested on two datasets collected from two independent institutions, one from America and another from Hong Kong. Conclusions: Our method can accurately predict the deformation of breasts from the supine to prone position for both the Hong Kong and American samples, with a small target registration error of lesions.
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Affiliation(s)
- Cheng Xue
- School of Medical and Health Sciences, Tung Wah College, Hong Kong, China;
| | - Fuk-Hay Tang
- School of Medical and Health Sciences, Tung Wah College, Hong Kong, China;
- Correspondence:
| | - Christopher W. K. Lai
- Health and Social Sciences, Singapore Institute of Technology, Singapore 138683, Singapore;
| | - Lars J. Grimm
- Carl E. Ravin Advanced Imaging Laboratories, Department of Radiology, Duke University Medical Center, Durham, NC 27705, USA; (L.J.G.); (J.Y.L.)
| | - Joseph Y. Lo
- Carl E. Ravin Advanced Imaging Laboratories, Department of Radiology, Duke University Medical Center, Durham, NC 27705, USA; (L.J.G.); (J.Y.L.)
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Clinical Assessment of Breast Volume: Can 3D Imaging Be the Gold Standard? PLASTIC AND RECONSTRUCTIVE SURGERY-GLOBAL OPEN 2020; 8:e3236. [PMID: 33299702 PMCID: PMC7722547 DOI: 10.1097/gox.0000000000003236] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2020] [Accepted: 09/14/2020] [Indexed: 11/26/2022]
Abstract
Background: Three-dimensional (3D) camera systems are increasingly used for computerized volume calculations. In this study we investigate whether the Vectra XT 3D imaging system is a reliable tool for determination of breast volume in clinical practice. It is compared with the current gold standard in literature, magnetic resonance imaging (MRI), and current clinical practice (plastic surgeon’s clinical estimation). Methods: Breast volumes of 29 patients (53 breasts) were evaluated. 3D images were acquired by Vectra XT 3D imaging system. Pre-existing breast MRI images were collected. Both imaging techniques were used for volume analyses, calculated by two independent investigators. Breast volume estimations were done by plastic surgeons during outpatient consultations. All volume measurements were compared using paired samples t-test, intra-class correlation coefficient, Pearson’s correlation, and Bland–Altman analysis. Results: Two 3D breast volume measurements showed an excellent reliability (intra-class correlation coefficient: 0.991), which was comparable to the reliability of MRI measurements (intra-class correlation coefficient: 0.990). Mean (SD) breast volume measured with 3D breast volume was 454 cm3 (157) and with MRI was 687 cm3 (312). These volumes were significantly different, but a linear association could be found: y(MRI) = 1.58 × (3D) – 40. Three-dimensional breast volume was not significantly different from volume estimation made by plastic surgeons (472 cm3 (69), P = 0.323). Conclusions: The 3D imaging system measures lower volumes for breasts than MRI. However, 3D measurements show a linear association with MRI and have excellent reliability, making them an objective and reproducible measuring method suitable for clinical practice.
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Gao P, Kong X, Song Y, Song Y, Fang Y, Ouyang H, Wang J. Recent Progress for the Techniques of MRI-Guided Breast Interventions and their applications on Surgical Strategy. J Cancer 2020; 11:4671-4682. [PMID: 32626513 PMCID: PMC7330700 DOI: 10.7150/jca.46329] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2020] [Accepted: 05/09/2020] [Indexed: 01/20/2023] Open
Abstract
With a high sensitivity of breast lesions, MRI can detect suspicious lesions which are occult in traditional breast examination equipment. However, the lower and variable specificity of MRI makes the MRI-guided intervention, including biopsies and localizations, necessary before surgery, especially for patients who need the treatment of breast-conserving surgery (BCS). MRI techniques and patient preparation should be first carefully considered before the intervention to avoid lengthening the procedure time and compromising targeting accuracy. Doctors and radiologists need to reconfirm the target of the lesion and be very familiar with the process approach and equipment techniques involving the computer-aided diagnosis (CAD) tools and the biopsy system and follow a correct way. The basic steps of MRI-guided biopsy and localization are nearly the same regardless of the vendor or platform, and this article systematically introduces detailed methods and techniques of MRI-guided intervention. The two interventions both face different challenging situations during procedures with solutions given in the article. Post-operative statistics show that the complications of MRI-guided intervention are infrequent and mild, and MRI-guided biopsy provides the pathological information for the subsequent surgical decisions and MRI-guided localization fully prepared for follow-up surgical biopsy. New techniques for MRI-guided intervention are also elaborated in the article, which leads to future development. In a word, MRI-guided intervention is a safe, accurate, and effective technique with a low complication rate and successful MRI-guided intervention is truly teamwork with efforts from patients to surgeons, radiologists, MRI technologists, and nurses.
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Affiliation(s)
- Peng Gao
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Xiangyi Kong
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Ying Song
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Yan Song
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Yi Fang
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Han Ouyang
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Jing Wang
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
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14
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Efficacy of Second-Look Ultrasound with MR Coregistration for Evaluating Additional Enhancing Lesions of the Breast: Review of the Literature. BIOMED RESEARCH INTERNATIONAL 2018; 2018:3896946. [PMID: 30420960 PMCID: PMC6215588 DOI: 10.1155/2018/3896946] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/14/2017] [Accepted: 09/26/2018] [Indexed: 01/06/2023]
Abstract
Contrast enhanced magnetic resonance imaging (CE-MRI) has acquired a central role in the field of diagnosis and evaluation of breast cancer due to its high sensitivity; on the other hand, MRI has shown a variable specificity because of the wide overlap between the imaging features of benign and malignant lesions. Therefore, when an additional breast lesion is identified at CE-MRI, a second look with targeted US is generally performed because it provides additional information to further characterise the target lesion and makes it possible to perform US-guided biopsies which are costless and more comfortable for patients compared with MRI-guided ones. Nevertheless, there is not always a correspondence between CE-MR findings and targeted US due to several factors including different operator's experience and position of patients. A new technique has recently been developed in order to overcome these limitations: US with MR coregistration, which can synchronise a sonography image and the MR image with multiplanar reconstruction (MPR) of the same section in real time. The aim of our study is to review the literature concerning the second look performed with this emerging and promising technique, showing both advantages and limitations in comparison with conventional targeted US.
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15
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Li X, Rispoli JV. Toward 7T breast MRI clinical study: safety assessment using simulation of heterogeneous breast models in RF exposure. Magn Reson Med 2018; 81:1307-1321. [PMID: 30216530 DOI: 10.1002/mrm.27395] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2018] [Revised: 04/19/2018] [Accepted: 05/17/2018] [Indexed: 12/27/2022]
Abstract
PURPOSE To facilitate assessment of RF power deposition and temperature rise within the breast, we present a method to seamlessly join heterogeneous breast models with standard whole-body models and demonstrate simulations at 7 T. METHODS Finite-difference time-domain electromagnetic and bioheat simulations are performed to analyze the specific absorption rate (SAR) and temperature rise distributions in 36 Breast Imaging Reporting and Data System (BI-RADS) categorized breast models fused to 2 female whole-body models while transmitting from a 7T breast volume coil. The breast models are uncompressed in the prone position and feature heterogeneous tissue contents; fusion with human models uses affine transformation and the level-set method. RESULTS The fusion method produces a continuous transient from the chest region to the posterior portion of breast models while preserving the original volume and shape of breast models. Simulation results of both Ella and Hanako models indicate that the maximum local SAR, partial body SAR, and local tissue temperature rise are positively correlated with both breast density and the highest BI-RADS density classification. Additionally, maximum local tissue temperature rise is positively correlated with maximum 10-g SAR values. CONCLUSION Fibroglandular tissue content plays an important role in the distribution of SAR and temperature rise within breast tissue. The combined body-breast models preserve the integrity of breast models while concurrently exhibiting the loading of whole-body human models. The procedures presented in this simulation study facilitate safety assessments for breast MRI across the population at both clinical and ultrahigh field strengths.
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Affiliation(s)
- Xin Li
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana
| | - Joseph V Rispoli
- Weldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana.,School of Electrical and Computer Engineering, Purdue University, West Lafayette, Indiana.,Purdue University Center for Cancer Research, Purdue University, West Lafayette, Indiana
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16
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Nissan N, Furman-Haran E, Allweis T, Menes T, Golan O, Kent V, Barsuk D, Paluch-Shimon S, Haas I, Brodsky M, Bordsky A, Granot LF, Halshtok-Neiman O, Faermann R, Shalmon A, Gotlieb M, Konen E, Sklair-Levy M. Noncontrast Breast MRI During Pregnancy Using Diffusion Tensor Imaging: A Feasibility Study. J Magn Reson Imaging 2018; 49:508-517. [DOI: 10.1002/jmri.26228] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2018] [Accepted: 06/01/2018] [Indexed: 01/09/2023] Open
Affiliation(s)
- Noam Nissan
- Department of Radiology; Sheba Medical Center; Israel
- Sackler School of Medicine; Tel Aviv University; Israel
| | - Edna Furman-Haran
- Department of Biological Services; Weizmann Institute of Science; Israel
| | - Tanir Allweis
- Department of General Surgery; Kaplan Medical Center; Israel
| | - Tehillah Menes
- Department of General Surgery; Souraski Medical Center; Israel
| | - Orit Golan
- Department of Radiology; Souraski Medical Center; Israel
| | - Varda Kent
- Department of Radiology; Assaf Harofeh Medical Center; Israel
| | - Daphna Barsuk
- Department of General Surgery; Assuta Medical Center; Israel
| | | | - Ilana Haas
- Department of General Surgery; Meir Medical Center; Israel
| | - Malka Brodsky
- Meirav Center of Breast Care, Sheba Medical Center; Israel
| | - Asia Bordsky
- Department of General Surgery; Bnai Zion Medical Center; Israel
| | | | - Osnat Halshtok-Neiman
- Department of Radiology; Sheba Medical Center; Israel
- Sackler School of Medicine; Tel Aviv University; Israel
| | - Renata Faermann
- Department of Radiology; Sheba Medical Center; Israel
- Sackler School of Medicine; Tel Aviv University; Israel
| | - Anat Shalmon
- Department of Radiology; Sheba Medical Center; Israel
- Sackler School of Medicine; Tel Aviv University; Israel
| | - Michael Gotlieb
- Department of Radiology; Sheba Medical Center; Israel
- Sackler School of Medicine; Tel Aviv University; Israel
| | - Eli Konen
- Department of Radiology; Sheba Medical Center; Israel
- Sackler School of Medicine; Tel Aviv University; Israel
| | - Miri Sklair-Levy
- Department of Radiology; Sheba Medical Center; Israel
- Sackler School of Medicine; Tel Aviv University; Israel
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17
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Joukainen S, Masarwah A, Könönen M, Husso M, Sutela A, Kärjä V, Vanninen R, Sudah M. Feasibility of mapping breast cancer with supine breast MRI in patients scheduled for oncoplastic surgery. Eur Radiol 2018; 29:1435-1443. [PMID: 30120494 DOI: 10.1007/s00330-018-5681-y] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2018] [Revised: 07/09/2018] [Accepted: 07/24/2018] [Indexed: 02/07/2023]
Abstract
OBJECTIVES To prospectively determine the feasibility of preoperative supine breast MRI in breast cancer patients scheduled for oncoplastic breast-conserving surgery. METHODS In addition to a diagnostic prone breast MRI, a supplementary supine MRI was performed with the patient in the surgical position including skin markers. Tumours' locations were ink-marked on the skin according to findings obtained from supine MRI. Changes in tumours' largest diameter and locations between prone and supine MRI were measured and compared to histology. Nipple-to-tumour and tumour-to-chest wall distances were also measured. Tumours and suspicious areas were surgically removed according to skin ink-markings. The differences between MRI measurements with reference to histopathology were evaluated with the paired-sample t test. RESULTS Fourteen consecutive patients, 15 breasts and 27 lesions were analysed. Compared to histology, prone MRI overestimated tumour size by 47.1% (p = 0.01) and supine MRI by 14.5% (p = 0.259). In supine MRI, lesions' mean diameters and areas were smaller compared to prone MRI (- 20.9%, p = 0.009 and - 38.3%, p = 0.016, respectively). This difference in diameter was more pronounced in non-mass lesions (- 31.2%, p = 0.031) compared to mass lesions (- 9.2%, p = 0.009). Tumours' mean distance from chest wall diminished by 69.4% (p < 0.001) and from nipple by 18.2% (p < 0.001). Free microscopic margins were achieved in first operation in all patients. CONCLUSIONS Supine MRI in the surgical position is feasible and useful in the precise localisation of prone MRI-detected lesions and provides a helpful tool to implement in surgery. Supine MRI more accurately determines tumours' size and location and might have an important role to diminish overestimations. KEY POINTS • Breath-hold supine breast MRI is feasible using commercially available coils and sequences. • Size and area of lesions on MRI were consistently smaller when measured from the supine position as compared to the prone position. • Supine breast MRI is useful in the precise preoperative localisation of prone MRI-detected lesions. •.
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Affiliation(s)
- S Joukainen
- Department of Surgery, Division of Plastic Surgery, Kuopio University Hospital, Puijonlaaksontie 2, 70210, Kuopio, Finland.
| | - A Masarwah
- Department of Clinical Radiology, Kuopio University Hospital, Puijonlaaksontie 2, 70210, Kuopio, Finland
| | - M Könönen
- Department of Clinical Radiology, Kuopio University Hospital, Puijonlaaksontie 2, 70210, Kuopio, Finland
| | - M Husso
- Department of Clinical Radiology, Kuopio University Hospital, Puijonlaaksontie 2, 70210, Kuopio, Finland
| | - A Sutela
- Department of Clinical Radiology, Kuopio University Hospital, Puijonlaaksontie 2, 70210, Kuopio, Finland
| | - V Kärjä
- Department of Pathology, Diagnostic Imaging Centre, Kuopio University Hospital, Puijonlaaksontie 2, 70210, Kuopio, Finland
| | - R Vanninen
- Department of Clinical Radiology, Kuopio University Hospital, Puijonlaaksontie 2, 70210, Kuopio, Finland
- Institute of Clinical Medicine, School of Medicine, Clinical Radiology, University of Eastern Finland, Yliopistonranta 1, 70210, Kuopio, Finland
- Cancer Center of Eastern Finland, University of Eastern Finland, Yliopistonranta 1, 70210, Kuopio, Finland
| | - M Sudah
- Department of Clinical Radiology, Kuopio University Hospital, Puijonlaaksontie 2, 70210, Kuopio, Finland
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18
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Griesenauer RH, Weis JA, Arlinghaus LR, Meszoely IM, Miga MI. Toward quantitative quasistatic elastography with a gravity-induced deformation source for image-guided breast surgery. J Med Imaging (Bellingham) 2018; 5:015003. [PMID: 29430479 DOI: 10.1117/1.jmi.5.1.015003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2017] [Accepted: 01/15/2018] [Indexed: 11/14/2022] Open
Abstract
Biomechanical breast models have been employed for applications in image registration and diagnostic analysis, breast augmentation simulation, and for surgical and biopsy guidance. Accurate applications of stress-strain relationships of tissue within the breast can improve the accuracy of biomechanical models that attempt to simulate breast deformations. Reported stiffness values for adipose, glandular, and cancerous tissue types vary greatly. Variations in reported stiffness properties have been attributed to differences in testing methodologies and assumptions, measurement errors, and natural interpatient differences in tissue elasticity. Therefore, the ability to determine patient-specific in vivo breast tissue properties would be advantageous for these procedural applications. While some in vivo elastography methods are not quantitative and others do not measure material properties under deformation conditions that are appropriate to the application of concern, in this study, we developed an elasticity estimation method that is performed using deformations representative of supine therapeutic procedures. More specifically, reconstruction of mechanical properties appropriate for the standard-of-care supine lumpectomy was performed by iteratively fitting two anatomical images before and after deformations taking place in the supine breast configuration. The method proposed is workflow-friendly, quantitative, and uses a noncontact, gravity-induced deformation source.
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Affiliation(s)
- Rebekah H Griesenauer
- Vanderbilt University, Department of Biomedical Engineering, Nashville, Tennessee, United States
| | - Jared A Weis
- Wake Forest School of Medicine, Department of Biomedical Engineering, Winston Salem, North Carolina, United States
| | - Lori R Arlinghaus
- Vanderbilt University Medical Center, Vanderbilt University Institute of Imaging Science, Nashville, Tennessee, United States
| | - Ingrid M Meszoely
- Vanderbilt University Medical Center, Department of Surgery, Nashville, Tennessee, United States
| | - Michael I Miga
- Vanderbilt University, Department of Biomedical Engineering, Nashville, Tennessee, United States.,Vanderbilt University Medical Center, Vanderbilt University Institute of Imaging Science, Nashville, Tennessee, United States.,Vanderbilt University, Vanderbilt Institute for Surgery and Engineering, Nashville, Tennessee, United States.,Vanderbilt University Medical Center, Department of Radiology and Radiological Sciences, Nashville, Tennessee, United States.,Vanderbilt University Medical Center, Department of Neurological Surgery, Nashville, Tennessee, United States
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19
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Janssen NN, ter Beek LC, Loo CE, Winter-Warnars G, Lange CA, van Loveren M, Alderliesten T, Sonke JJ, Nijkamp J. Supine Breast MRI Using Respiratory Triggering. Acad Radiol 2017; 24:818-825. [PMID: 28256441 DOI: 10.1016/j.acra.2017.01.003] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2016] [Revised: 01/06/2017] [Accepted: 01/07/2017] [Indexed: 10/20/2022]
Abstract
RATIONALE AND OBJECTIVES This study aims to evaluate if navigator-echo respiratory-triggered magnetic resonance acquisition can acquire supine high-quality breast magnetic resonance imaging (MRI). MATERIALS AND METHODS Supine respiratory-triggered magnetic resonance imaging (Trig-MRI) was compared to supine non-Trig-MRI to evaluate breathing-induced motion artifacts (group 1), and to conventional prone non-Trig-MRI (group 2, 16-channel breast coil), all at 3T. A 32-channel thorax coil was placed on top of a cover to prevent breast deformation. Ten volunteers were scanned in each group, including one patient. The acquisition time was recorded. Image quality was compared by visual examination and by calculation of signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), and image sharpness (IS). RESULTS Scan time increased from 56.5 seconds (non-Trig-MRI) to an average of 306 seconds with supine Trig-MRI (range: 120-540 seconds). In group 1, the median values (interquartile range) of SNR, CNR, and IS improved from 11.5 (6.0), 7.3 (3.1), and 0.23 (0.2) cm on supine non-Trig-MRI to 38.1 (29.1), 32.8 (29.7), and 0.12 (0) cm (all P < 0.01) on supine Trig-MRI. All qualitative image parameters in group 1 improved on supine Trig-MRI (all P < 0.01). In group 2, SNR and CNR improved from 14.7 (6.8) and 12.6 (5.6) on prone non-Trig-MRI to 36.2 (12.2) and 32.7 (12.1) (both P < 0.01) on supine Trig-MRI. IS was similar: 0.10 (0) cm vs 0.11 (0) cm (P = 0.88). CONCLUSIONS Acquisition of high-quality supine breast MRI is possible when respiratory triggering is applied, in a similar setup as during subsequent treatment. Image quality improved when compared to supine non-triggered breast MRI and prone breast MRI, but at the cost of increased acquisition time.
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20
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Tanaka A, Yamada A, Umeda T, Kaneko C, Shimizu T, Naka S, Tani T, Tani M. Predictive detection areas for identifying additional MRI-detected breast lesions on second-look ultrasonography. Surg Today 2017; 47:1321-1330. [PMID: 28421349 DOI: 10.1007/s00595-017-1523-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2016] [Accepted: 02/25/2017] [Indexed: 11/29/2022]
Abstract
PURPOSE Identifying an additional MRI-detected breast lesion on second-look ultrasonography (US) is technically challenging because of lesion displacement with the patient's position change. The aim of this study is to help identify MRI-detected lesions on second-look US by developing a probing area, called "the predictive detection area" (PDA), and by assessing the PDA. METHODS We measured the nipple-to-lesion distances (NLDs) for 16 breast lesions on prone- and supine-position MRI sets and calculated the difference and angle between the two NLD vectors, representing the lesion displacement. The minimum and maximum differences and angles were chosen to form the PDA. Another 22 breast lesions, detected in the prone MRI, were identified on US by probing the PDA to evaluate the probability of existence. RESULTS The width between the minimum and maximum differences in two NLDs and the angle to form the PDA for the upper-inner, upper-outer, and lower-outer quadrants were 23.0 mm and 95.0°, 29.0 mm and 41.0°, and 18.0 mm and 17.0°, respectively. The respective probabilities of existence were 100, 80, and 100%. CONCLUSIONS The PDA had a high probability of existence and was acceptably accurate; therefore, the PDA in a second-look US has the potential to help operators to quickly identify additional MRI-detected lesions.
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Affiliation(s)
- Akie Tanaka
- Department of Surgery, Shiga University of Medical Science, Seta Tsukinowa-cho, Otsu, Shiga, 520-2192, Japan
| | - Atsushi Yamada
- Biomedical Innovation Center, Shiga University of Medical Science, Seta Tsukinowa-cho, Otsu, Shiga, 520-2192, Japan
| | - Tomoko Umeda
- Department of Surgery, Shiga University of Medical Science, Seta Tsukinowa-cho, Otsu, Shiga, 520-2192, Japan.
| | - Chiaki Kaneko
- Department of Radiology, Shiga University of Medical Science, Seta Tsukinowa-cho, Otsu, Shiga, 520-2192, Japan
| | - Tomoharu Shimizu
- Department of Surgery, Shiga University of Medical Science, Seta Tsukinowa-cho, Otsu, Shiga, 520-2192, Japan
| | - Shigeyuki Naka
- Department of Surgery, Shiga University of Medical Science, Seta Tsukinowa-cho, Otsu, Shiga, 520-2192, Japan
| | - Tohru Tani
- Biomedical Innovation Center, Shiga University of Medical Science, Seta Tsukinowa-cho, Otsu, Shiga, 520-2192, Japan
| | - Masaji Tani
- Department of Surgery, Shiga University of Medical Science, Seta Tsukinowa-cho, Otsu, Shiga, 520-2192, Japan
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21
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Pogson EM, Delaney GP, Ahern V, Boxer MM, Chan C, David S, Dimigen M, Harvey JA, Koh ES, Lim K, Papadatos G, Yap ML, Batumalai V, Lazarus E, Dundas K, Shafiq J, Liney G, Moran C, Metcalfe P, Holloway L. Comparison of Magnetic Resonance Imaging and Computed Tomography for Breast Target Volume Delineation in Prone and Supine Positions. Int J Radiat Oncol Biol Phys 2016; 96:905-912. [PMID: 27788960 DOI: 10.1016/j.ijrobp.2016.08.002] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2016] [Revised: 07/26/2016] [Accepted: 08/01/2016] [Indexed: 11/27/2022]
Abstract
PURPOSE To determine whether T2-weighted MRI improves seroma cavity (SC) and whole breast (WB) interobserver conformity for radiation therapy purposes, compared with the gold standard of CT, both in the prone and supine positions. METHODS AND MATERIALS Eleven observers (2 radiologists and 9 radiation oncologists) delineated SC and WB clinical target volumes (CTVs) on T2-weighted MRI and CT supine and prone scans (4 scans per patient) for 33 patient datasets. Individual observer's volumes were compared using the Dice similarity coefficient, volume overlap index, center of mass shift, and Hausdorff distances. An average cavity visualization score was also determined. RESULTS Imaging modality did not affect interobserver variation for WB CTVs. Prone WB CTVs were larger in volume and more conformal than supine CTVs (on both MRI and CT). Seroma cavity volumes were larger on CT than on MRI. Seroma cavity volumes proved to be comparable in interobserver conformity in both modalities (volume overlap index of 0.57 (95% Confidence Interval (CI) 0.54-0.60) for CT supine and 0.52 (95% CI 0.48-0.56) for MRI supine, 0.56 (95% CI 0.53-0.59) for CT prone and 0.55 (95% CI 0.51-0.59) for MRI prone); however, after registering modalities together the intermodality variation (Dice similarity coefficient of 0.41 (95% CI 0.36-0.46) for supine and 0.38 (0.34-0.42) for prone) was larger than the interobserver variability for SC, despite the location typically remaining constant. CONCLUSIONS Magnetic resonance imaging interobserver variation was comparable to CT for the WB CTV and SC delineation, in both prone and supine positions. Although the cavity visualization score and interobserver concordance was not significantly higher for MRI than for CT, the SCs were smaller on MRI, potentially owing to clearer SC definition, especially on T2-weighted MR images.
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Affiliation(s)
- Elise M Pogson
- Centre for Medical Radiation Physics, Faculty of Engineering and Information Sciences, University of Wollongong, Wollongong, Australia; Liverpool and Macarthur Cancer Therapy Centres, Liverpool, Australia; Ingham Institute for Applied Medical Research, Liverpool, Australia
| | - Geoff P Delaney
- Liverpool and Macarthur Cancer Therapy Centres, Liverpool, Australia; Ingham Institute for Applied Medical Research, Liverpool, Australia; South Western Sydney Clinical School, University of New South Wales, Sydney, Australia; School of Medicine, University of Western Sydney, Sydney, Australia
| | - Verity Ahern
- Crown Princess Mary Cancer Care Centre, Westmead Hospital, Westmead, Australia
| | - Miriam M Boxer
- Liverpool and Macarthur Cancer Therapy Centres, Liverpool, Australia; South Western Sydney Clinical School, University of New South Wales, Sydney, Australia
| | - Christine Chan
- Department of Radiology, Liverpool Hospital, Liverpool, Australia
| | - Steven David
- Peter MacCallum Cancer Centre, Melbourne, Australia
| | - Marion Dimigen
- Department of Radiology, Liverpool Hospital, Liverpool, Australia
| | - Jennifer A Harvey
- School of Medicine, University of Queensland, Herston, Australia; Princess Alexandra Hospital, Woolloongabba, Australia
| | - Eng-Siew Koh
- Liverpool and Macarthur Cancer Therapy Centres, Liverpool, Australia; Ingham Institute for Applied Medical Research, Liverpool, Australia; South Western Sydney Clinical School, University of New South Wales, Sydney, Australia
| | - Karen Lim
- Liverpool and Macarthur Cancer Therapy Centres, Liverpool, Australia; South Western Sydney Clinical School, University of New South Wales, Sydney, Australia
| | - George Papadatos
- Liverpool and Macarthur Cancer Therapy Centres, Liverpool, Australia
| | - Mei Ling Yap
- Liverpool and Macarthur Cancer Therapy Centres, Liverpool, Australia; Ingham Institute for Applied Medical Research, Liverpool, Australia; South Western Sydney Clinical School, University of New South Wales, Sydney, Australia; School of Medicine, University of Western Sydney, Sydney, Australia
| | - Vikneswary Batumalai
- Liverpool and Macarthur Cancer Therapy Centres, Liverpool, Australia; Ingham Institute for Applied Medical Research, Liverpool, Australia; South Western Sydney Clinical School, University of New South Wales, Sydney, Australia
| | | | - Kylie Dundas
- Centre for Medical Radiation Physics, Faculty of Engineering and Information Sciences, University of Wollongong, Wollongong, Australia; Liverpool and Macarthur Cancer Therapy Centres, Liverpool, Australia; Ingham Institute for Applied Medical Research, Liverpool, Australia
| | - Jesmin Shafiq
- Ingham Institute for Applied Medical Research, Liverpool, Australia; South Western Sydney Clinical School, University of New South Wales, Sydney, Australia
| | - Gary Liney
- Centre for Medical Radiation Physics, Faculty of Engineering and Information Sciences, University of Wollongong, Wollongong, Australia; Liverpool and Macarthur Cancer Therapy Centres, Liverpool, Australia; Ingham Institute for Applied Medical Research, Liverpool, Australia
| | | | - Peter Metcalfe
- Centre for Medical Radiation Physics, Faculty of Engineering and Information Sciences, University of Wollongong, Wollongong, Australia; Liverpool and Macarthur Cancer Therapy Centres, Liverpool, Australia; Ingham Institute for Applied Medical Research, Liverpool, Australia
| | - Lois Holloway
- Centre for Medical Radiation Physics, Faculty of Engineering and Information Sciences, University of Wollongong, Wollongong, Australia; Liverpool and Macarthur Cancer Therapy Centres, Liverpool, Australia; Ingham Institute for Applied Medical Research, Liverpool, Australia; South Western Sydney Clinical School, University of New South Wales, Sydney, Australia.
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22
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Hipwell JH, Vavourakis V, Han L, Mertzanidou T, Eiben B, Hawkes DJ. A review of biomechanically informed breast image registration. Phys Med Biol 2016; 61:R1-31. [PMID: 26733349 DOI: 10.1088/0031-9155/61/2/r1] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Breast radiology encompasses the full range of imaging modalities from routine imaging via x-ray mammography, magnetic resonance imaging and ultrasound (both two- and three-dimensional), to more recent technologies such as digital breast tomosynthesis, and dedicated breast imaging systems for positron emission mammography and ultrasound tomography. In addition new and experimental modalities, such as Photoacoustics, Near Infrared Spectroscopy and Electrical Impedance Tomography etc, are emerging. The breast is a highly deformable structure however, and this greatly complicates visual comparison of imaging modalities for the purposes of breast screening, cancer diagnosis (including image guided biopsy), tumour staging, treatment monitoring, surgical planning and simulation of the effects of surgery and wound healing etc. Due primarily to the challenges posed by these gross, non-rigid deformations, development of automated methods which enable registration, and hence fusion, of information within and across breast imaging modalities, and between the images and the physical space of the breast during interventions, remains an active research field which has yet to translate suitable methods into clinical practice. This review describes current research in the field of breast biomechanical modelling and identifies relevant publications where the resulting models have been incorporated into breast image registration and simulation algorithms. Despite these developments there remain a number of issues that limit clinical application of biomechanical modelling. These include the accuracy of constitutive modelling, implementation of representative boundary conditions, failure to meet clinically acceptable levels of computational cost, challenges associated with automating patient-specific model generation (i.e. robust image segmentation and mesh generation) and the complexity of applying biomechanical modelling methods in routine clinical practice.
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Affiliation(s)
- John H Hipwell
- Centre for Medical Image Computing, Malet Place Engineering Building, University College London, Gower Street, London WC1E 6BT, UK
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Eiben B, Vavourakis V, Hipwell JH, Kabus S, Buelow T, Lorenz C, Mertzanidou T, Reis S, Williams NR, Keshtgar M, Hawkes DJ. Symmetric Biomechanically Guided Prone-to-Supine Breast Image Registration. Ann Biomed Eng 2015; 44:154-73. [PMID: 26577254 PMCID: PMC4690842 DOI: 10.1007/s10439-015-1496-z] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2015] [Accepted: 10/23/2015] [Indexed: 10/27/2022]
Abstract
Prone-to-supine breast image registration has potential application in the fields of surgical and radiotherapy planning, image guided interventions, and multi-modal cancer diagnosis, staging, and therapy response prediction. However, breast image registration of three dimensional images acquired in different patient positions is a challenging problem, due to large deformations induced to the soft breast tissue caused by the change in gravity loading. We present a symmetric, biomechanical simulation based registration framework which aligns the images in a central, virtually unloaded configuration. The breast tissue is modelled as a neo-Hookean material and gravity is considered as the main source of deformation in the original images. In addition to gravity, our framework successively applies image derived forces directly into the unloading simulation in place of a subsequent image registration step. This results in a biomechanically constrained deformation. Using a finite difference scheme avoids an explicit meshing step and enables simulations to be performed directly in the image space. The explicit time integration scheme allows the motion at the interface between chest and breast to be constrained along the chest wall. The feasibility and accuracy of the approach presented here was assessed by measuring the target registration error (TRE) using a numerical phantom with known ground truth deformations, nine clinical prone MRI and supine CT image pairs, one clinical prone-supine CT image pair and four prone-supine MRI image pairs. The registration reduced the mean TRE for the numerical phantom experiment from initially 19.3 to 0.9 mm and the combined mean TRE for all fourteen clinical data sets from 69.7 to 5.6 mm.
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Affiliation(s)
- Björn Eiben
- Department of Medical Physics & Biomedical Engineering, Centre for Medical Image Computing, University College London, Gower Street, London, WC1E 6BT, UK.
| | - Vasileios Vavourakis
- Department of Medical Physics & Biomedical Engineering, Centre for Medical Image Computing, University College London, Gower Street, London, WC1E 6BT, UK
| | - John H Hipwell
- Department of Medical Physics & Biomedical Engineering, Centre for Medical Image Computing, University College London, Gower Street, London, WC1E 6BT, UK
| | - Sven Kabus
- Philips GmbH Innovative Technologies, Research Laboratories Hamburg, Röntgenstrasse 24-26, 22335, Hamburg, Germany
| | - Thomas Buelow
- Philips GmbH Innovative Technologies, Research Laboratories Hamburg, Röntgenstrasse 24-26, 22335, Hamburg, Germany
| | - Cristian Lorenz
- Philips GmbH Innovative Technologies, Research Laboratories Hamburg, Röntgenstrasse 24-26, 22335, Hamburg, Germany
| | - Thomy Mertzanidou
- Department of Medical Physics & Biomedical Engineering, Centre for Medical Image Computing, University College London, Gower Street, London, WC1E 6BT, UK
| | - Sara Reis
- Department of Medical Physics & Biomedical Engineering, Centre for Medical Image Computing, University College London, Gower Street, London, WC1E 6BT, UK
| | - Norman R Williams
- Clinical Trials Group, Division of Surgery, University College London, Gower Street, London, WC1E 6BT, UK
| | - Mohammed Keshtgar
- Department of Surgery, Royal Free Hospital, Pond Street, London, NW3 2QG, UK.,Division of Surgery, University College London, Gower Street, London, WC1E 6BT, UK
| | - David J Hawkes
- Department of Medical Physics & Biomedical Engineering, Centre for Medical Image Computing, University College London, Gower Street, London, WC1E 6BT, UK
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24
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Conley RH, Meszoely IM, Weis JA, Pheiffer TS, Arlinghaus LR, Yankeelov TE, Miga MI. Realization of a biomechanical model-assisted image guidance system for breast cancer surgery using supine MRI. Int J Comput Assist Radiol Surg 2015; 10:1985-96. [PMID: 26092657 DOI: 10.1007/s11548-015-1235-9] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2015] [Accepted: 05/30/2015] [Indexed: 11/28/2022]
Abstract
PURPOSE Unfortunately, the current re-excision rates for breast conserving surgeries due to positive margins average 20-40 %. The high re-excision rates arise from difficulty in localizing tumor boundaries intraoperatively and lack of real-time information on the presence of residual disease. The work presented here introduces the use of supine magnetic resonance (MR) images, digitization technology, and biomechanical models to investigate the capability of using an image guidance system to localize tumors intraoperatively. METHODS Preoperative supine MR images were used to create patient-specific biomechanical models of the breast tissue, chest wall, and tumor. In a mock intraoperative setup, a laser range scanner was used to digitize the breast surface and tracked ultrasound was used to digitize the chest wall and tumor. Rigid registration combined with a novel nonrigid registration routine was used to align the preoperative and intraoperative patient breast and tumor. The registration framework is driven by breast surface data (laser range scan of visible surface), ultrasound chest wall surface, and MR-visible fiducials. Tumor localizations by tracked ultrasound were only used to evaluate the fidelity of aligning preoperative MR tumor contours to physical patient space. The use of tracked ultrasound to digitize subsurface features to constrain our nonrigid registration approach and to assess the fidelity of our framework makes this work unique. Two patient subjects were analyzed as a preliminary investigation toward the realization of this supine image-guided approach. RESULTS An initial rigid registration was performed using adhesive MR-visible fiducial markers for two patients scheduled for a lumpectomy. For patient 1, the rigid registration resulted in a root-mean-square fiducial registration error (FRE) of 7.5 mm and the difference between the intraoperative tumor centroid as visualized with tracked ultrasound imaging and the registered preoperative MR counterpart was 6.5 mm. Nonrigid correction resulted in a decrease in FRE to 2.9 mm and tumor centroid difference to 5.5 mm. For patient 2, rigid registration resulted in a FRE of 8.8 mm and a 3D tumor centroid difference of 12.5 mm. Following nonrigid correction for patient 2, the FRE was reduced to 7.4 mm and the 3D tumor centroid difference was reduced to 5.3 mm. CONCLUSION Using our prototype image-guided surgery platform, we were able to align intraoperative data with preoperative patient-specific models with clinically relevant accuracy; i.e., tumor centroid localizations of approximately 5.3-5.5 mm.
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Affiliation(s)
- Rebekah H Conley
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA.
| | - Ingrid M Meszoely
- Department of Surgical Oncology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jared A Weis
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA
| | - Thomas S Pheiffer
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA
| | - Lori R Arlinghaus
- Vanderbilt University Institute of Imaging Science, Nashville, TN, USA
| | - Thomas E Yankeelov
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA.,Vanderbilt University Institute of Imaging Science, Nashville, TN, USA.,Department of Radiology and Radiological Sciences, Vanderbilt University, Nashville, TN, USA.,Departments of Physics and Cancer Biology, Vanderbilt University, Nashville, TN, USA
| | - Michael I Miga
- Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA.,Department of Radiology and Radiological Sciences, Vanderbilt University, Nashville, TN, USA.,Department of Neurological Surgery, Vanderbilt University, Nashville, TN, USA
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25
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Prediction of prone-to-supine tumor displacement in the breast using patient position change: investigation with prone MRI and supine CT. Breast Cancer 2014; 23:149-158. [PMID: 24913146 DOI: 10.1007/s12282-014-0545-z] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2014] [Accepted: 05/26/2014] [Indexed: 10/25/2022]
Abstract
BACKGROUND One of the challenges for clinical use of preoperative breast magnetic resonance imaging (MRI) is how to transfer prone MRI information to the operating theater with a supine surgical position. The aim of this study was to retrospectively evaluate tumor displacement in the breast by changing the patient position from prone to supine (prone-to-supine tumor displacement), using preoperative prone MRI and supine computed tomography (CT). METHODS Preoperatively, 55 Japanese women with 57 breast cancer lesions underwent breast MRI in the prone position and breast CT in the supine position. Tumor positions in both the prone and supine positions were measured on X-, Y-, and Z-coordinates by fixing the nipple to the origin (0, 0, 0). As an indicator of the mobility of the breast, the ratio of the breast projection between the prone MRI and supine CT (prone-to-supine projection ratio) was calculated. The direction and distance of prone-to-supine tumor displacement was analyzed by dividing the breast into four quadrants according to the tumor position. RESULTS When changing the patient position from prone to supine, tumors located in the inner-upper and inner-lower quadrants tended to move radially toward the center of the nipple. The movement distance of the tumors in the inner-lower and outer-lower quadrants was very strongly correlated with the prone-to-supine breast projection ratio (r ≥ 0.8, p < 0.05). Conversely, in the outer-upper quadrant, the direction of tumor displacement was variable, and the distance of tumor displacement did not correlate with the prone-to-supine projection ratio. CONCLUSIONS The present study showed that prone-to-supine tumor displacement in the breast differs depending on tumor location. The inner-lower quadrant of the breast may be the most predictable area for prone-to-supine tumor displacement.
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26
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Ebrahimi M, Siegler P, Modhafar A, Holloway CMB, Plewes DB, Martel AL. Using surface markers for MRI guided breast conserving surgery: a feasibility survey. Phys Med Biol 2014; 59:1589-605. [PMID: 24614540 DOI: 10.1088/0031-9155/59/7/1589] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Breast MRI is frequently performed prior to breast conserving surgery in order to assess the location and extent of the lesion. Ideally, the surgeon should also be able to use the image information during surgery to guide the excision and this requires that the MR image is co-registered to conform to the patient's position on the operating table. Recent progress in MR imaging techniques has made it possible to obtain high quality images of the patient in the supine position which significantly reduces the complexity of the registration task. Surface markers placed on the breast during imaging can be located during surgery using an external tracking device and this information can be used to co-register the images to the patient. There remains the problem that in most clinical MR scanners the arm of the patient has to be placed parallel to the body whereas the arm is placed perpendicular to the patient during surgery. The aim of this study is to determine the accuracy of co-registration based on a surface marker approach and, in particular, to determine what effect the difference in a patient's arm position makes on the accuracy of tumour localization. Obtaining a second MRI of the patient where the patient's arm is perpendicular to body axes (operating room position) is not possible. Instead we obtain a secondary MRI scan where the patient's arm is above the patient's head to validate the registration. Five patients with enhancing lesions ranging from 1.5 to 80 cm(3) in size were imaged using contrast enhanced MRI with their arms in two positions. A thin-plate spline registration scheme was used to match these two configurations. The registration algorithm uses the surface markers only and does not employ the image intensities. Tumour outlines were segmented and centre of mass (COM) displacement and Dice measures of lesion overlap were calculated. The relationship between the number of markers used and the COM-displacement was also studied. The lesion COM-displacements ranged from 0.9 to 9.3 mm and the Dice overlap score ranged from 20% to 80%. The registration procedure took less than 1 min to run on a standard PC. Alignment of pre-surgical supine MR images to the patient using surface markers on the breast for co-registration therefore appears to be feasible.
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Affiliation(s)
- Mehran Ebrahimi
- Faculty of Science, University of Ontario Institute of Technology, 2000 Simcoe St N, Oshawa, ON, Canada, L1H 7K4
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27
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Han L, Hipwell JH, Eiben B, Barratt D, Modat M, Ourselin S, Hawkes DJ. A nonlinear biomechanical model based registration method for aligning prone and supine MR breast images. IEEE TRANSACTIONS ON MEDICAL IMAGING 2014; 33:682-694. [PMID: 24595342 DOI: 10.1109/tmi.2013.2294539] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/03/2023]
Abstract
Preoperative diagnostic magnetic resonance (MR) breast images can provide good contrast between different tissues and 3-D information about suspicious tissues. Aligning preoperative diagnostic MR images with a patient in the theatre during breast conserving surgery could assist surgeons in achieving the complete excision of cancer with sufficient margins. Typically, preoperative diagnostic MR breast images of a patient are obtained in the prone position, while surgery is performed in the supine position. The significant shape change of breasts between these two positions due to gravity loading, external forces and related constraints makes the alignment task extremely difficult. Our previous studies have shown that either nonrigid intensity-based image registration or biomechanical modelling alone are limited in their ability to capture such a large deformation. To tackle this problem, we proposed in this paper a nonlinear biomechanical model-based image registration method with a simultaneous optimization procedure for both the material parameters of breast tissues and the direction of the gravitational force. First, finite element (FE) based biomechanical modelling is used to estimate a physically plausible deformation of the pectoral muscle and the major deformation of breast tissues due to gravity loading. Then, nonrigid intensity-based image registration is employed to recover the remaining deformation that FE analyses do not capture due to the simplifications and approximations of biomechanical models and the uncertainties of external forces and constraints. We assess the registration performance of the proposed method using the target registration error of skin fiducial markers and the Dice similarity coefficient (DSC) of fibroglandular tissues. The registration results on prone and supine MR image pairs are compared with those from two alternative nonrigid registration methods for five breasts. Overall, the proposed algorithm achieved the best registration performance on fiducial markers (target registration error, 8.44 ±5.5 mm for 45 fiducial markers) and higher overlap rates on segmentation propagation of fibroglandular tissues (DSC value > 82%).
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28
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Kimijima I, Yoshida K, Tamura R, Moriya T. Effectiveness of multi-detector row computed tomography in detection of the presence and extent of ductal carcinoma in situ. Breast Cancer 2012; 20:26-33. [PMID: 23054842 DOI: 10.1007/s12282-012-0395-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2012] [Accepted: 07/27/2012] [Indexed: 11/28/2022]
Abstract
BACKGROUND As ductal carcinoma in situ (DCIS) lesions can spread widely in the ductal-lobular segment, often without palpable tumor, complete resection of the lesion in breast-conserving surgery requires establishment of the precise location and extent of the lesion during preoperative imaging studies. We investigated the potential of multi-detector row computed tomography (MDCT) in detecting and delineating DCIS lesions. METHODS Overall, 74 patients with 75 DCIS lesions underwent breast MDCT. The size of the DCIS lesion in each patient was measured in the volume rendering images and compared to the size obtained by pathological mapping. The differences between the actual tumor size and that obtained from MDCT (L-Path and L-CT) were calculated, and the relationships between these differences and tumor characteristics were investigated. RESULTS DCIS was detected fully or partially in 64 (84.9 %) of 75 lesions, whereas the detection rate of magnetic resonance imaging (MRI) was 90 %. The detection rate was not influenced by comedo/non-comedo status, but the detection rate of higher nuclear grade DCIS lesions tended to be higher than that of low grade lesions (p = 0.089), while the estimated size was also more accurate in the former (p = 0.046). Hormone receptor and Her2 status did not affect MDCT findings. CONCLUSION MDCT is highly effective for detecting DCIS, especially the more aggressive types of DCIS. Moreover, the patient's position during MDCT imaging is more similar to that during surgery than that during MRI, making MDCT a highly useful presurgical imaging technique for the assessment of DCIS.
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Affiliation(s)
- Izo Kimijima
- Breast Center, Northern Fukushima Medical Center, 23-1 Hakozaki, Higashi, Date, Fukushima, 960-0502, Japan.
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Siegler P, Ebrahimi M, Holloway CM, Thevathasan G, Plewes DB, Martel A. Supine breast MRI and assessment of future clinical applications. Eur J Radiol 2012; 81 Suppl 1:S153-5. [DOI: 10.1016/s0720-048x(12)70064-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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30
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Impact of real-time virtual sonography, a coordinated sonography and MRI system that uses an image fusion technique, on the sonographic evaluation of MRI-detected lesions of the breast in second-look sonography. Breast Cancer Res Treat 2012; 134:1179-88. [DOI: 10.1007/s10549-012-2163-9] [Citation(s) in RCA: 44] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2012] [Accepted: 07/03/2012] [Indexed: 11/26/2022]
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31
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van der Heide UA, Houweling AC, Groenendaal G, Beets-Tan RGH, Lambin P. Functional MRI for radiotherapy dose painting. Magn Reson Imaging 2012; 30:1216-23. [PMID: 22770686 DOI: 10.1016/j.mri.2012.04.010] [Citation(s) in RCA: 119] [Impact Index Per Article: 9.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2012] [Revised: 03/26/2012] [Accepted: 04/01/2012] [Indexed: 02/07/2023]
Abstract
Modern radiation therapy techniques are exceptionally flexible in the deposition of radiation dose in a target volume. Complex distributions of dose can be delivered reliably, so that the tumor is exposed to a high dose, whereas nearby healthy structures can be avoided. As a result, an increase in curative dose is no longer invariably associated with an increased level of toxicity. This modern technology can be exploited further by modulating the required dose in space so as to match the variation in radiation sensitivity in the tumor. This approach is called dose painting. For dose painting to be effective, functional imaging techniques are essential to identify regions in a tumor that require a higher dose. Several techniques are available in nuclear medicine and radiology. In recent years, there has been a considerable research effort concerning the integration of magnetic resonance imaging (MRI) into the external radiotherapy workflow motivated by the superior soft tissue contrast as compared to computed tomography. In MRI, diffusion-weighted MRI reflects the cell density of tissue and thus may indicate regions with a higher tumor load. Dynamic contrast-enhanced MRI reflects permeability of the microvasculature and blood flow, correlated to the oxygenation of the tumor. These properties have impact on its radiation sensitivity. New questions must be addressed when these techniques are applied in radiation therapy: scanning in treatment position requires alternative solutions to the standard patient setup in the choice of receive coils compared to a diagnostic department. This standard positioning also facilitates repeated imaging. The geometrical accuracy of MR images is critical for high-precision radiotherapy. In particular, when multiparametric functional data are used for dose painting, quantification of functional parameters at a high spatial resolution becomes important. In this review, we will address these issues and describe clinical developments in MRI-guided dose painting.
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Affiliation(s)
- Uulke A van der Heide
- Department of Radiation Oncology, Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital, 1066 CX Amsterdam, The Netherlands.
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