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Hendriks BMF, Schnerr RS, Milanese G, Jeukens CRLPN, Niesen S, Eijsvoogel NG, Wildberger JE, Das M. Computed Tomography Pulmonary Angiography during Pregnancy: Radiation Dose of Commonly Used Protocols and the Effect of Scan Length Optimization. Korean J Radiol 2019; 20:313-322. [PMID: 30672171 PMCID: PMC6342764 DOI: 10.3348/kjr.2017.0779] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2017] [Accepted: 07/24/2018] [Indexed: 01/21/2023] Open
Abstract
Objective To evaluate the radiation dose for pregnant women and fetuses undergoing commonly used computed tomography of the pulmonary arteries (CTPA) scan protocols and subsequently evaluate the simulated effect of an optimized scan length. Materials and Methods A total of 120 CTPA datasets were acquired using four distinctive scan protocols, with 30 patients per protocol. These datasets were mapped to Cristy phantoms in order to simulate pregnancy and to assess the effect of an effective radiation dose (in mSv) in the first, second, or third trimester of pregnancy, including a simulation of fetal dose in second and third trimesters. The investigated scan protocols involved a 64-slice helical scan at 120 kVp, a high-pitch dual source acquisition at 100 kVp, a dual-energy acquisition at 80/140 kVp, and an automated-kV-selection, high pitch helical scan at a reference kV of 100 kVref. The effective dose for women and fetuses was simulated before and after scan length adaptation. The original images were interpreted before and after scan length adaptations to evaluate potentially missed diagnoses. Results Large inter-scanner and inter-protocol variations were found; application of the latest technology decreased the dose for non-pregnant women by 69% (7.0–2.2 mSv). Individual scan length optimization proved safe and effective, decreasing the fetal dose by 76–83%. Nineteen (16%) cases of pulmonary embolism were diagnosed and, after scan length optimization, none were missed. Conclusion Careful CTPA scan protocol selection and additional optimization of scan length may result in significant radiation dose reduction for a pregnant patient and her fetus, whilst maintaining diagnostic confidence.
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Affiliation(s)
- Babs M F Hendriks
- Department of Radiology & Nuclear Medicine, Maastricht University Medical Centre, Maastricht, The Netherlands.,CARIM School for Cardiovascular Diseases, Maastricht University Medical Centre, Maastricht, The Netherlands.
| | - Roald S Schnerr
- Department of Radiology & Nuclear Medicine, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Gianluca Milanese
- Department of Radiology & Nuclear Medicine, Maastricht University Medical Centre, Maastricht, The Netherlands.,Department of Surgical Sciences, Division of Radiology, University of Parma, Parma, Italy
| | - Cécile R L P N Jeukens
- Department of Radiology & Nuclear Medicine, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Sandra Niesen
- Department of Radiology & Nuclear Medicine, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Nienke G Eijsvoogel
- Department of Radiology & Nuclear Medicine, Maastricht University Medical Centre, Maastricht, The Netherlands.,CARIM School for Cardiovascular Diseases, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Joachim E Wildberger
- Department of Radiology & Nuclear Medicine, Maastricht University Medical Centre, Maastricht, The Netherlands.,CARIM School for Cardiovascular Diseases, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Marco Das
- Department of Radiology & Nuclear Medicine, Maastricht University Medical Centre, Maastricht, The Netherlands.,Department of Diagnostic and Interventional Radiology, Duisburg, Germany
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Schnerr RS, Jansen JFA, Uludag K, Hofman PAM, Wildberger JE, van Oostenbrugge RJ, Backes WH. Pulsatility of Lenticulostriate Arteries Assessed by 7 Tesla Flow MRI-Measurement, Reproducibility, and Applicability to Aging Effect. Front Physiol 2017; 8:961. [PMID: 29225580 PMCID: PMC5705621 DOI: 10.3389/fphys.2017.00961] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2017] [Accepted: 11/10/2017] [Indexed: 01/26/2023] Open
Abstract
Characterization of flow properties in cerebral arteries with 1.5 and 3 Tesla MRI is usually limited to large cerebral arteries and difficult to evaluate in the small perforating arteries due to insufficient spatial resolution. In this study, we assessed the feasibility to measure blood flow waveforms in the small lenticulostriate arteries with 7 Tesla velocity-sensitive MRI. The middle cerebral artery was included as reference. Imaging was performed in five young and five old healthy volunteers. Flow was calculated by integrating time-varying velocity values over the vascular cross-section. MRI acquisitions were performed twice in each subject to determine reproducibility. From the flow waveforms, the pulsatility index and damping factor were deduced. Reproducibility values, in terms of the intraclass correlation coefficients, were found to be good to excellent. Measured pulsatility index of the lenticulostriate arteries significantly increased and damping factor significantly decreased with age. In conclusion, we demonstrate that blood flow through the lenticostriate arteries can be precisely measured using 7 Tesla MRI and reveal effects of arterial stiffness due to aging. These findings hold promise to provide relevant insights into the pathologies involving perforating cerebral arteries.
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Affiliation(s)
- Roald S Schnerr
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, Netherlands
| | - Jacobus F A Jansen
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, Netherlands.,Faculty of Health, Medicine and Life Sciences, School for Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands
| | - Kamil Uludag
- Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, Netherlands
| | - Paul A M Hofman
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, Netherlands.,Faculty of Health, Medicine and Life Sciences, School for Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands
| | - Joachim E Wildberger
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, Netherlands.,Faculty of Health, Medicine and Life Sciences, School for Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands.,Cardiovascular Research Institute Maastricht, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, Netherlands
| | - Robert J van Oostenbrugge
- Cardiovascular Research Institute Maastricht, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, Netherlands.,Department of Neurology, Maastricht University Medical Center, Maastricht, Netherlands
| | - Walter H Backes
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, Netherlands.,Faculty of Health, Medicine and Life Sciences, School for Mental Health and Neuroscience, Maastricht University, Maastricht, Netherlands.,Cardiovascular Research Institute Maastricht, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, Netherlands
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Beckers RCJ, Beets-Tan RGH, Schnerr RS, Maas M, da Costa Andrade LA, Beets GL, Dejong CH, Houwers JB, Lambregts DMJ. Whole-volume vs. segmental CT texture analysis of the liver to assess metachronous colorectal liver metastases. Abdom Radiol (NY) 2017; 42:2639-2645. [PMID: 28555265 DOI: 10.1007/s00261-017-1190-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
PURPOSE It is unclear whether changes in liver texture in patients with colorectal cancer are caused by diffuse (e.g., perfusional) changes throughout the liver or rather based on focal changes (e.g., presence of occult metastases). The aim of this study is to compare a whole-liver approach to a segmental (Couinaud) approach for measuring the CT texture at the time of primary staging in patients who later develop metachronous metastases and evaluate whether assessing CT texture on a segmental level is of added benefit. METHODS 46 Patients were included: 27 patients without metastases (follow-up >2 years) and 19 patients who developed metachronous metastases within 24 months after diagnosis. Volumes of interest covering the whole liver were drawn on primary staging portal-phase CT. In addition, each liver segment was delineated separately. Mean gray-level intensity, entropy (E), and uniformity (U) were derived with different filters (σ0.5-2.5). Patients/segments without metastases and patients/segments that later developed metachronous metastases were compared using independent samples t tests. RESULTS Absolute differences in entropy and uniformity between the group without metastases and the group with metachronous metastases group were consistently smaller for the segmental approach compared to the whole-liver approach. No statistically significant differences were found in the texture measurements between both groups. CONCLUSIONS In this small patient cohort, we could not demonstrate a clear predictive value to identify patients at risk of developing metachronous metastases within 2 years. Segmental CT texture analysis of the liver probably has no additional benefit over whole-liver texture analysis.
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Affiliation(s)
- R C J Beckers
- GROW School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands
- Department of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
- Department of Radiology, Maastricht University Medical Center, Maastricht, The Netherlands
- Department of Surgery, Maastricht University Medical Center, Maastricht, The Netherlands
| | - R G H Beets-Tan
- GROW School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands
- Department of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - R S Schnerr
- Department of Radiology, Maastricht University Medical Center, Maastricht, The Netherlands
| | - M Maas
- Department of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - L A da Costa Andrade
- Medical Imaging Department and Faculty of Medicine, University Hospital of Coimbra, Coimbra, Portugal
| | - G L Beets
- GROW School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands
- Department of Surgery, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - C H Dejong
- Department of Surgery, Maastricht University Medical Center, Maastricht, The Netherlands
- NUTRIM School for Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, The Netherlands
- Department of Surgery, RWTH Universitätsklinikum Aachen, Aachen, Germany
| | - J B Houwers
- Department of Radiology, Maastricht University Medical Center, Maastricht, The Netherlands
| | - D M J Lambregts
- Department of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands.
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Freeze WM, Schnerr RS, Palm WM, Jansen JF, Jacobs HI, Hoff EI, Verhey FR, Backes WH. Pericortical Enhancement on Delayed Postgadolinium Fluid-Attenuated Inversion Recovery Images in Normal Aging, Mild Cognitive Impairment, and Alzheimer Disease. AJNR Am J Neuroradiol 2017; 38:1742-1747. [PMID: 28684457 DOI: 10.3174/ajnr.a5273] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2016] [Accepted: 04/19/2017] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Breakdown of BBB integrity occurs in dementia and may lead to neurodegeneration and cognitive decline. We assessed whether extravasation of gadolinium chelate could be visualized on delayed postcontrast FLAIR images in older individuals with and without cognitive impairment. MATERIALS AND METHODS Seventy-four individuals participated in this study (15 with Alzheimer disease, 33 with mild cognitive impairment, and 26 with normal cognition). We assessed the appearance of pericortical enhancement after contrast administration, MR imaging markers of cerebrovascular damage, and medial temporal lobe atrophy. Three participants who were positive for pericortical enhancement (1 with normal cognition and 2 with mild cognitive impairment) were followed up for approximately 2 years. In vitro experiments with a range of gadolinium concentrations served to elucidate the mechanisms underlying the postcontrast FLAIR signals. RESULTS Postcontrast pericortical enhancement was observed in 21 participants (28%), including 6 individuals with Alzheimer disease (40%), 10 with mild cognitive impairment (30%), and 5 with normal cognition (19%). Pericortical enhancement was positively associated with age (P < .02) and ischemic stroke (P < .05), but not with cognitive status (P = .3). Foci with enhanced signal remained stable across time in all follow-up cases. The in vitro measurements confirmed that FLAIR imaging is highly sensitive for the detection of low gadolinium concentrations in CSF, but not in cerebral tissue. CONCLUSIONS Postcontrast pericortical enhancement on FLAIR images occurs in older individuals with normal cognition, mild cognitive impairment, and dementia. It may represent chronic focal superficial BBB leakage. Future longitudinal studies are needed to determine its clinical significance.
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Affiliation(s)
- W M Freeze
- From the Department of Psychiatry and Neuropsychology (W.M.F., H.I.J., F.R.V.), Maastricht University, School for Mental Health and Neuroscience, Alzheimer Center Limburg, Maastricht, the Netherlands .,Department of Radiology and Nuclear Medicine (W.M.F., R.S.S., J.F.J., W.M.P., W.H.B.), Maastricht University Medical Center, School for Mental Health and Neuroscience, Maastricht, the Netherlands
| | - R S Schnerr
- Department of Radiology and Nuclear Medicine (W.M.F., R.S.S., J.F.J., W.M.P., W.H.B.), Maastricht University Medical Center, School for Mental Health and Neuroscience, Maastricht, the Netherlands
| | - W M Palm
- Department of Radiology and Nuclear Medicine (W.M.F., R.S.S., J.F.J., W.M.P., W.H.B.), Maastricht University Medical Center, School for Mental Health and Neuroscience, Maastricht, the Netherlands
| | - J F Jansen
- Department of Radiology and Nuclear Medicine (W.M.F., R.S.S., J.F.J., W.M.P., W.H.B.), Maastricht University Medical Center, School for Mental Health and Neuroscience, Maastricht, the Netherlands
| | - H I Jacobs
- From the Department of Psychiatry and Neuropsychology (W.M.F., H.I.J., F.R.V.), Maastricht University, School for Mental Health and Neuroscience, Alzheimer Center Limburg, Maastricht, the Netherlands
| | - E I Hoff
- Department of Neurology (E.I.H.), Zuyderland Medical Center Heerlen, Heerlen, the Netherlands
| | - F R Verhey
- From the Department of Psychiatry and Neuropsychology (W.M.F., H.I.J., F.R.V.), Maastricht University, School for Mental Health and Neuroscience, Alzheimer Center Limburg, Maastricht, the Netherlands
| | - W H Backes
- Department of Radiology and Nuclear Medicine (W.M.F., R.S.S., J.F.J., W.M.P., W.H.B.), Maastricht University Medical Center, School for Mental Health and Neuroscience, Maastricht, the Netherlands
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Beckers RCJ, Lambregts DMJ, Schnerr RS, Maas M, Rao SX, Kessels AGH, Thywissen T, Beets GL, Trebeschi S, Houwers JB, Dejong CH, Verhoef C, Beets-Tan RGH. Whole liver CT texture analysis to predict the development of colorectal liver metastases-A multicentre study. Eur J Radiol 2017. [PMID: 28624022 DOI: 10.1016/j.ejrad.2017.04.019] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
OBJECTIVES CT texture analysis has shown promise to differentiate colorectal cancer patients with/without hepatic metastases. AIM To investigate whether whole-liver CT texture analysis can also predict the development of colorectal liver metastases. MATERIAL AND METHODS Retrospective multicentre study (n=165). Three subgroups were assessed: patients [A] without metastases (n=57), [B] with synchronous metastases (n=54) and [C] who developed metastases within ≤24 months (n=54). Whole-liver texture analysis was performed on primary staging CT. Mean grey-level intensity, entropy and uniformity were derived with different filters (σ0.5-2.5). Univariable logistic regression (group A vs. B) identified potentially predictive parameters, which were tested in multivariable analyses to predict development of metastases (group A vs. C), including subgroup analyses for early (≤6 months), intermediate (7-12 months) and late (13-24 months) metastases. RESULTS Univariable analysis identified uniformity (σ0.5), sex, tumour site, nodal stage and carcinoembryonic antigen as potential predictors. Uniformity remained a significant predictor in multivariable analysis to predict early metastases (OR 0.56). None of the parameters could predict intermediate/late metastases. CONCLUSIONS Whole-liver CT-texture analysis has potential to predict patients at risk of developing early liver metastases ≤6 months, but is not robust enough to identify patients at risk of developing metastases at later stage.
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Affiliation(s)
- Rianne C J Beckers
- GROW School for Oncology and Developmental Biology, Maastricht University, P.O. Box 616, 6200 MD, The Netherlands; Department of Radiology, The Netherlands Cancer Institute, P.O. Box 90203, 1006 BE Amsterdam, The Netherlands; Department of Radiology, Maastricht University Medical Center, P.O. Box 6200, 6202 AZ Maastricht, The Netherlands; Department of Surgery, Maastricht University Medical Center, P.O. Box 6200, 6202 AZ Maastricht, The Netherlands
| | - Doenja M J Lambregts
- Department of Radiology, The Netherlands Cancer Institute, P.O. Box 90203, 1006 BE Amsterdam, The Netherlands.
| | - Roald S Schnerr
- Department of Radiology, Maastricht University Medical Center, P.O. Box 6200, 6202 AZ Maastricht, The Netherlands
| | - Monique Maas
- Department of Radiology, The Netherlands Cancer Institute, P.O. Box 90203, 1006 BE Amsterdam, The Netherlands
| | - Sheng-Xiang Rao
- Department of Radiology, Zhongshan Hospital, Fudan University,180 Fenglin Road Shangai 200032, China
| | - Alfons G H Kessels
- Department of Clinical Epidemiology and Medical Technology Assessment, Maastricht University, P.O. Box 6200, 6202 AZ Maastricht, , The Netherlands
| | - Thomas Thywissen
- Department of Radiology, Maastricht University Medical Center, P.O. Box 6200, 6202 AZ Maastricht, The Netherlands
| | - Geerard L Beets
- GROW School for Oncology and Developmental Biology, Maastricht University, P.O. Box 616, 6200 MD, The Netherlands; Department of Surgery, The Netherlands Cancer Institute, P.O. Box 90203, 1006 BE Amsterdam, The Netherlands
| | - Stefano Trebeschi
- GROW School for Oncology and Developmental Biology, Maastricht University, P.O. Box 616, 6200 MD, The Netherlands; Department of Radiology, The Netherlands Cancer Institute, P.O. Box 90203, 1006 BE Amsterdam, The Netherlands
| | - Janneke B Houwers
- GROW School for Oncology and Developmental Biology, Maastricht University, P.O. Box 616, 6200 MD, The Netherlands; Department of Radiology, Maastricht University Medical Center, P.O. Box 6200, 6202 AZ Maastricht, The Netherlands
| | - Cornelis H Dejong
- Department of Surgery, Maastricht University Medical Center, P.O. Box 6200, 6202 AZ Maastricht, The Netherlands; NUTRIM School for Nutrition and Translational Research in Metabolism, Maastricht University, P.O. Box 616, 6200 MD, The Netherlands; Department of Surgery, RWTH Universitätsklinikum Aachen, Pauwelsstraße 30, 52074 Aachen, Germany
| | - Cornelis Verhoef
- Department of Surgical Oncology, Erasmus MC Cancer Institute, Groene Hilledijk 301, 3075 EA, Rotterdam, The Netherlands
| | - Regina G H Beets-Tan
- GROW School for Oncology and Developmental Biology, Maastricht University, P.O. Box 616, 6200 MD, The Netherlands; Department of Radiology, The Netherlands Cancer Institute, P.O. Box 90203, 1006 BE Amsterdam, The Netherlands
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Schnerr RS, de Jong AN, Landry G, Jeukens CRLPN, Wierts R. Monte Carlo simulations of ceiling scatter in nuclear medicine: 99m Tc, 131 I and 18 F. Med Phys 2017; 44:1113-1119. [PMID: 28097674 DOI: 10.1002/mp.12113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2016] [Revised: 11/25/2016] [Accepted: 12/08/2016] [Indexed: 11/11/2022] Open
Abstract
PURPOSE In the design of nuclear medicine treatment and examination rooms, an important consideration is the shielding required for ionizing radiation from the radioactive isotopes used. The shielding in the walls is normally limited to a height lower than the actual ceiling height. The direct radiation, possibly with build-up correction, can be calculated relatively easily. However, little data are available to estimate the dose contribution from ionizing radiation traveling over the wall shielding and scattering off the ceiling. We aim to determine the contribution of the ceiling scatter to the radiation dose outside nuclear medicine rooms. METHODS Monte Carlo simulations were performed using Gate for different heights of lead shielding in the wall, and different ceiling heights. A point source in air of 99m Tc (141 keV), 131 I (365 keV) or 18 F (511 keV) was placed 1.0 m above the floor, 3.0 m from the lead shielding. Simulations of ceiling scatter only and for the total radiation dose were performed for these 3 isotopes, 5 different ceiling heights and 4-8 different wall shielding heights, resulting in a total of 165 simulations. This allowed us to compare the contribution of the radiation passing through the shielding and the ceiling scatter. RESULTS We find that the shielding required for the primary radiation, measured in half-value layers, is an important factor in determining the relative contribution of ceiling scatter. When more than about 4 half-value layers of shielding are used, ceiling scatter becomes the dominant factor and should be taken into account in the shielding design. In many practical cases for low energy photons (e.g. from 99m Tc; 141 keV; half-value layer of 0.26 mm lead), 2 mm of lead is used and ceiling scatter is a dominating factor contributing >~70% of the dose outside the shielded room. For higher energies (e.g. 18 F; 511 keV; half-value layer of 3.9 mm lead) the ceiling scatter is typically less than about 15% when 8 mm of lead shielding is used. CONCLUSIONS We have performed simulations that allow an estimation of the contribution of ceiling scatter to the radiation dose outside a room, based on the ceiling height, shielding height, and isotope used. This will allow for improved shielding designs in nuclear medicine departments.
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Affiliation(s)
- Roald S Schnerr
- Department of Radiology, Maastricht UMC+, 6229 HX, Maastricht, The Netherlands
| | - Anouk N de Jong
- Department of Medical Physics, Amphia Ziekenhuis, 4818 CK, Breda, The Netherlands
| | - Guillaume Landry
- Department of Medical Physics, Faculty of Physics, Ludwig-Maximilians-Universität München, Am Coulombwall 1, 85748, Garching, Germany
| | | | - Roel Wierts
- Department of Nuclear Medicine, Maastricht UMC+, 6229 HX, Maastricht, The Netherlands
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Freeze WM, Schnerr RS, Jansen JF, Palm M, Hoff EI, Verhey FR, Jacobs HI, Backes WH. P3‐247: Leptomeningeal Blood‐Brain Barrier Leakage is Associated with Cerebrovascular Damage in Mild Cognitive Impairment and Alzheimer’S Disease. Alzheimers Dement 2016. [DOI: 10.1016/j.jalz.2016.06.1910] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Affiliation(s)
| | | | | | - Miguel Palm
- Maastricht University Medical CenterMaastrichtNetherlands
| | - Erik I. Hoff
- Zuyderland Medical Center HeerlenHeerlenNetherlands
| | | | - Heidi I.L. Jacobs
- Massachusetts General Hospital, Athinoula A. Martinos Centre for Biomedical Imaging, Harvard Medical SchoolBostonMA USA
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Freeze WM, Schnerr RS, Jansen JF, Palm M, Hoff EI, Verhey FRJ, Jacobs HIL, Backes WH. IC‐P‐126: Leptomeningeal Blood‐Brain Barrier Leakage is Associated With Cerebrovascular Damage in Mild Cognitive Impairment and Alzheimer’s Disease. Alzheimers Dement 2016. [DOI: 10.1016/j.jalz.2016.06.156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
| | | | | | - Miguel Palm
- Maastricht University Medical CenterMaastrichtNetherlands
| | - Erik I. Hoff
- Zuyderland Medical Center HeerlenHeerlenNetherlands
| | | | - Heidi IL. Jacobs
- Massachusetts General Hospital, Athinoula A. Martinos Centre for Biomedical Imaging, Harvard Medical SchoolBostonMA USA
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Kok M, de Haan MW, Mihl C, Eijsvoogel NG, Hendriks BM, Sailer AM, Derks K, Schnerr RS, Schurink GWH, Wildberger JE, Das M. Individualized CT Angiography Protocols for the Evaluation of the Aorta: A Feasibility Study. J Vasc Interv Radiol 2016; 27:531-8. [DOI: 10.1016/j.jvir.2016.01.009] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2015] [Revised: 01/02/2016] [Accepted: 01/02/2016] [Indexed: 01/16/2023] Open
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Rao SX, Lambregts DM, Schnerr RS, Beckers RC, Maas M, Albarello F, Riedl RG, Dejong CH, Martens MH, Heijnen LA, Backes WH, Beets GL, Zeng MS, Beets-Tan RG. CT texture analysis in colorectal liver metastases: A better way than size and volume measurements to assess response to chemotherapy? United European Gastroenterol J 2015; 4:257-63. [PMID: 27087955 DOI: 10.1177/2050640615601603] [Citation(s) in RCA: 80] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2015] [Accepted: 07/27/2015] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Response Evaluation Criteria In Solid Tumors (RECIST) are known to have limitations in assessing the response of colorectal liver metastases (CRLMs) to chemotherapy. OBJECTIVE The objective of this article is to compare CT texture analysis to RECIST-based size measurements and tumor volumetry for response assessment of CRLMs to chemotherapy. METHODS Twenty-one patients with CRLMs underwent CT pre- and post-chemotherapy. Texture parameters mean intensity (M), entropy (E) and uniformity (U) were assessed for the largest metastatic lesion using different filter values (0.0 = no/0.5 = fine/1.5 = medium/2.5 = coarse filtration). Total volume (cm(3)) of all metastatic lesions and the largest size of one to two lesions (according to RECIST 1.1) were determined. Potential predictive parameters to differentiate good responders (n = 9; histological TRG 1-2) from poor responders (n = 12; TRG 3-5) were identified by univariable logistic regression analysis and subsequently tested in multivariable logistic regression analysis. Diagnostic odds ratios were recorded. RESULTS The best predictive texture parameters were Δuniformity and Δentropy (without filtration). Odds ratios for Δuniformity and Δentropy in the multivariable analyses were 0.95 and 1.34, respectively. Pre- and post-treatment texture parameters, as well as the various size and volume measures, were not significant predictors. Odds ratios for Δsize and Δvolume in the univariable logistic regression were 1.08 and 1.05, respectively. CONCLUSIONS Relative differences in CT texture occurring after treatment hold promise to assess the pathologic response to chemotherapy in patients with CRLMs and may be better predictors of response than changes in lesion size or volume.
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Affiliation(s)
- Sheng-Xiang Rao
- Department of Radiology, Maastricht University Medical Centre, Maastricht, The Netherlands; Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Doenja Mj Lambregts
- Department of Radiology, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Roald S Schnerr
- Department of Radiology, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Rianne Cj Beckers
- Department of Radiology, Maastricht University Medical Centre, Maastricht, The Netherlands; Department of Surgery, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Monique Maas
- Department of Radiology, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Fabrizio Albarello
- Department of Radiology, Maastricht University Medical Centre, Maastricht, The Netherlands; Department of Radiology, S. Anna Hospital, University of Ferrara, Ferrara, Italy
| | - Robert G Riedl
- Department of Pathology, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Cornelis Hc Dejong
- Department of Surgery, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Milou H Martens
- Department of Radiology, Maastricht University Medical Centre, Maastricht, The Netherlands; Department of Surgery, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Luc A Heijnen
- Department of Radiology, Maastricht University Medical Centre, Maastricht, The Netherlands; Department of Surgery, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Walter H Backes
- Department of Radiology, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Geerard L Beets
- Department of Surgery, The Netherlands Cancer Institute, Amsterdam, The Netherlands; Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Meng-Su Zeng
- Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Regina Gh Beets-Tan
- Department of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands; Maastricht University Medical Centre, Maastricht, The Netherlands
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Rao SX, Lambregts DM, Schnerr RS, van Ommen W, van Nijnatten TJ, Martens MH, Heijnen LA, Backes WH, Verhoef C, Zeng MS, Beets GL, Beets-Tan RG. Whole-liver CT texture analysis in colorectal cancer: Does the presence of liver metastases affect the texture of the remaining liver? United European Gastroenterol J 2014; 2:530-8. [PMID: 25452849 DOI: 10.1177/2050640614552463] [Citation(s) in RCA: 51] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2014] [Accepted: 08/25/2014] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Liver metastases limit survival in colorectal cancer. Earlier detection of (occult) metastatic disease may benefit treatment and survival. OBJECTIVE The objective of this article is to evaluate the potential of whole-liver CT texture analysis of apparently disease-free liver parenchyma for discriminating between colorectal cancer (CRC) patients with and without hepatic metastases. METHODS The primary staging CT examinations of 29 CRC patients were retrospectively analysed. Patients were divided into three groups: patients without liver metastases (n = 15), with synchronous liver metastases (n = 10) and metachronous liver metastases within 18 months following primary staging (n = 4). Whole-liver texture analysis was performed by delineation of the apparently non-diseased liver parenchyma (excluding metastases or other focal liver lesions) on portal phase images. Mean grey-level intensity (M), entropy (E) and uniformity (U) were derived with no filtration and different filter widths (0.5 = fine, 1.5 = medium, 2.5 = coarse). RESULTS Mean E1.5 and E2.5 for the whole liver in patients with synchronous metastases were significantly higher compared with the non-metastatic patients (p = 0.02 and p = 0.01). Mean U1.5 and U2.5 were significantly lower in the synchronous metastases group compared with the non-metastatic group (p = 0.04 and p = 0.02). Texture parameters for the metachronous metastases group were not significantly different from the non-metastatic group or synchronous metastases group (p > 0.05), although - similar to the synchronous metastases group - there was a subtle trend towards increased E1.5, E2.5 and decreased U1.5, U2.5 values. Areas under the ROC curve for the diagnosis of synchronous metastatic disease based on the texture parameters E1.5,2.5 and U1.5,2.5 ranged between 0.73 and 0.78. CONCLUSION Texture analysis of the apparently non-diseased liver holds promise to differentiate between CRC patients with and without metastatic liver disease. Further research is required to determine whether these findings may be used to benefit the prediction of metachronous liver disease.
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Affiliation(s)
- Sheng-Xiang Rao
- Department of Radiology, Maastricht University Medical Center, The Netherlands ; Department of Radiology, Zhongshan Hospital, Fudan University, China
| | - Doenja Mj Lambregts
- Department of Radiology, Maastricht University Medical Center, The Netherlands
| | - Roald S Schnerr
- Department of Radiology, Maastricht University Medical Center, The Netherlands
| | - Wenzel van Ommen
- Department of Radiology, Maastricht University Medical Center, The Netherlands ; Department of Radiology, Catharina Hospital Eindhoven, The Netherlands
| | | | - Milou H Martens
- Department of Radiology, Maastricht University Medical Center, The Netherlands ; Department of Surgery, Maastricht University Medical Center, The Netherlands
| | - Luc A Heijnen
- Department of Radiology, Maastricht University Medical Center, The Netherlands ; Department of Surgery, Maastricht University Medical Center, The Netherlands
| | - Walter H Backes
- Department of Radiology, Maastricht University Medical Center, The Netherlands
| | - Cornelis Verhoef
- Department of Surgical Oncology, Erasmus MC Cancer Institute, The Netherlands
| | - Meng-Su Zeng
- Department of Radiology, Zhongshan Hospital, Fudan University, China
| | - Geerard L Beets
- Department of Surgery, Maastricht University Medical Center, The Netherlands ; GROW School for Oncology and Developmental Biology, The Netherlands
| | - Regina Gh Beets-Tan
- Department of Radiology, Maastricht University Medical Center, The Netherlands ; GROW School for Oncology and Developmental Biology, The Netherlands
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