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1.
J Urol ; 206(3): 595-603, 2021 09.
Article in English | MEDLINE | ID: mdl-33908801

ABSTRACT

PURPOSE: The appropriate number of systematic biopsy cores to retrieve during magnetic resonance imaging (MRI)-targeted prostate biopsy is not well defined. We aimed to demonstrate a biopsy sampling approach that reduces required core count while maintaining diagnostic performance. MATERIALS AND METHODS: We collected data from a cohort of 971 men who underwent MRI-ultrasound fusion targeted biopsy for suspected prostate cancer. A regional targeted biopsy (RTB) was evaluated retrospectively; only cores within 2 cm of the margin of a radiologist-defined region of interest were considered part of the RTB. We compared detection rates for clinically significant prostate cancer (csPCa) and cancer upgrading rate on final whole mount pathology after prostatectomy between RTB, combined, MRI-targeted, and systematic biopsy. RESULTS: A total of 16,459 total cores from 971 men were included in the study data sets, of which 1,535 (9%) contained csPCa. The csPCa detection rates for systematic, MRI-targeted, combined, and RTB were 27.0% (262/971), 38.3% (372/971), 44.8% (435/971), and 44.0% (427/971), respectively. Combined biopsy detected significantly more csPCa than systematic and MRI-targeted biopsy (p <0.001 and p=0.004, respectively) but was similar to RTB (p=0.71), which used on average 3.8 (22%) fewer cores per patient. In 102 patients who underwent prostatectomy, there was no significant difference in upgrading rates between RTB and combined biopsy (p=0.84). CONCLUSIONS: A RTB approach can maintain state-of-the-art detection rates while requiring fewer retrieved cores. This result informs decision making about biopsy site selection and total retrieved core count.


Subject(s)
Multimodal Imaging/methods , Prostate/pathology , Prostatectomy/statistics & numerical data , Prostatic Neoplasms/diagnosis , Aged , Biopsy, Large-Core Needle/methods , Biopsy, Large-Core Needle/statistics & numerical data , Datasets as Topic , Feasibility Studies , Humans , Image-Guided Biopsy/methods , Image-Guided Biopsy/statistics & numerical data , Magnetic Resonance Imaging, Interventional/methods , Magnetic Resonance Imaging, Interventional/statistics & numerical data , Male , Middle Aged , Multimodal Imaging/statistics & numerical data , Multiparametric Magnetic Resonance Imaging/statistics & numerical data , Neoplasm Grading , Prostate/diagnostic imaging , Prostate/surgery , Prostatic Neoplasms/pathology , Prostatic Neoplasms/surgery , Retrospective Studies , Spatial Analysis , Ultrasonography, Interventional/statistics & numerical data
2.
J Urol ; 206(5): 1157-1165, 2021 11.
Article in English | MEDLINE | ID: mdl-34181465

ABSTRACT

PURPOSE: We sought to evaluate whether bilateral prostate cancer detected at active surveillance (AS) enrollment is associated with progression to Grade Group (GG) ≥2 and to compare the efficacy of combined targeted biopsy plus systematic biopsy (Cbx) vs systematic biopsy (Sbx) or targeted biopsy alone to detect bilateral disease. MATERIALS AND METHODS: A prospectively maintained database of patients referred to our institution from 2007-2020 was queried. The study cohort included all AS patients with GG1 on confirmatory Cbx and followup of at least 1 year. Cox proportional hazard analysis identified baseline characteristics associated with progression to ≥GG2 at any point throughout followup. RESULTS: Of 579 patients referred, 103 patients had GG1 on Cbx and were included in the study; 49/103 (47.6%) patients progressed to ≥GG2, with 30/72 (41.7%) patients with unilateral disease progressing and 19/31 (61.3%) patients with bilateral disease progressing. Median time to progression was 68 months vs 52 months for unilateral and bilateral disease, respectively (p=0.006). Both prostate specific antigen density (HR 1.72, p=0.005) and presence of bilateral disease (HR 2.21, p=0.012) on confirmatory biopsy were associated with AS progression. At time of progression, GG and risk group were significantly higher in patients with bilateral versus unilateral disease. Cbx detected 16% more patients with bilateral disease than Sbx alone. CONCLUSIONS: Bilateral disease and prostate specific antigen density at confirmatory Cbx conferred greater risk of earlier AS progression. Cbx was superior to Sbx for identifying bilateral disease. AS risk-stratification protocols may benefit from including presence of bilateral disease and should use Cbx to detect bilateral disease.


Subject(s)
Prostate/diagnostic imaging , Prostate/pathology , Prostatic Neoplasms/diagnosis , Watchful Waiting/statistics & numerical data , Aged , Biopsy, Large-Core Needle/methods , Biopsy, Large-Core Needle/statistics & numerical data , Diffusion Magnetic Resonance Imaging/statistics & numerical data , Disease Progression , Humans , Image-Guided Biopsy/methods , Image-Guided Biopsy/statistics & numerical data , Kallikreins/blood , Magnetic Resonance Imaging, Interventional/statistics & numerical data , Male , Middle Aged , Multimodal Imaging/methods , Multimodal Imaging/statistics & numerical data , Neoplasm Grading , Prospective Studies , Prostate-Specific Antigen/blood , Prostatic Neoplasms/blood , Prostatic Neoplasms/pathology , Prostatic Neoplasms/therapy , Risk Assessment/methods , Risk Assessment/statistics & numerical data , Risk Factors , Ultrasonography, Interventional/statistics & numerical data
3.
BMC Cancer ; 21(1): 1015, 2021 Sep 10.
Article in English | MEDLINE | ID: mdl-34507549

ABSTRACT

BACKGROUND: Graft versus host disease (GvHD) is a frequent complication of allogeneic stem cell transplantation (alloSCT), significantly increasing mortality. Previous imaging studies focused on the assessment of intestinal GvHD with contrast-enhanced MRI/CT or 18F-FDG-PET imaging alone. The objective of this retrospective study was to elucidate the diagnostic value of a combined 18F-FDG-PET-MRI protocol in patients with acute intestinal GvHD. METHODS: Between 2/2015 and 8/2019, 21 patients with acute intestinal GvHD underwent 18F-FDG-PET-MRI. PET, MRI and PET-MRI datasets were independently reviewed. Readers assessed the number of affected segments of the lower gastrointestinal tract and the reliability of the diagnosis on a 5-point Likert scale and quantitative PET (SUVmax, SUVpeak, metabolic volume (MV)) and MRI parameter (wall thickness), were correlated to clinical staging of acute intestinal GvHD. RESULTS: The detection rate for acute intestinal GvHD was 56.8% for PET, 61.4% for MRI and 100% for PET-MRI. PET-MRI (median Likert-scale value: 5; range: 4-5) offers a significantly higher reliability of the diagnosis compared to PET (median: 4; range: 2-5; p = 0.01) and MRI alone (median: 4; range: 3-5; p = 0.03). The number of affected segments in PET-MRI (rs = 0.677; p <  0.001) and the MV (rs = 0.703; p <  0.001) correlated significantly with the clinical stage. SUVmax (rs = 0.345; p = 0.14), SUVpeak (rs = 0.276; p = 0.24) and wall thickening (rs = 0.174; p = 0.17) did not show a significant correlation to clinical stage. CONCLUSION: 18F-FDG-PET-MRI allows for highly reliable assessment of acute intestinal GvHD and adds information indicating clinical severity.


Subject(s)
Fluorodeoxyglucose F18 , Graft vs Host Disease/diagnostic imaging , Intestinal Diseases/diagnostic imaging , Magnetic Resonance Imaging/methods , Multimodal Imaging/methods , Positron-Emission Tomography/methods , Radiopharmaceuticals , Acute Disease , Adult , Aged , Allografts , Female , Humans , Magnetic Resonance Imaging/statistics & numerical data , Male , Middle Aged , Multimodal Imaging/statistics & numerical data , Positron-Emission Tomography/statistics & numerical data , Reference Standards , Reproducibility of Results , Retrospective Studies , Stem Cell Transplantation/adverse effects , Whole Body Imaging/methods
4.
Ultrasound Obstet Gynecol ; 58(5): 766-772, 2021 Nov.
Article in English | MEDLINE | ID: mdl-33587289

ABSTRACT

OBJECTIVE: To evaluate the feasibility and clinical application of fusion imaging with virtual navigation, combining 18 F-fluorodeoxyglucose (18 F-FDG) positron emission tomography/computed tomography (PET/CT) with real-time ultrasound imaging, in assessing superficial lymph nodes in breast-cancer and gynecological-cancer patients. METHODS: This was a pilot study of breast- and gynecological-cancer patients with abnormal uptake of 18 F-FDG by axillary or groin lymph nodes on PET/CT scan, examined at our institution between January 2017 and May 2019. Fusion imaging was performed, uploading preacquired PET/CT DICOM images onto the ultrasound machine and synchronizing them with real-time ultrasound scanning performed at the lymph-node site. In the first phase, we assessed the feasibility and reliability of fusion imaging in a series of 10 patients with suspicious lymph nodes on both PET/CT and ultrasound, and with full correspondence between both techniques in terms of size, shape and morphology of the lymph nodes (Group A). In the second phase, we included 20 patients with non-corresponding findings between PET/CT and ultrasound: 10 patients with lymph nodes that were suspicious or pathological on PET/CT scan but not suspicious on ultrasound assessment (Group B), and 10 patients with suspicious or pathological lymph nodes on both PET/CT and ultrasound but with no correspondence between the two techniques in terms of number of affected lymph nodes (Group C). RESULTS: In the 30 selected patients, fusion imaging was assessed at 30 lymph-node sites (22 inguinal and eight axillary nodes). In the first phase (Group A), the fusion technique was shown to be feasible in all 10 lymph-node sites evaluated. In the second phase, fusion imaging was completed successfully in nine of 10 cases in Group B and in all 10 cases in Group C. In all groups, fusion imaging was able to identify the target lymph node, guiding the examiner to perform a core-needle aspiration biopsy or to inject radiotracer for selective surgical nodal excision, according to the radio-guided occult lesion localization technique. CONCLUSION: Fusion imaging with virtual navigation, combining PET/CT and real-time ultrasound imaging, is technically feasible and able to detect target lymph nodes even when PET/CT and ultrasound findings are inconsistent. Fusion imaging can also be used to guide the performance of core-needle aspiration biopsy, avoiding further surgical diagnostic procedures, or the injection of radiotracer for selective surgical nodal excision, enabling more sparing, selective surgery. This innovative technique could open up multiple diagnostic and therapeutic opportunities in breast and gynecological oncology. © 2021 International Society of Ultrasound in Obstetrics and Gynecology.


Subject(s)
Breast Neoplasms/diagnostic imaging , Lymph Nodes/diagnostic imaging , Multimodal Imaging/statistics & numerical data , Positron Emission Tomography Computed Tomography/statistics & numerical data , Ultrasonography/statistics & numerical data , Adult , Aged , Aged, 80 and over , Computer Systems , Feasibility Studies , Female , Fluorodeoxyglucose F18 , Humans , Lymphatic Metastasis/diagnostic imaging , Middle Aged , Multimodal Imaging/methods , Pilot Projects , Positron Emission Tomography Computed Tomography/methods , Radiopharmaceuticals , Reproducibility of Results , Ultrasonography/methods
5.
Philos Trans A Math Phys Eng Sci ; 379(2204): 20200190, 2021 Aug 23.
Article in English | MEDLINE | ID: mdl-34218676

ABSTRACT

A software-based workflow is proposed for managing the execution of simulation and image reconstruction for SPECT, PET, CBCT, MRI, BLI and FMI packages in single and multimodal biomedical imaging applications. The workflow is composed of a Bash script, the purpose of which is to provide an interface to the user, and to organize data flow between dedicated programs for simulation and reconstruction. The currently incorporated simulation programs comprise GATE for Monte Carlo simulation of SPECT, PET and CBCT, SpinScenario for simulating MRI, and Lipros for Monte Carlo simulation of BLI and FMI. Currently incorporated image reconstruction programs include CASToR for SPECT and PET as well as RTK for CBCT. MetaImage (mhd) standard is used for voxelized phantom and image data format. Meshlab project (mlp) containers incorporating polygon meshes and point clouds defined by the Stanford triangle format (ply) are employed to represent anatomical structures for optical simulation, and to represent tumour cell inserts. A number of auxiliary programs have been developed for data transformation and adaptive parameter assignment. The software workflow uses fully automatic distribution to, and consolidation from, any number of Linux workstations and CPU cores. Example data are presented for clinical SPECT, PET and MRI systems using the Mida head phantom and for preclinical X-ray, PET and BLI systems employing the Digimouse phantom. The presented method unifies and simplifies multimodal simulation setup and image reconstruction management and might be of value for synergistic image research. This article is part of the theme issue 'Synergistic tomographic image reconstruction: part 2'.


Subject(s)
Multimodal Imaging/statistics & numerical data , Software , Animals , Computer Simulation , Humans , Image Interpretation, Computer-Assisted/statistics & numerical data , Mice , Monte Carlo Method , Phantoms, Imaging , Radiographic Image Interpretation, Computer-Assisted/statistics & numerical data , Workflow
6.
Philos Trans A Math Phys Eng Sci ; 379(2204): 20210111, 2021 Aug 23.
Article in English | MEDLINE | ID: mdl-34218672

ABSTRACT

This special issue is the second part of a themed issue that focuses on synergistic tomographic image reconstruction and includes a range of contributions in multiple disciplines and application areas. The primary subject of study lies within inverse problems which are tackled with various methods including statistical and computational approaches. This volume covers algorithms and methods for a wide range of imaging techniques such as spectral X-ray computed tomography (CT), positron emission tomography combined with CT or magnetic resonance imaging, bioluminescence imaging and fluorescence-mediated imaging as well as diffuse optical tomography combined with ultrasound. Some of the articles demonstrate their utility on real-world challenges, either medical applications (e.g. motion compensation for imaging patients) or applications in material sciences (e.g. material decomposition and characterization). One of the desired outcomes of the special issues is to bring together different scientific communities which do not usually interact as they do not share the same platforms such as journals and conferences. This article is part of the theme issue 'Synergistic tomographic image reconstruction: part 2'.


Subject(s)
Image Interpretation, Computer-Assisted/statistics & numerical data , Multimodal Imaging/statistics & numerical data , Tomography/statistics & numerical data , Algorithms , Humans , Motion , Radiographic Image Interpretation, Computer-Assisted/statistics & numerical data , Software , Tomography, X-Ray Computed/statistics & numerical data
7.
Philos Trans A Math Phys Eng Sci ; 379(2204): 20200208, 2021 Aug 23.
Article in English | MEDLINE | ID: mdl-34218674

ABSTRACT

SIRF is a powerful PET/MR image reconstruction research tool for processing data and developing new algorithms. In this research, new developments to SIRF are presented, with focus on motion estimation and correction. SIRF's recent inclusion of the adjoint of the resampling operator allows gradient propagation through resampling, enabling the MCIR technique. Another enhancement enabled registering and resampling of complex images, suitable for MRI. Furthermore, SIRF's integration with the optimization library CIL enables the use of novel algorithms. Finally, SPM is now supported, in addition to NiftyReg, for registration. Results of MR and PET MCIR reconstructions are presented, using FISTA and PDHG, respectively. These demonstrate the advantages of incorporating motion correction and variational and structural priors. This article is part of the theme issue 'Synergistic tomographic image reconstruction: part 2'.


Subject(s)
Algorithms , Image Interpretation, Computer-Assisted/statistics & numerical data , Magnetic Resonance Imaging/statistics & numerical data , Multimodal Imaging/statistics & numerical data , Positron-Emission Tomography/statistics & numerical data , Artifacts , Humans , Imaging, Three-Dimensional/statistics & numerical data , Motion , Respiration , Software
8.
Philos Trans A Math Phys Eng Sci ; 379(2200): 20200189, 2021 Jun 28.
Article in English | MEDLINE | ID: mdl-33966460

ABSTRACT

This special issue focuses on synergistic tomographic image reconstruction in a range of contributions in multiple disciplines and various application areas. The topic of image reconstruction covers substantial inverse problems (Mathematics) which are tackled with various methods including statistical approaches (e.g. Bayesian methods, Monte Carlo) and computational approaches (e.g. machine learning, computational modelling, simulations). The issue is separated in two volumes. This volume focuses mainly on algorithms and methods. Some of the articles will demonstrate their utility on real-world challenges, either medical applications (e.g. cardiovascular diseases, proton therapy planning) or applications in material sciences (e.g. material decomposition and characterization). One of the desired outcomes of the special issue is to bring together different scientific communities which do not usually interact as they do not share the same platforms (such as journals and conferences). This article is part of the theme issue 'Synergistic tomographic image reconstruction: part 1'.


Subject(s)
Image Processing, Computer-Assisted/methods , Tomography/methods , Algorithms , Bayes Theorem , Computer Simulation , Humans , Image Processing, Computer-Assisted/statistics & numerical data , Machine Learning , Mathematical Concepts , Monte Carlo Method , Multimodal Imaging/methods , Multimodal Imaging/statistics & numerical data , Tomography/statistics & numerical data
9.
Philos Trans A Math Phys Eng Sci ; 379(2204): 20200195, 2021 Aug 23.
Article in English | MEDLINE | ID: mdl-34218668

ABSTRACT

Multimodal imaging is an active branch of research as it has the potential to improve common medical imaging techniques. Diffuse optical tomography (DOT) is an example of a low resolution, functional imaging modality that typically has very low resolution due to the ill-posedness of its underlying inverse problem. Combining the functional information of DOT with a high resolution structural imaging modality has been studied widely. In particular, the combination of DOT with ultrasound (US) could serve as a useful tool for clinicians for the formulation of accurate diagnosis of breast lesions. In this paper, we propose a novel method for US-guided DOT reconstruction using a portable time-domain measurement system. B-mode US imaging is used to retrieve morphological information on the probed tissues by means of a semi-automatical segmentation procedure based on active contour fitting. A two-dimensional to three-dimensional extrapolation procedure, based on the concept of distance transform, is then applied to generate a three-dimensional edge-weighting prior for the regularization of DOT. The reconstruction procedure has been tested on experimental data obtained on specifically designed dual-modality silicon phantoms. Results show a substantial quantification improvement upon the application of the implemented technique. This article is part of the theme issue 'Synergistic tomographic image reconstruction: part 2'.


Subject(s)
Image Interpretation, Computer-Assisted/statistics & numerical data , Multimodal Imaging/statistics & numerical data , Tomography, Optical/statistics & numerical data , Ultrasonography/statistics & numerical data , Algorithms , Breast Neoplasms/diagnostic imaging , Female , Fourier Analysis , Humans , Image Enhancement/methods , Imaging, Three-Dimensional/statistics & numerical data , Linear Models , Phantoms, Imaging
10.
Philos Trans A Math Phys Eng Sci ; 379(2200): 20200194, 2021 Jun 28.
Article in English | MEDLINE | ID: mdl-33966458

ABSTRACT

Electrical and elasticity imaging are promising modalities for a suite of different applications, including medical tomography, non-destructive testing and structural health monitoring. These emerging modalities are capable of providing remote, non-invasive and low-cost opportunities. Unfortunately, both modalities are severely ill-posed nonlinear inverse problems, susceptive to noise and modelling errors. Nevertheless, the ability to incorporate complimentary datasets obtained simultaneously offers mutually beneficial information. By fusing electrical and elastic modalities as a joint problem, we are afforded the possibility to stabilize the inversion process via the utilization of auxiliary information from both modalities as well as joint structural operators. In this study, we will discuss a possible approach to combine electrical and elasticity imaging in a joint reconstruction problem giving rise to novel multi-modality applications for use in both medical and structural engineering. This article is part of the theme issue 'Synergistic tomographic image reconstruction: part 1'.


Subject(s)
Elasticity Imaging Techniques/methods , Electric Impedance , Image Processing, Computer-Assisted/methods , Tomography/methods , Computer Simulation , Elasticity , Elasticity Imaging Techniques/statistics & numerical data , Humans , Image Processing, Computer-Assisted/statistics & numerical data , Mathematical Concepts , Multimodal Imaging/methods , Multimodal Imaging/statistics & numerical data , Nonlinear Dynamics , Tomography/statistics & numerical data
11.
Philos Trans A Math Phys Eng Sci ; 379(2204): 20200207, 2021 Aug 23.
Article in English | MEDLINE | ID: mdl-34218675

ABSTRACT

Subject motion in positron emission tomography (PET) is a key factor that degrades image resolution and quality, limiting its potential capabilities. Correcting for it is complicated due to the lack of sufficient measured PET data from each position. This poses a significant barrier in calculating the amount of motion occurring during a scan. Motion correction can be implemented at different stages of data processing either during or after image reconstruction, and once applied accurately can substantially improve image quality and information accuracy. With the development of integrated PET-MRI (magnetic resonance imaging) scanners, internal organ motion can be measured concurrently with both PET and MRI. In this review paper, we explore the synergistic use of PET and MRI data to correct for any motion that affects the PET images. Different types of motion that can occur during PET-MRI acquisitions are presented and the associated motion detection, estimation and correction methods are reviewed. Finally, some highlights from recent literature in selected human and animal imaging applications are presented and the importance of motion correction for accurate kinetic modelling in dynamic PET-MRI is emphasized. This article is part of the theme issue 'Synergistic tomographic image reconstruction: part 2'.


Subject(s)
Algorithms , Magnetic Resonance Imaging/statistics & numerical data , Multimodal Imaging/statistics & numerical data , Positron-Emission Tomography/statistics & numerical data , Animals , Artifacts , Brain/diagnostic imaging , Cardiovascular System/diagnostic imaging , Databases, Factual , Humans , Image Interpretation, Computer-Assisted/statistics & numerical data , Motion , Movement , Myocardial Contraction , Neoplasms/diagnostic imaging , Respiration , Software
12.
Philos Trans A Math Phys Eng Sci ; 379(2200): 20200205, 2021 Jun 28.
Article in English | MEDLINE | ID: mdl-33966461

ABSTRACT

Imaging is omnipresent in modern society with imaging devices based on a zoo of physical principles, probing a specimen across different wavelengths, energies and time. Recent years have seen a change in the imaging landscape with more and more imaging devices combining that which previously was used separately. Motivated by these hardware developments, an ever increasing set of mathematical ideas is appearing regarding how data from different imaging modalities or channels can be synergistically combined in the image reconstruction process, exploiting structural and/or functional correlations between the multiple images. Here we review these developments, give pointers to important challenges and provide an outlook as to how the field may develop in the forthcoming years. This article is part of the theme issue 'Synergistic tomographic image reconstruction: part 1'.


Subject(s)
Image Interpretation, Computer-Assisted/methods , Multimodal Imaging/methods , Algorithms , Bayes Theorem , Biophysical Phenomena , Diagnostic Imaging/methods , Diagnostic Imaging/statistics & numerical data , Diagnostic Imaging/trends , Humans , Image Interpretation, Computer-Assisted/statistics & numerical data , Likelihood Functions , Machine Learning , Magnetic Resonance Imaging/methods , Magnetic Resonance Imaging/statistics & numerical data , Markov Chains , Mathematical Concepts , Multimodal Imaging/statistics & numerical data , Multimodal Imaging/trends , Neural Networks, Computer , Positron-Emission Tomography/methods , Positron-Emission Tomography/statistics & numerical data
13.
Philos Trans A Math Phys Eng Sci ; 379(2200): 20200202, 2021 Jun 28.
Article in English | MEDLINE | ID: mdl-33966463

ABSTRACT

Coronary artery disease (CAD) is caused by the formation of plaques in the coronary arteries and is one of the most common cardiovascular diseases. NaF-PET can be used to assess plaque composition, which could be important for therapy planning. One of the main challenges of NaF-PET is cardiac and respiratory motion which can strongly impair diagnostic accuracy. In this study, we investigated the use of a synergistic image registration approach which combined motion-resolved MR and PET data to estimate cardiac and respiratory motion. This motion estimation could then be used to improve the NaF-PET image quality. The approach was evaluated with numerical simulations and in vivo scans of patients suffering from CAD. In numerical simulations, it was shown, that combining MR and PET information can improve the accuracy of motion estimation by more than 15%. For the in vivo scans, the synergistic image registration led to an improvement in uptake visualization. This is the first study to assess the benefit of combining MR and NaF-PET for cardiac and respiratory motion estimation. Further patient evaluation is required to fully evaluate the potential of this approach. This article is part of the theme issue 'Synergistic tomographic image reconstruction: part 1'.


Subject(s)
Coronary Artery Disease/diagnostic imaging , Image Interpretation, Computer-Assisted/methods , Multimodal Imaging/methods , Computer Simulation , Coronary Vessels/diagnostic imaging , Fluorine Radioisotopes , Humans , Image Interpretation, Computer-Assisted/statistics & numerical data , Magnetic Resonance Imaging/methods , Magnetic Resonance Imaging/statistics & numerical data , Motion , Multimodal Imaging/statistics & numerical data , Myocardial Contraction , Plaque, Atherosclerotic/diagnostic imaging , Positron-Emission Tomography/methods , Positron-Emission Tomography/statistics & numerical data , Radiopharmaceuticals , Respiration , Sodium Fluoride
14.
J Urol ; 204(6): 1180-1186, 2020 12.
Article in English | MEDLINE | ID: mdl-32614257

ABSTRACT

PURPOSE: Magnetic resonance imaging guided biopsy which reveals no cancer may impart reassurance beyond that offered by ultrasound guided biopsy. However, followup of men after a negative magnetic resonance imaging guided biopsy has been mostly by prostate specific antigen testing and reports of followup tissue confirmation are few. We investigated the incidence of clinically significant prostate cancer in such men who, because of persistent cancer suspicion, subsequently underwent a repeat magnetic resonance imaging guided biopsy. MATERIALS AND METHODS: Subjects were all men with a negative initial magnetic resonance imaging guided biopsy who underwent at least 1 further magnetic resonance imaging guided biopsy due to continued clinical suspicion of clinically significant prostate cancer (September 2009 to July 2019). Biopsies were magnetic resonance imaging-ultrasound fusion with targeted and systematic cores. Regions of interest from initial magnetic resonance imaging and any new regions of interest at followup magnetic resonance imaging guided biopsy were targeted. The primary end point was detection of clinically significant prostate cancer (Gleason Grade Group 2 or greater). RESULTS: Of 2,716 men 733 had a negative initial magnetic resonance imaging guided biopsy. Study subjects were 73/733 who underwent followup magnetic resonance imaging guided biopsy. Median (IQR) age and prostate specific antigen density were 64 years (59-67) and 0.12 ng/ml/cc (0.08-0.17), respectively. Baseline PI-RADS® scores were 3 or greater in 74%. At followup magnetic resonance imaging guided biopsy (median 2.4 years, IQR 1.3-3.6), 17/73 (23%) were diagnosed with clinically significant prostate cancer. When followup magnetic resonance imaging revealed a lesion (PI-RADS 3 or greater), clinically significant prostate cancer was found in 17/53 (32%). When followup magnetic resonance imaging was negative (PI-RADS less than 3), cancer was not found (0/20) (p <0.01). Overall 54% of men with PI-RADS 5 at followup magnetic resonance imaging guided biopsy were found to have clinically significant prostate cancer. CONCLUSIONS: Men with negative magnetic resonance imaging following an initial negative magnetic resonance imaging guided biopsy are unlikely to harbor clinically significant prostate cancer and may avoid repeat biopsy. However, when lesions are seen on followup magnetic resonance imaging, repeat magnetic resonance imaging guided biopsy is warranted.


Subject(s)
Magnetic Resonance Imaging, Interventional/statistics & numerical data , Multimodal Imaging/statistics & numerical data , Prostate/pathology , Prostatic Neoplasms/epidemiology , Aged , Biopsy, Large-Core Needle/standards , Biopsy, Large-Core Needle/statistics & numerical data , False Negative Reactions , Humans , Image-Guided Biopsy/standards , Image-Guided Biopsy/statistics & numerical data , Incidence , Magnetic Resonance Imaging, Interventional/standards , Male , Middle Aged , Multimodal Imaging/standards , Practice Guidelines as Topic , Predictive Value of Tests , Prostate/diagnostic imaging , Prostatic Neoplasms/diagnosis , Prostatic Neoplasms/pathology , Reproducibility of Results , Risk Assessment/statistics & numerical data , Ultrasonography, Interventional/standards , Ultrasonography, Interventional/statistics & numerical data
15.
Ann Diagn Pathol ; 48: 151601, 2020 Oct.
Article in English | MEDLINE | ID: mdl-32871502

ABSTRACT

CONTEXT: Accurate assessment of clinical and pathological tumor stage is crucial for patient treatment and prognosis. OBJECTIVE: The aim of this study was to assess the concordance between the tumor size and focality between radiological studies and pathology and to evaluate the impact of discrepancies on staging. DESIGN: Patients who underwent surgery for invasive breast carcinoma from January 1, 2014, to December 31, 2015, were identified. RESULTS: Three imaging modalities (mammogram, ultrasound and MRI) were compared with gross examination and final pathology. 1152 preoperative radiological studies were evaluated for focality and 1019 were evaluated for tumor size. For all 3 radiographic modalities, there was a statistically significant difference between the mean tumor size on radiology and the final pathology report (mammogram, P < .001; ultrasound, P = .004; MRI, P < .001). In 29% of radiology studies, there was a discrepancy in stage. The error rate for determining focality was 28% for mammograms, 27% for ultrasounds, and 29% for MRIs. Tumor size from gross examination correlated with microscopic tumor size in 57% of cases, but gross examination had 88% concordance with the final pathology report in determining focality. CONCLUSION: Our study revealed statistically significant differences in mean tumor size reported across all 3 imaging modalities when compared to the final pathology report. MRI had the highest error rate, with a tendency to overestimate tumor size and number of foci. Among all diagnoses, cases of invasive carcinoma with an extensive intraductal component were most prone to discrepancies with imaging.


Subject(s)
Breast Neoplasms/diagnostic imaging , Breast Neoplasms/pathology , Multimodal Imaging/methods , Radiology/statistics & numerical data , Adult , Aged , Aged, 80 and over , Breast Neoplasms/surgery , Breast Neoplasms/ultrastructure , Female , Humans , Magnetic Resonance Imaging/methods , Magnetic Resonance Imaging/statistics & numerical data , Mammography/methods , Mammography/statistics & numerical data , Middle Aged , Multimodal Imaging/statistics & numerical data , Neoplasm Staging/methods , Prognosis , Retrospective Studies , Tumor Burden , Ultrasonography/methods , Ultrasonography/statistics & numerical data
16.
Eur Arch Otorhinolaryngol ; 276(8): 2259-2265, 2019 Aug.
Article in English | MEDLINE | ID: mdl-31098872

ABSTRACT

PURPOSE: To present outcome measures of sinonasal mucosal melanoma (SMM) patients with particular focus on current radiological and therapeutic options, especially in the non-curative setting (immunotherapy). METHODS: Retrospective study on SMM patients treated at our institution between January 1992 and December 2018. RESULTS: FDG-PET/MRI has emerged as the new hybrid imaging modality, addressing the need for high local tissue contrast in the paranasal sinuses and the skull base, while allowing for whole-body staging in search for distant metastases, including the brain. Primary treatment protocols consisted of tumor resection in 30/34 patients (88%), palliative radiation therapy (RT) in 3/34 patients (9%) and best supportive care therapy in 1/34 patient (3%). Of all the initially operated patients, 25/30 patients (83%) received adjuvant RT. A total of 9/34 patients (26%) was treated with immunotherapy after the previous combined therapy. For patients treated in curative intention, we observed a 1-year overall survival (OS) of 60% (18/30 patients) and a 3-year OS of 40% (12/30 patients). For patients treated with immunotherapy, median progression-free survival (PFS) was 5 months (IQR 0-13.75), with a maximum PFS of 16 months (combination of nivolumab and ipilimumab). However, there was no difference in OS in patients treated with immunotherapy vs. no immunotherapy (log rank 0.99). CONCLUSIONS: Sinonasal mucosal melanoma is a highly aggressive tumor, requiring multimodal therapy and developing a substantial incidence of distant metastases. The introduction of FDG-PET/MRI offers new possibilities in the radiological assessment of the tumor and immunotherapy has altered the management in the non-curative setting, resulting in a substantial progression-free survival in selected cases.


Subject(s)
Immunotherapy/methods , Ipilimumab/therapeutic use , Melanoma , Nivolumab/therapeutic use , Paranasal Sinus Neoplasms , Radiotherapy/methods , Aged , Antineoplastic Agents, Immunological/therapeutic use , Combined Modality Therapy , Female , Humans , Male , Melanoma/epidemiology , Melanoma/pathology , Melanoma/therapy , Middle Aged , Multimodal Imaging/methods , Multimodal Imaging/statistics & numerical data , Nasal Mucosa/pathology , Neoplasm Staging , Paranasal Sinus Neoplasms/epidemiology , Paranasal Sinus Neoplasms/pathology , Paranasal Sinus Neoplasms/therapy , Progression-Free Survival , Retrospective Studies , Switzerland/epidemiology
17.
Radiol Med ; 124(8): 768-776, 2019 Aug.
Article in English | MEDLINE | ID: mdl-30771217

ABSTRACT

Hybrid imaging procedures such as single-photon emission computed tomography/computed tomography (SPECT/CT) and positron emission tomography/computed tomography (PET/CT) showed a rapid diffusion in recent years because of their high sensitivity, specificity, and accuracy, due to a more accurate localization and definition of scintigraphic findings. However, hybrid systems inevitably lead to an increase in patient radiation exposure because of the added CT component. Effective doses due to the radiopharmaceuticals can be estimated by multiplying the administered activities by the effective dose coefficients, while for the CT component the dose-length product can be multiplied by a conversion coefficient k. However, the effective dose value is subject to a high degree of uncertainty and must be interpreted as a broad, generic estimate of biologic risk. Although the effective dose can be used to estimate and compare the risk of radiation exposure across multiple imaging techniques, clinicians should be aware that it represents a generic evaluation of the risk derived from a given procedure to a generic model of the human body. It cannot be applied to a single individual and should not be used for epidemiologic studies or the estimation of population risks due to the inherent uncertainties and oversimplifications involved. Practical ways to reduce radiation dose to patients eligible for hybrid imaging involve adjustments to both the planning phase and throughout the execution of the study. These methods include individual justification of radiation exposure, radiopharmaceutical choice, adherence to diagnostic reference levels (DLR), patient hydration and bladder voiding, adoption of new technical devices (sensitive detectors or collimators) with new reconstruction algorithms, and implementation of appropriate CT protocols and exposure parameters.


Subject(s)
Multimodal Imaging/adverse effects , Nuclear Medicine , Radiation Dosage , Radiation Exposure/prevention & control , Radiopharmaceuticals/adverse effects , Humans , Multimodal Imaging/methods , Multimodal Imaging/statistics & numerical data , Multimodal Imaging/trends , Nuclear Medicine/statistics & numerical data , Nuclear Medicine/trends , Positron Emission Tomography Computed Tomography/adverse effects , Positron Emission Tomography Computed Tomography/statistics & numerical data , Positron Emission Tomography Computed Tomography/trends , Publishing/statistics & numerical data , Publishing/trends , Radiopharmaceuticals/administration & dosage , Risk , Sensitivity and Specificity , Single Photon Emission Computed Tomography Computed Tomography/adverse effects , Single Photon Emission Computed Tomography Computed Tomography/statistics & numerical data , Single Photon Emission Computed Tomography Computed Tomography/trends , Tomography, X-Ray Computed/adverse effects
18.
J Neurosci Res ; 96(7): 1159-1175, 2018 07.
Article in English | MEDLINE | ID: mdl-29406599

ABSTRACT

Over the past decade, the simultaneous recording of electroencephalogram (EEG) and functional magnetic resonance imaging (fMRI) data has garnered growing interest because it may provide an avenue towards combining the strengths of both imaging modalities. Given their pronounced differences in temporal and spatial statistics, the combination of EEG and fMRI data is however methodologically challenging. Here, we propose a novel screening approach that relies on a Cross Multivariate Correlation Coefficient (xMCC) framework. This approach accomplishes three tasks: (1) It provides a measure for testing multivariate correlation and multivariate uncorrelation of the two modalities; (2) it provides criterion for the selection of EEG features; (3) it performs a screening of relevant EEG information by grouping the EEG channels into clusters to improve efficiency and to reduce computational load when searching for the best predictors of the BOLD signal. The present report applies this approach to a data set with concurrent recordings of steady-state-visual evoked potentials (ssVEPs) and fMRI, recorded while observers viewed phase-reversing Gabor patches. We test the hypothesis that fluctuations in visuo-cortical mass potentials systematically covary with BOLD fluctuations not only in visual cortical, but also in anterior temporal and prefrontal areas. Results supported the hypothesis and showed that the xMCC-based analysis provides straightforward identification of neurophysiological plausible brain regions with EEG-fMRI covariance. Furthermore xMCC converged with other extant methods for EEG-fMRI analysis.


Subject(s)
Brain Mapping/methods , Brain/diagnostic imaging , Electroencephalography/methods , Image Processing, Computer-Assisted/methods , Magnetic Resonance Imaging/methods , Adult , Brain/physiology , Brain Mapping/statistics & numerical data , Correlation of Data , Data Interpretation, Statistical , Electroencephalography/statistics & numerical data , Evoked Potentials, Visual , Female , Humans , Image Interpretation, Computer-Assisted/methods , Image Interpretation, Computer-Assisted/statistics & numerical data , Image Processing, Computer-Assisted/statistics & numerical data , Magnetic Resonance Imaging/statistics & numerical data , Male , Multimodal Imaging/methods , Multimodal Imaging/statistics & numerical data , Multivariate Analysis
19.
Radiology ; 283(2): 508-514, 2017 05.
Article in English | MEDLINE | ID: mdl-28234553

ABSTRACT

Purpose To determine the correlation between metabolic activity at fluorine 18 fluorodeoxyglucose (FDG) positron emission tomography (PET) and survival in patients with glioblastoma and suspected progression at posttherapy magnetic resonance (MR) imaging. Materials and Methods The authors retrospectively examined the relationship between metabolic activity at FDG PET in the residual lesion identified at brain MR imaging and survival time in 56 patients with glioblastoma who were treated with postoperative concurrent radiation and temozolomide therapy and who underwent FDG PET/computed tomography because of radiologic deterioration at follow-up MR imaging between 2006 and 2015. A normalized metric of metabolic activity in the residual lesion (standardized uptake value ratio [SUVr]) was calculated as the maximum standardized uptake value (SUVmax) in the tumor relative to that in healthy white matter. The primary end point of the study was survival time from PET. Patients were stratified according to SUVr. Comparisons of risk for death between subgroups were made with the log-hazard ratio of the Cox proportional hazard model. Results There was a significant association between overall survival and SUVr in the residual lesion (P = .006), and a survival benefit was observed in patients with SUVr of less than 1.7, who had a median survival time of 23.1 months (95% confidence interval [CI]: 12.7, 38.9), which was significantly longer than that in patients with an SUVr of 2.0 to less than 2.5 and those with an SUVr of at least 2.5, who had a median survival time of 10.1 (95% CI: 2.4, 15.9; P = .008) and 7.5 (95% CI: 3.9, 9.7; P < .001) months, respectively. Conclusion Patients with glioblastoma whose posttherapy MR images showed a residual lesion with high relative metabolic activity at FDG PET had a shorter survival time than did those with low activity at FDG PET. © RSNA, 2016.


Subject(s)
Brain Neoplasms/mortality , Brain Neoplasms/therapy , Glioblastoma/mortality , Glioblastoma/therapy , Multimodal Imaging/methods , Neoplasm Recurrence, Local/mortality , Brain Neoplasms/diagnostic imaging , Female , Fluorodeoxyglucose F18 , Glioblastoma/diagnostic imaging , Humans , Magnetic Resonance Imaging/statistics & numerical data , Male , Middle Aged , Multimodal Imaging/statistics & numerical data , Neoplasm Recurrence, Local/diagnosis , Neoplasm Recurrence, Local/prevention & control , Positron-Emission Tomography/statistics & numerical data , Prevalence , Prognosis , Radiopharmaceuticals , Reproducibility of Results , Retrospective Studies , Risk Assessment/methods , Sensitivity and Specificity , Survival Analysis , Virginia/epidemiology
20.
Eur J Nucl Med Mol Imaging ; 43(4): 695-706, 2016 Apr.
Article in English | MEDLINE | ID: mdl-26519292

ABSTRACT

PURPOSE: The Region of Southern Denmark (RSD), covering 1.2 of Denmark's 5.6 million inhabitants, established a task force to (1) retrieve literature evidence for the clinical use of positron emission tomography (PET)/CT and provide consequent recommendations and further to (2) compare the actual use of PET/CT in the RSD with these recommendations. This article summarizes the results. METHODS: A Work Group appointed a professional Subgroup which made Clinician Groups conduct literature reviews on six selected cancers responsible for 5,768 (62.6 %) of 9,213 PET/CT scans in the RSD in 2012. Rapid Evidence Assessment was applied, using the methodology of systematic reviews with predefined limitations to search PubMed, Embase and the Cochrane Library for articles published in English/Danish/Swedish/Norwegian since 2002. PICO questions were defined, data recorded and quality appraised and rated with regard to strength and evidence level. Consequent recommendations for applications of PET/CT were established. The actual use of PET/CT was compared with these, where grades A and B indicated "established" and "useful" and grades C and D "potentially useful" and "non-recommendable" indications, respectively. RESULTS: Of 11,729 citations, 1,729 were considered for review, and 204 were included. The evidence suggested usefulness of PET/CT in lung, lymphoma, melanoma, head and neck, and colorectal cancers, whereas evidence was sparse in gynaecological cancers. The agreement between actual use of PET/CT and literature-based recommendations was high in the first five mentioned cancers in that 96.2 % of scans were made for grade A or B indications versus only 22.2 % in gynaecological cancers. CONCLUSION: Evidence-based usefulness was reported in five of six selected cancers; evidence was sparse in the sixth, gynaecological cancers. Actual use of PET/CT agreed well with recommendations.


Subject(s)
Fluorodeoxyglucose F18 , Multimodal Imaging/statistics & numerical data , Neoplasms/diagnostic imaging , Positron-Emission Tomography/statistics & numerical data , Practice Guidelines as Topic , Radiopharmaceuticals , Tomography, X-Ray Computed/statistics & numerical data , Denmark , Humans
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