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Woernle A, Englman C, Dickinson L, Kirkham A, Punwani S, Haider A, Freeman A, Kasivisivanathan V, Emberton M, Hines J, Moore CM, Allen C, Giganti F. Picture Perfect: The Status of Image Quality in Prostate MRI. J Magn Reson Imaging 2024; 59:1930-1952. [PMID: 37804007 DOI: 10.1002/jmri.29025] [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: 07/01/2023] [Revised: 09/07/2023] [Accepted: 09/08/2023] [Indexed: 10/08/2023] Open
Abstract
Magnetic resonance imaging is the gold standard imaging modality for the diagnosis of prostate cancer (PCa). Image quality is a fundamental prerequisite for the ability to detect clinically significant disease. In this critical review, we separate the issue of image quality into quality improvement and quality assessment. Beginning with the evolution of technical recommendations for scan acquisition, we investigate the role of patient preparation, scanner factors, and more advanced sequences, including those featuring Artificial Intelligence (AI), in determining image quality. As means of quality appraisal, the published literature on scoring systems (including the Prostate Imaging Quality score), is evaluated. Finally, the application of AI and teaching courses as ways to facilitate quality assessment are discussed, encouraging the implementation of future image quality initiatives along the PCa diagnostic and monitoring pathway. EVIDENCE LEVEL: 3 TECHNICAL EFFICACY: Stage 3.
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Affiliation(s)
- Alexandre Woernle
- Faculty of Medical Sciences, University College London, London, UK
- Department of Radiology, University College London Hospital NHS Foundation Trust, London, UK
| | - Cameron Englman
- Department of Radiology, University College London Hospital NHS Foundation Trust, London, UK
- Division of Surgery & Interventional Science, University College London, London, UK
| | - Louise Dickinson
- Department of Radiology, University College London Hospital NHS Foundation Trust, London, UK
| | - Alex Kirkham
- Department of Radiology, University College London Hospital NHS Foundation Trust, London, UK
| | - Shonit Punwani
- Department of Radiology, University College London Hospital NHS Foundation Trust, London, UK
- Centre for Medical Imaging, University College London, London, UK
| | - Aiman Haider
- Department of Pathology, University College London Hospital NHS Foundation Trust, London, UK
| | - Alex Freeman
- Department of Pathology, University College London Hospital NHS Foundation Trust, London, UK
| | - Veeru Kasivisivanathan
- Division of Surgery & Interventional Science, University College London, London, UK
- Department of Urology, University College London Hospital NHS Foundation Trust, London, UK
| | - Mark Emberton
- Division of Surgery & Interventional Science, University College London, London, UK
- Department of Urology, University College London Hospital NHS Foundation Trust, London, UK
| | - John Hines
- Faculty of Medical Sciences, University College London, London, UK
- Department of Urology, University College London Hospital NHS Foundation Trust, London, UK
- North East London Cancer Alliance & North Central London Cancer Alliance Urology, London, UK
| | - Caroline M Moore
- Division of Surgery & Interventional Science, University College London, London, UK
- Department of Urology, University College London Hospital NHS Foundation Trust, London, UK
| | - Clare Allen
- Department of Radiology, University College London Hospital NHS Foundation Trust, London, UK
| | - Francesco Giganti
- Department of Radiology, University College London Hospital NHS Foundation Trust, London, UK
- Division of Surgery & Interventional Science, University College London, London, UK
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Dang S, Ma G, Duan H, Han D, Yang Q, Yu N, Yu Y, Duan X. Free-breathing BLADE fat-suppressed T2 weighted turbo spin echo sequence for distinguishing lung cancer from benign pulmonary nodules or masses: A pilot study. Magn Reson Imaging 2023; 102:79-85. [PMID: 36603779 DOI: 10.1016/j.mri.2022.12.025] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2022] [Accepted: 12/31/2022] [Indexed: 01/04/2023]
Abstract
OBJECTIVE Diffusion Weighted Imaging (DWI) can be used to differentiate benign and malignant pulmonary nodules or masses, while T2WI is also of great value in the differential diagnosis of them. For example, T2WI can be used to differentiate abscess from lung cancer. The study aims to quantitatively evaluate the efficacy of free-breathing BLADE fat-suppressed T2 weighted turbo spin echo sequence (BLADE T2WI) for differentiating lung cancer (LC) and benign pulmonary nodule or mass (BPNM). METHODS A total of 291 patients with LC (197 males, 94 females; mean age 63.2 years) and 74 BPNM patients (53 males, 21 females; mean age 62.8 years) who underwent BLADE T2WI at 3-T MRI between November 2016 and May 2022were included in this retrospective study. Two radiologists independently blinded observed the MR images and measured the T2 contrast ratio (T2CR). Mann-Whitney U test was used to compare T2CR values between the two groups, ROC curves were used to evaluate the diagnostic efficacy of BLADE T2WI. RESULTS The two radiologists had good inter-observer consistency for T2CR (ICC = 0.958). The T2CR of BPNM was significantly higher than LC (all p < 0.001); the cut-off value of T2CR was 2.135, and the sensitivity, specificity, and accuracy of diagnosis were 75.6%, 63.5%, and 73.2%, respectively. Moreover, T2CR correctly diagnosed 220 LC cases (220/291 = 75.6%) and 47 BPNM cases (47/74 = 63.5%). CONCLUSION The T2CR value of MR non-enhanced BLADE T2WI can be easily obtained and can quantitatively distinguish BPNM from LC, thus avoiding misdiagnosis caused by lack of work experience.
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Affiliation(s)
- Shan Dang
- The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shannxi 710061, China; Department of Radiology, Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang 712000, China
| | - Guangming Ma
- The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shannxi 710061, China; Department of Radiology, Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang 712000, China
| | - Haifeng Duan
- The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shannxi 710061, China; Department of Radiology, Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang 712000, China
| | - Dong Han
- The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shannxi 710061, China; Department of Radiology, Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang 712000, China
| | - Qi Yang
- The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shannxi 710061, China; Department of Radiology, Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang 712000, China
| | - Nan Yu
- Department of Radiology, Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang 712000, China; Shaanxi University of Chinese Medicine, Xianyang 712000, China
| | - Yong Yu
- The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shannxi 710061, China; Department of Radiology, Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang 712000, China; Shaanxi University of Chinese Medicine, Xianyang 712000, China
| | - Xiaoyi Duan
- The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shannxi 710061, China.
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Takeuchi T, Hayashi N, Asai Y, Kayaoka Y, Yoshida K. Novel method for evaluating spatial resolution of magnetic resonance images. Phys Eng Sci Med 2022; 45:487-496. [PMID: 35230638 DOI: 10.1007/s13246-022-01114-6] [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: 08/17/2021] [Accepted: 02/22/2022] [Indexed: 11/29/2022]
Abstract
Recently, several methods for evaluating the spatial resolution of magnetic resonance imaging have been reported. However, these methods are not simple and can only be used for specific devices. In this study, we develop a new method (the ladder method) and evaluate its measurement accuracy by adapting the International Electrotechnical Commission (IEC) method to evaluate the spatial resolution. First, the suitable condition for the ladder method was determined by numerical experiments. The ladder method uses a phantom with a periodic pattern which is based on IEC method. Subsequently, the ladder method is evaluated in terms of spatial resolution by dividing the standard deviation (SD) by the average signal in the region of interest (ROI) on the ladder phantom image. To evaluate the precision of the ladder method, it is compared with the modulation transfer function (MTF) calculated from an edge image. The numerical experiment result shows that the evaluation of the spatial resolution using the ladder method is viable, in which a single regression analysis's coefficient of correlation between ladder and MTF of 0.90 or higher is obtained for all evaluations. The ladder method can be assessed using only the signal mean value and SD in the ROI on the target image and exhibit a strong correlation with the MTF. Therefore, the ladder method is a promising method as a substitute for the MTF.
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Affiliation(s)
- Tomokazu Takeuchi
- Graduate School, Gunma Prefectural College of Health Sciences, Maebashi, Gunma, Japan.
| | - Norio Hayashi
- Graduate School, Gunma Prefectural College of Health Sciences, Maebashi, Gunma, Japan
| | - Yuta Asai
- Department of Radiology, Nippon Medical School Hospital, Tokyo, Japan
| | - Yuka Kayaoka
- MedCity21, Division of Premier Preventive Medicine, Osaka City University Hospital, Osaka, Japan
| | - Kiichi Yoshida
- Department of Radiology, Nippon Medical School Hospital, Tokyo, Japan
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Kirkpatrick IDC. Reducing Motion Artifacts in Pelvic Oncologic Magnetic Resonance Imaging: The Quest for the Free Lunch. Can Assoc Radiol J 2021; 73:287-288. [PMID: 34482748 DOI: 10.1177/08465371211039193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Affiliation(s)
- Iain D C Kirkpatrick
- Department of Diagnostic Radiology, University of Manitoba, St. Boniface General Hospital, Winnipeg, Manitoba, Canada
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Taffel MT, Rosenkrantz AB, Foster JA, Karajgikar JA, Smereka PN, Calasso F, Qian K, Chandarana H. Retrospective Assessment of the Impact of Primary Language Video Instructions on Image Quality of Abdominal MRI. J Am Coll Radiol 2021; 18:1635-1642. [PMID: 34419478 DOI: 10.1016/j.jacr.2021.07.020] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Revised: 07/23/2021] [Accepted: 07/28/2021] [Indexed: 11/29/2022]
Abstract
PURPOSE To assess the impact of instructional videos in patients' primary language on abdominal MR image quality for whom English is a second language (ESL). METHODS Twenty-nine ESL patients viewed Spanish or Mandarin Chinese instructional videos (approximately 2.5 min in duration) in the preparation room before abdominal MRI (ESL-video group). Comparison groups included 50 ESL patients who underwent MRI before video implementation (ESL-no video group) and 81 English-speaking patients who were matched for age, sex, magnet strength, and history of prior MRI with patients in the first two groups. Three radiologists independently assessed respiratory motion and image quality on turbo spin-echo T2-weighted images (T2WI) and postcontrast T1-weighted images (T1WI) using 1 to 5 Likert scales. Groups were compared using Kruskal-Wallis tests as well as generalized estimating equations (GEEs) to adjust for possible confounders. RESULTS For T2WI respiratory motion and T2WI overall image quality, Likert scores of the ESL-no video group (mean score across readers of 2.6 ± 0.1 and 2.6 ± 0.1) were lower (all P < .001) compared with English-speaking (3.3 ± 0.2 and 3.3 ± 0.1) and ESL-video (3.2 ± 0.1 and 3.0 ± 0.2) groups. In the GEE model, mean T2WI respiratory motion (both adjusted P < .001) and T2WI overall quality (adjusted P = .03 and .11) were higher in English and ESL-video groups compared with ESL-no video group. For T1WI respiratory motion and T1WI overall image quality, Likert scores were not different between groups (P > .05), including in the GEE model (adjusted P > .05). CONCLUSION Providing ESL patients with an instructional video in their primary language before abdominal MRI is an effective intervention to improve imaging quality.
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Affiliation(s)
- Myles T Taffel
- Associate Section Head, Abdominal Imaging, Department of Radiology, NYU Grossman School of Medicine, NYU Langone Health, New York, New York.
| | - Andrew B Rosenkrantz
- Section Head, Abdominal Imaging, Department of Radiology, NYU Grossman School of Medicine, NYU Langone Health, New York, New York
| | - Jonathan A Foster
- Department of Radiology, NYU Grossman School of Medicine, NYU Langone Health, New York, New York
| | - Jay A Karajgikar
- Department of Radiology, NYU Grossman School of Medicine, NYU Langone Health, New York, New York
| | - Paul N Smereka
- Department of Radiology, NYU Grossman School of Medicine, NYU Langone Health, New York, New York
| | - Felicia Calasso
- Department of Radiology, NYU Grossman School of Medicine, NYU Langone Health, New York, New York
| | - Kun Qian
- Division of Biostatistics, Department of Population Health, NYU Grossman School of Medicine, NYU Langone Health, New York, New York
| | - Hersh Chandarana
- Associate Chair, Clinical and Translational Research, Department of Radiology, NYU Grossman School of Medicine, NYU Langone Health, New York, New York
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Czyzewska D, Sushentsev N, Latoch E, Slough RA, Barrett T. T2-PROPELLER Compared to T2-FRFSE for Image Quality and Lesion Detection at Prostate MRI. Can Assoc Radiol J 2021; 73:355-361. [PMID: 34423672 DOI: 10.1177/08465371211030206] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
PURPOSE The primary objective was to compare T2-FRFSE and T2-PROPELLER sequences for image quality. The secondary objective was to compare the ability to detect prostate lesions at MRI in the presence and absence of motion artefact using the 2 sequences. METHODS 99 patients underwent 3 T MRI examination of the prostate, including T2-FRFSE and T2-PROPELLER sequences. All patients underwent prostate biopsy. Two independent readers rated overall image quality, presence of motion artefact, and blurring for both sequences using a 5-point Likert scale. Scores were compared for the whole group and for subgroups with and without significant motion artefact. Outcome for lesion detection at an MRI threshold of PI-RADS score ≥3 was compared between T2-FRFSE and T2-PROPELLER. RESULTS The overall image quality was not significantly different between T2-FRFSE and T2-PROPELLER sequences (3.74 vs. 3.93, p = 0.275). T2-PROPELLER recorded a lesser degree of motion artefact (score 4.53 vs. 3.78, p <0.0001), but demonstrated greater image blurring (score 3.29 vs. 3.73, p <0.001). However, in a subgroup of patients with significant motion artefact on T2-FRFSE, the T2-PROPELLER sequence demonstrated significantly higher image quality (3.46 vs. 2.49, p <0.001). T2-FRFSE and T2-PROPELLER showed comparable positive predictive values for lesion detection at 93.2% and 97.7%, respectively. CONCLUSIONS T2-PROPELLER provides higher quality imaging in the presence of motion artefact, but T2-FRFSE is preferred in the absence of motion. T2-PROPELLER is therefore recommended as a secondary T2 sequence when imaging requires repeat acquisition due to motion artefact.
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Affiliation(s)
- Dorota Czyzewska
- Department of Clinical Physiology, Nuclear Medicine & PET, Rigshospitalet, Copenhagen, Denmark
| | - Nikita Sushentsev
- Department of Radiology, Addenbrooke's Hospital and University of Cambridge, Cambridge, UK
| | - Eryk Latoch
- Department of Pediatric Oncology and Hematology, Medical University of Bialystok, Poland
| | - Rhys A Slough
- Department of Radiology, Addenbrooke's Hospital and University of Cambridge, Cambridge, UK
| | - Tristan Barrett
- Department of Radiology, Addenbrooke's Hospital and University of Cambridge, Cambridge, UK.,CamPARI Prostate Cancer Group, Addenbrooke's Hospital and University of Cambridge, Cambridge, United Kingdom
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Taffel MT, Huang C, Karajgikar JA, Melamud K, Zhang HC, Rosenkrantz AB. Retrospective analysis of the effect of limited english proficiency on abdominal MRI image quality. Abdom Radiol (NY) 2020; 45:2895-2901. [PMID: 32047995 DOI: 10.1007/s00261-020-02433-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
PURPOSE To evaluate the effect of English proficiency on abdominal MRI imaging quality. METHODS Three equal-sized cohorts of patients undergoing 3T abdominal MRI were identified based on English proficiency as documented in the EMR: Primary language of English; English as a second language (ESL)/no translator needed; or ESL, translator needed (42 patients per cohort for total study size of 126 patients). Three radiologists independently used a 1-5 Likert scale to assess respiratory motion and image quality on turbo spin-echo T2WI and post-contrast T1WI. Groups were compared using Kruskal-Wallis tests. RESULTS For T2WI respiratory motion, all three readers scored the Translator group significantly worse than the English and ESL/no-Translator groups (mean scores across readers of 2.98 vs. 3.58 and 3.51; p values < 0.001-0.008). For T2WI overall image quality, all three readers also scored the Translator group significantly worse than the English and ESL/no-Translator groups (2.77 vs. 3.28 and 3.31; p values 0.002-0.005). For T1WI respiratory motion, mean scores were not significantly different between groups (English: 4.14, ESL/no-Translator: 4.02, Translator: 3.94; p values 0.398-0.597). For T1WI overall image quality, mean scores also were not significantly different (4.09, 3.99, and 3.95, respectively; p values 0.369-0.831). CONCLUSION Abdominal MR examinations show significantly worse T2WI respiratory motion and overall image quality when requiring a translator, even compared with non-translator exams in non-English primary language patients. Strategies are warranted to improve coordination among MR technologists, translators, and non-English speaking patients undergoing abdominal MR, to ensure robust image quality in this vulnerable patient population.
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Affiliation(s)
- Myles T Taffel
- Department of Radiology, NYU School of Medicine, NYU Langone Medical Center, New York, NY, 10016, USA.
- Department of Radiology, Center for Biomedical Imaging, NYU School of Medicine, NYU Langone Medical Center, 660 First Avenue, 3rd Floor, New York, NY, 10016, USA.
| | - Chenchan Huang
- Department of Radiology, NYU School of Medicine, NYU Langone Medical Center, New York, NY, 10016, USA
| | - Jay A Karajgikar
- Department of Radiology, NYU School of Medicine, NYU Langone Medical Center, New York, NY, 10016, USA
| | - Kira Melamud
- Department of Radiology, NYU School of Medicine, NYU Langone Medical Center, New York, NY, 10016, USA
| | - Hoi Cheung Zhang
- Department of Radiology, NYU School of Medicine, NYU Langone Medical Center, New York, NY, 10016, USA
| | - Andrew B Rosenkrantz
- Department of Radiology, NYU School of Medicine, NYU Langone Medical Center, New York, NY, 10016, USA
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Kargar S, Borisch EA, Froemming AT, Grimm RC, Kawashima A, King BF, Stinson EG, Riederer SJ. Modified acquisition strategy for reduced motion artifact in super resolution T 2 FSE multislice MRI: Application to prostate. Magn Reson Med 2020; 84:2537-2550. [PMID: 32419197 DOI: 10.1002/mrm.28315] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2020] [Revised: 03/24/2020] [Accepted: 04/19/2020] [Indexed: 11/07/2022]
Abstract
PURPOSE To reduce slice-to-slice motion effects in multislice T 2 -weighted fast-spin-echo ( T 2 FSE) imaging, manifest as "scalloping" in reformats, by modification of the acquisition strategy and to show applicability in prostate MRI. METHODS T 2 FSE images of contiguous or overlapping slices are typically acquired using multiple passes in which each pass is comprised of multiple slices with slice-to-slice gaps. Combination of slices from all passes provides the desired sampling. For enhancement of through-plane resolution with super resolution or for reformatting into other orientations, subtle ≈1 mm motion between passes can cause objectionable "scalloping" artifact. Here we address this by subdivision of each pass into multiple segments. Interleaving of segments from the multiple passes causes all slices to be acquired over substantially the same time, reducing pass-to-pass motion effects. This was implemented in acquiring 78 overlapped T 2 FSE axial slices and studied in phantoms and in 14 prostate MRI patients. Super-resolution axial images and sagittal reformats from the original and new segmented acquisitions were evaluated by 3 uroradiologists. RESULTS For all criteria of sagittal reformats, the segmented acquisition was statistically superior to the original. For all sharpness criteria of axial images, although the trend preferred the original acquisition, the difference was not significant. For artifact in axial images, the segmented acquisition was significantly superior. CONCLUSIONS For prostate MRI the new segmented acquisition significantly reduces the scalloping motion artifact that can be present in reformats due to long time lags between the acquisition of adjacent or overlapped slices while retaining image sharpness in the acquired axial slices.
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Affiliation(s)
- Soudabeh Kargar
- Biomedical Engineering and Physiology, Mayo Clinic, Rochester, MN, USA
- Radiology, Mayo Clinic, Rochester, MN, USA
- Radiology, University of Wisconsin-Madison, Madison, WI, USA
| | | | | | | | | | | | | | - Stephen J Riederer
- Biomedical Engineering and Physiology, Mayo Clinic, Rochester, MN, USA
- Radiology, Mayo Clinic, Rochester, MN, USA
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Yuan Y, Chen L, Ren S, Wang Z, Chen Y, Jin A, Li S, Fang X, Wang T, Bian Y, Yang Q, Bai C, Hao Q, Lu J. Diagnostic performance in T staging for patients with esophagogastric junction cancer using high-resolution MRI: a comparison with conventional MRI at 3 tesla. Cancer Imaging 2019; 19:83. [PMID: 31801587 PMCID: PMC6894201 DOI: 10.1186/s40644-019-0269-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2019] [Accepted: 11/22/2019] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND To investigate and compare the diagnostic performance in T staging for patients with esophagogastric junction cancer using high-resolution magnetic resonance imaging (HR MRI), as compared with conventional MRI at 3 Tesla. METHODS A total of 118 patients with pathologically confirmed esophagogastric junction cancer were included and underwent multiparameter HR MRI (Cohort 1, 62 patients) or conventional MRI (Cohort 2, 56 patients). T2-weighted, T1-weighted, diffusion-weighted and contrast-enhanced T1-weighted images of each patient were evaluated by two radiologists who determined the preoperative T staging by consensus. Using pathologic staging as the gold standard, the consistency between HR MRI and pathology and between conventional MRI and pathology in T staging was calculated and compared. The overall accuracy, overstatement and understatement of HR MRI and conventional MRI in T staging of patients with esophagogastric junction cancer were computed and compared. Moreover, the diagnostic performance of HR MRI and conventional MRI in T staging (≤ T1 and ≥ T4) of patients with esophagogastric junction cancer were evaluated. RESULTS There were no significant differences in age (p = 0.465) and sex (p = 0.175) between Cohorts 1 and 2. Excellent agreement was observed in the T staging of patients with esophagogastric junction cancer between pathology and HR MRI (kappa = 0.813), while moderate agreement was observed between pathology and conventional MRI (kappa = 0.486). Significant differences were observed in overall accuracy (88.7% vs 64.3%, p = 0.002) and understatement (1.6% vs 26.8%, p < 0.001) but not for overstatement (9.7% vs 8.9%, p = 0.889) in T staging between HR MRI and conventional MRI techniques. For differentiating the T stages of ≤ T1 from ≥ T2 and the T stages of ≤ T3 from ≥ T4, no significant differences were observed between the imaging techniques. CONCLUSIONS HR MRI has good diagnostic performance and may serve as an alternative technique in the T staging of patients with esophagogastric junction cancer in clinical practice.
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Affiliation(s)
- Yuan Yuan
- Department of Radiology, Changhai Hospital of Shanghai, Second Military Medical University, No.168 Changhai Road, Shanghai, 200433 China
| | - Luguang Chen
- Department of Radiology, Changhai Hospital of Shanghai, Second Military Medical University, No.168 Changhai Road, Shanghai, 200433 China
| | - Shengnan Ren
- Department of Nuclear medicine, Changhai Hospital of Shanghai, Shanghai, China
| | - Zhen Wang
- Department of Radiology, Changhai Hospital of Shanghai, Second Military Medical University, No.168 Changhai Road, Shanghai, 200433 China
| | - Yukun Chen
- Department of Radiology, Changhai Hospital of Shanghai, Second Military Medical University, No.168 Changhai Road, Shanghai, 200433 China
| | - Aiguo Jin
- Department of Radiology, Changhai Hospital of Shanghai, Second Military Medical University, No.168 Changhai Road, Shanghai, 200433 China
| | - Shuai Li
- Department of Radiology, Changhai Hospital of Shanghai, Second Military Medical University, No.168 Changhai Road, Shanghai, 200433 China
| | - Xu Fang
- Department of Radiology, Changhai Hospital of Shanghai, Second Military Medical University, No.168 Changhai Road, Shanghai, 200433 China
| | - Tiegong Wang
- Department of Radiology, Changhai Hospital of Shanghai, Second Military Medical University, No.168 Changhai Road, Shanghai, 200433 China
| | - Yun Bian
- Department of Radiology, Changhai Hospital of Shanghai, Second Military Medical University, No.168 Changhai Road, Shanghai, 200433 China
| | - Qingsong Yang
- Department of Radiology, Changhai Hospital of Shanghai, Second Military Medical University, No.168 Changhai Road, Shanghai, 200433 China
| | - Chenguang Bai
- Department of Pathology, Changhai Hospital of Shanghai, Shanghai, China
| | - Qiang Hao
- Department of Radiology, Changhai Hospital of Shanghai, Second Military Medical University, No.168 Changhai Road, Shanghai, 200433 China
| | - Jianping Lu
- Department of Radiology, Changhai Hospital of Shanghai, Second Military Medical University, No.168 Changhai Road, Shanghai, 200433 China
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Accuracy of 3-T MRI for Preoperative T Staging of Esophageal Cancer After Neoadjuvant Chemotherapy, With Histopathologic Correlation. AJR Am J Roentgenol 2019; 212:788-795. [PMID: 30673335 DOI: 10.2214/ajr.18.20204] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
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11
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Gholizadeh N, Fuangrod T, Greer PB, Lau P, Ramadan S, Simpson J. An inter-centre statistical scale standardisation for quantitatively evaluating prostate tissue on T2-weighted MRI. AUSTRALASIAN PHYSICAL & ENGINEERING SCIENCES IN MEDICINE 2019; 42:137-147. [PMID: 30637607 DOI: 10.1007/s13246-019-00720-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/11/2018] [Accepted: 01/04/2019] [Indexed: 12/28/2022]
Abstract
Magnetic resonance images (MRI) require intensity standardisation if they are used for the purpose of quantitative analysis as inherent variations in image intensity levels between different image sets are manifest due to technical factors. One approach is to standardise the image intensity values using a statistically applied biological reference tissue. The aim of this study is to compare the performance of differing candidate biological reference tissues for standardising T2WI intensity distributions. Fifty-one prostate cancer patients across two centres with different scanners were evaluated using the percentage interpatient coefficient of variation (%interCV) for four different biological references; femoral bone marrow, ischioanal fossa, obturator-internus muscle and bladder urine. The tissue with the highest reproducibility (lowest %interCV) in both centres was used for intensity standardisation of prostate T2WI using three different statistical measures (mean, Z-score, median + Interquartile Range). The performance of different standardisation methods was evaluated from the assessment of image intensity histograms and the percentage normalised root mean square error (%NRSME) of the healthy peripheral zone tissue. Ischioanal fossa as a reference tissue demonstrated the highest reproducibility with %interCV of 18.9 for centre1 and 11.2 for centre2. Using ischioanal fossa for statistical intensity standardisation and the median + Interquartile Range method demonstrated the lowest %NRMSE across centres for healthy peripheral zone tissues. This study demonstrates ischioanal fossa as a preferred reference tissue for standardising intensity values from T2WI of the prostate. Subsequent image standardisation using the median + Interquartile Range intensity of the reference tissue demonstrated a robust and reliable standardisation method for quantitative image assessment.
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Affiliation(s)
- Neda Gholizadeh
- School of Health Sciences, University of Newcastle, Callaghan, NSW, Australia.
| | - Todsaporn Fuangrod
- School of Medicine and Public Health, HRH Princess Chulabhorn College of Medical Science, Chulabhorn Royal Academy, Bangkok, Thailand
| | - Peter B Greer
- Department of Radiation Oncology, Calvary Mater Newcastle, Waratah, Newcastle, NSW, Australia.,School of Physics and Mathematics, University Of Newcastle, Callaghan, Newcastle, NSW, Australia
| | - Peter Lau
- Imaging Centre, Hunter Medical Research Institute (HMRI), New Lambton Heights, NSW, Australia.,Department of Radiology, Calvary Mater Newcastle, Waratah, Newcastle, NSW, 2310, Australia
| | - Saadallah Ramadan
- School of Health Sciences, University of Newcastle, Callaghan, NSW, Australia.,Imaging Centre, Hunter Medical Research Institute (HMRI), New Lambton Heights, NSW, Australia
| | - John Simpson
- Department of Radiation Oncology, Calvary Mater Newcastle, Waratah, Newcastle, NSW, Australia.,School of Physics and Mathematics, University Of Newcastle, Callaghan, Newcastle, NSW, Australia
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12
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Czarniecki M, Caglic I, Grist JT, Gill AB, Lorenc K, Slough RA, Priest AN, Barrett T. Role of PROPELLER-DWI of the prostate in reducing distortion and artefact from total hip replacement metalwork. Eur J Radiol 2018; 102:213-219. [PMID: 29685538 DOI: 10.1016/j.ejrad.2018.03.021] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2017] [Revised: 03/13/2018] [Accepted: 03/15/2018] [Indexed: 01/17/2023]
Abstract
OBJECTIVE To compare image quality, artefact, and distortion in standard echo-planar imaging (EPI) with periodically rotated overlapping parallel lines with enhanced reconstruction (PROPELLER) for prostate magnetic resonance imaging (MRI) diffusion-weighted imaging (DWI) in patients with previous total hip replacement (THR). METHODS 21 male subjects with a clinical suspicion for, or known prostate cancer and previous THR were scanned at 1.5 T using a phased-array body coil. DWI was obtained using single-shot EPI and PROPELLER techniques using fat saturation (PROPELLER-DWI-FS), and without (PROPELLER-DWI-NFS). Image quality (the overall impression of diagnostic quality) was compared to T2-weighted (T2WI) imaging using a 5-point Likert scale, with diffusion sequences additionally scored for artefact and distortion according to a 4-point scale, with artefact defined as the amount of prostate affected and distortion as the degree of warping of the organ. The T2W and DW image volumes were compared to produce quantitative distortion maps. A two-sample Wilcoxon test compared the qualitative scores, with inter-reader variability calculated using Cohen's kappa. RESULTS 21 patients were included in the study, with an average age of 70.4 years and PSA 9.2 ng/ml. Hip metalwork was present bilaterally in 3 patients, left-sided in 9, and right-sided in 9. PROPELLER-DWI-FS significantly improved image quality (p < 0.01) and reduced distortion (p < 0.01) when compared to standard EP-DWI. Artefact was not shown to be significantly improved. The last 5 patients in the study were additionally imaged with PROPELLER-DWI-NFS, which resulted in a significant reduction in artefact compared to EP-DWI (p < 0.05). Quantitative distortion was significantly lower compared to EP-DWI for both PROPELLER with fat saturation (p < 0.01) and without fat saturation (p < 0.01). CONCLUSION PROPELLER-DWI demonstrates better image quality and decreases both artefact and distortion compared to conventional echo planar sequences in patients with hip metalwork.
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Affiliation(s)
- Marcin Czarniecki
- Department of Radiology, Addenbrooke's Hospital and University of Cambridge, Cambridge, UK; Department of Radiology, Masovian Brodno Hospital, Warsaw, Poland.
| | - Iztok Caglic
- Department of Radiology, Addenbrooke's Hospital and University of Cambridge, Cambridge, UK
| | - James T Grist
- Department of Radiology, Addenbrooke's Hospital and University of Cambridge, Cambridge, UK
| | - Andrew B Gill
- Department of Radiology, Addenbrooke's Hospital and University of Cambridge, Cambridge, UK
| | - Kamil Lorenc
- Nalecz Institute of Biocybernetics and Biomedical Engineering Polish Academy of Sciences, Warsaw, Poland.
| | - Rhys A Slough
- Department of Radiology, Addenbrooke's Hospital and University of Cambridge, Cambridge, UK
| | - Andrew N Priest
- Department of Radiology, Addenbrooke's Hospital and University of Cambridge, Cambridge, UK
| | - Tristan Barrett
- Department of Radiology, Addenbrooke's Hospital and University of Cambridge, Cambridge, UK; CamPARI Clinic, Addenbrooke's Hospital and University of Cambridge, Cambridge, UK
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13
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Meier-Schroers M, Marx C, Schmeel FC, Wolter K, Gieseke J, Block W, Sprinkart AM, Traeber F, Willinek W, Schild HH, Kukuk GM. Revised PROPELLER for T2-weighted imaging of the prostate at 3 Tesla: impact on lesion detection and PI-RADS classification. Eur Radiol 2017; 28:24-30. [DOI: 10.1007/s00330-017-4949-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2017] [Revised: 05/18/2017] [Accepted: 06/15/2017] [Indexed: 12/20/2022]
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14
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Bagheri MH, Ahlman MA, Lindenberg L, Turkbey B, Lin J, Cahid Civelek A, Malayeri AA, Agarwal PK, Choyke PL, Folio LR, Apolo AB. Advances in medical imaging for the diagnosis and management of common genitourinary cancers. Urol Oncol 2017; 35:473-491. [PMID: 28506596 PMCID: PMC5931389 DOI: 10.1016/j.urolonc.2017.04.014] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2017] [Revised: 04/05/2017] [Accepted: 04/15/2017] [Indexed: 01/01/2023]
Abstract
Medical imaging of the 3 most common genitourinary (GU) cancers-prostate adenocarcinoma, renal cell carcinoma, and urothelial carcinoma of the bladder-has evolved significantly during the last decades. The most commonly used imaging modalities for the diagnosis, staging, and follow-up of GU cancers are computed tomography, magnetic resonance imaging (MRI), and positron emission tomography (PET). Multiplanar multidetector computed tomography and multiparametric MRI with diffusion-weighted imaging are the main imaging modalities for renal cell carcinoma and urothelial carcinoma, and although multiparametric MRI is rapidly becoming the main imaging tool in the evaluation of prostate adenocarcinoma, biopsy is still required for diagnosis. Functional and molecular imaging using 18-fluorodeoxyglucose-PET and sodium fluoride-PET are essential for the diagnosis, and especially follow-up, of metastatic GU tumors. This review provides an overview of the latest advances in the imaging of these 3 major GU cancers.
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Affiliation(s)
- Mohammad H Bagheri
- Clinical Image Processing Service, Radiology and Imaging Sciences Department, Clinical Center, National Institutes of Health, Bethesda, MD
| | - Mark A Ahlman
- Nuclear Medicine Department, Clinical Center, National Institutes of Health, Bethesda, MD; Radiology and Imaging Sciences Department, Clinical Center, National Institutes of Health, Bethesda, MD
| | - Liza Lindenberg
- Molecular Imaging Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Baris Turkbey
- Molecular Imaging Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Jeffrey Lin
- Genitourinary Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Ali Cahid Civelek
- Radiology and Imaging Sciences Department, Clinical Center, National Institutes of Health, Bethesda, MD
| | - Ashkan A Malayeri
- Radiology and Imaging Sciences Department, Clinical Center, National Institutes of Health, Bethesda, MD
| | - Piyush K Agarwal
- Urologic Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Peter L Choyke
- Molecular Imaging Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Les R Folio
- Radiology and Imaging Sciences Department, Clinical Center, National Institutes of Health, Bethesda, MD
| | - Andrea B Apolo
- Genitourinary Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD.
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Abstract
Improvements in prostate MR imaging techniques and the introduction of MR imaging-targeted biopsies have had central roles in prostate cancer (PCa) management. The role of MR imaging has progressed from largely staging patients with biopsy-proven PCa to detecting, characterizing, and guiding the biopsy of suspected PCa. These diagnostic advances, combined with improved therapeutic interventions, have led to a more sophisticated and individually tailored approach to patients' unique PCa profile. This review discusses the MR imaging, a standardized reporting scheme, and the role of fusion-targeted prostate biopsy.
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Affiliation(s)
- Hiram Shaish
- Department of Radiology, NYU Langone Medical Center, 550 1st Avenue, New York, NY 10016, USA.
| | - Samir S Taneja
- Division of Urologic Oncology, Department of Urology, NYU Langone Medical Center, 550 1st Avenue, New York, NY 10016, USA
| | - Andrew B Rosenkrantz
- Department of Radiology, NYU Langone Medical Center, 550 1st Avenue, New York, NY 10016, USA
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Rosenkrantz AB, Babb JS, Taneja SS, Ream JM. Proposed Adjustments to PI-RADS Version 2 Decision Rules: Impact on Prostate Cancer Detection. Radiology 2016; 283:119-129. [PMID: 27783538 DOI: 10.1148/radiol.2016161124] [Citation(s) in RCA: 128] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Purpose To test the impact of existing Prostate Imaging Reporting and Data System (PI-RADS) version 2 (V2) decision rules, as well as of proposed adjustments to these decision rules, on detection of Gleason score (GS) 7 or greater (GS ≥7) prostate cancer. Materials and Methods Two radiologists independently provided PI-RADS V2 scores for the dominant lesion on 343 prostate magnetic resonance (MR) examinations. Diagnostic performance for GS ≥7 tumor was assessed by using MR imaging-ultrasonography fusion-targeted biopsy as the reference. The impact of existing PI-RADS V2 decision rules, as well as a series of exploratory proposed adjustments, on the frequency of GS ≥7 tumor detection, was evaluated. Results A total of 210 lesions were benign, 43 were GS 6, and 90 were GS ≥7. Lesions were GS ≥7 in 0%-4.1% of PI-RADS categories 1 and 2, 11.4%-27.1% of PI-RADS category 3, 44.4%-49.3% of PI-RADS category 4, and 72.1%-73.7% of PI-RADS category 5 lesions. PI-RADS category 4 or greater had sensitivity of 78.9%-87.8% and specificity of 75.5%-79.1 for detecting GS ≥7 tumor. The frequency of GS ≥7 tumor for existing PI-RADS V2 decision rules was 30.0%-33.3% in peripheral zone (PZ) lesions upgraded from category 3 to 4 based on dynamic contrast enhancement (DCE) score of positive; 50.0%-66.7% in transition zone (TZ) lesions upgraded from category 3 to 4 based on diffusion-weighted imaging (DWI) score of 5; and 71.7%-72.7% of lesions in both zones upgraded from category 4 to 5 based on size of 15 mm or greater. The frequency of GS ≥7 tumor for proposed adjustments to the decision rules was 30.0%-60.0% for TZ lesions upgraded from category 3 to 4 based on DWI score of 4; 33.3%-57.1% for TZ lesions upgraded from category 3 to 4 based on DCE score of positive when incorporating new criteria (unencapsulated sheetlike enhancement) for DCE score of positive in TZ; and 56.4%-61.9% for lesions in both zones upgraded from category 4 to 5 based on size of 10-14 mm. Other proposed adjustments yielded GS ≥7 tumor in less than 15% of cases for one or more readers. Conclusion Existing PI-RADS V2 decision rules exhibited reasonable performance in detecting GS ≥7 tumor. Several proposed adjustments to the criteria (in TZ, upgrading category 3 to 4 based on DWI score of 4 or modified DCE score of positive; in PZ or TZ, upgrading category 4 to 5 based on size of 10-14 mm) may also have value for this purpose. © RSNA, 2016 Online supplemental material is available for this article.
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Affiliation(s)
- Andrew B Rosenkrantz
- From the Department of Radiology, Center for Biomedical Imaging (A.B.R., J.S.B., J.M.R.), and Department of Urology, Division of Urologic Oncology (S.S.T.), NYU School of Medicine, NYU Langone Medical Center, 660 First Ave, 3rd Floor, New York, NY 10016
| | - James S Babb
- From the Department of Radiology, Center for Biomedical Imaging (A.B.R., J.S.B., J.M.R.), and Department of Urology, Division of Urologic Oncology (S.S.T.), NYU School of Medicine, NYU Langone Medical Center, 660 First Ave, 3rd Floor, New York, NY 10016
| | - Samir S Taneja
- From the Department of Radiology, Center for Biomedical Imaging (A.B.R., J.S.B., J.M.R.), and Department of Urology, Division of Urologic Oncology (S.S.T.), NYU School of Medicine, NYU Langone Medical Center, 660 First Ave, 3rd Floor, New York, NY 10016
| | - Justin M Ream
- From the Department of Radiology, Center for Biomedical Imaging (A.B.R., J.S.B., J.M.R.), and Department of Urology, Division of Urologic Oncology (S.S.T.), NYU School of Medicine, NYU Langone Medical Center, 660 First Ave, 3rd Floor, New York, NY 10016
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17
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Gupta RT, Spilseth B, Patel N, Brown AF, Yu J. Multiparametric prostate MRI: focus on T2-weighted imaging and role in staging of prostate cancer. Abdom Radiol (NY) 2016; 41:831-43. [PMID: 27193786 DOI: 10.1007/s00261-015-0579-5] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Multiparametric MRI (mpMRI) represents a growing modality for the non-invasive evaluation of prostate cancer (PCa) and is increasingly being used for patients with persistently elevated PSA and prior negative biopsies, for monitoring patients in active surveillance protocols, for preoperative characterization of cancer for surgical planning, and in planning for MRI-targeted biopsy. The focus of this work is twofold. First, we review the key role of T2-weighted imaging (T2WI) in mpMRI, specifically outlining how it is used for anatomic evaluation of the prostate, detection of clinically significant PCa, assessment of extraprostatic extension (EPE), and mimics of PCa on this sequence. We will also discuss optimal technical acquisition parameters for this sequence and recent technical advancements in T2WI. Second, we will delineate the role that mpMRI plays in the staging of PCa and describe the implications of the information that mpMRI can provide in determining the most appropriate management plan for the patient with PCa.
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18
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Rosenkrantz AB, Ginocchio LA, Cornfeld D, Froemming AT, Gupta RT, Turkbey B, Westphalen AC, Babb JS, Margolis DJ. Interobserver Reproducibility of the PI-RADS Version 2 Lexicon: A Multicenter Study of Six Experienced Prostate Radiologists. Radiology 2016; 280:793-804. [PMID: 27035179 DOI: 10.1148/radiol.2016152542] [Citation(s) in RCA: 357] [Impact Index Per Article: 44.6] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Purpose To determine the interobserver reproducibility of the Prostate Imaging Reporting and Data System (PI-RADS) version 2 lexicon. Materials and Methods This retrospective HIPAA-compliant study was institutional review board-approved. Six radiologists from six separate institutions, all experienced in prostate magnetic resonance (MR) imaging, assessed prostate MR imaging examinations performed at a single center by using the PI-RADS lexicon. Readers were provided screen captures that denoted the location of one specific lesion per case. Analysis entailed two sessions (40 and 80 examinations per session) and an intersession training period for individualized feedback and group discussion. Percent agreement (fraction of pairwise reader combinations with concordant readings) was compared between sessions. κ coefficients were computed. Results No substantial difference in interobserver agreement was observed between sessions, and the sessions were subsequently pooled. Agreement for PI-RADS score of 4 or greater was 0.593 in peripheral zone (PZ) and 0.509 in transition zone (TZ). In PZ, reproducibility was moderate to substantial for features related to diffusion-weighted imaging (κ = 0.535-0.619); fair to moderate for features related to dynamic contrast material-enhanced (DCE) imaging (κ = 0.266-0.439); and fair for definite extraprostatic extension on T2-weighted images (κ = 0.289). In TZ, reproducibility for features related to lesion texture and margins on T2-weighted images ranged from 0.136 (moderately hypointense) to 0.529 (encapsulation). Among 63 lesions that underwent targeted biopsy, classification as PI-RADS score of 4 or greater by a majority of readers yielded tumor with a Gleason score of 3+4 or greater in 45.9% (17 of 37), without missing any tumor with a Gleason score of 3+4 or greater. Conclusion Experienced radiologists achieved moderate reproducibility for PI-RADS version 2, and neither required nor benefitted from a training session. Agreement tended to be better in PZ than TZ, although was weak for DCE in PZ. The findings may help guide future PI-RADS lexicon updates. (©) RSNA, 2016 Online supplemental material is available for this article.
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Affiliation(s)
- Andrew B Rosenkrantz
- From the Department of Radiology, NYU School of Medicine, NYU Langone Medical Center, 660 1st Ave, Third Floor, New York, NY 10016 (A.B.R., L.A.G., J.S.B.); Department of Radiology, Yale School of Medicine, New Haven, Conn (D.C.); Department of Radiology, Mayo Clinic, Rochester, Minn (A.T.F.); Department of Radiology, Duke University Medical Center, Duke Cancer Institute, Durham, NC (R.T.G.); Molecular Imaging Program, National Cancer Institute, National Institutes of Health, Bethesda, Md (B.T.); Departments of Radiology and Biomedical Imaging and Urology, University of California-San Francisco, San Francisco, Calif (A.C.W.); and Department of Radiology, David Geffen School of Medicine at UCLA, Los Angeles, Calif (D.J.M.)
| | - Luke A Ginocchio
- From the Department of Radiology, NYU School of Medicine, NYU Langone Medical Center, 660 1st Ave, Third Floor, New York, NY 10016 (A.B.R., L.A.G., J.S.B.); Department of Radiology, Yale School of Medicine, New Haven, Conn (D.C.); Department of Radiology, Mayo Clinic, Rochester, Minn (A.T.F.); Department of Radiology, Duke University Medical Center, Duke Cancer Institute, Durham, NC (R.T.G.); Molecular Imaging Program, National Cancer Institute, National Institutes of Health, Bethesda, Md (B.T.); Departments of Radiology and Biomedical Imaging and Urology, University of California-San Francisco, San Francisco, Calif (A.C.W.); and Department of Radiology, David Geffen School of Medicine at UCLA, Los Angeles, Calif (D.J.M.)
| | - Daniel Cornfeld
- From the Department of Radiology, NYU School of Medicine, NYU Langone Medical Center, 660 1st Ave, Third Floor, New York, NY 10016 (A.B.R., L.A.G., J.S.B.); Department of Radiology, Yale School of Medicine, New Haven, Conn (D.C.); Department of Radiology, Mayo Clinic, Rochester, Minn (A.T.F.); Department of Radiology, Duke University Medical Center, Duke Cancer Institute, Durham, NC (R.T.G.); Molecular Imaging Program, National Cancer Institute, National Institutes of Health, Bethesda, Md (B.T.); Departments of Radiology and Biomedical Imaging and Urology, University of California-San Francisco, San Francisco, Calif (A.C.W.); and Department of Radiology, David Geffen School of Medicine at UCLA, Los Angeles, Calif (D.J.M.)
| | - Adam T Froemming
- From the Department of Radiology, NYU School of Medicine, NYU Langone Medical Center, 660 1st Ave, Third Floor, New York, NY 10016 (A.B.R., L.A.G., J.S.B.); Department of Radiology, Yale School of Medicine, New Haven, Conn (D.C.); Department of Radiology, Mayo Clinic, Rochester, Minn (A.T.F.); Department of Radiology, Duke University Medical Center, Duke Cancer Institute, Durham, NC (R.T.G.); Molecular Imaging Program, National Cancer Institute, National Institutes of Health, Bethesda, Md (B.T.); Departments of Radiology and Biomedical Imaging and Urology, University of California-San Francisco, San Francisco, Calif (A.C.W.); and Department of Radiology, David Geffen School of Medicine at UCLA, Los Angeles, Calif (D.J.M.)
| | - Rajan T Gupta
- From the Department of Radiology, NYU School of Medicine, NYU Langone Medical Center, 660 1st Ave, Third Floor, New York, NY 10016 (A.B.R., L.A.G., J.S.B.); Department of Radiology, Yale School of Medicine, New Haven, Conn (D.C.); Department of Radiology, Mayo Clinic, Rochester, Minn (A.T.F.); Department of Radiology, Duke University Medical Center, Duke Cancer Institute, Durham, NC (R.T.G.); Molecular Imaging Program, National Cancer Institute, National Institutes of Health, Bethesda, Md (B.T.); Departments of Radiology and Biomedical Imaging and Urology, University of California-San Francisco, San Francisco, Calif (A.C.W.); and Department of Radiology, David Geffen School of Medicine at UCLA, Los Angeles, Calif (D.J.M.)
| | - Baris Turkbey
- From the Department of Radiology, NYU School of Medicine, NYU Langone Medical Center, 660 1st Ave, Third Floor, New York, NY 10016 (A.B.R., L.A.G., J.S.B.); Department of Radiology, Yale School of Medicine, New Haven, Conn (D.C.); Department of Radiology, Mayo Clinic, Rochester, Minn (A.T.F.); Department of Radiology, Duke University Medical Center, Duke Cancer Institute, Durham, NC (R.T.G.); Molecular Imaging Program, National Cancer Institute, National Institutes of Health, Bethesda, Md (B.T.); Departments of Radiology and Biomedical Imaging and Urology, University of California-San Francisco, San Francisco, Calif (A.C.W.); and Department of Radiology, David Geffen School of Medicine at UCLA, Los Angeles, Calif (D.J.M.)
| | - Antonio C Westphalen
- From the Department of Radiology, NYU School of Medicine, NYU Langone Medical Center, 660 1st Ave, Third Floor, New York, NY 10016 (A.B.R., L.A.G., J.S.B.); Department of Radiology, Yale School of Medicine, New Haven, Conn (D.C.); Department of Radiology, Mayo Clinic, Rochester, Minn (A.T.F.); Department of Radiology, Duke University Medical Center, Duke Cancer Institute, Durham, NC (R.T.G.); Molecular Imaging Program, National Cancer Institute, National Institutes of Health, Bethesda, Md (B.T.); Departments of Radiology and Biomedical Imaging and Urology, University of California-San Francisco, San Francisco, Calif (A.C.W.); and Department of Radiology, David Geffen School of Medicine at UCLA, Los Angeles, Calif (D.J.M.)
| | - James S Babb
- From the Department of Radiology, NYU School of Medicine, NYU Langone Medical Center, 660 1st Ave, Third Floor, New York, NY 10016 (A.B.R., L.A.G., J.S.B.); Department of Radiology, Yale School of Medicine, New Haven, Conn (D.C.); Department of Radiology, Mayo Clinic, Rochester, Minn (A.T.F.); Department of Radiology, Duke University Medical Center, Duke Cancer Institute, Durham, NC (R.T.G.); Molecular Imaging Program, National Cancer Institute, National Institutes of Health, Bethesda, Md (B.T.); Departments of Radiology and Biomedical Imaging and Urology, University of California-San Francisco, San Francisco, Calif (A.C.W.); and Department of Radiology, David Geffen School of Medicine at UCLA, Los Angeles, Calif (D.J.M.)
| | - Daniel J Margolis
- From the Department of Radiology, NYU School of Medicine, NYU Langone Medical Center, 660 1st Ave, Third Floor, New York, NY 10016 (A.B.R., L.A.G., J.S.B.); Department of Radiology, Yale School of Medicine, New Haven, Conn (D.C.); Department of Radiology, Mayo Clinic, Rochester, Minn (A.T.F.); Department of Radiology, Duke University Medical Center, Duke Cancer Institute, Durham, NC (R.T.G.); Molecular Imaging Program, National Cancer Institute, National Institutes of Health, Bethesda, Md (B.T.); Departments of Radiology and Biomedical Imaging and Urology, University of California-San Francisco, San Francisco, Calif (A.C.W.); and Department of Radiology, David Geffen School of Medicine at UCLA, Los Angeles, Calif (D.J.M.)
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Quon JS, Moosavi B, Khanna M, Flood TA, Lim CS, Schieda N. False positive and false negative diagnoses of prostate cancer at multi-parametric prostate MRI in active surveillance. Insights Imaging 2015; 6:449-63. [PMID: 26002487 PMCID: PMC4519810 DOI: 10.1007/s13244-015-0411-3] [Citation(s) in RCA: 61] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2015] [Revised: 05/02/2015] [Accepted: 05/08/2015] [Indexed: 01/02/2023] Open
Abstract
Abstract MP-MRI is a critical component in active surveillance (AS) of prostate cancer (PCa) because of a high negative predictive value for clinically significant tumours. This review illustrates pitfalls of MP-MRI and how to recognise and avoid them. The anterior fibromuscular stroma and central zone are low signal on T2W-MRI/apparent diffusion coefficient (ADC), resembling PCa. Location, progressive enhancement and low signal on b ≥1000 mm²/s echo-planar images (EPI) are differentiating features. BPH can mimic PCa. Glandular BPH shows increased T2W/ADC signal, cystic change and progressive enhancement; however, stromal BPH resembles transition zone (TZ) PCa. A rounded morphology, low T2 signal capsule and posterior/superior location favour stromal BPH. Acute/chronic prostatitis mimics PCa at MP-MRI, with differentiation mainly on clinical grounds. Visual analysis of diffusion-weighted MRI must include EPI and appropriate windowing of ADC. Quantitative ADC analysis is limited by lack of standardization; the ADC ratio and ADC histogram analysis are alternatives to mean values. DCE lacks standardisation and has limited utility in the TZ, where T2W/DWI are favoured. Targeted TRUS-guided biopsies of MR-detected lesions are challenging. Lesions detected on MP-MRI may not be perfectly targeted with TRUS and this must be considered when faced with a suspicious lesion on MP-MRI and a negative targeted TRUS biopsy histopathological result. Keypoints • Multi-parametric MRI plays a critical role in prostate cancer active surveillance. • Low T2W signal intensity structures appear dark on ADC, potentially simulating cancer. • Stromal BPH mimics cancer at DWI and DCE. • Long b value trace EPI should be reviewed • Targeted biopsy of MR-detected lesions using TRUS guidance may be challenging.
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Affiliation(s)
- Jeffrey S Quon
- Department of Medical Imaging, The Ottawa Hospital, The University of Ottawa, 1053 Carling Avenue, Ottawa, ON, Canada, K1Y 4E9,
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Shah ZK, Elias SN, Abaza R, Zynger DL, DeRenne LA, Knopp MV, Guo B, Schurr R, Heymsfield SB, Jia G. Performance comparison of 1.5-T endorectal coil MRI with 3.0-T nonendorectal coil MRI in patients with prostate cancer. Acad Radiol 2015; 22:467-74. [PMID: 25579637 DOI: 10.1016/j.acra.2014.11.007] [Citation(s) in RCA: 55] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2014] [Revised: 10/03/2014] [Accepted: 11/10/2014] [Indexed: 11/24/2022]
Abstract
RATIONALE AND OBJECTIVES To compare prostate morphology, image quality, and diagnostic performance of 1.5-T endorectal coil magnetic resonance (MR) imaging (MRI) and 3.0-T nonendorectal coil MRI in patients with prostate cancer. MATERIALS AND METHODS MR images obtained of 83 patients with prostate cancer using 1.5-T MRI systems with an endorectal coil were compared to images collected from 83 patients with a 3.0-T MRI system. Prostate diameters were measured, and image quality was evaluated by one American Board of Radiology (ABR)-certified radiologist (reader 1) and one ABR-certified diagnostic medical physicist (reader 2). The likelihood of the presence of peripheral zone cancer in each sextant and local extent was rated and compared to histopathologic findings. RESULTS Prostate anterior-posterior diameter measured by both readers was significantly shorter with 1.5-T endorectal MRI than with 3.0-T MRI. The overall image quality score difference was significant only for reader 1. Both readers found that the two MRI systems provided a similar diagnostic accuracy in cancer localization, extraprostatic extension, and seminal vesicle involvement. CONCLUSIONS Nonendorectal coil 3.0-T MRI provides prostate images that are natural in shape and that have comparable image quality to those obtained at 1.5 T with an endorectal coil, but not superior diagnostic performance. These findings suggest an opportunity exists for improving technical aspects of the 3.0-T prostate MRI.
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