1
|
Danacioglu YO, Turkay R, Yildiz O, Polat S, Arikan Y, Polat H, Yenice MG, Baytekin HF, Inci E, Tasci Aİ. A Critical Analysis of the Magnetic Resonance Imaging Lesion Diameter Threshold for Adverse Pathology Features. Prague Med Rep 2023; 124:40-51. [PMID: 36763830 DOI: 10.14712/23362936.2023.4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/12/2023] Open
Abstract
To investigate the relationship between lesion size determined using multiparametric magnetic resonance imaging (mpMRI) and histopathological findings of specimens obtained after mpMRI fusion biopsy and radical prostatectomy (RP). We retrospectively analysed 290 patients with PCa who underwent an MRI fusion biopsy. We measured the diameter of suspicious tumour lesions on diffusion-weighted mpMRI and stratified the cohort into two groups. Group A included patients with a suspicious tumour lesion 10 mm and Group B included those with a suspicious tumour lesion > 10 mm. In Group B, the PI-RADS score determined in mpMRI was higher than Group A, and there was a statistically significant difference between the two groups in terms of clinical T-stage. The PCa detection rate and the number of positive cores were statistically significantly higher in Group B than in Group A. In addition, there was a statistically significant difference between the two groups in relation to the biopsy, the International Society of Urological Pathology (ISUP) grade values, and the presence of clinically significant PCa. In Group B, pathological T-stage and extraprostatic extension (EPE) and surgical margin (SM) positivity were found to be higher among the patients who underwent RP. In the multivariate analysis, the mpMRI lesion size being > 10 mm was found to be an independent predictive factor for SM and EPE positivity. The clinical results of this study support the modification of the lesion size threshold as 10 mm for use in the differentiation of PI-RADS scores 4 and 5.
Collapse
Affiliation(s)
- Yavuz Onur Danacioglu
- Department of Urology, Bakirkoy Dr. Sadi Konuk Training and Research Hospital, Istanbul, Turkey.
| | - Rustu Turkay
- Department of Radiology, Haseki Training and Research Hospital, Istanbul, Turkey
| | - Omer Yildiz
- Department of Radiology, Bakirkoy Dr. Sadi Konuk Training and Research Hospital, Istanbul, Turkey
| | - Salih Polat
- Department of Urology, Amasya University, Amasya, Turkey
| | - Yusuf Arikan
- Department of Urology, Bakirkoy Dr. Sadi Konuk Training and Research Hospital, Istanbul, Turkey
| | - Hakan Polat
- Department of Urology, Bakirkoy Dr. Sadi Konuk Training and Research Hospital, Istanbul, Turkey
| | - Mustafa Gurkan Yenice
- Department of Urology, Bakirkoy Dr. Sadi Konuk Training and Research Hospital, Istanbul, Turkey
| | - Halil Firat Baytekin
- Department of Pathology, Bakirkoy Dr. Sadi Konuk Training and Research Hospital, Istanbul, Turkey
| | - Ercan Inci
- Department of Radiology, Bakirkoy Dr. Sadi Konuk Training and Research Hospital, Istanbul, Turkey
| | - Ali İhsan Tasci
- Department of Urology, Bakirkoy Dr. Sadi Konuk Training and Research Hospital, Istanbul, Turkey
| |
Collapse
|
2
|
Vince RA, Jiang R, Qi J, Tosoian JJ, Takele R, Feng FY, Linsell S, Johnson A, Shetty S, Hurley P, Miller DC, George A, Ghani K, Sun F, Seymore M, Dess RT, Jackson WC, Schipper M, Spratt DE, Morgan TM. Impact of Decipher Biopsy testing on clinical outcomes in localized prostate cancer in a prospective statewide collaborative. Prostate Cancer Prostatic Dis 2022; 25:677-683. [PMID: 34285350 PMCID: PMC8770695 DOI: 10.1038/s41391-021-00428-y] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Revised: 06/04/2021] [Accepted: 06/29/2021] [Indexed: 01/14/2023]
Abstract
BACKGROUND Decipher Biopsy is a commercially available gene expression classifier used in risk stratification of newly diagnosed prostate cancer (PCa). Currently, there are no prospective data evaluating its clinical utility. We seek to assess the clinical utility of Decipher Biopsy in localized PCa patients. METHODS A multi-institutional study of 855 men who underwent Decipher Biopsy testing between February 2015 and October 2019. All patients were tracked through the prospective Michigan Urological Surgery Improvement Collaborative and linked to the Decipher Genomics Resource Information Database (GRID®; NCT02609269). Patient matching was performed by an independent third-party (ArborMetrix Inc.) using two or more unique identifiers. Cumulative incidence curves for time to treatment (TTT) and time to failure (TTF) were constructed using Kaplan-Meier estimates. Multivariable Cox proportional hazard models were used to evaluate the independent association of high-risk Decipher scores with the conversion from AS to radical therapy and treatment failure (biochemical failure or receipt of salvage therapy). RESULTS AND LIMITATIONS Eight hundred fifty-five patients underwent Decipher Biopsy testing during the study period. Of the 855 men, 264 proceeded to AS (31%), and 454 (53%) received radical therapy. In men electing AS, after adjusting for NCCN risk group, age, PSA, prostate volume, body mass index, and percent positive cores, a high-risk Decipher score was independently associated with shorter TTT (HR 2.51, 95% CI 1.52-4.13 p < 0.001). Similarly, in patients that underwent radical therapy, a high-risk Decipher score was independently associated with TTF (HR 2.98, 95% CI 1.22-7.29, p = 0.01) on multivariable analysis. Follow-up time was a limitation. CONCLUSION In a prospective statewide registry, high-risk Decipher Biopsy score was strongly and independently associated with conversion from AS to definitive treatment and treatment failure. These real-world data support the clinical utility of Decipher Biopsy. An ongoing phase 3 randomized trial (NCT04396808) will provide level 1 evidence of the clinical impact of Decipher biopsy testing.
Collapse
Affiliation(s)
- Randy A. Vince
- Department of Urology, University of Michigan, Ann Arbor, Michigan 48109
| | - Ralph Jiang
- Department of Biostatics, University of Michigan, Ann Arbor, Michigan 48109
| | - Ji Qi
- Department of Urology, University of Michigan, Ann Arbor, Michigan 48109
| | - Jeffrey J. Tosoian
- Department of Urology, University of Michigan, Ann Arbor, Michigan 48109
| | - Rebecca Takele
- Edward Via College of Osteopathic Medicine, Blacksburg, VA 24060
| | - Felix Y. Feng
- Department of Radiation Oncology, University of California, San Francisco, San Francisco, California 94158
| | - Susan Linsell
- Department of Urology, University of Michigan, Ann Arbor, Michigan 48109
| | - Anna Johnson
- Department of Urology, University of Michigan, Ann Arbor, Michigan 48109
| | - Sughand Shetty
- Department of Urology, University of Michigan, Ann Arbor, Michigan 48109
| | - Patrick Hurley
- Department of Urology, University of Michigan, Ann Arbor, Michigan 48109
| | - David C. Miller
- Department of Urology, University of Michigan, Ann Arbor, Michigan 48109
| | - Arvin George
- Department of Urology, University of Michigan, Ann Arbor, Michigan 48109
| | - Khurshid Ghani
- Department of Urology, University of Michigan, Ann Arbor, Michigan 48109
| | - Fionna Sun
- Oakland University William Beaumont School of Medicine, Auburn Hills, Michigan 48309
| | - Mariana Seymore
- Department of Urology, University of Michigan, Ann Arbor, Michigan 48109
| | - Robert T Dess
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan 48109
| | - William C Jackson
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan 48109
| | - Matthew Schipper
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan 48109,Department of Biostatics, University of Michigan, Ann Arbor, Michigan 48109
| | - Daniel E. Spratt
- Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan 48109
| | - Todd M. Morgan
- Department of Urology, University of Michigan, Ann Arbor, Michigan 48109
| |
Collapse
|
3
|
Diffusion-Weighted MRI in the Genitourinary System. J Clin Med 2022; 11:jcm11071921. [PMID: 35407528 PMCID: PMC9000195 DOI: 10.3390/jcm11071921] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2022] [Revised: 03/25/2022] [Accepted: 03/28/2022] [Indexed: 12/12/2022] Open
Abstract
Diffusion weighted imaging (DWI) constitutes a major functional parameter performed in Magnetic Resonance Imaging (MRI). The DW sequence is performed by acquiring a set of native images described by their b-values, each b-value representing the strength of the diffusion MR gradients specific to that sequence. By fitting the data with models describing the motion of water in tissue, an apparent diffusion coefficient (ADC) map is built and allows the assessment of water mobility inside the tissue. The high cellularity of tumors restricts the water diffusion and decreases the value of ADC within tumors, which makes them appear hypointense on ADC maps. The role of this sequence now largely exceeds its first clinical apparitions in neuroimaging, whereby the method helped diagnose the early phases of cerebral ischemic stroke. The applications extend to whole-body imaging for both neoplastic and non-neoplastic diseases. This review emphasizes the integration of DWI in the genitourinary system imaging by outlining the sequence's usage in female pelvis, prostate, bladder, penis, testis and kidney MRI. In gynecologic imaging, DWI is an essential sequence for the characterization of cervix tumors and endometrial carcinomas, as well as to differentiate between leiomyosarcoma and benign leiomyoma of the uterus. In ovarian epithelial neoplasms, DWI provides key information for the characterization of solid components in heterogeneous complex ovarian masses. In prostate imaging, DWI became an essential part of multi-parametric Magnetic Resonance Imaging (mpMRI) to detect prostate cancer. The Prostate Imaging-Reporting and Data System (PI-RADS) scoring the probability of significant prostate tumors has significantly contributed to this success. Its contribution has established mpMRI as a mandatory examination for the planning of prostate biopsies and radical prostatectomy. Following a similar approach, DWI was included in multiparametric protocols for the bladder and the testis. In renal imaging, DWI is not able to robustly differentiate between malignant and benign renal tumors but may be helpful to characterize tumor subtypes, including clear-cell and non-clear-cell renal carcinomas or low-fat angiomyolipomas. One of the most promising developments of renal DWI is the estimation of renal fibrosis in chronic kidney disease (CKD) patients. In conclusion, DWI constitutes a major advancement in genitourinary imaging with a central role in decision algorithms in the female pelvis and prostate cancer, now allowing promising applications in renal imaging or in the bladder and testicular mpMRI.
Collapse
|
4
|
Boschheidgen M, Schimmöller L, Arsov C, Ziayee F, Morawitz J, Valentin B, Radke KL, Giessing M, Esposito I, Albers P, Antoch G, Ullrich T. MRI grading for the prediction of prostate cancer aggressiveness. Eur Radiol 2021; 32:2351-2359. [PMID: 34748064 PMCID: PMC8921105 DOI: 10.1007/s00330-021-08332-8] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Revised: 08/15/2021] [Accepted: 09/06/2021] [Indexed: 01/01/2023]
Abstract
OBJECTIVES T o evaluate the value of multiparametric MRI (mpMRI) for the prediction of prostate cancer (PCA) aggressiveness. METHODS In this single center cohort study, consecutive patients with histologically confirmed PCA were retrospectively enrolled. Four different ISUP grade groups (1, 2, 3, 4-5) were defined and fifty patients per group were included. Several clinical (age, PSA, PSAD, percentage of PCA infiltration) and mpMRI parameters (ADC value, signal increase on high b-value images, diameter, extraprostatic extension [EPE], cross-zonal growth) were evaluated and correlated within the four groups. Based on combined descriptors, MRI grading groups (mG1-mG3) were defined to predict PCA aggressiveness. RESULTS In total, 200 patients (mean age 68 years, median PSA value 8.1 ng/ml) were analyzed. Between the four groups, statistically significant differences could be shown for age, PSA, PSAD, and for MRI parameters cross-zonal growth, high b-value signal increase, EPE, and ADC (p < 0.01). All examined parameters revealed a significant correlation with the histopathologic biopsy ISUP grade groups (p < 0.01), except PCA diameter (p = 0.09). A mixed linear model demonstrated the strongest prediction of the respective ISUP grade group for the MRI grading system (p < 0.01) compared to single parameters. CONCLUSIONS MpMRI yields relevant pre-biopsy information about PCA aggressiveness. A combination of quantitative and qualitative parameters (MRI grading groups) provided the best prediction of the biopsy ISUP grade group and may improve clinical pathway and treatment planning, adding useful information beyond PI-RADS assessment category. Due to the high prevalence of higher grade PCA in patients within mG3, an early re-biopsy seems indicated in cases of negative or post-biopsy low-grade PCA. KEY POINTS • MpMRI yields relevant pre-biopsy information about prostate cancer aggressiveness. • MRI grading in addition to PI-RADS classification seems to be helpful for a size independent early prediction of clinically significant PCA. • MRI grading groups may help urologists in clinical pathway and treatment planning, especially when to consider an early re-biopsy.
Collapse
Affiliation(s)
- M Boschheidgen
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, Moorenstr. 5, 40225, Düsseldorf, Germany
| | - L Schimmöller
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, Moorenstr. 5, 40225, Düsseldorf, Germany.
| | - C Arsov
- Department of Urology, Medical Faculty, University Dusseldorf, 40225, Düsseldorf, Germany
| | - F Ziayee
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, Moorenstr. 5, 40225, Düsseldorf, Germany
| | - J Morawitz
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, Moorenstr. 5, 40225, Düsseldorf, Germany
| | - B Valentin
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, Moorenstr. 5, 40225, Düsseldorf, Germany
| | - K L Radke
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, Moorenstr. 5, 40225, Düsseldorf, Germany
| | - M Giessing
- Department of Urology, Medical Faculty, University Dusseldorf, 40225, Düsseldorf, Germany
| | - I Esposito
- Department of Pathology, Medical Faculty, University Dusseldorf, 40225, Düsseldorf, Germany
| | - P Albers
- Department of Urology, Medical Faculty, University Dusseldorf, 40225, Düsseldorf, Germany
| | - G Antoch
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, Moorenstr. 5, 40225, Düsseldorf, Germany
| | - T Ullrich
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, Moorenstr. 5, 40225, Düsseldorf, Germany
| |
Collapse
|
5
|
Abstract
PET/MR imaging is in routine clinical use and is at least as effective as PET/CT for oncologic and neurologic studies with advantages with certain PET radiopharmaceuticals and applications. In addition, whole body PET/MR imaging substantially reduces radiation dosages compared with PET/CT which is particularly relevant to pediatric and young adult population. For cancer imaging, assessment of hepatic, pelvic, and soft-tissue malignancies may benefit from PET/MR imaging. For neurologic imaging, volumetric brain MR imaging can detect regional volume loss relevant to cognitive impairment and epilepsy. In addition, the single-bed position acquisition enables dynamic brain PET imaging without extending the total study length which has the potential to enhance the diagnostic information from PET.
Collapse
Affiliation(s)
- Farshad Moradi
- Department of Radiology, Stanford University, 300 Pasteur Drive, H2200, Stanford, CA 94305, USA.
| | - Andrei Iagaru
- Department of Radiology, Stanford University, 300 Pasteur Drive, H2200, Stanford, CA 94305, USA
| | - Jonathan McConathy
- Department of Radiology, University of Alabama at Birmingham, 619 19th Street South, JT 773, Birmingham, AL 35249, USA
| |
Collapse
|
6
|
Moradi F, Farolfi A, Fanti S, Iagaru A. Prostate cancer: Molecular imaging and MRI. Eur J Radiol 2021; 143:109893. [PMID: 34391061 DOI: 10.1016/j.ejrad.2021.109893] [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: 09/16/2020] [Revised: 07/26/2021] [Accepted: 08/01/2021] [Indexed: 10/20/2022]
Abstract
The role of molecular imaging in initial evaluation of men with presumed or established diagnosis of prostate cancer and work up of biochemical recurrence and metastatic disease is rapidly evolving due to superior diagnostic performance compared to anatomic imaging. However, variable tumor biology and expression of transmembrane proteins or metabolic alterations poses a challenge. We review the evidence and controversies with emphasis on emerging PET radiopharmaceuticals and experience on clinical utility of PET/CT and PET/MRI in diagnosis and management of prostate cancer.
Collapse
Affiliation(s)
- Farshad Moradi
- Department of Radiology, Division of Nuclear Medicine and Molecular Imaging, Stanford University, Stanford, CA, USA.
| | - Andrea Farolfi
- Nuclear Medicine Division, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Stefano Fanti
- Nuclear Medicine Division, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Andrei Iagaru
- Department of Radiology, Division of Nuclear Medicine and Molecular Imaging, Stanford University, Stanford, CA, USA
| |
Collapse
|
7
|
Dhinagar NJ, Speier W, Sarma KV, Raman A, Kinnaird A, Raman SS, Marks LS, Arnold CW. Semi-automated PIRADS scoring via mpMRI analysis. J Med Imaging (Bellingham) 2020; 7:064501. [PMID: 33392358 DOI: 10.1117/1.jmi.7.6.064501] [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: 07/30/2020] [Accepted: 12/11/2020] [Indexed: 11/14/2022] Open
Abstract
Purpose: Prostate cancer (PCa) is the most common solid organ cancer and second leading cause of death in men. Multiparametric magnetic resonance imaging (mpMRI) enables detection of the most aggressive, clinically significant PCa (csPCa) tumors that require further treatment. A suspicious region of interest (ROI) detected on mpMRI is now assigned a Prostate Imaging-Reporting and Data System (PIRADS) score to standardize interpretation of mpMRI for PCa detection. However, there is significant inter-reader variability among radiologists in PIRADS score assignment and a minimal input semi-automated artificial intelligence (AI) system is proposed to harmonize PIRADS scores with mpMRI data. Approach: The proposed deep learning model (the seed point model) uses a simulated single-click seed point as input to annotate the lesion on mpMRI. This approach is in contrast to typical medical AI-based approaches that require annotation of the complete lesion. The mpMRI data from 617 patients used in this study were prospectively collected at a major tertiary U.S. medical center. The model was trained and validated to classify whether an mpMRI image had a lesion with a PIRADS score greater than or equal to PIRADS 4. Results: The model yielded an average receiver-operator characteristic (ROC) area under the curve (ROC-AUC) of 0.704 over a 10-fold cross-validation, which is significantly higher than the previously published benchmark. Conclusions: The proposed model could aid in PIRADS scoring of mpMRI, providing second reads to promote quality as well as offering expertise in environments that lack a radiologist with training in prostate mpMRI interpretation. The model could help identify tumors with a higher PIRADS for better clinical management and treatment of PCa patients at an early stage.
Collapse
Affiliation(s)
- Nikhil J Dhinagar
- University of California, Los Angeles, David Geffen School of Medicine, Department of Radiological Sciences, Los Angeles, California, United States
| | - William Speier
- University of California, Los Angeles, David Geffen School of Medicine, Department of Radiological Sciences, Los Angeles, California, United States
| | - Karthik V Sarma
- University of California, Los Angeles, David Geffen School of Medicine, Department of Radiological Sciences, Los Angeles, California, United States
| | - Alex Raman
- University of California, Los Angeles, David Geffen School of Medicine, Department of Radiological Sciences, Los Angeles, California, United States
| | - Adam Kinnaird
- University of California, Los Angeles, David Geffen School of Medicine, Department of Urology, Los Angeles, California, United States.,University of Alberta, Division of Urology, Department of Surgery, Edmonton, Alberta, Canada
| | - Steven S Raman
- University of California, Los Angeles, David Geffen School of Medicine, Department of Radiological Sciences, Los Angeles, California, United States
| | - Leonard S Marks
- University of California, Los Angeles, David Geffen School of Medicine, Department of Urology, Los Angeles, California, United States
| | - Corey W Arnold
- University of California, Los Angeles, David Geffen School of Medicine, Department of Radiological Sciences, Los Angeles, California, United States.,University of California, Los Angeles, David Geffen School of Medicine, Department of Pathology and Laboratory Medicine, Los Angeles, California, United States
| |
Collapse
|
8
|
Borkenhagen JF, Eastwood D, Kilari D, See WA, Van Wickle JD, Lawton CA, Hall WA. Digital Rectal Examination Remains a Key Prognostic Tool for Prostate Cancer: A National Cancer Database Review. J Natl Compr Canc Netw 2019; 17:829-837. [PMID: 31319388 DOI: 10.6004/jnccn.2018.7278] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2018] [Accepted: 01/28/2019] [Indexed: 11/17/2022]
Abstract
BACKGROUND Prostate cancer clinical stage T2 (cT2) subclassifications, as determined by digital rectal examination (DRE), are a historic method of staging prostate cancer. However, given the potential discomfort associated with prostate examination and the wide availability of other prognostic tests, the necessity of DRE is uncertain. This study sought to determine the prognostic value of the prostate cancer cT2 subclassifications in a contemporary cohort of patients. METHODS The National Cancer Database was used to identify a cohort of men with high-risk clinical T2N0M0 prostate cancer treated with external-beam radiotherapy and androgen deprivation therapies ± surgery from 2004 to 2010. We assessed overall survival from a landmark time of 10 months using Kaplan-Meier and log-rank test analysis. A multivariate proportional hazards model was used to estimate the simultaneous effects of multiple factors, including cT2 subclassification and other well-established prognostic indicators of overall survival in prostate cancer. RESULTS A total of 5,291 men were included in the final analysis, with a median follow-up of 5.4 years. The cT2a, cT2b, and cT2c subclassifications demonstrated increasing hazard ratios of 1.00 (reference), 1.25 (95% CI, 1.07-1.45; P=.0046), and 1.43 (95% CI, 1.25-1.63; P<.0001), respectively, reflecting a higher probability of death with each incremental increase in cT2 subclassification. This finding was independent of other known prognostic variables on multivariate analysis. CONCLUSIONS Results show that cT2 subclassifications had independent prognostic value in a large and contemporary cohort of men. cT2 classification remains an important, low-cost prognostic tool for men with prostatic adenocarcinoma. The clinical relevance of this test should be appreciated and accounted for by providers treating prostate adenocarcinoma.
Collapse
Affiliation(s)
| | | | | | - William A See
- Urology, Medical College of Wisconsin, Milwaukee, Wisconsin
| | | | | | | |
Collapse
|
9
|
Reproducibility of Index Lesion Size and Mean Apparent Diffusion Coefficient Values Measured by Prostate Multiparametric MRI: Correlation With Whole-Mount Sectioning of Specimens. AJR Am J Roentgenol 2018; 211:783-788. [DOI: 10.2214/ajr.17.19172] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
|
10
|
Rohrbach D, Wodlinger B, Wen J, Mamou J, Feleppa E. High-Frequency Quantitative Ultrasound for Imaging Prostate Cancer Using a Novel Micro-Ultrasound Scanner. ULTRASOUND IN MEDICINE & BIOLOGY 2018; 44:1341-1354. [PMID: 29627083 DOI: 10.1016/j.ultrasmedbio.2018.02.014] [Citation(s) in RCA: 43] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/14/2017] [Revised: 02/20/2018] [Accepted: 02/26/2018] [Indexed: 06/08/2023]
Abstract
Currently, biopsies guided by transrectal ultrasound (TRUS) are the only method for definitive diagnosis of prostate cancer. Studies by our group suggest that quantitative ultrasound (QUS) could provide a more sensitive means of targeting biopsies and directing focal treatments to cancer-suspicious regions in the prostate. Previous studies have utilized ultrasound signals at typical clinical frequencies, i.e., in the 6-MHz range. In the present study, a 29-MHz, TRUS, micro-ultrasound system and transducer (ExactVu micro-ultrasound, Exact Imaging, Markham, Canada) was used to acquire radio frequency data from 163 patients immediately before 12-core biopsy procedures, comprising 1956 cores. These retrospective data are a subset of data acquired in an ongoing, multisite, 2000-patient, randomized, clinical trial (clinicaltrials.gov NCT02079025). Spectrum-based QUS estimates of effective scatter diameter (ESD), effective acoustic concentration (EAC), midband (M), intercept (I) and slope (S) as well as envelope statistics employing a Nakagami distribution were used to train linear discriminant classifiers (LDCs) and support vector machines (SVMs). Classifier performance was assessed using area-under-the-curve (AUC) values obtained from receiver operating characteristic (ROC) analyses with 10-fold cross validation. A combination of ESD and EAC parameters resulted in an AUC value of 0.77 using a LDC. When Nakagami-µ or prostate-specific antigen (PSA) values were added as features, the AUC value increased to 0.79. SVM produced an AUC value of 0.77, using a combination of envelope and spectral QUS estimates. The best classification produced an AUC value of 0.81 using an LDC when combining envelope statistics, PSA, ESD and EAC. In a previous study, B-mode-based scoring and evaluation using the PRI-MUS protocol produced a maximal AUC value of 0.74 for higher Gleason-score values (GS >7) when read by an expert. Our initial results with AUC values of 0.81 are very encouraging for developing a new, predominantly user-independent, prostate-cancer, risk-assessing tool.
Collapse
Affiliation(s)
- Daniel Rohrbach
- Lizzi Center for Biomedical Engineering, Riverside Research, New York, NY 10038, USA.
| | | | | | - Jonathan Mamou
- Lizzi Center for Biomedical Engineering, Riverside Research, New York, NY 10038, USA
| | - Ernest Feleppa
- Lizzi Center for Biomedical Engineering, Riverside Research, New York, NY 10038, USA
| |
Collapse
|
11
|
Lee CH, Ku JY, Park WY, Lee NK, Ha HK. Comparison of the accuracy of multiparametric magnetic resonance imaging (mpMRI) results with the final pathology findings for radical prostatectomy specimens in the detection of prostate cancer. Asia Pac J Clin Oncol 2018; 15:e20-e27. [PMID: 29920966 DOI: 10.1111/ajco.13027] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2018] [Accepted: 05/19/2018] [Indexed: 01/21/2023]
Abstract
AIMS To assess the accuracy of multiparametric magnetic resonance imaging (mpMRI), used in conjunction with the Prostrate Imaging Reporting and Data System (PI-RADS), version 2, in the detection of prostate cancer (PCa), and to determine the extent of the efficacy of mpMRI as a screening test in biopsy-naïve patients. METHODS Retrospective analysis was conducted in 107 patients who underwent mpMRI prior to radical prostatectomy (RP) at a single institution. The mpMRI findings were reassessed using PI-RADS, version 2. A comparison was made between the histological findings for the RP specimens and the mpMRI results. RESULTS Unique histologically confirmed PCa foci (237) were identified in 107 patients. Overall, mpMRI sensitivity of 46% was found for PCa detection (110/237). The sensitivity, specificity and negative predictive value of mpMRI was 75.5%, 77.0% and 79.8%, respectively, for clinically significant cancer, and 75.7%, 77.7% and 79.5%, for pathological index tumors. A moderate and significant correlation was observed between a high PI-RADS score and a high pathological grade, tumor volume, index tumor status and clinically significant cancer status (all, P < 0.001, respectively). Pathological tumor volume was a significant predictor of PCa detection using mpMRI according to multivariate analysis. Using a cut-off value of 0.89 cc, the sensitivity and specificity of mpMRI for PCa detection were 0.87 and 0.65, respectively. CONCLUSION The mpMRI, used in conjunction with PI-RADS, was useful in detecting PCa and in predicting tumor aggressiveness. However, the detection of 20% of clinically significant cancer was missed using mpMRI. Thus, its inclusion in a triage test should be limited to selected biopsy-naïve patients.
Collapse
Affiliation(s)
- Chan Ho Lee
- Department of Urology, Inje University Busan Paik Hospital, Inje University College of Medicine, Busan, South Korea
| | - Ja Yoon Ku
- Department of Urology, Pusan National University Hospital, Pusan National University School of Medicine, Busan, South Korea
| | - Won Young Park
- Department of Pathology, Pusan National University Hospital, Pusan National University School of Medicine, Busan, South Korea
| | - Nam Kyung Lee
- Department of Radiology, Pusan National University Hospital, Pusan National University School of Medicine, Busan, South Korea
| | - Hong Koo Ha
- Department of Urology, Pusan National University Hospital, Pusan National University School of Medicine, Busan, South Korea.,Pusan National University School of Medicine, Biomedical Research Institute, Busan, South Korea
| |
Collapse
|
12
|
Kumar V, Bora GS, Kumar R, Jagannathan NR. Multiparametric (mp) MRI of prostate cancer. PROGRESS IN NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY 2018; 105:23-40. [PMID: 29548365 DOI: 10.1016/j.pnmrs.2018.01.001] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/07/2017] [Revised: 01/17/2018] [Accepted: 01/28/2018] [Indexed: 06/08/2023]
Abstract
Prostate cancer (PCa) is one of the most prevalent cancers in men. A large number of men are detected with PCa; however, the clinical behavior ranges from low-grade indolent tumors that never develop into a clinically significant disease to aggressive, invasive tumors that may rapidly progress to metastatic disease. The challenges in clinical management of PCa are at levels of screening, diagnosis, treatment, and follow-up after treatment. Magnetic resonance imaging (MRI) methods have shown a potential role in detection, localization, staging, assessment of aggressiveness, targeting biopsies, etc. in PCa patients. Multiparametric MRI (mpMRI) is emerging as a better option compared to the individual imaging methods used in the evaluation of PCa. There are attempts to improve the reproducibility and reliability of mpMRI by using an objective scoring system proposed in the prostate imaging reporting and data system (PIRADS) for standardized reporting. Prebiopsy mpMRI may be used to detect PCa in men with elevated prostate-specific antigen or abnormal digital rectal examination and to enable targeted biopsies. mpMRI can also be used to decide on clinical management of patients, for example active surveillance, and may help in detecting only the pathology that requires detection. It can potentially not only guide patient selection for initial and repeat biopsy but also reduce false-negative biopsies. This review presents a description of the MR methods most commonly applied for investigations of prostate. The anatomical, functional and metabolic parameters obtained from these MR methods are discussed with regard to their physical basis and their contribution to mpMRI investigations of PCa.
Collapse
Affiliation(s)
- Virendra Kumar
- Department of NMR & MRI Facility, All India Institute of Medical Sciences, Ansari Nagar, New Delhi 110029, India.
| | - Girdhar S Bora
- Department of Urology, Post-Graduate Institute of Medical Sciences, Chandigarh 160012, India
| | - Rajeev Kumar
- Department of Urology, All India Institute of Medical Sciences, Ansari Nagar, New Delhi 110029, India
| | - Naranamangalam R Jagannathan
- Department of NMR & MRI Facility, All India Institute of Medical Sciences, Ansari Nagar, New Delhi 110029, India.
| |
Collapse
|
13
|
Elkhoury FF, Simopoulos DN, Marks LS. MR-guided biopsy and focal therapy: new options for prostate cancer management. Curr Opin Urol 2018; 28:93-101. [PMID: 29232269 PMCID: PMC7314431 DOI: 10.1097/mou.0000000000000471] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
PURPOSE OF REVIEW Options for prostate cancer management are rapidly expanding. The recent advent of MRI technology has led to guided prostate biopsies by radiologists working in-bore or by urologists using MR/US fusion technology. The resulting tumor visualization now provides the option of focal therapy. Currently available are highly directed energies - focused ultrasound (HIFU), cryotherapy, and laser - all offering the hope of curing prostate cancer with few side effects. RECENT FINDINGS MRI now enables visualization of many prostate cancers. MR/US fusion biopsy makes possible the targeted biopsy of suspicious lesions efficiently in the urology clinic. Several fusion devices are now commercially available. Focal therapy, a derivative of targeted biopsy, is reshaping the approach to treatment of some prostate cancers. Focal laser ablation, originally done in the MRI gantry (in-bore), promises to soon become feasible in a clinic setting (out-of-bore) under local anesthesia. Other focal therapy options, including HIFU and cryotherapy, are currently available. Herein are summarized outcomes data on focal therapy modalities. SUMMARY MRI-guided biopsy is optimizing prostate cancer diagnosis. Focal therapy, an outgrowth of guided biopsy, promises to become a well tolerated and effective approach to treating many men with prostate cancer while minimizing the risks of incontinence and impotence from radical treatment.
Collapse
Affiliation(s)
- Fuad F. Elkhoury
- UCLA Department of Urology, David Geffen School of Medicine, Wasserman Bldg, Suite 331, UCLA Medical Plaza, Los Angeles, CA 90095, Phone: 310-794-8659, Fax: 310-794-8653
| | - Demetrios N. Simopoulos
- UCLA Department of Urology, David Geffen School of Medicine, Wasserman Bldg, Suite 331, UCLA Medical Plaza, Los Angeles, CA 90095, Phone: 310-794-8659, Fax: 310-794-8653
| | - Leonard S. Marks
- UCLA Department of Urology, David Geffen School of Medicine, Wasserman Bldg, Suite 331, UCLA Medical Plaza, Los Angeles, CA 90095, Phone: 310-794-8659, Fax: 310-794-8653
| |
Collapse
|
14
|
Miller ET, Salmasi A, Reiter RE. Anatomic and Molecular Imaging in Prostate Cancer. Cold Spring Harb Perspect Med 2018; 8:cshperspect.a030619. [PMID: 28710256 DOI: 10.1101/cshperspect.a030619] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
Prostate cancer is characterized by a complex set of heterogeneous disease states. This review aims to describe how imaging has been studied within each specific state. As physicians transition into an era of precision medicine, multiparametric magnetic resonance imaging (mpMRI) is proving to be a powerful tool leading the way for a paradigm shift in the diagnosis and management of localized prostate cancer. With further research and development, molecular imaging modalities will likely change the way we approach recurrent and metastatic disease. Given the range of possible oncological progression patterns, a thorough understanding of the underlying carcinogenesis, as it relates to imaging, is a requisite if we are to appropriately manage prostate cancer in future decades.
Collapse
Affiliation(s)
- Eric T Miller
- Department of Urology, David Geffen School of Medicine at UCLA, Los Angeles, California 90095
| | - Amirali Salmasi
- Department of Urology, David Geffen School of Medicine at UCLA, Los Angeles, California 90095
| | - Robert E Reiter
- Department of Urology, David Geffen School of Medicine at UCLA, Los Angeles, California 90095.,Jonsson Comprehensive Cancer Center, David Geffen School of Medicine at UCLA, Los Angeles, California 90095
| |
Collapse
|
15
|
Winoker JS, Anastos H, Rastinehad AR. Targeted Ablative Therapies for Prostate Cancer. Cancer Treat Res 2018; 175:15-53. [PMID: 30168116 DOI: 10.1007/978-3-319-93339-9_2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
Men diagnosed with low- to intermediate-risk, clinically localized prostate cancer (PCa) often face a daunting and difficult decision with respect to treatment: active surveillance (AS) or radical therapy. This decision is further confounded by the fact that many of these men diagnosed, by an elevated PSA, will have indolent disease and never require intervention. Radical treatments, including radical prostatectomy and whole-gland radiation, offer greater certainty for cancer control, but at the risk of significant urinary and/or sexual morbidity. Conversely, AS preserves genitourinary function and quality of life in exchange for burdensome surveillance and the psychological impact of living with cancer.
Collapse
Affiliation(s)
- Jared S Winoker
- Department of Urology, Icahn School of Medicine at Mount Sinai, New York, USA
| | - Harry Anastos
- Department of Urology, Icahn School of Medicine at Mount Sinai, New York, USA
| | - Ardeshir R Rastinehad
- Department of Urology, Icahn School of Medicine at Mount Sinai, New York, USA. .,Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, USA.
| |
Collapse
|
16
|
Kane CJ, Eggener SE, Shindel AW, Andriole GL. Variability in Outcomes for Patients with Intermediate-risk Prostate Cancer (Gleason Score 7, International Society of Urological Pathology Gleason Group 2-3) and Implications for Risk Stratification: A Systematic Review. Eur Urol Focus 2017; 3:487-497. [PMID: 28753804 DOI: 10.1016/j.euf.2016.10.010] [Citation(s) in RCA: 43] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2016] [Revised: 10/03/2016] [Accepted: 10/18/2016] [Indexed: 12/22/2022]
Abstract
CONTEXT Optimal management for patients with intermediate-risk (IR) prostate cancer (PCa) remains controversial. Clinical metrics provide guidance on appropriate management options. OBJECTIVE To report estimates for clinically relevant outcomes in men with IR PCa based on clinical and pathological features. EVIDENCE ACQUISITION PubMed and programs from key 2015 uro-oncology congresses were searched using the terms "intermediate", "Gleason 3 + 4", "Gleason 4 + 3", "active surveillance", "treatment", "adverse pathology", AND "prostate cancer." Articles meeting prespecified criteria were retrieved. Bibliographies were scanned for additional relevant references. EVIDENCE SYNTHESIS Men with IR PCa have a wide range of predicted clinically relevant outcomes. Within the IR category, estimate ranges for adverse surgical pathology and 5-yr disease progression are 15-64% and 21-91%, respectively. Clinical parameters and predictive nomograms refine these estimates, but do not uniformly differentiate favorable and unfavorable IR PCa. Variations in study design and data quality in source manuscripts mandate caution in interpreting results. CONCLUSIONS Outcomes in IR PCa are heterogeneous. Refinements in personalized risk assessment are needed to better select IR PCa patients for surveillance. PATIENT SUMMARY Current and future risk stratification tools may provide additional information to identify men with intermediate-risk prostate cancer who may consider active surveillance.
Collapse
Affiliation(s)
- Christopher J Kane
- Department of Urology, University of California San Diego Health System, San Diego, CA, USA.
| | - Scott E Eggener
- Department of Urology, University of Chicago, Chicago, IL, USA
| | | | - Gerald L Andriole
- Division of Urologic Surgery, Department of Surgery, Washington University School of Medicine, St. Louis, MO, USA
| |
Collapse
|
17
|
Schulman AA, Sze C, Tsivian E, Gupta RT, Moul JW, Polascik TJ. The Contemporary Role of Multiparametric Magnetic Resonance Imaging in Active Surveillance for Prostate Cancer. Curr Urol Rep 2017; 18:52. [DOI: 10.1007/s11934-017-0699-2] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
|
18
|
Meng X, Rosenkrantz AB, Taneja SS. Role of prostate magnetic resonance imaging in active surveillance. Transl Androl Urol 2017; 6:444-452. [PMID: 28725586 PMCID: PMC5503957 DOI: 10.21037/tau.2017.05.05] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
Active surveillance (AS) has emerged as a beneficial strategy for management of low risk prostate cancer (PCa) and prevention of overtreatment of indolent disease. However, selection of patients for AS using traditional 12-core transrectal prostate biopsy is prone to sampling error and presents a challenge for accurate risk stratification. In fact, around a third of men are upgraded on repeat biopsy which disqualifies them as appropriate AS candidates. This uncertainty affects adoption of AS among patients and physicians, leading to current AS protocols involving repetitive prostate biopsies and unclear triggers for progression to definitive treatment. Prostate magnetic resonance imaging (MRI) has the potential to overcome some of these limitations through localization of significant tumors in the prostate. In conjunction with MRI-targeted prostate biopsy, improved sampling and detection of clinically significant PCa can help streamline the process of selecting suitable men for AS and early exclusion of men who require definitive treatment. MRI can also help minimize the invasive nature of monitoring for disease progression while on AS. Men with stable MRI findings have high negative predictive value for Gleason upgrade on subsequently biopsy, suggesting that men may potentially be monitored by serial MRI examinations with biopsy reserved for significant changes on imaging. Targeted biopsy on AS also allows for specific sampling of concerning lesions, although further data is necessary to evaluate the relative contribution of systematic and targeted biopsy in detecting the 25-30% of men who progress on AS. Further research is also warranted to better understand the nature of clinically significant cancers that are missed on MRI and why certain men have progression of disease that is not visible on prostate MRI. Consensus is also needed over what constitutes progression on MRI, when prostate biopsy can be safely avoided, and how to best utilize this additional information in current AS protocols. Despite these challenges, prostate MRI, either alone or in conjunction with MRI-targeted prostate biopsy, has the potential to significantly improve our current AS paradigm and rates of AS adoption among patients moving forward.
Collapse
Affiliation(s)
- Xiaosong Meng
- Department of Urology, NYU Langone Medical Center, New York, NY 10016, USA
| | | | - Samir S Taneja
- Department of Urology, NYU Langone Medical Center, New York, NY 10016, USA.,Department of Radiology, NYU Langone Medical Center, New York, NY 10016, USA
| |
Collapse
|
19
|
Multiparametric magnetic resonance imaging of the prostate with computer-aided detection: experienced observer performance study. Eur Radiol 2017; 27:4200-4208. [PMID: 28386721 DOI: 10.1007/s00330-017-4805-0] [Citation(s) in RCA: 42] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2016] [Revised: 02/14/2017] [Accepted: 03/13/2017] [Indexed: 10/19/2022]
Abstract
OBJECTIVES To compare the performance of experienced readers in detecting prostate cancer (PCa) using likelihood maps generated by a CAD system with that of unassisted interpretation of multiparametric magnetic resonance imaging (mp-MRI). METHODS Three experienced radiologists reviewed mp-MRI prostate cases twice. First, readers observed CAD marks on a likelihood map and classified as positive those suspicious for cancer. After 6 weeks, radiologists interpreted mp-MRI examinations unassisted, using their favourite protocol. Sensitivity, specificity, reading time and interobserver variability were compared for the two reading paradigms. RESULTS The dataset comprised 89 subjects of whom 35 with at least one significant PCa. Sensitivity was 80.9% (95% CI 72.1-88.0%) and 87.6% (95% CI 79.8-93.2; p = 0.105) for unassisted and CAD paradigm respectively. Sensitivity was higher with CAD for lesions with GS > 6 (91.3% vs 81.2%; p = 0.046) or diameter ≥10 mm (95.0% vs 80.0%; p = 0.006). Specificity was not affected by CAD. The average reading time with CAD was significantly lower (220 s vs 60 s; p < 0.001). CONCLUSIONS Experienced readers using likelihood maps generated by a CAD scheme can detect more patients with ≥10 mm PCa lesions than unassisted MRI interpretation; overall reporting time is shorter. To gain more insight into CAD-human interaction, different reading paradigms should be investigated. KEY POINTS • With CAD, sensitivity increases in patients with prostate tumours ≥10 mm and/or GS > 6. • CAD significantly reduces reporting time of multiparametric MRI. • When using CAD, a marginal increase of inter-reader agreement was observed.
Collapse
|
20
|
|
21
|
Muthigi A, George AK, Sidana A, Kongnyuy M, Simon R, Moreno V, Merino MJ, Choyke PL, Turkbey B, Wood BJ, Pinto PA. Missing the Mark: Prostate Cancer Upgrading by Systematic Biopsy over Magnetic Resonance Imaging/Transrectal Ultrasound Fusion Biopsy. J Urol 2016; 197:327-334. [PMID: 27582434 DOI: 10.1016/j.juro.2016.08.097] [Citation(s) in RCA: 75] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/19/2016] [Indexed: 12/21/2022]
Abstract
PURPOSE Multiparametric magnetic resonance imaging and fusion biopsy detect more high risk prostate cancer and less low risk prostate cancer than systematic biopsy. However, there remains a small subset of patients in whom systematic biopsy captures higher grade disease than fusion biopsy. We sought to identify potential mechanisms of the failure of fusion biopsy in the detection of clinically significant prostate cancer. MATERIALS AND METHODS We reviewed a prospectively maintained database of patients who underwent multiparametric magnetic resonance imaging followed by fusion biopsy and systematic biopsy from 2007 to 2014. In patients in whom disease was upgraded to clinically significant disease (Gleason 7 or greater) by systematic biopsy over fusion biopsy, independent re-review of magnetic resonance imaging, archived biopsy imaging and whole mount pathology as well as needle coordinate mapping were performed. Multivariate logistic regression analysis was done to determine predictors of upgrading by systematic biopsy. RESULTS Disease was upgraded based on systematic biopsy over fusion biopsy in 135 of 1,003 patients (13.5%), of whom only 62 (6.2%) were upgraded to intermediate (Gleason 7) and high risk (Gleason 8 or greater) prostate cancer (51 or 5.1% and 11 or 1.1%, respectively). On multivariate analysis lower prostate specific antigen (p <0.001), higher magnetic resonance imaging prostate volume (p <0.001) and a lower number of target cores (p = 0.001) were predictors of upgrading by systematic biopsy. Main mechanisms of under grading by fusion biopsy included multiparametric magnetic resonance imaging reader oversight, presence of magnetic resonance imaging invisible cancer, fusion biopsy technique error and intralesion Gleason heterogeneity. CONCLUSIONS Magnetic resonance imaging and fusion biopsy rarely missed clinically significant prostate cancer as only 62 of 1,003 cases (6.2%) were upgraded to clinically significant disease by systematic biopsy. Imaging and biopsy techniques are continually refined. Further studies will help clarify mechanisms of fusion biopsy failure and the patient populations that benefit from systematic biopsy in addition to fusion biopsy.
Collapse
Affiliation(s)
- Akhil Muthigi
- Urologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Arvin K George
- Department of Urology, University of Michigan, Ann Arbor, Michigan
| | - Abhinav Sidana
- Urologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Michael Kongnyuy
- Urologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Richard Simon
- Biometric Research Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD
| | - Vanessa Moreno
- Laboratory of Pathology, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Maria J Merino
- Laboratory of Pathology, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Peter L Choyke
- Molecular Imaging Program, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Baris Turkbey
- Molecular Imaging Program, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Bradford J Wood
- Center for Interventional Oncology, National Cancer Institute & Clinical Center, National Institutes of Health, Bethesda, Maryland
| | - Peter A Pinto
- Urologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| |
Collapse
|
22
|
Brunsing RL, Schenker-Ahmed NM, White NS, Parsons JK, Kane C, Kuperman J, Bartsch H, Kader AK, Rakow-Penner R, Seibert TM, Margolis D, Raman SS, McDonald CR, Farid N, Kesari S, Hansel D, Shabaik A, Dale AM, Karow DS. Restriction spectrum imaging: An evolving imaging biomarker in prostate MRI. J Magn Reson Imaging 2016; 45:323-336. [PMID: 27527500 DOI: 10.1002/jmri.25419] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2016] [Accepted: 07/25/2016] [Indexed: 12/28/2022] Open
Abstract
Restriction spectrum imaging (RSI) is a novel diffusion-weighted MRI technique that uses the mathematically distinct behavior of water diffusion in separable microscopic tissue compartments to highlight key aspects of the tissue microarchitecture with high conspicuity. RSI can be acquired in less than 5 min on modern scanners using a surface coil. Multiple field gradients and high b-values in combination with postprocessing techniques allow the simultaneous resolution of length-scale and geometric information, as well as compartmental and nuclear volume fraction filtering. RSI also uses a distortion correction technique and can thus be fused to high resolution T2-weighted images for detailed localization, which improves delineation of disease extension into critical anatomic structures. In this review, we discuss the acquisition, postprocessing, and interpretation of RSI for prostate MRI. We also summarize existing data demonstrating the applicability of RSI for prostate cancer detection, in vivo characterization, localization, and targeting. LEVEL OF EVIDENCE 5 J. Magn. Reson. Imaging 2017;45:323-336.
Collapse
Affiliation(s)
- Ryan L Brunsing
- Department of Radiology, University of California San Diego, San Diego, California, USA
| | | | - Nathan S White
- Department of Radiology, University of California San Diego, San Diego, California, USA
| | - J Kellogg Parsons
- Department of Surgery, University of California San Diego, San Diego, California, USA
| | - Christopher Kane
- Department of Surgery, University of California San Diego, San Diego, California, USA
| | - Joshua Kuperman
- Department of Radiology, University of California San Diego, San Diego, California, USA
| | - Hauke Bartsch
- Department of Radiology, University of California San Diego, San Diego, California, USA
| | - Andrew Karim Kader
- Department of Surgery, University of California San Diego, San Diego, California, USA
| | - Rebecca Rakow-Penner
- Department of Radiology, University of California San Diego, San Diego, California, USA
| | - Tyler M Seibert
- Department of Radiation Medicine, University of California San Diego, San Diego, California, USA
| | - Daniel Margolis
- Department of Radiology, University of California Los Angeles, Los Angeles, California, USA
| | - Steven S Raman
- Department of Radiology, University of California Los Angeles, Los Angeles, California, USA
| | - Carrie R McDonald
- Department of Psychiatry, University of California San Diego, La Jolla, California, USA
| | - Nikdokht Farid
- Department of Radiology, University of California San Diego, San Diego, California, USA
| | - Santosh Kesari
- Department of Translational Neuro-Oncology and Neurotherapeutics, Pacific Neuroscience Institute and John Wayne Cancer Institute at Providence Saint John's Health Center, Los Angeles, California, USA
| | - Donna Hansel
- Department of Pathology, University of California San Diego, San Diego, California, USA
| | - Ahmed Shabaik
- Department of Pathology, University of California San Diego, San Diego, California, USA
| | - Anders M Dale
- Department of Radiology, University of California San Diego, San Diego, California, USA.,Department of Neurosciences, University of California San Diego, La Jolla, California, USA
| | - David S Karow
- Department of Radiology, University of California San Diego, San Diego, California, USA
| |
Collapse
|