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Wang H, Xia Z, Xu Y, Sun J, Wu J. The predictive value of machine learning and nomograms for lymph node metastasis of prostate cancer: a systematic review and meta-analysis. Prostate Cancer Prostatic Dis 2023; 26:602-613. [PMID: 37488275 DOI: 10.1038/s41391-023-00704-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 07/10/2023] [Accepted: 07/17/2023] [Indexed: 07/26/2023]
Abstract
BACKGROUND In clinical practice, there are currently a variety of nomograms for predicting lymph node metastasis (LNM) of prostate cancer. At the same time, some scholars have introduced machine learning (ML) into the prediction of LNM of prostate cancer. However, the predictive value of nomograms and ML remains controversial. Based on this situation, this systematic review and meta-analysis was performed to explore the predictive value of various nomograms currently recommended and newly-developed ML models for LNM in prostate cancer patients. EVIDENCE ACQUISITION Cochrane, PubMed, Embase, and Web of Science were searched up to November 1, 2022. The risk of bias in the included studies was evaluated using the Prediction model Risk of Bias Assessment Tool (PROBAST). The concordance index (C-index), sensitivity, and specificity were adopted to evaluate the predictive accuracy of the models. RESULTS Thirty-one studies (18,803 patients) were included. Seven kinds of nomograms currently recommended, dominated by Briganti nomogram or MSKCC nomogram, were covered in the included studies. For newly-developed ML models, the C-index for LNM prediction in the training set and validation set was 0.846 [95%CI (0.818, 0.873)] and 0.862 [95%CI (0.819-0.905)] respectively. Most ML models in the training set were based on Logistic Regression (LR), which had a sensitivity of 0.78 [95%CI (0.70, 0.85)] and a specificity of 0.85 [95%CI (0.77, 0.90)] in the training set, and a sensitivity of 0.81 [95%CI (0.67, 0.89)] and a specificity of 0.82 [95%CI (0.75, 0.88)] in the validation set. For the recommended nomograms, the C-index in the validation set was 0.745 [95%CI (0.701, 0.790)] for the Briganti nomogram and 0.714 [95%CI (0.662, 0.765)] for the MSKCC nomogram. CONCLUSION The predictive accuracy of ML is superior to existing clinically recommended nomograms, and appropriate updates can be conducted to existing nomograms according to special situations.
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Affiliation(s)
- Hao Wang
- Department of Urology, Nanchong Central Hospital, The Second Clinical College, North Sichuan Medical College (University), Nanchong, 637000, Sichuan, China
| | - Zhongyou Xia
- Department of Urology, Nanchong Central Hospital, The Second Clinical College, North Sichuan Medical College (University), Nanchong, 637000, Sichuan, China
| | - Yulai Xu
- Department of Urology, Nanchong Central Hospital, The Second Clinical College, North Sichuan Medical College (University), Nanchong, 637000, Sichuan, China
| | - Jing Sun
- Department of Urology, Nanchong Central Hospital, The Second Clinical College, North Sichuan Medical College (University), Nanchong, 637000, Sichuan, China
| | - Ji Wu
- Department of Urology, Nanchong Central Hospital, The Second Clinical College, North Sichuan Medical College (University), Nanchong, 637000, Sichuan, China.
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Ueda T, Ohno Y, Yamamoto K, Murayama K, Ikedo M, Yui M, Hanamatsu S, Tanaka Y, Obama Y, Ikeda H, Toyama H. Deep Learning Reconstruction of Diffusion-weighted MRI Improves Image Quality for Prostatic Imaging. Radiology 2022; 303:373-381. [PMID: 35103536 DOI: 10.1148/radiol.204097] [Citation(s) in RCA: 54] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Background Deep learning reconstruction (DLR) may improve image quality. However, its impact on diffusion-weighted imaging (DWI) of the prostate has yet to be assessed. Purpose To determine whether DLR can improve image quality of diffusion-weighted MRI at b values ranging from 1000 sec/mm2 to 5000 sec/mm2 in patients with prostate cancer. Materials and Methods In this retrospective study, images of the prostate obtained at DWI with a b value of 0 sec/mm2, DWI with a b value of 1000 sec/mm2 (DWI1000), DWI with a b value of 3000 sec/mm2 (DWI3000), and DWI with a b value of 5000 sec/mm2 (DWI5000) from consecutive patients with biopsy-proven cancer from January to June 2020 were reconstructed with and without DLR. Image quality was assessed using signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) from region-of-interest analysis and qualitatively assessed using a five-point visual scoring system (1 [very poor] to 5 [excellent]) for each high-b-value DWI sequence with and without DLR. The SNR, CNR, and visual score for DWI with and without DLR were compared with the paired t test and the Wilcoxon signed rank test with Bonferroni correction, respectively. Apparent diffusion coefficients (ADCs) from DWI with and without DLR were also compared with the paired t test with Bonferroni correction. Results A total of 60 patients (mean age, 67 years; age range, 49-79 years) were analyzed. DWI with DLR showed significantly higher SNRs and CNRs than DWI without DLR (P < .001); for example, with DWI1000 the mean SNR was 38.7 ± 0.6 versus 17.8 ± 0.6, respectively (P < .001), and the mean CNR was 18.4 ± 5.6 versus 7.4 ± 5.6, respectively (P < .001). DWI with DLR also demonstrated higher qualitative image quality than DWI without DLR (mean score: 4.8 ± 0.4 vs 4.0 ± 0.7, respectively, with DWI1000 [P = .001], 3.8 ± 0.7 vs 3.0 ± 0.8 with DWI3000 [P = .002], and 3.1 ± 0.8 vs 2.0 ± 0.9 with DWI5000 [P < .001]). ADCs derived with and without DLR did not differ substantially (P > .99). Conclusion Deep learning reconstruction improves the image quality of diffusion-weighted MRI scans of prostate cancer with no impact on apparent diffusion coefficient quantitation with a 3.0-T MRI system. © RSNA, 2022 Online supplemental material is available for this article. See also the editorial by Turkbey in this issue.
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Affiliation(s)
- Takahiro Ueda
- From the Department of Radiology (T.U., Y. Ohno, S.H., Y.T., Y. Obama, H.I., H.T.) and Joint Research Laboratory of Advanced Medical Imaging (Y. Ohno, K.M.), Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake 470-1192, Japan; and Canon Medical Systems Corporation, Otawara, Japan (K.Y., M.I., M.Y.)
| | - Yoshiharu Ohno
- From the Department of Radiology (T.U., Y. Ohno, S.H., Y.T., Y. Obama, H.I., H.T.) and Joint Research Laboratory of Advanced Medical Imaging (Y. Ohno, K.M.), Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake 470-1192, Japan; and Canon Medical Systems Corporation, Otawara, Japan (K.Y., M.I., M.Y.)
| | - Kaori Yamamoto
- From the Department of Radiology (T.U., Y. Ohno, S.H., Y.T., Y. Obama, H.I., H.T.) and Joint Research Laboratory of Advanced Medical Imaging (Y. Ohno, K.M.), Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake 470-1192, Japan; and Canon Medical Systems Corporation, Otawara, Japan (K.Y., M.I., M.Y.)
| | - Kazuhiro Murayama
- From the Department of Radiology (T.U., Y. Ohno, S.H., Y.T., Y. Obama, H.I., H.T.) and Joint Research Laboratory of Advanced Medical Imaging (Y. Ohno, K.M.), Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake 470-1192, Japan; and Canon Medical Systems Corporation, Otawara, Japan (K.Y., M.I., M.Y.)
| | - Masato Ikedo
- From the Department of Radiology (T.U., Y. Ohno, S.H., Y.T., Y. Obama, H.I., H.T.) and Joint Research Laboratory of Advanced Medical Imaging (Y. Ohno, K.M.), Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake 470-1192, Japan; and Canon Medical Systems Corporation, Otawara, Japan (K.Y., M.I., M.Y.)
| | - Masao Yui
- From the Department of Radiology (T.U., Y. Ohno, S.H., Y.T., Y. Obama, H.I., H.T.) and Joint Research Laboratory of Advanced Medical Imaging (Y. Ohno, K.M.), Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake 470-1192, Japan; and Canon Medical Systems Corporation, Otawara, Japan (K.Y., M.I., M.Y.)
| | - Satomu Hanamatsu
- From the Department of Radiology (T.U., Y. Ohno, S.H., Y.T., Y. Obama, H.I., H.T.) and Joint Research Laboratory of Advanced Medical Imaging (Y. Ohno, K.M.), Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake 470-1192, Japan; and Canon Medical Systems Corporation, Otawara, Japan (K.Y., M.I., M.Y.)
| | - Yumi Tanaka
- From the Department of Radiology (T.U., Y. Ohno, S.H., Y.T., Y. Obama, H.I., H.T.) and Joint Research Laboratory of Advanced Medical Imaging (Y. Ohno, K.M.), Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake 470-1192, Japan; and Canon Medical Systems Corporation, Otawara, Japan (K.Y., M.I., M.Y.)
| | - Yuki Obama
- From the Department of Radiology (T.U., Y. Ohno, S.H., Y.T., Y. Obama, H.I., H.T.) and Joint Research Laboratory of Advanced Medical Imaging (Y. Ohno, K.M.), Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake 470-1192, Japan; and Canon Medical Systems Corporation, Otawara, Japan (K.Y., M.I., M.Y.)
| | - Hirotaka Ikeda
- From the Department of Radiology (T.U., Y. Ohno, S.H., Y.T., Y. Obama, H.I., H.T.) and Joint Research Laboratory of Advanced Medical Imaging (Y. Ohno, K.M.), Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake 470-1192, Japan; and Canon Medical Systems Corporation, Otawara, Japan (K.Y., M.I., M.Y.)
| | - Hiroshi Toyama
- From the Department of Radiology (T.U., Y. Ohno, S.H., Y.T., Y. Obama, H.I., H.T.) and Joint Research Laboratory of Advanced Medical Imaging (Y. Ohno, K.M.), Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake 470-1192, Japan; and Canon Medical Systems Corporation, Otawara, Japan (K.Y., M.I., M.Y.)
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3
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Hsieh PF, Li TR, Lin WC, Chang H, Huang CP, Chang CH, Yang CR, Yeh CC, Huang WC, Wu HC. Combining prostate health index and multiparametric magnetic resonance imaging in estimating the histological diameter of prostate cancer. BMC Urol 2021; 21:161. [PMID: 34801024 PMCID: PMC8606059 DOI: 10.1186/s12894-021-00928-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Accepted: 11/08/2021] [Indexed: 12/05/2022] Open
Abstract
BACKGROUND Although multiparametric magnetic resonance imaging (mpMRI) is widely used to assess the volume of prostate cancer, it often underestimates the histological tumor boundary. The aim of this study was to evaluate the feasibility of combining prostate health index (PHI) and mpMRI to estimate the histological tumor diameter and determine the safety margin during treatment of prostate cancer. METHODS We retrospectively enrolled 72 prostate cancer patients who underwent radical prostatectomy and had received PHI tests and mpMRI before surgery. We compared the discrepancy between histological and radiological tumor diameter stratified by Prostate Imaging-Reporting and Data System (PI-RADS) score, and then assessed the influence of PHI on the discrepancy between low PI-RADS (2 or 3) and high PI-RADS (4 or 5) groups. RESULTS The mean radiological and histological tumor diameters were 1.60 cm and 2.13 cm, respectively. The median discrepancy between radiological and histological tumor diameter of PI-RADS 4 or 5 lesions was significantly greater than that of PI-RADS 2 or 3 lesions (0.50 cm, IQR (0.00-0.90) vs. 0.00 cm, IQR (-0.10-0.20), p = 0.02). In the low PI-RADS group, the upper limit of the discrepancy was 0.2 cm; so the safety margin could be set at 0.1 cm. In the high PI-RADS group, the upper limits of the discrepancy were 1.2, 1.6, and 2.2 cm in men with PHI < 30, 30-60, and > 60; so the safety margin could be set at 0.6, 0.8, and 1.1 cm, respectively. CONCLUSIONS Radiological tumor diameter on mpMRI often underestimated the histological tumor diameter, especially for PI-RADS 4 or 5 lesions. Combining mpMRI and PHI may help to better estimate the histological tumor diameter.
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Affiliation(s)
- Po-Fan Hsieh
- Department of Urology, China Medical University Hospital, No. 2, Yu-Der Rd, Taichung, 40447, Taiwan
- School of Medicine, China Medical University, Taichung, 40402, Taiwan
- Graduate Institute of Biomedical Sciences, School of Medicine, China Medical University, Taichung, 40402, Taiwan
| | - Tzung-Ruei Li
- Department of Urology, China Medical University Hospital, No. 2, Yu-Der Rd, Taichung, 40447, Taiwan
| | - Wei-Ching Lin
- School of Medicine, China Medical University, Taichung, 40402, Taiwan
- Department of Radiology, China Medical University Hospital, Taichung, 40447, Taiwan
| | - Han Chang
- Department of Pathology, China Medical University Hospital, Taichung, 40447, Taiwan
| | - Chi-Ping Huang
- Department of Urology, China Medical University Hospital, No. 2, Yu-Der Rd, Taichung, 40447, Taiwan
- School of Medicine, China Medical University, Taichung, 40402, Taiwan
| | - Chao-Hsiang Chang
- Department of Urology, China Medical University Hospital, No. 2, Yu-Der Rd, Taichung, 40447, Taiwan
| | - Chi-Rei Yang
- Department of Urology, China Medical University Hospital, No. 2, Yu-Der Rd, Taichung, 40447, Taiwan
| | - Chin-Chung Yeh
- Department of Urology, China Medical University Hospital, No. 2, Yu-Der Rd, Taichung, 40447, Taiwan
| | - Wen-Chin Huang
- Graduate Institute of Biomedical Sciences, School of Medicine, China Medical University, Taichung, 40402, Taiwan
| | - Hsi-Chin Wu
- Department of Urology, China Medical University Hospital, No. 2, Yu-Der Rd, Taichung, 40447, Taiwan.
- School of Medicine, China Medical University, Taichung, 40402, Taiwan.
- Department of Urology, China Medical University Beigang Hospital, Beigang, Yunlin, 651012, Taiwan.
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4
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Martell K, Roy S, Meyer T, Stosky J, Jiang W, Thind K, Roumeliotis M, Bosch J, Angyalfi S, Quon H, Husain S. Analysis of outcomes after non-contour-based dose painting of dominant intra-epithelial lesion in intra-operative low-dose rate brachytherapy. Heliyon 2020; 6:e04092. [PMID: 32548323 PMCID: PMC7286970 DOI: 10.1016/j.heliyon.2020.e04092] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2020] [Revised: 05/20/2020] [Accepted: 05/26/2020] [Indexed: 11/27/2022] Open
Abstract
Purpose To compare the outcomes of patients with intermediate risk prostate cancer (IR-PCa) treated with low-dose rate I-125 seed brachytherapy (LDR-BT) and targeted dose painting of a histologic dominant intra-epithelial lesion (DIL) to those without a DIL. Methods 455 patients with IR-PCa were treated at a single center with intra-operatively planned LDR-BT, each following the same in-house dose constraints. Patients with a DIL on pathology had hot spots localized to that region but no specific contouring during the procedure. Results 396 (87%) patients had a DIL. Baseline tumor characteristics and overall prostate dosimetry were similar between patients with and without DIL except the median number of biopsy cores taken: 10 (10–12) vs 12 (10–12) (p = 0.002). 19 (5%) and 18 (5%) of patients with and 1 (2%) and 0 (0%) of those without DIL experienced CTCAE grade 2 and 3 toxicity respectively. Overall, toxicity grade did not significantly correlate with presence of DIL (p = 0.10). Estimated 7-year freedom from biochemical failure (FFBF) was 84% (95% confidence interval: 79–89) and 70% (54–89) in patients with and without a DIL (log-rank p = 0.315). In DIL patients, cox regression revealed location of DIL (“Base” vs “Apex” HR: 1.03; 1.00–1.06; p = 0.03) and older age (70 vs 60 HR: 1.62; 1.06–2.49; p = 0.03) was associated with poor FFBF. Conclusions Targeting DIL through dose painting during intraoperatively planned LDR-BT provided no statistically significant change in FFBF. Patients with DILs in the prostate base had slightly lower FFBF despite DIL boost.
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Affiliation(s)
- Kevin Martell
- University of Calgary, Department of Oncology, Calgary, AB, Canada.,Alberta Health Services, Calgary Zone, Calgary, AB, Canada
| | - Soumyajit Roy
- University of Calgary, Department of Oncology, Calgary, AB, Canada.,Alberta Health Services, Calgary Zone, Calgary, AB, Canada.,Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Tyler Meyer
- University of Calgary, Department of Oncology, Calgary, AB, Canada.,Alberta Health Services, Calgary Zone, Calgary, AB, Canada
| | - Jordan Stosky
- University of Calgary, Department of Oncology, Calgary, AB, Canada.,Alberta Health Services, Calgary Zone, Calgary, AB, Canada
| | - Will Jiang
- University of Calgary, Department of Oncology, Calgary, AB, Canada.,Alberta Health Services, Calgary Zone, Calgary, AB, Canada
| | - Kundan Thind
- University of Calgary, Department of Oncology, Calgary, AB, Canada.,Alberta Health Services, Calgary Zone, Calgary, AB, Canada
| | - Michael Roumeliotis
- University of Calgary, Department of Oncology, Calgary, AB, Canada.,Alberta Health Services, Calgary Zone, Calgary, AB, Canada
| | - John Bosch
- Alberta Health Services, Calgary Zone, Calgary, AB, Canada
| | - Steve Angyalfi
- University of Calgary, Department of Oncology, Calgary, AB, Canada.,Alberta Health Services, Calgary Zone, Calgary, AB, Canada
| | - Harvey Quon
- University of Calgary, Department of Oncology, Calgary, AB, Canada.,Alberta Health Services, Calgary Zone, Calgary, AB, Canada
| | - Siraj Husain
- University of Calgary, Department of Oncology, Calgary, AB, Canada.,Alberta Health Services, Calgary Zone, Calgary, AB, Canada
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Christie DRH, Sharpley CF. How accurately can multiparametric magnetic resonance imaging measure the tumour volume of a prostate cancer? Results of a systematic review. J Med Imaging Radiat Oncol 2020; 64:398-407. [PMID: 32363735 DOI: 10.1111/1754-9485.13035] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2020] [Revised: 03/22/2020] [Accepted: 03/23/2020] [Indexed: 12/15/2022]
Abstract
The tumour volume of a cancer within the prostate gland is commonly measured with multiparametric MRI. The measurement has a role in many clinical scenarios including focal therapy, but the accuracy of it has never been systematically reviewed. We included articles if they compared tumour volume measurements obtained by mpMRI with a reference volume measurement obtained after radical prostatectomy. Correlation and concordance statistics were summarised. A simple accuracy score was derived by dividing the given mean or median mpMRI volume by the histopathological reference volume. Factors affecting the accuracy were noted. Scores for potential bias and quality were calculated for each article. A total of 18 articles describing 1438 patients were identified. Nine articles gave Pearson's correlation scores, with a median value of 0.75 but the range was wide (0.42-0.97). A total of 11 articles reported mean values for volume while 9 reported median values. For all 18 articles, the mean or median values for MRI volumes were lower than the corresponding reference values suggesting consistent underestimation. For articles reporting mean and median values for volume, the median accuracy scores were 0.83 and 0.80, respectively. The accuracy was higher for tumours of greater volume, higher grade and when an endorectal coil was used. Accuracy did not seem to improve over time, with a 3 Tesla magnet or by applying a shrinkage factor to the reference measurement. Most studies showed evidence of at least moderate bias, and their quality was highly variable, but neither of these appeared to affect accuracy.
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Affiliation(s)
- David R H Christie
- Genesiscare, Inland Drive, Gold Coast, Queensland, Australia.,Brain-Behaviour Research Group, University of New England, Armidale, New South Wales, Australia
| | - Christopher F Sharpley
- Brain-Behaviour Research Group, University of New England, Armidale, New South Wales, Australia
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6
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Hatano K, Tanaka J, Nakai Y, Nakayama M, Kakimoto KI, Nakanishi K, Nishimura K. Utility of index lesion volume assessed by multiparametric MRI combined with Gleason grade for assessment of lymph node involvement in patients with high-risk prostate cancer. Jpn J Clin Oncol 2020; 50:333-337. [PMID: 31829421 DOI: 10.1093/jjco/hyz170] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2019] [Revised: 10/03/2019] [Accepted: 10/10/2019] [Indexed: 12/16/2022] Open
Abstract
PURPOSE We examined the potential predictors of lymph node involvement and evaluated whether index lesion volume assessed using multiparametric magnetic resonance imaging is associated with lymph node involvement among patients with high-risk prostate cancer. METHODS Extended pelvic lymph node dissection was used to evaluate patients with lymph node involvement. We retrospectively analyzed consecutive 102 patients with high-risk prostate cancer who underwent extended pelvic lymph node dissection at our institution between 2011 and 2017. To evaluate the index lesion volume at multiparametric magnetic resonance imaging (mrV), lesions were manually contoured on each T2-weighted axial slice in combination with diffusion-weighted and dynamic contrast-enhanced magnetic resonance imaging and integrated using image analysis software. Logistic regression analysis was performed to identify predictors of lymph node involvement. RESULTS The median mrV was 1.4 ml (range 0-30.1 ml), and the median number of resected lymph nodes was 14 (range 7-38). Among 102 patients, 28 (28%) had lymph node involvement. Multivariate analysis identified significant predictors of lymph node involvement as follows: biopsy Gleason-grade group 5 (odds ratio = 17.2; 95% confidence interval, 2.1-299.0; P = 0.005), preoperative mrV (odds ratio = 1.14; 95% confidence interval, 1.02-1.30; P = 0.025) and percentage of positive cores with highest Gleason-grade group (odds ratio = 1.05; 95% confidence interval, 1.01-1.10; P = 0.005). Lymph node involvement was prevalent (69%) among tumors with Gleason-grade group 5 and mrV ≥3.4 ml, but was infrequently (10%) present among tumors with Gleason-grade group ≤4 and mrV <3.4 ml. CONCLUSIONS The combination of biopsy Gleason-grade and mrV may serve as a useful tool to stratify patients according to their risk of nodal metastases.
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Affiliation(s)
- Koji Hatano
- Department of Urology, Osaka International Cancer Institute, Osaka, Japan
| | - Junichiro Tanaka
- Department of Diagnostic and Interventional Radiology, Osaka International Cancer Institute, Osaka, Japan
| | - Yasutomo Nakai
- Department of Urology, Osaka International Cancer Institute, Osaka, Japan
| | - Masashi Nakayama
- Department of Urology, Osaka International Cancer Institute, Osaka, Japan
| | - Ken-Ichi Kakimoto
- Department of Urology, Osaka International Cancer Institute, Osaka, Japan
| | - Katsuyuki Nakanishi
- Department of Diagnostic and Interventional Radiology, Osaka International Cancer Institute, Osaka, Japan
| | - Kazuo Nishimura
- Department of Urology, Osaka International Cancer Institute, Osaka, Japan
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7
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Prognostic Value of Pretreatment MRI in Patients With Prostate Cancer Treated With Radiation Therapy: A Systematic Review and Meta-Analysis. AJR Am J Roentgenol 2019; 214:597-604. [PMID: 31799874 DOI: 10.2214/ajr.19.21836] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
OBJECTIVE. Despite a substantial increase in the use of MRI for pretreatment evaluation of prostate cancer, its prognostic value in patients undergoing radiation therapy (RT) is not well known. Therefore, the purpose of this study was to systematically review the literature and perform a meta-analysis on the prognostic value of pretreatment MRI in patients with prostate cancer who underwent external beam radiation therapy (EBRT) or brachytherapy. MATERIALS AND METHODS. PubMed and Embase databases were searched for studies published on or before March 13, 2019. We included studies that evaluated pretreatment MRI as a prognostic factor in prostate cancer regarding biochemical recurrence (BCR), metastatic failure, and overall or cancer-specific mortality. Effect sizes were measured in terms of the hazard ratio (HR) and were meta-analytically pooled using the random-effects model. The quality of the studies was independently evaluated using the Quality in Prognostic Studies tool. RESULTS. Twelve studies (2205 patients) were included. All studies assessed BCR; metastasis was evaluated in three studies, and mortality was evaluated in one study. Extraprostatic extension (EPE), seminal vesicle invasion (SVI), large tumor size or volume, number of sextants involved, and tumor involvement of prostatic apex were significant prognostic factors of BCR (pooled HRs = 1.50-4.47). EPE, larger tumor size, greater tumor volume, presence of metastatic pelvic lymph nodes (LNs), and presence of SVI were significant risk factors for metastasis (pooled HRs = 1.12-11.96). Pelvic LN metastasis was significantly predictive of cancer-specific mortality (HR = 4.45 [95% CI, 1.30-15.23]). CONCLUSION. Several pretreatment MRI findings were significant prognostic factors in patients with prostate cancer who underwent RT.
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8
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Giganti F, Moore CM, Punwani S, Allen C, Emberton M, Kirkham A. The natural history of prostate cancer on MRI: lessons from an active surveillance cohort. Prostate Cancer Prostatic Dis 2018; 21:556-563. [PMID: 30038388 DOI: 10.1038/s41391-018-0058-5] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2018] [Revised: 04/08/2018] [Accepted: 04/17/2018] [Indexed: 11/08/2022]
Abstract
BACKGROUND Multiparametric magnetic resonance imaging (mpMRI) is being used increasingly in the setting of active surveillance (AS) for prostate cancer. We investigated changes in the mpMRI appearance of lesions on AS, to show the variability of volume measurements in visible lesions and assess change in lesion size according to grade. METHODS We retrospectively retrieved 86 men on AS (NICE guidelines) with more than one mpMRI (the first before 2013). Two radiologists, in consensus, were blinded to patient demographics and date of scan. The scans were randomly reported to reduce any bias. For visible lesions, we measured volume by planimetry on the sequence best showing the most conspicuous (index) tumour and attributed a 5-point Likert score. RESULTS 43/86 men did not have a visible lesion on the initial mpMRI (≤2/5). Of these, 5/43 had developed a lesion scoring ≥3/5 at a median of 3.6 years of follow up. 40/86 had a lesion scoring ≥3/5 on two or more scans. There was a significant increase in volume over 3.6 years by a median of 10% (p < 0.01)-by a median of 6% for Gleason 3+3 and 18% for 3+4 (p = 0.058). Thirty-five men had a visible lesion on two scans separated by <2 years; of these, 21/35 showed a 78% median increase in tumour size between the two scans and 11/35 showed an apparent 25% median decrease in lesion size. CONCLUSIONS A total of 17% of men with no visible lesion developed a visible lesion at a median follow up of 3.6 years. It is possible to show significant growth in patients with a visible lesion, but variability in volume measurements between scans means that it is difficult to reliably detect increases of this order. This variability may inform the design of mpMRI protocols in AS and the time between follow up scans.
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Affiliation(s)
- Francesco Giganti
- Department of Radiology, University College London Hospital NHS Foundation Trust, London, UK.
- Division of Surgery and Interventional Science, University College London, London, UK.
| | - Caroline M Moore
- Division of Surgery and Interventional Science, University College London, London, UK
- Department of Urology, 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
| | - Clare Allen
- Department of Radiology, University College London Hospital NHS Foundation Trust, London, UK
| | - Mark Emberton
- Division of Surgery and Interventional Science, University College London, London, UK
- Department of Urology, University College London Hospital NHS Foundation Trust, London, UK
| | - Alex Kirkham
- Department of Radiology, University College London Hospital NHS Foundation Trust, London, UK
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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]
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Tamihardja J, Zenk M, Flentje M. MRI-guided localization of the dominant intraprostatic lesion and dose analysis of volumetric modulated arc therapy planning for prostate cancer. Strahlenther Onkol 2018; 195:145-152. [PMID: 30209535 DOI: 10.1007/s00066-018-1364-5] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2018] [Accepted: 08/23/2018] [Indexed: 01/10/2023]
Abstract
PURPOSE Primary radiation therapy is a curative treatment option for prostate cancer. The aim of this study was to evaluate the detection of the dominant intraprostatic lesion (DIL) with magnetic resonance imaging (MRI) for radiotherapy treatment planning, the comparison with transrectal ultrasound (TRUS)-guided biopsies and the examination of the dose distribution in relation to the DIL location. MATERIALS AND METHODS In all, 54 patients with treatment planning MRI for primary radiotherapy of prostate cancer from 03/2015 to 03/2017 at the Universitätsklinikum Würzburg were identified. The localization of the DIL was based on MRI with T2- and diffusion-weighted imaging. After registration of the MR image sets within Pinnacle3 (Philips Radiation Oncology Systems, Fitchburg, WI, USA), the dose distribution was analyzed. The location of the DIL was compared to the pathology reports in a side-based manner. RESULTS The DIL mean dose (Dmean) was 77.51 ± 0.77 Gy and in 50/51 cases within the tolerance range or exceeded the prescribed dose. There was a significant difference in Dmean between ventral (n = 21) and dorsal (n = 30) DIL (77.87 ± 0.67 vs. 77.26 ± 0.77 Gy; p = 0.005). MRI-guided localization showed an accuracy and sensitivity of up to 78.8% and 82.1% for inclusion of secondary lesions, respectively. CONCLUSION Up to 82.1% of histologically verified intraprostatic lesions were identified in the context of MRI-guided radiotherapy treatment planning. As expected, dorsal DIL tend to be minimally underdosed in comparison to ventral DIL. Adequate dose coverage was achieved in over 98% of patients.
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Affiliation(s)
- Jörg Tamihardja
- Klinik und Poliklinik für Strahlentherapie, Universitätsklinikum Würzburg, Josef-Schneider-Straße 11, 97080, Würzburg, Germany.
| | - Maria Zenk
- Klinik und Poliklinik für Strahlentherapie, Universitätsklinikum Würzburg, Josef-Schneider-Straße 11, 97080, Würzburg, Germany
| | - Michael Flentje
- Klinik und Poliklinik für Strahlentherapie, Universitätsklinikum Würzburg, Josef-Schneider-Straße 11, 97080, Würzburg, Germany
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11
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Brembilla G, Dell’Oglio P, Stabile A, Ambrosi A, Cristel G, Brunetti L, Damascelli A, Freschi M, Esposito A, Briganti A, Montorsi F, Del Maschio A, De Cobelli F. Preoperative multiparametric MRI of the prostate for the prediction of lymph node metastases in prostate cancer patients treated with extended pelvic lymph node dissection. Eur Radiol 2017; 28:1969-1976. [DOI: 10.1007/s00330-017-5229-6] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2017] [Revised: 11/10/2017] [Accepted: 11/30/2017] [Indexed: 01/22/2023]
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12
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Morgan VA, Parker C, MacDonald A, Thomas K, deSouza NM. Monitoring Tumor Volume in Patients With Prostate Cancer Undergoing Active Surveillance: Is MRI Apparent Diffusion Coefficient Indicative of Tumor Growth? AJR Am J Roentgenol 2017; 209:620-628. [PMID: 28609110 DOI: 10.2214/ajr.17.17790] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
OBJECTIVE The purpose of this study was to measure longitudinal change in tumor volume of the dominant intraprostatic lesion and determine whether baseline apparent diffusion coefficient (ADC) and change in ADC are indicative of tumor growth in patients with prostate cancer undergoing active surveillance. SUBJECTS AND METHODS The study group included 151 men (mean age, 68.1 ± 7.4 [SD] years; range, 50-83 years) undergoing active surveillance with 3D whole prostate, zonal, and tumor volumetric findings documented at endorectal MRI examinations performed at two time points (median interval, 1.9 years). Tumor (location confirmed at transrectal ultrasound or template biopsy) ADC was measured on the slice with the largest lesion. Twenty randomly selected patients had the measurements repeated by the same observer after a greater than 4-month interval, and the limits of agreement of measurements were calculated. Tumor volume increases greater than the upper limit of agreement were designated measurable growth, and their baseline ADCs and change in ADC were compared with those of tumors without measurable growth (independent-samples t test). RESULTS Fifty-two (34.4%) tumors increased measurably in volume. Baseline ADC and tumor volume were negatively correlated (r = -0.42, p = 0.001). Baseline ADC values did not differ between those with and those without measurable growth (p = 0.06), but change in ADC was significantly different (-6.8% ± 12.3% for those with measurable growth vs 0.23% ± 10.1% for those without, p = 0.0005). Percentage change in tumor volume and percentage change in ADC were negatively correlated (r = -0.31, p = 0.0001). A 5.8% reduction in ADC indicated a measurable increase in tumor volume with 54.9% sensitivity and 77.0% specificity (AUC, 0.67). CONCLUSION Tumor volume increased measurably in 34.4% of men after 2 years of active surveillance. Change in ADC may be used to identify tumors with measurable growth.
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Affiliation(s)
- Veronica A Morgan
- 1 Cancer Research UK Cancer Imaging Centre, MRI Unit, Royal Marsden Hospital, Downs Rd, Sutton, Surrey SM2 5PT, UK
| | - Christopher Parker
- 2 Academic Urology Unit, Royal Marsden Hospital NHS Foundation Trust and Institute of Cancer Research, Sutton, Surrey, UK
| | - Alison MacDonald
- 1 Cancer Research UK Cancer Imaging Centre, MRI Unit, Royal Marsden Hospital, Downs Rd, Sutton, Surrey SM2 5PT, UK
| | - Karen Thomas
- 3 Statistics Unit, Royal Marsden Hospital NHS Foundation Trust, Sutton, Surrey, UK
| | - Nandita M deSouza
- 1 Cancer Research UK Cancer Imaging Centre, MRI Unit, Royal Marsden Hospital, Downs Rd, Sutton, Surrey SM2 5PT, UK
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Abstract
A cost-effective regularly structured three-dimensional (3D) printed grid phantom was developed to enable the quantification of machine-related magnetic resonance (MR) distortion. This phantom contains reference features, “point-like” objects, or vertices, which resulted from the intersection of mesh edges in 3D space. 3D distortions maps were computed by comparing the locations of corresponding features in both MR and computer tomography (CT) data sets using normalized cross correlation. Results are reported for six MRI scanners at both 1.5 T and 3.0 T field strengths within our institution. Mean Euclidean distance error for all MR volumes in this study, was less than 2 mm. The maximum detected error for the six scanners ranged from 2.4 mm to 6.9 mm. The conclusions in this study agree well with previous studies that indicated that MRI is quite accurate near the centre of the field but is more spatially inaccurate toward the edges of the magnetic field.
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14
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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]
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