1
|
Moukaddam H, El Saheb G, Omran N, El Ghawi N, Abi Ghanem A, Haidar M. Case report: positive pitfalls of PSMA PET/CT: diagnostic challenges in degenerative bone lesions including MODIC type 1. FRONTIERS IN NUCLEAR MEDICINE (LAUSANNE, SWITZERLAND) 2024; 4:1451848. [PMID: 39355218 PMCID: PMC11440935 DOI: 10.3389/fnume.2024.1451848] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/19/2024] [Accepted: 07/17/2024] [Indexed: 10/03/2024]
Abstract
Prostate-specific membrane antigen (PSMA) positron emission tomography/computed tomography (PET/CT) is an imaging technique that has demonstrated high sensitivity and specificity in detecting prostate cancer and its metastasis, especially in the bones. This case describes a 60-year-old man who presented for increased prostate-specific antigen (PSA) level and underwent [68Ga]gallium-PSMA-11 PET/CT imaging for better disease assessment. 68Ga-PSMA-11 PET/CT revealed numerous radiotracer-positive lesions in both prostate lobes with associated sclerotic lesions on L4 and L5, but only L5 showed increased radiotracer avidity raising the possibility of metastasis. Magnetic Resonance Imaging (MRI) raises the possibility of aggressive MODIC type 1 lesion vs. infectious/inflammatory process. A biopsy of the radiotracer avid area was performed and showed no evidence of metastasis. The final diagnosis was aggressive MODIC type 1, in keeping with the false positive result of 68Ga-PSMA-11 PET/CT. This example demonstrates the possible limitations of 68Ga-PSMA-11 PET/CT, particularly in detecting bone metastases, and emphasizes the need for cautious interpretation and additional study to improve its diagnostic accuracy. Understanding and resolving these limitations is critical for increasing the accuracy of PSMA PET/CT in prostate cancer management.
Collapse
Affiliation(s)
| | | | | | | | | | - Mohamad Haidar
- Department of Diagnostic Radiology, American University of Beirut, Beirut, Lebanon
| |
Collapse
|
2
|
Gandaglia G, Barletta F, Robesti D, Scuderi S, Rajwa P, Gomez Rivas J, Ibanez L, Soeterik TFW, Bianchi L, Afferi L, Kesch C, Darr C, Guo H, Zhuang J, Zattoni F, Fendler W, Marra G, Stabile A, Amparore D, Huebner NA, Giesen A, Joniau S, Schiavina R, Brunocilla E, Mattei A, Dal Moro F, Sierra JM, Porpiglia F, Picchio M, van den Bergh R, Shariat SF, Montorsi F, Briganti A. Identification of the Optimal Candidates for Nodal Staging with Extended Pelvic Lymph Node Dissection Among Prostate Cancer Patients Who Underwent Preoperative Prostate-specific Membrane Antigen Positron Emission Tomography. External Validation of the Memorial Sloan Kettering Cancer Center and Briganti Nomograms and Development of a Novel Tool. Eur Urol Oncol 2023; 6:543-552. [PMID: 37270378 DOI: 10.1016/j.euo.2023.05.003] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 04/15/2023] [Accepted: 05/06/2023] [Indexed: 06/05/2023]
Abstract
BACKGROUND Although the therapeutic role of extended pelvic lymph node dissection (ePLND) in patients with prostate cancer (PCa) is still under debate, this procedure is recommended for staging purposes in selected cases. Nomograms for predicting lymph node invasion (LNI) do not account for prostate-specific membrane antigen (PSMA) positron emission tomography (PET) imaging, which is characterized by a high negative predictive value for nodal metastases. OBJECTIVE To externally validate models predicting LNI in patients with miN0M0 PCa at PSMA PET and to develop a novel tool in this setting. DESIGN, SETTING, AND PARTICIPANTS Overall, 458 patients with miN0M0 disease undergoing radical prostatectomy (RP) and ePLND at 12 centers between 2017 and 2022 were identified. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSES Available tools were externally validated using calibration plots, the area under the receiver operating characteristic curve (AUC), and decision curve analyses to assess calibration, discrimination, and the net benefit. A novel coefficient-based model was developed, internally validated, and compared with available tools. RESULTS AND LIMITATIONS Overall, 53 patients (12%) had LNI. The AUC was 69% for the Briganti 2012, 64% for the Briganti 2017, 73% for the Briganti 2019, and 66% for the Memorial Sloan Kettering Cancer Center nomogram. Multiparametric magnetic resonance imaging stage, biopsy grade group 5, the diameter of the index lesion, and the percentage of positive cores at systematic biopsy were independent predictors of LNI (all p ≤ 0.04). Internal cross-validation confirmed a coefficient-based model with AUC of 78%, better calibration, and a higher net benefit in comparison to the other nomograms assessed. Use of a 5% cutoff would have spared 47% ePLND procedures (vs 13% for the Briganti 2019 nomogram) at the cost of missing only 2.1% LNI cases . The lack of central review of imaging and pathology represents the main limitation. CONCLUSIONS Tools for predicting LNI are associated with suboptimal performance for men with miN0M0 PCa. We propose a novel model for predicting LNI that outperforms available tools in this population. PATIENT SUMMARY Tools currently used to predict lymph node invasion (LNI) in prostate cancer are not optimal for men with negative node findings on PET (positron emission tomography) scans, leading to a high number of unnecessary extended pelvic lymph node dissection (ePLND) procedures. A novel tool should be used in clinical practice to identify candidates for ePLND to reduce the risk of unnecessary procedures without missing LNI cases.
Collapse
Affiliation(s)
- Giorgio Gandaglia
- Unit of Urology, Division of Oncology, Gianfranco Soldera Prostate Cancer Laboratory, IRCCS San Raffaele Scientific Institute, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy.
| | - Francesco Barletta
- Unit of Urology, Division of Oncology, Gianfranco Soldera Prostate Cancer Laboratory, IRCCS San Raffaele Scientific Institute, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy
| | - Daniele Robesti
- Unit of Urology, Division of Oncology, Gianfranco Soldera Prostate Cancer Laboratory, IRCCS San Raffaele Scientific Institute, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy
| | - Simone Scuderi
- Unit of Urology, Division of Oncology, Gianfranco Soldera Prostate Cancer Laboratory, IRCCS San Raffaele Scientific Institute, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy
| | - Pawel Rajwa
- Department of Urology, Medical University of Vienna, Vienna, Austria; Department of Urology, Medical University of Silesia, Zabrze, Poland
| | - Juan Gomez Rivas
- Department of Urology, Hospital Clinico San Carlos, Madrid, Spain
| | - Laura Ibanez
- Department of Urology, Hospital Clinico San Carlos, Madrid, Spain
| | - Timo F W Soeterik
- Department of Urology, St. Antonius Hospital, Utrecht, The Netherlands
| | - Lorenzo Bianchi
- Division of Urology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Luca Afferi
- Department of Urology, Luzerner Kantonsspital, Luzern, Switzerland
| | - Claudia Kesch
- Department of Urology, West German Cancer Center, University of Duisburg, Essen, Germany; German Cancer Consortium, University Hospital Essen, Essen, Germany
| | - Christopher Darr
- Department of Urology, West German Cancer Center, University of Duisburg, Essen, Germany; German Cancer Consortium, University Hospital Essen, Essen, Germany
| | - Hongqian Guo
- Department of Urology, Drum Tower Hospital, Medical School of Nanjing University, Institute of Urology, Nanjing University, Jiangsu, China
| | - Junlong Zhuang
- Department of Urology, Drum Tower Hospital, Medical School of Nanjing University, Institute of Urology, Nanjing University, Jiangsu, China
| | - Fabio Zattoni
- Department Surgery, Oncology and Gastroenterology, Urologic Unit, University of Padova, Padua, Italy
| | - Wolfgang Fendler
- Department of Nuclear Medicine, University of Duisburg-Essen, Essen, Germany
| | - Giancarlo Marra
- University Hospital S. Giovanni Battista, Azienda Ospedaliero Universitaria Citta della Salute e della Scienza di Torino, Turin, Italy
| | - Armando Stabile
- Unit of Urology, Division of Oncology, Gianfranco Soldera Prostate Cancer Laboratory, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Daniele Amparore
- Department of Oncology, Division of Urology, San Luigi Gonzaga Hospital, Turin, Italy
| | - Nicolai A Huebner
- Department of Urology, Medical University of Vienna, Vienna, Austria
| | - Alexander Giesen
- Department of Urology, University Hospitals Leuven, Leuven, Belgium
| | - Steven Joniau
- Department of Urology, University Hospitals Leuven, Leuven, Belgium
| | - Riccardo Schiavina
- Division of Urology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Eugenio Brunocilla
- Division of Urology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Agostino Mattei
- Department of Urology, Luzerner Kantonsspital, Luzern, Switzerland
| | - Fabrizio Dal Moro
- Department Surgery, Oncology and Gastroenterology, Urologic Unit, University of Padova, Padua, Italy
| | | | - Francesco Porpiglia
- University Hospital S. Giovanni Battista, Azienda Ospedaliero Universitaria Citta della Salute e della Scienza di Torino, Turin, Italy
| | - Maria Picchio
- Vita-Salute San Raffaele University, Milan, Italy; Department of Nuclear Medicine, IRCCS Ospedale San Raffaele, Milan, Italy
| | | | | | - Francesco Montorsi
- Unit of Urology, Division of Oncology, Gianfranco Soldera Prostate Cancer Laboratory, IRCCS San Raffaele Scientific Institute, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy
| | - Alberto Briganti
- Unit of Urology, Division of Oncology, Gianfranco Soldera Prostate Cancer Laboratory, IRCCS San Raffaele Scientific Institute, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy
| |
Collapse
|
3
|
Zhang Y, Shi Y, Ye L, Li T, Wei Y, Lin Z, Chen W. Improving diagnostic efficacy of primary prostate cancer with combined 99mTc-PSMA SPECT/CT and multiparametric-MRI and quantitative parameters. Front Oncol 2023; 13:1193370. [PMID: 37766869 PMCID: PMC10520245 DOI: 10.3389/fonc.2023.1193370] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Accepted: 07/31/2023] [Indexed: 09/29/2023] Open
Abstract
Purpose This prospective study aimed to evaluate the difference between 99mTc-PSMA single-photon emission computed tomography (SPECT)/CT and multiparametric magnetic resonance imaging (mpMRI) in the detection of primary prostate cancer (PCa). Materials and methods Fifty-six men with suspected PCa between October 2019 and November 2022 were prospectively enrolled in this study. The median age of the patients was 70 years (range, 29-87 years). Patients were divided into high-(Gleason score>7, n=31), medium- (Gleason score=7, n=6) and low-risk groups (Gleason score < 7, n=6). All patients underwent 99mTc-PSMA SPECT/CT and mpMRI at an average interval of 3 days (range, 1-7 days). The maximum standardized uptake value (SUVmax), the minimum apparent diffusion coefficient (ADCmin), and their ratio (SUVmax/ADCmin) were used as imaging parameters to distinguish benign from malignant prostatic lesions. Results Of the 56 patients, 12 were pathologically diagnosed with a benign disease, and 44 were diagnosed with PCa. 99mTc-PSMA SPECT/CT and mpMRI showed no significant difference in the detection of primary PCa (kappa =0.401, P=0.002), with sensitivities of 97.7% (43/44) and 90.9% (40/44), specificities of 75.0% (9/12) and 75.0% (9/12), and AUC of 97.4% and 95.1%, respectively. The AUC of SUVmax/ADCmin was better than those of SUVmax or ADCmin alone. When SUVmax/ADCmin in the prostatic lesion was >7.0×103, the lesion was more likely to be malignant. When SUVmax/ADCmin in the prostatic lesion is >27.0×103, the PCa patient may have lymph node and bone metastases. SUVmax was positively correlated with the Gleason score (r=0.61, P=0.008), whereas ADCmin was negatively correlated with the Gleason score (r=-0.35, P=0.023). SUVmax/ADCmin was positively correlated with the Gleason score (r=0.59, P=0.023). SUVmax/ADCmin was the main predictor of the high-risk group, with an optimal cut-off value of 15.0×103. Conclusions The combination of 99mTc-PSMA SPECT/CT and mpMRI can improve the diagnostic efficacy for PCa compared with either modality alone; SUVmax/ADCmin is a valuable differential diagnostic imaging parameter.
Collapse
Affiliation(s)
- Yu Zhang
- Department of Nuclear Medicine, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China
- Department of Nuclear Medicine, Fujian Provincial Hospital, Fuzhou, China
- Department of Nuclear Medicine, Fujian Research Institute of Nuclear Medicine, Fuzhou, China
| | - Yuanying Shi
- Department of Nuclear Medicine, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China
| | - Liefu Ye
- Department of Urology, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China
- Department of Urology, Fujian Provincial Hospital, Fuzhou, China
| | - Tao Li
- Department of Urology, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China
- Department of Urology, Fujian Provincial Hospital, Fuzhou, China
| | - Yongbao Wei
- Department of Urology, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China
- Department of Urology, Fujian Provincial Hospital, Fuzhou, China
| | - Zhiyi Lin
- Department of Nuclear Medicine, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China
- Department of Nuclear Medicine, Fujian Provincial Hospital, Fuzhou, China
- Department of Nuclear Medicine, Fujian Research Institute of Nuclear Medicine, Fuzhou, China
| | - Wenxin Chen
- Department of Nuclear Medicine, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, China
- Department of Nuclear Medicine, Fujian Provincial Hospital, Fuzhou, China
- Department of Nuclear Medicine, Fujian Research Institute of Nuclear Medicine, Fuzhou, China
| |
Collapse
|
4
|
Prostate specific membrane antigen positron emission tomography in primary prostate cancer diagnosis: First-line imaging is afoot. Cancer Lett 2022; 548:215883. [PMID: 36027998 DOI: 10.1016/j.canlet.2022.215883] [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: 07/23/2022] [Accepted: 08/11/2022] [Indexed: 11/23/2022]
Abstract
Prostate specific membrane antigen positron emission tomography (PSMA PET) is an excellent molecular imaging technique for prostate cancer. Currently, PSMA PET for patients with primary prostate cancer is supplementary to conventional imaging techniques, according to guidelines. This supplementary function of PSMA PET is due to a lack of systematic review of its strengths, limitations, and potential development direction. Thus, we review PSMA ligands, detection, T, N, and M staging, treatment management, and false results of PSMA PET in clinical studies. We also discuss the strengths and challenges of PSMA PET. PSMA PET can greatly increase the detection rate of prostate cancer and accuracy of T/N/M staging, which facilitates more appropriate treatment for primary prostate cancer. Lastly, we propose that PSMA PET could become the first-line imaging modality for primary prostate cancer, and we describe its potential expanded application.
Collapse
|
5
|
Diagnostic value of integrated 18F-PSMA-1007 PET/MRI Compared with that of Biparametric MRI for the detection of Prostate Cancer. Prostate Int 2022; 10:108-116. [PMID: 35510079 PMCID: PMC9052074 DOI: 10.1016/j.prnil.2022.03.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2022] [Revised: 03/09/2022] [Accepted: 03/22/2022] [Indexed: 12/24/2022] Open
Abstract
Objective Materials and methods Results Conclusion
Collapse
|
6
|
Chinnappan S, Chandra P, Kumar JS, Chandran G, Nath S. SUVmax/ADC Ratio as a Molecular Imaging Biomarker for Diagnosis of Biopsy-Naïve Primary Prostate Cancer. Indian J Nucl Med 2021; 36:377-384. [PMID: 35125755 PMCID: PMC8771060 DOI: 10.4103/ijnm.ijnm_62_21] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Revised: 07/09/2021] [Accepted: 08/06/2021] [Indexed: 01/13/2023] Open
Abstract
Background: Gallium-68-prostate-specific membrane antigen (68Ga-PSMA) positron emission tomography/computed tomography (PET/CT) has recently been shown to be very high accuracy in biopsy-naïve prostate cancer (PCa) detection and can potentially improve the low specificity noted with diffusion-weighted magnetic resonance imaging (DW-MRI), especially in instances of prostate inflammation. We aimed to compare the diagnostic accuracy of DW-MRI and PSMA PET/CT using apparent diffusion coefficient (ADC) and maximum standardized uptake (SUVmax) values in the diagnosis of PCa. Patients and Methods: A retrospective study comparing and analyzing the diagnostic accuracy of prebiopsy DW-MRI and 68Ga-PSMA PET/CTs done in patients with suspected PCa (raised prostate specific antigen [PSA] and/or positive digital rectal examination) from January 2019 to December 2020. The standard of reference was transrectal ultrasound-guided biopsies. Results: Sixty-seven patients were included in the study, mean age: 70 years (range 49–84), mean PSA: 23.2 ng/ml (range 2.97–45.6). Biopsy was positive for PCa in 56% (n = 38) and negative in 43% (n = 29). Of the benign results, benign hyperplasia was noted in 75% (n = 22) and prostatitis in 25% (n = 7). Of the PCa, 55% (n = 21) of were high International Society of Urological Pathology (ISUP) grade (4–5) and 45% (n = 17) low/intermediate ISUP grade (1–3). Overall the sensitivity/specificity/Accuracy for prediction of PCa of MRI using prostate imaging and reporting data system version 2 criteria and PSMA PET/CT using PCa molecular imaging standardized evaluation criteria was 92.1%/65.5%/80.5% and 76.3%/96.5%/85.1% respectively. Mean apparent diffusion co-efficient (mean ADC) value of benign lesions and PCa was 1.135 × 10-3 mm2/s and 0.723 × 10-3 mm2/s, respectively (P = 0.00001). Mean SUVmax and ADC of benign and PCa lesions was 4.01 and 16.4 (P = 0.000246). Mean SUVmax/ADC ratio of benign and malignant lesions was 3.8 × 103 versus 25.21 × 103 (P < 0.000026). Inverse correlation was noted between ADC and SUVmax values (R = −0.609), inverse correlation noted between ADC and Gleason's score (R = −0.198), and positive correlation of SUVmax and SUVmax/ADC with Gleason's score (R = 0.438 and R = 0.448). Receiver operating characteristic curve analysis revealed a SUVmax cutoff 6.03 (sensitivity/specificity - 76%/90%, area under the curve (AUC) - 0.935, Youden index (YI) - 0.66), ADC cutoff of 0.817 × 10−3 mm2/s (sensitivity/specificity – 79%/86%, AUC – 0.890, YI - 0.65), and SUVmax/ADC ratio cutoff of 7.43 × 103 (sensitivity/specificity – 87%/98%, AUC - 0.966, YI - 0.85) for PCa diagnosis. Conclusion: For diagnosis of biopsy-naïve PCas, the combination of diffusion-weighted MRI and PSMA PET/CT (i.e., SUVmax/ADC ratio) shows better diagnostic accuracy than either used alone and the combination of PET and MRI is especially useful when distinguishing cancer from prostatitis.
Collapse
Affiliation(s)
- Sheela Chinnappan
- Department of Radiodiagnosis, Sri Ramchandra Institute of Higher Education and Research, Chennai, Tamil Nadu, India
| | - Piyush Chandra
- Department of Nuclear Medicine, MIOT International Hospital, Chennai, Tamil Nadu, India
| | - John Santa Kumar
- Department of Nuclear Medicine, MIOT International Hospital, Chennai, Tamil Nadu, India
| | - Ganesan Chandran
- Department of Nuclear Medicine, MIOT International Hospital, Chennai, Tamil Nadu, India
| | - Satish Nath
- Department of Nuclear Medicine, MIOT International Hospital, Chennai, Tamil Nadu, India
| |
Collapse
|
7
|
P Lima J, Carvalho J, Quaresma V, Tavares-da-Silva E, Silva R, Azinhais P, Costa G, Figueiredo A. The Role of Ga-68-PSMA PET/CT in the Initial Staging of Prostate Cancer - A Single Center 4 Year Experience. Res Rep Urol 2021; 13:479-485. [PMID: 34268257 PMCID: PMC8275176 DOI: 10.2147/rru.s310226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Accepted: 06/25/2021] [Indexed: 11/23/2022] Open
Abstract
Background Recommended imaging modalities for prostate cancer staging have disappointing sensitivities, whereas [68Ga]-PSMA PET/CT (PET-PSMA) shows promising sensitivities and specificities in the initial management of prostate cancer. Recent studies have revealed that a significant change of management when PET-PSMA was used, with favorable negative predictive values. Methods In this retrospective study, we analyzed every PET-PSMA performed in our center for initial staging of intermediate and high-risk prostate cancer. Patients were divided into two groups based on whether imaging modalities other than PET-PSMA were performed. In patients submitted to radical prostatectomy, PET-PSMA findings were compared to histological analysis of the specimen. Results PET-PSMA results of 57 patients were gathered, with 77.2% (n=44) having performed CT scan or bone scan (BS) prior to PET-PSMA. Prostate cancer management strategy was changed in 61.4% (n=27), when PET-PSMA was performed following CT and BS. BS and CT results were consistent with PET-PSMA in 43.2% and 44.8%, respectively. In 30 cases, a curative strategy was used based on PET-PSMA findings. PET-PSMA revealed a negative predictive value of 95.2% in 23 patients submitted to radical prostatectomy with bilateral pelvic lymphadenectomy. Prostate SUV values on preoperative PET-PSMA correlated with initial PSA, ISUP grade, PC risk staging and presence of extraprostatic lesions. Conclusions PET-PSMA is a key element for prostate cancer staging and management, with high diagnostic accuracy. More prospective studies need to be implemented to determine its role as a first-line staging tool.
Collapse
Affiliation(s)
- João P Lima
- Urology and Renal Transplantation Department, Coimbra University Hospital Center, Coimbra, Portugal
| | - João Carvalho
- Urology and Renal Transplantation Department, Coimbra University Hospital Center, Coimbra, Portugal
| | - Vasco Quaresma
- Urology and Renal Transplantation Department, Coimbra University Hospital Center, Coimbra, Portugal
| | - Edgar Tavares-da-Silva
- Urology and Renal Transplantation Department, Coimbra University Hospital Center, Coimbra, Portugal
| | - Rodolfo Silva
- Nuclear Medicine Department, Coimbra University Hospital Centre, Coimbra, Portugal
| | - Paulo Azinhais
- Nuclear Medicine Department, Coimbra University Hospital Centre, Coimbra, Portugal
| | - Gracinda Costa
- Nuclear Medicine Department, Coimbra University Hospital Centre, Coimbra, Portugal
| | - Arnaldo Figueiredo
- Urology and Renal Transplantation Department, Coimbra University Hospital Center, Coimbra, Portugal
| |
Collapse
|
8
|
Lesion-to-background ratio threshold value of SUVmax of simultaneous [ 68Ga]Ga-PSMA-11 PET/MRI imaging in patients with prostate cancer. Insights Imaging 2020; 11:137. [PMID: 33331959 PMCID: PMC7745090 DOI: 10.1186/s13244-020-00926-y] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Accepted: 10/13/2020] [Indexed: 02/07/2023] Open
Abstract
Purpose This study aimed to calculate an applicable relative ratio threshold value instead of the absolute threshold value for simultaneous 68Ga prostate-specific membrane antigen/positron emission tomography ([68Ga]Ga-PSMA-11 PET) in patients with prostate cancer (PCa).
Materials and methods Our study evaluated thirty-two patients and 170 focal prostate lesions. Lesions are classified into groups according to Prostate Imaging Reporting and Data System (PI-RADS). Standardized uptake values maximum (SUVmax), corresponding lesion-to-background ratios (LBRs) of SUVmax, and LBR distributions of each group were measured based on regions of interest (ROI). We examined LBR with receiver operating characteristic analysis to determine threshold values for differentiation between multiparametric magnetic resonance imaging (mpMRI)-positive and mpMRI-negative lesions.
Results We analyzed a total of 170 focal prostate lesions. Lesions number of PI-RADS 2 to 5 was 70, 16, 46, and 38. LBR of SUVmax of each PI-RADS scores was 1.5 (0.9, 2.4), 2.5 (1.6, 3.4), 3.7 (2.6, 4.8), and 6.7 (3.5, 12.7). Based on an optimal threshold ratio of 2.5 to be exceeded, lesions could be classified into MRI-positive lesion on [68Ga]Ga-PSMA PET with a sensitivity of 85.2%, a specificity of 72.0%, with the corresponding area under the receiver operating characteristic curve (AUC) of 0.83, p < 0.001. This value matches the imaging findings better. Conclusion The ratio threshold value of SUVmax, LBR, has improved clinical and research applicability compared with the absolute value of SUVmax. A higher threshold value than the background’s uptake can dovetail the imaging findings on MRI better. It reduces the bias from using absolute background uptake value as the threshold value.
Collapse
|
9
|
Evangelista L, Zattoni F, Cassarino G, Artioli P, Cecchin D, Dal Moro F, Zucchetta P. PET/MRI in prostate cancer: a systematic review and meta-analysis. Eur J Nucl Med Mol Imaging 2020; 48:859-873. [PMID: 32901351 PMCID: PMC8036222 DOI: 10.1007/s00259-020-05025-0] [Citation(s) in RCA: 74] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2020] [Accepted: 08/31/2020] [Indexed: 12/16/2022]
Abstract
Aim In recent years, the clinical availability of scanners for integrated positron emission tomography (PET) and magnetic resonance imaging (MRI) has enabled the practical potential of multimodal, combined metabolic-receptor, anatomical, and functional imaging to be explored. The present systematic review and meta-analysis summarize the diagnostic information provided by PET/MRI in patients with prostate cancer (PCa). Materials and methods A literature search was conducted in three different databases. The terms used were “choline” or “prostate-specific membrane antigen - PSMA” AND “prostate cancer” or “prostate” AND “PET/MRI” or “PET MRI” or “PET-MRI” or “positron emission tomography/magnetic resonance imaging.” All relevant records identified were combined, and the full texts were retrieved. Reports were excluded if (1) they did not consider hybrid PET/MRI; or (2) the sample size was < 10 patients; or (3) the raw data were not enough to enable the completion of a 2 × 2 contingency table. Results Fifty articles were eligible for systematic review, and 23 for meta-analysis. The pooled data concerned 2104 patients. Initial disease staging was the main indication for PET/MRI in 24 studies. Radiolabeled PSMA was the tracer most frequently used. In primary tumors, the pooled sensitivity for the patient-based analysis was 94.9%. At restaging, the pooled detection rate was 80.9% and was higher for radiolabeled PSMA than for choline (81.8% and 77.3%, respectively). Conclusions PET/MRI proved highly sensitive in detecting primary PCa, with a high detection rate for recurrent disease, particularly when radiolabeled PSMA was used. Electronic supplementary material The online version of this article (10.1007/s00259-020-05025-0) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
- Laura Evangelista
- Nuclear Medicine Unit, Department of Medicine, Padova University Hospital, Via Giustiniani 2, Padova, Italy.
| | - Fabio Zattoni
- Urology Unit, Department of Medicine, Udine University Hospital, Udine, Italy
| | - Gianluca Cassarino
- Nuclear Medicine Unit, Department of Medicine, Padova University Hospital, Via Giustiniani 2, Padova, Italy
| | - Paolo Artioli
- Nuclear Medicine Unit, Department of Medicine, Padova University Hospital, Via Giustiniani 2, Padova, Italy
| | - Diego Cecchin
- Nuclear Medicine Unit, Department of Medicine, Padova University Hospital, Via Giustiniani 2, Padova, Italy
| | - Fabrizio Dal Moro
- Urology Unit, Department of Medicine, Udine University Hospital, Udine, Italy.,Urology Unit, Department of Surgery, Oncology and Gastroenterology, University of Padova, Padova, Italy
| | - Pietro Zucchetta
- Nuclear Medicine Unit, Department of Medicine, Padova University Hospital, Via Giustiniani 2, Padova, Italy
| |
Collapse
|
10
|
Wang L, Yu F, Yang L, Zang S, Xue H, Yin X, Guo H, Sun H, Wang F. 68Ga-PSMA-11 PET/CT combining ADC value of MRI in the diagnosis of naive prostate cancer: Perspective of radiologist. Medicine (Baltimore) 2020; 99:e20755. [PMID: 32898989 PMCID: PMC7478544 DOI: 10.1097/md.0000000000020755] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
Ga-PSMA-11 positron emission computed tomography /computed tomography (PET/CT) is more sensitive than magnetic resonance imaging (MRI) in detecting prostate cancer (PCa). We evaluated the value of Ga-PSMA-11 PET/CT with MRI in treatment-naive PCa.This retrospective study was approved by the hospital ethics committee. The MRI and Ga-PSMA-11 PET/CT imaging data of 63 cases of highly suspected PCa were enrolled in this study. The SUVmax and apparent diffusion coefficient (ADC), and their ratio, were assessed as diagnostic markers to distinguish PCa from benign disease.There were 107 prostate lesions detected in 63 cases. Forty cases with 64 malignant primary lesions were confirmed PCa, whereas 23 cases had 43 benign lesions. PSMA-avid lesions correlated with hypointense signal on ADC maps and hyperintense signal on diffusion-weighted imaging. The ADC of PCa was lower than that of benign lesions, and SUVmax and SUVmax/ADC of PCa was higher than that of benign lesions (P < .01). ADC had significant negative correlation with Gleason score (GS) and SUVmax, SUVmax, and SUVmax/ADC positively correlated with GS. From ROC analysis, we established cutoff values of ADC, SUVmax, and SUVmax/ADC at 1.02 × 10mm/s, 11.72, and 12.35, respectively, to differentiate PCa from benign lesions. The sensitivity, specificity, and AUC were 90.6%, 58.1%, and 0.816 for ADC, 67.2%, 97.7%, and 0.905 for SUVmax, and 81.2%, 88.4%, and 0.929 for SUVmax/ADC, respectively.Ga-PSMA-11 PET/CT combined with MRI offers higher diagnostic efficacy in the detection of PCa than either modality alone.
Collapse
Affiliation(s)
| | - Fei Yu
- Department of Nuclear Medicine
| | - Lulu Yang
- Department of Pathology, Nanjing First Hospital, Nanjing Medical University
| | | | | | | | - Hongqian Guo
- Department of Urology, Drum Tower Hospital, Medical School of Nanjing University, Nanjing University
| | - Hongbin Sun
- Department of Urology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China
| | | |
Collapse
|