1
|
Soeterik TFW, Heetman JG, Hermsen R, Wever L, Lavalaye J, Vinken M, Bahler CD, Yong C, Tann M, Kesch C, Seifert R, Telli T, Chiu PKF, Wu KK, Zattoni F, Evangelista L, Segalla E, Barone A, Ceci F, Rajwa P, Marra G, Mazzone E, Van Basten JPA, Van Melick HHE, Van den Bergh RCN, Gandaglia G. The association of quantitative PSMA PET parameters with pathologic ISUP grade: an international multicenter analysis. Eur J Nucl Med Mol Imaging 2024; 52:314-325. [PMID: 39088067 PMCID: PMC11599533 DOI: 10.1007/s00259-024-06847-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Accepted: 07/10/2024] [Indexed: 08/02/2024]
Abstract
PURPOSE To assess if PSMA PET quantitative parameters are associated with pathologic ISUP grade group (GG) and upgrading/downgrading. METHODS PCa patients undergoing radical prostatectomy with or without pelvic lymph node dissection staged with preoperative PSMA PET at seven referral centres worldwide were evaluated. PSMA PET parameters which included SUVmax, PSMAvolume, and total PSMA accumulation (PSMAtotal) were collected. Multivariable logistic regression evaluated the association between PSMA PET quantified parameters and surgical ISUP GG. Decision-tree analysis was performed to identify discriminative thresholds for all three parameters related to the five ISUP GGs The ROC-derived AUC was used to determine whether the inclusion of PSMA quantified parameters improved the ability of multivariable models to predict ISUP GG ≥ 4. RESULTS A total of 605 patients were included. Overall, 2%, 37%, 37%, 10% and 13% patients had pathologic ISUP GG1, 2, 3, 4, and 5, respectively. At multivariable analyses, all three parameters SUVmax, PSMAvolume and PSMAtotal were associated with GG ≥ 4 at surgical pathology after accounting for PSA and clinical T stage based on DRE, hospital and radioligand (all p < 0.05). Addition of all three parameters significantly improved the discrimination of clinical models in predicting GG ≥ 4 from 68% (95%CI 63 - 74) to 74% (95%CI 69 - 79) for SUVmax, 72% (95%CI 67 - 76) for PSMAvolume, 74% (70 - 79) for PSMAtotal and 75% (95%CI 71 - 80) when all parameters were included (all p < 0.05). Decision-tree analysis resulted in thresholds that discriminate between GG (SUVmax 0-6.5, 6.5-15, 15-28, > 28, PSMAvol 0-2, 2-9, 9-20 and > 20 and PSMAtotal 0-12, 12-98 and > 98). PSMAvolume was significantly associated with GG upgrading (OR 1.03 95%CI 1.01 - 1.05). In patients with biopsy GG1-3, PSMAvolume ≥ 2 was significantly associated with higher odds for upgrading to ISUP GG ≥ 4, compared to PSMAvolume < 2 (OR 6.36, 95%CI 1.47 - 27.6). CONCLUSION Quantitative PSMA PET parameters are associated with surgical ISUP GG and upgrading. We propose clinically relevant thresholds of these parameters which can improve in PCa risk stratification in daily clinical practice.
Collapse
Affiliation(s)
- Timo F W Soeterik
- Department of Urology, St. Antonius Hospital, Koekoekslaan 1, 3435 CM, Nieuwegein, The Netherlands.
- Department of Radiation Oncology, University Medical Center Utrecht, Utrecht, The Netherlands.
| | - Joris G Heetman
- Department of Urology, St. Antonius Hospital, Koekoekslaan 1, 3435 CM, Nieuwegein, The Netherlands
| | - Rick Hermsen
- Department of Nuclear Medicine, Canisius Wilhelmina Hospital, Nijmegen, The Netherlands
| | - Lieke Wever
- Department of Urology, St. Antonius Hospital, Koekoekslaan 1, 3435 CM, Nieuwegein, The Netherlands
| | - Jules Lavalaye
- Department of Nuclear Medicine, St. Antonius Hospital, Nieuwegein/Utrecht, The Netherlands
| | - Maarten Vinken
- Department of Nuclear Medicine, Canisius Wilhelmina Hospital, Nijmegen, The Netherlands
| | - Clinton D Bahler
- Department of Urology, Indiana University Medical Center, Indianapolis, IN, USA
| | - Courtney Yong
- Department of Urology, Indiana University Medical Center, Indianapolis, IN, USA
| | - Mark Tann
- Department of Radiology and Imaging Sciences, Indiana University Medical Center, Indianapolis, IN, USA
| | - Claudia Kesch
- Department of Urology, University Hospital Essen, Essen German Cancer Consortium (DKTK) University Hospital Essen, Essen, Germany
| | - Robert Seifert
- Department of Nuclear Medicine, Inselspital, Bern University Hospital, Bern, Switzerland
- Department of Nuclear Medicine, University Hospital Essen, Essen, Germany
| | - Tugce Telli
- Department of Nuclear Medicine, University Hospital Essen, Essen, Germany
| | - Peter Ka-Fung Chiu
- S. H. Ho Urology Centre, Department of Surgery, The Chinese University of Hong Kong, Hong Kong, China
| | - Kwan Kit Wu
- Department of Nuclear Medicine and PET, Hong Kong Sanatorium and Hospital, Hong Kong, China
| | - Fabio Zattoni
- Department of Surgery, Oncology, and Gastroenterology, Urological Unit, University of Padova, Padua, Italy
| | - Laura Evangelista
- Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Milan, Italy
- Division of Nuclear Medicine, IRCCS Humanitas Research Hospital, Milan, Italy
| | - Emma Segalla
- Department of Surgery, Oncology, and Gastroenterology, Urological Unit, University of Padova, Padua, Italy
| | - Antonio Barone
- Division of Nuclear Medicine and Theranostics, IEO European Institute of Oncology, IRCCS, Milan, Italy
| | - Francesco Ceci
- Division of Nuclear Medicine and Theranostics, IEO European Institute of Oncology, IRCCS, Milan, Italy
| | - Pawel Rajwa
- Department of Urology, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria
- Department of Urology, Medical University of Silesia, Zabrze, Poland
| | - Giancarlo Marra
- University Hospital S Giovanni Battista, Azienda Ospedaliero Universitaria Città Della Salute E Della Scienza Di Torino, Turin, Italy
| | - Elio Mazzone
- Division of Oncology/Unit of Urology, Soldera Prostate Cancer Lab, URI, IRCCS San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | | | - Harm H E Van Melick
- Department of Urology, St. Antonius Hospital, Koekoekslaan 1, 3435 CM, Nieuwegein, The Netherlands
| | - Roderick C N Van den Bergh
- Department of Urology, St. Antonius Hospital, Koekoekslaan 1, 3435 CM, Nieuwegein, The Netherlands
- Department of Urology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Giorgio Gandaglia
- Division of Oncology/Unit of Urology, Soldera Prostate Cancer Lab, URI, IRCCS San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| |
Collapse
|
2
|
Ades A, Holt T, Rhee H, Webb M, Mehdi AM, Ratnayake G. Prognostic value of PSMA PET in predicting long-term biochemical control following curative intent treatment for prostate cancer. J Med Imaging Radiat Oncol 2024. [PMID: 39394722 DOI: 10.1111/1754-9485.13787] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2024] [Accepted: 09/15/2024] [Indexed: 10/14/2024]
Abstract
INTRODUCTION The aim of this study is to investigate the prognostic value of 68Ga-labelled prostate-specific membrane antigen (PSMA) positron emission tomography (PET) metrics in predicting long-term biochemical failure-free survival (BFFS) following curative intent treatment for prostate cancer. METHODS We completed a prospective study that followed men who had PSMA PET for staging of newly diagnosed prostate cancer between 2015 and 2017 who went on to have curative intent treatment with radiotherapy (RT) or radical prostatectomy (RP). PSMA PET CT imaging was reported and the intraprostatic maximum standardised uptake value (SUVmax) was recorded. The primary outcome was BFFS. Statistical analysis included descriptive statistics, Cox proportional hazards (PH) models, Kaplan-Meier survival analysis and a regression tree structured method. RESULTS A total of 183 men were included in the analysis with a median age of 66 years and the majority of patients (55.2%) had ISUP grade 1-3 disease. All patients had PSMA PET staging prior to curative intent treatment with RP (66.1%) or external beam radiotherapy (33.9%). PSMA-avid pelvic nodes were present in 26 patients but were not associated with worse biochemical control. A PSMA SUVmax of the prostate primary greater than the median (>5.6) was associated with a lower BFFS (HR: 4.4, 95% CI 1.42-3.72, P = 0.01). A multivariate Cox model incorporating initial biopsy grade, age and PSMA SUVmax showed that PSMA SUVmax was an independent predictor of BFFS. The RT-structured method identified an optimal threshold of 6.8 for PSMA SUVmax, above which patients with ISUP 1-3 disease had a significantly worse BFFS. CONCLUSION PSMA SUVmax is a strong predictor of BFFS in patients with non-metastatic prostate cancer who underwent curative intent treatment. Patients with low-risk disease on biopsy (ISUP 1-3) but high PSMA SUVmax may have biochemical failure risk analogous to higher-risk disease (ISUP 4-5). These findings allow for further risk stratification and prognosis of patients with newly diagnosed prostate cancer planned for definitive treatment.
Collapse
Affiliation(s)
- Angus Ades
- Radiation Oncology Princess Alexandra Hospital Raymond Terrace, Brisbane, Queensland, Australia
| | - Tanya Holt
- Radiation Oncology Princess Alexandra Hospital Raymond Terrace, Brisbane, Queensland, Australia
- The University of Queensland, Brisbane, Queensland, Australia
| | - Handoo Rhee
- Department of Urology, Princess Alexandra Hospital, Brisbane, Queensland, Australia
- Australian Prostate Cancer Research Centre (APCRC-Q), Brisbane, Queensland, Australia
| | - Myles Webb
- Queensland X-Ray, Brisbane, Queensland, Australia
| | - Ahmed M Mehdi
- Queensland Cyber Infrastructure Foundation Ltd, QCIF Facility for Advanced Bioinformatics, Brisbane, Queensland, Australia
| | - Gishan Ratnayake
- Radiation Oncology Princess Alexandra Hospital Raymond Terrace, Brisbane, Queensland, Australia
- The University of Queensland, Brisbane, Queensland, Australia
| |
Collapse
|
3
|
Luo L, Wang Z, Wang X, Gao J, Zheng A, Duan X. Fluorine-18 prostate-specific membrane antigen-1007-avid indeterminate bone lesions in prostate cancer: clinical and PET/CT features to predict outcomes and prognosis. Clin Radiol 2024; 79:346-353. [PMID: 38216370 DOI: 10.1016/j.crad.2023.12.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 11/29/2023] [Accepted: 12/11/2023] [Indexed: 01/14/2024]
Abstract
AIM To determine clinical and fluorine-18 prostate-specific membrane antigen-1007 (18F-PSMA-1007) integrated positron-emission tomography (PET)/computed tomography (CT) features that could be used to interpret indeterminate bone lesions (IBLs) and assess the prognosis of prostate cancer (PCa) in patients with IBLs. MATERIALS AND METHODS Consecutive patients who underwent PSMA PET/CT were analysed retrospectively. IBLs were identified as benign or malignant based on follow-up imaging and clinical management. Lesion- and patient-based assessments were performed to define features predictive of bone lesion results and determine clinical risk. Patients' prognosis was analysed based on clinical characteristics, including prostate-specific antigen (PSA) and alkaline phosphatase (ALP), respectively. RESULTS A total of 105 patients (mean age ± SD, 72.1 ± 8 years) were evaluated and 158 IBLs were identified. Fifty-three (33.5%), 36 (22.8%), and 69 (43.7%) IBLs were benign, malignant, and equivocal, respectively. Variables including location, maximum standard uptake value (SUVmax), and lymph node metastases (LNM) were related to the benignancy or malignancy of IBLs (p=0.046, p<0.001 and p<0.001, respectively). Regression analysis indicated that LNM, SUVmax, and location of IBLs could be predictors of lesion interpretation (p<0.001, p=0.002 and p=0.035). Patients with benign IBLs experienced the most considerable decreases in PSA and ALP levels. CONCLUSIONS LNM, SUVmax, and location may contribute to IBL interpretation. A rapid decrease in PSA and ALP levels might suggest a better prognosis for patients with benign IBLs.
Collapse
Affiliation(s)
- L Luo
- PET/CT Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Z Wang
- PET/CT Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - X Wang
- PET/CT Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - J Gao
- PET/CT Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - A Zheng
- PET/CT Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - X Duan
- PET/CT Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
| |
Collapse
|
4
|
Li Y, Chen J, Wang X, Yang P, Yang J, Zhao Q, Li J. Predictive value of volumetric parameters based on 18F-PSMA-1007 PET/CT for prostate cancer metastasis. Front Oncol 2024; 14:1335205. [PMID: 38469242 PMCID: PMC10925687 DOI: 10.3389/fonc.2024.1335205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Accepted: 02/05/2024] [Indexed: 03/13/2024] Open
Abstract
Purpose of the report To explore the value of 18F-labeled prostate-specific membrane antigen (PSMA-1007) positron emission tomography (PET)/computed tomography (CT), the maximum standardized uptake value (SUVmax) of the primary tumor, prostate PSMA-tumor volume (PSMA-TVp), and prostate total lesion PSMA (TL-PSMAp) for predicting prostate cancer (PCa) metastasis and follow-up evaluation in primary PCa lesions. Materials and methods 18F-PSMA-1007 PET/CT data of 110 consecutive newly diagnosed PCa patients were retrospectively analyzed. Patients were divided into non-metastatic, oligometastatic, and extensive metastatic groups. The predictive power was assessed using the receiver operating characteristic curve. Multi-group one-way analysis of variance and post-hoc tests were used to compare the groups. Patients were monitored post-therapy to evaluate treatment effectiveness. Results Among the 110 patients, 66.4% (73) had metastasis (29 oligometastatic, 44 extensive metastasis). AUCs for Gleason score (GS), total prostate-specific antigen(TPSA), SUVmax, TL-PSMAp, and PSMA-TVp were 0.851, 0.916, 0.834, 0.938, and 0.923, respectively. GS, TPSA, SUVmax, TL-PSMAp, and PSMA-TVp were significantly different among the groups. In the post-hoc tests, differences in GS, TPSA, SUVmax, TL-PSMAp, and PSMA-TVp between the non-metastatic and oligometastatic groups and non-metastatic and extensive metastatic groups were significant (P<0.010). Differences in TL-PSMAp and PSMA-TVp between oligometastatic and extensive metastatic groups were significant (P=0.039 and 0.015, respectively), while those among GS, TPSA, and SUVmax were not. TL-PSMAp and PSMA-TVp distinguished between oligometastatic and extensive metastases, but GS, TPSA, and SUVmax did not. In individuals with oligometastasis, the implementation of active treatment for both primary and metastatic lesions may result in a more favorable prognosis. Conclusions 18F-PSMA-1007 PET/CT volumetric parameters PSMA-TVp and TL-PSMAp can predict PCa oligometastasis.
Collapse
Affiliation(s)
- Yanmei Li
- Department of Nuclear Medicine, General Hospital of Ningxia Medical University, Yinchuan, China
| | - Jian Chen
- College of Clinical Medicine, Ningxia Medical University, Yinchuan, China
| | - Xiaojuan Wang
- Department of Radiology, General Hospital of Ningxia Medical University, Yinchuan, China
| | - Pengfei Yang
- Department of Medical Instrumentation, General Hospital of Ningxia Medical University, Yinchuan, China
| | - Jiqin Yang
- Department of Nuclear Medicine, General Hospital of Ningxia Medical University, Yinchuan, China
| | - Qian Zhao
- Department of Nuclear Medicine, General Hospital of Ningxia Medical University, Yinchuan, China
| | - Juan Li
- Department of Nuclear Medicine, General Hospital of Ningxia Medical University, Yinchuan, China
| |
Collapse
|
5
|
Singh MM, Verma S, Kakkar L, Deswal S, Thakur PB. Metastatic Superscan in 18F PSMA PET/CT of a Patient with Prostate Carcinoma. Mol Imaging Radionucl Ther 2024; 33:38-39. [PMID: 38390777 PMCID: PMC10899739 DOI: 10.4274/mirt.galenos.2023.68815] [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: 02/24/2024] Open
Abstract
A biopsy-proven patient with prostate carcinoma aged 70 years was referred to the department of nuclear medicine for radionuclide-based therapy. His prostate-specific antigen levels were >1000 ng/mL, and prostatic magnetic resonance imaging showed an enlarged prostate with a heterogeneous signal and size 3.8x3.7x3.5 cm with few small heterogeneous nodular signals in the transition zone. He was scheduled for 18F prostate-specific membrane antigen (PSMA) positron emission tomography/computed tomography (PET/CT) scan before therapy. 18F PSMA PET/CT revealed PSMA-expressing prostate lesions (maximum standardized uptake value ~10.2) with extension into the urinary bladder along with bilateral supraclavicular, mediastinal, retrocrural, retroperitoneal, and pelvic lymph nodes and sclerotic lesions in the entire axial and appendicular skeleton.
Collapse
Affiliation(s)
- Man Mohan Singh
- Dr. Ram Manohar Lohia Institute of Medical Sciences, Department of Nuclear Medicine, Lucknow, India
| | - Shashwat Verma
- Dr. Ram Manohar Lohia Institute of Medical Sciences, Department of Nuclear Medicine, Lucknow, India
| | - Lavish Kakkar
- Dr. Ram Manohar Lohia Institute of Medical Sciences, Department of Nuclear Medicine, Lucknow, India
| | - Satyawati Deswal
- Dr. Ram Manohar Lohia Institute of Medical Sciences, Department of Nuclear Medicine, Lucknow, India
| | - Priyamedha Bose Thakur
- Dr. Ram Manohar Lohia Institute of Medical Sciences, Department of Nuclear Medicine, Lucknow, India
| |
Collapse
|
6
|
Qiao Z, Wang S, Wang H, He B, Shi Z, Zhou H, Yang Q, Chen X, You Z, Zhao J, Wang H. Diagnostic capability of 18F-PSMA PET-MRI and pelvic MRI plus bone scan in treatment-naive prostate cancer: a single-center paired validating confirmatory study. Int J Surg 2024; 110:87-94. [PMID: 37738021 PMCID: PMC10793767 DOI: 10.1097/js9.0000000000000787] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Accepted: 09/10/2023] [Indexed: 09/23/2023]
Abstract
BACKGROUND Radical prostatectomy with pelvic lymph node dissection for the treatment of high-risk localized prostate cancer (PCa) results in long-term benefits in selected patients. But insufficient sensitivity of conventional examinations which are pelvic MRI and bone scan, limits the diagnosis of bone and lymph node metastasis of PCa. This affects the surgical management strategy of a large number of patients. The purpose of this study was to investigate whether 18F-prostate-specific membrane antigen (PSMA) PET-MRI could improve the clinical detection of PCa metastases compared with the conventional pelvic MRI plus bone scan. MATERIALS AND METHODS From April 2020 to April 2023, we prospectively enroled 472 patients with histologically proven PCa in our centre, and 120 patients underwent 18F-PSMA PET-MRI, multiparametric MRI, and bone scan before laparoscopic radical prostatectomy plus lymph node dissection. The accuracy of imaging results in detecting lymph node and bone metastatic lesions was compared between PSMA PET-MRI and MRI plus bone scan. RESULTS In diagnosing lymph node metastasis, PSMA PET-MRI had an area under the curve (AUC) of 0.844 (95% CI: 0.738-0.949, P < 0.001), sensitivity and specificity of 75% and 96%, which performed apparently better than MRI [AUC=0.615 (95% CI: 0.480-0.750, P =0.073)]. PSMA PET-MRI showed excellent expression in the diagnosis of bone metastases, with an AUC of 0.910 (95% CI: 0.840-0.981, P <0.001) compared to 0.700 (95% CI: 0.577-0.823, P =0.001) in bone scanning. PSMA PET-MRI also had higher sensitivity than bone scanning (90% vs. 43%), while lower specificity (92% vs. 97%). CONCLUSION PSMA PET-MRI is superior to conventional imaging at diagnosing metastases in lymph nodes and bones in PCa and can provide a more accurate stagement.
Collapse
Affiliation(s)
| | | | - Haiyan Wang
- Nuclear Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
| | | | | | | | | | - Xing Chen
- Nuclear Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
| | - Zhiwen You
- Nuclear Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
| | - Jun Zhao
- Nuclear Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
| | | |
Collapse
|
7
|
Luo L, Zheng A, Chang R, Li Y, Gao J, Wang Z, Duan X. Evaluating the value of 18F-PSMA-1007 PET/CT in the detection and identification of prostate cancer using histopathology as the standard. Cancer Imaging 2023; 23:108. [PMID: 37924154 PMCID: PMC10623763 DOI: 10.1186/s40644-023-00627-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Accepted: 10/19/2023] [Indexed: 11/06/2023] Open
Abstract
BACKGROUND Prostate-specific membrane antigen (PSMA) PET/CT is a highly regarded radionuclide imaging modality for prostate cancer (PCa). This study aimed to evaluate the diagnostic performance of 18F-PSMA-1007 PET/CT in detecting intraprostatic lesions of PCa using radical prostatectomy (RP) specimens as a reference standard and to establish an optimal maximum standardized uptake value (SUVmax) cutoff for distinguishing between PCa and non-PCa lesions. METHODS We retrospectively collected 117 patients who underwent 18F-PSMA-1007 PET/CT before RP. The uptake of the index tumor and contralateral non-PCa lesion was assessed. Histopathology of RP specimens was used as the gold standard. Kappa test was used to evaluate the consistency of preoperative PSMA PET/CT staging and postoperative pathological staging. Finally, an SUVmax cutoff value was identified by receiver operating characteristic (ROC) curve analysis to distinguish PCa lesions from non-PCa lesions. A prospective cohort including 76 patients was used to validate the results. RESULTS The detection rate of 18F-PSMA-1007 PET/CT for prostate cancer was 96.6% (113/117). 18F-PSMA-1007 had a sensitivity of 91.2% and a positive predictive value (PPV) of 89.8% for the identification of intraprostatic lesions. The consistency test (Kappa = 0.305) indicated poor agreement between the pathologic T-stage and PSMA PET/CT T-stage. Based on ROC curve analysis, the appropriate SUVmax to diagnose PCa lesions was 8.3 (sensitivity of 71.3% and specificity 96.8%) with an area under the curve (AUC) of 0.93 (P < 0.001). This SUVmax cutoff discriminated PCa lesions from non-PCa lesions with a sensitivity of 74.4%, a specificity of 95.8% in the prospective validation group. CONCLUSIONS 18F-PSMA-1007 PET/CT demonstrated excellent performance in detecting PCa. An optimal SUVmax threshold (8.3) could be utilized to identify lesions of PCa by 18F-PSMA-1007 PET/CT. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT04521894, Registered: August 17, 2020.
Collapse
Affiliation(s)
- Liang Luo
- PET/CT Center, The First Affiliated Hospital of Xi'an Jiaotong University, No. 277 Yanta West Road, Shaanxi Province, Xi'an, 710061, China
| | - Anqi Zheng
- PET/CT Center, The First Affiliated Hospital of Xi'an Jiaotong University, No. 277 Yanta West Road, Shaanxi Province, Xi'an, 710061, China
| | - Ruxi Chang
- PET/CT Center, The First Affiliated Hospital of Xi'an Jiaotong University, No. 277 Yanta West Road, Shaanxi Province, Xi'an, 710061, China
| | - Yunxuan Li
- PET/CT Center, The First Affiliated Hospital of Xi'an Jiaotong University, No. 277 Yanta West Road, Shaanxi Province, Xi'an, 710061, China
| | - Jungang Gao
- PET/CT Center, The First Affiliated Hospital of Xi'an Jiaotong University, No. 277 Yanta West Road, Shaanxi Province, Xi'an, 710061, China
| | - Zhuonan Wang
- PET/CT Center, The First Affiliated Hospital of Xi'an Jiaotong University, No. 277 Yanta West Road, Shaanxi Province, Xi'an, 710061, China.
| | - Xiaoyi Duan
- PET/CT Center, The First Affiliated Hospital of Xi'an Jiaotong University, No. 277 Yanta West Road, Shaanxi Province, Xi'an, 710061, China.
| |
Collapse
|
8
|
Wang T, Zhao L, Qiao W, Sun N, Zhao J, Xing Y. The efficacy of 99mTc-HYNIC-PSMA SPECT/CT in detecting primary lesions and metastasis in newly diagnosed prostate cancer. Front Oncol 2023; 13:1165694. [PMID: 37333816 PMCID: PMC10272716 DOI: 10.3389/fonc.2023.1165694] [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: 02/14/2023] [Accepted: 05/19/2023] [Indexed: 06/20/2023] Open
Abstract
Purpose Compared with PET/CT or PET/MRI, SPECT/CT is cheaper and more readily accessible. This study was designed to investigate the efficacy of 99mTc-HYNIC-PSMA SPECT/CT in detecting primary tumors and metastases in patients with newly diagnosed prostate cancer (PCa). Methods A retrospective analysis of 31 patients with pathologically proven PCa was performed at Shanghai General Hospital from November 2020 to November 2021. Planar whole-body imaging was performed on all patients with a SPECT/CT scan of PSMA-positive regions 3-4 h after intravenous injection of 740 MBq 99mTc-HYNIC-PSMA. Positive PSMA uptake lesions were evaluated, and SUVmean and SUVmax were measured in each lesion. Associations between SPECT/CT parameters and clinicopathologic factors (tPSA and Gleason Score) were analyzed. The diagnostic capability of SPECT/CT parameters, tPSA, and GS in distant metastatic detection was evaluated by logistic regression. Results The SUVmean and SUVmax of the high-risk stratification subgroups (tPSA>20 ng/ml, GS ≥8, and tPSA >20 ng/ml and GS≥8) were higher than those of the low-moderate risk stratification subgroups, with sensitivities of 92% and 92%, respectively. Neither SPECT/CT parameters (SUVmean, SUVmax) nor clinicopathologic factors (tPSA, GS) had high sensitivity (80%, 90%, 80%, and 90%, respectively, P <0.05) in distant metastatic prediction. For both the guideline tPSA level (20 ng/ml) and the cut-off level (84.3 ng/ml), the difference in the distant metastasis detection rate between the low predicted tPSA group and the high predicted tPSA group was statistically significant (0% vs. 47.62%, P = 0.005; 9.09% vs. 88.89%, P = 0.000, respectively). Twenty patients with pathological 99mTc-PSMA avid only in the prostate beds underwent radical prostatectomy. Seven of them underwent lymph node dissection, a total of 35 lymph nodes were removed, and no lymph nodes were detected with metastasis, which was consistent with 99mTc-HYNIC-PSMA SPECT/CT. Conclusion 99mTc-HYNIC-PSMA SPECT/CT is effective in the risk stratification and distant metastasis detection of primary PCa patients. It is of great value in guiding treatment strategies.
Collapse
Affiliation(s)
| | | | | | | | | | - Yan Xing
- *Correspondence: Jinhua Zhao, ; Yan Xing,
| |
Collapse
|
9
|
Zheng A, Wang Z, Luo L, Chang R, Gao J, Wang B, Duan X. The prognostic value of 18F-PSMA-1007 PET/CT in predicting pathological upgrading of newly diagnosed prostate cancer from systematic biopsy to radical prostatectomy. Front Oncol 2023; 13:1169189. [PMID: 37234988 PMCID: PMC10206242 DOI: 10.3389/fonc.2023.1169189] [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: 02/19/2023] [Accepted: 04/20/2023] [Indexed: 05/28/2023] Open
Abstract
Objective This study aimed to evaluate predictors for upgrading of newly diagnosed prostate cancer from systematic biopsy (SB) to radical prostatectomy (RP) using fluorine-18 prostate-specific membrane antigen 1007 (18F-PSMA-1007) positron emission tomography/computed tomography (PET/CT) and association with clinical parameters. Materials and methods We retrospectively collected data from biopsy-confirmed prostate cancer (PCa) patients who underwent 18F-PSMA-1007 PET/CT prior to RP from July 2019 and October 2022. Imaging characteristics derived from 18F-PSMA-1007 PET/CT and clinical parameters were compared in patients of pathological upgrading and concordance subgroups. Univariable and multivariable logistic regressions were performed to analyze factors predicting histopathological upgrading from SB to RP specimens. Discrimination ability of independent predictors was further evaluated by receiver operating characteristic (ROC) analysis with corresponding area under the curve (AUC). Results Pathological upgrading occurred in 26.97% (41/152) PCa patients, and 23.03% (35/152) of all patients experienced pathological downgrading. Concordance rate reached 50% (76/152). International Society of Urological Pathology grade group (ISUP GG) 1(77.78%) and ISUP GG 2 (65.22%) biopsies were related with the highest rate of upgrading. Multivariable logistic regression analyses showed that prostate volume (OR= 0.933; 95% CI, 0.887-0.982; p = 0.008), ISUP GG 1 vs. 4 (OR= 13.856; 95% CI: 2.467-77.831; p = 0.003), and total uptake of PSMA-avid lesions (PSMA-TL) (OR = 1.003; 95% CI, 1.000-1.006; p = 0.029) were found to be independent risk factors of pathological upgrading after RP. The AUCs and corresponding sensitivity and specificity of the independent predictors of synthesis for upgrading were 0.839, 78.00%, and 83.30% respectively, which showed good discrimination capacity. Conclusion 18F-PSMA-1007 PET/CT may help to predict pathological upgrading between biopsy and RP specimens, particularly for ISUP GG 1 and ISUP GG 2 patients with higher PSMA-TL and smaller prostate volume.
Collapse
|
10
|
Dong S, Li Y, Chen J, Li Y, Yang P, Li J. 18F-PSMA-1007 PET/CT-derived semi-quantitative parameters for risk stratification of newly diagnosed prostate cancer. Front Oncol 2022; 12:1025930. [PMID: 36568229 PMCID: PMC9768475 DOI: 10.3389/fonc.2022.1025930] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Accepted: 11/14/2022] [Indexed: 12/12/2022] Open
Abstract
Purpose This study aimed to assess the value of 18F-PSMA-1007 positron emission tomography/computed tomography (PET/CT)-derived semi-quantitative parameters of primary tumor for risk stratification of newly diagnosed prostate cancer (PCa). Methods Sixty patients referred for 18F-PSMA-1007 PET/CT imaging for primary PCa were retrospectively analyzed and classified into the low-intermediate-risk (LIR) or high-risk (HR) group. The maximum standardized uptake value (SUVmax) of primary tumor, prostate total lesion PSMA (TL-PSMAp), and prostate PSMA-tumor volume (PSMA-TVp) were measured, and group differences were evaluated using the Mann-Whitney U test. Spearman's correlation was performed to assess the correlation between the above parameters with prostate-specific antigen (PSA) levels and Gleason score (GS). Receiver operating characteristic (ROC) curve analysis was used to determine optimal cut-off values for SUVmax, TL-PSMAp, and PSMA-TVp to identify high-risk PCa and compare diagnostic efficacy. Results Among 60 patients, 46 were assigned to the HR group and 16 to the LIR group. In all patients, SUVmax, TL-PSMAp, and PSMA-TVp were moderately correlated with pre-treatment PSA values (r = 0.411, p = 0.001; r = 0.663, p < 0.001; and r = 0.549, p < 0.001, respectively). SUVmax and TL-PSMAp were moderately correlated with GS (r = 0.457 and r = 0.448, respectively; p < 0.001), while PSMA-TVp was weakly correlated with GS (r = 0.285, p = 0.027). In the ROC curve analysis, the optimal cut-off values of SUVmax, TL-PSMAp, and PSMA-TVp for identifying high-risk PCa were 9.61, 59.62, and 10.27, respectively, and the areas under the operating curve were 0.828, 0.901, and 0.809, respectively. The sensitivities of SUVmax, TL-PSMAp, and PSMA-TVp were 91.03%, 71.74%, and 63.04%, respectively, and the specificities were 71.43%, 100.00%, and 92.86%, respectively. Conclusions TL-PSMAp had a superior ability to identify high-risk PCa. The semi-quantitative parameters of primary tumor on 18F-PSMA-1007 PET/CT imaging can be an objective imaging reference index to determine PCa risk stratification.
Collapse
Affiliation(s)
- Siying Dong
- Department of Nuclear Medicine, General Hospital of Ningxia Medical University, Yinchuan, China,College of Clinical Medicine, Ningxia Medical University, Yinchuan, China
| | - Yanmei Li
- Department of Nuclear Medicine, General Hospital of Ningxia Medical University, Yinchuan, China,*Correspondence: Juan Li, ; Yanmei Li,
| | - Jian Chen
- Department of Nuclear Medicine, General Hospital of Ningxia Medical University, Yinchuan, China,College of Clinical Medicine, Ningxia Medical University, Yinchuan, China
| | - Yongliang Li
- Department of Nuclear Medicine, General Hospital of Ningxia Medical University, Yinchuan, China,College of Clinical Medicine, Ningxia Medical University, Yinchuan, China
| | - Pengfei Yang
- Department of Nuclear Medicine, General Hospital of Ningxia Medical University, Yinchuan, China
| | - Juan Li
- Department of Nuclear Medicine, General Hospital of Ningxia Medical University, Yinchuan, China,*Correspondence: Juan Li, ; Yanmei Li,
| |
Collapse
|
11
|
Spohn SKB, Farolfi A, Schandeler S, Vogel MME, Ruf J, Mix M, Kirste S, Ceci F, Fanti S, Lanzafame H, Serani F, Gratzke C, Sigle A, Combs SE, Bernhardt D, Gschwend JE, Buchner JA, Trapp C, Belka C, Bartenstein P, Unterrainer L, Unterrainer M, Eiber M, Nekolla SG, Schiller K, Grosu AL, Schmidt-Hegemann NS, Zamboglou C, Peeken JC. The maximum standardized uptake value in patients with recurrent or persistent prostate cancer after radical prostatectomy and PSMA-PET-guided salvage radiotherapy-a multicenter retrospective analysis. Eur J Nucl Med Mol Imaging 2022; 50:218-227. [PMID: 35984452 PMCID: PMC9668780 DOI: 10.1007/s00259-022-05931-5] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Accepted: 08/01/2022] [Indexed: 11/28/2022]
Abstract
PURPOSE This study aims to evaluate the association of the maximum standardized uptake value (SUVmax) in positron-emission tomography targeting prostate-specific membrane antigen (PSMA-PET) prior to salvage radiotherapy (sRT) on biochemical recurrence free survival (BRFS) in a large multicenter cohort. METHODS Patients who underwent 68 Ga-PSMA11-PET prior to sRT were enrolled in four high-volume centers in this retrospective multicenter study. Only patients with PET-positive local recurrence (LR) and/or nodal recurrence (NR) within the pelvis were included. Patients were treated with intensity-modulated-sRT to the prostatic fossa and elective lymphatics in case of nodal disease. Dose escalation was delivered to PET-positive LR and NR. Androgen deprivation therapy was administered at the discretion of the treating physician. LR and NR were manually delineated and SUVmax was extracted for LR and NR. Cox-regression was performed to analyze the impact of clinical parameters and the SUVmax-derived values on BRFS. RESULTS Two hundred thirty-five patients with a median follow-up (FU) of 24 months were included in the final cohort. Two-year and 4-year BRFS for all patients were 68% and 56%. The presence of LR was associated with favorable BRFS (p = 0.016). Presence of NR was associated with unfavorable BRFS (p = 0.007). While there was a trend for SUVmax values ≥ median (p = 0.071), SUVmax values ≥ 75% quartile in LR were significantly associated with unfavorable BRFS (p = 0.022, HR: 2.1, 95%CI 1.1-4.6). SUVmax value in NR was not significantly associated with BRFS. SUVmax in LR stayed significant in multivariate analysis (p = 0.030). Sensitivity analysis with patients for who had a FU of > 12 months (n = 197) confirmed these results. CONCLUSION The non-invasive biomarker SUVmax can prognosticate outcome in patients undergoing sRT and recurrence confined to the prostatic fossa in PSMA-PET. Its addition might contribute to improve risk stratification of patients with recurrent PCa and to guide personalized treatment decisions in terms of treatment intensification or de-intensification. This article is part of the Topical Collection on Oncology-Genitourinary.
Collapse
Affiliation(s)
- Simon K B Spohn
- Department of Radiation Oncology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Robert-Koch-Straße 3, 79106, Freiburg, Germany.
- German Cancer Consortium (DKTK), Partner Site Freiburg, Freiburg, Germany.
- Berta-Ottenstein-Programme, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
| | - Andrea Farolfi
- Nuclear Medicine, IRCCS Azienda Ospedaliero-Universitaria Di Bologna, Bologna, Italy
| | - Sarah Schandeler
- Department of Radiation Oncology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Robert-Koch-Straße 3, 79106, Freiburg, Germany
| | - Marco M E Vogel
- Department of Radiation Oncology, Klinikum Rechts Der Isar, Technical University of Munich, Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany
| | - Juri Ruf
- Department of Nuclear Medicine, Faculty of Medicine, Medical Center, University of Freiburg, Freiburg, Germany
| | - Michael Mix
- Department of Nuclear Medicine, Faculty of Medicine, Medical Center, University of Freiburg, Freiburg, Germany
| | - Simon Kirste
- Department of Radiation Oncology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Robert-Koch-Straße 3, 79106, Freiburg, Germany
- German Cancer Consortium (DKTK), Partner Site Freiburg, Freiburg, Germany
| | - Francesco Ceci
- Division of Nuclear Medicine, IEO European Institute of Oncology Scientific IRCCS, Milan, Italy
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Stefano Fanti
- Nuclear Medicine, IRCCS Azienda Ospedaliero-Universitaria Di Bologna, Bologna, Italy
| | - Helena Lanzafame
- Nuclear Medicine, IRCCS Azienda Ospedaliero-Universitaria Di Bologna, Bologna, Italy
| | - Francesca Serani
- Nuclear Medicine, IRCCS Azienda Ospedaliero-Universitaria Di Bologna, Bologna, Italy
| | - Christian Gratzke
- Department of Urology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - August Sigle
- Department of Urology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Stephanie E Combs
- Department of Radiation Oncology, Klinikum Rechts Der Isar, Technical University of Munich, Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany
- Institute of Radiation Medicine, Helmholtz Zentrum München, Munich, Germany
| | - Denise Bernhardt
- Department of Radiation Oncology, Klinikum Rechts Der Isar, Technical University of Munich, Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany
| | - Juergen E Gschwend
- Department of Urology, Klinikum Rechts Der Isar, Technical University of Munich, Munich, Germany
| | - Josef A Buchner
- Department of Radiation Oncology, Klinikum Rechts Der Isar, Technical University of Munich, Munich, Germany
| | - Christian Trapp
- German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany
- Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany
| | - Claus Belka
- German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany
- Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany
| | - Peter Bartenstein
- Department of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany
| | - Lena Unterrainer
- Department of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany
| | - Marcus Unterrainer
- Department of Nuclear Medicine, University Hospital, LMU Munich, Munich, Germany
| | - Matthias Eiber
- Department of Nuclear Medicine, Klinikum Rechts Der Isar, Technical University of Munich, Munich, Germany
| | - Stephan G Nekolla
- Department of Nuclear Medicine, Klinikum Rechts Der Isar, Technical University of Munich, Munich, Germany
| | - Kilian Schiller
- Department of Radiation Oncology, Klinikum Rechts Der Isar, Technical University of Munich, Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany
| | - Anca L Grosu
- Department of Radiation Oncology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Robert-Koch-Straße 3, 79106, Freiburg, Germany
- German Cancer Consortium (DKTK), Partner Site Freiburg, Freiburg, Germany
| | - Nina-Sophie Schmidt-Hegemann
- German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany
- Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany
| | - Constantinos Zamboglou
- Department of Radiation Oncology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Robert-Koch-Straße 3, 79106, Freiburg, Germany
- German Cancer Consortium (DKTK), Partner Site Freiburg, Freiburg, Germany
- Berta-Ottenstein-Programme, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- German Oncology Center, European University of Cyprus, Limassol, Cyprus
| | - Jan C Peeken
- Department of Radiation Oncology, Klinikum Rechts Der Isar, Technical University of Munich, Munich, Germany
- German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany
- Institute of Radiation Medicine, Helmholtz Zentrum München, Munich, Germany
| |
Collapse
|
12
|
Wang Z, Li Y, Zheng A, Gao J, Yuan W, Shen C, Bai L, Duan X. Evaluation of a radiomics nomogram derived from Fluoride-18 PSMA-1007 PET/CT for risk stratification in newly diagnosed prostate cancer. Front Oncol 2022; 12:1018833. [PMID: 36457489 PMCID: PMC9705356 DOI: 10.3389/fonc.2022.1018833] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2022] [Accepted: 10/05/2022] [Indexed: 10/15/2023] Open
Abstract
OBJECTIVE The aim of this study was to evaluate the performance of Fluoride-18 (18F)-PSMA-1007-PET/CT radiomics for the tumor malignancy and clinical risk stratification in primary prostate cancer (PCa). MATERIALS AND METHODS A total of 161 pathological proven PCa patients in a single center were retrospectively analyzed. Prostate-specific antigen (PSA), Gleason Score (GS) and PET/CT indexes (SUVmin, SUVmax, and SUVmean) were compared according to risk stratification. Radiomics features were extracted from PCa 18F-PSMA-1007-PET/CT imaging. The radiomics score integrating all selected parameters and clinicopathologic characteristics was used to construct a binary logistic regression and nomogram classifier. Predictors contained in the individualized prediction nomogram included radiomics score, PSA level and metastasis status. RESULTS The radiomics signature, which consisted of 30 selected features, was significantly associated with PSA level and Gleason score (P < 0.001 for both primary and validation cohorts). Predictors contained in the individualized prediction nomogram included radiomics score, PSA level and metastasis status. The model showed good discrimination with an area under the ROC curve of 0.719 for the GS. Combined clinical-radiomic score nomogram had a similar benefit to utilizing the PET/CT radiomic features alone for GS discrimination. CONCLUSION The 18F-PSMA-1007-PET/CT radiomics signature can be used to facilitate preoperative individualized prediction of GS; incorporating the radiomics signature, PSA level, and metastasis status had similar benefits to those of utilizing the PET/CT radiomics features alone.
Collapse
Affiliation(s)
| | | | | | | | | | | | | | - Xiaoyi Duan
- PET/CT Center, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| |
Collapse
|
13
|
Wang Z, Zheng A, Li Y, Gao J, Dong W, Li Y, Duan X. The 18F-PSMA-1007 PET/CT performance on metastasis status and therapy assessment in oligo-metastasis prostate cancer. Front Oncol 2022; 12:935979. [PMID: 36091136 PMCID: PMC9458929 DOI: 10.3389/fonc.2022.935979] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Accepted: 08/09/2022] [Indexed: 11/13/2022] Open
Abstract
ObjectiveThe prostate-specific membrane antigen (PSMA) PET/CT is potentially identifying patients with oligo-metastasis who would be deemed to only have localized disease in the traditional approaches. However, the best selected oligo-metastasis prostate cancer (PCa) patients most likely to benefit from system androgen deprivation therapy (ADT) are still unknown. The aim of this study was to explore the potential 18F-PSMA-1007 PET/CT parameters and clinicopathologic characteristics for oligo-metastasis PCa discrimination and follow-up evaluation.Materials and methodsA total of 180 retrospective patients with different metastasis burdens (PCa of none-metastases, oligo-metastases, and poly-metastases), different metastasis status (untreated and recurrent oligo-metastases), and follow-up ADT were included respectively. A one-way analysis of variance was used to evaluate whether PET/CT parameters and clinicopathologic characteristics were different and univariate/multivariate logistic regression models were applied to assess independent predictors in the metastasis burdens group (89/180). Selected predictors were further compared between different metastasis statuses to test the diagnostic accuracy (69/180). The predictor efficiency was evaluated by the ROC and the cut-off value was used to test the ADT response-to-treatment with a longitudinal cohort (22/180) from untreated baseline to 3-15 months.ResultsThe significant group differences were observed on SUVmax (P = 0.012), International Society of Urologic Pathologists (ISUP, P<0.001) and Gleason Score (P<0.001). Poly-Metastases patients had higher SUVmax, ISUP and Gleason Score compared to Non-Metastases and Oligo-Metastases patients, respectively (P<0.05, all), and no difference between Non-Metastases and Oligo-Metastases. The SUVmax, ISUP and Gleason Score were independent predictors for metastasis burdens discrimination. The untreated and recurrent oligo-metastases lesions SUVmax were also different (P = 0.036). The AUC of ROC for oligo-metastasis prediction was 0.658 (P = 0.039) when the primary prostatic carcinoma focus SUVmax was higher than 28.22, ADT response-to-treatment patients (5/5 in 22) were all progress in a follow-up test.ConclusionThe SUVmax can discriminate PCa metastasis degree and oligo-metastasis status. The ADT-treated oligo-metastasis patient may still have disease progression when the primary prostatic carcinoma focus SUVmax is greater than 28.22.
Collapse
|
14
|
Jiang F, Fan J, Liang H, Duan X, He D, Wu K. 18F-Prostate-Specific Membrane Antigen and 18F-Fluorodeoxyglucose PET/CT Unmasked the Characteristics of Prostate Lymphoma: A Case Report and Literature Review. Front Med (Lausanne) 2022; 9:842093. [PMID: 35463037 PMCID: PMC9019074 DOI: 10.3389/fmed.2022.842093] [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: 12/23/2021] [Accepted: 02/21/2022] [Indexed: 11/17/2022] Open
Abstract
Prostate lymphoma (PL) is rarely observed and may be concurrently presented with prostate adenocarcinoma. Moreover, the appearance of PL on conventional imaging is similar with prostate adenocarcinoma. Thus, most of PL is diagnosed through prostate biopsy, or accidentally found in the specimens of surgery. Prostate-specific membrane antigen (PSMA) PET/CT has improved the management of prostate adenocarcinoma. While, the question regarding whether it benefits the discovery of the characteristics of PL is unknown. A 32-year-old man presented with worsening dysuria for 1 month, and the prostate-specific antigen (PSA) concentration was normal. While the pelvic MRI showed a mass in the prostate and multiple enlarged lymph nodes in the bilateral inguinal area. Then, the diagnosis of prostate adenocarcinoma was considered, but the serum PSA was normal and he was younger than most patients. So, 18F-PSMA PET/CT was then performed to further reveal the characteristics of the lesion and guide biopsy. However, there was no abnormal PSMA uptake in the lesion of the prostate and lymph nodes of the pelvic cavity and bilateral inguinal area. These lesions presented with increased glucose metabolism on fluorodeoxyglucose (FDG) PET/CT, and the prostate biopsy was then performed. PL was confirmed based on the results of the histopathologic examination, and the patient subsequently received systemic chemotherapy plus radiotherapy. Fortunately, the symptoms and the lesions completely disappeared after radiotherapy. The clinical symptoms of PL are atypical, and PL and adenocarcinoma may be concurrently presented. Moreover, distinguishing PL from prostate adenocarcinoma based on the appearance of conventional imaging is difficult. As opposed to prostate adenocarcinoma, a high FDG-avidity and low PSMA uptake by lymphoma either in the prostate or metastases are seen. So, PSMA PET/CT combined with FDG PET/CT can non-invasively identify the characteristics and origin of PL.
Collapse
Affiliation(s)
- Fan Jiang
- Department of Urology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Junjie Fan
- Department of Urology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.,Department of Urology, Baoji Central Hospital, Baoji, China
| | - Hua Liang
- Department of Pathology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - XiaoYi Duan
- Department of Radiology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Dalin He
- Department of Urology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Kaijie Wu
- Department of Urology, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| |
Collapse
|