1
|
Arıkan MG, Soyluoğlu S, Korkmaz Ü, Taştekin E, Elboğa U, Arda E. Correlation between pre-radical prostatectomy standardized SUVmax ratios detected on 68Ga-PSMA-I&T PET/CT and final histopathology outcomes: an in-depth analysis. Rev Esp Med Nucl Imagen Mol 2024; 43:100-106. [PMID: 38331250 DOI: 10.1016/j.remnie.2024.02.002] [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: 10/10/2023] [Revised: 12/27/2023] [Accepted: 01/02/2024] [Indexed: 02/10/2024]
Abstract
OBJECTIVE To evaluate the predictive potential of the maximum standardized uptake value(SUVmax) value of intraprostatic tumors derived from preoperative 68Ga-PSMA-I&T PET/CT (SUVT), and its ratios to SUVmax in the liver (SUVTLR) and parotid gland (SUVTPR) with respect to histopathological findings. MATERIALS AND METHODS Data from patients who underwent radical prostatectomy (RP) for prostate cancer (PC) at our clinic between 2017 and 2020 were assessed. Patients with a secondary malignancy, a history of transurethral prostate resection, prior treatment for PC, or who received salvage RP were excluded. Whole-body images obtained using the same device, as per the guidelines, were reviewed by two nuclear medicine specialists with more than a decade of experience to reach a consensus for each lesion. The relationships between age, PSA, Prostate Volume, clinical T stage, biopsy International Society of Urological Pathology grade (ISUP), D'amico risk group, intraprostatic tumor volume (HPTV) identified in the final histopathological specimen review, HP-ISUP grade, seminal vesicle invasion (SVI), extracapsular invasion (ECI), positive surgical margine (PSM), SUVT, SUVTLR, and SUVTPR were analyzed. RESULTS The mean age of the 64 included patients was 64.1 ± 5.3. A statistically significant correlation was found between SUVT, SUVTLR, SUVTPR values, and histopathologic stage parameters, such as biopsy ISUP, D'amico Risk Classification, HP-ISUP, HPTV (p < 0.05). PSMATV, SUVT, and SUVTLR were statistically significant predictors of extracapsular invasion, while PSA, PSMATV, and SUVTLR were significant predictors of SVI (p < 0.05). CONCLUSION The standardized SUVT, SUVTLR, and SUVTPR values could be employed as noninvasive markers to assist in predicting postoperative histopathological findings, particularly ECI, SVI, and PSM.
Collapse
Affiliation(s)
- M G Arıkan
- Hatay Dörtyol State Hospital, Urology Clinic, Hatay, Turkey.
| | - S Soyluoğlu
- Trakya University School of Medicine, Department of Nuclear Medicine, Edirne, Turkey.
| | - Ü Korkmaz
- Trakya University School of Medicine, Department of Nuclear Medicine, Edirne, Turkey.
| | - E Taştekin
- Trakya University School of Medicine, Department of Pathology, Edirne, Turkey.
| | - U Elboğa
- Gaziantep University School of Medicine, Department of Nuclear Medicine, Gaziantep, Turkey.
| | - E Arda
- Trakya University School of Medicine, Department of Urology, Edirne, Turkey.
| |
Collapse
|
2
|
Murad V, Glicksman RM, Berlin A, Santiago A, Ramotar M, Metser U. Association of PSMA PET-derived Parameters and Outcomes of Patients Treated for Oligorecurrent Prostate Cancer. Radiology 2023; 309:e231407. [PMID: 38051188 DOI: 10.1148/radiol.231407] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/07/2023]
Abstract
Background Prostate-specific membrane antigen (PSMA) PET is useful in the early detection of oligorecurrent prostate cancer (PCa), but whether PSMA PET parameters can be used to identify patients who would benefit from metastasis-directed therapy (MDT) with radiation or surgery remains uncertain. Purpose To assess the association of PSMA PET parameters with outcomes of patients with oligorecurrent PCa after MDT. Materials and Methods In this retrospective analysis of a single-center phase II trial that enrolled patients with biochemical recurrence of PCa after maximal local therapy and with no evidence of disease at conventional imaging, patients underwent PSMA PET (between May 2017 and November 2021), and unveiled recurrences were treated with MDT. Maximum standardized uptake value (SUVmax) and mean standardized uptake value (SUVmean) and PSMA tumor volume derived using thresholds of 2.5 (SUVmean2.5) and 41% (SUVmean41%), respectively, were recorded for sites of recurrence on PSMA PET scans, and a molecular imaging PSMA score was assigned. These parameters were also corrected for smooth filter and partial volume effects, and the PSMA score was reassigned. Cox proportional hazards models were used to evaluate the relationship between PSMA PET parameters and outcomes. Results A total of 74 men (mean age, 68.3 years ± 6.6 [SD]) with biochemical recurrence of PCa were included. PSMA PET revealed 145 lesions in the entire cohort, of which 125 (86%) were metastatic lymph nodes. Application of the correction factor changed the PSMA score in 88 of 145 lesions (61%). Mean SUVmax, SUVmean2.5, and SUVmean41% were associated with lower risk of biochemical progression (hazard ratio [HR] range, 0.77-0.95; 95% CI: 0.61, 1.00; P = .03 to P = .04). For corrected parameters, mean SUVmax, mean SUVmean2.5, mean SUVmean41%, mean PSMA score, maximum SUVmean2.5, maximum SUVmean41%, and maximum PSMA score were associated with a lower risk of biochemical progression (HR, 0.61-0.98; 95% CI: 0.39, 1.00; P = .01 to P = .04). Conclusion Measured and corrected PSMA PET parameters were associated with biochemical progression in men with oligorecurrent PCa treated with MDT. Clinical trial registration no. NCT03160794 © RSNA, 2023 See also the editorial by Civelek in this issue.
Collapse
Affiliation(s)
- Vanessa Murad
- From University Medical Imaging Toronto, Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital and Women's College Hospital, Princess Margaret Cancer Centre, 610 University Ave, Suite 3-920, Toronto, ON, Canada M5G 2M9 (V.M., U.M.); Department of Medical Imaging (V.M., U.M.), Department of Radiation Oncology (R.M.G., A.B., M.R.), and TECHNA Institute, University Health Network (A.B., U.M.), University of Toronto, Toronto, Canada; and Radiation Medicine Program (R.M.G., A.B.) and Department of Biostatistics (A.S.), Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
| | - Rachel M Glicksman
- From University Medical Imaging Toronto, Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital and Women's College Hospital, Princess Margaret Cancer Centre, 610 University Ave, Suite 3-920, Toronto, ON, Canada M5G 2M9 (V.M., U.M.); Department of Medical Imaging (V.M., U.M.), Department of Radiation Oncology (R.M.G., A.B., M.R.), and TECHNA Institute, University Health Network (A.B., U.M.), University of Toronto, Toronto, Canada; and Radiation Medicine Program (R.M.G., A.B.) and Department of Biostatistics (A.S.), Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
| | - Alejandro Berlin
- From University Medical Imaging Toronto, Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital and Women's College Hospital, Princess Margaret Cancer Centre, 610 University Ave, Suite 3-920, Toronto, ON, Canada M5G 2M9 (V.M., U.M.); Department of Medical Imaging (V.M., U.M.), Department of Radiation Oncology (R.M.G., A.B., M.R.), and TECHNA Institute, University Health Network (A.B., U.M.), University of Toronto, Toronto, Canada; and Radiation Medicine Program (R.M.G., A.B.) and Department of Biostatistics (A.S.), Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
| | - Anna Santiago
- From University Medical Imaging Toronto, Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital and Women's College Hospital, Princess Margaret Cancer Centre, 610 University Ave, Suite 3-920, Toronto, ON, Canada M5G 2M9 (V.M., U.M.); Department of Medical Imaging (V.M., U.M.), Department of Radiation Oncology (R.M.G., A.B., M.R.), and TECHNA Institute, University Health Network (A.B., U.M.), University of Toronto, Toronto, Canada; and Radiation Medicine Program (R.M.G., A.B.) and Department of Biostatistics (A.S.), Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
| | - Matthew Ramotar
- From University Medical Imaging Toronto, Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital and Women's College Hospital, Princess Margaret Cancer Centre, 610 University Ave, Suite 3-920, Toronto, ON, Canada M5G 2M9 (V.M., U.M.); Department of Medical Imaging (V.M., U.M.), Department of Radiation Oncology (R.M.G., A.B., M.R.), and TECHNA Institute, University Health Network (A.B., U.M.), University of Toronto, Toronto, Canada; and Radiation Medicine Program (R.M.G., A.B.) and Department of Biostatistics (A.S.), Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
| | - Ur Metser
- From University Medical Imaging Toronto, Joint Department of Medical Imaging, University Health Network, Mount Sinai Hospital and Women's College Hospital, Princess Margaret Cancer Centre, 610 University Ave, Suite 3-920, Toronto, ON, Canada M5G 2M9 (V.M., U.M.); Department of Medical Imaging (V.M., U.M.), Department of Radiation Oncology (R.M.G., A.B., M.R.), and TECHNA Institute, University Health Network (A.B., U.M.), University of Toronto, Toronto, Canada; and Radiation Medicine Program (R.M.G., A.B.) and Department of Biostatistics (A.S.), Princess Margaret Cancer Centre, University Health Network, Toronto, Canada
| |
Collapse
|
3
|
Smith NJ, Green MA, Bahler CD, Tann M, Territo W, Smith AM, Hutchins GD. Comparison of Tracer Kinetic Models for 68Ga-PSMA-11 PET in Intermediate Risk Primary Prostate Cancer Patients. RESEARCH SQUARE 2023:rs.3.rs-3420161. [PMID: 37961116 PMCID: PMC10635384 DOI: 10.21203/rs.3.rs-3420161/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Abstract
BACKGROUND 68Ga-PSMA-11 positron emission tomography enables the detection of primary, recurrent, and metastatic prostate cancer. Regional radiopharmaceutical uptake is generally evaluated in static images and quantified as standard uptake values (SUV) for clinical decision-making. However, analysis of dynamic images characterizing both tracer uptake and pharmacokinetics may offer added insights into the underlying tissue pathophysiology. This study was undertaken to evaluate the suitability of various kinetic models for 68Ga-PSMA-11 PET analysis. Twenty-three lesions in 18 patients were included in a retrospective kinetic evaluation of 55-minute dynamic 68Ga-PSMA-11 pre-prostatectomy PET scans from patients with biopsy-demonstrated intermediate to high-risk prostate cancer. A reversible one-tissue compartment model, irreversible two-tissue compartment model, and a reversible two-tissue compartment model were evaluated for their goodness-of-fit to lesion and normal reference prostate time-activity curves. Kinetic parameters obtained through graphical analysis and tracer kinetic modeling techniques were compared for reference prostate tissue and lesion regions of interest. RESULTS Supported by goodness-of-fit and information loss criteria, the irreversible two-tissue compartment model was selected as optimally fitting the time-activity curves. Lesions exhibited significant differences in kinetic rate constants (K1, k2, k3, Ki) and semiquantitative measures (SUV) when compared with reference prostatic tissue. The two-tissue irreversible tracer kinetic model was consistently appropriate across prostatic zones. CONCLUSIONS An irreversible tracer kinetic model is appropriate for dynamic analysis of 68Ga-PSMA-11 PET images. Kinetic parameters estimated by Patlak graphical analysis or full compartmental analysis can distinguish tumor from normal prostate tissue.
Collapse
Affiliation(s)
| | | | | | - Mark Tann
- Indiana University School of Medicine
| | | | - Anne M Smith
- Siemens Medical Solutions USA Inc: Siemens Healthcare USA
| | | |
Collapse
|
4
|
Gafita A, Wang H, Robertson A, Armstrong WR, Zaum R, Weber M, Yagubbayli F, Kratochwil C, Grogan TR, Nguyen K, Navarro F, Esfandiari R, Rauscher I, Menze B, Elashoff D, Delpassand ES, Herrmann K, Czernin J, Hofman MS, Calais J, Fendler WP, Eiber M. Tumor Sink Effect in 68Ga-PSMA-11 PET: Myth or Reality? J Nucl Med 2022; 63:226-232. [PMID: 34049987 PMCID: PMC8805781 DOI: 10.2967/jnumed.121.261906] [Citation(s) in RCA: 42] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Revised: 05/04/2021] [Indexed: 01/19/2023] Open
Abstract
We aimed to systematically determine the impact of tumor burden on 68Ga-prostate-specific membrane antigen-11 (68Ga-PSMA) PET biodistribution by the use of quantitative measurements. Methods: This international multicenter, retrospective analysis included 406 men with prostate cancer who underwent 68Ga-PSMA PET/CT. Of these, 356 had positive findings and were stratified by quintiles into a very low (quintile 1, ≤25 cm3), low (quintile 2, 25-189 cm3), moderate (quintile 3, 189-532 cm3), high (quintile 4, 532-1,355 cm3), or very high (quintile 5, ≥1,355 cm3) total PSMA-positive tumor volume (PSMA-VOL). PSMA-VOL was obtained by semiautomatic segmentation of total tumor lesions using qPSMA software. Fifty prostate cancer patients with no PSMA-positive lesions (negative scan) served as a control group. Normal organs, which included salivary glands, liver, spleen, and kidneys, were semiautomatically segmented using 68Ga-PSMA PET images, and SUVmean was obtained. Correlations between the SUVmean of normal organs and PSMA-VOL as continuous and categoric variables by quintiles were evaluated. Results: The median PSMA-VOL was 302 cm3 (interquartile range [IQR], 47-1,076 cm3). The median SUVmean of salivary glands, kidneys, liver, and spleen was 10.0 (IQR, 7.7-11.8), 26.0 (IQR, 20.0-33.4), 3.7 (IQR, 3.0-4.7), and 5.3 (IQR, 4.0-7.2), respectively. PSMA-VOL showed a moderate negative correlation with the SUVmean of the salivary glands (r = -0.44, P < 0.001), kidneys (r = -0.34, P < 0.001), and liver (r = -0.30, P < 0.001) and a weak negative correlation with the spleen SUVmean (r = -0.16, P = 0.002). Patients with a very high PSMA-VOL (quintile 5, ≥1,355 cm3) had a significantly lower PSMA uptake in the salivary glands, kidneys, liver, and spleen than did the control group, with an average difference of -38.1%, -40.0%, -43.2%, and -34.9%, respectively (P < 0.001). Conclusion: Tumor sequestration affects 68Ga-PSMA biodistribution in normal organs. Patients with a very high tumor load showed a significantly lower uptake of 68Ga-PSMA in normal organs, confirming a tumor sink effect. As similar effects might occur with PSMA-targeted radioligand therapy, these patients might benefit from increased therapeutic activity without exceeding the radiation dose limit for organs at risk.
Collapse
Affiliation(s)
- Andrei Gafita
- Ahmanson Translational Theranostics Division, Department of Molecular and Medical Pharmacology, UCLA, Los Angeles, California;,Department of Nuclear Medicine, Klinikum rechts der Isar, Technical University Munich, Munich, Germany
| | - Hui Wang
- Department of Nuclear Medicine, Klinikum rechts der Isar, Technical University Munich, Munich, Germany
| | - Andrew Robertson
- Department of Nuclear Medicine, Klinikum rechts der Isar, Technical University Munich, Munich, Germany
| | - Wesley R. Armstrong
- Ahmanson Translational Theranostics Division, Department of Molecular and Medical Pharmacology, UCLA, Los Angeles, California
| | - Raphael Zaum
- Department of Nuclear Medicine, Klinikum rechts der Isar, Technical University Munich, Munich, Germany
| | - Manuel Weber
- Department of Nuclear Medicine, University of Duisburg–Essen and German Cancer Consortium–University Hospital Essen, Essen, Germany
| | - Farid Yagubbayli
- Department of Nuclear Medicine, Klinikum rechts der Isar, Technical University Munich, Munich, Germany
| | - Clemens Kratochwil
- Department of Nuclear Medicine, Heidelberg University Hospital, Heidelberg, Germany
| | - Tristan R. Grogan
- Department of Medicine Statistics Core, David Geffen School of Medicine, UCLA, Los Angeles, California
| | - Kathleen Nguyen
- Ahmanson Translational Theranostics Division, Department of Molecular and Medical Pharmacology, UCLA, Los Angeles, California
| | - Fernando Navarro
- Department of Nuclear Medicine, Klinikum rechts der Isar, Technical University Munich, Munich, Germany;,Department of Informatics, Technical University Munich, Munich, Germany
| | | | - Isabel Rauscher
- Department of Nuclear Medicine, Klinikum rechts der Isar, Technical University Munich, Munich, Germany
| | - Bjoern Menze
- Department of Informatics, Technical University Munich, Munich, Germany;,Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland; and
| | - David Elashoff
- Department of Medicine Statistics Core, David Geffen School of Medicine, UCLA, Los Angeles, California
| | | | - Ken Herrmann
- Department of Nuclear Medicine, University of Duisburg–Essen and German Cancer Consortium–University Hospital Essen, Essen, Germany
| | - Johannes Czernin
- Ahmanson Translational Theranostics Division, Department of Molecular and Medical Pharmacology, UCLA, Los Angeles, California
| | - Michael S. Hofman
- Prostate Cancer Theranostics and Imaging Centre of Excellence, Molecular Imaging and Therapeutic Nuclear Medicine, Peter MacCallum Cancer Centre, and Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia
| | - Jeremie Calais
- Ahmanson Translational Theranostics Division, Department of Molecular and Medical Pharmacology, UCLA, Los Angeles, California
| | - Wolfgang P. Fendler
- Department of Nuclear Medicine, University of Duisburg–Essen and German Cancer Consortium–University Hospital Essen, Essen, Germany
| | - Matthias Eiber
- Department of Nuclear Medicine, Klinikum rechts der Isar, Technical University Munich, Munich, Germany
| |
Collapse
|
5
|
Ragab A, Wu J, Ding X, Clark A, Mischen B, Chauhan A, Oates ME, Anthony L, El Khouli R. 68Ga-DOTATATE PET/CT: The Optimum Standardized Uptake Value (SUV) Internal Reference. Acad Radiol 2022; 29:95-106. [PMID: 34756348 DOI: 10.1016/j.acra.2020.08.028] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2020] [Revised: 08/18/2020] [Accepted: 08/18/2020] [Indexed: 01/01/2023]
Abstract
RATIONALE AND OBJECTIVES Standardized Uptake Value (SUV) is an important semiquantitative measurement used in the clinical and research domains to assess radiopharmaceutical concentration in tumors versus normal organs, but is susceptible to many factors beyond the tumor biological environment. So, the aim of this study is to identify the optimum internal reference among organs with physiological uptake in 68Ga-DOTATATE PET/CT (DOTA PET/CT) scans. MATERIALS AND METHODS This HIPAA-compliant, IRB-approved study with waiver of consent included retrospective imaging review of 180 consecutive patients with neuroendocrine tumors presenting for DOTA PET/CT image acquisition: Ga-68 DOTATATE dose was reported as (0.054 mCi/Kg) scans between September 2018 and May 2019. Mean value of body weight normalized SUV (SUVbw) and lean body mass normalized SUV (SUL) of liver and spleen were measured. Information about the patients and scan characteristics were collected. The paired Grambsch test was used to compare variance among the measured SUVs. Spearman's rank correlation coefficient was used to assess correlation between SUVs and potential patient- and scan-specific confounding factors. RESULTS Variance of SUL was significantly lower than variance of SUVbw in both liver and spleen (p-value < 0.0001). Variances of liver SUVbw and SUL were significantly lower than the corresponding spleen SUVs. Liver SUL showed the lowest variance (3.69% ± 1.25%) among all measured SUVs. CONCLUSION SUL is a more reproducible, less variable, and therefore more reliable quantitative measure in DOTA PET/CT scans, compared SUVbw. Among the available organs with physiological uptake, liver SUL is the optimum internal reference given the liver's larger size and uniform SUL values resulting in lower variability and better reproducibility.
Collapse
Affiliation(s)
- Ahmed Ragab
- Yale New Haven Health - Bridgeport Hospital, Bridgeport, Connecticut
| | - Jianrong Wu
- University of Kentucky College of Medicine, Department of Internal Medicine, Division of Cancer Biostatistics, Lexington, Kentucky; University of Kentucky College of Medicine, Markey Cancer Center, Biostatistics and Bioinformatics Shared Resource Facility, Lexington, Kentucky
| | - Xue Ding
- University of Kentucky College of Medicine, Department of Internal Medicine, Division of Cancer Biostatistics, Lexington, Kentucky
| | - Aurela Clark
- University of Kentucky College of Medicine, Department of Radiology, Division of Nuclear Medicine and Molecular imaging, 800 Rose street, Lexington, 40536 KY
| | - Blaine Mischen
- University of Kentucky College of Medicine, Department of Radiology, Division of Nuclear Medicine and Molecular imaging, 800 Rose street, Lexington, 40536 KY
| | - Aman Chauhan
- University of Kentucky College of Medicine, Department of Internal Medicine, Division of Medical Oncology, Lexington, Kentucky; University of Kentucky College of Medicine, Markey Cancer Center, Lexington, Kentucky
| | - M Elizabeth Oates
- University of Kentucky College of Medicine, Department of Radiology, Division of Nuclear Medicine and Molecular imaging, 800 Rose street, Lexington, 40536 KY
| | - Lowell Anthony
- University of Kentucky College of Medicine, Department of Internal Medicine, Division of Medical Oncology, Lexington, Kentucky; University of Kentucky College of Medicine, Markey Cancer Center, Lexington, Kentucky
| | - Riham El Khouli
- University of Kentucky College of Medicine, Department of Radiology, Division of Nuclear Medicine and Molecular imaging, 800 Rose street, Lexington, 40536 KY; University of Kentucky College of Medicine, Markey Cancer Center, Lexington, Kentucky.
| |
Collapse
|
6
|
Aksu A, Çapa Kaya G. Is SUV Corrected for Lean Body Mass Superior to SUV of Body Weight in 68Ga-PSMA PET/CT? Mol Imaging Radionucl Ther 2021; 30:144-149. [PMID: 34658229 PMCID: PMC8522520 DOI: 10.4274/mirt.galenos.2021.59254] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022] Open
Abstract
Objectives: This study aimed to investigate the relationship between the standard uptake value (SUV) of body weight and SUV corrected for lean body mass (SUL) parameters obtained from the prostate gland in gallium-68 (68Ga)-prostate-specific membrane antigen (PSMA) positron emission tomography-computed tomography (PET/CT) with Gleason grade (GG) groups, D’Amico risk groups, and presence of metastases. Methods: Patients with prostate adenocarcinoma who underwent 68Ga-PSMA PET/CT for staging at our center between February 2017 and October 2018 were evaluated retrospectively. Maximum SUV (SUVmax), SUVpeak, SULmax, SULpeak, SUVmean, and SULmean values of the prostate tumor were obtained. The difference in these values between GG groups (≥3, <3) and D’Amico risk (low-moderate/high) groups was evaluated with the Mann-Whitney U test. The area under the curve values of SUV and SUL parameters were compared. In addition, SUVmean and SULmean values were obtained from the right liver lobe, and their correlation with body weight was evaluated. Results: A total of 79 patients were included in the study. Significant differences were found in the prostate SUVmax, SULmax, SUVpeak, SULpeak, SUVmean, and SULmean values between the GG (≥3 and <3) groups and between D’Amico risk (low-moderate and high) groups. However, no significant difference was found in the discriminative power of any SUV or SUL parameter when compared with each other. A significant difference in any SUV and SUL parameters was found in patients with and without metastasis. Neither liver SUVmean value nor SULmean value correlated with the body weight. Conclusion: The superiority of SUL values obtained from 68Ga-PSMA PET to SUV was not determined in our study. SUV parameters can also be used for quantitative analysis in 68Ga-PSMA PET.
Collapse
Affiliation(s)
- Ayşegül Aksu
- University of Health Sciences Turkey, Başakşehir Çam and Sakura City Hospital, Clinic of of Nuclear Medicine, İstanbul, Turkey
| | - Gamze Çapa Kaya
- Dokuz Eylül University Faculty of Medicine, Department of Nuclear Medicine, İzmir, Turkey
| |
Collapse
|
7
|
Kalshetty A, Menon B, Rakshit S, Bhattacharjee A, Basu S. Correlation of Lesional Uptake Parameters and Ratios with miPSMA Score and Estimating Normal Physiologic Concentration: An Exploratory Analysis in Metastatic Castration-Resistant Prostatic Carcinoma Patients with 68Ga-PSMA-11 PET/CT. J Nucl Med Technol 2021; 49:235-240. [PMID: 34244223 DOI: 10.2967/jnmt.120.261289] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Accepted: 03/26/2021] [Indexed: 11/16/2022] Open
Abstract
The use of prostate-specific membrane antigen (PSMA)-based PET/CT has grown rapidly in recent years. This study estimated lesional uptake, normal physiologic concentrations, and temporal variation on delayed PET/CT of 68Ga-PSMA-11 across different molecular imaging PSMA (miPSMA) expression scores in patients with metastatic castration-resistant prostatic carcinoma. Methods: We retrospectively studied 50 patients who were evaluated for 177Lu-PSMA-targeted radioligand therapy and underwent 68Ga-PSMA-11 PET/CT to determine disease status. Their mean age was 67.5 ± 8 y (52-84 y), and their average serum prostate-specific antigen level was 401 ± 1,353 ng/mL (0.098-9,235.13 ng/mL) at the time of scanning. They underwent standard 68Ga-PSMA-11 PET/CT an average of 65 min after injection (60-90 min). Tumors (n = 50) were correlated with miPSMA expression score and uptake. Physiologic tracer distribution was estimated by placing a volume of interest 1 cm in diameter for smaller organs (submandibular, parotid, lacrimal, and tubarial glands; renal cortices; blood pool; and bowel) and 3 cm for larger organs (liver and spleen). SUVmax and SUVmean were estimated for each region. Tumor-to-spleen (T/S), tumor-to-liver (T/L), and tumor-to-parotid (T/P) ratios were calculated for each lesion. For 16 patients who underwent a delayed scan an average of 135 min after injection (120-150 min), additional analysis evaluated the effect of the delay. Results: Uptake was maximal in renal cortices, followed by salivary glands, bowel, spleen, liver, lacrimal glands, and blood pool. SUVmax averaged 37.7 ± 22.1 for renal cortices, 15.4 ± 7.3 for submandibular glands, 14.4 ± 7.1 for parotid glands, 9.4 ± 4.9 for spleen, 6.2 ± 3.7 for lacrimal glands, 5.9 ± 2.3 for liver, 5.3 ± 1.41 for tubarial glands, 13.8 ± 7.6 for bowel, and 2.4 ± 1.9 for blood pool. SUVmax averaged 10.33 ± 3.27 (6.46-17) for miPSMA expression score 2 and 38.21 ± 25.9 (7.68-119.08) for score 3. T/S and T/P ratios averaged 1.21 ± 0.44 (0.48-2.04) and 0.6 ± 0.18 (0.39-0.87), respectively, for score 2 and 5.05 ± 4.46 (1.25-20.89) and 3.15 ± 2.09 (1.06-9.45), respectively, for score 3. SUVmax for score 3 lesions averaged 18.85, which increased significantly to 26.24 on delayed imaging (P = 0.0001). However, T/L, T/S, and T/P ratios did not significantly change. Temporal variation in normal organs showed SUVmax to increase significantly on delayed scans for salivary (submandibular and parotid) and lacrimal glands and renal cortices, whereas SUVmean increased significantly for spleen; liver; and parotid, tubarial, and lacrimal glands and insignificantly for other organs. Conclusion: These data form a basis for a proposed consensus on standard reference ranges for quantitative 68Ga-PSMA-11 PET/CT. The temporal variations should be kept in mind for delayed acquisitions; T/S, T/L, and T/P ratios might serve as better markers for such scenarios.
Collapse
Affiliation(s)
- Ashwini Kalshetty
- Radiation Medicine Centre, Bhabha Atomic Research Centre, Tata Memorial Centre Annexe, Mumbai, India.,Homi Bhabha National Institute, Mumbai, India; and
| | - Biju Menon
- Radiation Medicine Centre, Bhabha Atomic Research Centre, Tata Memorial Centre Annexe, Mumbai, India.,Homi Bhabha National Institute, Mumbai, India; and
| | - Sutapa Rakshit
- Radiation Medicine Centre, Bhabha Atomic Research Centre, Tata Memorial Centre Annexe, Mumbai, India.,Homi Bhabha National Institute, Mumbai, India; and
| | - Atanu Bhattacharjee
- Homi Bhabha National Institute, Mumbai, India; and.,Department of Biostatistics, ACTREC, Tata Memorial Centre, Mumbai, India
| | - Sandip Basu
- Radiation Medicine Centre, Bhabha Atomic Research Centre, Tata Memorial Centre Annexe, Mumbai, India; .,Homi Bhabha National Institute, Mumbai, India; and
| |
Collapse
|
8
|
Zhao J, Xue Q, Chen X, You Z, Wang Z, Yuan J, Liu H, Hu L. Evaluation of SUVlean consistency in FDG and PSMA PET/MR with Dixon-, James-, and Janma-based lean body mass correction. EJNMMI Phys 2021; 8:17. [PMID: 33598849 PMCID: PMC7889776 DOI: 10.1186/s40658-021-00363-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2020] [Accepted: 02/04/2021] [Indexed: 01/22/2023] Open
Abstract
PURPOSE To systematically evaluate the consistency of various standardized uptake value (SUV) lean body mass (LBM) normalization methods in a clinical positron emission tomography/magnetic resonance imaging (PET/MR) setting. METHODS SUV of brain, liver, prostate, parotid, blood, and muscle were measured in 90 18F-FDG and 28 18F-PSMA PET/MR scans and corrected for LBM using the James, Janma (short for Janmahasatian), and Dixon approaches. The prospective study was performed from December 2018 to August 2020 at Shanghai East Hospital. Forty dual energy X-ray absorptiometry (DXA) measurements of non-fat mass were used as the reference standard. Agreement between different LBM methods was assessed by linear regression and Bland-Altman statistics. SUV's dependency on BMI was evaluated by means of linear regression and Pearson correlation. RESULTS Compared to DXA, the Dixon approach presented the least bias in LBM/weight% than James and Janma models (bias 0.4±7.3%, - 8.0±9.4%, and - 3.3±8.3% respectively). SUV normalized by body weight (SUVbw) was positively correlated with body mass index (BMI) for both FDG (e.g., liver: r = 0.45, p < 0.001) and PSMA scans (r = 0.20, p = 0.31), while SUV normalized by lean body mass (SUVlean) revealed a decreased dependency on BMI (r = 0.22, 0.08, 0.14, p = 0.04, 0.46, 0.18 for Dixon, James, and Janma models, respectively). The liver SUVbw of obese/overweight patients was significantly larger (p < 0.001) than that of normal patients, whereas the bias was mostly eliminated in SUVlean. One-way ANOVA showed significant difference (p < 0.001) between SUVlean in major organs measured using Dixon method vs James and Janma models. CONCLUSION Significant systematic variation was found using different approaches to calculate SUVlean. A consistent correction method should be applied for serial PET/MR scans. The Dixon method provides the most accurate measure of LBM, yielding the least bias of all approaches when compared to DXA.
Collapse
Affiliation(s)
- Jun Zhao
- Department of Nuclear Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China.
| | - Qiaoyi Xue
- Central Research Institute, United Imaging Healthcare Group, Shanghai, China
| | - Xing Chen
- Department of Nuclear Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
| | - Zhiwen You
- Department of Nuclear Medicine, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China
| | - Zhe Wang
- Central Research Institute, United Imaging Healthcare Group, Shanghai, China
| | - Jianmin Yuan
- Central Research Institute, United Imaging Healthcare Group, Shanghai, China
| | - Hui Liu
- Central Research Institute, United Imaging Healthcare Group, Shanghai, China
| | - Lingzhi Hu
- Central Research Institute, United Imaging Healthcare Group, Shanghai, China
| |
Collapse
|
9
|
Olde Heuvel J, de Wit-van der Veen BJ, Donswijk ML, Slump CH, Stokkel MPM. Day-to-day variability of [ 68Ga]Ga-PSMA-11 accumulation in primary prostate cancer: effects on tracer uptake and visual interpretation. EJNMMI Res 2020; 10:132. [PMID: 33123814 PMCID: PMC7596127 DOI: 10.1186/s13550-020-00708-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Accepted: 09/21/2020] [Indexed: 01/22/2023] Open
Abstract
PURPOSE Prostate-specific membrane antigen (PSMA) agents, such as [68Ga]Ga-PSMA-11, have an unprecedented accuracy in staging prostate cancer (PCa) and detecting disease recurrence. PSMA PET/CT may also be used for response monitoring by displaying molecular changes, instead of morphological changes alone. However, there are still limited data available on the variability in biodistribution and intra-prostatic uptake of PSMA targeting radiotracers. Therefore, the aim of this study was to assess the repeatability of [68Ga]Ga-PSMA-11 uptake in primary PCa patients in a 4-week interval. METHODS Twenty-four primary PCa patients were prospectively included, who already were scheduled for [68Ga]Ga-PSMA-11 PET/CT scan on clinical indication (≥ cT3, Gleason score ≥ 7 or PSA ≥ 20 ng/mL). These patients received two [68Ga]Ga-PSMA-11 PET/CT scans with a 4-week interval. No treatment was started in between the scans. Semiquantitative measurements (SULmax, SULmean, and SULpeak) were determined in the prostate tumor, normal tissues, and blood pool. The repeatability coefficient of every region was determined. All scans were visually analyzed by two nuclear medicine physicians. RESULTS Within-subject coefficient of variation of [68Ga]Ga-PSMA-11 uptake between the two scans was on average 10% in the prostate tumor, normal tissues (liver, kidney, parotid), and blood pool. The repeatability coefficient of the prostate tumor was 18% for SULpeak and 22% for SULmax. Lesion uptake was visually different in 5 patients, though not clinically relevant. CONCLUSION Results of test-retest [68Ga]Ga-PSMA-11 PET/CT scans in a 4-week interval show that [68Ga]Ga-PSMA-11 uptake is repeatable, with a clinical irrelevant variation in tumor and physiological distribution. Based on the presented repeatable uptake, [68Ga]Ga-PSMA-11 PET/CT scans can potentially be used for disease surveillance and therapy response monitoring. Changes in uptake larger than the RC are therefore likely to reflect actual biological changes in PSMA expression. Trial registration NL8263 at Trialregister.nl retrospectively registered on 03-01-2020. https://www.trialregister.nl/trial/8263.
Collapse
Affiliation(s)
- Judith Olde Heuvel
- Department of Nuclear Medicine, Netherlands Cancer Institute-Antoni van Leeuwenhoek, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands.,Technical Medical Centre, University of Twente, Enschede, The Netherlands
| | - Berlinda J de Wit-van der Veen
- Department of Nuclear Medicine, Netherlands Cancer Institute-Antoni van Leeuwenhoek, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands.
| | - Maarten L Donswijk
- Department of Nuclear Medicine, Netherlands Cancer Institute-Antoni van Leeuwenhoek, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands
| | - Cornelis H Slump
- Technical Medical Centre, University of Twente, Enschede, The Netherlands
| | - Marcel P M Stokkel
- Department of Nuclear Medicine, Netherlands Cancer Institute-Antoni van Leeuwenhoek, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands
| |
Collapse
|
10
|
Duarte PS, Sapienza MT. Normalization by bone volume instead of body weight or lean body mass may be better for quantifying skeletal burden in fibrous dysplasia using sodium fluoride PET/CT. Eur J Nucl Med Mol Imaging 2020; 47:1349-1350. [PMID: 31925457 DOI: 10.1007/s00259-020-04688-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2020] [Accepted: 01/06/2020] [Indexed: 12/28/2022]
Affiliation(s)
- Paulo Schiavom Duarte
- Division of Nuclear Medicine, São Paulo Cancer Institute (ICESP), Av. Dr. Arnaldo, 251, 4° SS, Cerqueira César, São Paulo, SP, 01246-000, Brazil.
| | - Marcelo Tatit Sapienza
- Division of Nuclear Medicine, Department of Radiology and Oncology, Medical School of University of São Paulo (FMUSP), São Paulo, Brazil
| |
Collapse
|