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Margolis DJA, Chatterjee A, deSouza NM, Fedorov A, Fennessy FM, Maier SE, Obuchowski N, Punwani S, Purysko A, Rakow-Penner R, Shukla-Dave A, Tempany CM, Boss M, Malyarenko D. Quantitative Prostate MRI, From the AJR Special Series on Quantitative Imaging. AJR Am J Roentgenol 2024. [PMID: 39356481 DOI: 10.2214/ajr.24.31715] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/03/2024]
Abstract
Prostate MRI has traditionally relied on qualitative interpretation. However, quantitative components hold the potential to markedly improve performance. The ADC from DWI is probably the most widely recognized quantitative MRI biomarker and has shown strong discriminatory value for clinically significant prostate cancer (csPCa) as well as for recurrent cancer after treatment. Advanced diffusion techniques, including intravoxel incoherent motion, diffusion kurtosis, diffusion tensor imaging, and specific implementations such as restriction spectrum imaging, purport even better discrimination, but are more technically challenging. The inherent T1 and T2 of tissue also provide diagnostic value, with more advanced techniques deriving luminal water imaging and hybrid-multidimensional MRI. Dynamic contrast-enhanced imaging, primarily using a modified Tofts model, also shows independent discriminatory value. Finally, quantitative size and shape features can be combined with the aforementioned techniques and be further refined using radiomics, texture analysis, and artificial intelligence. Which technique will ultimately find widespread clinical use will depend on validation across a myriad of platforms use-cases.
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Affiliation(s)
| | | | - Nandita M deSouza
- The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, London, UK
| | - Andriy Fedorov
- Department of Radiology, Brigham and Women's Hospital, Boston, MA
| | - Fiona M Fennessy
- Department of Radiology, Brigham and Women's Hospital, Boston, MA
| | - Stephan E Maier
- Department of Radiology, Brigham and Women's Hospital, Boston, MA
| | | | - Shonit Punwani
- Centre for Medical Imaging, University College London, London, UK
| | - Andrei Purysko
- Department of Radiology, Cleveland Clinic, Cleveland, OH
| | | | - Amita Shukla-Dave
- Departments of Medical Physics and Radiology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Clare M Tempany
- Department of Radiology, Brigham and Women's Hospital, Boston, MA
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Tilki D, van den Bergh RCN, Briers E, Van den Broeck T, Brunckhorst O, Darraugh J, Eberli D, De Meerleer G, De Santis M, Farolfi A, Gandaglia G, Gillessen S, Grivas N, Henry AM, Lardas M, J L H van Leenders G, Liew M, Linares Espinos E, Oldenburg J, van Oort IM, Oprea-Lager DE, Ploussard G, Roberts MJ, Rouvière O, Schoots IG, Schouten N, Smith EJ, Stranne J, Wiegel T, Willemse PPM, Cornford P. EAU-EANM-ESTRO-ESUR-ISUP-SIOG Guidelines on Prostate Cancer. Part II-2024 Update: Treatment of Relapsing and Metastatic Prostate Cancer. Eur Urol 2024; 86:164-182. [PMID: 38688773 DOI: 10.1016/j.eururo.2024.04.010] [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: 03/02/2024] [Revised: 03/14/2024] [Accepted: 04/03/2024] [Indexed: 05/02/2024]
Abstract
BACKGROUND AND OBJECTIVE The European Association of Urology (EAU)-European Association of Nuclear Medicine (EANM)-European Society for Radiotherapy and Oncology (ESTRO)-European Society of Urogenital Radiology (ESUR)-International Society of Urological Pathology (ISUP)-International Society of Geriatric Oncology (SIOG) guidelines on the treatment of relapsing, metastatic, and castration-resistant prostate cancer (PCa) have been updated. Here we provide a summary of the 2024 guidelines. METHODS The panel performed a literature review of new data, covering the time frame between 2020 and 2023. The guidelines were updated and a strength rating for each recommendation was added on the basis of a systematic review of the evidence. KEY FINDINGS AND LIMITATIONS Risk stratification for relapsing PCa after primary therapy may guide salvage therapy decisions. New treatment options, such as androgen receptor-targeted agents (ARTAs), ARTA + chemotherapy combinations, PARP inhibitors and their combinations, and prostate-specific membrane antigen-based therapy have become available for men with metastatic PCa. CONCLUSIONS AND CLINICAL IMPLICATIONS Evidence for relapsing, metastatic, and castration-resistant PCa is evolving rapidly. These guidelines reflect the multidisciplinary nature of PCa management. The full version is available online (http://uroweb.org/guideline/ prostate-cancer/). PATIENT SUMMARY This article summarises the 2024 guidelines for the treatment of relapsing, metastatic, and castration-resistant prostate cancer. These guidelines are based on evidence and guide doctors in discussing treatment decisions with their patients. The guidelines are updated every year.
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Affiliation(s)
- Derya Tilki
- Martini-Klinik Prostate Cancer Center, University Hospital Hamburg Eppendorf, Hamburg, Germany; Department of Urology, University Hospital Hamburg-Eppendorf, Hamburg, Germany; Department of Urology, Koc University Hospital, Istanbul, Turkey.
| | | | | | | | | | - Julie Darraugh
- European Association of Urology, Arnhem, The Netherlands
| | - Daniel Eberli
- Department of Urology, University Hospital Zurich, Zurich, Switzerland
| | - Gert De Meerleer
- Department of Radiation Oncology, University Hospital Leuven, Leuven, Belgium
| | - Maria De Santis
- Department of Urology, Universitätsmedizin Berlin, Berlin, Germany; Department of Urology, Medical University of Vienna, Vienna, Austria
| | - Andrea Farolfi
- Nuclear Medicine, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Giorgio Gandaglia
- Division of Oncology/Unit of Urology, Soldera Prostate Cancer Laboratory, Urological Research Institute, IRCCS San Raffaele Scientific Institute, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy
| | - Silke Gillessen
- Oncology Institute of Southern Switzerland, Ente Ospedaliero Cantonale, Bellinzona, Switzerland; Faculty of Biomedical Sciences, Università della Svizzera Italiana, Lugano, Switzerland
| | - Nikolaos Grivas
- Department of Urology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Ann M Henry
- Leeds Cancer Centre, St. James's University Hospital and University of Leeds, Leeds, UK
| | - Michael Lardas
- Department of Urology, Metropolitan General Hospital, Athens, Greece
| | | | - Matthew Liew
- Department of Urology, Liverpool University Hospitals NHS Trust, Liverpool, UK
| | | | - Jan Oldenburg
- Akershus University Hospital, Lørenskog, Norway; Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Inge M van Oort
- Department of Urology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Daniela E Oprea-Lager
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, VU Medical Center, Amsterdam, The Netherlands
| | | | - Matthew J Roberts
- Department of Urology, Royal Brisbane and Women's Hospital, Brisbane, Australia; Faculty of Medicine, The University of Queensland Centre for Clinical Research, Herston, Australia
| | - Olivier Rouvière
- Department of Imaging, Hôpital Edouard Herriot, Hospices Civils de Lyon, Lyon, France; Université de Lyon, Université Lyon 1, UFR Lyon-Est, Lyon, France
| | - Ivo G Schoots
- Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands; Department of Radiology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | | | - Emma J Smith
- European Association of Urology, Arnhem, The Netherlands
| | - Johan Stranne
- Department of Urology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden; Department of Urology, Sahlgrenska University Hospital-Västra Götaland, Gothenburg, Sweden
| | - Thomas Wiegel
- Department of Radiation Oncology, University Hospital Ulm, Ulm, Germany
| | - Peter-Paul M Willemse
- Department of Urology, Cancer Center University Medical Center Utrecht, Utrecht, The Netherlands
| | - Philip Cornford
- Department of Urology, Liverpool University Hospitals NHS Trust, Liverpool, UK
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Sciarra A, Santarelli V, Salciccia S, Moriconi M, Basile G, Santodirocco L, Carino D, Frisenda M, Di Pierro G, Del Giudice F, Gentilucci A, Bevilacqua G. How the Management of Biochemical Recurrence in Prostate Cancer Will Be Modified by the Concept of Anticipation and Incrementation of Therapy. Cancers (Basel) 2024; 16:764. [PMID: 38398155 PMCID: PMC10886975 DOI: 10.3390/cancers16040764] [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: 01/02/2024] [Revised: 02/06/2024] [Accepted: 02/10/2024] [Indexed: 02/25/2024] Open
Abstract
Biochemical recurrence (BCR) after primary treatments for prostate cancer (PC) is an extremely heterogeneous phase and at least a stratification into low- and high-risk cases for early progression in metastatic disease is necessary. At present, PSA-DT represents the best parameter to define low- and high-risk BCR PC, but real precision medicine is strongly suggested to define tailored management for patients with BCR. Before defining management, it is necessary to exclude the presence of low-volume metastasis associated with PSA progression using new-generation imaging, preferably with PSMA PET/CT. Low-risk BCR cases should be actively observed without early systemic therapies. Early treatment of low-risk BCR with continuous androgen deprivation therapy (ADT) can produce disadvantages such as the development of castration resistance before the appearance of metastases (non-metastatic castration-resistant PC). Patients with high-risk BCR benefit from early systemic therapy. Even with overall survival (OS) as the primary treatment endpoint, metastasis-free survival (MFS) should be used as a surrogate endpoint in clinical trials, especially in long survival stages of the disease. The EMBARK study has greatly influenced the management of high-risk BCR, by introducing the concept of anticipation and intensification through the use of androgen receptor signaling inhibitors (ARSIs) and ADT combination therapy. In high-risk (PSA-DT ≤ 9 months) BCR cases, the combination of enzalutamide with leuprolide significantly improves MFS when compared to leuprolide alone, maintaining an unchanged quality of life in the asymptomatic phase of the disease. The possibility of using ARSIs alone in this early disease setting is suggested by the EMBARK study (arm with enzalutamide alone) with less evidence than with the intensification of the combination therapy. Continued use versus discontinuation of enzalutamide plus leuprolide intensified therapy upon reaching undetectable PSA levels needs to be better defined with further analysis. Real-world analysis must verify the significant results obtained in the context of a phase 3 study.
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Affiliation(s)
- Alessandro Sciarra
- Department Materno Infantile e Scienze Urologiche, Sapienza University, Viale Policlinico 155, 00161 Rome, Italy; (V.S.); (S.S.); (M.M.); (G.B.); (L.S.); (D.C.); (M.F.); (G.D.P.); (F.D.G.); (A.G.); (G.B.)
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4
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Georgiev A, Chervenkov L, Doykov M, Doykova K, Uchikov P, Tsvetkova S. Surveillance Value of Apparent Diffusion Coefficient Maps: Multiparametric MRI in Active Surveillance of Prostate Cancer. Cancers (Basel) 2023; 15:1128. [PMID: 36831471 PMCID: PMC9953850 DOI: 10.3390/cancers15041128] [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: 12/13/2022] [Revised: 01/25/2023] [Accepted: 02/06/2023] [Indexed: 02/12/2023] Open
Abstract
BACKGROUND This study aims to establish the value of apparent diffusion coefficient maps and other magnetic resonance sequences for active surveillance of prostate cancer. The study included 530 men with an average age of 66, who were under surveillance for prostate cancer. We have used multiparametric magnetic resonance imaging with subsequent transperineal biopsy (TPB) to verify the imaging findings. RESULTS We have observed a level of agreement of 67.30% between the apparent diffusion coefficient (ADC) maps, other magnetic resonance sequences, and the biopsy results. The sensitivity of the apparent diffusion coefficient is 97.14%, and the specificity is 37.50%. According to our data, apparent diffusion coefficient is the most accurate sequence, followed by diffusion imaging in prostate cancer detection. CONCLUSIONS Based on our findings we advocate that the apparent diffusion coefficient should be included as an essential part of magnetic resonance scanning protocols for prostate cancer in at least bi-parametric settings. The best option will be apparent diffusion coefficient combined with diffusion imaging and T2 sequences. Further large-scale prospective controlled studies are required to define the precise role of multiparametric and bi-parametric magnetic resonance in the active surveillance of prostate cancer.
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Affiliation(s)
- Aleksandar Georgiev
- Department of Diagnostic Imaging, Medical Faculty, Medical University Plovdiv, Bul. Vasil Aprilov 15A, 4002 Plovdiv, Bulgaria
- Department of Diagnostic Imaging, Complex Oncology Center Plovdiv, ul. Pere Toshev 62, 4004 Plovdiv, Bulgaria
| | - Lyubomir Chervenkov
- Department of Diagnostic Imaging, Medical Faculty, Medical University Plovdiv, Bul. Vasil Aprilov 15A, 4002 Plovdiv, Bulgaria
- Research Complex for Translational Neuroscience, Medical University of Plovdiv, Bul. Vasil Aprilov 15A, 4002 Plovdiv, Bulgaria
| | - Mladen Doykov
- Department of Urology and General Medicine, Medical Faculty, Medical University Plovdiv, Bul. Vasil Aprilov 15A, 4002 Plovdiv, Bulgaria
| | - Katya Doykova
- Department of Diagnostic Imaging, Medical Faculty, Medical University Plovdiv, Bul. Vasil Aprilov 15A, 4002 Plovdiv, Bulgaria
| | - Petar Uchikov
- Department of Special Surgery, Medical Faculty, Medical University Plovdiv, Bul. Vasil Aprilov 15A, 4002 Plovdiv, Bulgaria
| | - Silvia Tsvetkova
- Department of Diagnostic Imaging, Medical Faculty, Medical University Plovdiv, Bul. Vasil Aprilov 15A, 4002 Plovdiv, Bulgaria
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Tremeau L, Mottet N. Management of Biochemical Recurrence of Prostate Cancer After Curative Treatment: A Focus on Older Patients. Drugs Aging 2022; 39:685-694. [PMID: 36008748 DOI: 10.1007/s40266-022-00973-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/01/2022] [Indexed: 11/30/2022]
Abstract
Following a treatment with curative intent, a biochemical recurrence may be diagnosed, often many years after the primary treatment. The consequences of this relapse on survival are very heterogeneous. The expected specific survival at relapse is above 50% at 10 years. Therefore, its management needs to be balanced with the individual life expectancy. The relapse needs to be categorized as either a low- or high-risk category. The latter has to be considered for salvage therapy, provided the individual life expectancy is long enough. It is evaluated through an initial geriatric assessment, starting with the G8 score as well as the mini-Cog. A comprehensive geriatric assessment might be needed based on the G8 score. Patients will then be categorized as either fit, vulnerable, or frail. If a local salvage therapy is considered, the relapse localization might be of interest in some situations. Available salvage therapies in senior adults have nothing special compared to salvage of younger men, except for aggressive local therapy, which might be less well tolerated. The key objective in managing a biochemical recurrence in senior adults is to find the right balance between under- and over-treatment in a shared decision process. In many frail and vulnerable men, a clinically oriented watchful waiting should be preferred, while fit men with an aggressive relapse and a significant life expectancy need an active therapy.
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Affiliation(s)
- Lancelot Tremeau
- Centre Hospitalo-Universitaire de Saint Etienne, Saint Etienne, France.
| | - Nicolas Mottet
- Centre Hospitalo-Universitaire de Saint Etienne, Saint Etienne, France
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Kooreman ES, van Pelt V, Nowee ME, Pos F, van der Heide UA, van Houdt PJ. Longitudinal Correlations Between Intravoxel Incoherent Motion (IVIM) and Dynamic Contrast-Enhanced (DCE) MRI During Radiotherapy in Prostate Cancer Patients. Front Oncol 2022; 12:897130. [PMID: 35747819 PMCID: PMC9210504 DOI: 10.3389/fonc.2022.897130] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Accepted: 05/03/2022] [Indexed: 11/13/2022] Open
Abstract
Purpose Intravoxel incoherent motion (IVIM) is a promising technique that can acquire perfusion information without the use of contrast agent, contrary to the more established dynamic contrast-enhanced (DCE) technique. This is of interest for treatment response monitoring, where patients can be imaged on each treatment fraction. In this study, longitudinal correlations between IVIM- and DCE parameters were assessed in prostate cancer patients receiving radiation treatment. Materials and Methods 20 prostate cancer patients were treated on a 1.5 T MR-linac with 20 x 3 or 3.1 Gy. Weekly IVIM and DCE scans were acquired. Tumors, the peripheral zone (PZ), and the transition zone (TZ) were delineated on a T2-weighted scan acquired on the first fraction. IVIM and DCE scans were registered to this scan and the delineations were propagated. Median values from these delineations were used for further analysis. The IVIM parameters D, f, D* and the product fD* were calculated. The Tofts model was used to calculate the DCE parameters Ktrans, kep and ve. Pearson correlations were calculated for the IVIM and DCE parameters on values from the first fraction for each region of interest (ROI). For longitudinal analysis, the repeated measures correlation coefficient was used to determine correlations between IVIM and DCE parameters in each ROI. Results When averaging over patients, an increase during treatment in all IVIM and DCE parameters was observed in all ROIs, except for D in the PZ and TZ. No significant Pearson correlations were found between any pair of IVIM and DCE parameters measured on the first fraction. Significant but low longitudinal correlations were found for some combinations of IVIM and DCE parameters in the PZ and TZ, while no significant longitudinal correlations were found in the tumor. Notably in the TZ, for both f and fD*, significant longitudinal correlations with all DCE parameters were found. Conclusions The increase in IVIM- and DCE parameters when averaging over patients indicates a measurable response to radiation treatment with both techniques. Although low, significant longitudinal correlations were found which suggests that IVIM could potentially be used as an alternative to DCE for treatment response monitoring.
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Gouel P, Hapdey S, Dumouchel A, Gardin I, Torfeh E, Hinault P, Vera P, Thureau S, Gensanne D. Synthetic MRI for Radiotherapy Planning for Brain and Prostate Cancers: Phantom Validation and Patient Evaluation. Front Oncol 2022; 12:841761. [PMID: 35515105 PMCID: PMC9065558 DOI: 10.3389/fonc.2022.841761] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Accepted: 03/15/2022] [Indexed: 11/13/2022] Open
Abstract
Purpose We aimed to evaluate the accuracy of T1 and T2 mappings derived from a multispectral pulse sequence (magnetic resonance image compilation, MAGiC®) on 1.5-T MRI and with conventional sequences [gradient echo with variable flip angle (GRE-VFA) and multi-echo spin echo (ME-SE)] compared to the reference values for the purpose of radiotherapy treatment planning. Methods The accuracy of T1 and T2 measurements was evaluated with 2 coils [head and neck unit (HNU) and BODY coils] on phantoms using descriptive statistics and Bland–Altman analysis. The reproducibility and repeatability of T1 and T2 measurements were performed on 15 sessions with the HNU coil. The T1 and T2 synthetic sequences obtained by both methods were evaluated according to quality assurance (QA) requirements for radiotherapy. T1 and T2in vivo measurements of the brain or prostate tissues of two groups of five subjects were also compared. Results The phantom results showed good agreement (mean bias, 8.4%) between the two measurement methods for T1 values between 490 and 2,385 ms and T2 values between 25 and 400 ms. MAGiC® gave discordant results for T1 values below 220 ms (bias with the reference values, from 38% to 1,620%). T2 measurements were accurately estimated below 400 ms (mean bias, 8.5%) by both methods. The QA assessments are in agreement with the recommendations of imaging for contouring purposes for radiotherapy planning. On patient data of the brain and prostate, the measurements of T1 and T2 by the two quantitative MRI (qMRI) methods were comparable (max difference, <7%). Conclusion This study shows that the accuracy, reproducibility, and repeatability of the multispectral pulse sequence (MAGiC®) were compatible with its use for radiotherapy treatment planning in a range of values corresponding to soft tissues. Even validated for brain imaging, MAGiC® could potentially be used for prostate qMRI.
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Affiliation(s)
- Pierrick Gouel
- Quantification en Imagerie Fonctionnelle-Laboratoire d'Informatique, du Traitement de l'Information et des Systèmes Equipe d'accueil 4108 (QuantIF-LITIS EA4108), University of Rouen, Rouen, France.,Imaging Department, Henri Becquerel Cancer Center, Rouen, France
| | - Sebastien Hapdey
- Quantification en Imagerie Fonctionnelle-Laboratoire d'Informatique, du Traitement de l'Information et des Systèmes Equipe d'accueil 4108 (QuantIF-LITIS EA4108), University of Rouen, Rouen, France.,Imaging Department, Henri Becquerel Cancer Center, Rouen, France
| | - Arthur Dumouchel
- Imaging Department, Henri Becquerel Cancer Center, Rouen, France
| | - Isabelle Gardin
- Quantification en Imagerie Fonctionnelle-Laboratoire d'Informatique, du Traitement de l'Information et des Systèmes Equipe d'accueil 4108 (QuantIF-LITIS EA4108), University of Rouen, Rouen, France.,Imaging Department, Henri Becquerel Cancer Center, Rouen, France.,Radiotherapy Department, Henri Becquerel Cancer Center, Rouen, France
| | - Eva Torfeh
- Radiotherapy Department, Henri Becquerel Cancer Center, Rouen, France
| | - Pauline Hinault
- Quantification en Imagerie Fonctionnelle-Laboratoire d'Informatique, du Traitement de l'Information et des Systèmes Equipe d'accueil 4108 (QuantIF-LITIS EA4108), University of Rouen, Rouen, France
| | - Pierre Vera
- Quantification en Imagerie Fonctionnelle-Laboratoire d'Informatique, du Traitement de l'Information et des Systèmes Equipe d'accueil 4108 (QuantIF-LITIS EA4108), University of Rouen, Rouen, France.,Imaging Department, Henri Becquerel Cancer Center, Rouen, France
| | - Sebastien Thureau
- Quantification en Imagerie Fonctionnelle-Laboratoire d'Informatique, du Traitement de l'Information et des Systèmes Equipe d'accueil 4108 (QuantIF-LITIS EA4108), University of Rouen, Rouen, France.,Imaging Department, Henri Becquerel Cancer Center, Rouen, France.,Radiotherapy Department, Henri Becquerel Cancer Center, Rouen, France
| | - David Gensanne
- Quantification en Imagerie Fonctionnelle-Laboratoire d'Informatique, du Traitement de l'Information et des Systèmes Equipe d'accueil 4108 (QuantIF-LITIS EA4108), University of Rouen, Rouen, France.,Imaging Department, Henri Becquerel Cancer Center, Rouen, France.,Radiotherapy Department, Henri Becquerel Cancer Center, Rouen, France
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8
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Kooreman ES, van Houdt PJ, Keesman R, van Pelt VWJ, Nowee ME, Pos F, Sikorska K, Wetscherek A, Müller AC, Thorwarth D, Tree AC, van der Heide UA. Daily Intravoxel Incoherent Motion (IVIM) In Prostate Cancer Patients During MR-Guided Radiotherapy-A Multicenter Study. Front Oncol 2021; 11:705964. [PMID: 34485138 PMCID: PMC8415108 DOI: 10.3389/fonc.2021.705964] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Accepted: 07/16/2021] [Indexed: 12/11/2022] Open
Abstract
PURPOSE Daily quantitative MR imaging during radiotherapy of cancer patients has become feasible with MRI systems integrated with linear accelerators (MR-linacs). Quantitative images could be used for treatment response monitoring. With intravoxel incoherent motion (IVIM) MRI, it is possible to acquire perfusion information without the use of contrast agents. In this multicenter study, daily IVIM measurements were performed in prostate cancer patients to identify changes that potentially reflect response to treatment. MATERIALS AND METHODS Forty-three patients were included, treated with 20 fractions of 3 Gy on a 1.5 T MR-linac. IVIM measurements were performed on each treatment day. The diffusion coefficient (D), perfusion fraction (f), and pseudo-diffusion coefficient (D*) were calculated based on the median signal intensities in the non-cancerous prostate and the tumor. Repeatability coefficients (RCs) were determined based on the first two treatment fractions. Separate linear mixed-effects models were constructed for the three IVIM parameters. RESULTS In total, 726 fractions were analyzed. Pre-treatment average values, measured on the first fraction before irradiation, were 1.46 × 10-3 mm2/s, 0.086, and 28.7 × 10-3 mm2/s in the non-cancerous prostate and 1.19 × 10-3 mm2/s, 0.088, and 28.9 × 10-3 mm2/s in the tumor, for D, f, and D*, respectively. The repeatability coefficients for D, f, and D* in the non-cancerous prostate were 0.09 × 10-3 mm2/s, 0.05, and 15.3 × 10-3 mm2/s. In the tumor, these values were 0.44 × 10-3 mm2/s, 0.16, and 76.4 × 10-3 mm2/s. The mixed effects analysis showed an increase in D of the tumors over the course of treatment, while remaining stable in the non-cancerous prostate. The f and D* increased in both the non-cancerous prostate and tumor. CONCLUSIONS It is feasible to perform daily IVIM measurements on an MR-linac system. Although the repeatability coefficients were high, changes in IVIM perfusion parameters were measured on a group level, indicating that IVIM has potential for measuring treatment response.
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Affiliation(s)
- Ernst S. Kooreman
- Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Petra J. van Houdt
- Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Rick Keesman
- Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Vivian W. J. van Pelt
- Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Marlies E. Nowee
- Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Floris Pos
- Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Karolina Sikorska
- Department of Biometrics, The Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Andreas Wetscherek
- Joint Department of Physics, The Royal Marsden NHS Foundation Trust and The Institute of Cancer Research, London, United Kingdom
| | | | - Daniela Thorwarth
- Section of Biomedical Physics, Department of Radiation Oncology, University of Tübingen, Tübingen, Germany
| | - Alison C. Tree
- Joint Department of Physics, The Royal Marsden NHS Foundation Trust and The Institute of Cancer Research, London, United Kingdom
| | - Uulke A. van der Heide
- Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, Netherlands
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9
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Wang YF, Tadimalla S, Hayden AJ, Holloway L, Haworth A. Artificial intelligence and imaging biomarkers for prostate radiation therapy during and after treatment. J Med Imaging Radiat Oncol 2021; 65:612-626. [PMID: 34060219 DOI: 10.1111/1754-9485.13242] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2021] [Revised: 04/18/2021] [Accepted: 05/02/2021] [Indexed: 12/15/2022]
Abstract
Magnetic resonance imaging (MRI) is increasingly used in the management of prostate cancer (PCa). Quantitative MRI (qMRI) parameters, derived from multi-parametric MRI, provide indirect measures of tumour characteristics such as cellularity, angiogenesis and hypoxia. Using Artificial Intelligence (AI), relevant information and patterns can be efficiently identified in these complex data to develop quantitative imaging biomarkers (QIBs) of tumour function and biology. Such QIBs have already demonstrated potential in the diagnosis and staging of PCa. In this review, we explore the role of these QIBs in monitoring treatment response during and after PCa radiotherapy (RT). Recurrence of PCa after RT is not uncommon, and early detection prior to development of metastases provides an opportunity for salvage treatments with curative intent. However, the current method of monitoring treatment response using prostate-specific antigen levels lacks specificity. QIBs, derived from qMRI and developed using AI techniques, can be used to monitor biological changes post-RT providing the potential for accurate and early diagnosis of recurrent disease.
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Affiliation(s)
- Yu-Feng Wang
- Institute of Medical Physics, School of Physics, Faculty of Science, The University of Sydney, Sydney, New South Wales, Australia
- Ingham Institute for Applied Medical Research, Liverpool, New South Wales, Australia
| | - Sirisha Tadimalla
- Institute of Medical Physics, School of Physics, Faculty of Science, The University of Sydney, Sydney, New South Wales, Australia
| | - Amy J Hayden
- Sydney West Radiation Oncology, Westmead Hospital, Wentworthville, New South Wales, Australia
- Faculty of Medicine, Western Sydney University, Sydney, New South Wales, Australia
- Faculty of Medicine, Health & Human Sciences, Macquarie University, Sydney, New South Wales, Australia
| | - Lois Holloway
- Institute of Medical Physics, School of Physics, Faculty of Science, The University of Sydney, Sydney, New South Wales, Australia
- Ingham Institute for Applied Medical Research, Liverpool, New South Wales, Australia
- Liverpool and Macarthur Cancer Therapy Centre, Liverpool Hospital, Liverpool, New South Wales, Australia
| | - Annette Haworth
- Institute of Medical Physics, School of Physics, Faculty of Science, The University of Sydney, Sydney, New South Wales, Australia
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10
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Rakauskas A, Shah TT, Peters M, Randeva JS, Hosking-Jervis F, Schmainda MJ, Orczyck C, Emberton M, Arya M, Moore C, Ahmed HU. Can quantitative analysis of multi-parametric MRI independently predict failure of focal salvage HIFU therapy in men with radio-recurrent prostate cancer? Urol Oncol 2021; 39:830.e1-830.e8. [PMID: 34049783 PMCID: PMC8639607 DOI: 10.1016/j.urolonc.2021.04.017] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2020] [Revised: 02/28/2021] [Accepted: 04/12/2021] [Indexed: 12/01/2022]
Abstract
Quantitative mpMRI parameters predict failure of salvage HIFU in radiorecurrent prostate cancer Tumour microenvironment might produce heat-sinks which counter the effect of HIFU Ve value measured in the DCE sequence of the mpMRI is an independent predictor of treatment failure
Objectives Focal salvage HIFU is a feasible therapeutic option in some men who have recurrence after primary radiotherapy for prostate cancer. We aimed to determine if multi-parametric quantitative parameters, in addition to clinical factors, might have a role in independently predicting focal salvage HIFU outcomes. Methods A retrospective registry analysis included 150 consecutive men who underwent focal salvage HIFU (Sonablate500) (2006-2015); 89 had mpMRI available. Metastatic disease was excluded by nodal assessment on pelvic MRI, a radioisotope bone-scan and/or choline or FDG PET/CT scan. All men had mpMRI and either transperineal template prostate mapping biopsy or targeted and systematic TRUS-biopsy. mpMRI included T2‐weighted, diffusion‐weighted and dynamic contrast‐enhancement. Pre-HIFU quantitative mpMRI data was obtained using Horos DICOM Viewer v3.3.5 for general MRI parameters and IB DCE v2.0 plug-in. Progression-free survival (PFS) was defined by biochemical failure and/or positive localized or distant imaging results and/or positive biopsy and/or systemic therapy and/or metastases/prostate cancer‐specific death. Potential predictors of PFS were analyzed by univariable and multivariable Cox-regression. Results Median age at focal salvage HIFU was 71 years (interquartile range [IQR] 65–74.5) and median PSA pre-focal salvage treatment was 5.8ng/ml (3.8-8). Median follow-up was 35 months (23-47) and median time to failure was 15 months (7.8–24.3). D-Amico low, intermediate and high-risk disease was present in 1% (1/89), 40% (36/89) and 43% (38/89) prior to focal salvage HIFU (16% missing data). 56% (50/89) failed by the composite outcome. A total of 22 factors were evaluated on univariable and 8 factors on multivariable analysis. The following quantitative parameters were included: Ktrans, Kep, Ve, Vp, IS, rTTP and TTP. On univariable analysis, PSA, prostate volume at time of radiotherapy failure and Ve (median) value were predictors for failure. Ve represents extracellular fraction of the whole tissue volume. On multivariable analysis, only Ve (median) value remained as an independent predictor. Conclusions One pharmacokinetic quantitative parameter based on DCE sequences seems to independently predict failure following focal salvage HIFU for radio-recurrent prostate cancer. This likely relates to the tumor microenvironment producing heat-sinks which counter the heating effect of HIFU. Further validation in larger datasets and evaluating mechanisms to reduce heat-sinks are required.
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Affiliation(s)
- Arnas Rakauskas
- Imperial Prostate, Division of Surgery, Department of Surgery and Cancer, Imperial College, London, UK.
| | - Taimur T Shah
- Imperial Prostate, Division of Surgery, Department of Surgery and Cancer, Imperial College, London, UK
| | - Max Peters
- Department of Radiotherapy, University Medical Center Utrecht, Heidelberglaan, Utrecht, The Netherlands
| | - Jagpal S Randeva
- Imperial Prostate, Division of Surgery, Department of Surgery and Cancer, Imperial College, London, UK
| | - Feargus Hosking-Jervis
- Imperial Prostate, Division of Surgery, Department of Surgery and Cancer, Imperial College, London, UK
| | | | - Clement Orczyck
- Department of Urology, University College London Hospitals NHS Foundation Trust, London, UK
| | - Mark Emberton
- Department of Urology, University College London Hospitals NHS Foundation Trust, London, UK
| | - Manit Arya
- Department of Urology, University College London Hospitals NHS Foundation Trust, London, UK
| | - Caroline Moore
- Department of Urology, University College London Hospitals NHS Foundation Trust, London, UK
| | - Hashim U Ahmed
- Imperial Prostate, Division of Surgery, Department of Surgery and Cancer, Imperial College, London, UK
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11
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Tomaszewski MR, Dominguez-Viqueira W, Ortiz A, Shi Y, Costello JR, Enderling H, Rosenberg SA, Gillies RJ. Heterogeneity analysis of MRI T2 maps for measurement of early tumor response to radiotherapy. NMR IN BIOMEDICINE 2021; 34:e4454. [PMID: 33325086 DOI: 10.1002/nbm.4454] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/24/2020] [Accepted: 11/09/2020] [Indexed: 06/12/2023]
Abstract
External beam radiotherapy (XRT) is a widely used cancer treatment, yet responses vary dramatically among patients. These differences are not accounted for in clinical practice, partly due to a lack of sensitive early response biomarkers. We hypothesize that quantitative magnetic resonance imaging (MRI) measures reflecting tumor heterogeneity can provide a sensitive and robust biomarker of early XRT response. MRI T2 mapping was performed every 72 hours following 10 Gy dose XRT in two models of pancreatic cancer propagated in the hind limb of mice. Interquartile range (IQR) of tumor T2 was presented as a potential biomarker of radiotherapy response compared with tumor growth kinetics, and biological validation was performed through quantitative histology analysis. Quantification of tumor T2 IQR showed sensitivity for detection of XRT-induced tumor changes 72 hours after treatment, outperforming T2-weighted and diffusion-weighted MRI, with very good robustness. Histological comparison revealed that T2 IQR provides a measure of spatial heterogeneity in tumor cell density, related to radiation-induced necrosis. Early IQR changes were found to correlate to subsequent tumor volume changes, indicating promise for treatment response prediction. Our preclinical findings indicate that spatial heterogeneity analysis of T2 MRI can provide a translatable method for early radiotherapy response assessment. We propose that the method may in future be applied for personalization of radiotherapy through adaptive treatment paradigms.
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Affiliation(s)
- Michal R Tomaszewski
- Department of Cancer Physiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - William Dominguez-Viqueira
- Small Imaging Laboratory Core Facility, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Antonio Ortiz
- Analytical Microscopy Core Facility, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Yu Shi
- Department of Radiology, ShengJing Hospital of China Medical University, Shenyang, China
| | - James R Costello
- Department of Radiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Heiko Enderling
- Department of Integrated Mathematical Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
- Department of Radiation Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Stephen A Rosenberg
- Department of Radiation Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Robert J Gillies
- Department of Cancer Physiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
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12
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Chen J, Zhang W, Chen H, Wang Y, Li Z, Wu H, Zhang J, Wang Z. Imaging and clinical features of giant multilocular prostatic cystadenoma: A case report. Medicine (Baltimore) 2020; 99:e22666. [PMID: 33031331 PMCID: PMC7544421 DOI: 10.1097/md.0000000000022666] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
RATIONALE Giant multilocular prostatic cystadenoma (GMPC) is a rare type of prostatic epithelial neoplasm. Thus, the imaging features of this condition are not well known. We report the imaging and clinical manifestations of a case of GMPC. PATIENT CONCERNS The case reported here relates to a 71-year-old man who complained of urination frequency and excessive urination at night. He underwent computed tomography (CT) and magnetic resonance imaging (MRI) examination before surgery, both tests revealed a mass body in the prostate. DIAGNOSIS Ultrasound-guided fine needle aspiration was performed and a diagnosis of GMPC was made by histological examination. INTERVENTIONS The patient received radical pelvic tumor resection successfully. OUTCOMES Two months after surgery, the follow-up CT and magnetic MRI re-examination found no signs of recurrence. LESSONS GMPC is a rare prostatic neoplasm with atypical clinical symptoms. MRI provides valuable information about GMPC. In case of a giant multilocular prostatic mass with well-defined boundary and abundant vascularity, benign feature on diffusion-weighted imaging, GMPC should be considered.
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Affiliation(s)
- Jingya Chen
- Department of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing
| | - Wei Zhang
- Department of Radiology, Affiliated Hospital of Integrated Traditional Chinese and Western medicine, Nanjing University of Chinese Medicine
| | - Hu Chen
- Department of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing
| | - Yajing Wang
- Department of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing
| | - Zhengjun Li
- Department of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing
| | - Huiming Wu
- Department of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing
| | - Jian Zhang
- Department of Radiology, Liyang Traditional Chinese Medicine Hospital, Jiangsu China
| | - Zhongqiu Wang
- Department of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing
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13
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Bergamin S, Eade T, Kneebone A, Booth J, Hsiao E, Schembri GP, Szymura K, Le A, Kwong C, Brown C, Hunter J, Hruby G. Interim Results of a Prospective Prostate-Specific Membrane Antigen-Directed Focal Stereotactic Reirradiation Trial for Locally Recurrent Prostate Cancer. Int J Radiat Oncol Biol Phys 2020; 108:1172-1178. [PMID: 32659332 DOI: 10.1016/j.ijrobp.2020.07.014] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Revised: 06/23/2020] [Accepted: 07/04/2020] [Indexed: 12/31/2022]
Abstract
PURPOSE To report the feasibility, toxicity, and preliminary outcomes (metabolic and biochemical) of 68Ga-prostate-specific membrane antigen (PSMA) positron emission tomography/computed tomography (PET/CT)-directed focal prostate reirradiation using linear accelerator (LINAC)-based stereotactic body radiation treatment (SBRT). METHODS AND MATERIALS From March 2016 to March 2019, 25 patients were enrolled in a prospective single institution trial (ACTRN12617000035325). Eligibility criteria included patients with biopsy proven isolated prostate recurrence after definitive irradiation, with concordant multiparametric MRI and 68Ga-PSMA PET/CT findings, and a prostate-specific antigen of less than 15 ng/mL at the time of recurrence. The study included a sequential dose escalation component with the first 18 patients receiving 36 Gy in 6 fractions on alternate days with subsequent patients receiving 38 Gy in 6 fractions assuming acceptable toxicity. RESULTS Median age was 72 years (range, 62-83) with a median time between first radiation treatment and salvage SBRT of 8.3 years (range, 4.5- 13.6). Median prostate-specific antigen at reirradiation was 4.1 (range, 1.1-16.6). The median follow-up was 25 months (range, 13-46). Acute grade 1 and 2 genitourinary (GU) toxicity occurred in 6 (24%) and 1 (4%) men, respectively. Acute grade 1 gastrointestinal (GI) toxicity occurred in 8% with one acute grade 3 GI toxicity (4%) due to a rectal ulcer overlying the hydrogel. Late grade 1 and 2 GU toxicity occurred in 28% and 4%. Late grade 1 GI toxicity occurred in 8% with no grade 2 or greater toxicity. Twenty-four patients have undergone per-protocol 12-month 68Ga-PSMA PET/CT, of which 23 (92%) demonstrated a complete metabolic response. Biochemical freedom from failure was 80% at 2 years with 3 out of 4 of the biochemical failures exhibiting recurrent local disease. CONCLUSIONS PSMA-directed salvage focal reirradiation to the prostate using linear accelerator-based SBRT is feasible and safe. Toxicity was low, with very favorable short term local and biochemical control in a carefully selected cohort of patients.
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Affiliation(s)
- Sarah Bergamin
- Northern Sydney Cancer Centre, Radiation Oncology Unit, Royal North Shore Hospital, St Leonards, Sydney, New South Wales, Australia; Northern Sydney Clinical School, University of Sydney, Sydney, Australia
| | - Thomas Eade
- Northern Sydney Cancer Centre, Radiation Oncology Unit, Royal North Shore Hospital, St Leonards, Sydney, New South Wales, Australia; Northern Sydney Clinical School, University of Sydney, Sydney, Australia
| | - Andrew Kneebone
- Northern Sydney Cancer Centre, Radiation Oncology Unit, Royal North Shore Hospital, St Leonards, Sydney, New South Wales, Australia; Northern Sydney Clinical School, University of Sydney, Sydney, Australia
| | - Jeremy Booth
- Northern Sydney Cancer Centre, Radiation Oncology Unit, Royal North Shore Hospital, St Leonards, Sydney, New South Wales, Australia
| | - Edward Hsiao
- Department of Nuclear Medicine and PET, Royal North Shore Hospital, Australia
| | - Geoffrey P Schembri
- Department of Nuclear Medicine and PET, Royal North Shore Hospital, Australia
| | - Kathryn Szymura
- Northern Sydney Cancer Centre, Radiation Oncology Unit, Royal North Shore Hospital, St Leonards, Sydney, New South Wales, Australia
| | - Andrew Le
- Northern Sydney Cancer Centre, Radiation Oncology Unit, Royal North Shore Hospital, St Leonards, Sydney, New South Wales, Australia
| | - Carol Kwong
- Northern Sydney Cancer Centre, Radiation Oncology Unit, Royal North Shore Hospital, St Leonards, Sydney, New South Wales, Australia
| | - Chris Brown
- Northern Sydney Cancer Centre, Radiation Oncology Unit, Royal North Shore Hospital, St Leonards, Sydney, New South Wales, Australia; National Health and Medical Research Council, Clinical Trials Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Julia Hunter
- Northern Sydney Cancer Centre, Radiation Oncology Unit, Royal North Shore Hospital, St Leonards, Sydney, New South Wales, Australia
| | - George Hruby
- Northern Sydney Cancer Centre, Radiation Oncology Unit, Royal North Shore Hospital, St Leonards, Sydney, New South Wales, Australia; Northern Sydney Clinical School, University of Sydney, Sydney, Australia.
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14
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Corkum MT, Mendez LC, Chin J, D’Souza D, Boldt RG, Bauman GS. A Novel Salvage Option for Local Failure in Prostate Cancer, Reirradiation Using External Beam or Stereotactic Radiation Therapy: Systematic Review and Meta-Analysis. Adv Radiat Oncol 2020; 5:965-977. [PMID: 33083660 PMCID: PMC7557139 DOI: 10.1016/j.adro.2020.04.022] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2019] [Revised: 03/11/2020] [Accepted: 04/25/2020] [Indexed: 02/07/2023] Open
Abstract
Purpose Reirradiation (re-RT) using external beam radiation therapy (EBRT) is a novel salvage strategy for local failure in prostate cancer. We performed a systematic review describing oncologic and toxicity outcomes for salvage EBRT/stereotactic radiation therapy (SBRT) re-RT. Methods and Materials A International Prospective Register of Systematic Reviews registered (#141466) systematic review, meta-analysis, and meta-regression was conducted using preferred reporting items for systematic reviews and meta-analyses guidelines. PubMed and EMBASE were searched from inception through September 2019. Outcome measures included local control (LC), biochemical relapse free survival (BRFS), and ≥grade 3 genitourinary (GU)/gastrointestinal (GI) toxicity. EBRT and SBRT data were collected separately. Meta-regression explored disease and toxicity outcomes as a function of equivalent dose in 2 Gy fractions (EQD2), length of follow-up, and partial versus whole prostate reirradiation. Results Nineteen studies representing 13 cohorts were included (428 patients). Weighted mean follow-up was 26.1 months. Median re-RT EQD2 was 77.1 Gy (α/β = 1.5), with 92% of patients receiving SBRT, 52.1% of patients receiving partial prostate re-RT, and 30.1% of patients receiving androgen deprivation therapy with re-RT. LC was 83.2% (95% confidence interval [CI], 75.5%-90.9%) and BRFS was 59.3% (47.9%-70.7%). Reported late toxicity ≥grade 3 was 3.4% (95% CI, 1.0%-5.8%) for GU and 2.0% (95% CI, 0.1%-4.0%) for GI. Meta-regression found higher LC, BRFS, and reported GU/GI toxicity with increasing EQD2, with partial prostate re-RT associated with less reported GU/GI toxicity and no detriment to LC and BRFS. Conclusions Salvage re-RT using EBRT, particularly with SBRT, is an emerging technique to treat isolated local failure of prostate cancer. With short-term follow-up, LC, BRFS, and reported toxicities appear reasonable, although further follow-up is required before definitive statements on late toxicities can be made. Our review is limited by incomplete reporting of androgen deprivation therapy use in the primary literature. Further prospective studies and longer follow-up are needed before considering re-RT as standard practice.
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Affiliation(s)
- Mark T. Corkum
- Department of Radiation Oncology, London Health Sciences Centre, London, Canada
| | - Lucas C. Mendez
- Department of Radiation Oncology, London Health Sciences Centre, London, Canada
| | - Joseph Chin
- Department of Urology, London Health Sciences Centre, London, Canada
| | - David D’Souza
- Department of Radiation Oncology, London Health Sciences Centre, London, Canada
| | - R. Gabriel Boldt
- Department of Radiation Oncology, London Health Sciences Centre, London, Canada
| | - Glenn S. Bauman
- Department of Radiation Oncology, London Health Sciences Centre, London, Canada
- Corresponding author: Glenn S. Bauman, MD
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15
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Kurz C, Buizza G, Landry G, Kamp F, Rabe M, Paganelli C, Baroni G, Reiner M, Keall PJ, van den Berg CAT, Riboldi M. Medical physics challenges in clinical MR-guided radiotherapy. Radiat Oncol 2020; 15:93. [PMID: 32370788 PMCID: PMC7201982 DOI: 10.1186/s13014-020-01524-4] [Citation(s) in RCA: 86] [Impact Index Per Article: 17.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2019] [Accepted: 03/24/2020] [Indexed: 12/18/2022] Open
Abstract
The integration of magnetic resonance imaging (MRI) for guidance in external beam radiotherapy has faced significant research and development efforts in recent years. The current availability of linear accelerators with an embedded MRI unit, providing volumetric imaging at excellent soft tissue contrast, is expected to provide novel possibilities in the implementation of image-guided adaptive radiotherapy (IGART) protocols. This study reviews open medical physics issues in MR-guided radiotherapy (MRgRT) implementation, with a focus on current approaches and on the potential for innovation in IGART.Daily imaging in MRgRT provides the ability to visualize the static anatomy, to capture internal tumor motion and to extract quantitative image features for treatment verification and monitoring. Those capabilities enable the use of treatment adaptation, with potential benefits in terms of personalized medicine. The use of online MRI requires dedicated efforts to perform accurate dose measurements and calculations, due to the presence of magnetic fields. Likewise, MRgRT requires dedicated quality assurance (QA) protocols for safe clinical implementation.Reaction to anatomical changes in MRgRT, as visualized on daily images, demands for treatment adaptation concepts, with stringent requirements in terms of fast and accurate validation before the treatment fraction can be delivered. This entails specific challenges in terms of treatment workflow optimization, QA, and verification of the expected delivered dose while the patient is in treatment position. Those challenges require specialized medical physics developments towards the aim of fully exploiting MRI capabilities. Conversely, the use of MRgRT allows for higher confidence in tumor targeting and organs-at-risk (OAR) sparing.The systematic use of MRgRT brings the possibility of leveraging IGART methods for the optimization of tumor targeting and quantitative treatment verification. Although several challenges exist, the intrinsic benefits of MRgRT will provide a deeper understanding of dose delivery effects on an individual basis, with the potential for further treatment personalization.
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Affiliation(s)
- Christopher Kurz
- Department of Radiation Oncology, University Hospital, LMU Munich, Marchioninistraße 15, 81377, Munich, Germany
- Department of Medical Physics, Ludwig-Maximilians-Universität München, Am Coulombwall 1, 85748, Garching, Germany
| | - Giulia Buizza
- Department of Electronics, Information and Bioengineering, Politecnico di Milano, P.za Leonardo da Vinci 32, 20133, Milano, Italy
| | - Guillaume Landry
- Department of Radiation Oncology, University Hospital, LMU Munich, Marchioninistraße 15, 81377, Munich, Germany
- Department of Medical Physics, Ludwig-Maximilians-Universität München, Am Coulombwall 1, 85748, Garching, Germany
- German Cancer Consortium (DKTK), 81377, Munich, Germany
| | - Florian Kamp
- Department of Radiation Oncology, University Hospital, LMU Munich, Marchioninistraße 15, 81377, Munich, Germany
| | - Moritz Rabe
- Department of Radiation Oncology, University Hospital, LMU Munich, Marchioninistraße 15, 81377, Munich, Germany
| | - Chiara Paganelli
- Department of Electronics, Information and Bioengineering, Politecnico di Milano, P.za Leonardo da Vinci 32, 20133, Milano, Italy
| | - Guido Baroni
- Department of Electronics, Information and Bioengineering, Politecnico di Milano, P.za Leonardo da Vinci 32, 20133, Milano, Italy
- Bioengineering Unit, National Center of Oncological Hadrontherapy (CNAO), Strada Privata Campeggi 53, 27100, Pavia, Italy
| | - Michael Reiner
- Department of Radiation Oncology, University Hospital, LMU Munich, Marchioninistraße 15, 81377, Munich, Germany
| | - Paul J Keall
- ACRF Image X Institute, University of Sydney, Sydney, NSW, 2006, Australia
| | - Cornelis A T van den Berg
- Department of Radiotherapy, University Medical Centre Utrecht, PO box 85500, 3508 GA, Utrecht, The Netherlands
| | - Marco Riboldi
- Department of Medical Physics, Ludwig-Maximilians-Universität München, Am Coulombwall 1, 85748, Garching, Germany.
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16
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van Schie MA, van Houdt PJ, Ghobadi G, Pos FJ, Walraven I, de Boer HCJ, van den Berg CAT, Smeenk RJ, Kerkmeijer LGW, van der Heide UA. Quantitative MRI Changes During Weekly Ultra-Hypofractionated Prostate Cancer Radiotherapy With Integrated Boost. Front Oncol 2019; 9:1264. [PMID: 31867266 PMCID: PMC6904955 DOI: 10.3389/fonc.2019.01264] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2019] [Accepted: 10/31/2019] [Indexed: 01/29/2023] Open
Abstract
Purpose: Quantitative MRI reflects tissue characteristics. As possible changes during radiotherapy may lead to treatment adaptation based on response, we here assessed if such changes during treatment can be detected. Methods and Materials: In the hypoFLAME trial patients received ultra-hypofractionated prostate radiotherapy with an integrated boost to the tumor in 5 weekly fractions. We analyzed T2 and ADC maps of 47 patients that were acquired in MRI exams prior to and during radiotherapy, and performed rigid registrations based on the prostate contour on anatomical T2-weighted images. We analyzed median T2 and ADC values in three regions of interest (ROIs): the central gland (CG), peripheral zone (PZ), and tumor. We analyzed T2 and ADC changes during treatment and compared patients with and without hormonal therapy. We tested changes during treatment for statistical significance with Wilcoxon signed rank tests. Using confidence intervals as recommended from test-retest measurements, we identified persistent T2 and ADC changes during treatment. Results: In the CG, median T2 and ADC values significantly decreased 12 and 8%, respectively, in patients that received hormonal therapy, while in the PZ these values decreased 17 and 18%. In the tumor no statistically significant change was observed. In patients that did not receive hormonal therapy, median ADC values in the tumor increased with 20%, while in the CG and PZ no changes were observed. Persistent T2 changes in the tumor were found in 2 out of 24 patients, while none of the 47 patients had persistent ADC changes. Conclusions: Weekly quantitative MRI could identify statistically significant ADC changes in the tumor in patients without hormonal therapy. On a patient level few persistent T2 changes in the tumor were observed. Long-term follow-up is required to relate the persistent T2 and ADC changes to outcome and evaluate the applicability of quantitative MRI for response based treatment adaptation.
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Affiliation(s)
- Marcel A van Schie
- Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Petra J van Houdt
- Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Ghazaleh Ghobadi
- Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Floris J Pos
- Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Iris Walraven
- Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Hans C J de Boer
- Department of Radiation Oncology, University Medical Center Utrecht, Utrecht, Netherlands
| | | | - Robert Jan Smeenk
- Department of Radiation Oncology, Radboud University Medical Center, Nijmegen, Netherlands
| | - Linda G W Kerkmeijer
- Department of Radiation Oncology, University Medical Center Utrecht, Utrecht, Netherlands.,Department of Radiation Oncology, Radboud University Medical Center, Nijmegen, Netherlands
| | - Uulke A van der Heide
- Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, Netherlands
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17
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Wu X, Reinikainen P, Kapanen M, Vierikko T, Ryymin P, Kellokumpu-Lehtinen PL. Monitoring radiotherapy induced tissue changes in localized prostate cancer by multi-parametric magnetic resonance imaging (MP-MRI). Diagn Interv Imaging 2019; 100:699-708. [DOI: 10.1016/j.diii.2019.06.003] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2019] [Revised: 05/28/2019] [Accepted: 06/05/2019] [Indexed: 01/11/2023]
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18
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Houdt PJ, Ghobadi G, Schoots IG, Heijmink SW, Jong J, Poel HG, Pos FJ, Rylander S, Bentzen L, Haustermans K, Heide UA. Histopathological Features of MRI‐Invisible Regions of Prostate Cancer Lesions. J Magn Reson Imaging 2019; 51:1235-1246. [DOI: 10.1002/jmri.26933] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2019] [Revised: 09/04/2019] [Accepted: 09/05/2019] [Indexed: 12/15/2022] Open
Affiliation(s)
- Petra J. Houdt
- Department of Radiation Oncologythe Netherlands Cancer Institute Amsterdam The Netherlands
| | - Ghazaleh Ghobadi
- Department of Radiation Oncologythe Netherlands Cancer Institute Amsterdam The Netherlands
| | - Ivo G. Schoots
- Department of Radiologythe Netherlands Cancer Institute Amsterdam The Netherlands
- Department of Radiology and Nuclear MedicineErasmus University Medical Center Rotterdam The Netherlands
| | | | - Jeroen Jong
- Department of Pathologythe Netherlands Cancer Institute Amsterdam The Netherlands
| | - Henk G. Poel
- Department of Urologythe Netherlands Cancer Institute Amsterdam The Netherlands
| | - Floris J. Pos
- Department of Radiation Oncologythe Netherlands Cancer Institute Amsterdam The Netherlands
| | - Susanne Rylander
- Department of Medical PhysicsAarhus University Hospital Aarhus Denmark
| | - Lise Bentzen
- Department of OncologyAarhus University Hospital Aarhus Denmark
| | - Karin Haustermans
- Department of Radiation OncologyUniversity Hospitals Leuven Leuven Belgium
| | - Uulke A. Heide
- Department of Radiation Oncologythe Netherlands Cancer Institute Amsterdam The Netherlands
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19
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Dinis Fernandes C, Simões R, Ghobadi G, Heijmink SW, Schoots IG, de Jong J, Walraven I, van der Poel HG, van Houdt PJ, Smolic M, Pos FJ, van der Heide UA. Multiparametric MRI Tumor Probability Model for the Detection of Locally Recurrent Prostate Cancer After Radiation Therapy: Pathologic Validation and Comparison With Manual Tumor Delineations. Int J Radiat Oncol Biol Phys 2019; 105:140-148. [DOI: 10.1016/j.ijrobp.2019.05.003] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2019] [Revised: 04/17/2019] [Accepted: 05/05/2019] [Indexed: 12/12/2022]
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