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Dai Z, Jambor I, Taimen P, Pantelic M, Elshaikh M, Dabaja A, Rogers C, Ettala O, Boström PJ, Aronen HJ, Merisaari H, Wen N. Prostate cancer detection and segmentation on MRI using non-local mask R-CNN with histopathological ground truth. Med Phys 2023; 50:7748-7763. [PMID: 37358061 DOI: 10.1002/mp.16557] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 05/04/2023] [Accepted: 05/29/2023] [Indexed: 06/27/2023] Open
Abstract
BACKGROUND Automatic detection and segmentation of intraprostatic lesions (ILs) on preoperative multiparametric-magnetic resonance images (mp-MRI) can improve clinical workflow efficiency and enhance the diagnostic accuracy of prostate cancer and is an essential step in dominant intraprostatic lesion boost. PURPOSE The goal is to improve the detection and segmentation accuracy of 3D ILs in MRI by a proposed a deep learning (DL)-based algorithm with histopathological ground truth. METHODS This retrospective study included 262 patients with in vivo prostate biparametric MRI (bp-MRI) scans and were divided into three cohorts based on their data analysis and annotation. Histopathological ground truth was established by using histopathology images as delineation reference standard on cohort 1, which consisted of 64 patients and was randomly split into 20 training, 12 validation, and 32 testing patients. Cohort 2 consisted of 158 patients with bp-MRI based lesion delineation, and was randomly split into 104 training, 15 validation, and 39 testing patients. Cohort 3 consisted of 40 unannotated patients, used in semi-supervised learning. We proposed a non-local Mask R-CNN and boosted its performance by applying different training techniques. The performance of non-local Mask R-CNN was compared with baseline Mask R-CNN, 3D U-Net and an experienced radiologist's delineation and was evaluated by detection rate, dice similarity coefficient (DSC), sensitivity, and Hausdorff Distance (HD). RESULTS The independent testing set consists of 32 patients with histopathological ground truth. With the training technique maximizing detection rate, the non-local Mask R-CNN achieved 80.5% and 94.7% detection rate; 0.548 and 0.604 DSC; 5.72 and 6.36 95 HD (mm); 0.613 and 0.580 sensitivity for ILs of all Gleason Grade groups (GGGs) and clinically significant ILs (GGG > 2), which outperformed baseline Mask R-CNN and 3D U-Net. For clinically significant ILs, the model segmentation accuracy was significantly higher than that of the experienced radiologist involved in the study, who achieved 0.512 DSC (p = 0.04), 8.21 (p = 0.041) 95 HD (mm), and 0.398 (p = 0.001) sensitivity. CONCLUSION The proposed DL model achieved state-of-art performance and has the potential to help improve radiotherapy treatment planning and noninvasive prostate cancer diagnosis.
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Affiliation(s)
- Zhenzhen Dai
- Department of Radiation Oncology, Henry Ford Health System, Detroit, Michigan, USA
| | - Ivan Jambor
- Department of Diagnostic Radiology, University of Turku, Turku, Finland
| | - Pekka Taimen
- Institute of Biomedicine and FICAN West Cancer Centre, University of Turku, Turku, Finland
- Department of Pathology, Turku University Hospital, Turku, Finland
| | - Milan Pantelic
- Department of Radiology, Henry Ford Health System, Detroit, Michigan, USA
| | - Mohamed Elshaikh
- Department of Radiation Oncology, Henry Ford Health System, Detroit, Michigan, USA
| | - Ali Dabaja
- Vattikuti Urology Institute, Henry Ford Health System, Detroit, Michigan, USA
| | - Craig Rogers
- Vattikuti Urology Institute, Henry Ford Health System, Detroit, Michigan, USA
| | - Otto Ettala
- Department of Clinical Medicine, University of Turku, Turku, Finland
| | - Peter J Boström
- Department of Clinical Medicine, University of Turku, Turku, Finland
| | - Hannu J Aronen
- Department of Diagnostic Radiology, University of Turku, Turku, Finland
| | - Harri Merisaari
- Institute of Biomedicine and FICAN West Cancer Centre, University of Turku, Turku, Finland
| | - Ning Wen
- Department of Radiology, Ruijin Hospital Shanghai Jiaotong University School of Medicine, Shanghai, China
- The Global Institute of Future Technology, Shanghai Jiaotong University, Shanghai, China
- SJTU-Ruijin-UIH Institute for Medical Imaging Technology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
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Houlihan OA, Redmond K, Fairmichael C, Lyons CA, McGarry CK, Mitchell D, Cole A, O'Connor J, McMahon S, Irvine D, Hyland W, Hanna M, Prise KM, Hounsell AR, O'Sullivan JM, Jain S. A Randomized Feasibility Trial of Stereotactic Prostate Radiation Therapy With or Without Elective Nodal Irradiation in High-Risk Localized Prostate Cancer (SPORT Trial). Int J Radiat Oncol Biol Phys 2023; 117:594-609. [PMID: 36893820 DOI: 10.1016/j.ijrobp.2023.02.054] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 02/06/2023] [Accepted: 02/25/2023] [Indexed: 03/11/2023]
Abstract
PURPOSE The aim of this study was to establish the feasibility of a randomized clinical trial comparing SABR with prostate-only (P-SABR) or with prostate plus pelvic lymph nodes (PPN-SABR) in patients with unfavorable intermediate- or high-risk localized prostate cancer and to explore potential toxicity biomarkers. METHODS AND MATERIALS Thirty adult men with at least 1 of the following features were randomized 1:1 to P-SABR or PPN-SABR: clinical magnetic resonance imaging stage T3a N0 M0, Gleason score ≥7 (4+3), and prostate-specific antigen >20 ng/mL. P-SABR patients received 36.25 Gy/5 fractions/29 days, and PPN-SABR patients received 25 Gy/5 fractions to pelvic nodes, with the final cohort receiving a boost to the dominant intraprostatic lesion of 45 to 50 Gy. Phosphorylated gamma-H2AX (γH2AX) foci numbers, citrulline levels, and circulating lymphocyte counts were quantified. Acute toxicity information (Common Terminology Criteria for Adverse Events, version 4.03) was collected weekly at each treatment and at 6 weeks and 3 months. Physician-reported late Radiation Therapy Oncology Group (RTOG) toxicity was recorded from 90 days to 36 months postcompletion of SABR. Patient-reported quality of life (Expanded Prostate Cancer Index Composite and International Prostate Symptom Score) scores were recorded with each toxicity time point. RESULTS The target recruitment was achieved, and treatment was successfully delivered in all patients. A total of 0% and 6.7% (P-SABR) and 6.7% and 20.0% (PPN-SABR) experienced acute grade ≥2 gastrointestinal (GI) and genitourinary (GU) toxicity, respectively. At 3 years, 6.7% and 6.7% (P-SABR) and 13.3% and 33.3% (PPN-SABR) had experienced late grade ≥2 GI and GU toxicity, respectively. One patient (PPN-SABR) had late grade 3 GU toxicity (cystitis and hematuria). No other grade ≥3 toxicity was observed. In addition, 33.3% and 60% (P-SABR) and 64.3% and 92.9% (PPN-SABR) experienced a minimally clinically important change in late Expanded Prostate Cancer Index Composite bowel and urinary summary scores, respectively. γH2AX foci numbers at 1 hour after the first fraction were significantly higher in the PPN-SABR arm compared with the P-SABR arm (P = .04). Patients with late grade ≥1 GI toxicity had significantly greater falls in circulating lymphocytes (12 weeks post-radiation therapy, P = .01) and a trend toward higher γH2AX foci numbers (P = .09) than patients with no late toxicity. Patients with late grade ≥1 bowel toxicity and late diarrhea experienced greater falls in citrulline levels (P = .05). CONCLUSIONS A randomized trial comparing P-SABR with PPN-SABR is feasible with acceptable toxicity. Correlations of γH2AX foci, lymphocyte counts, and citrulline levels with irradiated volume and toxicity suggest potential as predictive biomarkers. This study has informed a multicenter, randomized, phase 3 clinical trial in the United Kingdom.
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Affiliation(s)
- Orla A Houlihan
- Department of Clinical Oncology, Northern Ireland Cancer Centre, Belfast Health and Social Care Trust, Belfast, Northern Ireland; Patrick G. Johnston Centre for Cancer Research, Queen's University Belfast, Belfast, Northern Ireland.
| | - Kelly Redmond
- Patrick G. Johnston Centre for Cancer Research, Queen's University Belfast, Belfast, Northern Ireland
| | - Ciaran Fairmichael
- Department of Clinical Oncology, Northern Ireland Cancer Centre, Belfast Health and Social Care Trust, Belfast, Northern Ireland; Patrick G. Johnston Centre for Cancer Research, Queen's University Belfast, Belfast, Northern Ireland
| | - Ciara A Lyons
- Department of Clinical Oncology, Northern Ireland Cancer Centre, Belfast Health and Social Care Trust, Belfast, Northern Ireland; Patrick G. Johnston Centre for Cancer Research, Queen's University Belfast, Belfast, Northern Ireland
| | - Conor K McGarry
- Department of Radiotherapy Medical Physics, Northern Ireland Cancer Centre, Belfast Health and Social Care Trust, Belfast, Northern Ireland
| | - Darren Mitchell
- Department of Clinical Oncology, Northern Ireland Cancer Centre, Belfast Health and Social Care Trust, Belfast, Northern Ireland
| | - Aidan Cole
- Department of Clinical Oncology, Northern Ireland Cancer Centre, Belfast Health and Social Care Trust, Belfast, Northern Ireland
| | - John O'Connor
- Patrick G. Johnston Centre for Cancer Research, Queen's University Belfast, Belfast, Northern Ireland
| | - Stephen McMahon
- Patrick G. Johnston Centre for Cancer Research, Queen's University Belfast, Belfast, Northern Ireland
| | - Denise Irvine
- Department of Radiotherapy Medical Physics, Northern Ireland Cancer Centre, Belfast Health and Social Care Trust, Belfast, Northern Ireland
| | - Wendy Hyland
- Department of Radiotherapy Medical Physics, Northern Ireland Cancer Centre, Belfast Health and Social Care Trust, Belfast, Northern Ireland
| | - Michael Hanna
- Northern Ireland Cancer Trials Network, Belfast City Hospital, Belfast, Northern Ireland
| | - Kevin M Prise
- Patrick G. Johnston Centre for Cancer Research, Queen's University Belfast, Belfast, Northern Ireland
| | - Alan R Hounsell
- Department of Radiotherapy Medical Physics, Northern Ireland Cancer Centre, Belfast Health and Social Care Trust, Belfast, Northern Ireland
| | - Joe M O'Sullivan
- Department of Clinical Oncology, Northern Ireland Cancer Centre, Belfast Health and Social Care Trust, Belfast, Northern Ireland
| | - Suneil Jain
- Department of Clinical Oncology, Northern Ireland Cancer Centre, Belfast Health and Social Care Trust, Belfast, Northern Ireland; Patrick G. Johnston Centre for Cancer Research, Queen's University Belfast, Belfast, Northern Ireland
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Benitez CM, Steinberg ML, Cao M, Qi XS, Lamb JM, Kishan AU, Valle LF. MRI-Guided Radiation Therapy for Prostate Cancer: The Next Frontier in Ultrahypofractionation. Cancers (Basel) 2023; 15:4657. [PMID: 37760626 PMCID: PMC10526919 DOI: 10.3390/cancers15184657] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2023] [Revised: 09/06/2023] [Accepted: 09/18/2023] [Indexed: 09/29/2023] Open
Abstract
Technological advances in MRI-guided radiation therapy (MRIgRT) have improved real-time visualization of the prostate and its surrounding structures over CT-guided radiation therapy. Seminal studies have demonstrated safe dose escalation achieved through ultrahypofractionation with MRIgRT due to planning target volume (PTV) margin reduction and treatment gating. On-table adaptation with MRI-based technologies can also incorporate real-time changes in target shape and volume and can reduce high doses of radiation to sensitive surrounding structures that may move into the treatment field. Ongoing clinical trials seek to refine ultrahypofractionated radiotherapy treatments for prostate cancer using MRIgRT. Though these studies have the potential to demonstrate improved biochemical control and reduced side effects, limitations concerning patient treatment times and operational workflows may preclude wide adoption of this technology outside of centers of excellence. In this review, we discuss the advantages and limitations of MRIgRT for prostate cancer, as well as clinical trials testing the efficacy and toxicity of ultrafractionation in patients with localized or post-prostatectomy recurrent prostate cancer.
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Affiliation(s)
| | | | | | | | | | | | - Luca F. Valle
- Department of Radiation Oncology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095-6951, USA (X.S.Q.)
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Takayesu JSK, Heckman P, Short E, Hurley P, Narayana V, McLaughlin PW. Quality rectal hydrogel placement allows for gel-enabled dose-escalated EBRT (GEDE-EBRT) without rectal interference in prostate cancer. Med Dosim 2023; 48:286-292. [PMID: 37666707 DOI: 10.1016/j.meddos.2023.07.004] [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: 05/12/2023] [Revised: 06/29/2023] [Accepted: 07/31/2023] [Indexed: 09/06/2023]
Abstract
Multiple trials have shown that dose-escalation of radiation for prostate cancer provides a biochemical progression-free survival benefit (bPFS); however, rectal constraints are often limiting. In this dosimetric study, we hypothesized that a well-placed rectal hydrogel (RH) would permit improved dose-escalation and target coverage. We selected patients with good-quality RH and created plans with and without RH, prescribing 70 Gy in 28 fractions to the prostate and proximal seminal vesicles (PSV), and a peripheral zone (PZ) boost to 84 Gy, 98 Gy, or 112 Gy. We then compared plans with and without RH, prescribing a 112 Gy boost to 1 to 2 cm simulated dominant intraprostatic lesions (DIL). In the 18 plans created with a PZ boost, the PTV_boost D95% was higher in RH plans compared to non-RH plans (median 98.5 Gy vs 75.53 Gy, p < 0.01). The PSV planning target volume (PTV_PSV) D95% was also marginally higher with RH (71.87 Gy vs 71.04 Gy, p < 0.01). All rectal metrics were improved with RH. For the 32 plans created for simulated DILs treated to 112 Gy, the PTV_boost coverage (median D95% 112.48 Gy vs 102.63 Gy, p < 0.01) and rectal metrics were improved with RH. Four non-RH plans with at least a 4 mm rectal-PTV_boost gap achieved D95% > 98% of the prescription dose for the PTV_boost. Our study showed that placement of a high-quality RH allowed for GEDE-EBRT up to 112 Gy in 28 fractions (EQD2 160 Gy with α/β = 2.5). This concept should be tested prospectively, particularly to assess for increases in nonrectal toxicities.
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Affiliation(s)
- Jamie S K Takayesu
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, USA.
| | - Paul Heckman
- Department of Radiation Oncology, Assarian Cancer Center, Ascension Providence Hospital, Novi, MI, USA
| | - Eric Short
- Department of Radiation Oncology, Assarian Cancer Center, Ascension Providence Hospital, Novi, MI, USA
| | - Patrick Hurley
- Department of Urology, Ascension Providence Hospital, Novi, MI, USA
| | - Vrinda Narayana
- Department of Radiation Oncology, University of Michigan, Ann Arbor, MI, USA
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Janopaul‐Naylor JR, Corriher TJ, Switchenko J, Hanasoge S, Esdaille A, Mahal BA, Filson CP, Patel SA. Disparities in time to prostate cancer treatment initiation before and after the Affordable Care Act. Cancer Med 2023; 12:18258-18268. [PMID: 37537835 PMCID: PMC10523962 DOI: 10.1002/cam4.6419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 06/19/2023] [Accepted: 07/26/2023] [Indexed: 08/05/2023] Open
Abstract
BACKGROUND Delayed access to care may contribute to disparities in prostate cancer (PCa). The Affordable Care Act (ACA) aimed at increasing access and reducing healthcare disparities, but its impact on timely treatment initiation for PCa men is unknown. METHODS Men with intermediate- and high-risk PCa diagnosed 2010-2016 and treated with curative surgery or radiotherapy were identified in the National Cancer Database. Multivariable logistic regression modeled the effect of race and insurance type on treatment delay >180 days after diagnosis. Cochran-Armitage test measured annual trends in delays, and joinpoint regression assessed if 2014, the year the ACA became fully operationalized, was significant for inflection in crude rates of major delays. RESULTS Of 422,506 eligible men, 18,720 (4.4%) experienced >180-day delay in treatment initiation. Compared to White patients, Black (OR 1.79, 95% CI 1.72-1.87, p < 0.001) and Hispanic (OR 1.37, 95% CI 1.28-1.48, p < 0.001) patients had higher odds of delay. Compared to uninsured, those with Medicaid had no difference in odds of delay (OR 0.94, 95% CI 0.84-1.06, p = 0.31), while those with private insurance (OR 0.57, 95% CI 0.52-0.63, p < 0.001) or Medicare (OR 0.64, 95% CI 0.58-0.70, p < 0.001) had lower odds of delay. Mean time to treatment significantly increased from 2010 to 2016 across all racial/ethnic groups (trend p < 0.001); 2014 was associated with a significant inflection for increase in rates of major delays. CONCLUSIONS Non-White and Medicaid-insured men with localized PCa are at risk of treatment delays in the United States. Treatment delays have been consistently rising, particularly after implementation of the ACA.
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Affiliation(s)
- James R. Janopaul‐Naylor
- Department of Radiation OncologyWinship Cancer Institute at Emory UniversityAtlantaGeorgiaUSA
- Department of Radiation OncologyMemorial Sloan Kettering CancerNew YorkNew YorkUSA
| | - Taylor J. Corriher
- Department of Radiation OncologyWinship Cancer Institute at Emory UniversityAtlantaGeorgiaUSA
| | - Jeffrey Switchenko
- Department of Biostatistics and BioinformaticsRollins School of Public HealthAtlantaGeorgiaUSA
| | - Sheela Hanasoge
- Department of Radiation OncologyWinship Cancer Institute at Emory UniversityAtlantaGeorgiaUSA
| | - Ashanda Esdaille
- Department of UrologyEmory University School of MedicineAtlantaGeorgiaUSA
| | - Brandon A. Mahal
- Department of Radiation OncologyUniversity of Miami Miller School of MedicineMiamiFloridaUSA
| | | | - Sagar A. Patel
- Department of Radiation OncologyWinship Cancer Institute at Emory UniversityAtlantaGeorgiaUSA
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Orlando N, Edirisinghe C, Gyacskov I, Vickress J, Sachdeva R, Gomez JA, D'Souza D, Velker V, Mendez LC, Bauman G, Fenster A, Hoover DA. Validation of a surface-based deformable MRI-3D ultrasound image registration algorithm toward clinical implementation for interstitial prostate brachytherapy. Brachytherapy 2023; 22:199-209. [PMID: 36641305 DOI: 10.1016/j.brachy.2022.11.011] [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: 06/21/2022] [Revised: 11/05/2022] [Accepted: 11/28/2022] [Indexed: 01/13/2023]
Abstract
PURPOSE The purpose of this study was to evaluate and clinically implement a deformable surface-based magnetic resonance imaging (MRI) to three-dimensional ultrasound (US) image registration algorithm for prostate brachytherapy (BT) with the aim to reduce operator dependence and facilitate dose escalation to an MRI-defined target. METHODS AND MATERIALS Our surface-based deformable image registration (DIR) algorithm first translates and scales to align the US- and MR-defined prostate surfaces, followed by deformation of the MR-defined prostate surface to match the US-defined prostate surface. The algorithm performance was assessed in a phantom using three deformation levels, followed by validation in three retrospective high-dose-rate BT clinical cases. For comparison, manual rigid registration and cognitive fusion by physician were also employed. Registration accuracy was assessed using the Dice similarity coefficient (DSC) and target registration error (TRE) for embedded spherical landmarks. The algorithm was then implemented intraoperatively in a prospective clinical case. RESULTS In the phantom, our DIR algorithm demonstrated a mean DSC and TRE of 0.74 ± 0.08 and 0.94 ± 0.49 mm, respectively, significantly improving the performance compared to manual rigid registration with 0.64 ± 0.16 and 1.88 ± 1.24 mm, respectively. Clinical results demonstrated reduced variability compared to the current standard of cognitive fusion by physicians. CONCLUSIONS We successfully validated a DIR algorithm allowing for translation of MR-defined target and organ-at-risk contours into the intraoperative environment. Prospective clinical implementation demonstrated the intraoperative feasibility of our algorithm, facilitating targeted biopsies and dose escalation to the MR-defined lesion. This method provides the potential to standardize the registration procedure between physicians, reducing operator dependence.
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Affiliation(s)
- Nathan Orlando
- Department of Medical Biophysics, Western University, London, Ontario, Canada; Robarts Research Institute, Western University, London, Ontario, Canada.
| | | | - Igor Gyacskov
- Robarts Research Institute, Western University, London, Ontario, Canada
| | - Jason Vickress
- Department of Oncology, Western University, London, Ontario, Canada; London Health Sciences Centre, London, Ontario, Canada
| | - Robin Sachdeva
- Lawson Health Research Institute, London, Ontario, Canada
| | - Jose A Gomez
- London Health Sciences Centre, London, Ontario, Canada; Department of Pathology and Laboratory Medicine, Western University, London, Ontario, Canada
| | - David D'Souza
- Department of Oncology, Western University, London, Ontario, Canada; London Health Sciences Centre, London, Ontario, Canada
| | - Vikram Velker
- Department of Oncology, Western University, London, Ontario, Canada; London Health Sciences Centre, London, Ontario, Canada
| | - Lucas C Mendez
- Department of Oncology, Western University, London, Ontario, Canada; London Health Sciences Centre, London, Ontario, Canada
| | - Glenn Bauman
- Department of Oncology, Western University, London, Ontario, Canada; London Health Sciences Centre, London, Ontario, Canada
| | - Aaron Fenster
- Department of Medical Biophysics, Western University, London, Ontario, Canada; Robarts Research Institute, Western University, London, Ontario, Canada; Department of Oncology, Western University, London, Ontario, Canada
| | - Douglas A Hoover
- Department of Medical Biophysics, Western University, London, Ontario, Canada; Department of Oncology, Western University, London, Ontario, Canada; London Health Sciences Centre, London, Ontario, Canada
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Bamneshin K, Rabi Mahdavi S, Bitarafan-Rajabi A, Geramifar P, Hejazi P, Jadidi M. Breathing-induced Errors in Quantification and Description of Dominant Intra-Prostatic Lesions (Dils) in PET Images: A Simulation Study by Means of The 4D NCAT Phantom. J Biomed Phys Eng 2022; 12:497-504. [PMID: 36313408 PMCID: PMC9589085 DOI: 10.31661/jbpe.v0i0.1912-1015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2019] [Accepted: 05/25/2020] [Indexed: 06/16/2023]
Abstract
BACKGROUND Respiratory movement and the motion range of the diaphragm can affect the quality and quantity of prostate images. OBJECTIVE This study aimed to investigate the magnitude of respiratory-induced errors to determine Dominant Intra- prostatic Lesions (DILs) in positron emission tomography (PET) images. MATERIAL AND METHODS In this simulation study, we employed the 4D NURBS-based cardiac-torso (4D-NCAT) phantom with a realistic breathing model to simulate the respiratory cycles of a patient to assess the displacement, volume, maximum standardized uptake value (SUVmax), mean standardized uptake value (SUVmean), signal to noise ratio (SNR), and the contrast of DILs in frames within the respiratory cycle. RESULTS Respiration in a diaphragm motion resulted in the maximum superior-inferior displacement of 3.9 and 6.1 mm, and the diaphragm motion amplitudes of 20 and 35 mm. In a no-motion image, the volume measurement of DILs had the smallest percentage of errors. Compared with the no-motion method, the percentages of errors in the average method in 20 and 35 mm- diaphragm motion were 25% and 105%, respectively. The motion effect was significantly reduced in terms of the values of SUVmax and SUVmean in comparison with the values of SUVmax and SUVmean in no- motion images. The contrast values in respiratory cycle frames were at a range of 3.3-19.2 mm and 6.5-46 for diaphragm movements' amplitudes of 20 and 35 mm. CONCLUSION The respiratory movement errors in quantification and delineation of DILs were highly dependent on the range of motion, while the average method was not suitable to precisely delineate DILs in PET/CT in the dose-painting technique.
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Affiliation(s)
- Khadijeh Bamneshin
- PhD, Department of Radiology Technology, Faculty of Allied Medical Sciences, Semnan University of Medical Sciences, Semnan, Iran
- PhD, Department of Medical Physics, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Seied Rabi Mahdavi
- PhD, Radiation Biology Research Center, Iran University of Medical Sciences, Tehran, Iran
| | - Ahmad Bitarafan-Rajabi
- PhD, Echocardiography Research Center, Rajaie Cardiovascular Medical and Research Center, Iran University of Medical Sciences, Tehran, Iran
| | - Parham Geramifar
- PhD, Department of Nuclear Medicine, Shariati Hospital Tehran University of Medical Sciences, Tehran, Iran
| | - Payman Hejazi
- PhD, Department of Medical Physics, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Majid Jadidi
- PhD, Department of Radiology Technology, Faculty of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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Nigogosyan Z, Ippolito JE, Collins SP, Wang EC. Prostate MRI in Stereotactic Body Radiation Treatment Planning and Delivery for Localized Prostate Cancer. Radiographics 2022; 42:1251-1264. [PMID: 35714039 DOI: 10.1148/rg.210114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Prostate MRI is increasingly being used to make diagnoses and guide management for patients receiving definitive radiation treatment for prostate cancer. Radiologists should be familiar with the potential uses of prostate MRI in radiation therapy planning and delivery. Radiation therapy is an established option for the definitive treatment of localized prostate cancer. Stereotactic body radiation therapy (SBRT) is an external-beam radiation therapy method used to deliver a high dose of radiation to an extracranial target in the body, often in five or fewer fractions. SBRT is increasingly being used for prostate cancer treatment and has been recognized by the National Comprehensive Cancer Network as an acceptable definitive treatment regimen for low-, intermediate-, and high-risk prostate cancer. MRI is commonly used to aid in prostate radiation therapy. The authors review the uses of prostate MRI in SBRT treatment planning and delivery. Specific topics discussed include the use of prostate MRI for identification of and dose reduction to the membranous and prostatic urethra, which can decrease the risk of acute and late toxicities. MRI is also useful for identification and appropriate dose coverage of the prostate apex and areas of extraprostatic extension or seminal vesicle invasion. In prospective studies, prostate MRI is being validated for identification of and dose intensification to dominant intraprostatic lesions, which potentially can improve oncologic outcomes. It also can be used to evaluate the placement of fiducial markers and hydrogel spacers for radiation therapy planning and delivery. ©RSNA, 2022.
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Affiliation(s)
- Zack Nigogosyan
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO (Z.N., J.E.I.); and Department of Radiation Medicine, MedStar Georgetown University Hospital, 3800 Reservoir Rd NW, Washington, DC 20007 (S.P.C., E.C.W.)
| | - Joseph E Ippolito
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO (Z.N., J.E.I.); and Department of Radiation Medicine, MedStar Georgetown University Hospital, 3800 Reservoir Rd NW, Washington, DC 20007 (S.P.C., E.C.W.)
| | - Sean P Collins
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO (Z.N., J.E.I.); and Department of Radiation Medicine, MedStar Georgetown University Hospital, 3800 Reservoir Rd NW, Washington, DC 20007 (S.P.C., E.C.W.)
| | - Edina C Wang
- From the Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, MO (Z.N., J.E.I.); and Department of Radiation Medicine, MedStar Georgetown University Hospital, 3800 Reservoir Rd NW, Washington, DC 20007 (S.P.C., E.C.W.)
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Feasibility of biology-guided radiotherapy using PSMA-PET to boost to dominant intraprostatic tumour. Clin Transl Radiat Oncol 2022; 35:84-89. [PMID: 35662883 PMCID: PMC9156937 DOI: 10.1016/j.ctro.2022.05.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Revised: 05/11/2022] [Accepted: 05/13/2022] [Indexed: 11/23/2022] Open
Abstract
Biology-guided radiation therapy (BGRT) uses PET imaging for online image guidance. PSMA PET uptake is abundant in the dominant intraprostatic lesion (DIL). BgRT boost to PSMA-avid subvolume in the prostate region may be feasible. Suitable targets for BgRT were identified in the ProPSMA clinical trial.
Background Methods Results Conclusions
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Wyatt JJ, McCallum HM, Maxwell RJ. Developing quality assurance tests for simultaneous Positron Emission Tomography – Magnetic Resonance imaging for radiotherapy planning. Phys Imaging Radiat Oncol 2022; 22:28-35. [PMID: 35493852 PMCID: PMC9048159 DOI: 10.1016/j.phro.2022.03.003] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Revised: 03/02/2022] [Accepted: 03/18/2022] [Indexed: 12/05/2022] Open
Abstract
Background and purpose Simultaneous Positron Emission Tomography – Magnetic Resonance (PET-MR) imaging can potentially improve radiotherapy by enabling more accurate tumour delineation and dose painting. The use of PET-MR imaging for radiotherapy planning requires a comprehensive Quality Assurance (QA) programme to be developed. This study aimed to develop the QA tests required and assess their repeatability and stability. Materials and methods QA tests were developed for: MR image quality, MR geometric accuracy, electromechanical accuracy, PET-MR alignment accuracy, Diffusion Weighted (DW)-MR Apparent Diffusion Coefficient (ADC) accuracy and PET Standard Uptake Value (SUV) accuracy. Each test used a dedicated phantom and was analysed automatically or semi-automatically, with in–house software. Repeatability was evaluated by three same-day measurements with independent phantom positions. Stability was assessed through 12 monthly measurements. Results The repeatability Standard Deviations (SDs) of distortion for the MR geometric accuracy test were ⩽0.7mm. The repeatability SDs in ADC difference from reference were ⩽3% for the DW-MR accuracy test. The PET SUV difference from reference repeatability SD was 0.3%. The stability SDs agreed within 0.6mm, 1 percentage point and 1.4 percentage points of the repeatability SDs for the geometric, ADC and SUV accuracy tests respectively. There were no monthly trends apparent. These results were representative of the other tests. Conclusions QA Tests for radiotherapy planning PET-MR have been developed. The tests appeared repeatable and stable over a 12-month period. The developed QA tests could form the basis of a QA programme that enables high-quality, robust PET-MR imaging for radiotherapy planning.
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11
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Cellini F, Tagliaferri L, Frascino V, Alitto AR, Fionda B, Boldrini L, Romano A, Casà C, Catucci F, Mattiucci GC, Valentini V. Radiation therapy for prostate cancer: What's the best in 2021. Urologia 2022; 89:5-15. [PMID: 34496707 DOI: 10.1177/03915603211042335] [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] [Indexed: 02/05/2023]
Abstract
Radiotherapy is highly involved in the management of prostate cancer. Its features and potential applications experienced a radical evolution over last decades, as they are associated to the continuous evolution of available technology and current oncological innovations. Some application of radiotherapy like brachytherapy have been recently enriched by innovative features and multidisciplinary dedications. In this report we aim to put some questions regarding the following issues regarding multiple aspects of modern application of radiation oncology: the current application of radiation oncology; the modern role of stereotactic body radiotherapy (SBRT) for both the management of primary lesions and for lymph-nodal recurrence; the management of the oligometastatic presentations; the role of brachytherapy; the aid played by the application of the organ at risk spacer (spacer OAR), fiducial markers, electromagnetic tracking systems and on-line Magnetic Resonance guided radiotherapy (MRgRT), and the role of the new opportunity represented by radiomic analysis.
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Affiliation(s)
- Francesco Cellini
- UOC di Radioterapia Oncologica, Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, Rome, Italy
- Istituto di Radiologia, Università Cattolica del Sacro Cuore, Roma, Italia
| | - Luca Tagliaferri
- UOC di Radioterapia Oncologica, Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, Rome, Italy
| | - Vincenzo Frascino
- UOC di Radioterapia Oncologica, Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, Rome, Italy
| | - Anna Rita Alitto
- UOC di Radioterapia Oncologica, Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, Rome, Italy
| | - Bruno Fionda
- UOC di Radioterapia Oncologica, Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, Rome, Italy
| | - Luca Boldrini
- UOC di Radioterapia Oncologica, Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, Rome, Italy
| | - Angela Romano
- UOC di Radioterapia Oncologica, Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, Rome, Italy
| | - Calogero Casà
- UOC di Radioterapia Oncologica, Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, Rome, Italy
| | | | - Gian Carlo Mattiucci
- Istituto di Radiologia, Università Cattolica del Sacro Cuore, Roma, Italia
- Radiation Oncology, Mater Olbia Hospital, Olbia, Italy
| | - Vincenzo Valentini
- UOC di Radioterapia Oncologica, Dipartimento di Diagnostica per Immagini, Radioterapia Oncologica ed Ematologia, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, Rome, Italy
- Istituto di Radiologia, Università Cattolica del Sacro Cuore, Roma, Italia
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12
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Zhou J, Yang X, Chang CW, Tian S, Wang T, Lin L, Wang Y, Janopaul-Naylor JR, Patel P, Demoor JD, Bohannon D, Stanforth A, Eaton B, McDonald MW, Liu T, Patel SA. Dosimetric Uncertainties in Dominant Intraprostatic Lesion Simultaneous Boost Using Intensity Modulated Proton Therapy. Adv Radiat Oncol 2021; 7:100826. [PMID: 34805623 PMCID: PMC8581277 DOI: 10.1016/j.adro.2021.100826] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Revised: 08/27/2021] [Accepted: 09/20/2021] [Indexed: 11/29/2022] Open
Abstract
Purpose While intensity modulated proton therapy can deliver simultaneous integrated boost (SIB) to the dominant intraprostatic lesion (DIL) with high precision, it is sensitive to anatomic changes. We investigated the dosimetric effects from these changes based on pretreatment cone-beam computed tomographic (CBCT) images and identified the most important factors using a multilayer perceptron neural network (MLPNN). Methods and Materials DILs were contoured based on coregistered multiparametric magnetic resonance images for 25 previously treated prostate cancer patients. SIB plans were created with (1) prostate clinical target volume − V70 Gy = 98%; (2) DIL − V98 Gy > 95%; and (3) all organs at risk (OARs)"?> within clinical constraints. SIB plans were applied to daily CBCT-based deformed planning computed tomography (CT)"?>. DIL − V98 Gy, bladder/rectum maximum dose (Dmax) and volume changes, femur shifts, and the distance from DIL to organs at riskOARs"?> in both planning computed tomogramsCT"?> and CBCT were calculated. Wilcoxon signed-ranks tests were used to compare the changes. MLPNNs were used to model the change in ΔDIL − V98 Gy > 10% and bladder/rectum Dmax > 80 Gy, and the relative importance factors for the model were provided. The performances of the models were evaluated with receiver operating characteristic curves. Results Comparing initial plan to the average from evaluation plans, respectively, DIL − V98 Gy was 89.3% ± 19.9% versus 86.2% ± 21.3% (P = .151); bladder Dmax 71.9 ± 0.6 Gy versus 74.5 ± 2.9 Gy (P < .001); and rectum Dmax 70.1 ± 2.4 Gy versus 74.9 ± 9.1Gy (P = .007). Bladder and rectal volumes were 99.6% ± 39.5% and 112.8% ± 27.2%, respectively, of their initial volume. The femur shift was 3.16 ± 2.52 mm. In the modeling of ΔDIL V98 Gy > 10%, DIL to rectum distance changes, DIL to bladder distance changes, and rectum volume changes ratio are the 3 most important factors. The areas under the receiver operating characteristic curves were 0.89, 1.00, and 0.99 for the modeling of ΔDIL − V98 Gy > 10%, and bladder and rectum Dmax > 80 Gy, respectively. Conclusions Dosimetric changes in DIL SIB with intensity modulated proton therapy can be modeled and classified based on anatomic changes on pretreatment images by an MLPNN.
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Affiliation(s)
- Jun Zhou
- Department of Radiation Oncology, Emory University, Atlanta, Georgia
| | - Xiaofeng Yang
- Department of Radiation Oncology, Emory University, Atlanta, Georgia
| | - Chih-Wei Chang
- Department of Radiation Oncology, Emory University, Atlanta, Georgia
| | - Sibo Tian
- Department of Radiation Oncology, Emory University, Atlanta, Georgia
| | - Tonghe Wang
- Department of Radiation Oncology, Emory University, Atlanta, Georgia
| | - Liyong Lin
- Department of Radiation Oncology, Emory University, Atlanta, Georgia
| | - Yinan Wang
- Department of Radiation Oncology, Emory University, Atlanta, Georgia
| | | | - Pretesh Patel
- Department of Radiation Oncology, Emory University, Atlanta, Georgia
| | - John D Demoor
- Department of Medical Physics, Georgia Institute of Technology, Atlanta, Georgia
| | - Duncan Bohannon
- Department of Medical Physics, Georgia Institute of Technology, Atlanta, Georgia
| | - Alex Stanforth
- Department of Radiation Oncology, Emory University, Atlanta, Georgia
| | - Bree Eaton
- Department of Radiation Oncology, Emory University, Atlanta, Georgia
| | - Mark W McDonald
- Department of Radiation Oncology, Emory University, Atlanta, Georgia
| | - Tian Liu
- Department of Radiation Oncology, Emory University, Atlanta, Georgia
| | - Sagar Anil Patel
- Department of Radiation Oncology, Emory University, Atlanta, Georgia
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13
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Giacometti V, King RB, McCreery C, Buchanan F, Jeevanandam P, Jain S, Hounsell AR, McGarry CK. 3D-printed patient-specific pelvis phantom for dosimetry measurements for prostate stereotactic radiotherapy with dominant intraprostatic lesion boost. Phys Med 2021; 92:8-14. [PMID: 34823110 DOI: 10.1016/j.ejmp.2021.10.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Revised: 09/29/2021] [Accepted: 10/30/2021] [Indexed: 10/19/2022] Open
Abstract
AIM Developing and assessing the feasibility of using a three-dimensional (3D) printed patient-specific anthropomorphic pelvis phantom for dose calculation and verification for stereotactic ablative radiation therapy (SABR) with dose escalation to the dominant intraprostatic lesions. MATERIAL AND METHODS A 3D-printed pelvis phantom, including bone-mimicking material, was fabricated based on the computed tomography (CT) images of a prostate cancer patient. To compare the extent to which patient and phantom body and bones overlapped, the similarity Dice coefficient was calculated. Modular cylindrical inserts were created to encapsulate radiochromic films and ionization chamber for absolute dosimetry measurements at the location of prostate and at the boost region. Gamma analysis evaluation with 2%/2mm criteria was performed to compare treatment planning system calculations and measured dose when delivering a 10 flattening filter free (FFF) SABR plan and a 10FFF boost SABR plan. RESULTS Dice coefficients of 0.98 and 0.91 were measured for body and bones, respectively, demonstrating agreement between patient and phantom outlines. For the boost plans the gamma analysis yielded 97.0% of pixels passing 2%/2mm criteria and these results were supported by the chamber average dose difference of 0.47 ± 0.03%. These results were further improved when overriding the bone relative electron density: 97.3% for the 2%/2mm gamma analysis, and 0.05 ± 0.03% for the ionization chamber average dose difference. CONCLUSIONS The modular patient-specific 3D-printed pelvis phantom has proven to be a highly attractive and versatile tool to validate prostate SABR boost plans using multiple detectors.
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Affiliation(s)
- Valentina Giacometti
- Patrick G. Johnston Centre for Cancer Research, Queen's University, Belfast, United Kingdom.
| | - Raymond B King
- Northern Ireland Cancer Centre, Belfast Health and Social Care Trust, Belfast, United Kingdom
| | - Craig McCreery
- School of Mechanical & Aerospace Engineering, Queen's University, Belfast, United Kingdom
| | - Fraser Buchanan
- School of Mechanical & Aerospace Engineering, Queen's University, Belfast, United Kingdom
| | - Prakash Jeevanandam
- Northern Ireland Cancer Centre, Belfast Health and Social Care Trust, Belfast, United Kingdom
| | - Suneil Jain
- Patrick G. Johnston Centre for Cancer Research, Queen's University, Belfast, United Kingdom; Northern Ireland Cancer Centre, Belfast Health and Social Care Trust, Belfast, United Kingdom
| | - Alan R Hounsell
- Patrick G. Johnston Centre for Cancer Research, Queen's University, Belfast, United Kingdom; Northern Ireland Cancer Centre, Belfast Health and Social Care Trust, Belfast, United Kingdom
| | - Conor K McGarry
- Patrick G. Johnston Centre for Cancer Research, Queen's University, Belfast, United Kingdom; Northern Ireland Cancer Centre, Belfast Health and Social Care Trust, Belfast, United Kingdom
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14
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Bodar YJL, Zwezerijnen BGJC, van der Voorn PJ, Jansen BHE, Smit RS, Kol SQ, Meijer D, de Bie K, Yaqub M, Windhorst BAD, Hendrikse HNH, Vis AN, Oprea-Lager DE. Prospective analysis of clinically significant prostate cancer detection with [ 18F]DCFPyL PET/MRI compared to multiparametric MRI: a comparison with the histopathology in the radical prostatectomy specimen, the ProStaPET study. Eur J Nucl Med Mol Imaging 2021; 49:1731-1742. [PMID: 34725727 PMCID: PMC8940822 DOI: 10.1007/s00259-021-05604-9] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Accepted: 10/22/2021] [Indexed: 12/27/2022]
Abstract
PURPOSE Multiparametric magnetic resonance imaging (mpMRI) is a well-established imaging method for localizing primary prostate cancer (PCa) and for guiding targeted prostate biopsies. [18F]DCFPyL positron emission tomography combined with MRI (PSMA-PET/MRI) might be of additional value to localize primary PCa. The aim of this study was to assess the diagnostic performance of [18F]DCFPyL-PET/MRI vs. mpMRI in tumour localization based on histopathology after robot-assisted radical-prostatectomy (RARP), also assessing biopsy advice for potential image-guided prostate biopsies. METHODS Thirty prospectively included patients with intermediate to high-risk PCa underwent [18F]DCFPyL-PET/MRI and mpMRI prior to RARP. Two nuclear medicine physicians and two radiologists assessed tumour localization on [18F]DCFPyL-PET/MRI and on mpMRI respectively, and gave a prostate biopsy advice (2 segments) using a 14-segment model of the prostate. The uro-pathologist evaluated the RARP specimen for clinically significant PCa (csPCa) using the same model. csPCa was defined as any PCa with Grade Group (GG) ≥ 2. The biopsy advice based on imaging was correlated with the final histology in the RARP specimen for a total-agreement analysis. An additional near-agreement correlation was performed to approximate clinical reality. RESULTS Overall, 142 of 420 (33.8%) segments contained csPCa after pathologic examination. The segments recommended for targeted biopsy contained the highest GG PCa segment in 27/30 patients (90.0%) both for [18F]DCFPyL-PET/MRI and mpMRI. Areas under the receiver operating characteristics curves (AUC), sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) for the total-agreement detection of csPCa per segment using [18F]DCFPyL-PET/MRI were 0.70, 50.0%, 89.9%, 71.7%, and 77.9%, respectively. These results were 0.75, 54.2%, 94.2%, 82.8%, and 80.1%, respectively, for mpMRI only. CONCLUSION Both [18F]DCFPyL-PET/MRI and mpMRI were only partly able to detect csPCa on a per-segment basis. An accurate detection (90.0%) of the highest GG lesion at patient-level was observed when comparing both [18F]DCFPyL-PET/MRI and mpMRI biopsy advice with the histopathology in the RARP specimen. So, despite the finding that [18F]DCFPyL-PET/MRI adequately detects csPCa, it does not outperform mpMRI.
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Affiliation(s)
- Yves J L Bodar
- Department of Urology, Amsterdam University Medical Centres (VU University Medical Center), Amsterdam, the Netherlands. .,Department of Radiology & Nuclear Medicine, Amsterdam University Medical Centres (VU University Medical Center), Amsterdam, the Netherlands. .,Prostate Cancer Network, Amsterdam, the Netherlands.
| | - Ben G J C Zwezerijnen
- Department of Radiology & Nuclear Medicine, Amsterdam University Medical Centres (VU University Medical Center), Amsterdam, the Netherlands
| | - Patrick J van der Voorn
- Department of Pathology, Amsterdam University Medical Centres (VU University Medical Center), Amsterdam, the Netherlands
| | - Bernard H E Jansen
- Department of Urology, Amsterdam University Medical Centres (VU University Medical Center), Amsterdam, the Netherlands.,Department of Radiology & Nuclear Medicine, Amsterdam University Medical Centres (VU University Medical Center), Amsterdam, the Netherlands.,Prostate Cancer Network, Amsterdam, the Netherlands
| | - Ruth S Smit
- Department of Radiology & Nuclear Medicine, Amsterdam University Medical Centres (VU University Medical Center), Amsterdam, the Netherlands
| | - Sabrine Q Kol
- Department of Radiology & Nuclear Medicine, Amsterdam University Medical Centres (VU University Medical Center), Amsterdam, the Netherlands
| | - Dennie Meijer
- Department of Urology, Amsterdam University Medical Centres (VU University Medical Center), Amsterdam, the Netherlands.,Department of Radiology & Nuclear Medicine, Amsterdam University Medical Centres (VU University Medical Center), Amsterdam, the Netherlands.,Prostate Cancer Network, Amsterdam, the Netherlands
| | - Katelijne de Bie
- Department of Urology, Amsterdam University Medical Centres (VU University Medical Center), Amsterdam, the Netherlands
| | - Maqsood Yaqub
- Department of Radiology & Nuclear Medicine, Amsterdam University Medical Centres (VU University Medical Center), Amsterdam, the Netherlands
| | - Bert A D Windhorst
- Department of Radiology & Nuclear Medicine, Amsterdam University Medical Centres (VU University Medical Center), Amsterdam, the Netherlands.,Department of Clinical Pharmacology and Pharmacy, Amsterdam University Medical Centres (VU University Medical Center), Amsterdam, the Netherlands
| | - Harry N H Hendrikse
- Department of Radiology & Nuclear Medicine, Amsterdam University Medical Centres (VU University Medical Center), Amsterdam, the Netherlands.,Department of Clinical Pharmacology and Pharmacy, Amsterdam University Medical Centres (VU University Medical Center), Amsterdam, the Netherlands
| | - André N Vis
- Department of Urology, Amsterdam University Medical Centres (VU University Medical Center), Amsterdam, the Netherlands.,Prostate Cancer Network, Amsterdam, the Netherlands
| | - Daniela E Oprea-Lager
- Department of Radiology & Nuclear Medicine, Amsterdam University Medical Centres (VU University Medical Center), Amsterdam, the Netherlands
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15
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Yang DM, Alfano R, Bauman G, Thiessen JD, Chin J, Pautler S, Moussa M, Gomez JA, Rachinsky I, Gaed M, Chung KJ, Ward A, Lee TY. Short-duration dynamic [ 18F]DCFPyL PET and CT perfusion imaging to localize dominant intraprostatic lesions in prostate cancer: validation against digital histopathology and comparison to [ 18F]DCFPyL PET/MR at 120 minutes. EJNMMI Res 2021; 11:107. [PMID: 34652551 PMCID: PMC8519985 DOI: 10.1186/s13550-021-00844-0] [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: 06/22/2021] [Accepted: 09/27/2021] [Indexed: 11/10/2022] Open
Abstract
Purpose Localized prostate cancer (PCa) in patients is characterized by a dominant focus in the gland (dominant intraprostatic lesion, DIL). Accurate DIL identification may enable more accurate diagnosis and therapy through more precise targeting of biopsy, radiotherapy and focal ablative therapies. The goal of this study is to validate the performance of [18F]DCFPyL PET and CT perfusion (CTP) for detecting and localizing DIL against digital histopathological images. Methods Multi-modality image sets: in vivo T2-weighted (T2w)-MRI, 22-min dynamic [18F]DCFPyL PET/CT, CTP, and 2-h post-injection PET/MR were acquired in patients prior to radical prostatectomy. The explanted gland with implanted fiducial markers was imaged with T2w-MRI. All images were co-registered to the pathologist-annotated digital images of whole-mount mid-gland histology sections using fiducial markers and anatomical landmarks. Regions of interest encompassing DIL and non-DIL tissue were drawn on the digital histopathological images and superimposed on PET and CTP parametric maps. Logistic regression with backward elimination of parameters was used to select the most sensitive parameter set to distinguish DIL from non-DIL voxels. Leave-one-patient-out cross-validation was performed to determine diagnostic performance. Results [18F]DCFPyL PET and CTP parametric maps of 15 patients were analyzed. SUVLate and a model combining Ki and k4 of [18F]DCFPyL achieved the most accurate performance distinguishing DIL from non-DIL voxels. Both detection models achieved an AUC of 0.90 and an error rate of < 10%. Compared to digital histopathology, the detected DILs had a mean dice similarity coefficient of 0.8 for the Ki and k4 model and 0.7 for SUVLate. Conclusions We have validated using co-registered digital histopathological images that parameters from kinetic analysis of 22-min dynamic [18F]DCFPyL PET can accurately localize DILs in PCa for targeting of biopsy, radiotherapy, and focal ablative therapies. Short-duration dynamic [18F]DCFPyL PET was not inferior to SUVLate in this diagnostic task. Clinical trial registration number: NCT04009174 (ClinicalTrials.gov).
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Affiliation(s)
- Dae-Myoung Yang
- Department of Medical Biophysics, The University of Western Ontario, London, ON, Canada.,Robarts Research Institute, The University of Western Ontario, London, ON, Canada.,Imaging Program, Lawson Health Research Institute, 750 Base Line Road E, London, ON, N6C 2R5, Canada.,Department of Radiation Oncology, Fox Chase Cancer Center, 333 Cottman Ave, Philadelphia, PA, 19111, USA
| | - Ryan Alfano
- Department of Medical Biophysics, The University of Western Ontario, London, ON, Canada.,London Health Sciences Centre, London, ON, Canada.,Baines Imaging Research Laboratory, London, ON, Canada
| | - Glenn Bauman
- London Health Sciences Centre, London, ON, Canada.,Department of Oncology, The University of Western Ontario, London, ON, Canada
| | - Jonathan D Thiessen
- Department of Medical Biophysics, The University of Western Ontario, London, ON, Canada.,Imaging Program, Lawson Health Research Institute, 750 Base Line Road E, London, ON, N6C 2R5, Canada.,Department of Medical Imaging, The University of Western Ontario, London, ON, Canada
| | - Joseph Chin
- London Health Sciences Centre, London, ON, Canada.,Department of Oncology, The University of Western Ontario, London, ON, Canada.,Department of Surgery, The University of Western Ontario, London, ON, Canada
| | - Stephen Pautler
- Department of Oncology, The University of Western Ontario, London, ON, Canada.,Department of Surgery, The University of Western Ontario, London, ON, Canada.,St. Joseph' Health Care, London, ON, Canada
| | - Madeleine Moussa
- London Health Sciences Centre, London, ON, Canada.,Department of Pathology and Laboratory Medicine, The University of Western Ontario, London, ON, Canada
| | - Jose A Gomez
- London Health Sciences Centre, London, ON, Canada.,Department of Pathology and Laboratory Medicine, The University of Western Ontario, London, ON, Canada
| | - Irina Rachinsky
- London Health Sciences Centre, London, ON, Canada.,Department of Medical Imaging, The University of Western Ontario, London, ON, Canada
| | - Mena Gaed
- Department of Pathology and Laboratory Medicine, The University of Western Ontario, London, ON, Canada
| | - Kevin J Chung
- Department of Medical Biophysics, The University of Western Ontario, London, ON, Canada.,Robarts Research Institute, The University of Western Ontario, London, ON, Canada.,Imaging Program, Lawson Health Research Institute, 750 Base Line Road E, London, ON, N6C 2R5, Canada
| | - Aaron Ward
- Department of Medical Biophysics, The University of Western Ontario, London, ON, Canada.,London Health Sciences Centre, London, ON, Canada.,Baines Imaging Research Laboratory, London, ON, Canada.,Department of Oncology, The University of Western Ontario, London, ON, Canada
| | - Ting-Yim Lee
- Department of Medical Biophysics, The University of Western Ontario, London, ON, Canada. .,Robarts Research Institute, The University of Western Ontario, London, ON, Canada. .,Imaging Program, Lawson Health Research Institute, 750 Base Line Road E, London, ON, N6C 2R5, Canada. .,Department of Oncology, The University of Western Ontario, London, ON, Canada. .,Department of Medical Imaging, The University of Western Ontario, London, ON, Canada.
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16
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Rezaeijo SM, Hashemi B, Mofid B, Bakhshandeh M, Mahdavi A, Hashemi MS. The feasibility of a dose painting procedure to treat prostate cancer based on mpMR images and hierarchical clustering. Radiat Oncol 2021; 16:182. [PMID: 34544468 PMCID: PMC8454023 DOI: 10.1186/s13014-021-01906-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Accepted: 09/06/2021] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND We aimed to assess the feasibility of a dose painting (DP) procedure, known as simultaneous integrated boost intensity modulated radiation Therapy (SIB-IMRT), for treating prostate cancer with dominant intraprostatic lesions (DILs) based on multi-parametric magnetic resonance (mpMR) images and hierarchical clustering with a machine learning technique. METHODS The mpMR images of 120 patients were used to create hierarchical clustering and draw a dendrogram. Three clusters were selected for performing agglomerative clustering. Then, the DIL acquired from the mpMR images of 20 patients were categorized into three groups to have them treated with a DP procedure being composed of three planning target volumes (PTVs) determined as PTV1, PTV2, and PTV3 in treatment plans. The DP procedure was carried out on the patients wherein a total dose of 80, 85 and 91 Gy were delivered to the PTV1, PTV2, and PTV3, respectively. Dosimetric and radiobiologic parameters [Tumor Control Probability (TCP) and Normal Tissue Complication Probability (NTCP)] of the DP procedure were compared with those of the conventional IMRT and Three-Dimensional Conformal Radiation Therapy (3DCRT) procedures carried out on another group of 20 patients. A post-treatment follow-up was also made four months after the radiotherapy procedures. RESULTS All the dosimetric variables and the NTCPs of the organs at risks (OARs) revealed no significant difference between the DP and IMRT procedures. Regarding the TCP of three investigated PTVs, significant differences were observed between the DP versus IMRT and also DP versus 3DCRT procedures. At post-treatment follow-up, the DIL volumes and apparent diffusion coefficient (ADC) values in the DP group differed significantly (p-value < 0.001) from those of the IMRT. However, the whole prostate ADC and prostate-specific antigen (PSA) indicated no significant difference (p-value > 0.05) between the DP versus IMRT. CONCLUSIONS The results of this comprehensive clinical trial illustrated the feasibility of our DP procedure for treating prostate cancer based on mpMR images validated with acquired patients' dosimetric and radiobiologic assessment and their follow-ups. This study confirms significant potential of the proposed DP procedure as a promising treatment planning to achieve effective dose escalation and treatment for prostate cancer. TRIAL REGISTRATION IRCT20181006041257N1; Iranian Registry of Clinical Trials, Registered: 23 October 2019, https://en.irct.ir/trial/34305 .
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Affiliation(s)
- Seyed Masoud Rezaeijo
- Department of Medical Physics, Faculty of Medical Sciences, Tarbiat Modares University, Al-Ahmad and Chamran Cross, 1411713116 Tehran, Iran
| | - Bijan Hashemi
- Department of Medical Physics, Faculty of Medical Sciences, Tarbiat Modares University, Al-Ahmad and Chamran Cross, 1411713116 Tehran, Iran
| | - Bahram Mofid
- Department of Radiation Oncology, Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mohsen Bakhshandeh
- Department of Radiology Technology, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Arash Mahdavi
- Department of Radiology, Modares Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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17
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Li M, Zhang Q, Yang K. Role of MRI-Based Functional Imaging in Improving the Therapeutic Index of Radiotherapy in Cancer Treatment. Front Oncol 2021; 11:645177. [PMID: 34513659 PMCID: PMC8429950 DOI: 10.3389/fonc.2021.645177] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Accepted: 07/30/2021] [Indexed: 02/05/2023] Open
Abstract
Advances in radiation technology, such as intensity-modulated radiation therapy (IMRT), have largely enabled a biological dose escalation of the target volume (TV) and reduce the dose to adjacent tissues or organs at risk (OARs). However, the risk of radiation-induced injury increases as more radiation dose utilized during radiation therapy (RT), which predominantly limits further increases in TV dose distribution and reduces the local control rate. Thus, the accurate target delineation is crucial. Recently, technological improvements for precise target delineation have obtained more attention in the field of RT. The addition of functional imaging to RT can provide a more accurate anatomy of the tumor and normal tissues (such as location and size), along with biological information that aids to optimize the therapeutic index (TI) of RT. In this review, we discuss the application of some common MRI-based functional imaging techniques in clinical practice. In addition, we summarize the main challenges and prospects of these imaging technologies, expecting more inspiring developments and more productive research paths in the near future.
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Affiliation(s)
- Mei Li
- Department of Gynecology and Obstetrics, Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China.,West China School of Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Qin Zhang
- West China School of Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Kaixuan Yang
- Department of Gynecology and Obstetrics, Key Laboratory of Birth Defects and Related Diseases of Women and Children, Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China
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18
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Highly hypofractionated intensity-modulated radiation therapy for nonmetastatic prostate cancer with a simultaneous integrated boost to intraprostatic lesions: a planning study. Jpn J Radiol 2021; 40:210-218. [PMID: 34350542 DOI: 10.1007/s11604-021-01186-6] [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: 03/18/2021] [Accepted: 07/26/2021] [Indexed: 12/09/2022]
Abstract
PURPOSE The purpose of this planning study was to develop an acceptable technique for highly hypofractionated intensity-modulated radiation therapy using simultaneous integrated boost technique (SIB-hHF-RT) for nonmetastatic National Comprehensive Cancer Network high-risk prostate cancer. MATERIALS AND METHODS We created SIB-hHF-RT plans for 14 nonmetastatic prostate cancer patients with MRI-detectable intraprostatic lesions (IPLs) and without intestines locating close to the seminal vesicle and prostate. We prescribed 57 Gy for IPLs and 54 Gy for the remainder of planning target volume (PTV) in 15 fractions. The IPLs were contoured based on magnetic resonance imaging, and PTV was generated by adding 6-8-mm margins to the clinical target volume. For the dose-volume constraints of organs at risk (OARs), the same constraints as 54 Gy plans were used so as not to increase the toxicity. RESULTS All created plans fulfilled the dose-volume constraints of all targets and OARs. The median estimated beam-on time was 108.5 s. For patient-specific quality assurance, the global gamma passing rates (3%/2 mm) with 10% dose threshold criteria were greater than 93% in all cases and greater than 95% in 11 cases. CONCLUSION SIB-hHF-RT plans were developed that fulfill the acceptable dose-volume constraints and pass patient-specific quality assurance. We believe these plans can be applied to selected patients with nonmetastatic prostate cancer.
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19
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Tocco BR, Kishan AU, Ma TM, Kerkmeijer LGW, Tree AC. MR-Guided Radiotherapy for Prostate Cancer. Front Oncol 2020; 10:616291. [PMID: 33363041 PMCID: PMC7757637 DOI: 10.3389/fonc.2020.616291] [Citation(s) in RCA: 49] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2020] [Accepted: 11/09/2020] [Indexed: 01/08/2023] Open
Abstract
External beam radiotherapy remains the primary treatment modality for localized prostate cancer. The radiobiology of prostate carcinoma lends itself to hypofractionation, with recent studies showing good outcomes with shorter treatment schedules. However, the ability to accurately deliver hypofractionated treatment is limited by current image-guided techniques. Magnetic resonance imaging is the main diagnostic tool for localized prostate cancer and its use in the therapeutic setting offers anatomical information to improve organ delineation. MR-guided radiotherapy, with daily re-planning, has shown early promise in the accurate delivery of radiotherapy. In this article, we discuss the shortcomings of current image-guidance strategies and the potential benefits and limitations of MR-guided treatment for prostate cancer. We also recount present experiences of MR-linac workflow and the opportunities afforded by this technology.
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Affiliation(s)
- Boris R. Tocco
- Department of Radiotherapy, The Royal Marsden NHS Foundation Trust, London, United Kingdom
| | - Amar U. Kishan
- University of California, Los Angeles, Los Angeles, CA, United States
| | - Ting Martin Ma
- University of California, Los Angeles, Los Angeles, CA, United States
| | | | - Alison C. Tree
- Department of Radiotherapy, The Royal Marsden NHS Foundation Trust, London, United Kingdom
- Department of Radiotherapy and Imaging, Institute of Cancer Research, London, United Kingdom
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20
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Fu Y, Wang T, Lei Y, Patel P, Jani AB, Curran WJ, Liu T, Yang X. Deformable MR-CBCT prostate registration using biomechanically constrained deep learning networks. Med Phys 2020; 48:253-263. [PMID: 33164219 DOI: 10.1002/mp.14584] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2020] [Revised: 10/23/2020] [Accepted: 11/02/2020] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND AND PURPOSE Radiotherapeutic dose escalation to dominant intraprostatic lesions (DIL) in prostate cancer could potentially improve tumor control. The purpose of this study was to develop a method to accurately register multiparametric magnetic resonance imaging (MRI) with CBCT images for improved DIL delineation, treatment planning, and dose monitoring in prostate radiotherapy. METHODS AND MATERIALS We proposed a novel registration framework which considers biomechanical constraint when deforming the MR to CBCT. The registration framework consists of two segmentation convolutional neural networks (CNN) for MR and CBCT prostate segmentation, and a three-dimensional (3D) point cloud (PC) matching network. Image intensity-based rigid registration was first performed to initialize the alignment between MR and CBCT prostate. The aligned prostates were then meshed into tetrahedron elements to generate volumetric PC representation of the prostate shapes. The 3D PC matching network was developed to predict a PC motion vector field which can deform the MRI prostate PC to match the CBCT prostate PC. To regularize the network's motion prediction with biomechanical constraints, finite element (FE) modeling-generated motion fields were used to train the network. MRI and CBCT images of 50 patients with intraprostatic fiducial markers were used in this study. Registration results were evaluated using three metrics including dice similarity coefficient (DSC), mean surface distance (MSD), and target registration error (TRE). In addition to spatial registration accuracy, Jacobian determinant and strain tensors were calculated to assess the physical fidelity of the deformation field. RESULTS The mean and standard deviation of our method were 0.93 ± 0.01, 1.66 ± 0.10 mm, and 2.68 ± 1.91 mm for DSC, MSD, and TRE, respectively. The mean TRE of the proposed method was reduced by 29.1%, 14.3%, and 11.6% as compared to image intensity-based rigid registration, coherent point drifting (CPD) nonrigid surface registration, and modality-independent neighborhood descriptor (MIND) registration, respectively. CONCLUSION We developed a new framework to accurately register the prostate on MRI to CBCT images for external beam radiotherapy. The proposed method could be used to aid DIL delineation on CBCT, treatment planning, dose escalation to DIL, and dose monitoring.
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Affiliation(s)
- Yabo Fu
- Department of Radiation Oncology, Emory University, Atlanta, GA, USA
| | - Tonghe Wang
- Department of Radiation Oncology, Emory University, Atlanta, GA, USA.,Winship Cancer Institute, Emory University, Atlanta, GA, USA
| | - Yang Lei
- Department of Radiation Oncology, Emory University, Atlanta, GA, USA
| | - Pretesh Patel
- Department of Radiation Oncology, Emory University, Atlanta, GA, USA.,Winship Cancer Institute, Emory University, Atlanta, GA, USA
| | - Ashesh B Jani
- Department of Radiation Oncology, Emory University, Atlanta, GA, USA.,Winship Cancer Institute, Emory University, Atlanta, GA, USA
| | - Walter J Curran
- Department of Radiation Oncology, Emory University, Atlanta, GA, USA.,Winship Cancer Institute, Emory University, Atlanta, GA, USA
| | - Tian Liu
- Department of Radiation Oncology, Emory University, Atlanta, GA, USA.,Winship Cancer Institute, Emory University, Atlanta, GA, USA
| | - Xiaofeng Yang
- Department of Radiation Oncology, Emory University, Atlanta, GA, USA.,Winship Cancer Institute, Emory University, Atlanta, GA, USA
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21
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Chen Y, Xing L, Yu L, Bagshaw HP, Buyyounouski MK, Han B. Automatic intraprostatic lesion segmentation in multiparametric magnetic resonance images with proposed multiple branch UNet. Med Phys 2020; 47:6421-6429. [PMID: 33012016 DOI: 10.1002/mp.14517] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2020] [Revised: 09/24/2020] [Accepted: 09/25/2020] [Indexed: 12/13/2022] Open
Abstract
PURPOSE Contouring intraprostatic lesions is a prerequisite for dose-escalating these lesions in radiotherapy to improve the local cancer control. In this study, a deep learning-based approach was developed for automatic intraprostatic lesion segmentation in multiparametric magnetic resonance imaging (mpMRI) images contributing to clinical practice. METHODS Multiparametric magnetic resonance imaging images from 136 patient cases were collected from our institution, and all these cases contained suspicious lesions with Prostate Imaging Reporting and Data System (PI-RADS) score ≥ 4. The contours of the lesion and prostate were manually created on axial T2-weighted (T2W), apparent diffusion coefficient (ADC) and high b-value diffusion-weighted imaging (DWI) images to provide the ground truth data. Then a multiple branch UNet (MB-UNet) was proposed for the segmentation of an indistinct target in multi-modality MRI images. An encoder module was designed with three branches for the three MRI modalities separately, to fully extract the high-level features provided by different MRI modalities; an input module was added by using three sub-branches for three consecutive image slices, to consider the contour consistency among different image slices; deep supervision strategy was also integrated into the network to speed up the convergency of the network and improve the performance. The probability maps of the background, normal prostate and lesion were output by the network to generate the segmentation of the lesion, and the performance was evaluated using the dice similarity coefficient (DSC) as the main metric. RESULTS A total of 162 lesions were contoured on 652 image slices, with 119 lesions in the peripheral zone, 38 in the transition zone, four in the central zone and one in the anterior fibromuscular stroma. All prostates were also contoured on 1,264 image slices. As for the segmentation of lesions in the testing set, MB-UNet achieved a per case DSC of 0.6333, specificity of 0.9993, sensitivity of 0.7056; and global DSC of 0.7205, specificity of 0.9993, sensitivity of 0.7409. All the three deep learning strategies adopted in this study contributed to the performance promotion of the MB-UNet. Missing the DWI modality would degrade the segmentation performance more markedly compared with the other two modalities. CONCLUSIONS A deep learning-based approach with proposed MB-UNet was developed to automatically segment suspicious lesions in mpMRI images. This study makes it feasible to adopt boosting intraprostatic lesions in clinical practice to achieve better outcomes.
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Affiliation(s)
- Yizheng Chen
- Department of Radiation Oncology, Stanford University, Stanford, 94305, USA
| | - Lei Xing
- Department of Radiation Oncology, Stanford University, Stanford, 94305, USA
| | - Lequan Yu
- Department of Radiation Oncology, Stanford University, Stanford, 94305, USA
| | - Hilary P Bagshaw
- Department of Radiation Oncology, Stanford University, Stanford, 94305, USA
| | | | - Bin Han
- Department of Radiation Oncology, Stanford University, Stanford, 94305, USA
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22
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Delgadillo R, Ford JC, Abramowitz MC, Dal Pra A, Pollack A, Stoyanova R. The role of radiomics in prostate cancer radiotherapy. Strahlenther Onkol 2020; 196:900-912. [PMID: 32821953 PMCID: PMC7545508 DOI: 10.1007/s00066-020-01679-9] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2020] [Accepted: 08/07/2020] [Indexed: 12/24/2022]
Abstract
"Radiomics," as it refers to the extraction and analysis of a large number of advanced quantitative radiological features from medical images using high-throughput methods, is perfectly suited as an engine for effectively sifting through the multiple series of prostate images from before, during, and after radiotherapy (RT). Multiparametric (mp)MRI, planning CT, and cone beam CT (CBCT) routinely acquired throughout RT and the radiomics pipeline are developed for extraction of thousands of variables. Radiomics data are in a format that is appropriate for building descriptive and predictive models relating image features to diagnostic, prognostic, or predictive information. Prediction of Gleason score, the histopathologic cancer grade, has been the mainstay of the radiomic efforts in prostate cancer. While Gleason score (GS) is still the best predictor of treatment outcome, there are other novel applications of quantitative imaging that are tailored to RT. In this review, we summarize the radiomics efforts and discuss several promising concepts such as delta-radiomics and radiogenomics for utilizing image features for assessment of the aggressiveness of prostate cancer and its outcome. We also discuss opportunities for quantitative imaging with the advance of instrumentation in MRI-guided therapies.
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Affiliation(s)
- Rodrigo Delgadillo
- Department of Radiation Oncology, University of Miami Miller School of Medicine, 1121 NW 14th St, 33136, Miami, FL, USA
| | - John C Ford
- Department of Radiation Oncology, University of Miami Miller School of Medicine, 1121 NW 14th St, 33136, Miami, FL, USA
| | - Matthew C Abramowitz
- Department of Radiation Oncology, University of Miami Miller School of Medicine, 1121 NW 14th St, 33136, Miami, FL, USA
| | - Alan Dal Pra
- Department of Radiation Oncology, University of Miami Miller School of Medicine, 1121 NW 14th St, 33136, Miami, FL, USA
| | - Alan Pollack
- Department of Radiation Oncology, University of Miami Miller School of Medicine, 1121 NW 14th St, 33136, Miami, FL, USA
| | - Radka Stoyanova
- Department of Radiation Oncology, University of Miami Miller School of Medicine, 1121 NW 14th St, 33136, Miami, FL, USA.
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23
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Kim YJ, Yoon KJ, Kim YS. Simultaneous integrated boost with stereotactic radiotherapy for dominant intraprostatic lesion of localized prostate cancer: a dosimetric planning study. Sci Rep 2020; 10:14713. [PMID: 32895442 PMCID: PMC7477222 DOI: 10.1038/s41598-020-71715-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2020] [Accepted: 08/05/2020] [Indexed: 11/18/2022] Open
Abstract
Dominant intraprostatic lesion (DIL) has been known as the most common local recurrence site of prostate cancer. We evaluated the feasibility of simultaneous integrated boost (SIB) to DIL with CyberKnife stereotactic body radiotherapy (CK-SBRT). We selected 15 patients with prostate cancer and visible DIL and compared 3 plans for each patient: 1) No boost plan of 35 Gy to prostate, 2) DIL_40 plan of SIB 40 Gy to DIL and 35 Gy to prostate, and 3) DIL_45 plan with 45 Gy to DIL and 35 Gy to the prostate in 5 fractions. All targets satisfied with the prescription coverage per protocol. However, some patients failed to meet the Dmax of the rectum in DIL_40 plans (n = 4), and DIL_45 plans (n = 6). Violations of bladder constraints occurred in four DIL_45 plans. Consequently, the DIL boost with SBRT was possible in 73% of patients with DIL_40 plans, and 60% of patients with DIL_45 plans without any violation of normal organ constraints. All patients who experienced constraint violations had DILs in posterior segments. DIL boost using CK-SBRT could be an option for localized prostate cancer patients. For patients who had DIL in posterior segments, a moderate dose escalation of 40 Gy seemed appropriate.
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Affiliation(s)
- Yeon Joo Kim
- Department of Radiation Oncology, Asan Medical Center, College of Medicine, University of Ulsan, 88, Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea
| | - Kyoung Jun Yoon
- Department of Radiation Oncology, Asan Medical Center, College of Medicine, University of Ulsan, 88, Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea
| | - Young Seok Kim
- Department of Radiation Oncology, Asan Medical Center, College of Medicine, University of Ulsan, 88, Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea.
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24
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Tazat K, Reshetnyak O, Shtraus N, Sayag I, Mabjeesh NJ, Amir S. Delivery of Radiation at the Lowest Dose Rate by a Modern Linear Accelerator is Most Effective in Inhibiting Prostate Cancer Growth. Technol Cancer Res Treat 2020; 19:1533033820935525. [PMID: 32608338 PMCID: PMC7331765 DOI: 10.1177/1533033820935525] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
PURPOSE External beam radiotherapy is one of the treatment options for organ-confined prostate cancer. A total dose of 70 to 81 Gray (Gy) is given daily (1.8-2.5 Gy/d), with a dose rate of 3 to 6 Gy/min over 28 to 45 treatments during 8 to 9 weeks. We applied the latest technological development in linear accelerators for enabling a wide range of dose rates (from 0.2-21 Gy/min) to test the effect of different delivery dose rates on prostate tumor growth in an animal xenograft model. MATERIALS AND METHODS A prostate cancer xenograft model was established in CD1/nude mice by means of PC-3 and CL-1 cells. The animals were radiated by a TrueBeam linear accelerator that delivered 4 dose rates ranging from 0.6 to 14 Gy/min, and reaching a total dose of 20 Gy. The mice were weighed and monitored for tumor development twice weekly. A 2-way analysis of variance was used to compare statistical differences between the groups. RESULTS Tumor growth was inhibited by radiation at all 4 dose rates in the 20 study mice compared to no radiation (n = 5, controls). The most significant reduction in tumor volumes was observed when the same dose of radiation was delivered at a rate of 0.6 Gy/min (P < .01). The animals' weights were not affected by any dose rate. CONCLUSIONS Delivery of radiation with a TrueBeam linear accelerator at the lowest possible rate was most effective in prostate cancer growth inhibition and might be considered a preferential treatment mode for localized prostate cancer.
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Affiliation(s)
- Keren Tazat
- Prostate Cancer Research Laboratory, Tel Aviv University, Tel Aviv, Israel
| | - Oleg Reshetnyak
- Prostate Cancer Research Laboratory, Tel Aviv University, Tel Aviv, Israel
| | - Natan Shtraus
- Institute of Radiotherapy, Tel Aviv Medical Center, Tel Aviv, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Ifat Sayag
- Prostate Cancer Research Laboratory, Tel Aviv University, Tel Aviv, Israel
| | - Nicola J. Mabjeesh
- Prostate Cancer Research Laboratory, Tel Aviv University, Tel Aviv, Israel
- Department of Urology, Soroka University Medical Center and Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | - Sharon Amir
- Prostate Cancer Research Laboratory, Tel Aviv University, Tel Aviv, Israel
- Sharon Amir, Prostate Cancer Research Laboratory, Tel Aviv Sourasky Medical Center, 6 Weizmann Street, Tel Aviv 6423910, Israel.
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25
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Martell K, Roy S, Meyer T, Stosky J, Jiang W, Thind K, Roumeliotis M, Bosch J, Angyalfi S, Quon H, Husain S. Analysis of outcomes after non-contour-based dose painting of dominant intra-epithelial lesion in intra-operative low-dose rate brachytherapy. Heliyon 2020; 6:e04092. [PMID: 32548323 PMCID: PMC7286970 DOI: 10.1016/j.heliyon.2020.e04092] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2020] [Revised: 05/20/2020] [Accepted: 05/26/2020] [Indexed: 11/27/2022] Open
Abstract
Purpose To compare the outcomes of patients with intermediate risk prostate cancer (IR-PCa) treated with low-dose rate I-125 seed brachytherapy (LDR-BT) and targeted dose painting of a histologic dominant intra-epithelial lesion (DIL) to those without a DIL. Methods 455 patients with IR-PCa were treated at a single center with intra-operatively planned LDR-BT, each following the same in-house dose constraints. Patients with a DIL on pathology had hot spots localized to that region but no specific contouring during the procedure. Results 396 (87%) patients had a DIL. Baseline tumor characteristics and overall prostate dosimetry were similar between patients with and without DIL except the median number of biopsy cores taken: 10 (10–12) vs 12 (10–12) (p = 0.002). 19 (5%) and 18 (5%) of patients with and 1 (2%) and 0 (0%) of those without DIL experienced CTCAE grade 2 and 3 toxicity respectively. Overall, toxicity grade did not significantly correlate with presence of DIL (p = 0.10). Estimated 7-year freedom from biochemical failure (FFBF) was 84% (95% confidence interval: 79–89) and 70% (54–89) in patients with and without a DIL (log-rank p = 0.315). In DIL patients, cox regression revealed location of DIL (“Base” vs “Apex” HR: 1.03; 1.00–1.06; p = 0.03) and older age (70 vs 60 HR: 1.62; 1.06–2.49; p = 0.03) was associated with poor FFBF. Conclusions Targeting DIL through dose painting during intraoperatively planned LDR-BT provided no statistically significant change in FFBF. Patients with DILs in the prostate base had slightly lower FFBF despite DIL boost.
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Affiliation(s)
- Kevin Martell
- University of Calgary, Department of Oncology, Calgary, AB, Canada.,Alberta Health Services, Calgary Zone, Calgary, AB, Canada
| | - Soumyajit Roy
- University of Calgary, Department of Oncology, Calgary, AB, Canada.,Alberta Health Services, Calgary Zone, Calgary, AB, Canada.,Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Tyler Meyer
- University of Calgary, Department of Oncology, Calgary, AB, Canada.,Alberta Health Services, Calgary Zone, Calgary, AB, Canada
| | - Jordan Stosky
- University of Calgary, Department of Oncology, Calgary, AB, Canada.,Alberta Health Services, Calgary Zone, Calgary, AB, Canada
| | - Will Jiang
- University of Calgary, Department of Oncology, Calgary, AB, Canada.,Alberta Health Services, Calgary Zone, Calgary, AB, Canada
| | - Kundan Thind
- University of Calgary, Department of Oncology, Calgary, AB, Canada.,Alberta Health Services, Calgary Zone, Calgary, AB, Canada
| | - Michael Roumeliotis
- University of Calgary, Department of Oncology, Calgary, AB, Canada.,Alberta Health Services, Calgary Zone, Calgary, AB, Canada
| | - John Bosch
- Alberta Health Services, Calgary Zone, Calgary, AB, Canada
| | - Steve Angyalfi
- University of Calgary, Department of Oncology, Calgary, AB, Canada.,Alberta Health Services, Calgary Zone, Calgary, AB, Canada
| | - Harvey Quon
- University of Calgary, Department of Oncology, Calgary, AB, Canada.,Alberta Health Services, Calgary Zone, Calgary, AB, Canada
| | - Siraj Husain
- University of Calgary, Department of Oncology, Calgary, AB, Canada.,Alberta Health Services, Calgary Zone, Calgary, AB, Canada
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26
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Goodman CD, Fakir H, Pautler S, Chin J, Bauman GS. Dosimetric Evaluation of PSMA PET-Delineated Dominant Intraprostatic Lesion Simultaneous Infield Boosts. Adv Radiat Oncol 2020; 5:212-220. [PMID: 32280821 PMCID: PMC7136625 DOI: 10.1016/j.adro.2019.09.004] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2019] [Revised: 08/30/2019] [Accepted: 09/18/2019] [Indexed: 02/07/2023] Open
Abstract
PURPOSE Prostate cancer is multifocal. However, there often exists a single dominant focus in the gland responsible for driving the biology of the disease. Dose escalation to the dominant lesion is a proposed strategy to increase tumor control. We applied radiobiological modeling to evaluate the dosimetric feasibility and benefit of dominant intraprostatic lesion simultaneous in-field boosts (DIL-SIB) to the gross tumor volume (GTV), defined using a novel molecular positron emission tomography (PET) probe (18F-DCFPyL) directed against prostate specific membrane antigen (PSMA). METHODS AND MATERIALS Patients with clinically localized, biopsy-proven prostate cancer underwent preoperative [18F]-DCFPyL PET/computed tomography (CT). DIL-SIB plans were generated by importing the PET/CT into the RayStation treatment planning system. GTV-PET for the DIL-SIB was defined by the highest %SUVmax (percentage of maximum standardized uptake value) that generated a biologically plausible volume. Volumetric arc-based plans incorporating prostate plus DIL-SIB treatment were generated. Tumor control probability (TCP) and normal tissue complication probability (NTCP) with fractionation schemes and boost doses specified in the FLAME (Investigate the Benefit of a Focal Lesion Ablative Microboost in Prostate Cancer; NCT01168479), PROFIT (Prostate Fractionated Irradiation Trial; NCT00304759), PACE (Prostate Advances in Comparative Evidence; NCT01584258), and hypoFLAME (Hypofractionated Focal Lesion Ablative Microboost in prostatE Cancer 2.0; NCT02853110) protocols were compared. RESULTS Comparative DIL-SIB plans for 6 men were generated from preoperative [18F]-DCFPyL PET/CT. Median boost GTV volume was 1.015 cm3 (0.42-1.83 cm3). Median minimum (D99%) DIL-SIB dose for F35BS, F20BS, F5BS, and F5BSH were 97.3 Gy, 80.8 Gy, 46.5 Gy, and 51.5Gy. TCP within the GTV ranged from 84% to 88% for the standard plan and 95% to 96% for the DIL-SIB plans. Within the rest of the prostate, TCP ranged from 89% to 91% for the standard plans and 90% to 92% for the DIL-SIB plans. NTCP for the rectum NTCP was similar for the DIL-SIB plans (0.3%-2.7%) compared with standard plans (0.7%-2.6%). Overall, DIL-SIB plans yielded higher uncomplicated TCP (NTCP, 90%-94%) versus standard plans (NTCP, 83%-85%). CONCLUSIONS PSMA PET provides a novel approach to define GTV for SIB-DIL dose escalation. Work is ongoing to validate PSMA PET-delineated GTV through correlation to coregistered postprostatectomy digitized histopathology.
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Affiliation(s)
- Christopher D. Goodman
- Department of Radiation Oncology, London Regional Cancer Program, London, Ontario, Canada
| | - Hatim Fakir
- Department of Radiation Oncology, London Regional Cancer Program, London, Ontario, Canada
| | - Stephen Pautler
- Division of Urology, Department of Surgery and Division of Surgical Oncology, Department of Oncology, Western University, London, Ontario, Canada
| | - Joseph Chin
- Division of Urology, Department of Surgery and Division of Surgical Oncology, Department of Oncology, Western University, London, Ontario, Canada
| | - Glenn S. Bauman
- Department of Radiation Oncology, London Regional Cancer Program, London, Ontario, Canada
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27
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Alexander EJ, Murray JR, Morgan VA, Giles SL, Riches SF, Hazell S, Thomas K, Sohaib SA, Thompson A, Gao A, Dearnaley DP, DeSouza NM. Validation of T2- and diffusion-weighted magnetic resonance imaging for mapping intra-prostatic tumour prior to focal boost dose-escalation using intensity-modulated radiotherapy (IMRT). Radiother Oncol 2019; 141:181-187. [PMID: 31493904 PMCID: PMC6908966 DOI: 10.1016/j.radonc.2019.07.030] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2018] [Revised: 07/22/2019] [Accepted: 07/25/2019] [Indexed: 01/28/2023]
Abstract
BACKGROUND AND PURPOSE To assess the diagnostic accuracy and inter-observer agreement of T2-weighted (T2W) and diffusion-weighted (DW) magnetic resonance imaging (MRI) for mapping intra-prostatic tumour lesions (IPLs) for the purpose of focal dose-escalation in prostate cancer radiotherapy. MATERIALS AND METHODS Twenty-six men selected for radical treatment with radiotherapy were recruited prospectively and underwent pre-treatment T2W+DW-MRI and 5 mm spaced transperineal template-guided mapping prostate biopsies (TTMPB). A 'traffic-light' system was used to score both data sets. Radiologically suspicious lesions measuring ≥0.5 cm3 were classified as red; suspicious lesions 0.2-0.5 cm3 or larger lesions equivocal for tumour were classified as amber. The histopathology assessment combined pathological grade and tumour length on biopsy (red = ≥4 mm primary Gleason grade 4/5 or ≥6 mm primary Gleason grade 3). Two radiologists assessed the MRI data and inter-observer agreement was measured with Cohens' Kappa co-efficient. RESULTS Twenty-five of 26 men had red image-defined IPLs by both readers, 24 had red pathology-defined lesions. There was a good correlation between lesions ≥0.5 cm3 classified "red" on imaging and "red" histopathology in biopsies (Reader 1: r = 0.61, p < 0.0001, Reader 2: r = 0.44, p = 0.03). Diagnostic accuracy for both readers for red image-defined lesions was sensitivity 85-86%, specificity 93-98%, positive predictive value (PPV) 79-92% and negative predictive value (NPV) 96%. Inter-observer agreement was good (Cohen's Kappa 0.61). CONCLUSIONS MRI is accurate for mapping clinically significant prostate cancer; diffusion-restricted lesions ≥0.5 cm3 can be confidently identified for radiation dose boosting.
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Affiliation(s)
- E J Alexander
- The Royal Marsden NHS Foundation Trust, Sutton, UK; The Institute of Cancer Research, Sutton, UK.
| | - J R Murray
- The Royal Marsden NHS Foundation Trust, Sutton, UK; The Institute of Cancer Research, Sutton, UK.
| | - V A Morgan
- The Institute of Cancer Research, Sutton, UK.
| | - S L Giles
- The Institute of Cancer Research, Sutton, UK.
| | - S F Riches
- The Institute of Cancer Research, Sutton, UK.
| | - S Hazell
- The Royal Marsden NHS Foundation Trust, Sutton, UK.
| | - K Thomas
- The Royal Marsden NHS Foundation Trust, Sutton, UK
| | - S A Sohaib
- The Royal Marsden NHS Foundation Trust, Sutton, UK.
| | - A Thompson
- The Royal Marsden NHS Foundation Trust, Sutton, UK.
| | - A Gao
- The Royal Marsden NHS Foundation Trust, Sutton, UK; The Institute of Cancer Research, Sutton, UK.
| | - D P Dearnaley
- The Royal Marsden NHS Foundation Trust, Sutton, UK; The Institute of Cancer Research, Sutton, UK.
| | - N M DeSouza
- The Royal Marsden NHS Foundation Trust, Sutton, UK; The Institute of Cancer Research, Sutton, UK.
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Lee J, Carver E, Feldman A, Pantelic MV, Elshaikh M, Wen N. Volumetric and Voxel-Wise Analysis of Dominant Intraprostatic Lesions on Multiparametric MRI. Front Oncol 2019; 9:616. [PMID: 31334128 PMCID: PMC6624674 DOI: 10.3389/fonc.2019.00616] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2019] [Accepted: 06/24/2019] [Indexed: 12/11/2022] Open
Abstract
Introduction: Multiparametric MR imaging (mpMRI) has shown promising results in the diagnosis and localization of prostate cancer. Furthermore, mpMRI may play an important role in identifying the dominant intraprostatic lesion (DIL) for radiotherapy boost. We sought to investigate the level of correlation between dominant tumor foci contoured on various mpMRI sequences. Methods: mpMRI data from 90 patients with MR-guided biopsy-proven prostate cancer were obtained from the SPIE-AAPM-NCI Prostate MR Classification Challenge. Each case consisted of T2-weighted (T2W), apparent diffusion coefficient (ADC), and Ktrans images computed from dynamic contrast-enhanced sequences. All image sets were rigidly co-registered, and the dominant tumor foci were identified and contoured for each MRI sequence. Hausdorff distance (HD), mean distance to agreement (MDA), and Dice and Jaccard coefficients were calculated between the contours for each pair of MRI sequences (i.e., T2 vs. ADC, T2 vs. Ktrans, and ADC vs. Ktrans). The voxel wise spearman correlation was also obtained between these image pairs. Results: The DILs were located in the anterior fibromuscular stroma, central zone, peripheral zone, and transition zone in 35.2, 5.6, 32.4, and 25.4% of patients, respectively. Gleason grade groups 1-5 represented 29.6, 40.8, 15.5, and 14.1% of the study population, respectively (with group grades 4 and 5 analyzed together). The mean contour volumes for the T2W images, and the ADC and Ktrans maps were 2.14 ± 2.1, 2.22 ± 2.2, and 1.84 ± 1.5 mL, respectively. Ktrans values were indistinguishable between cancerous regions and the rest of prostatic regions for 19 patients. The Dice coefficient and Jaccard index were 0.74 ± 0.13, 0.60 ± 0.15 for T2W-ADC and 0.61 ± 0.16, 0.46 ± 0.16 for T2W-Ktrans. The voxel-based Spearman correlations were 0.20 ± 0.20 for T2W-ADC and 0.13 ± 0.25 for T2W-Ktrans. Conclusions: The DIL contoured on T2W images had a high level of agreement with those contoured on ADC maps, but there was little to no quantitative correlation of these results with tumor location and Gleason grade group. Technical hurdles are yet to be solved for precision radiotherapy to target the DILs based on physiological imaging. A Boolean sum volume (BSV) incorporating all available MR sequences may be reasonable in delineating the DIL boost volume.
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Affiliation(s)
- Joon Lee
- Department of Radiation Oncology, Henry Ford Health System, Detroit, MI, United States
| | - Eric Carver
- Department of Radiation Oncology, Henry Ford Health System, Detroit, MI, United States
| | - Aharon Feldman
- Department of Radiation Oncology, Henry Ford Health System, Detroit, MI, United States
| | - Milan V Pantelic
- Department of Radiology, Henry Ford Health System, Detroit, MI, United States
| | - Mohamed Elshaikh
- Department of Radiation Oncology, Henry Ford Health System, Detroit, MI, United States
| | - Ning Wen
- Department of Radiation Oncology, Henry Ford Health System, Detroit, MI, United States
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Ballhausen H, Li M, Reiner M, Belka C. Dosimetric impact of intrafraction motion on boosts on intraprostatic lesions: a simulation based on actual motion data from real time ultrasound tracking. Radiat Oncol 2019; 14:81. [PMID: 31096991 PMCID: PMC6524311 DOI: 10.1186/s13014-019-1285-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2018] [Accepted: 04/25/2019] [Indexed: 01/24/2023] Open
Abstract
Background Intrafraction motion is particularly problematic in case of small target volumes and narrow margins. Here we simulate the dose coverage of intraprostatic lesions (IPL) by simultaneous integrated boosts (SIB). For this purpose, we use a large sample of actual intrafraction motion data. Methods Fifty-three h of intra-fraction motion of the prostate were recorded in real-time by 4D ultrasound (4DUS) during 720 fractions in 28 patients. We simulate spherical IPLs with 3, 5, and 7 mm radius and matching spherical SIBs with 0, 2, and 5 mm safety margins. The volumetric overlap between IPLs and SIBs is calculated. Dose volume histograms (DVH) are estimated by Monte Carlo simulation. Results On average, the distance of the prostate was 1.3 mm from its initial position over all fractions and patients. Average volumetric overlap was 73, 82, and 87% of IPL volume in case of 3, 5, and 7 mm IPLs and SIBs without safety margins. These improved to 95% or more in case of 2 mm safety margins and 98% or more in case of 5 mm safety margins. DVHs showed that 80% of the IPL volume received 60, 72, and 79% of maximum dose in case of 3, 5, and 7 mm IPLs and SIBs without safety margins. These improved to 94% or more given moderately sized safety margins of 2 mm. Conclusions On average over all fractions and patients, the dose coverage would have been acceptable even for small target volumes such as IPLs of radius 3 to 7 mm and narrow fields. Moderate safety margins of 2 mm could have ensured a delivery of 90% or more of the SIB dose to the IPL. In this case, SIB volume would have been considerably larger than IPL volume, but still considerably smaller than the overall PTV of the prostate. Electronic supplementary material The online version of this article (10.1186/s13014-019-1285-1) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Hendrik Ballhausen
- Department of Radiation Oncology, University Hospital, LMU Munich, Marchioninistrasse 15, 81377, Munich, Germany.
| | - Minglun Li
- Department of Radiation Oncology, University Hospital, LMU Munich, Marchioninistrasse 15, 81377, Munich, Germany
| | - Michael Reiner
- Department of Radiation Oncology, University Hospital, LMU Munich, Marchioninistrasse 15, 81377, Munich, Germany
| | - Claus Belka
- Department of Radiation Oncology, University Hospital, LMU Munich, Marchioninistrasse 15, 81377, Munich, Germany
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Guimond E, Lavallée MC, Foster W, Vigneault É, Guay K, Martin AG. Impact of a dominant intraprostatic lesion (DIL) boost defined by sextant biopsy in permanent I-125 prostate implants on biochemical disease free survival (bDFS) and toxicity outcomes. Radiother Oncol 2019; 133:62-67. [PMID: 30935583 DOI: 10.1016/j.radonc.2018.12.027] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2018] [Revised: 12/22/2018] [Accepted: 12/30/2018] [Indexed: 11/15/2022]
Abstract
BACKGROUND AND PURPOSE To compare bDFS and toxicity outcomes in a population of intermediate risk prostate cancer patients treated using I-125 LDR brachytherapy with or without DIL boost based on multiple core biopsy maps. MATERIALS AND METHODS Between January 2005 and December 2013, all our intermediate risk prostate cancer patients treated with LDR I-125 brachytherapy were reviewed. All patients were given 144 Gy to the prostate. A pathologic DIL distribution (defined by sextant biopsy) was contoured prospectively prior to planning, to be covered by the 150% isodose line. Of the 165 patients treated, 55 received a DIL boost. Patients completed prospectively the IPSS questionnaire, a sexual and bowel function questionnaire. Gastro-intestinal toxicities were graded according to CTCAE v4.03. A patient was considered to have erectile dysfunction if he was unable to achieve erection to perform intercourse. BDFS was determined according to the Phoenix consensus definitions. RESULTS The median follow-up was 78 months. The estimated 7-year bDFS rate was 96% (95% CI, 74-99%) in the DIL group versus 89% (95% CI, 79-94%) in the control group (p = 0.188). There was no difference between groups in urinary, gastro-intestinal or sexual toxicities up to 5 years of follow-up. There was no difference in urinary obstruction with catheterization between DIL versus control groups (3,6 vs 2,8 %, p = 1.00). Only 1 patient in the DIL group had ≥grade 3 toxicity (TURP) and none in the control group. CONCLUSIONS Boost to DIL defined by sextant biopsy with permanent seed prostate implant shows a trend toward improvement of biochemical control in intermediate risk prostate cancer patient without increasing toxicity.
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Affiliation(s)
- Elizabeth Guimond
- Centre Hospitalier Universitaire de Québec - Université Laval, Canada; Laval University, Québec, Canada.
| | | | - William Foster
- Centre Hospitalier Universitaire de Québec - Université Laval, Canada; Laval University, Québec, Canada.
| | - Éric Vigneault
- Centre Hospitalier Universitaire de Québec - Université Laval, Canada; Laval University, Québec, Canada.
| | | | - André-Guy Martin
- Centre Hospitalier Universitaire de Québec - Université Laval, Canada; Laval University, Québec, Canada.
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Genitourinary System Cancers. Radiat Oncol 2019. [DOI: 10.1007/978-3-319-97145-2_6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022] Open
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Tamihardja J, Zenk M, Flentje M. MRI-guided localization of the dominant intraprostatic lesion and dose analysis of volumetric modulated arc therapy planning for prostate cancer. Strahlenther Onkol 2018; 195:145-152. [PMID: 30209535 DOI: 10.1007/s00066-018-1364-5] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2018] [Accepted: 08/23/2018] [Indexed: 01/10/2023]
Abstract
PURPOSE Primary radiation therapy is a curative treatment option for prostate cancer. The aim of this study was to evaluate the detection of the dominant intraprostatic lesion (DIL) with magnetic resonance imaging (MRI) for radiotherapy treatment planning, the comparison with transrectal ultrasound (TRUS)-guided biopsies and the examination of the dose distribution in relation to the DIL location. MATERIALS AND METHODS In all, 54 patients with treatment planning MRI for primary radiotherapy of prostate cancer from 03/2015 to 03/2017 at the Universitätsklinikum Würzburg were identified. The localization of the DIL was based on MRI with T2- and diffusion-weighted imaging. After registration of the MR image sets within Pinnacle3 (Philips Radiation Oncology Systems, Fitchburg, WI, USA), the dose distribution was analyzed. The location of the DIL was compared to the pathology reports in a side-based manner. RESULTS The DIL mean dose (Dmean) was 77.51 ± 0.77 Gy and in 50/51 cases within the tolerance range or exceeded the prescribed dose. There was a significant difference in Dmean between ventral (n = 21) and dorsal (n = 30) DIL (77.87 ± 0.67 vs. 77.26 ± 0.77 Gy; p = 0.005). MRI-guided localization showed an accuracy and sensitivity of up to 78.8% and 82.1% for inclusion of secondary lesions, respectively. CONCLUSION Up to 82.1% of histologically verified intraprostatic lesions were identified in the context of MRI-guided radiotherapy treatment planning. As expected, dorsal DIL tend to be minimally underdosed in comparison to ventral DIL. Adequate dose coverage was achieved in over 98% of patients.
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Affiliation(s)
- Jörg Tamihardja
- Klinik und Poliklinik für Strahlentherapie, Universitätsklinikum Würzburg, Josef-Schneider-Straße 11, 97080, Würzburg, Germany.
| | - Maria Zenk
- Klinik und Poliklinik für Strahlentherapie, Universitätsklinikum Würzburg, Josef-Schneider-Straße 11, 97080, Würzburg, Germany
| | - Michael Flentje
- Klinik und Poliklinik für Strahlentherapie, Universitätsklinikum Würzburg, Josef-Schneider-Straße 11, 97080, Würzburg, Germany
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An Automated Multiparametric MRI Quantitative Imaging Prostate Habitat Risk Scoring System for Defining External Beam Radiation Therapy Boost Volumes. Int J Radiat Oncol Biol Phys 2018; 102:821-829. [PMID: 29908220 DOI: 10.1016/j.ijrobp.2018.06.003] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2017] [Revised: 05/21/2018] [Accepted: 06/05/2018] [Indexed: 12/18/2022]
Abstract
PURPOSE To develop a prostate tumor habitat risk scoring (HRS) system based on multiparametric magnetic resonance imaging (mpMRI) referenced to prostatectomy Gleason score (GS) for automatic delineation of gross tumor volumes. A workflow for integration of HRS into radiation therapy boost volume dose escalation was developed in the framework of a phase 2 randomized clinical trial (BLaStM). METHODS AND MATERIALS An automated quantitative mpMRI-based 10-point pixel-by-pixel method was optimized to prostatectomy GSs and volumes using referenced dynamic contrast-enhanced and apparent diffusion coefficient sequences. The HRS contours were migrated to the planning computed tomography scan for boost volume generation. RESULTS There were 51 regions of interest in 12 patients who underwent radical prostatectomy (26 with GS ≥7 and 25 with GS 6). The resultant heat maps showed inter- and intratumoral heterogeneity. The HRS6 level was significantly associated with radical prostatectomy regions of interest (slope 1.09, r = 0.767; P < .0001). For predicting the likelihood of cancer, GS ≥7 and GS ≥8 HRS6 area under the curve was 0.718, 0.802, and 0.897, respectively. HRS was superior to the Prostate Imaging, Reporting and Diagnosis System 4/5 classification, wherein the area under the curve was 0.62, 0.64, and 0.617, respectively (difference with HR6, P < .0001). HRS maps were created for the first 37 assessable patients on the BLaStM trial. There were an average of 1.38 habitat boost volumes per patient at a total boost volume average of 3.6 cm3. CONCLUSIONS An automated quantitative mpMRI-based method was developed to objectively guide dose escalation to high-risk habitat volumes based on prostatectomy GS.
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Yang F, Ford JC, Dogan N, Padgett KR, Breto AL, Abramowitz MC, Dal Pra A, Pollack A, Stoyanova R. Magnetic resonance imaging (MRI)-based radiomics for prostate cancer radiotherapy. Transl Androl Urol 2018; 7:445-458. [PMID: 30050803 PMCID: PMC6043736 DOI: 10.21037/tau.2018.06.05] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2018] [Accepted: 06/05/2018] [Indexed: 11/25/2022] Open
Abstract
In radiotherapy (RT) of prostate cancer, dose escalation has been shown to reduce biochemical failure. Dose escalation only to determinate prostate tumor habitats has the potential to improve tumor control with less toxicity than when the entire prostate is dose escalated. Other issues in the treatment of the RT patient include the choice of the RT technique (hypo- or standard fractionation) and the use and length of concurrent/adjuvant androgen deprivation therapy (ADT). Up to 50% of high-risk men demonstrate biochemical failure suggesting that additional strategies for defining and treating patients based on improved risk stratification are required. The use of multiparametric MRI (mpMRI) is rapidly gaining momentum in the management of prostate cancer because of its improved diagnostic potential and its ability to combine functional and anatomical information. Currently, the Prostate Imaging, Reporting and Diagnosis System (PIRADS) is the standard of care for region of interest (ROI) identification and risk classification. However, PIRADS was not designed for 3D tumor volume delineation; there is a large degree of subjectivity and PIRADS does not accurately and reproducibly elucidate inter- and intra-lesional spatial heterogeneity. "Radiomics", as it refers to the extraction and analysis of large number of advanced quantitative radiological features from medical images using high throughput methods, is perfectly suited as an engine to effectively sift through the multiple series of prostate mpMRI sequences and quantify regions of interest. The radiomic efforts can be summarized in two main areas: (I) detection/segmentation of the suspicious lesion; and (II) assessment of the aggressiveness of prostate cancer. As related to RT, the goal of the latter is in particular to identify patients at high risk for metastatic disease; and the aim of the former is to identify and segment cancerous lesions and thus provide targets for radiation boost. The article is structured as follows: first, we describe the radiomic approach; and second, we discuss the radiomic pipeline as tailored for RT of prostate cancer. In this process we summarize the current efforts and progress in integrating mpMRI radiomics into the radiotherapeutic management of prostate cancer with emphasis placed on its role in treatment target definition, treatment plan strategizing, and prognostic assessment. The described concepts, methods and tools are not currently applicable to the radiation oncology practice outside of the research setting. More data are required in the form of clinical trials to assess the robustness of radiomics-based predictive models, and to maximize the efficacy of these models.
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Affiliation(s)
- Fei Yang
- Department of Radiation Oncology, University of Miami Miller School of Medicine, Miami, FL 33136, USA
| | - John C. Ford
- Department of Radiation Oncology, University of Miami Miller School of Medicine, Miami, FL 33136, USA
| | - Nesrin Dogan
- Department of Radiation Oncology, University of Miami Miller School of Medicine, Miami, FL 33136, USA
| | - Kyle R. Padgett
- Department of Radiation Oncology, University of Miami Miller School of Medicine, Miami, FL 33136, USA
- Department of Radiology, University of Miami Miller School of Medicine, Miami, FL 33136, USA
| | - Adrian L. Breto
- Department of Radiation Oncology, University of Miami Miller School of Medicine, Miami, FL 33136, USA
| | - Matthew C. Abramowitz
- Department of Radiation Oncology, University of Miami Miller School of Medicine, Miami, FL 33136, USA
| | - Alan Dal Pra
- Department of Radiation Oncology, University of Miami Miller School of Medicine, Miami, FL 33136, USA
| | - Alan Pollack
- Department of Radiation Oncology, University of Miami Miller School of Medicine, Miami, FL 33136, USA
| | - Radka Stoyanova
- Department of Radiation Oncology, University of Miami Miller School of Medicine, Miami, FL 33136, USA
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Timon G, Ciardo D, Bazani A, Marvaso G, Riva G, Volpe S, Rojas DP, Renne G, Petralia G, Zerini D, Fodor C, Dicuonzo S, Maestri D, Pansini F, Cambria R, Cattani F, Golino F, Scroffi V, De Lorenzo D, De Cobelli O, Orecchia R, Jereczek-Fossa BA. Short-term high precision radiotherapy for early prostate cancer with concomitant boost to the dominant lesion: ad interim analysis and preliminary results of Phase II trial AIRC-IG-13218. Br J Radiol 2018; 91:20160725. [PMID: 29750539 DOI: 10.1259/bjr.20160725] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
OBJECTIVE To report preliminary results of a cutting edge extreme hypofractionated treatment with concomitant boost to the dominant lesion for patients with early stage prostate cancer (PCa). METHODS AIRC-IG-13218 is a prospective Phase II trial started in June 2015. Patients with low and intermediate risk PCa who met the inclusion criteria underwent extreme hypofractionated radiotherapy to the prostate (36.25 Gy in 5 fractions) and a simultaneous integrated boost to the dominant intraprostatic lesion (DIL) to 37.5 Gy. The DIL was identified by a multiparamentric MRI (mpMRI) co-registered with planning CT. Toxicity was assessed according to CTCAE v4.0 and RTOG/EORTC criteria. The preliminary evaluation of the first 13 patients was required to confirm the feasibility of the treatment before completing the enrollment of 65 patients. RESULTS The first 13 patients completed the treatment between June 2015 and February 2016. With a median clinical follow-up of 17 months (range 11-26), no Grade 3 or 4 early toxicity was reported. CONCLUSIONS Our preliminary data about early toxicity of an extreme hypofractionated schedule with concomitant boost on the DIL are encouraging. The higher number of patients expected for the trial and a longer follow-up are needed to confirm these results. Advances in knowledge: The use of mpMRI to identify and boost the DIL is an innovative and interesting approach to PCa. Our preliminary findings suggest that dose escalation using DIL boost and extremely hypofractionated radiotherapy regimens might be a safe approach, allowing for short and effective treatment of organ-confined PCa.
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Affiliation(s)
- Giorgia Timon
- 1 Department of Radiotherapy, European Institute of Oncology , Milan , Italy.,2 Radiation Oncology Unit, Arcispedale Santa Maria Nuova - IRCCS , Reggio Emilia , Italy
| | - Delia Ciardo
- 1 Department of Radiotherapy, European Institute of Oncology , Milan , Italy
| | - Alessia Bazani
- 3 Medical Physics Unit, European Institute of Oncology , Milan , Italy
| | - Giulia Marvaso
- 1 Department of Radiotherapy, European Institute of Oncology , Milan , Italy
| | - Giulia Riva
- 1 Department of Radiotherapy, European Institute of Oncology , Milan , Italy.,4 Department of Oncology and Hemato-oncology, University of Milan , Milan , Italy
| | - Stefania Volpe
- 1 Department of Radiotherapy, European Institute of Oncology , Milan , Italy.,4 Department of Oncology and Hemato-oncology, University of Milan , Milan , Italy
| | - Damaris P Rojas
- 1 Department of Radiotherapy, European Institute of Oncology , Milan , Italy.,4 Department of Oncology and Hemato-oncology, University of Milan , Milan , Italy
| | - Giuseppe Renne
- 5 Department of Pathology, European Institute of Oncology , Milan , Italy
| | - Giuseppe Petralia
- 4 Department of Oncology and Hemato-oncology, University of Milan , Milan , Italy.,6 Department of Radiology, European Institute of Oncology , Milan , Italy
| | - Dario Zerini
- 1 Department of Radiotherapy, European Institute of Oncology , Milan , Italy
| | - Cristiana Fodor
- 1 Department of Radiotherapy, European Institute of Oncology , Milan , Italy
| | - Samantha Dicuonzo
- 1 Department of Radiotherapy, European Institute of Oncology , Milan , Italy
| | - Davide Maestri
- 3 Medical Physics Unit, European Institute of Oncology , Milan , Italy.,4 Department of Oncology and Hemato-oncology, University of Milan , Milan , Italy
| | - Floriana Pansini
- 3 Medical Physics Unit, European Institute of Oncology , Milan , Italy
| | - Raffaella Cambria
- 3 Medical Physics Unit, European Institute of Oncology , Milan , Italy
| | - Federica Cattani
- 3 Medical Physics Unit, European Institute of Oncology , Milan , Italy
| | - Federica Golino
- 1 Department of Radiotherapy, European Institute of Oncology , Milan , Italy
| | - Valerio Scroffi
- 1 Department of Radiotherapy, European Institute of Oncology , Milan , Italy
| | | | - Ottavio De Cobelli
- 4 Department of Oncology and Hemato-oncology, University of Milan , Milan , Italy.,8 Department of Urology, European Institute of Oncology , Milan , Italy
| | - Roberto Orecchia
- 7 Scientific Direction, European Institute of Oncology , Milan , Italy.,9 Department of Medical Imaging and Radiation Sciences, European Institute of Oncology , Milan , Italy
| | - Barbara Alicja Jereczek-Fossa
- 1 Department of Radiotherapy, European Institute of Oncology , Milan , Italy.,4 Department of Oncology and Hemato-oncology, University of Milan , Milan , Italy
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Kuess P, Andrzejewski P, Nilsson D, Georg P, Knoth J, Susani M, Trygg J, Helbich TH, Polanec SH, Georg D, Nyholm T. Association between pathology and texture features of multi parametric MRI of the prostate. ACTA ACUST UNITED AC 2017; 62:7833-7854. [DOI: 10.1088/1361-6560/aa884d] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
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Hegde JV, Margolis DJ, Wang PC, Reiter RE, Huang J, Steinberg ML, Kamrava M. Establishing the distribution of satellite lesions in intermediate- and high-risk prostate cancer: implications for focused radiotherapy. Prostate Cancer Prostatic Dis 2017; 20:241-248. [PMID: 28139757 DOI: 10.1038/pcan.2016.75] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2016] [Revised: 12/20/2016] [Accepted: 12/24/2016] [Indexed: 11/09/2022]
Abstract
BACKGROUND In focused radiotherapy for prostate cancer (PC), a full dose of radiation is delivered to the index lesion while reduced dose is delivered to the remaining prostate to reduce morbidity. As PC is commonly multifocal, we investigated whether baseline clinical characteristics or multiparametric magnetic resonance imaging (mpMRI) may be useful to predict the actual pathologic distribution of PC in men with intermediate- or high-risk PC, which may better inform how to deliver focused radiotherapy. METHODS A retrospective single-institutional study was performed on 71 consecutive men with clinically localized, intermediate- or high-risk PC who underwent mpMRI followed by radical prostatectomy (RP) from January 2012 to December 2012. Logistic regression analysis was performed to evaluate preoperative predictors for satellite lesions. Performance characteristics of mpMRI to detect satellite lesions and the extent of prostate disease (one hemi-gland vs both) were also evaluated. RESULTS In all, 50.7% had satellite lesions on mpMRI. On RP specimen analysis, 66.2% had satellite lesions and 55.3% of these satellite lesions had pathologic Gleason score (pGS)⩾3+4. The sensitivity, specificity, positive predictive value, negative predictive value and accuracy for mpMRI detecting a satellite lesion being present in the RP specimen were 59.6%, 66.7%, 77.8%, 45.7% and 62.0%, respectively. The presence of MRI satellite lesions was the only preoperative predictor significantly associated with finding satellite lesions on final pathology (hazard ratio (HR), 2.95, P=0.040). There was agreement in 76.1% of the entire cohort for unilateral vs bilateral disease when incorporating both biopsy and mpMRI information and comparing with the RP specimen. CONCLUSIONS In intermediate risk or greater PC, only the presence of mpMRI satellite lesions could predict for pathologic satellite lesions. While combining biopsy and mpMRI information may improve preoperative disease localization, the relatively high incidence of bilateral hemi-gland involvement with pGS ⩾7 satellite lesions makes it challenging to appropriately select men eligible for hemi-gland therapy.
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Affiliation(s)
- J V Hegde
- Department of Radiation Oncology, University of California, Los Angeles, Los Angeles, CA, USA
| | - D J Margolis
- Department of Radiology, University of California, Los Angeles, Los Angeles, CA, USA
| | - P-C Wang
- Department of Radiation Oncology, University of California, Los Angeles, Los Angeles, CA, USA
| | - R E Reiter
- Department of Urology, University of California, Los Angeles, Los Angeles, CA, USA
| | - J Huang
- Department of Pathology, Duke University Medical Center, Durham, NC, USA
| | - M L Steinberg
- Department of Radiation Oncology, University of California, Los Angeles, Los Angeles, CA, USA
| | - M Kamrava
- Department of Radiation Oncology, University of California, Los Angeles, Los Angeles, CA, USA
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von Eyben FE, Picchio M, von Eyben R, Rhee H, Bauman G. 68Ga-Labeled Prostate-specific Membrane Antigen Ligand Positron Emission Tomography/Computed Tomography for Prostate Cancer: A Systematic Review and Meta-analysis. Eur Urol Focus 2016; 4:686-693. [PMID: 28753806 DOI: 10.1016/j.euf.2016.11.002] [Citation(s) in RCA: 172] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2016] [Revised: 09/28/2016] [Accepted: 11/03/2016] [Indexed: 12/14/2022]
Abstract
CONTEXT 68Gallium prostate-specific membrane antigen (PSMA) ligand 68Ga-HBED-CC-PSMA (68Ga-PSMA) is a promising radiotracer for positron emission tomography (PET)/computed tomography (CT) of prostate cancer. OBJECTIVE To conduct a meta-analysis to evaluate detection rate, diagnostic test accuracy, and adverse effects of 68Ga-PSMA PET/CT or PET/magnetic resonance imaging (MRI) for staging of prostate cancer and for restaging of rising prostate-specific antigen (PSA) after initial treatment. EVIDENCE ACQUISITION Following the Preferred Reporting Items for Systematic reviews and Meta-Analysis (PRISMA) guidelines, our systematic review searched for articles in PubMed and EMBASE databases from 2012 to July 2016. The reference standard was pathology after biopsy or surgery. The analyses used a random effect model and a hierarchical summary receiver operating characteristic model. EVIDENCE SYNTHESIS Fifteen 68Ga-PSMA PET/CT studies with 1256 patients met the inclusion criteria. Seven studies of staging PET/CT or PET/MRI detected a regional site of cancer for 203 of 273 patients (74%). Nine studies of restaging PET/CT detected sites of recurrence in 799 of 983 patients (81%) with a 50% detection rate (74 of 147 patients) for restaging PSA of 0.2-0.49 ng/ml and a 53% detection rate (56 of 195 patients) for restaging PSA of 0.50-0.99 ng/ml. Staging 68Ga-PSMA PET/CT in the studies had higher detection rates of sites in the prostate bed than restaging 68Ga-PSMA PET/CT (mean 57% vs 14%, p=0.031, t test). Both staging and restaging 68Ga-PSMA PET/CT found that a subgroup of the patients had metastatic sites in pelvic lymph nodes or distant organs. Eight studies of staging PET/CT undertook histologic correlations. We performed prostate-segment-based analysis specifically regarding the primary cancer lesion for four of these studies, and patient-based analysis specifically regarding pelvic lymph node metastases for four other studies. The pooled sensitivities for staging in the two groups of studies were 70% and 61%, and the pooled specificities were 84% and 97%. None of the studies reported complications from the PET/CT imaging. CONCLUSIONS 68Ga-PSMA PET/CT has clinical relevance to detect sites of recurrence for patients with PSA recurrence after radical prostatectomy (RP) with PSA levels less than 1.0 ng/ml. PATIENT SUMMARY Choline positron emission tomography (PET)/computed tomography (CT) can detect sites of recurrent prostate cancer in an earlier phase of prostate-specific antigen (PSA) recurrence than bone scans and CT scans, but choline PET/CT is rarely positive for patients with restaging PSA levels under 1 ng/ml. A new radiotracer called 68Ga-PSMA for PET/CT was able to detect sites of recurring cancer in up to 50% of patients who had an early rise in PSA exceeding 0.5 ng/ml after initial radical prostatectomy. The published studies did not report adverse effects of 68Ga-PSMA PET/CT imaging.
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Affiliation(s)
| | - Maria Picchio
- Department of Nuclear Medicine, IRCCS San Rafaele Scientific Institute, Milan, Italy
| | - Rie von Eyben
- Department of Radiation Oncology, Stanford University, San Francisco, CA, USA
| | - Handoo Rhee
- Department of Urology, Princess Alexandra Hospital, Brisbane, Australia
| | - Glenn Bauman
- Department of Radiation Oncology, University of Western Ontario in London, ON, Canada
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39
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Onjukka E, Uzan J, Baker C, Howard L, Nahum A, Syndikus I. Twenty Fraction Prostate Radiotherapy with Intra-prostatic Boost: Results of a Pilot Study. Clin Oncol (R Coll Radiol) 2016; 29:6-14. [PMID: 27692920 DOI: 10.1016/j.clon.2016.09.009] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2016] [Revised: 08/08/2016] [Accepted: 08/22/2016] [Indexed: 02/02/2023]
Abstract
AIMS For patients with high-risk, locally bulky prostate cancer, an intra-prostatic boost to tumour volumes (dose-painting) offers a risk-adapted dose escalation. We evaluated the feasibility of hypofractionated dose-painting radiotherapy and the associated toxicity. The possibility to streamline a radiobiologically optimised planning protocol was also investigated. MATERIALS AND METHODS Twenty-eight patients were treated using a dose-painting approach; boost volumes were identified with functional magnetic resonance imaging scans. The prostate dose outside the boost volume was 60 Gy in 20 fractions, and the maximum integrated boost dose was set to 68 Gy, provided that the dose constraints to the organs at risk could be fulfilled. Rotational intensity-modulated radiotherapy was used with daily image guidance and fiducial markers. RESULTS The boost dose was escalated to 68 Gy for 25 patients (median dose 69 Gy, range 68-70 Gy); for three patients the boost dose was 67 Gy, due to the proximity of the urethra and/or the rectum. The mean normal tissue complication probability for rectal bleeding was 4.7% (range 3.4-5.8%) and was 3.5% for faecal incontinence (range 2.3-5.0%). At a median follow-up of 38 months (range 32-45) there was no grade 3 toxicity. Two patients developed grade 2 genitourinary toxicity (7.1%) and none developed grade 2 gastrointestinal toxicity. The mean prostate-specific antigen (PSA) for 23 patients who had stopped the adjuvant hormone therapy with a normal testosterone was 0.27 ng/ml (0.02-0.72) at follow-up; two patients have suppressed PSA and testosterone after stopping 3 year adjuvant hormone and three patients have relapsed (one pelvic node, two PSA only) at 36, 12 and 42 months, respectively. CONCLUSIONS A hypofractionated radiotherapy schedule, 60 Gy in 20 fractions with intra-prostatic boost dose of 68 Gy, can be achieved without exceeding dose constraints for organs at risk. Hypofractionated dose-painting escalated radiotherapy has an acceptable safety profile. The same planning protocol was used in a phase II single-arm trial (BIOPROP20: ClinicalTrials.gov identifier NCT02125175) and will further be used in a large phase III randomised trial (PIVOTALboost): patients will be randomised standard radiotherapy (60 Gy in 20 fractions) with or without lymph node radiotherapy versus dose-painting radiotherapy with or without lymph node radiotherapy; the trial will be opened for recruitment in summer 2017.
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Affiliation(s)
- E Onjukka
- Clatterbridge Cancer Centre, Bebington, UK
| | - J Uzan
- Clatterbridge Cancer Centre, Bebington, UK
| | - C Baker
- Clatterbridge Cancer Centre, Bebington, UK
| | - L Howard
- Clatterbridge Cancer Centre, Bebington, UK
| | - A Nahum
- Clatterbridge Cancer Centre, Bebington, UK
| | - I Syndikus
- Clatterbridge Cancer Centre, Bebington, UK.
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