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Guckenberger M, Andratschke N, Belka C, Bellut D, Cuccia F, Dahele M, Guninski RS, Josipovic M, Mancosu P, Minniti G, Niyazi M, Ricardi U, Munck Af Rosenschold P, Sahgal A, Tsang Y, Verbakel W, Alongi F. ESTRO clinical practice guideline: Stereotactic body radiotherapy for spine metastases. Radiother Oncol 2024; 190:109966. [PMID: 37925107 DOI: 10.1016/j.radonc.2023.109966] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Accepted: 10/18/2023] [Indexed: 11/06/2023]
Abstract
BACKGROUND AND PURPOSE Recent progress in diagnostics and treatment of metastatic cancer patients have improved survival substantially. These developments also affect local therapies, with treatment aims shifting from short-term palliation to long-term symptom or disease control. There is consequently a need to better define the value of stereotactic body radiotherapy (SBRT) for the treatment of spinal metastases. METHODS This ESTRO clinical practice guideline is based on a systematic literature review conducted according to PRISMA standards, which formed the basis for answering four key questions about the indication and practice of SBRT for spine metastases. RESULTS The analysis of the key questions based on current evidence yielded 22 recommendations and 5 statements with varying levels of endorsement, all achieving a consensus among experts of at least 75%. In the majority, the level of evidence supporting the recommendations and statements was moderate or expert opinion, only, indicating that spine SBRT is still an evolving field of clinical research. Recommendations were established concerning the selection of appropriate patients with painful spine metastases and oligometastatic disease. Recommendations about the practice of spinal SBRT covered technical planning aspects including dose and fractionation, patient positioning, immobilization and image-guided SBRT delivery. Finally, recommendations were developed regarding quality assurance protocols, including description of potential SBRT-related toxicity and risk mitigation strategies. CONCLUSIONS This ESTRO clinical practice guideline provides evidence-based recommendations and statements regarding the selection of patients with spinal metastases for SBRT and its safe implementation and practice. Enrollment of patients into well-designed prospective clinical trials addressing clinically relevant questions is considered important.
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Affiliation(s)
- M Guckenberger
- Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
| | - N Andratschke
- Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - C Belka
- Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany; German Cancer Consortium (DKTK), partner site Munich, Munich, Germany; Bavarian Cancer Research Center (BZKF), Munich, Germany
| | - D Bellut
- University Hospital Zurich, University of Zurich, Department of Neurosurgery, Zurich, Switzerland
| | - F Cuccia
- ARNAS Civico Hospital, Radiation Oncology Unit, Palermo, Italy
| | - M Dahele
- Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Radiation Oncology and Cancer Center Amsterdam, de Boelelaan 1117, Amsterdam, the Netherlands
| | - R S Guninski
- Department of Radiation Oncology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - M Josipovic
- Department of Oncology, Centre for Cancer and Organ Diseases, Copenhagen University Hospital - Rigshospitalet, Blegdamsvej 9 2100, Copenhagen, Denmark; Department of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B 2200, Copenhagen, Denmark
| | - P Mancosu
- IRCCS Humanitas Research Hospital, Medical Physics Unit, Radiation Oncology department, via Manzoni 56 I-20089, Rozzano, Milan, Italy
| | - G Minniti
- Department of Radiological Sciences, Oncology and Anatomical Pathology Sapienza University of Rome, Rome, Italy; IRCCS Neuromed, Pozzilli, IS, Italy
| | - M Niyazi
- Department of Radiation Oncology, University Hospital Tübingen, Tübingen, Germany
| | - U Ricardi
- University of Turin, Department of Oncology, Turin, Italy
| | | | - A Sahgal
- Odette Cancer Center of the Sunnybrook Health Sciences Center, Department of Radiation Oncology, Toronto, Canada
| | - Y Tsang
- Princess Margaret Cancer Centre, Radiation Medicine Program, Toronto, Canada
| | - Wfar Verbakel
- Amsterdam University Medical Center, Department of Radiation Oncology, Amsterdam, the Netherlands
| | - F Alongi
- Advanced Radiation Department, IRCCS Ospedale Sacro Cuore Don Calabria, Negrar-Verona, Italy; University of Brescia, Italy
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Sahgal A, Kellett S, Nguyen T, Maralani P, Greenspoon J, Linden K, Pearce A, Siddiqi F, Ruschin M. A Cancer Care Ontario Consensus-Based Organizational Guideline for the Planning and Delivery of Spine Stereotactic Body Radiation Therapy Treatment in Ontario. Pract Radiat Oncol 2023; 13:499-509. [PMID: 37597616 DOI: 10.1016/j.prro.2023.08.001] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Accepted: 08/01/2023] [Indexed: 08/21/2023]
Abstract
The proposed recommendations are primarily based on the consensus opinion and in-field experience of the Ontario Health/Cancer Care Ontario stereotactic body radiation therapy (SBRT) for Spine Metastasis Guideline Development Group and published literature when available. Primary consideration was given to the perceived benefits for patients and the small likelihood of harm arising from recommendation implementation. Apart from the magnetic resonance imaging (MRI) follow-up strategy, all evidence was considered indirect and was provided by the working group in conjunction with their collective expertise in the field of SBRT. The application of an SBRT program requires a multidisciplinary team consisting of a radiation oncologist, spine surgeon, neuroradiologist, medical physicist, medical dosimetrist, and radiation therapist. In Canada, linear accelerators are the most used treatment delivery units and should follow technology-specific quality assurance procedures. Immobilization technique is location dependant. Treatment planning MRI sequences should be acquired no more than 14 days from the date of treatment. In the case of epidural disease, simulation MRI should be completed no more than 7 days from the date of treatment. After treatment, patients should be followed with routine clinical visits every 3 months for the first year, every 3 to 6 months during years 2 and 3, and every 4 to 6 months thereafter. The recommendations enclosed provide a framework for the minimum requirements for a cancer center in Ontario, Canada to offer SBRT for spine metastases.
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Affiliation(s)
- Arjun Sahgal
- Sunnybrook Health Sciences Center, Toronto, Ontario, Canada.
| | - Sarah Kellett
- Program in Evidence-Based Care, Hamilton, Ontario, Canada
| | | | | | | | | | | | - Fawaz Siddiqi
- London Health Sciences Center, London, Ontario, Canada
| | - Mark Ruschin
- Sunnybrook Health Sciences Center, Toronto, Ontario, Canada
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Dupuis P, François M, Baudier T, Sunyach MP, Brahmi T, Ayadi M, Biston MC. Evaluation of a dedicated software for semi-automated VMAT planning of spine Stereotactic Body Radiotherapy (SBRT). Phys Med 2023; 109:102578. [PMID: 37084679 DOI: 10.1016/j.ejmp.2023.102578] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 03/01/2023] [Accepted: 04/05/2023] [Indexed: 04/23/2023] Open
Abstract
PURPOSE To determine whether SBRT of spinal metastasis using a dedicated treatment planning system (TPS) and delivered with a gantry-based LINAC could provide plans of similar quality to the Cyberknife technology. Additional comparison was also done with other commercial TPS used for volumetric modulated arc therapy (VMAT) planning. MATERIALS AND METHODS Thirty Spine SBRT patients, previously treated in our institution with CyberKnife (Accuray, Sunnyvale) using Multiplan TPS, were replanned in VMAT with an dedicated TPS (Elements Spine SRS, Brainlab, Munich) and our clinical TPS (Monaco, Elekta LTD, Stockholm), using exactly the same arc geometry. The comparison was done by assessing differences in dose delivered to PTV, CTV and spinal cord, calculating modulation complexity scores (MCS) and performing quality control (QA) of the plans. RESULTS Regardless of the vertebra level, in general, no statistical difference was found in PTV coverage between all TPS. Conversely, PTV and CTV D50% were found significantly higher for the dedicated TPS compared to others. In addition, the dedicated TPS also resulted in better gradient index (GI) than clinical VMAT TPS, whatever the vertebral level, and better GI than Cyberknife TPS for the thoracic level only. The D2% to the spinal cord was generally significantly lower with the dedicated TPS compared with others. No significant difference was found in the MCS between both VMAT TPS. All QA were clinically acceptable. CONCLUSION The Elements Spine SRS TPS offers very effective and user-friendly semi-automated planning tools and is secure and promising for gantry-based LINAC spinal SBRT.
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Affiliation(s)
- Pauline Dupuis
- Centre Léon Bérard, 28 rue Laennec, 69373 LYON Cedex 08, France.
| | - Madani François
- Centre Léon Bérard, 28 rue Laennec, 69373 LYON Cedex 08, France
| | - Thomas Baudier
- Centre Léon Bérard, 28 rue Laennec, 69373 LYON Cedex 08, France; CREATIS, CNRS UMR5220, Inserm U1044, INSA-Lyon, Université Lyon 1, Villeurbanne, France
| | | | - Tristan Brahmi
- Centre Léon Bérard, 28 rue Laennec, 69373 LYON Cedex 08, France
| | - Myriam Ayadi
- Centre Léon Bérard, 28 rue Laennec, 69373 LYON Cedex 08, France
| | - Marie-Claude Biston
- Centre Léon Bérard, 28 rue Laennec, 69373 LYON Cedex 08, France; CREATIS, CNRS UMR5220, Inserm U1044, INSA-Lyon, Université Lyon 1, Villeurbanne, France
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Tabarestani TQ, Sykes DAW, Maquoit G, Wang TY, Ayoub CM, Shaffrey CI, Wiggins WF, Abd-El-Barr MM. Novel Merging of CT and MRI to Allow for Safe Navigation into Kambin's Triangle for Percutaneous Lumbar Interbody Fusion-Initial Case Series Investigating Safety and Efficacy. Oper Neurosurg (Hagerstown) 2023; 24:331-340. [PMID: 36701664 DOI: 10.1227/ons.0000000000000531] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Accepted: 09/18/2022] [Indexed: 01/27/2023] Open
Abstract
BACKGROUND For percutaneous lumbar fusion (percLIF), magnetic resonance imaging and computed tomography are critical to defining surgical corridors. Currently, these scans are performed separately, and surgeons then use fluoroscopy or neuromonitoring to guide instruments through Kambin's triangle. However, anatomic variations and intraoperative positional changes are possible, meaning that safely accessing Kambin's triangle remains a challenge because nerveroot visualization without endoscopes has not been thoroughly described. OBJECTIVE To overcome the known challenges of percLIF and reduce the likelihood of iatrogenic injuries by showing real-time locations of neural and bony anatomy. METHODS The authors demonstrate an intraoperative navigational platform that applies nerve root segmentation and image fusion to assist with percLIF. Five patients from a single institution were included. RESULTS Of the 5 patients, the mean age was 71 ± 8 years and 3 patients (60%) were female. One patient had general anesthesia while the remaining 4 patients underwent awake surgery with spinal anesthesia. The mean area for the L4-L5 Kambin's triangle was 76.1 ± 14.5 mm 2 . A case example is shown where the side of approach was based on the fact that Kambin's triangle was larger on one side compared with the other. The mean operative time was 170 ± 17 minutes, the mean blood loss was 32 ± 16 mL, and the mean hospital length of stay was 19.6 ± 8.3 hours. No patients developed postoperative complications. CONCLUSION This case series demonstrates the successful and safe application of nerve segmentation using magnetic resonance imaging/computed tomography fusion to perform percLIF and provide positive patient outcomes.
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Affiliation(s)
- Troy Q Tabarestani
- Department of Neurosurgery, Duke University School of Medicine, Durham, North Carolina, USA
| | - David A W Sykes
- Department of Neurosurgery, Duke University School of Medicine, Durham, North Carolina, USA
| | - Gisselle Maquoit
- Department of Anesthesiology, Duke University Hospital, Durham, North Carolina, USA
| | - Timothy Y Wang
- Department of Neurosurgery, Duke University Hospital, Durham, North Carolina, USA
| | - Chakib M Ayoub
- Department of Anesthesiology, Duke University Hospital, Durham, North Carolina, USA
| | | | - Walter F Wiggins
- Department of Radiology, Duke University Hospital, Durham, North Carolina, USA
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Netherton TJ, Nguyen C, Cardenas CE, Chung C, Klopp AH, Colbert LE, Rhee DJ, Peterson CB, Howell R, Balter P, Court LE. An Automated Treatment Planning Framework for Spinal Radiation Therapy and Vertebral-Level Second Check. Int J Radiat Oncol Biol Phys 2022; 114:516-528. [PMID: 35787928 DOI: 10.1016/j.ijrobp.2022.06.083] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 05/09/2022] [Accepted: 06/21/2022] [Indexed: 11/22/2022]
Abstract
PURPOSE Complicating factors such as time pressures, anatomic variants in the spine, and similarities in adjacent vertebrae are associated with incorrect level treatments of the spine. The purpose of this work was to mitigate such challenges by fully automating the treatment planning process for diagnostic and simulation computed tomography (CT) scans. METHODS AND MATERIALS Vertebral bodies are labeled on CT scans of any length using 2 intendent deep-learning models-mirroring 2 different experts labeling the spine. Then, a U-Net++ architecture was trained, validated, and tested to contour each vertebra (n = 220 CT scans). Features from the CT and auto-contours were input into a random forest classifier to predict whether vertebrae were correctly labeled. This classifier was trained using auto-contours from cone beam computed tomography, positron emission tomography/CT, simulation CT, and diagnostic CT images (n = 56 CT scans, 751 contours). Auto-plans were generated via scripting. Each model was combined into a framework to make a fully automated clinical tool. A retrospective planning study was conducted in which 3 radiation oncologists scored auto-plan quality on an unseen patient cohort (n = 60) on a 5-point scale. CT scans varied in scan length, presence of surgical implants, imaging protocol, and metastatic burden. RESULTS The results showed that the uniquely designed convolutional neural networks accurately labeled and segmented vertebral bodies C1-L5 regardless of imaging protocol or metastatic burden. Mean dice-similarity coefficient was 85.0% (cervical), 90.3% (thoracic), and 93.7% (lumbar). The random forest classifier predicted mislabeling across various CT scan types with an area under the curve of 0.82. All contouring and labeling errors within treatment regions (11 of 11), including errors from patient plans with atypical anatomy (eg, T13, L6) were detected. Radiation oncologists scored 98% of simulation CT-based plans and 92% of diagnostic CT-based plans as clinically acceptable or needing minor edits for patients with typical anatomy. On average, end-to-end treatment planning time of the clinical tool was less than 8 minutes. CONCLUSIONS This novel method to automatically verify, contour, and plan palliative spine treatments is efficient and effective across various CT scan types. Furthermore, it is the first to create a clinical tool that can automatically verify vertebral level in CT images.
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Affiliation(s)
- Tucker J Netherton
- Department of Radiation Physics, University of Texas MD Anderson Cancer Center, Houston, Texas.
| | - Callistus Nguyen
- Department of Radiation Physics, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Carlos E Cardenas
- Department of Radiation Physics, University of Alabama at Birmingham, Birmingham, Alabama
| | - Caroline Chung
- Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Ann H Klopp
- Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Lauren E Colbert
- Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Dong Joo Rhee
- Department of Radiation Physics, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Christine B Peterson
- Department of Biostatistics, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Rebecca Howell
- Department of Radiation Physics, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Peter Balter
- Department of Radiation Physics, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Laurence E Court
- Department of Radiation Physics, University of Texas MD Anderson Cancer Center, Houston, Texas
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Guo L, Ke L, Zeng Z, Yuan C, Wu Z, Chen L, Lu L. Stereotactic body radiotherapy for spinal metastases: a review. Med Oncol 2022; 39:103. [DOI: 10.1007/s12032-021-01613-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Accepted: 11/19/2021] [Indexed: 02/05/2023]
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Rogé M, Henni AH, Neggaz YA, Mallet R, Hanzen C, Dubray B, Colard E, Gensanne D, Thureau S. Evaluation of a Dedicated Software "Elements™ Spine SRS, Brainlab ®" for Target Volume Definition in the Treatment of Spinal Bone Metastases With Stereotactic Body Radiotherapy. Front Oncol 2022; 12:827195. [PMID: 35646624 PMCID: PMC9133331 DOI: 10.3389/fonc.2022.827195] [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: 12/01/2021] [Accepted: 03/28/2022] [Indexed: 12/25/2022] Open
Abstract
Introduction Stereotactic body radiotherapy (SBRT) is a treatment option for spine metastases. The International Spine Radiosurgery Consortium (ISRC) has published consensus guidelines for target delineation in spine SBRT. A new software called Elements™ Spine SRS by Brainlab® that includes the module Elements SmartBrush Spine (v3.0, Munich, Germany) has been developed specifically for SBRT treatment of spine metastases, and the latter provides the ability to perform semiautomatic clinical target volume (CTV) generation based on gross tumor volume (GTV) localization and guidelines. The aims of our study were to evaluate this software by studying differences in volumes between semiautomatic CTV contours compared to manual contouring performed by an expert radiation oncologist and to determine the dosimetric impact of these differences on treatment plans. Methods A total of 35 volumes ("Expert GTV" and "Expert CTV") from 30 patients were defined by a single expert. A semiautomatic definition of these 35 CTVs based on the location of "Expert GTV" and following ISRC guidelines was also performed in Elements SmartBrush Spine ("Brainlab CTV"). The spatial overlap between "Brainlab" and "Expert" CTVs was calculated using the Dice similarity coefficient (DSC). We considered a threshold of 0.80 or above to indicate that Elements SmartBrush Spine performed very well with adequate contours for clinical use. Two dosimetric treatment plans, each corresponding to a specific planning target volume (PTV; Expert PTV, Brainlab PTV), were created for 11 patients. Results We showed that "Brainlab CTV" and "Expert CTV" mean volumes were 29.8 ± 16.1 and 28.7 ± 15.7 cm3, respectively (p = 0.23). We also showed that the mean DSC for semiautomatic contouring relative to expert manual contouring was 0.85 ± 0.08 and less than 0.80 in five cases. For metastases involving the vertebral body only (n = 13,37%), the mean DSC was 0.90 ± 0.03, and for ones involving other or several vertebral regions (n = 22.63%), the mean DSC was 0.81 ± 0.08 (p < 0.001). The comparison of dosimetric treatment plans was performed for equivalent PTV coverage. There were no differences between doses received by organs at risk (spinal cord and esophagus) for Expert and Brainlab PTVs, respectively. Conclusion The results showed that the semiautomatic method had quite good accuracy and can be used in clinical routine even for complex lesions.
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Affiliation(s)
- Maximilien Rogé
- Départment of Radiation Oncology, Centre Henri Becquerel, Rouen, France
| | - Ahmed Hadj Henni
- Départment of Radiation Oncology, Centre Henri Becquerel, Rouen, France
| | | | - Romain Mallet
- Départment of Radiation Oncology, Centre Henri Becquerel, Rouen, France
| | - Chantal Hanzen
- Départment of Radiation Oncology, Centre Henri Becquerel, Rouen, France
| | - Bernard Dubray
- Départment of Radiation Oncology, Centre Henri Becquerel, Rouen, France
- QuantIF-LITIS EA4108, University of Rouen, Rouen, France
| | - Elyse Colard
- Départment of Radiation Oncology, Centre Henri Becquerel, Rouen, France
| | - David Gensanne
- Départment of Radiation Oncology, Centre Henri Becquerel, Rouen, France
- QuantIF-LITIS EA4108, University of Rouen, Rouen, France
| | - Sébastien Thureau
- Départment of Radiation Oncology, Centre Henri Becquerel, Rouen, France
- QuantIF-LITIS EA4108, University of Rouen, Rouen, France
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Chen Y, Vinogradskiy Y, Yu Y, Shi W, Liu H. Clinical Evaluation of an Auto-Segmentation Tool for Spine SBRT Treatment. Front Oncol 2022; 12:842579. [PMID: 35359361 PMCID: PMC8963426 DOI: 10.3389/fonc.2022.842579] [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: 12/23/2021] [Accepted: 02/08/2022] [Indexed: 12/03/2022] Open
Abstract
Purpose Spine SBRT target delineation is time-consuming due to the complex bone structure. Recently, Elements SmartBrush Spine (ESS) was developed by Brainlab to automatically generate a clinical target volume (CTV) based on gross tumor volume (GTV). The aim of this project is to evaluate the accuracy and efficiency of ESS auto-segmentation. Methods Twenty spine SBRT patients with 21 target sites treated at our institution were used for this retrospective comparison study. Planning CT/MRI images and physician-drawn GTVs were inputs for ESS. ESS can automatically segment the vertebra, split the vertebra into 6 sectors, and generate a CTV based on the GTV location, according to the International Spine Radiosurgery Consortium (ISRC) Consensus guidelines. The auto-segmented CTV can be edited by including/excluding sectors of the vertebra, if necessary. The ESS-generated CTV contour was then compared to the clinically used CTV using qualitative and quantitative methods. The CTV contours were compared using visual assessment by the clinicians, relative volume differences (RVD), distance of center of mass (DCM), and three other common contour similarity measurements such as dice similarity coefficient (DICE), Hausdorff distance (HD), and 95% Hausdorff distance (HD95). Results Qualitatively, the study showed that ESS can segment vertebra more accurately and consistently than humans at normal curvature conditions. The accuracy of CTV delineation can be improved significantly if the auto-segmentation is used as the first step. Conversely, ESS may mistakenly split or join different vertebrae when large curvatures in anatomy exist. In this study, human interactions were needed in 7 of 21 cases to generate the final CTVs by including/excluding sectors of the vertebra. In 90% of cases, the RVD were within ±15%. The RVD, DCM, DICE, HD, and HD95 for the 21 cases were 3% ± 12%, 1.9 ± 1.5 mm, 0.86 ± 0.06, 13.34 ± 7.47 mm, and 4.67 ± 2.21 mm, respectively. Conclusion ESS can auto-segment a CTV quickly and accurately and has a good agreement with clinically used CTV. Inter-person variation and contouring time can be reduced with ESS. Physician editing is needed for some occasions. Our study supports the idea of using ESS as the first step for spine SBRT target delineation to improve the contouring consistency as well as to reduce the contouring time.
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Walter F, Rottler M, Nierer L, Landry G, Well J, Rogowski P, Mohnike K, Seidensticker M, Ricke J, Belka C, Corradini S. Interstitial High-Dose-Rate Brachytherapy of Liver Metastases in Oligometastatic Patients. Cancers (Basel) 2021; 13:cancers13246250. [PMID: 34944869 PMCID: PMC8699459 DOI: 10.3390/cancers13246250] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Accepted: 12/10/2021] [Indexed: 12/22/2022] Open
Abstract
Simple Summary Local ablative treatments have emerged as a promising treatment strategy for patients with oligometastatic disease. Interstitial brachytherapy (iBT) is one of the locally ablative treatment options for unresectable liver metastases in oligometastatic disease. We report the feasibility and oncologic outcome of 141 iBT treatments of 244 oligometastatic liver metastases performed in patients with limited tumor burdens in a high-volume center. iBT was feasible, safe and effective in the treatment of oligometastatic liver metastases with good local control rates and low toxicity. Histology and total tumor volume had an impact on local control rates. Abstract Local ablative treatments have emerged as a promising treatment strategy for patients with oligometastatic disease. Among others, interstitial brachytherapy (iBT) is an upcoming treatment option for unresectable liver metastases. We report the feasibility and oncologic outcome of iBT of oligometastatic liver metastases performed in patients with limited tumor burdens in a high-volume center. Patients undergoing iBT between August 2017and March 2019 were included. A retrospective analysis of patient outcomes and treatment complications was performed. Patients treated for metastatic colorectal carcinoma (CRC) were compared to other histologies. A total of 141 iBT procedures were performed in 106 patients (male:52; female:54) and 244 liver metastases. Overall, 51% (54/106) of patients had a diagnosis of metastatic CRC. The median follow-up was 9 months, and overall survival (OS) was 92.3% at 6 months and 76.3% at 12 months. Local-relapse-free survival (LRFS) was 88.4% at 6 months and 71.5% at 12 months, with a significant difference between patients with CRC (84.1% and 50.6%) versus other histologies (92.4% and 92.4%, p < 0.001). A sub-group analysis showed a significant advantage in patients with CRC receiving a minimal dose (D100) of 20 Gy to the planning target volume. Treatments of smaller total liver-tumor volumes (<18 ccm) resulted in better LRFS rates. iBT is a safe and effective treatment approach for oligometastatic liver disease. A higher treatment dose is needed for patients with CRC. Moreover, lower metastatic burdens may be favorable for LRFS. Prospective studies are needed to assess the role of iBT in the oligometastatic setting as an alternative to other local ablative treatment approaches in patients with liver metastases.
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Affiliation(s)
- Franziska Walter
- Department of Radiation Oncology, University Hospital, Ludwig Maximilian University, 81377 Munich, Germany; (F.W.); (M.R.); (L.N.); (G.L.); (J.W.); (P.R.); (C.B.)
| | - Maya Rottler
- Department of Radiation Oncology, University Hospital, Ludwig Maximilian University, 81377 Munich, Germany; (F.W.); (M.R.); (L.N.); (G.L.); (J.W.); (P.R.); (C.B.)
| | - Lukas Nierer
- Department of Radiation Oncology, University Hospital, Ludwig Maximilian University, 81377 Munich, Germany; (F.W.); (M.R.); (L.N.); (G.L.); (J.W.); (P.R.); (C.B.)
| | - Guillaume Landry
- Department of Radiation Oncology, University Hospital, Ludwig Maximilian University, 81377 Munich, Germany; (F.W.); (M.R.); (L.N.); (G.L.); (J.W.); (P.R.); (C.B.)
| | - Justus Well
- Department of Radiation Oncology, University Hospital, Ludwig Maximilian University, 81377 Munich, Germany; (F.W.); (M.R.); (L.N.); (G.L.); (J.W.); (P.R.); (C.B.)
| | - Paul Rogowski
- Department of Radiation Oncology, University Hospital, Ludwig Maximilian University, 81377 Munich, Germany; (F.W.); (M.R.); (L.N.); (G.L.); (J.W.); (P.R.); (C.B.)
| | - Konrad Mohnike
- Diagnostisch Therapeutisches Zentrum (DTZ), 10243 Berlin, Germany;
| | - Max Seidensticker
- Department of Radiology, University Hospital, Ludwig Maximilian University, 81377 Munich, Germany; (M.S.); (J.R.)
| | - Jens Ricke
- Department of Radiology, University Hospital, Ludwig Maximilian University, 81377 Munich, Germany; (M.S.); (J.R.)
| | - Claus Belka
- Department of Radiation Oncology, University Hospital, Ludwig Maximilian University, 81377 Munich, Germany; (F.W.); (M.R.); (L.N.); (G.L.); (J.W.); (P.R.); (C.B.)
| | - Stefanie Corradini
- Department of Radiation Oncology, University Hospital, Ludwig Maximilian University, 81377 Munich, Germany; (F.W.); (M.R.); (L.N.); (G.L.); (J.W.); (P.R.); (C.B.)
- Correspondence:
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Giaj-Levra N, Figlia V, Cuccia F, Mazzola R, Nicosia L, Ricchetti F, Rigo M, Attinà G, Vitale C, Sicignano G, De Simone A, Naccarato S, Ruggieri R, Alongi F. Reduction of inter-observer differences in the delineation of the target in spinal metastases SBRT using an automatic contouring dedicated system. Radiat Oncol 2021; 16:197. [PMID: 34627313 PMCID: PMC8502264 DOI: 10.1186/s13014-021-01924-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Accepted: 09/29/2021] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Approximately one third of cancer patients will develop spinal metastases, that can be associated with back pain, neurological symptoms and deterioration in performance status. Stereotactic radiosurgery (SRS) and stereotactic body radiotherapy (SBRT) have been offered in clinical practice mainly for the management of oligometastatic and oligoprogressive patients, allowing the prescription of high total dose delivered in one or few sessions to small target volumes, minimizing the dose exposure of normal tissues. Due to the high delivered doses and the proximity of critical organs at risk (OAR) such as the spinal cord, the correct definition of the treatment volume becomes even more important in SBRT treatment, thus making it necessary to standardize the method of target definition and contouring, through the adoption of specific guidelines and specific automatic contouring tools. An automatic target contouring system for spine SBRT is useful to reduce inter-observer differences in target definition. In this study, an automatic contouring tool was evaluated. METHODS Simulation CT scans and MRI data of 20 patients with spinal metastases were evaluated. To evaluate the advantage of the automatic target contouring tool (Elements SmartBrush Spine), which uses the identification of different densities within the target vertebra, we evaluated the agreement of the contours of 20 spinal target (2 cervical, 9 dorsal and 9 lumbar column), outlined by three independent observers using the automatic tool compared to the contours obtained manually, and measured by DICE similarity coefficient. RESULTS The agreement of GTV contours outlined by independent operators was superior with the use of the automatic contour tool compared to manually outlined contours (mean DICE coefficient 0.75 vs 0.57, p = 0.048). CONCLUSIONS The dedicated contouring tool allows greater precision and reduction of inter-observer differences in the delineation of the target in SBRT spines. Thus, the evaluated system could be useful in the setting of spinal SBRT to reduce uncertainties of contouring increasing the level of precision on target delivered doses.
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Affiliation(s)
- Niccolò Giaj-Levra
- Advanced Radiation Oncology Department, Sacro Cuore Don Calabria Hospital, IRCCS Ospedale Sacro Cuore Don Calabria, Via Don A.Sempreboni 5, 37124, Negrar Di Valpolicella, VR, Italy.
| | - Vanessa Figlia
- Advanced Radiation Oncology Department, Sacro Cuore Don Calabria Hospital, IRCCS Ospedale Sacro Cuore Don Calabria, Via Don A.Sempreboni 5, 37124, Negrar Di Valpolicella, VR, Italy
| | - Francesco Cuccia
- Advanced Radiation Oncology Department, Sacro Cuore Don Calabria Hospital, IRCCS Ospedale Sacro Cuore Don Calabria, Via Don A.Sempreboni 5, 37124, Negrar Di Valpolicella, VR, Italy
| | - Rosario Mazzola
- Advanced Radiation Oncology Department, Sacro Cuore Don Calabria Hospital, IRCCS Ospedale Sacro Cuore Don Calabria, Via Don A.Sempreboni 5, 37124, Negrar Di Valpolicella, VR, Italy
| | - Luca Nicosia
- Advanced Radiation Oncology Department, Sacro Cuore Don Calabria Hospital, IRCCS Ospedale Sacro Cuore Don Calabria, Via Don A.Sempreboni 5, 37124, Negrar Di Valpolicella, VR, Italy
| | - Francesco Ricchetti
- Advanced Radiation Oncology Department, Sacro Cuore Don Calabria Hospital, IRCCS Ospedale Sacro Cuore Don Calabria, Via Don A.Sempreboni 5, 37124, Negrar Di Valpolicella, VR, Italy
| | - Michele Rigo
- Advanced Radiation Oncology Department, Sacro Cuore Don Calabria Hospital, IRCCS Ospedale Sacro Cuore Don Calabria, Via Don A.Sempreboni 5, 37124, Negrar Di Valpolicella, VR, Italy
| | - Giorgio Attinà
- Advanced Radiation Oncology Department, Sacro Cuore Don Calabria Hospital, IRCCS Ospedale Sacro Cuore Don Calabria, Via Don A.Sempreboni 5, 37124, Negrar Di Valpolicella, VR, Italy
| | - Claudio Vitale
- Advanced Radiation Oncology Department, Sacro Cuore Don Calabria Hospital, IRCCS Ospedale Sacro Cuore Don Calabria, Via Don A.Sempreboni 5, 37124, Negrar Di Valpolicella, VR, Italy
| | - Gianluisa Sicignano
- Advanced Radiation Oncology Department, Sacro Cuore Don Calabria Hospital, IRCCS Ospedale Sacro Cuore Don Calabria, Via Don A.Sempreboni 5, 37124, Negrar Di Valpolicella, VR, Italy
| | - Antonio De Simone
- Advanced Radiation Oncology Department, Sacro Cuore Don Calabria Hospital, IRCCS Ospedale Sacro Cuore Don Calabria, Via Don A.Sempreboni 5, 37124, Negrar Di Valpolicella, VR, Italy
| | - Stefania Naccarato
- Advanced Radiation Oncology Department, Sacro Cuore Don Calabria Hospital, IRCCS Ospedale Sacro Cuore Don Calabria, Via Don A.Sempreboni 5, 37124, Negrar Di Valpolicella, VR, Italy
| | - Ruggero Ruggieri
- Advanced Radiation Oncology Department, Sacro Cuore Don Calabria Hospital, IRCCS Ospedale Sacro Cuore Don Calabria, Via Don A.Sempreboni 5, 37124, Negrar Di Valpolicella, VR, Italy
| | - Filippo Alongi
- Advanced Radiation Oncology Department, Sacro Cuore Don Calabria Hospital, IRCCS Ospedale Sacro Cuore Don Calabria, Via Don A.Sempreboni 5, 37124, Negrar Di Valpolicella, VR, Italy.,University of Brescia, Brescia, Italy
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11
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Piliero MA, Pupillo F, Leva S, Casiraghi M, Paulicelli E, Bellesi L, Presilla S. Plan quality and consistency in spine radiosurgery treatment planning: comparison between automatic treatment planning with Elements Spine SRS and manual inverse planning with Varian Eclipse. Med Dosim 2021; 47:43-47. [PMID: 34538692 DOI: 10.1016/j.meddos.2021.08.002] [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: 04/26/2021] [Revised: 07/02/2021] [Accepted: 08/08/2021] [Indexed: 11/27/2022]
Abstract
Spine radiosurgery treatment planning can be a challenging task since a high radiation dose is delivered to target volumes close to the spinal cord, therefore a steep dose gradient is required. Plan quality is greatly influenced by the planner skills, so automatic treatment planning has been proposed to overcome this issue and assure high-quality plans. The Brainlab Elements Spine SRS treatment planning system is specially designed for spine radiosurgery treatments. It is an automatic treatment planning system that works through predefined protocols, with minimal planner interaction required. In this work, we evaluated the plan quality and consistency among the planners within the same institution when using the Elements Spine SRS compared to manual inverse planning with the Varian Eclipse system. Six planners produced a plan for 3 sample target volumes representing different spine metastases in the thoracic region using both treatment planning systems. Dose prescription was 16 Gy in a single fraction, at more than 80% of the target volume. The most important organ at risk was the spinal canal. The dose constraint was V10 Gy < 0.35 cm3. High dose spillage outside the target volume, the homogeneity index, the Paddick conformity index and the number of monitor units were also evaluated. The mean dose to the target volumes in the Elements Spine SRS plans were consistently higher by 0.8 Gy to 1.5 Gy and the maximum dose to the target volumes were consistently higher by 1.8 Gy to 3.1 Gy. Spinal cord sparing was comparable to the Eclipse plans. However, the number of monitor units was greatly reduced, up to 2270 monitor units less. No difference was found in plan quality variability among the planners.
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Affiliation(s)
- Maria A Piliero
- Medical Physics Division, Imaging Institute of Southern Switzerland, Ente Ospedaliero Cantonale, Via Gallino 12, 6500 Bellinzona, Switzerland..
| | - Francesco Pupillo
- Medical Physics Division, Imaging Institute of Southern Switzerland, Ente Ospedaliero Cantonale, Via Gallino 12, 6500 Bellinzona, Switzerland
| | - Stefano Leva
- Radiation Oncology Clinic, Oncology Institute of Southern Switzerland, 6500 Bellinzona, Via Gallino 12, 6500 Bellinzona, Switzerland
| | - Margherita Casiraghi
- Medical Physics Division, Imaging Institute of Southern Switzerland, Ente Ospedaliero Cantonale, Via Gallino 12, 6500 Bellinzona, Switzerland
| | - Eleonora Paulicelli
- Medical Physics Division, Imaging Institute of Southern Switzerland, Ente Ospedaliero Cantonale, Via Gallino 12, 6500 Bellinzona, Switzerland
| | - Luca Bellesi
- Medical Physics Division, Imaging Institute of Southern Switzerland, Ente Ospedaliero Cantonale, Via Gallino 12, 6500 Bellinzona, Switzerland
| | - Stefano Presilla
- Medical Physics Division, Imaging Institute of Southern Switzerland, Ente Ospedaliero Cantonale, Via Gallino 12, 6500 Bellinzona, Switzerland
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12
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Lawrence LSP, Chin LCL, Chan RW, Nguyen TK, Sahgal A, Tseng CL, Lau AZ. Method of computing direction-dependent margins for the development of consensus contouring guidelines. Radiat Oncol 2021; 16:71. [PMID: 33849576 PMCID: PMC8045331 DOI: 10.1186/s13014-021-01799-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2021] [Accepted: 03/31/2021] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND Clinical target volume (CTV) contouring guidelines are frequently developed through studies in which experts contour the CTV for a representative set of cases for a given treatment site and the consensus CTVs are analyzed to generate margin recommendations. Measures of interobserver variability are used to quantify agreement between experts. In cases where an isotropic margin is not appropriate, however, there is no standard method to compute margins in specified directions that represent possible routes of tumor spread. Moreover, interobserver variability metrics are often measures of volume overlap that do not account for the dependence of disagreement on direction. To aid in the development of consensus contouring guidelines, this study demonstrates a novel method of quantifying CTV margins and interobserver variability in clinician-specified directions. METHODS The proposed algorithm was applied to 11 cases of non-spine bone metastases to compute the consensus CTV margin in each direction of intraosseous and extraosseous disease. The median over all cases for each route of spread yielded the recommended margins. The disagreement between experts on the CTV margin was quantified by computing the median of the coefficients of variation for intraosseous and extraosseous margins. RESULTS The recommended intraosseous and extraosseous margins were 7.0 mm and 8.0 mm, respectively. The median coefficient of variation quantifying the margin disagreement between experts was 0.59 and 0.48 for intraosseous and extraosseous disease. CONCLUSIONS The proposed algorithm permits the generation of margin recommendations in relation to adjacent anatomy and quantifies interobserver variability in specified directions. This method can be applied to future consensus CTV contouring studies.
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Affiliation(s)
- Liam S P Lawrence
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
| | - Lee C L Chin
- Department of Medical Physics, Odette Cancer Centre, Toronto, ON, Canada.,Department of Radiation Oncology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - Rachel W Chan
- Physical Sciences Platform, Sunnybrook Research Institute, 2075 Bayview Ave., Toronto, M4N 3M5, ON, Canada
| | - Timothy K Nguyen
- Department of Radiation Oncology, London Health Sciences Centre, Western University, London, ON, Canada
| | - Arjun Sahgal
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - Chia-Lin Tseng
- Department of Radiation Oncology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
| | - Angus Z Lau
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada. .,Physical Sciences Platform, Sunnybrook Research Institute, 2075 Bayview Ave., Toronto, M4N 3M5, ON, Canada.
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13
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Corradini S, Niyazi M, Verellen D, Valentini V, Walsh S, Grosu AL, Lauber K, Giaccia A, Unger K, Debus J, Pieters BR, Guckenberger M, Senan S, Budach W, Rad R, Mayerle J, Belka C. X-change symposium: status and future of modern radiation oncology-from technology to biology. Radiat Oncol 2021; 16:27. [PMID: 33541387 PMCID: PMC7863262 DOI: 10.1186/s13014-021-01758-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Accepted: 01/28/2021] [Indexed: 02/06/2023] Open
Abstract
Future radiation oncology encompasses a broad spectrum of topics ranging from modern clinical trial design to treatment and imaging technology and biology. In more detail, the application of hybrid MRI devices in modern image-guided radiotherapy; the emerging field of radiomics; the role of molecular imaging using positron emission tomography and its integration into clinical routine; radiation biology with its future perspectives, the role of molecular signatures in prognostic modelling; as well as special treatment modalities such as brachytherapy or proton beam therapy are areas of rapid development. More clinically, radiation oncology will certainly find an important role in the management of oligometastasis. The treatment spectrum will also be widened by the rational integration of modern systemic targeted or immune therapies into multimodal treatment strategies. All these developments will require a concise rethinking of clinical trial design. This article reviews the current status and the potential developments in the field of radiation oncology as discussed by a panel of European and international experts sharing their vision during the "X-Change" symposium, held in July 2019 in Munich (Germany).
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Affiliation(s)
- Stefanie Corradini
- Department of Radiation Oncology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
| | - Maximilian Niyazi
- Department of Radiation Oncology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany
| | - Dirk Verellen
- Department of Radiotherapy, Iridium Network, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| | - Vincenzo Valentini
- Department of Radiation Oncology and Hematology, Fondazione Policlinico Universitario A.Gemelli IRCCS, Università Cattolica S. Cuore, Rome, Italy
| | | | - Anca-L Grosu
- Department of Radiation Oncology, Medical Center, Medical Faculty, University of Freiburg, Freiburg, Germany
- German Cancer Consortium (DKTK), Partner Site Freiburg, Freiburg, Germany
| | - Kirsten Lauber
- Department of Radiation Oncology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany
| | - Amato Giaccia
- Division of Radiation and Cancer Biology, Department of Radiation Oncology, Stanford University, Stanford, USA
| | - Kristian Unger
- Integrative Biology Group, Helmholtz Zentrum Munich, Munich, Germany
| | - Jürgen Debus
- Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany
| | - Bradley R Pieters
- Department of Radiation Oncology, Amsterdam University Medical Centers, Location Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Matthias Guckenberger
- Department of Radiation Oncology, University Hospital of Zurich, University of Zurich, Zurich, Switzerland
| | - Suresh Senan
- Department of Radiation Oncology, Amsterdam University Medical Centers, Location VUmc, Amsterdam, The Netherlands
| | - Wilfried Budach
- Department of Radiation Oncology, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany
| | - Roland Rad
- Center for Translational Cancer Research (TranslaTUM), TU Munich, Munich, Germany
| | - Julia Mayerle
- Department of Internal Medicine II, University Hospital, LMU, Munich, Germany
| | - Claus Belka
- Department of Radiation Oncology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany
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14
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Gong Y, Zhuang H, Chong S, Shi Q, Wei F, Liu Z, Ouyang H, Liu X, Jiang L. Delayed postoperative radiotherapy increases the incidence of radiographic local tumor progression before radiotherapy and leads to poor prognosis in spinal metastases. Radiat Oncol 2021; 16:21. [PMID: 33482844 PMCID: PMC7825226 DOI: 10.1186/s13014-020-01740-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2020] [Accepted: 12/26/2020] [Indexed: 12/28/2022] Open
Abstract
Background Most previous studies focused on the minimum interval between surgery and radiotherapy in spinal metastases, leaving the maximum interval under-investigated. However, in real world, limited radiotherapist and equipment cannot meet the needs of a large patient population to obtain timely radiotherapy after the index spine surgery in developing countries. This study aimed to estimate the clinical risks of delayed radiotherapy after surgery in patients with spinal metastases in developing country. Methods Data from 89 patients who underwent surgery and postoperative radiotherapy at a single site in a developing country were retrospectively reviewed. Patients were divided into the progression before radiotherapy (PBR) and no progression before radiotherapy (NPBR) groups. Kaplan–Meier analysis and log-rank tests were used to compare the local control (LC) and overall survival (OS) between groups. Results Within 1 month after surgery, only 20.2% of patients underwent radiotherapy. Risk of local progression before radiotherapy at 1, 3, and 6 months was 1.2%, 24.1%, and 45.1%, respectively. The LC rate at 1 year was lower in the PBR group than in the NPBR group (53.3% vs. 76.3%, P = 0.040). The OS rate at 1 year was 61.9% and 79.6% in the PBR and NPBR groups, respectively (P = 0.001). The Karnofsky performance status significantly improved only in the NPBR group (52.5 ± 17.6 vs. 66.8 ± 26.3, P < 0.001). The sphincter dysfunction significantly improved in the NPBR group (0.3 ± 0.5 vs. 0.1 ± 0.3, P = 0.007) but it tended to be deteriorated in the PBR group (0.1 ± 0.4 vs. 0.3 ± 0.5, P = 0.500). Conclusions In real world, about 80% of patients had delayed radiotherapy 1 month after spine surgery for metastases in our developing country. Patients had a higher risk for radiographic local progression before radiotherapy and poorer LC, OS, and quality of life as time to radiotherapy increased.
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Affiliation(s)
- Yining Gong
- Department of Orthopedics, Peking University Third Hospital, 49 North Garden Road, Haidian District, Beijing, 100191, China.,Health Science Center, Peking University, Beijing, China
| | - Hongqing Zhuang
- Department of Radiation Oncology, Peking University Third Hospital, Beijing, China
| | - Shan Chong
- Health Science Center, Peking University, Beijing, China
| | - Qianyu Shi
- Health Science Center, Peking University, Beijing, China
| | - Feng Wei
- Department of Orthopedics, Peking University Third Hospital, 49 North Garden Road, Haidian District, Beijing, 100191, China
| | - Zhongjun Liu
- Department of Orthopedics, Peking University Third Hospital, 49 North Garden Road, Haidian District, Beijing, 100191, China
| | - Hanqiang Ouyang
- Department of Orthopedics, Peking University Third Hospital, 49 North Garden Road, Haidian District, Beijing, 100191, China
| | - Xiaoguang Liu
- Department of Orthopedics, Peking University Third Hospital, 49 North Garden Road, Haidian District, Beijing, 100191, China. .,The Institute of Traumatology and Orthopaedics, Beijing Jishuitan Hospital, Beijing, China.
| | - Liang Jiang
- Department of Orthopedics, Peking University Third Hospital, 49 North Garden Road, Haidian District, Beijing, 100191, China.
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15
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Billiet C, Joye I, Mercier C, Depuydt L, De Kerf G, Vermeulen P, Van Laere S, Van de Kelft E, Meijnders P, Verellen D, Dirix P. Outcome and toxicity of hypofractionated image-guided SABR for spinal oligometastases. Clin Transl Radiat Oncol 2020; 24:65-70. [PMID: 32642561 PMCID: PMC7334439 DOI: 10.1016/j.ctro.2020.06.011] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2020] [Revised: 05/03/2020] [Accepted: 06/21/2020] [Indexed: 12/31/2022] Open
Abstract
Hypofractionated stereotactic ablative radiotherapy (SABR) in patients with spinal oligometastases. High rates of efficacy and minimal toxicity. Oligometastatic patients with metachronous spinal metastases seem to benefit the most.
Background To investigate progression free survival (PFS), local control (LC) and overall survival (OS) outcomes for patients treated with spine hypofractionated stereotactic ablative radiotherapy (SABR) and to evaluate possible predictors of rapid progression in view of a correct patient selection for this potentially curative SABR. Materials and methods A cohort of 59 patients with spinal metastases were treated with SABR. Patient selection criteria were the following: histologically proven diagnosis of a solid tumor, a World Health Organization (WHO) score ≤ 2, life expectancy > 6 months, Spinal Instability Neoplastic Score (SINS) ≤ 12 points and presenting with radically treated oligometastatic disease (≤5 lesions) or stable polymetastatic disease with an oligoprogressive lesion. Results From March 2015 to June 2019, 59 patients were treated with Linac-based SABR to 64 spinal metastases with a median follow-up of 55 months. SABR was standard delivered every other day in 3 to 10 fractions with median prescription dose of 27 Gy (range 21–49 Gy). The 1-,2- and 5-year PFS was 98%, 85% and 75% for all patients. OS at 5 years for all patients was 92%. Metachronous lesions (p < 0.01; HR = 7.1) and oligometastatic (vs. oligoprogressive) lesions (p = 0.02; HR = 0.3) were associated with higher PFS in uni- and multivariate Cox regression analysis. No significant predictors in multivariate analysis were demonstrated for rapid progressors. Vertebral compression fractures developed de novo in 6.3% (4/64) of cases. The median time to fracture was 11 months (range 7–15) after treatment. No other adverse events ≥ 3 grade were observed. Conclusions Tumor control and toxicity after high-dose hypofractionated SABR was evaluated in patients with spinal oligometastases. High rates of efficacy and minimal toxicity were demonstrated. Oligometastatic patients with metachronous spinal metastases seem to benefit the most from SABR.
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Affiliation(s)
- Charlotte Billiet
- Department of Radiation Oncology, Iridium Kankernetwerk, Wilrijk (Antwerp), Belgium.,University of Antwerp, Faculty of Medicine and Health Sciences, Campus Drie Eiken, Building S, Universiteitsplein 1, 2610 Wilrijk-Antwerp, Belgium
| | - Ines Joye
- Department of Radiation Oncology, Iridium Kankernetwerk, Wilrijk (Antwerp), Belgium.,University of Antwerp, Faculty of Medicine and Health Sciences, Campus Drie Eiken, Building S, Universiteitsplein 1, 2610 Wilrijk-Antwerp, Belgium
| | - Carole Mercier
- Department of Radiation Oncology, Iridium Kankernetwerk, Wilrijk (Antwerp), Belgium.,University of Antwerp, Faculty of Medicine and Health Sciences, Campus Drie Eiken, Building S, Universiteitsplein 1, 2610 Wilrijk-Antwerp, Belgium
| | - Lieselotte Depuydt
- Department of Radiation Oncology, Iridium Kankernetwerk, Wilrijk (Antwerp), Belgium
| | - Geert De Kerf
- Department of Radiation Oncology, Iridium Kankernetwerk, Wilrijk (Antwerp), Belgium
| | - Peter Vermeulen
- University of Antwerp, Faculty of Medicine and Health Sciences, Campus Drie Eiken, Building S, Universiteitsplein 1, 2610 Wilrijk-Antwerp, Belgium.,Oncologisch Centrum GZA, Translation Cancer Research Unit, Antwerp, Belgium
| | - Steven Van Laere
- University of Antwerp, Faculty of Medicine and Health Sciences, Campus Drie Eiken, Building S, Universiteitsplein 1, 2610 Wilrijk-Antwerp, Belgium.,Oncologisch Centrum GZA, Translation Cancer Research Unit, Antwerp, Belgium
| | - Erik Van de Kelft
- Department of Neurosurgery, Gen Hospital Nikolaas, Sint-Niklaas, Belgium.,University of Antwerp, Faculty of Medicine and Health Sciences, Campus Drie Eiken, Building S, Universiteitsplein 1, 2610 Wilrijk-Antwerp, Belgium
| | - Paul Meijnders
- Department of Radiation Oncology, Iridium Kankernetwerk, Wilrijk (Antwerp), Belgium.,University of Antwerp, Faculty of Medicine and Health Sciences, Campus Drie Eiken, Building S, Universiteitsplein 1, 2610 Wilrijk-Antwerp, Belgium
| | - Dirk Verellen
- Department of Radiation Oncology, Iridium Kankernetwerk, Wilrijk (Antwerp), Belgium.,University of Antwerp, Faculty of Medicine and Health Sciences, Campus Drie Eiken, Building S, Universiteitsplein 1, 2610 Wilrijk-Antwerp, Belgium
| | - Piet Dirix
- Department of Radiation Oncology, Iridium Kankernetwerk, Wilrijk (Antwerp), Belgium.,University of Antwerp, Faculty of Medicine and Health Sciences, Campus Drie Eiken, Building S, Universiteitsplein 1, 2610 Wilrijk-Antwerp, Belgium
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16
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Zhuang H, Zhuang H, Lang N, Liu J. Precision Stereotactic Radiotherapy for Spinal Tumors: Mechanism, Efficacy, and Issues. Front Oncol 2020; 10:826. [PMID: 32528894 PMCID: PMC7256655 DOI: 10.3389/fonc.2020.00826] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2020] [Accepted: 04/28/2020] [Indexed: 02/06/2023] Open
Abstract
Stereotactic ablative radiotherapy (SABR/SBRT) is a revolutionary technique for tumor therapy. Its advantages are especially beneficial for the treatment spinal tumors. It has a wide range of indications in radiotherapy alone and in preoperative and postoperative treatments for spinal tumor. The mechanism of stereotactic radiotherapy for spinal tumors is special, and completely different from traditional radiotherapy. Compared with traditional radiotherapy, SBRT creates more DNA double-strand breaks, leads to less DNA damage repair, and also has anti-vascular effects, in situ vaccine effects and abscopal effect. In the present study, the literature regarding SABR for the treatment of spinal tumors is summarized, and we reviewed characteristics of SABR and spinal tumors, as well as the clinical efficacy and toxicity of SABR in treating spinal tumors. In addition, we proposed several issues around the SABR treatment of spinal tumor, the standard of treatment dose, and the post-treatment follow-up. We also made predictions with respect to future management of spinal tumors, SABR development, multi-modality integration between SABR and other treatments, and other future development trends, thereby providing future research directions as a contribution to the field.
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Affiliation(s)
- Hongqing Zhuang
- Department of Radiation Oncology, Peking University Third Hospital, Beijing, China
| | - Hongxia Zhuang
- Department of Hematology, Weifang People's Hospital, Weifang, China
| | - Ning Lang
- Department of Radiology, Peking University Third Hospital, Beijing, China
| | - Jiandong Liu
- Orthopedic Department, No. 971 Hospital of Navy, Qingdao, China
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