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Cook EL, Su KH, Higgins GS, Johnsen R, Bouhnik JP, McGowan DR. Data-driven gating (DDG)-based motion match for improved CTAC registration. EJNMMI Phys 2024; 11:42. [PMID: 38691232 DOI: 10.1186/s40658-024-00644-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Accepted: 04/24/2024] [Indexed: 05/03/2024] Open
Abstract
BACKGROUND Respiratory motion artefacts are a pitfall in thoracic PET/CT imaging. A source of these motion artefacts within PET images is the CT used for attenuation correction of the images. The arbitrary respiratory phase in which the helical CT ( CT helical ) is acquired often causes misregistration between PET and CT images, leading to inaccurate attenuation correction of the PET image. As a result, errors in tumour delineation or lesion uptake values can occur. To minimise the effect of motion in PET/CT imaging, a data-driven gating (DDG)-based motion match (MM) algorithm has been developed that estimates the phase of the CT helical , and subsequently warps this CT to a given phase of the respiratory cycle, allowing it to be phase-matched to the PET. A set of data was used which had four-dimensional CT (4DCT) acquired alongside PET/CT. The 4DCT allowed ground truth CT phases to be generated and compared to the algorithm-generated motion match CT (MMCT). Measurements of liver and lesion margin positions were taken across CT images to determine any differences and establish how well the algorithm performed concerning warping the CT helical to a given phase (end-of-expiration, EE). RESULTS Whilst there was a minor significance in the liver measurement between the 4DCT and MMCT ( p = 0.045 ), no significant differences were found between the 4DCT or MMCT for lesion measurements ( p = 1.0 ). In all instances, the CT helical was found to be significantly different from the 4DCT ( p < 0.001 ). Consequently, the 4DCT and MMCT can be considered equivalent with respect to warped CT generation, showing the DDG-based MM algorithm to be successful. CONCLUSION The MM algorithm successfully enables the phase-matching of a CT helical to the EE of a ground truth 4DCT. This would reduce the motion artefacts caused by PET/CT registration without requiring additional patient dose (required for a 4DCT).
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Affiliation(s)
- Ella L Cook
- Department of Oncology, University of Oxford, Oxford, UK
| | | | | | | | | | - Daniel R McGowan
- Department of Oncology, University of Oxford, Oxford, UK.
- Department of Medical Physics and Clinical Engineering, Oxford University Hospitals Foundation Trust, Oxford, UK.
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2
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Parisi S, Ferini G, Lillo S, Brogna A, Chillari F, Ferrantelli G, Settineri N, Santacaterina A, Platania A, Leotta S, Casablanca G, Russo A, Pontoriero A, Adamo V, Minutoli F, Bottari A, Cacciola A, Pergolizzi S. Stereotactic boost on residual disease after external-beam irradiation in clinical stage III non-small cell lung cancer: mature results of stereotactic body radiation therapy post radiation therapy (SBRTpostRT) study. LA RADIOLOGIA MEDICA 2023:10.1007/s11547-023-01659-w. [PMID: 37294366 DOI: 10.1007/s11547-023-01659-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Accepted: 05/25/2023] [Indexed: 06/10/2023]
Abstract
PURPOSE To evaluate the role of stereotactic body radiation therapy (SBRT) delivered after external-beam fractionated irradiation in non-small-cell lung cancer (NSCLC) patients with clinical stage III A, B. MATERIALS AND METHODS All patients received three-dimensional conformal radiotherapy (3D-CRT) or intensity modulated radiation therapy (IMRT) (60-66 Gy/30-33 fractions of 2 Gy/5 days a week) with or without concomitant chemotherapy. Within 60 days from the end of irradiation, a SBRT boost (12-22 Gy in 1-3 fractions) was delivered on the residual disease. RESULTS Here we report the mature results of 23 patients homogeneously treated and followed up for a median time of 5.35 years (range 4.16-10.16). The rate of overall clinical response after external beam and stereotactic boost was 100%. No treatment-related mortality was recorded. Radiation-related acute toxicities with a grade ≥ 2 were observed in 6/23 patients (26.1%): 4/23 (17.4%) had esophagitis with mild esophageal pain (G2); in 2/23 (8.7%) clinical radiation pneumonitis G2 was observed. Lung fibrosis (20/23 patients, 86.95%) represented a typical late tissue damage, which was symptomatic in one patient. Median disease-free survival (DFS) and overall survival (OS) were 27.8 (95% CI, 4.2-51.3) and 56.7 months (95% CI, 34.9-78.5), respectively. Median local progression-free survival (PFS) was 17 months (range 11.6-22.4), with a median distant PFS of 18 months (range 9.6-26.4). The 5-year actuarial DFS and OS rates were 28.7% and 35.2%, respectively. CONCLUSIONS We confirm that a stereotactic boost after radical irradiation is feasible in stage III NSCLC patients. All fit patients who have no indication to adjuvant immunotherapy and presenting residual disease after curative irradiation could benefit from stereotactic boost because outcomes seem to be better than might be historically assumed.
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Affiliation(s)
- Silvana Parisi
- Radiation Oncology Unit, Department of Biomedical, Dental Science and Morphological and Functional Images, University of Messina, Messina, Italy
| | - Gianluca Ferini
- REM Radioterapia Srl, Istituto Oncologico del Mediterraneo, Viagrande, Catania, Italy
| | - Sara Lillo
- Radiation Oncology Unit, Department of Biomedical, Dental Science and Morphological and Functional Images, University of Messina, Messina, Italy.
- Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University, Beijing, China.
| | - Anna Brogna
- Medical Physics Unit, A.O.U. "G. Martino", Messina, Italy
| | - Federico Chillari
- Radiation Oncology Unit, Department of Biomedical, Dental Science and Morphological and Functional Images, University of Messina, Messina, Italy
| | - Giacomo Ferrantelli
- Radiation Oncology Unit, Department of Biomedical, Dental Science and Morphological and Functional Images, University of Messina, Messina, Italy
| | | | | | | | | | | | | | - Antonio Pontoriero
- Radiation Oncology Unit, Department of Biomedical, Dental Science and Morphological and Functional Images, University of Messina, Messina, Italy
| | | | - Fabio Minutoli
- Radiation Oncology Unit, Department of Biomedical, Dental Science and Morphological and Functional Images, University of Messina, Messina, Italy
| | - Antonio Bottari
- Radiation Oncology Unit, Department of Biomedical, Dental Science and Morphological and Functional Images, University of Messina, Messina, Italy
| | - Alberto Cacciola
- Radiation Oncology Unit, Department of Biomedical, Dental Science and Morphological and Functional Images, University of Messina, Messina, Italy
| | - Stefano Pergolizzi
- Radiation Oncology Unit, Department of Biomedical, Dental Science and Morphological and Functional Images, University of Messina, Messina, Italy
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3
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Martinez-Movilla A, Mix M, Torres-Espallardo I, Teijeiro E, Bello P, Baltas D, Martí-Bonmatí L, Carles M. Comparison of protocols with respiratory-gated (4D) motion compensation in PET/CT: open-source package for quantification of phantom image quality. EJNMMI Phys 2022; 9:80. [PMID: 36394640 PMCID: PMC9672236 DOI: 10.1186/s40658-022-00509-4] [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: 03/17/2022] [Accepted: 10/31/2022] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Patient's breathing affects the quality of chest images acquired with positron emission tomography/computed tomography (PET/CT) studies. Movement correction is required to optimize PET quantification in clinical settings. We present a reproducible methodology to compare the impact of different movement compensation protocols on PET image quality. Static phantom images were set as reference values, and recovery coefficients (RCs) were calculated from motion compensated images for the phantoms in respiratory movement. Image quality was evaluated in terms of: (1) volume accuracy (VA) with the NEMA phantom; (2) concentration accuracy (CA) by six refillable inserts within the electron density CIRS phantom; and (3) spatial resolution (R) with the Jaszczak phantom. Three different respiratory patterns were applied to the phantoms. We developed an open-source package to automatically analyze VA, CA and R. We compared 10 different movement compensation protocols available in the Philips Gemini TF-64 PET/CT (4-, 6-, 8- and 10-time bins, 20%-, 30%-, 40%-window width in Inhale and Exhale). RESULTS The homemade package provided RC values for VA, CA and R of 102 PET images in less than 5 min. Results of the comparison of the 10 different protocols demonstrated the feasibility of the proposed method for quantifying the variations observed qualitatively. Overall, prospective protocols showed better motion compensation than retrospective. The best performance was obtained for the protocol Exhale 30% (0.3 s after maximum Exhale position and window width of 30%) with RC[Formula: see text], RC[Formula: see text] and RC[Formula: see text]. Among retrospective protocols, 8 Phase protocol showed the best performance. CONCLUSION We provided an open-source package able to automatically evaluate the impact of motion compensation methods on PET image quality. A setup based on commonly available experimental phantoms is recommended. Its application for the comparison of 10 time-based approaches showed that Exhale 30% protocol had the best performance. The proposed framework is not specific to the phantoms and protocols presented on this study.
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Affiliation(s)
- Andrea Martinez-Movilla
- Biomedical Imaging Research Group (GIBI230-PREBI) and Imaging La Fe node at Distributed Network for Biomedical Imaging (ReDIB), Unique Scientific and Technical Infrastructures (ICTS), La Fe Health Research Institute, Valencia, Spain
| | - Michael Mix
- Department of Nuclear Medicine, University Medical Center Freiburg, Faculty of Medicine, 79106, Freiburg, Germany
| | - Irene Torres-Espallardo
- Department of Nuclear Medicine, Medical Imaging Clinical Area, La Fe University and Polytechnic Hospital, 46026, Valencia, Spain
| | - Elena Teijeiro
- Department of Nuclear Medicine, Medical Imaging Clinical Area, La Fe University and Polytechnic Hospital, 46026, Valencia, Spain
| | - Pilar Bello
- Department of Nuclear Medicine, Medical Imaging Clinical Area, La Fe University and Polytechnic Hospital, 46026, Valencia, Spain
| | - Dimos Baltas
- Department of Radiation Oncology, Division of Medical Physics, University Medical Center Freiburg, Faculty of Medicine, 79106, Freiburg, Germany.,German Cancer Consortium (DKTK), Partner Site Freiburg, Germany
| | - Luis Martí-Bonmatí
- Biomedical Imaging Research Group (GIBI230-PREBI) and Imaging La Fe node at Distributed Network for Biomedical Imaging (ReDIB), Unique Scientific and Technical Infrastructures (ICTS), La Fe Health Research Institute, Valencia, Spain
| | - Montserrat Carles
- Biomedical Imaging Research Group (GIBI230-PREBI) and Imaging La Fe node at Distributed Network for Biomedical Imaging (ReDIB), Unique Scientific and Technical Infrastructures (ICTS), La Fe Health Research Institute, Valencia, Spain.
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Parisi S, Lillo S, Cacciola A, Ferini G, Valenti V, Viola A, Santacaterina A, Platania A, Brogna A, Tamburella C, Pergolizzi S. Non-stereotactic radiotherapy in older cancer patients. Heliyon 2022; 8:e09593. [PMID: 35706953 PMCID: PMC9189877 DOI: 10.1016/j.heliyon.2022.e09593] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Revised: 01/19/2022] [Accepted: 05/25/2022] [Indexed: 11/28/2022] Open
Abstract
Old or very old oncological patients represent a heterogeneous and frail population due to concomitant comorbidities. Whether radiotherapy alone or in combination with novel cancer drugs may provide a clear benefit in this setting of patients is still a matter of debate. The aim of our review is to analyze the evaluation process and the different therapeutic possibilities in older cancer patients, focusing on the different and most disparate applications of radiotherapy. We reviewed the most recent literature on radiotherapy in older patients providing clinical evidence of treatment related toxicity, tolerance and outcomes using standard fractionated and/or hypofractionated irradiation alone or in combination with chemotherapy, targeted and immunotherapy. In older cancer patients unfit for systemic therapy or surgery, radiotherapy represents a valid therapeutic approach, both with curative and palliative intents, ensuring excellent patient compliance in terms of local toxicity and adherence to therapy.
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Affiliation(s)
- Silvana Parisi
- Radiation Oncology Unit - Department of Biomedical, Dental Science and Morphological and Functional Images, University of Messina, Messina, Italy
| | - Sara Lillo
- Radiation Oncology Unit - Department of Biomedical, Dental Science and Morphological and Functional Images, University of Messina, Messina, Italy
| | - Alberto Cacciola
- Radiation Oncology Unit - Department of Biomedical, Dental Science and Morphological and Functional Images, University of Messina, Messina, Italy
| | - Gianluca Ferini
- Radiation Oncology Unit - REM Radioterapia, Viagrande, Italy
| | - Vito Valenti
- Radiation Oncology Unit - REM Radioterapia, Viagrande, Italy
| | - Anna Viola
- Radiation Oncology Unit - REM Radioterapia, Viagrande, Italy
| | | | | | - Anna Brogna
- Medical Physics Unit, A.O.U. "G. Martino", Messina, Italy
| | - Consuelo Tamburella
- Radiation Oncology Unit - Department of Biomedical, Dental Science and Morphological and Functional Images, University of Messina, Messina, Italy
| | - Stefano Pergolizzi
- Radiation Oncology Unit - Department of Biomedical, Dental Science and Morphological and Functional Images, University of Messina, Messina, Italy
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5
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Grootjans W, Rietbergen DDD, van Velden FHP. Added Value of Respiratory Gating in Positron Emission Tomography for the Clinical Management of Lung Cancer Patients. Semin Nucl Med 2022; 52:745-758. [DOI: 10.1053/j.semnuclmed.2022.04.006] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Accepted: 04/21/2022] [Indexed: 12/24/2022]
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6
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Imaging Characteristics and Prognostic Value of Isolated Pulmonary Metastasis from Colorectal Cancer Demonstrated with18F-FDG PET/CT. BIOMED RESEARCH INTERNATIONAL 2022; 2022:2230079. [PMID: 35463990 PMCID: PMC9023141 DOI: 10.1155/2022/2230079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Accepted: 03/31/2022] [Indexed: 12/24/2022]
Abstract
Objective. Solitary pulmonary lesions (SPNs) in patients with a history of colorectal cancer (CRC) may be attributed to metastatic lung tumors, primary lung cancer, or benign nodules. We aimed to analyze the imaging characteristics of SPNs in CRC patients to differentiate these pulmonary nodules and evaluate the prognostic value of isolated pulmonary metastasis from CRC using 18F-FDG PET/CT. Methods. From January 2013 to January 2021, 62 CRC patients with SPNs demonstrated with 18F-FDG PET/CT were retrospectively enrolled in the present study. We compared the radiological and clinical characteristics of these patients. In addition, survival time and prognostic factors were statistically analyzed using the Kaplan-Meier method and multivariable Cox proportional hazards models. Results. There were 33 cases of isolated lung metastasis, 20 cases of second primary lung cancer (SPLC), and nine cases of benign nodules. The proportion of nodules with a maximal diameter greater than the median value was lower in the isolated lung metastasis group compared with the SPLC group (
), showing polygonal shape, ill-defined margin, pleural indentation, air bronchogram, speculation, and ground-glass opacity. Patients with isolated lung metastasis had a significantly higher maximal diameter of lung lesion, SUVmax of lung lesion, and 18F-FDG uptake compared with the benign nodule group (
). Multivariate analysis revealed that the following two factors were significant independent predictors of PLC: air bronchogram (hazard ratio [HR] =22.327; 95% confidence interval [CI]: 1.910-261.061;
) and spiculation (HR =6.148; 95% CI 1.469-25.725;
). Initial TNM stage IV (HR =19.831, 95% CI 1.061-370.782;
) was extremely associated with a decreased lifespan of CRC patients with isolated lung metastasis. Conclusions. The result showed that CT features, including air bronchogram and spiculated margins, could be used to differentiate SPLC from single isolated lung metastasis in CRC patients. In patients with isolated lung metastasis, primary CRC TNM stage IV was associated with a poorer prognosis, and patients with such conditions might need more care.
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7
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Pakela JM, Knopf A, Dong L, Rucinski A, Zou W. Management of Motion and Anatomical Variations in Charged Particle Therapy: Past, Present, and Into the Future. Front Oncol 2022; 12:806153. [PMID: 35356213 PMCID: PMC8959592 DOI: 10.3389/fonc.2022.806153] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2021] [Accepted: 02/04/2022] [Indexed: 12/14/2022] Open
Abstract
The major aim of radiation therapy is to provide curative or palliative treatment to cancerous malignancies while minimizing damage to healthy tissues. Charged particle radiotherapy utilizing carbon ions or protons is uniquely suited for this task due to its ability to achieve highly conformal dose distributions around the tumor volume. For these treatment modalities, uncertainties in the localization of patient anatomy due to inter- and intra-fractional motion present a heightened risk of undesired dose delivery. A diverse range of mitigation strategies have been developed and clinically implemented in various disease sites to monitor and correct for patient motion, but much work remains. This review provides an overview of current clinical practices for inter and intra-fractional motion management in charged particle therapy, including motion control, current imaging and motion tracking modalities, as well as treatment planning and delivery techniques. We also cover progress to date on emerging technologies including particle-based radiography imaging, novel treatment delivery methods such as tumor tracking and FLASH, and artificial intelligence and discuss their potential impact towards improving or increasing the challenge of motion mitigation in charged particle therapy.
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Affiliation(s)
- Julia M Pakela
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA, United States
| | - Antje Knopf
- Department of Radiation Oncology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands.,Department I of Internal Medicine, Center for Integrated Oncology Cologne, University Hospital of Cologne, Cologne, Germany
| | - Lei Dong
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA, United States
| | - Antoni Rucinski
- Institute of Nuclear Physics, Polish Academy of Sciences, Krakow, Poland
| | - Wei Zou
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA, United States
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8
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Cheung AHY, Wu VWC, Cheung ALY, Cai J. Respiratory 4D-Gating F-18 FDG PET/CT Scan for Liver Malignancies: Feasibility in Liver Cancer Patient and Tumor Quantitative Analysis. Front Oncol 2022; 12:789506. [PMID: 35223472 PMCID: PMC8864173 DOI: 10.3389/fonc.2022.789506] [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: 10/05/2021] [Accepted: 01/12/2022] [Indexed: 11/18/2022] Open
Abstract
Purpose To evaluate the potential clinical role and effectiveness of respiratory 4D-gating F-18 FDG PET/CT scan for liver malignancies, relative to routine (3D) F-18 FDG PET/CT scan. Materials and Methods This study presented a prospective clinical study of 16 patients who received F-18 FDG PET/CT scan for known or suspected malignant liver lesions. Ethics approvals were obtained from the ethics committees of the Hong Kong Baptist Hospital and The Hong Kong Polytechnic University. Liver lesions were compared between the gated and ungated image sets, in terms of 1) volume measurement of PET image, 2) accuracy of maximum standardized uptake value (SUVmax), mean standardized uptake value (SUVmean), and 3) accuracy of total lesion glycoses (TLG). Statistical analysis was performed by using a two-tailed paired Student t-test and Pearson correlation test. Results The study population consisted of 16 patients (9 males and 7 females; mean age of 65) with a total number of 89 lesions. The SUVmax and SUVmean measurement of the gated PET images was more accurate than that of the ungated PET images, compared to the static reference images. An average of 21.48% (p < 0.001) reduction of the tumor volume was also observed. The SUVmax and SUVmean of the gated PET images were improved by 19.81% (p < 0.001) and 25.53% (p < 0.001), compared to the ungated PET images. Conclusions We have demonstrated the feasibility of implementing 4D PET/CT scan for liver malignancies in a prospective clinical study. The 4D PET/CT scan for liver malignancies could improve the quality of PET image by improving the SUV accuracy of the lesions and reducing image blurring. The improved accuracy in the classification and identification of liver tumors with 4D PET image would potentially lead to its increased utilization in target delineation of GTV, ITV, and PTV for liver radiotherapy treatment planning in the future.
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Affiliation(s)
- Anson H Y Cheung
- Department of Health Technology & Informatics, The Hong Kong Polytechnic University, Hong Kong, Hong Kong SAR, China.,Radiotherapy and Oncology Department, Hong Kong Baptist Hospital, Hong Kong, Hong Kong SAR, China
| | - Vincent W C Wu
- Department of Health Technology & Informatics, The Hong Kong Polytechnic University, Hong Kong, Hong Kong SAR, China
| | - Andy L Y Cheung
- Department of Health Technology & Informatics, The Hong Kong Polytechnic University, Hong Kong, Hong Kong SAR, China.,Department of Clinical Oncology, Queen Mary Hospital, Hong Kong, Hong Kong SAR, China
| | - Jing Cai
- Department of Health Technology & Informatics, The Hong Kong Polytechnic University, Hong Kong, Hong Kong SAR, China
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9
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Abstract
Background: Paraneoplastic gastroparesis is a gastrointestinal syndrome that rarely precedes a tumor diagnosis. To increase awareness of this rare clinical entity, we present a case of severe gastroparesis, which was later proven to be associated with a thymoma. Case report: A 55-year old man had the sudden onset of severe abdominal cramps and abdominal distension, early satiety with postprandial nausea, acid regurgitation, belching, and flatulence. He lost about 20 pounds. The physical and imaging examination revealed stomach distension, gastroparesis, and the presence of a solid mass in the anterior mediastinum. Radical surgery was performed to remove the thymoma and, given the high value of Mib-1, the patient was submitted to postoperative chest radiation therapy. After thymectomy, a diagnosis of paraneoplastic myasthenia gravis with subacute autonomic failure was made. Conclusion: Autoimmune gastroparesis should be considered as a potential paraneoplastic syndrome in patients with thymoma, myasthenia gravis, and delayed gastric emptying in the absence of mechanical obstruction.
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10
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Vaz SC, Adam JA, Bolton RCD, Vera P, van Elmpt W, Herrmann K, Hicks RJ, Lievens Y, Santos A, Schöder H, Dubray B, Visvikis D, Troost EGC, de Geus-Oei LF. Joint EANM/SNMMI/ESTRO practice recommendations for the use of 2-[ 18F]FDG PET/CT external beam radiation treatment planning in lung cancer V1.0. Eur J Nucl Med Mol Imaging 2022; 49:1386-1406. [PMID: 35022844 PMCID: PMC8921015 DOI: 10.1007/s00259-021-05624-5] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Accepted: 11/15/2021] [Indexed: 12/16/2022]
Abstract
Purpose 2-[18F]FDG
PET/CT is of utmost importance for radiation treatment (RT) planning and response monitoring in lung cancer patients, in both non-small and small cell lung cancer (NSCLC and SCLC). This topic has been addressed in guidelines composed by experts within the field of radiation oncology. However, up to present, there is no procedural guideline on this subject, with involvement of the nuclear medicine societies. Methods A literature review was performed, followed by a discussion between a multidisciplinary team of experts in the different fields involved in the RT planning of lung cancer, in order to guide clinical management. The project was led by experts of the two nuclear medicine societies (EANM and SNMMI) and radiation oncology (ESTRO). Results and conclusion This guideline results from a joint and dynamic collaboration between the relevant disciplines for this topic. It provides a worldwide, state of the art, and multidisciplinary guide to 2-[18F]FDG PET/CT RT planning in NSCLC and SCLC. These practical recommendations describe applicable updates for existing clinical practices, highlight potential flaws, and provide solutions to overcome these as well. Finally, the recent developments considered for future application are also reviewed.
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Affiliation(s)
- Sofia C Vaz
- Nuclear Medicine Radiopharmacology, Champalimaud Centre for the Unkown, Champalimaud Foundation, Lisbon, Portugal.,Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Judit A Adam
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Roberto C Delgado Bolton
- Department of Diagnostic Imaging (Radiology) and Nuclear Medicine, University Hospital San Pedro and Centre for Biomedical Research of La Rioja (CIBIR), Logroño (La Rioja), Spain
| | - Pierre Vera
- Henri Becquerel Cancer Center, QuantIF-LITIS EA 4108, Université de Rouen, Rouen, France
| | - Wouter van Elmpt
- Department of Radiation Oncology (MAASTRO), GROW - School for Oncology, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Ken Herrmann
- Department of Nuclear Medicine, University of Duisburg-Essen and German Cancer Consortium (DKTK)-University Hospital Essen, Essen, Germany.
| | - Rodney J Hicks
- The Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Australia
| | - Yolande Lievens
- Radiation Oncology Department, Ghent University Hospital and Ghent University, Ghent, Belgium
| | - Andrea Santos
- Nuclear Medicine Department, CUF Descobertas Hospital, Lisbon, Portugal
| | - Heiko Schöder
- Molecular Imaging and Therapy Service, Memorial Sloan Kettering Cancer Center, New York, USA
| | - Bernard Dubray
- Department of Radiotherapy and Medical Physics, Centre Henri Becquerel, Rouen, France.,QuantIF-LITIS EA4108, University of Rouen, Rouen, France
| | | | - Esther G C Troost
- Department of Radiotherapy and Radiation Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.,OncoRay - National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany.,Helmholtz-Zentrum Dresden - Rossendorf, Institute of Radiooncology - OncoRay, Dresden, Germany.,National Center for Tumor Diseases (NCT), Partner Site Dresden, Germany: German Cancer Research Center (DKFZ), Heidelberg, Germany; Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany; Helmholtz Association / Helmholtz-Zentrum Dresden - Rossendorf (HZDR), Dresden, Germany.,German Cancer Consortium (DKTK), Partner Site Dresden, and German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Lioe-Fee de Geus-Oei
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
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11
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Driscoll B, Vines D, Shek T, Publicover J, Yeung I, Breen S, Jaffray D. 4D-CT Attenuation Correction in Respiratory-Gated PET for Hypoxia Imaging: Is It Really Beneficial? ACTA ACUST UNITED AC 2021; 6:241-249. [PMID: 32548302 PMCID: PMC7289254 DOI: 10.18383/j.tom.2019.00027] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Previous literature has shown that 4D respiratory-gated positron emission tomography (PET) is beneficial for quantitative analysis and defining targets for boosting therapy. However the case for addition of a phase-matched 4D-computed tomography (CT) for attenuation correction (AC) is less clear. We seek to validate the use of 4D-CT for AC and investigate the impact of motion correction for low signal-to-background PET imaging of hypoxia using radiotracers such as FAZA and FMISO. A new insert for the Modus Medicals' QUASAR™ Programmable Respiratory Motion Phantom was developed in which a 3D-printed sphere was placed within the "lung" compartment while an additional compartment is added to simulate muscle/blood compartment required for hypoxia quantification. Experiments are performed at 4:1 or 2:1 signal-to-background ratio consistent with clinical FAZA and FMISO imaging. Motion blur was significant in terms of SUVmax, mean, and peak for motion ≥1 cm and could be significantly reduced (from 20% to 8% at 2-cm motion) for all 4D-PET-gated reconstructions. The effect of attenuation method on precision was significant (σ2 hCT-AC = 5.5%/4.7%/2.7% vs σ2 4D-CT-AC = 0.5%/0.6%/0.7% [max%/peak%/mean% variance]). The simulated hypoxic fraction also significantly decreased under conditions of 2-cm amplitude motion from 55% to 20% and was almost fully recovered (HF = 0.52 for phase-matched 4D-CT) using gated PET. 4D-gated PET is valuable under conditions of low radiotracer uptake found in hypoxia imaging. This work demonstrates the importance of using 4D-CT for AC when performing gated PET based on its significantly improved precision over helical CT.
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Affiliation(s)
- Brandon Driscoll
- Quantitative Imaging for Personalized Cancer Medicine Program-Techna Institute, University Health Network, Toronto, ON, Canada
| | - Douglass Vines
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON, Canada; and.,Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada
| | - Tina Shek
- Quantitative Imaging for Personalized Cancer Medicine Program-Techna Institute, University Health Network, Toronto, ON, Canada
| | - Julia Publicover
- Quantitative Imaging for Personalized Cancer Medicine Program-Techna Institute, University Health Network, Toronto, ON, Canada
| | - Ivan Yeung
- Quantitative Imaging for Personalized Cancer Medicine Program-Techna Institute, University Health Network, Toronto, ON, Canada.,Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON, Canada; and.,Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada
| | - Stephen Breen
- Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON, Canada; and.,Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada
| | - David Jaffray
- Quantitative Imaging for Personalized Cancer Medicine Program-Techna Institute, University Health Network, Toronto, ON, Canada.,Radiation Medicine Program, Princess Margaret Cancer Centre, Toronto, ON, Canada; and.,Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada
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12
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Motion-compensated FDG PET/CT for oesophageal cancer. Strahlenther Onkol 2021; 197:791-801. [PMID: 33825916 DOI: 10.1007/s00066-021-01761-w] [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: 11/20/2020] [Accepted: 03/02/2021] [Indexed: 10/21/2022]
Abstract
PURPOSE Respiratory-induced motion of oesophageal tumours and lymph nodes can influence positron-emission tomography/computed tomography (PET/CT). The aim was to compare standard three-dimensional (3D) and motion-compensated PET/CT regarding standardized uptake value (SUV), metabolic tumour volume (MTV) and detection of lymph node metastases. METHODS This prospective observational study (NCT02424864) included 37 newly diagnosed oesophageal cancer patients. Diagnostic PET/CT was reconstructed in 3D and motion-compensated PET/CT. MTVs of the primary tumour were calculated using an automated region-growing algorithm with SUV thresholds of 2.5 (MTV2.5) and ≥ 50% of SUVmax (MTV50%). Blinded for reconstruction method, a nuclear medicine physician assessed all lymph nodes showing 18F‑fluorodeoxyglucose uptake for their degree of suspicion. RESULTS The mean (95% CI) SUVmax of the primary tumour was 13.1 (10.6-15.5) versus 13.0 (10.4-15.6) for 3D and motion-compensated PET/CT, respectively. MTVs were also similar between the two techniques. Bland-Altman analysis showed mean differences between both measurements (95% limits of agreement) of 0.08 (-3.60-3.75), -0.26 (-2.34-1.82), 4.66 (-29.61-38.92) cm3 and -0.95 (-19.9-18.0) cm3 for tumour SUVmax, lymph node SUVmax, MTV2.5 and MTV50%, respectively. Lymph nodes were classified as highly suspicious (30/34 nodes), suspicious (20/22) and dubious (66/59) for metastases on 3D/motion-compensated PET/CT. No additional lymph node metastases were found on motion-compensated PET/CT. SUVmax of the most intense lymph nodes was similar for both scans: mean (95% CI) 6.6 (4.3-8.8) and 6.8 (4.5-9.1) for 3D and motion-compensated, respectively. CONCLUSION SUVmax of the primary oesophageal tumour and lymph nodes was comparable on 3D and motion-compensated PET/CT. The use of motion-compensated PET/CT did not improve lymph node detection.
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13
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Borrelli P, Ly J, Kaboteh R, Ulén J, Enqvist O, Trägårdh E, Edenbrandt L. AI-based detection of lung lesions in [ 18F]FDG PET-CT from lung cancer patients. EJNMMI Phys 2021; 8:32. [PMID: 33768311 PMCID: PMC7994489 DOI: 10.1186/s40658-021-00376-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2020] [Accepted: 03/05/2021] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND [18F]-fluorodeoxyglucose (FDG) positron emission tomography with computed tomography (PET-CT) is a well-established modality in the work-up of patients with suspected or confirmed diagnosis of lung cancer. Recent research efforts have focused on extracting theragnostic and textural information from manually indicated lung lesions. Both semi-automatic and fully automatic use of artificial intelligence (AI) to localise and classify FDG-avid foci has been demonstrated. To fully harness AI's usefulness, we have developed a method which both automatically detects abnormal lung lesions and calculates the total lesion glycolysis (TLG) on FDG PET-CT. METHODS One hundred twelve patients (59 females and 53 males) who underwent FDG PET-CT due to suspected or for the management of known lung cancer were studied retrospectively. These patients were divided into a training group (59%; n = 66), a validation group (20.5%; n = 23) and a test group (20.5%; n = 23). A nuclear medicine physician manually segmented abnormal lung lesions with increased FDG-uptake in all PET-CT studies. The AI-based method was trained to segment the lesions based on the manual segmentations. TLG was then calculated from manual and AI-based measurements, respectively and analysed with Bland-Altman plots. RESULTS The AI-tool's performance in detecting lesions had a sensitivity of 90%. One small lesion was missed in two patients, respectively, where both had a larger lesion which was correctly detected. The positive and negative predictive values were 88% and 100%, respectively. The correlation between manual and AI TLG measurements was strong (R2 = 0.74). Bias was 42 g and 95% limits of agreement ranged from - 736 to 819 g. Agreement was particularly high in smaller lesions. CONCLUSIONS The AI-based method is suitable for the detection of lung lesions and automatic calculation of TLG in small- to medium-sized tumours. In a clinical setting, it will have an added value due to its capability to sort out negative examinations resulting in prioritised and focused care on patients with potentially malignant lesions.
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Affiliation(s)
- Pablo Borrelli
- Department of Clinical Physiology, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - John Ly
- Department of Radiology, Kristianstad Hospital, Kristianstad, Sweden. .,Department of Translational Medicine and Wallenberg Center for Molecular Medicine, Lund University, Malmö, Sweden.
| | - Reza Kaboteh
- Department of Clinical Physiology, Sahlgrenska University Hospital, Gothenburg, Sweden
| | | | - Olof Enqvist
- Eigenvision AB, Malmö, Sweden.,Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden
| | - Elin Trägårdh
- Department of Translational Medicine and Wallenberg Center for Molecular Medicine, Lund University, Malmö, Sweden.,Department of Clinical Physiology and Nuclear Medicine, Skåne University Hospital, Malmö, Sweden
| | - Lars Edenbrandt
- Department of Clinical Physiology, Sahlgrenska University Hospital, Gothenburg, Sweden.,Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
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14
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Decazes P, Hinault P, Veresezan O, Thureau S, Gouel P, Vera P. Trimodality PET/CT/MRI and Radiotherapy: A Mini-Review. Front Oncol 2021; 10:614008. [PMID: 33614497 PMCID: PMC7890017 DOI: 10.3389/fonc.2020.614008] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2020] [Accepted: 12/22/2020] [Indexed: 12/12/2022] Open
Abstract
Computed tomography (CT) has revolutionized external radiotherapy by making it possible to visualize and segment the tumors and the organs at risk in a three-dimensional way. However, if CT is a now a standard, it presents some limitations, notably concerning tumor characterization and delineation. Its association with functional and anatomical images, that are positron emission tomography (PET) and magnetic resonance imaging (MRI), surpasses its limits. This association can be in the form of a trimodality PET/CT/MRI. The objective of this mini-review is to describe the process of performing this PET/CT/MRI trimodality for radiotherapy and its potential clinical applications. Trimodality can be performed in two ways, either a PET/MRI fused to a planning CT (possibly with a pseudo-CT generated from the MRI for the planning), or a PET/CT fused to an MRI and then registered to a planning CT (possibly the CT of PET/CT if calibrated for radiotherapy). These examinations should be performed in the treatment position, and in the second case, a patient transfer system can be used between the PET/CT and MRI to limit movement. If trimodality requires adapted equipment, notably compatible MRI equipment with high-performance dedicated coils, it allows the advantages of the three techniques to be combined with a synergistic effect while limiting their disadvantages when carried out separately. Trimodality is already possible in clinical routine and can have a high clinical impact and good inter-observer agreement, notably for head and neck cancers, brain tumor, prostate cancer, cervical cancer.
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Affiliation(s)
- Pierre Decazes
- Nuclear Medicine Department, Henri Becquerel Cancer Center, Rouen, France.,QuantIF-LITIS EA4108, University of Rouen, Rouen, France
| | | | - Ovidiu Veresezan
- Radiotherapy Department, Henri Becquerel Cancer Center, Rouen, France
| | - Sébastien Thureau
- Nuclear Medicine Department, Henri Becquerel Cancer Center, Rouen, France.,QuantIF-LITIS EA4108, University of Rouen, Rouen, France.,Radiotherapy Department, Henri Becquerel Cancer Center, Rouen, France
| | - Pierrick Gouel
- Nuclear Medicine Department, Henri Becquerel Cancer Center, Rouen, France.,QuantIF-LITIS EA4108, University of Rouen, Rouen, France
| | - Pierre Vera
- Nuclear Medicine Department, Henri Becquerel Cancer Center, Rouen, France.,QuantIF-LITIS EA4108, University of Rouen, Rouen, France
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15
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Image-guided Radiotherapy to Manage Respiratory Motion: Lung and Liver. Clin Oncol (R Coll Radiol) 2020; 32:792-804. [PMID: 33036840 DOI: 10.1016/j.clon.2020.09.008] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Revised: 08/26/2020] [Accepted: 09/18/2020] [Indexed: 12/25/2022]
Abstract
Organ motion as a result of respiratory and cardiac motion poses significant challenges for the accurate delivery of radiotherapy to both the thorax and the upper abdomen. Modern imaging techniques during radiotherapy simulation and delivery now permit better quantification of organ motion, which in turn reduces tumour and organ at risk position uncertainty. These imaging advances, coupled with respiratory correlated radiotherapy delivery techniques, have led to the development of a range of approaches to manage respiratory motion. This review summarises the key strategies of image-guided respiratory motion management with a focus on lung and liver radiotherapy.
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16
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Hering DA, Kröger K, Bauer RW, Eich HT, Haverkamp U. Comparison of virtual non-contrast dual-energy CT and a true non-contrast CT for contouring in radiotherapy of 3D printed lung tumour models in motion: a phantom study. Br J Radiol 2020; 93:20200152. [PMID: 33002387 DOI: 10.1259/bjr.20200152] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023] Open
Abstract
OBJECTIVES This work aims to investigate whether virtual non-contrast (VNC) dual-energy CT(DECT) of contrasted lung tumours can be used as an alternative for true non-contrast (TNC) images in radiotherapy. Two DECT techniques and a TNC CT were compared and influences on gross tumour volume (GTV) volume and CT number from motion artefacts in three-dimensional printed lung tumour models (LTM) in amotion phantom were examined. METHODS Two spherical LTMs (diameter 3.0 cm) with different inner shapes were created in a three-dimensional printer. The inner shapes contained water or iodine (concentration 5 mg ml-1) and were scanned with a dual-source DECT (ds-DECT), single-source sequential DECT (ss-DECT) and TNC CT in a respiratory motion phantom (15 breaths/min, amplitude 1.5 cm). CT number and volume of LTMs were measured. Therefore, two GTVs were contoured. RESULTS Deviations in GTV volume (outer shape) of LTMs in motion for contrast-enhanced ss-DECT and ds-DECT VNC images compared to TNC images are not significant (p > 0.05). Relative GTV volume and CT number deviations (inner shapes) of LTMs in motion were 6.6 ± 0.6% and 104.4 ± 71.2 HU between ss-DECT and TNC CT and -8.4 ± 10.6% and 25.5 ± 58.5 HU between ds-DECT and TNC, respectively. CONCLUSION ss-DECT VNC images could not sufficiently subtract iodine from water in LTMs inmotion, whereas ds-DECT VNC images might be a valid alternative to a TNC CT. ADVANCES IN KNOWLEDGE ds-DECT provides a contrasted image for contouring and a non-contrasted image for radiotherapy treatment planning for LTM in motion.
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Affiliation(s)
| | - Kai Kröger
- Department of Radiation Oncology, University Hospital of Muenster, Muenster, Germany
| | - Ralf W Bauer
- RNS, Private Radiology and Radiation Therapy Group, Wiesbaden, Germany
| | - Hans Theodor Eich
- Department of Radiation Oncology, University Hospital of Muenster, Muenster, Germany
| | - Uwe Haverkamp
- Department of Radiation Oncology, University Hospital of Muenster, Muenster, Germany
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17
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Vergalasova I, Cai J. A modern review of the uncertainties in volumetric imaging of respiratory-induced target motion in lung radiotherapy. Med Phys 2020; 47:e988-e1008. [PMID: 32506452 DOI: 10.1002/mp.14312] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2019] [Revised: 05/15/2020] [Accepted: 05/26/2020] [Indexed: 12/25/2022] Open
Abstract
Radiotherapy has become a critical component for the treatment of all stages and types of lung cancer, often times being the primary gateway to a cure. However, given that radiation can cause harmful side effects depending on how much surrounding healthy tissue is exposed, treatment of the lung can be particularly challenging due to the presence of moving targets. Careful implementation of every step in the radiotherapy process is absolutely integral for attaining optimal clinical outcomes. With the advent and now widespread use of stereotactic body radiation therapy (SBRT), where extremely large doses are delivered, accurate, and precise dose targeting is especially vital to achieve an optimal risk to benefit ratio. This has largely become possible due to the rapid development of image-guided technology. Although imaging is critical to the success of radiotherapy, it can often be plagued with uncertainties due to respiratory-induced target motion. There has and continues to be an immense research effort aimed at acknowledging and addressing these uncertainties to further our abilities to more precisely target radiation treatment. Thus, the goal of this article is to provide a detailed review of the prevailing uncertainties that remain to be investigated across the different imaging modalities, as well as to highlight the more modern solutions to imaging motion and their role in addressing the current challenges.
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Affiliation(s)
- Irina Vergalasova
- Department of Radiation Oncology, Rutgers Cancer Institute of New Jersey, Rutgers University, New Brunswick, NJ, USA
| | - Jing Cai
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong
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18
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Voglhuber T, Kessel KA, Oechsner M, Vogel MME, Gschwend JE, Combs SE. Single-institutional outcome-analysis of low-dose stereotactic body radiation therapy (SBRT) of adrenal gland metastases. BMC Cancer 2020; 20:536. [PMID: 32513136 PMCID: PMC7282163 DOI: 10.1186/s12885-020-07030-w] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2019] [Accepted: 06/02/2020] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Adrenal gland metastases are a common diagnostic finding in various tumor diseases. Due to the increased use of imaging methods, they are diagnosed more frequently, especially in asymptomatic patients. SBRT has emerged as a new, alternative treatment option in the field of radiation oncology. In the past, it was often used for treating inoperable lung, liver, prostate, and brain tumors. Meanwhile, it is also an established keystone in the treatment of oligometastatic diseases. This retrospective study aims to evaluate the effect of low-dose SBRT in patients with adrenal metastases. METHODS We analyzed a group of 31 patients with 34 adrenal gland lesions treated with low-dose SBRT between July 2006 and July 2019. Treatment-planning was performed through contrast-enhanced CT, followed by image-guided stereotactic radiotherapy using cone-beam CT. The applied cumulative median dose was 35 Gy; the median single dose was 7 Gy. We focused on local control (LC), progression-free survival (PFS), overall survival (OS), as well as acute and late toxicity. RESULTS Seven adrenal gland metastases (20.6%) experienced local failure, 80.6% of the patients faced a distant progression. Fourteen patients were still alive. Median follow-up for all patients was 9.8 months and for patients alive 14.4 months. No treatment-related side-effects >grade 2 occurred. Of all, 48.4% suffered from acute gastrointestinal disorders; 32.3% reported acute fatigue, throbbing pain in the renal area, and mild adrenal insufficiency. Altogether, 19.4% of the patients faced late-toxicities, which were as follows: Grade 1: 12.9% gastrointestinal disorders, 3.2% fatigue, Grade 2: 9.7% fatigue, 6.5% headache, 3.2% loss of weight. The 1-year OS and probability of LF were 64 and 25.9%, respectively. CONCLUSION Low-dose SBRT has proven as an effective and safe method with promising outcomes for treating adrenal metastases. There appeared no high-grade toxicities >grade 2, and 79.4% of treated metastases were progression-free. Thus, SBRT should be considered as a therapy option for adrenal metastases as an individual therapeutic concept in the interdisciplinary discussion as an alternative to surgical or systemic treatment.
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Affiliation(s)
- Theresa Voglhuber
- Department of Radiation Oncology, Technical University of Munich (TUM), Ismaninger Straße 22, Munich, Germany.
| | - Kerstin A Kessel
- Department of Radiation Oncology, Technical University of Munich (TUM), Ismaninger Straße 22, Munich, Germany.,Institute of Radiation Medicine (IRM), Helmholtz Zentrum München, Ingolstädter Landstraße 1, Neuherberg, Germany.,Deutsches Konsortium für Translationale Krebsforschung (DKTK), Partner Site Munich, Heidelberg, Germany
| | - Markus Oechsner
- Department of Radiation Oncology, Technical University of Munich (TUM), Ismaninger Straße 22, Munich, Germany
| | - Marco M E Vogel
- Department of Radiation Oncology, Technical University of Munich (TUM), Ismaninger Straße 22, Munich, Germany
| | - Jürgen E Gschwend
- Department of Urology, Technical University of Munich (TUM), Ismaninger Straße 22, Munich, Germany
| | - Stephanie E Combs
- Department of Radiation Oncology, Technical University of Munich (TUM), Ismaninger Straße 22, Munich, Germany.,Institute of Radiation Medicine (IRM), Helmholtz Zentrum München, Ingolstädter Landstraße 1, Neuherberg, Germany.,Deutsches Konsortium für Translationale Krebsforschung (DKTK), Partner Site Munich, Heidelberg, Germany
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19
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Cacciola A, Parisi S, Tamburella C, Lillo S, Ferini G, Molino L, Iatì G, Pontoriero A, Bottari A, Mazziotti S, Cicero G, Minutoli F, Blandino A, Pergolizzi S. Stereotactic body radiation therapy and radiofrequency ablation for the treatment of liver metastases: How and when? Rep Pract Oncol Radiother 2020; 25:299-306. [PMID: 32194349 DOI: 10.1016/j.rpor.2020.02.010] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2019] [Accepted: 02/19/2020] [Indexed: 02/07/2023] Open
Abstract
Limited liver metastases represent a clinical challenge. Surgical approach is the most frequently reported treatment option, however, some patients are not eligible for surgical interventions. Relatively recent technologic advances have permitted the safe use of ablative techniques employed in the cure of hepatic metastases. Among these, radiofrequency ablation (RFA) and stereotactic body radiotherapy (SBRT) have emerged as valid treatments in a significant proportion of patients with intrahepatic oligometastatic disease. This review offers an up-to-date of current available literature on this issue focusing on the use and outcomes of RFA and SBRT, according to the PICO (Population, Intervention, Comparison and Outcomes) criteria.
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Affiliation(s)
- Alberto Cacciola
- Radiation Oncology Unit - Department of Biomedical, Dental Science and Morphological and Functional Images, University of Messina, Messina, Italy
| | - Silvana Parisi
- Radiation Oncology Unit - Department of Biomedical, Dental Science and Morphological and Functional Images, University of Messina, Messina, Italy
| | - Consuelo Tamburella
- Radiation Oncology Unit - Department of Biomedical, Dental Science and Morphological and Functional Images, University of Messina, Messina, Italy
| | - Sara Lillo
- Radiation Oncology Unit - Department of Biomedical, Dental Science and Morphological and Functional Images, University of Messina, Messina, Italy
| | - Gianluca Ferini
- Radiation Oncology Unit - Department of Biomedical, Dental Science and Morphological and Functional Images, University of Messina, Messina, Italy
| | - Laura Molino
- Radiation Oncology Unit - Department of Biomedical, Dental Science and Morphological and Functional Images, University of Messina, Messina, Italy
| | - Giuseppe Iatì
- Radiation Oncology Unit - Department of Biomedical, Dental Science and Morphological and Functional Images, University of Messina, Messina, Italy
| | - Antonio Pontoriero
- Radiation Oncology Unit - Department of Biomedical, Dental Science and Morphological and Functional Images, University of Messina, Messina, Italy
| | - Antonio Bottari
- Radiology Unit - Department of Biomedical, Dental Science and Morphological and Functional Images, University of Messina, Messina, Italy
| | - Silvio Mazziotti
- Radiology Unit - Department of Biomedical, Dental Science and Morphological and Functional Images, University of Messina, Messina, Italy
| | - Giuseppe Cicero
- Radiology Unit - Department of Biomedical, Dental Science and Morphological and Functional Images, University of Messina, Messina, Italy
| | - Fabio Minutoli
- Nuclear Medicine Unit - Department of Biomedical, Dental Science and Morphological and Functional Images, University of Messina, Messina, Italy
| | - Alfredo Blandino
- Radiology Unit - Department of Biomedical, Dental Science and Morphological and Functional Images, University of Messina, Messina, Italy
| | - Stefano Pergolizzi
- Radiation Oncology Unit - Department of Biomedical, Dental Science and Morphological and Functional Images, University of Messina, Messina, Italy
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20
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Filice A, Casali M, Ciammella P, Galaverni M, Fioroni F, Iotti C, Versari A. Radiotherapy Planning and Molecular Imaging in Lung Cancer. Curr Radiopharm 2020; 13:204-217. [PMID: 32186275 PMCID: PMC8206193 DOI: 10.2174/1874471013666200318144154] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2019] [Revised: 03/11/2019] [Accepted: 11/11/2019] [Indexed: 12/24/2022]
Abstract
INTRODUCTION In patients suitable for radical chemoradiotherapy for lung cancer, 18F-FDGPET/ CT is a proposed management to improve the accuracy of high dose radiotherapy. However, there is a high rate of locoregional failure in patients with locally advanced non-small cell lung cancer (NSCLC), probably due to the fact that standard dosing may not be effective in all patients. The aim of the present review was to address some criticisms associated with the radiotherapy image-guided in NSCLC. MATERIALS AND METHODS A systematic literature search was conducted. Only published articles that met the following criteria were included: articles, only original papers, radiopharmaceutical ([18F]FDG and any tracer other than [18F]FDG), target, only specific for lung cancer radiotherapy planning, and experimental design (eventually "in vitro" studies were excluded). Peer-reviewed indexed journals, regardless of publication status (published, ahead of print, in press, etc.) were included. Reviews, case reports, abstracts, editorials, poster presentations, and publications in languages other than English were excluded. The decision to include or exclude an article was made by consensus and any disagreement was resolved through discussion. RESULTS Hundred eligible full-text articles were assessed. Diverse information is now available in the literature about the role of FDG and new alternative radiopharmaceuticals for the planning of radiotherapy in NSCLC. In particular, the role of alternative technologies for the segmentation of FDG uptake is essential, although indeterminate for RT planning. The pros and cons of the available techniques have been extensively reported. CONCLUSION PET/CT has a central place in the planning of radiotherapy for lung cancer and, in particular, for NSCLC assuming a substantial role in the delineation of tumor volume. The development of new radiopharmaceuticals can help overcome the problems related to the disadvantage of FDG to accumulate also in activated inflammatory cells, thus improving tumor characterization and providing new prognostic biomarkers.
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Affiliation(s)
- Angelina Filice
- Address correspondence to this author at the Nuclear Medicine Unit, Azienda Unità Sanitaria Locale, Istituto di Ricovero e Cura a Carattere Scientifico, Reggio Emilia, Italy; E-mail:
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21
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Pike LC, Thomas CM, Guerrero-Urbano T, Michaelidou A, Greener T, Miles E, Eaton D, Barrington SF. Guidance on the use of PET for treatment planning in radiotherapy clinical trials. Br J Radiol 2019; 92:20190180. [PMID: 31437023 PMCID: PMC6849663 DOI: 10.1259/bjr.20190180] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2019] [Revised: 07/16/2019] [Accepted: 08/19/2019] [Indexed: 12/22/2022] Open
Abstract
The aim of this article is to propose meaningful guidance covering the practical and technical issues involved when planning or conducting clinical trials involving positron emission tomography (PET)-guided radiotherapy. The complexity of imaging requirements will depend on the study aims, design and PET methods used. Where PET is used to adapt radiotherapy, a high level of accuracy and reproducibility is required to ensure effective and safe treatment delivery. The guidance in this document is intended to assist researchers designing clinical trials involving PET-guided radiotherapy to provide sufficient information about the appropriate methods to complete PET-CT imaging to a consistent standard at participating centres. The guidance is divided into six categories: application of PET in radiotherapy, resource requirements, quality assurance, imaging protocol design, data management and image processing. Each section provides an overview of the recent literature to support the specific recommendations. This guidance builds on previous recommendations from the National Cancer Research Institute PET Research Network and has been produced in collaboration with the National Radiotherapy Trials Quality Assurance Group.
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Affiliation(s)
- Lucy C Pike
- King’s College London and Guy’s and St Thomas’ PET Centre, School of Biomedical Engineering and Imaging Sciences, King’s College London, King’s Health Partners, London, UK
| | | | | | | | - Tony Greener
- Radiotherapy Physics, Guy's & St Thomas’ NHS Foundation Trust, London, UK
| | - Elizabeth Miles
- National Radiotherapy Trials QA Group, Mount Vernon Hospital, Northwood, UK
| | | | - Sally F Barrington
- King’s College London and Guy’s and St Thomas’ PET Centre, School of Biomedical Engineering and Imaging Sciences, King’s College London, King’s Health Partners, London, UK
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22
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Das SK, McGurk R, Miften M, Mutic S, Bowsher J, Bayouth J, Erdi Y, Mawlawi O, Boellaard R, Bowen SR, Xing L, Bradley J, Schoder H, Yin FF, Sullivan DC, Kinahan P. Task Group 174 Report: Utilization of [ 18 F]Fluorodeoxyglucose Positron Emission Tomography ([ 18 F]FDG-PET) in Radiation Therapy. Med Phys 2019; 46:e706-e725. [PMID: 31230358 DOI: 10.1002/mp.13676] [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: 04/06/2019] [Revised: 04/30/2019] [Accepted: 06/06/2019] [Indexed: 02/03/2023] Open
Abstract
The use of positron emission tomography (PET) in radiation therapy (RT) is rapidly increasing in the areas of staging, segmentation, treatment planning, and response assessment. The most common radiotracer is 18 F-fluorodeoxyglucose ([18 F]FDG), a glucose analog with demonstrated efficacy in cancer diagnosis and staging. However, diagnosis and RT planning are different endeavors with unique requirements, and very little literature is available for guiding physicists and clinicians in the utilization of [18 F]FDG-PET in RT. The two goals of this report are to educate and provide recommendations. The report provides background and education on current PET imaging systems, PET tracers, intensity quantification, and current utilization in RT (staging, segmentation, image registration, treatment planning, and therapy response assessment). Recommendations are provided on acceptance testing, annual and monthly quality assurance, scanning protocols to ensure consistency between interpatient scans and intrapatient longitudinal scans, reporting of patient and scan parameters in literature, requirements for incorporation of [18 F]FDG-PET in treatment planning systems, and image registration. The recommendations provided here are minimum requirements and are not meant to cover all aspects of the use of [18 F]FDG-PET for RT.
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Affiliation(s)
- Shiva K Das
- Department of Radiation Oncology, University of North Carolina School of Medicine, Chapel Hill, NC, USA
| | - Ross McGurk
- Department of Radiation Oncology, University of North Carolina School of Medicine, Chapel Hill, NC, USA
| | - Moyed Miften
- Department of Radiation Oncology, University of Colorado School of Medicine, Aurora, CO, USA
| | - Sasa Mutic
- Department of Radiation Oncology, Washington University School of Medicine, St. Louis, MO, USA
| | - James Bowsher
- Department of Radiation Oncology, Duke University Medical Center, Durham, NC, USA
| | - John Bayouth
- Human Oncology, University of Wisconsin, Madison, WI, USA
| | - Yusuf Erdi
- Department of Medical Physics, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - Osama Mawlawi
- Department of Imaging Physics, University of Texas, M D Anderson Cancer Center, Houston, TX, USA
| | - Ronald Boellaard
- Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands
| | - Stephen R Bowen
- Department of Radiation Oncology, University of Washington, Seattle, WA, USA
| | - Lei Xing
- Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA, USA
| | - Jeffrey Bradley
- Department of Radiation Oncology, Washington University School of Medicine, St. Louis, MO, USA
| | - Heiko Schoder
- Molecular Imaging and Therapy Service, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - Fang-Fang Yin
- Department of Radiation Oncology, Duke University Medical Center, Durham, NC, USA
| | - Daniel C Sullivan
- Department of Radiology, Duke University School of Medicine, Durham, NC, USA
| | - Paul Kinahan
- Department of Radiology, University of Washington, Seattle, WA, USA
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« Définition des volumes cibles : quand et comment l’oncologue radiothérapeute peut-il utiliser la TEP ? ». Cancer Radiother 2019; 23:745-752. [DOI: 10.1016/j.canrad.2019.07.133] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2019] [Accepted: 07/28/2019] [Indexed: 12/12/2022]
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24
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Alongi P, Laudicella R, Desideri I, Chiaravalloti A, Borghetti P, Quartuccio N, Fiore M, Evangelista L, Marino L, Caobelli F, Tuscano C, Mapelli P, Lancellotta V, Annunziata S, Ricci M, Ciurlia E, Fiorentino A. Positron emission tomography with computed tomography imaging (PET/CT) for the radiotherapy planning definition of the biological target volume: PART 1. Crit Rev Oncol Hematol 2019; 140:74-79. [PMID: 30795884 DOI: 10.1016/j.critrevonc.2019.01.011] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2018] [Revised: 01/11/2019] [Accepted: 01/21/2019] [Indexed: 02/07/2023] Open
Abstract
AIM Functional and molecular imaging, including positron emission tomography with computed tomography imaging (PET/CT) is increasing for radiotherapy (RT) definition of the target volume. This expert review summarizes existing data of functional imaging modalities and RT management, in terms of target volume delineation, for the following anatomical districts: brain (for primary and secondary tumors), head/neck and lung. MATERIALS AND METHODS A collection of available published data was made, by PubMed a search. Only original articles were carefully and critically revised. RESULTS For primary and secondary brain tumors, amino acid PET radiotracers could be useful to identify microscopic residual areas and to differ between recurrence and treatment-related alterations in case of re-irradiation. As for head and neck neoplasms may benefit from precise PET/CT-based target delineation, due to the major capability to identify high-risk RT areas. In primary and secondary lung cancer, PET/CT could be useful both to delimit a tumor and collapsed lungs and as a predictive parameter of treatment response. CONCLUSION Taken together, molecular and functional imaging approaches offer a major step to individualize radiotherapeutic care going forward. Nevertheless, several uncertainties remain on the standard method to properly assess the target volume definition including PET information for primary and secondary brain tumors.
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Affiliation(s)
- Pierpaolo Alongi
- Department of Radiological Sciences, Nuclear Medicine Service, Fondazione Istituto G. Giglio, Cefalu. Italy
| | - Riccardo Laudicella
- Department of Biomedical and Dental Sciences and of Morphofunctional Imaging, University of Messina. Italy
| | - Isacco Desideri
- Department of Biomedical, Experimental and Clinical Sciences "Mario Serio", Section of Radiation Oncology, University of Florence, Italy
| | - Agostino Chiaravalloti
- IRCCS Istituto Neurologico Mediterraneo (INM) Neuromed, Pozzilli, Italy; Department of Biomedicine and Prevention, University of Rome Tor Vergata, Italy
| | - Paolo Borghetti
- Radiation Oncology Department University and Spedali Civili, Brescia, Italy
| | | | - Michele Fiore
- Radiation Oncology, Campus Bio-Medico University, Rome, Italy
| | - Laura Evangelista
- Nuclear Medicine Unit, Veneto Institute of Oncology IOV - IRCCS, Padua, Italy
| | - Lorenza Marino
- Radiotherapy Oncology Department, REM, Viagrande, Catania, Italy
| | - Federico Caobelli
- Clinic of Radiology and Nuclear Medicine, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Carmelo Tuscano
- Radiotherapy Oncology Department, Azienda Ospedaliera Bianchi-Melacrino-Morelli, Reggio Calabria, Italy
| | - Paola Mapelli
- Department of Nuclear Medicine, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | | | - Salvatore Annunziata
- Fondazione Policlinico A. Gemelli IRCCS-Università Cattolica Sacro Cuore, Roma, Italy
| | - Maria Ricci
- Department of Radiological, Oncological and Pathological Sciences, Sapienza University of Rome, Rome, Italy
| | - Elisa Ciurlia
- Radiotherapy Oncology Department, Vito Fazzi Hospital, Lecce, Italy
| | - Alba Fiorentino
- Radiotherapy Oncology Department, General Regional Hospital "F. Miulli", Strada Prov. 127 Km 4, 70021, Acquaviva delle Fonti, Bari, Italy.
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25
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Using Cine-Averaged CT With the Shallow Breathing Pattern to Reduce Respiration-Induced Artifacts for Thoracic Cavity PET/CT Scans. AJR Am J Roentgenol 2019; 213:140-146. [DOI: 10.2214/ajr.18.20606] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
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26
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Wink KCJ, Löck S, Rossi M, van Baardwijk A, Belderbos J, de Ruysscher D, Troost EGC. Contact of a tumour with the pleura is not associated with regional recurrence following stereotactic ablative radiotherapy for early stage non-small cell lung cancer. Radiother Oncol 2019; 131:120-126. [PMID: 30773178 DOI: 10.1016/j.radonc.2018.11.024] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2018] [Revised: 11/27/2018] [Accepted: 11/30/2018] [Indexed: 12/25/2022]
Abstract
BACKGROUND AND PURPOSE The aim was to investigate the incidence of isolated regional failure following stereotactic ablative radiotherapy (SABR) and risk factors for recurrence. MATERIALS AND METHODS Early stage non-small cell lung cancer (NSCLC) patients treated with SABR were included in this retrospective cohort study, with isolated regional recurrence (IRR) as primary endpoint, distant recurrence (DR) and overall survival (OS) as secondary endpoints. Survival analyses were performed using the cumulative incidence function (IRR and DR) or the Kaplan-Meier method (OS) and Cox proportional hazards modelling for univariate and multivariate analyses. The prognostic effect of contact between the tumour and the pleura was investigated using the CT scans used for SABR planning. RESULTS A total of 554 patients were included, of whom 494 could be analysed for IRR. The median follow-up for surviving patients was 48.1 months. Twenty-one patients developed an IRR (4%). The cumulative incidence of IRR and DR after 1-, 2-, and 5 years was 2%, 3%, 7% and 8%, 15% and 21%, respectively. Two year OS was 71%. The presence and type of pleural contact was not associated with any of the studied outcomes. CONCLUSION The presence, type and length of pleural contact as surrogate for visceral pleural invasion were not predictive for outcome. Further studies focussing on risk factors for occult nodal involvement, (I)RR, distant metastases and mortality in early stage NSCLC are warranted for the development of risk adapted diagnostic, treatment and follow-up strategies as more younger, operable and fitter patients receive SABR.
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Affiliation(s)
- Krista C J Wink
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre, the Netherlands.
| | - Steffen Löck
- Institute of Radiooncology - OncoRay, Helmholtz Zentrum Dresden - Rossendorf, Dresden, Germany; OncoRay, National Center for Radiation Research in Oncology, Dresden, Germany; Department of Radiation Oncology, University Hospital Carl Gustav Carus of Technische Universität Dresden, Germany; German Cancer Consortium (DKTK), Partnersite Dresden, Dresden, and German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Maddalena Rossi
- Department of Radiation Oncology, Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Angela van Baardwijk
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre, the Netherlands
| | - José Belderbos
- Department of Radiation Oncology, Netherlands Cancer Institute, Amsterdam, the Netherlands
| | - Dirk de Ruysscher
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre, the Netherlands
| | - Esther G C Troost
- Department of Radiation Oncology (MAASTRO), GROW, School for Oncology and Developmental Biology, Maastricht University Medical Centre, the Netherlands; Institute of Radiooncology - OncoRay, Helmholtz Zentrum Dresden - Rossendorf, Dresden, Germany; OncoRay, National Center for Radiation Research in Oncology, Dresden, Germany; Department of Radiation Oncology, University Hospital Carl Gustav Carus of Technische Universität Dresden, Germany; German Cancer Consortium (DKTK), Partnersite Dresden, Dresden, and German Cancer Research Center (DKFZ), Heidelberg, Germany
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Nestle U, De Ruysscher D, Ricardi U, Geets X, Belderbos J, Pöttgen C, Dziadiuszko R, Peeters S, Lievens Y, Hurkmans C, Slotman B, Ramella S, Faivre-Finn C, McDonald F, Manapov F, Putora PM, LePéchoux C, Van Houtte P. ESTRO ACROP guidelines for target volume definition in the treatment of locally advanced non-small cell lung cancer. Radiother Oncol 2018; 127:1-5. [PMID: 29605476 DOI: 10.1016/j.radonc.2018.02.023] [Citation(s) in RCA: 121] [Impact Index Per Article: 20.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2018] [Revised: 02/22/2018] [Accepted: 02/22/2018] [Indexed: 12/18/2022]
Abstract
Radiotherapy (RT) plays a major role in the curative treatment of locally advanced non-small cell lung cancer (NSCLC). Therefore, the ACROP committee was asked by the ESTRO to provide recommendations on target volume delineation for standard clinical scenarios in definitive (chemo)radiotherapy (RT) and adjuvant RT for locally advanced NSCLC. The guidelines given here are a result of the evaluation of a structured questionnaire followed by a consensus discussion, voting and writing procedure within the committee. Hence, we provide advice for methods and time-points of diagnostics and imaging before the start of treatment planning and for the mandatory and optional imaging to be used for planning itself. Concerning target volumes, recommendations are given for GTV delineation of primary tumour and lymph nodes followed by issues related to the delineation of CTVs for definitive and adjuvant radiotherapy. In the context of PTV delineation, recommendations about the management of geometric uncertainties and target motion are given. We further provide our opinions on normal tissue delineation and organisational and responsibility questions in the process of target volume delineation. This guideline intends to contribute to the standardisation and optimisation of the process of RT treatment planning for clinical practice and prospective studies.
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Affiliation(s)
- Ursula Nestle
- Department of Radiation Oncology, Kliniken Maria Hilf, Moenchengladbach, Germany; Department of Radiation Oncology, University Hospital Freiburg, Germany.
| | - Dirk De Ruysscher
- Maastricht University Medical Center, Department of Radiation Oncology (Maastro clinic), GROW School for Oncology and Developmental Biology, The Netherlands; KU Leuven, Radiation Oncology, Belgium
| | | | - Xavier Geets
- Department of Radiation Oncology, Cliniques universitaires Saint-Luc, MIRO - IREC Lab, UCL, Belgium
| | - Jose Belderbos
- Department of Radiation Oncology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Christoph Pöttgen
- Department of Radiation Oncology, West German Tumor Centre, University of Duisburg-Essen Medical School, Germany
| | - Rafal Dziadiuszko
- Department of Oncology and Radiotherapy, Medical University of Gdańsk, Poland
| | - Stephanie Peeters
- Maastricht University Medical Center, Department of Radiation Oncology (Maastro clinic), GROW School for Oncology and Developmental Biology, The Netherlands
| | - Yolande Lievens
- Department of Radiation Oncology, Ghent University Hospital, Belgium
| | - Coen Hurkmans
- Catharina Hospital, Department of Radiation Oncology, Eindhoven, The Netherlands
| | - Ben Slotman
- Department of Radiation Oncology, VU University Medical Center, Amsterdam, The Netherlands
| | - Sara Ramella
- Department of Radiation Oncology, Campus Bio-Medico University, Rome, Italy
| | - Corinne Faivre-Finn
- University of Manchester & The Christie NHS Foundation Trust, Manchester, UK
| | - Fiona McDonald
- Department of Radiotherapy, The Royal Marsden NHS Foundation Trust, London, UK
| | - Farkhad Manapov
- Department of Radiation Oncology, University Hospital, LMU Munich, Germany
| | - Paul Martin Putora
- Department of Radiation Oncology, Kantonsspital St. Gallen, Switzerland; Medical Faculty, University of Bern, Switzerland
| | - Cécile LePéchoux
- Department of Radiation Oncology, Gustave Roussy Cancer Campus, Villejuif, France
| | - Paul Van Houtte
- Department Radiation Oncology, Institut Bordet, Université Libre Bruxelles, Belgium
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Gkika E, Oehlke O, Bunea H, Wiedenmann N, Adebahr S, Nestle U, Zamboglou C, Kirste S, Fennell J, Brunner T, Gainey M, Baltas D, Langer M, Urbach H, Bock M, Meyer PT, Grosu AL. Biological imaging for individualized therapy in radiation oncology: part II medical and clinical aspects. Future Oncol 2018. [DOI: 10.2217/fon-2017-0465] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Positron emission tomography and multiparametric MRI provide crucial information concerning tumor extent and normal tissue anatomy. Moreover, they are able to visualize biological characteristics of the tumor, which can be considered in the radiation treatment planning and monitoring. In this review we discuss the impact of biological imaging positron emission tomography and multiparametric MRI for radiation oncology, based on the data of the literature and on the experience of our own institution in this field.
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Affiliation(s)
- Eleni Gkika
- Department of Radiation Oncology, Medical Center, Faculty of Medicine, University of Freiburg, D-79106, Germany
- German Cancer Consortium (DKTK), Partner Site Freiburg, German Cancer Research Center (DKFZ), Heidelberg, D-69120, Germany
| | - Oliver Oehlke
- Department of Radiation Oncology, Medical Center, Faculty of Medicine, University of Freiburg, D-79106, Germany
- German Cancer Consortium (DKTK), Partner Site Freiburg, German Cancer Research Center (DKFZ), Heidelberg, D-69120, Germany
| | - Hatice Bunea
- Department of Radiation Oncology, Medical Center, Faculty of Medicine, University of Freiburg, D-79106, Germany
- German Cancer Consortium (DKTK), Partner Site Freiburg, German Cancer Research Center (DKFZ), Heidelberg, D-69120, Germany
| | - Nicole Wiedenmann
- Department of Radiation Oncology, Medical Center, Faculty of Medicine, University of Freiburg, D-79106, Germany
- German Cancer Consortium (DKTK), Partner Site Freiburg, German Cancer Research Center (DKFZ), Heidelberg, D-69120, Germany
| | - Sonja Adebahr
- Department of Radiation Oncology, Medical Center, Faculty of Medicine, University of Freiburg, D-79106, Germany
- German Cancer Consortium (DKTK), Partner Site Freiburg, German Cancer Research Center (DKFZ), Heidelberg, D-69120, Germany
| | - Ursula Nestle
- Department of Radiation Oncology, Medical Center, Faculty of Medicine, University of Freiburg, D-79106, Germany
- German Cancer Consortium (DKTK), Partner Site Freiburg, German Cancer Research Center (DKFZ), Heidelberg, D-69120, Germany
| | - Constantinos Zamboglou
- Department of Radiation Oncology, Medical Center, Faculty of Medicine, University of Freiburg, D-79106, Germany
- German Cancer Consortium (DKTK), Partner Site Freiburg, German Cancer Research Center (DKFZ), Heidelberg, D-69120, Germany
| | - Simon Kirste
- Department of Radiation Oncology, Medical Center, Faculty of Medicine, University of Freiburg, D-79106, Germany
- German Cancer Consortium (DKTK), Partner Site Freiburg, German Cancer Research Center (DKFZ), Heidelberg, D-69120, Germany
| | - Jamina Fennell
- Department of Radiation Oncology, Medical Center, Faculty of Medicine, University of Freiburg, D-79106, Germany
- German Cancer Consortium (DKTK), Partner Site Freiburg, German Cancer Research Center (DKFZ), Heidelberg, D-69120, Germany
| | - Thomas Brunner
- Department of Radiation Oncology, Medical Center, Faculty of Medicine, University of Freiburg, D-79106, Germany
- German Cancer Consortium (DKTK), Partner Site Freiburg, German Cancer Research Center (DKFZ), Heidelberg, D-69120, Germany
| | - Mark Gainey
- Department of Radiation Oncology, Medical Center, Faculty of Medicine, University of Freiburg, D-79106, Germany
- German Cancer Consortium (DKTK), Partner Site Freiburg, German Cancer Research Center (DKFZ), Heidelberg, D-69120, Germany
| | - Dimos Baltas
- Department of Radiation Oncology, Medical Center, Faculty of Medicine, University of Freiburg, D-79106, Germany
- German Cancer Consortium (DKTK), Partner Site Freiburg, German Cancer Research Center (DKFZ), Heidelberg, D-69120, Germany
| | - Mathias Langer
- Department of Radiology, Medical Center, Faculty of Medicine, University of Freiburg, D-79106, Germany
| | - Horst Urbach
- Department of Neuroradiology, Medical Center, Faculty of Medicine, University of Freiburg, D-79106, Germany
| | - Michael Bock
- Department of Radiology – Medical Physics, Department of Radiology, Faculty of Medicine, Medical Center, University of Freiburg, D-79106, Germany
| | - Philipp T Meyer
- German Cancer Consortium (DKTK), Partner Site Freiburg, German Cancer Research Center (DKFZ), Heidelberg, D-69120, Germany
- Department of Nuclear Medicine, Medical Center, Faculty of Medicine, University of Freiburg, D-79106, Germany
| | - Anca-Ligia Grosu
- Department of Radiation Oncology, Medical Center, Faculty of Medicine, University of Freiburg, D-79106, Germany
- German Cancer Consortium (DKTK), Partner Site Freiburg, German Cancer Research Center (DKFZ), Heidelberg, D-69120, Germany
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30
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MacManus M, Everitt S, Schimek-Jasch T, Li XA, Nestle U, Kong FMS. Anatomic, functional and molecular imaging in lung cancer precision radiation therapy: treatment response assessment and radiation therapy personalization. Transl Lung Cancer Res 2017; 6:670-688. [PMID: 29218270 DOI: 10.21037/tlcr.2017.09.05] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
This article reviews key imaging modalities for lung cancer patients treated with radiation therapy (RT) and considers their actual or potential contributions to critical decision-making. An international group of researchers with expertise in imaging in lung cancer patients treated with RT considered the relevant literature on modalities, including computed tomography (CT), magnetic resonance imaging (MRI) and positron emission tomography (PET). These perspectives were coordinated to summarize the current status of imaging in lung cancer and flag developments with future implications. Although there are no useful randomized trials of different imaging modalities in lung cancer, multiple prospective studies indicate that management decisions are frequently impacted by the use of complementary imaging modalities, leading both to more appropriate treatments and better outcomes. This is especially true of 18F-fluoro-deoxyglucose (FDG)-PET/CT which is widely accepted to be the standard imaging modality for staging of lung cancer patients, for selection for potentially curative RT and for treatment planning. PET is also more accurate than CT for predicting survival after RT. PET imaging during RT is also correlated with survival and makes response-adapted therapies possible. PET tracers other than FDG have potential for imaging important biological process in tumors, including hypoxia and proliferation. MRI has superior accuracy in soft tissue imaging and the MRI Linac is a rapidly developing technology with great potential for online monitoring and modification of treatment. The role of imaging in RT-treated lung cancer patients is evolving rapidly and will allow increasing personalization of therapy according to the biology of both the tumor and dose limiting normal tissues.
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Affiliation(s)
- Michael MacManus
- Department of Radiation Oncology, Division of Radiation Oncology and Cancer Imaging, Peter MacCallum Cancer Centre, Melbourne, Australia.,The Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Australia
| | - Sarah Everitt
- Department of Radiation Oncology, Division of Radiation Oncology and Cancer Imaging, Peter MacCallum Cancer Centre, Melbourne, Australia.,The Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Australia
| | - Tanja Schimek-Jasch
- Department of Radiation Oncology, Medical Center, Faculty of Medicine, University of Freiburg, German Cancer Consortium (DKTK) Partner Site Freiburg, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - X Allen Li
- Department of Radiation Oncology, Medical College of Wisconsin, WI, USA
| | - Ursula Nestle
- Department of Radiation Oncology, Medical Center, Faculty of Medicine, University of Freiburg, German Cancer Consortium (DKTK) Partner Site Freiburg, German Cancer Research Center (DKFZ), Heidelberg, Germany.,Department of Radiation Oncology, Kliniken Maria Hilf, Moenchengladbach, Germany
| | - Feng-Ming Spring Kong
- Indiana University Simon Cancer Center, Indiana University School of Medicine, Indianapolis, IN, USA
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31
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Scarsbrook A, Ward G, Murray P, Goody R, Marshall K, McDermott G, Prestwich R, Radhakrishna G. Respiratory-gated (4D) contrast-enhanced FDG PET-CT for radiotherapy planning of lower oesophageal carcinoma: feasibility and impact on planning target volume. BMC Cancer 2017; 17:671. [PMID: 28978306 PMCID: PMC5628433 DOI: 10.1186/s12885-017-3659-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2017] [Accepted: 09/27/2017] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND To assess the feasibility and potential impact on target delineation of respiratory-gated (4D) contrast-enhanced 18Fluorine fluorodeoxyglucose (FDG) positron emission tomography - computed tomography (PET-CT), in the treatment planning position, for a prospective cohort of patients with lower third oesophageal cancer. METHODS Fifteen patients were recruited into the study. Imaging included 4D PET-CT, 3D PET-CT, endoscopic ultrasound and planning 4D CT. Target volume delineation was performed on 4D CT, 4D CT with co-registered 3D PET and 4D PET-CT. Planning target volumes (PTV) generated with 4D CT (PTV4DCT), 4D CT co-registered with 3D PET-CT (PTV3DPET4DCT) and 4D PET-CT (PTV4DPETCT) were compared with multiple positional metrics. RESULTS Mean PTV4DCT, PTV3DPET4DCT and PTV4DPETCT were 582.4 ± 275.1 cm3, 472.5 ± 193.1 cm3 and 480.6 ± 236.9 cm3 respectively (no significant difference). Median DICE similarity coefficients comparing PTV4DCT with PTV3DPET4DCT, PTV4DCT with PTV4DPETCT and PTV3DPET4DCT with PTV4DPETCT were 0.85 (range 0.65-0.9), 0.85 (range 0.69-0.9) and 0.88 (range 0.79-0.9) respectively. The median sensitivity index for overlap comparing PTV4DCT with PTV3DPET4DCT, PTV4DCT with PTV4DPETCT and PTV3DPET4DCT with PTV4DPETCT were 0.78 (range 0.65-0.9), 0.79 (range 0.65-0.9) and 0.89 (range 0.68-0.94) respectively. CONCLUSIONS Planning 4D PET-CT is feasible with careful patient selection. PTV generated using 4D CT, 3D PET-CT and 4D PET-CT were of similar volume, however, overlap analysis demonstrated that approximately 20% of PTV3DPETCT and PTV4DPETCT are not included in PTV4DCT, leading to under-coverage of target volume and a potential geometric miss. Additionally, differences between PTV3DPET4DCT and PTV4DPETCT suggest a potential benefit for 4D PET-CT. TRIAL REGISTRATION ClinicalTrials.gov Identifier - NCT02285660 (Registered 21/10/2014).
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Affiliation(s)
- Andrew Scarsbrook
- Department of Radiology, Leeds Teaching Hospitals NHS Trust, Leeds, UK. .,Department of Nuclear Medicine, Leeds Teaching Hospitals NHS Trust, St James's University Hospital, Level 1, Bexley Wing, Beckett Street, Leeds, LS9 7TF, UK. .,Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK.
| | - Gillian Ward
- Department of Medical Physics and Engineering, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - Patrick Murray
- Department of Clinical Oncology, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - Rebecca Goody
- Department of Clinical Oncology, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - Karen Marshall
- Department of Radiology, Leeds Teaching Hospitals NHS Trust, Leeds, UK.,Department of Nuclear Medicine, Leeds Teaching Hospitals NHS Trust, St James's University Hospital, Level 1, Bexley Wing, Beckett Street, Leeds, LS9 7TF, UK
| | - Garry McDermott
- Department of Nuclear Medicine, Leeds Teaching Hospitals NHS Trust, St James's University Hospital, Level 1, Bexley Wing, Beckett Street, Leeds, LS9 7TF, UK.,Department of Medical Physics and Engineering, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - Robin Prestwich
- Department of Clinical Oncology, Leeds Teaching Hospitals NHS Trust, Leeds, UK
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32
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Zhang Y, Li J, Duan Y, Wang W, Li F, Shao Q, Xu M. Comparison of biological target volume metrics based on FDG PET-CT and 4DCT for primary non-small-cell lung cancer. Oncotarget 2017; 8:79629-79635. [PMID: 29108342 PMCID: PMC5668075 DOI: 10.18632/oncotarget.18917] [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: 11/18/2016] [Accepted: 06/02/2017] [Indexed: 11/25/2022] Open
Abstract
Fluorodeoxyglucose positron emission tomography-computed tomography (PET-CT) and four-dimensional CT (4DCT) are used in several methods for defining the biological target volume (BTV) in primary non-small cell lung cancer (NSCLC). Disagreements between the assessments using these methodologies make the use of BTV for radiotherapy planning controversial. In this study, we compared existing methods with our proposed internal biological target volume (IBTV) metric, derived by combining internal target volume (ITV) and BTV metrics. We defined the IBTV from ITV (IBTVi) or BTV (IBTVb) based on ITV or BTV with symmetrical margin expansion. We detected large differences between IBTV, IBTVi and IBTVb (p < 0.001), but no difference between ITV and BTV. A margin expansion of about 13 mm was necessary for ITV or BTV to encompass > 95% IBTV. The conformity index correlated negatively with IBTV/ITV, IBTV/BTV, IBTVi/ITV, and IBTVb/BTV volume ratios (p < 0.05). VR also increased the margins of IBTVi and IBTVb. Indeed, IBTV was much smaller than IBTVi or IBTVb, suggesting that using IBTV for radiotherapy planning could improve treatment by minimizing the radiation exposure of healthy tissue and organs surrounding tumors.
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Affiliation(s)
- Yingjie Zhang
- Department of Radiation Oncology, Shandong Cancer Hospital Affiliated to Shandong University, Jinan, China.,Shandong Academy of Medical Sciences, Jinan, China
| | - Jianbin Li
- Department of Radiation Oncology, Shandong Cancer Hospital Affiliated to Shandong University, Jinan, China.,Shandong Academy of Medical Sciences, Jinan, China
| | - Yili Duan
- Changqing People's Hospital, Jinan, China
| | - Wei Wang
- Department of Radiation Oncology, Shandong Cancer Hospital Affiliated to Shandong University, Jinan, China.,Shandong Academy of Medical Sciences, Jinan, China
| | - Fengxiang Li
- Department of Radiation Oncology, Shandong Cancer Hospital Affiliated to Shandong University, Jinan, China.,Shandong Academy of Medical Sciences, Jinan, China
| | - Qian Shao
- Department of Radiation Oncology, Shandong Cancer Hospital Affiliated to Shandong University, Jinan, China.,Shandong Academy of Medical Sciences, Jinan, China
| | - Min Xu
- Department of Radiation Oncology, Shandong Cancer Hospital Affiliated to Shandong University, Jinan, China.,Shandong Academy of Medical Sciences, Jinan, China
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Beukinga RJ, Hulshoff JB, van Dijk LV, Muijs CT, Burgerhof JGM, Kats-Ugurlu G, Slart RHJA, Slump CH, Mul VEM, Plukker JTM. Predicting Response to Neoadjuvant Chemoradiotherapy in Esophageal Cancer with Textural Features Derived from Pretreatment 18F-FDG PET/CT Imaging. J Nucl Med 2016; 58:723-729. [PMID: 27738011 DOI: 10.2967/jnumed.116.180299] [Citation(s) in RCA: 50] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2016] [Accepted: 09/19/2016] [Indexed: 12/18/2022] Open
Abstract
Adequate prediction of tumor response to neoadjuvant chemoradiotherapy (nCRT) in esophageal cancer (EC) patients is important in a more personalized treatment. The current best clinical method to predict pathologic complete response is SUVmax in 18F-FDG PET/CT imaging. To improve the prediction of response, we constructed a model to predict complete response to nCRT in EC based on pretreatment clinical parameters and 18F-FDG PET/CT-derived textural features. Methods: From a prospectively maintained single-institution database, we reviewed 97 consecutive patients with locally advanced EC and a pretreatment 18F-FDG PET/CT scan between 2009 and 2015. All patients were treated with nCRT (carboplatin/paclitaxel/41.4 Gy) followed by esophagectomy. We analyzed clinical, geometric, and pretreatment textural features extracted from both 18F-FDG PET and CT. The current most accurate prediction model with SUVmax as a predictor variable was compared with 6 different response prediction models constructed using least absolute shrinkage and selection operator regularized logistic regression. Internal validation was performed to estimate the model's performances. Pathologic response was defined as complete versus incomplete response (Mandard tumor regression grade system 1 vs. 2-5). Results: Pathologic examination revealed 19 (19.6%) complete and 78 (80.4%) incomplete responders. Least absolute shrinkage and selection operator regularization selected the clinical parameters: histologic type and clinical T stage, the 18F-FDG PET-derived textural feature long run low gray level emphasis, and the CT-derived textural feature run percentage. Introducing these variables to a logistic regression analysis showed areas under the receiver-operating-characteristic curve (AUCs) of 0.78 compared with 0.58 in the SUVmax model. The discrimination slopes were 0.17 compared with 0.01, respectively. After internal validation, the AUCs decreased to 0.74 and 0.54, respectively. Conclusion: The predictive values of the constructed models were superior to the standard method (SUVmax). These results can be considered as an initial step in predicting tumor response to nCRT in locally advanced EC. Further research in refining the predictive value of these models is needed to justify omission of surgery.
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Affiliation(s)
- Roelof J Beukinga
- Department of Surgery (Division of Surgical Oncology), University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.,Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.,Department of Biomedical Photonic Imaging, University of Twente, Enschede, The Netherlands
| | - Jan B Hulshoff
- Department of Surgery (Division of Surgical Oncology), University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Lisanne V van Dijk
- Department of Radiation Oncology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Christina T Muijs
- Department of Radiation Oncology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Johannes G M Burgerhof
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Gursah Kats-Ugurlu
- Department of Pathology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands; and
| | - Riemer H J A Slart
- Department of Nuclear Medicine and Molecular Imaging, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.,Department of Biomedical Photonic Imaging, University of Twente, Enschede, The Netherlands
| | - Cornelis H Slump
- MIRA Institute for Biomedical Technology and Technical Medicine, University of Twente, Enschede, The Netherlands
| | - Véronique E M Mul
- Department of Radiation Oncology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - John Th M Plukker
- Department of Surgery (Division of Surgical Oncology), University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
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Sindoni A, Minutoli F, Baldari S, Pergolizzi S. Importance of Respiratory-gated PET/CT in Thoracic Tumors. Radiology 2016; 281:321-3. [DOI: 10.1148/radiol.2016160913] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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Vadalà RE, Santacaterina A, Sindoni A, Platania A, Arcudi A, Ferini G, Mazzei MM, Marletta D, Rifatto C, Risoleti EVI, Severo C, Pontoriero A, Iatì G, Pergolizzi S. Stereotactic body radiotherapy in non-operable lung cancer patients. Clin Transl Oncol 2016; 18:1158-1159. [PMID: 27686231 DOI: 10.1007/s12094-016-1552-7] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2016] [Accepted: 09/19/2016] [Indexed: 11/29/2022]
Affiliation(s)
- R E Vadalà
- Section of Radiological Sciences, Department of Biomedical and Dental Sciences and of Morphological and Functional Images, University of Messina, Via Consolare Valeria 1, 98125, Messina, Italy
| | - A Santacaterina
- Unit of Radiation Oncology, AOOR Papardo-Piemonte, Messina, Italy
| | - A Sindoni
- Section of Radiological Sciences, Department of Biomedical and Dental Sciences and of Morphological and Functional Images, University of Messina, Via Consolare Valeria 1, 98125, Messina, Italy.
| | - A Platania
- Unit of Radiation Oncology, AOOR Papardo-Piemonte, Messina, Italy
| | - A Arcudi
- Section of Radiological Sciences, Department of Biomedical and Dental Sciences and of Morphological and Functional Images, University of Messina, Via Consolare Valeria 1, 98125, Messina, Italy
| | - G Ferini
- Section of Radiological Sciences, Department of Biomedical and Dental Sciences and of Morphological and Functional Images, University of Messina, Via Consolare Valeria 1, 98125, Messina, Italy
| | - M M Mazzei
- Section of Radiological Sciences, Department of Biomedical and Dental Sciences and of Morphological and Functional Images, University of Messina, Via Consolare Valeria 1, 98125, Messina, Italy
| | - D Marletta
- Section of Radiological Sciences, Department of Biomedical and Dental Sciences and of Morphological and Functional Images, University of Messina, Via Consolare Valeria 1, 98125, Messina, Italy
| | - C Rifatto
- Section of Radiological Sciences, Department of Biomedical and Dental Sciences and of Morphological and Functional Images, University of Messina, Via Consolare Valeria 1, 98125, Messina, Italy
| | - E V I Risoleti
- Section of Radiological Sciences, Department of Biomedical and Dental Sciences and of Morphological and Functional Images, University of Messina, Via Consolare Valeria 1, 98125, Messina, Italy
| | - C Severo
- Section of Radiological Sciences, Department of Biomedical and Dental Sciences and of Morphological and Functional Images, University of Messina, Via Consolare Valeria 1, 98125, Messina, Italy
| | - A Pontoriero
- Section of Radiological Sciences, Department of Biomedical and Dental Sciences and of Morphological and Functional Images, University of Messina, Via Consolare Valeria 1, 98125, Messina, Italy
| | - G Iatì
- Section of Radiological Sciences, Department of Biomedical and Dental Sciences and of Morphological and Functional Images, University of Messina, Via Consolare Valeria 1, 98125, Messina, Italy
| | - S Pergolizzi
- Section of Radiological Sciences, Department of Biomedical and Dental Sciences and of Morphological and Functional Images, University of Messina, Via Consolare Valeria 1, 98125, Messina, Italy
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