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Borowiec T, Matkowski R, Cybulska-Stopa B, Kuniej T, Kołodziejczyk A, Dupla D, Maciejczyk A. Baseline cross-sectional imaging of locally advanced high-risk breast cancer facilitates highly customized radiation therapy in surgically inaccessible anatomical areas. Front Oncol 2025; 15:1556122. [PMID: 40115012 PMCID: PMC11923551 DOI: 10.3389/fonc.2025.1556122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2025] [Accepted: 02/05/2025] [Indexed: 03/22/2025] Open
Abstract
Background Routine medical imaging used for preliminary breast cancer workup, such as mammography (MMG) and ultrasound (US), has limited utility for radiation oncologists. We hypothesized that the inclusion of cross-sectional imaging (CT scan or PET-CT) prior to primary systemic therapy (PST) would improve clinical staging accuracy and facilitate customized postoperative radiation therapy planning. Therefore, this study aimed to compare the standard baseline imaging with extended radiological staging. Methods To assess our hypothesis, we performed a prospective, single-center study that included 132 participants who were recruited from October 2015 to March 2020. We quantified the value of cross-sectional imaging compared to those of MMG and US. Descriptive statistics, the Friedman and chi-square tests were performed, and p < 0.05 was considered significant. Results Patients were grouped into two cohorts: the CT scan cohort (n = 87) and the PET-CT cohort (n = 43). A comparison of the value of cross-sectional imaging with those of MMG and US revealed that staging and radiation planning were altered by this additional procedure. The originally determined disease stage changed in 36.8% and 51.2% of cases in the first and second groups, respectively. The consistency between the assessment of involved axillary lymph nodes using imaging (cN) and the postoperative pathology report (pN) were evaluated. In most cases, clinical and pathological evaluation were consistent, with χ2(1) = 18.98; p < 0.001 for CT scan, and χ2(1) = 6.41; p = 0.03 for PET-CT. Conclusions Cross-sectional imaging is recommended for patients with locally advanced high-risk breast cancer. A highly customized radiation therapy, including a dose boost, was administered in nine patients with affected lymph nodes that were surgically inaccessible. This procedure was facilitated by extended radiological staging.
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Affiliation(s)
- Tomasz Borowiec
- Lower Silesian Oncology, Pulmonology and Hematology Center, Wroclaw, Poland
| | - Rafał Matkowski
- Lower Silesian Oncology, Pulmonology and Hematology Center, Wroclaw, Poland
- Department of Oncology, Wroclaw Medical University, Wroclaw, Poland
| | - Bożena Cybulska-Stopa
- Lower Silesian Oncology, Pulmonology and Hematology Center, Wroclaw, Poland
- Department of Hematology and Oncology, Faculty of Medicine, Wroclaw University of Science and Technology, Wrocław, Poland
| | - Tomasz Kuniej
- Lower Silesian Oncology, Pulmonology and Hematology Center, Wroclaw, Poland
| | | | - Dorota Dupla
- Lower Silesian Oncology, Pulmonology and Hematology Center, Wroclaw, Poland
| | - Adam Maciejczyk
- Lower Silesian Oncology, Pulmonology and Hematology Center, Wroclaw, Poland
- Department of Oncology, Wroclaw Medical University, Wroclaw, Poland
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Situ J, Buissink P, Mu A, Chung DKV, Finnegan R, Gamage TPB, Jayathungage Don TD, Walker C, Reynolds HM. An interactive 3D atlas of sentinel lymph nodes in breast cancer developed using SPECT/CT. Cancer Imaging 2024; 24:97. [PMID: 39080795 PMCID: PMC11289966 DOI: 10.1186/s40644-024-00738-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2024] [Accepted: 07/05/2024] [Indexed: 08/02/2024] Open
Abstract
BACKGROUND The identification and assessment of sentinel lymph nodes (SLNs) in breast cancer is important for optimised patient management. The aim of this study was to develop an interactive 3D breast SLN atlas and to perform statistical analyses of lymphatic drainage patterns and tumour prevalence. METHODS A total of 861 early-stage breast cancer patients who underwent preoperative lymphoscintigraphy and SPECT/CT were included. Lymphatic drainage and tumour prevalence statistics were computed using Bayesian inference, non-parametric bootstrapping, and regression techniques. Image registration of SPECT/CT to a reference patient CT was carried out on 350 patients, and SLN positions transformed relative to the reference CT. The reference CT was segmented to visualise bones and muscles, and SLN distributions compared with the European Society for Therapeutic Radiology and Oncology (ESTRO) clinical target volumes (CTVs). The SLN atlas and statistical analyses were integrated into a graphical user interface (GUI). RESULTS Direct lymphatic drainage to the axilla level I (anterior) node field was most common (77.2%), followed by the internal mammary node field (30.4%). Tumour prevalence was highest in the upper outer breast quadrant (22.9%) followed by the retroareolar region (12.8%). The 3D atlas had 765 SLNs from 335 patients, with 33.3-66.7% of axillary SLNs and 25.4% of internal mammary SLNs covered by ESTRO CTVs. CONCLUSION The interactive 3D atlas effectively displays breast SLN distribution and statistics for a large patient cohort. The atlas is freely available to download and is a valuable educational resource that could be used in future to guide treatment.
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Affiliation(s)
- Josephine Situ
- Department of Engineering Science, The University of Auckland, Auckland, New Zealand
| | - Poppy Buissink
- Department of Engineering Science, The University of Auckland, Auckland, New Zealand
| | - Annie Mu
- Auckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand
| | - David K V Chung
- Alfred Nuclear Medicine and Ultrasound, Newtown, NSW, Australia
- Discipline of Child and Adolescent Health, Sydney Medical School, University of Sydney, Camperdown, NSW, Australia
| | - Rob Finnegan
- Northern Sydney Cancer Centre, Royal North Shore Hospital, St Leonards, NSW, Australia
- Institute of Medical Physics, School of Physics, The University of Sydney, Camperdown, NSW, Australia
- Ingham Institute for Applied Medical Research, Liverpool, NSW, Australia
| | | | | | - Cameron Walker
- Department of Engineering Science, The University of Auckland, Auckland, New Zealand
| | - Hayley M Reynolds
- Auckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand.
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3
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François C, Mailliez A, Chretien S, Leguillette C, Oudoux A, Ceugnart L, Barthoulot M, Cougnenc O, Olivier A. Therapeutic impact of 18F-FDG PET/CT for initial staging in patients with clinical stage I and IIA, HER2-positive, or triple-negative breast cancer. Breast Cancer Res Treat 2024:10.1007/s10549-024-07386-8. [PMID: 38837087 DOI: 10.1007/s10549-024-07386-8] [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: 02/23/2024] [Accepted: 05/21/2024] [Indexed: 06/06/2024]
Abstract
PURPOSE While 18F-FDG PET/CT (FDG-PET/CT) is consensual for clinical stage ≥ IIB breast cancers (BC), its benefit for stage I or IIA HER2+ or triple-negative breast cancer (TNBC) patients lacks sufficient evidence. We reported a single-institution, retrospective study evaluating FDG-PET/CT impact on patient management and staging for stage I or IIA HER2+ or Triple-Negative BC. METHODS Patients who underwent FDG-PET/CT staging before any treatment between January 2015 and December 2020 at Oscar Lambret Center were included. EXCLUSIONS patients with symptoms or conventional imaging suggestive of metastatic dissemination, or with prior malignancies. Initial stage was determined from mammography, breast ultrasound, breast MRI, and clinical examination. Staging and therapeutic impact based on FDG-PET/CT findings collected, including intra- (modification of dose/site/strategy in a type of management previously indicated) and inter-modality (modification of planned treatment strategy) changes. RESULTS The cohort included 287 female patients with clinical stage I or IIA, HER2+ , or TNBC. Therapeutic impact observed for 18% of patients (n = 52), with 2% (n = 7) undergoing inter-modality change with omission of planned surgery. The impact on patient management was higher for stage IIA patients (20%, 47/237) than for stage I patients (10%, 5/50). Among stage IIA disease, changes in management were more important for T2N0 patients (22%, 44/205) than for T1N1 patients (9%, 3/32). While not statistically significant, trends suggest usefulness of FDG-PET/CT for T2N0 patients. CONCLUSION Considering substantial therapeutic implications, our study suggests the usefulness of FDG-PET/CT for patients with stage IIA, HER2-positive, or Triple-Negative BC with tumor size > 2 cm (T2N0).
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Affiliation(s)
- Chloé François
- Department of Nuclear Medicine, Centre Oscar Lambret, 3 rue Combemale, 59020, Lille Cedex, France.
| | - Audrey Mailliez
- Department of Medical Oncology, Centre Oscar Lambret, Lille, France
| | | | | | - Aurore Oudoux
- Department of Nuclear Medicine, Centre Oscar Lambret, 3 rue Combemale, 59020, Lille Cedex, France
| | - Luc Ceugnart
- Department of Radiology, Centre Oscar Lambret, Lille, France
| | - Maël Barthoulot
- Methodology and Biostatistic Unit, Centre Oscar Lambret, Lille, France
| | - Olivier Cougnenc
- Department of Clinical Pharmacy, Centre Oscar Lambret, Lille, France
| | - Anaïs Olivier
- Department of Nuclear Medicine, Centre Oscar Lambret, 3 rue Combemale, 59020, Lille Cedex, France
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Alhassan AM. An improved breast cancer classification with hybrid chaotic sand cat and Remora Optimization feature selection algorithm. PLoS One 2024; 19:e0300622. [PMID: 38603682 PMCID: PMC11008855 DOI: 10.1371/journal.pone.0300622] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Accepted: 03/03/2024] [Indexed: 04/13/2024] Open
Abstract
Breast cancer is one of the most often diagnosed cancers in women, and identifying breast cancer histological images is an essential challenge in automated pathology analysis. According to research, the global BrC is around 12% of all cancer cases. Furthermore, around 25% of women suffer from BrC. Consequently, the prediction of BrC depends critically on the quick and precise processing of imaging data. The primary reason deep learning models are used in breast cancer detection is that they can produce findings more quickly and accurately than current machine learning-based techniques. Using a BreakHis dataset, we demonstrated in this work the viability of automatically identifying and classifying BrC. The first stage is pre-processing, which employs an Adaptive Switching Modified Decision Based Unsymmetrical Trimmed Median Filter (ASMDBUTMF) to remove high-density noise. After the image has been pre-processed, it is segmented using the Thresholding Level set approach. Next, we propose a hybrid chaotic sand cat optimization technique, together with the Remora Optimization Algorithm (ROA) for feature selection. The suggested strategy facilitates the acquisition of precise functionality attributes, hence simplifying the detection procedure. Additionally, it aids in resolving problems pertaining to global optimization. Following the selection, the best characteristics proceed to the categorization procedure. A DL classifier called the Conditional Variation Autoencoder is used to discriminate between cancerous and benign tumors while categorizing them. Consequently, a classification accuracy of 99.4%, Precision of 99.2%, Recall of 99.1%, F- score of 99%, Specificity of 99.14%, FDR of 0.54, FNR of 0.001, FPR of 0.002, MCC of 0.98 and NPV of 0.99 were obtained using the proposed approach. Furthermore, compared to other research using the current BreakHis dataset, the results of our research are more desirable.
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Affiliation(s)
- Afnan M. Alhassan
- College of Computing and Information Technology, Shaqra University, Shaqra, Saudi Arabia
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5
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Zhang L, Mei X, Hu Z, Yu B, Zhang C, Li Y, Liu K, Ma X, Ma J, Chen X, Meng J, Shi W, Wang X, Mo M, Shao Z, Zhang Z, Yu X, Guo X, Yang Z. Adjuvant medial versus entire supraclavicular lymph node irradiation in high-risk early breast cancer (SUCLANODE): a protocol for a multicenter, randomized, open-label, phase 3 trial. BMC Cancer 2024; 24:49. [PMID: 38195438 PMCID: PMC10775440 DOI: 10.1186/s12885-024-11831-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2023] [Accepted: 01/03/2024] [Indexed: 01/11/2024] Open
Abstract
BACKGROUND Supraclavicular nodal (SCL) irradiation is commonly used for patients with high-risk breast cancer after breast surgery. The Radiation Therapy Oncology Group (RTOG) and European Society for Radiotherapy and Oncology (ESTRO) breast contouring atlases delineate the medial part of the SCL region, while excluding the posterolateral part. However, recent studies have found that a substantial proportion of SCL failures are located in the posterolateral SCL region, outside of the RTOG/ESTRO-defined SCL target volumes. Consequently, many radiation oncologists advocate for enlarging the SCL irradiation target volume to include both the medial and posterolateral SCL regions. Nevertheless, it remains uncertain whether adding the posterolateral SCL irradiation improves survival outcomes for high-risk breast cancer patients. METHODS The SUCLANODE trial is an open-label, multicenter, randomized, phase 3 trial comparing the efficacy and adverse events of medial SCL irradiation (M-SCLI group) and medial plus posterolateral SCL irradiation (entire SCL irradiation, E-SCLI group) in high-risk breast cancer patients who underwent breast conserving-surgery or mastectomy. Patients with pathological N2-3b disease following initial surgery, or clinical stage III or pathological N1-3b if receiving neoadjuvant systemic therapy, are eligible and randomly assigned (1:1) to M-SCLI group and E-SCLI group. Stratification is by chemotherapy sequence (neoadjuvant vs. adjuvant), T stage (T3-4 vs. T1-2), N stage (N1-2 vs. N3), and ER status (positive vs. negative). Other radiation volumes are identical in the two arms, including breast/chest wall, undissected axillary lymph node, and internal mammary node. Advanced intensity modulated radiation therapy (IMRT), volumetric modulated arc therapy (VMAT), or tomotherapy techniques are recommended. Both hypofractionated and conventional fractionation schedules are permitted. The primary end point is invasive disease-free survival, and secondary end points included overall survival, SCL recurrence, local-regional recurrence, distance recurrence, safety outcome, and patient-reported outcomes. The target sample size is 1650 participants. DISCUSSION The results of the SUCLANODE trial will provide high-level evidence regarding whether adding posterolateral SCL irradiation to medial SCL target volume provides survival benefit in patients with high-risk breast cancer. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT05059379. Registered 28 September 2021, https://www. CLINICALTRIALS gov/ct2/show/NCT05059379 .
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Affiliation(s)
- Li Zhang
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, 270 Dong-An Road, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
- Shanghai Key Laboratory of Radiation Oncology, Shanghai, 200032, China
| | - Xin Mei
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, 270 Dong-An Road, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
- Shanghai Key Laboratory of Radiation Oncology, Shanghai, 200032, China
| | - Zhigang Hu
- Department of Radiation Oncology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230001, China
| | - Bo Yu
- Department of Radiotherapy, the Affiliated Jiangyin Hospital of Nantong University, Jiangyin, 214400, China
| | - Chaoyang Zhang
- Department of Radiation Oncology, The First Hospital of Quanzhou Affiliated to Fujian Medical University, Fuzhou, China
| | - Yong Li
- Department of Oncology, Guizhou Provincial People's Hospital, Guiyang, China
| | - Kaitai Liu
- Department of Radiation Oncology, The Affiliated Lihuili Hospital of Ningbo University, Ningbo, Zhejiang, 315040, China
| | - Xuejun Ma
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, 270 Dong-An Road, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
- Shanghai Key Laboratory of Radiation Oncology, Shanghai, 200032, China
| | - Jinli Ma
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, 270 Dong-An Road, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
- Shanghai Key Laboratory of Radiation Oncology, Shanghai, 200032, China
| | - Xingxing Chen
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, 270 Dong-An Road, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
- Shanghai Key Laboratory of Radiation Oncology, Shanghai, 200032, China
| | - Jin Meng
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, 270 Dong-An Road, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
- Shanghai Key Laboratory of Radiation Oncology, Shanghai, 200032, China
| | - Wei Shi
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, 270 Dong-An Road, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
- Shanghai Key Laboratory of Radiation Oncology, Shanghai, 200032, China
| | - Xiaofang Wang
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, 270 Dong-An Road, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
- Shanghai Key Laboratory of Radiation Oncology, Shanghai, 200032, China
| | - Miao Mo
- Department of Cancer Prevention & Clinical Statistics Center, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
| | - Zhimin Shao
- Department of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
- Key Laboratory of Breast Cancer in Shanghai, Fudan University Shanghai Cancer Center, Shanghai, 200032, China
| | - Zhen Zhang
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, 270 Dong-An Road, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
- Shanghai Key Laboratory of Radiation Oncology, Shanghai, 200032, China
| | - Xiaoli Yu
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, 270 Dong-An Road, Shanghai, 200032, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China
- Shanghai Key Laboratory of Radiation Oncology, Shanghai, 200032, China
| | - Xiaomao Guo
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, 270 Dong-An Road, Shanghai, 200032, China.
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China.
- Shanghai Key Laboratory of Radiation Oncology, Shanghai, 200032, China.
| | - Zhaozhi Yang
- Department of Radiation Oncology, Fudan University Shanghai Cancer Center, 270 Dong-An Road, Shanghai, 200032, China.
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China.
- Shanghai Key Laboratory of Radiation Oncology, Shanghai, 200032, China.
- Department of Medical Oncology, Kashgar Prefecture Second People ' s Hospital, Xinjiang Uyghur Autonomous Region, Kashgar, 844000, China.
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Fallahpoor M, Chakraborty S, Pradhan B, Faust O, Barua PD, Chegeni H, Acharya R. Deep learning techniques in PET/CT imaging: A comprehensive review from sinogram to image space. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2024; 243:107880. [PMID: 37924769 DOI: 10.1016/j.cmpb.2023.107880] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 10/16/2023] [Accepted: 10/21/2023] [Indexed: 11/06/2023]
Abstract
Positron emission tomography/computed tomography (PET/CT) is increasingly used in oncology, neurology, cardiology, and emerging medical fields. The success stems from the cohesive information that hybrid PET/CT imaging offers, surpassing the capabilities of individual modalities when used in isolation for different malignancies. However, manual image interpretation requires extensive disease-specific knowledge, and it is a time-consuming aspect of physicians' daily routines. Deep learning algorithms, akin to a practitioner during training, extract knowledge from images to facilitate the diagnosis process by detecting symptoms and enhancing images. This acquired knowledge aids in supporting the diagnosis process through symptom detection and image enhancement. The available review papers on PET/CT imaging have a drawback as they either included additional modalities or examined various types of AI applications. However, there has been a lack of comprehensive investigation specifically focused on the highly specific use of AI, and deep learning, on PET/CT images. This review aims to fill that gap by investigating the characteristics of approaches used in papers that employed deep learning for PET/CT imaging. Within the review, we identified 99 studies published between 2017 and 2022 that applied deep learning to PET/CT images. We also identified the best pre-processing algorithms and the most effective deep learning models reported for PET/CT while highlighting the current limitations. Our review underscores the potential of deep learning (DL) in PET/CT imaging, with successful applications in lesion detection, tumor segmentation, and disease classification in both sinogram and image spaces. Common and specific pre-processing techniques are also discussed. DL algorithms excel at extracting meaningful features, and enhancing accuracy and efficiency in diagnosis. However, limitations arise from the scarcity of annotated datasets and challenges in explainability and uncertainty. Recent DL models, such as attention-based models, generative models, multi-modal models, graph convolutional networks, and transformers, are promising for improving PET/CT studies. Additionally, radiomics has garnered attention for tumor classification and predicting patient outcomes. Ongoing research is crucial to explore new applications and improve the accuracy of DL models in this rapidly evolving field.
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Affiliation(s)
- Maryam Fallahpoor
- Centre for Advanced Modelling and Geospatial Information Systems (CAMGIS), School of Civil and Environmental Engineering, University of Technology Sydney, Ultimo, NSW 2007, Australia
| | - Subrata Chakraborty
- Centre for Advanced Modelling and Geospatial Information Systems (CAMGIS), School of Civil and Environmental Engineering, University of Technology Sydney, Ultimo, NSW 2007, Australia; School of Science and Technology, Faculty of Science, Agriculture, Business and Law, University of New England, Armidale, NSW 2351, Australia
| | - Biswajeet Pradhan
- Centre for Advanced Modelling and Geospatial Information Systems (CAMGIS), School of Civil and Environmental Engineering, University of Technology Sydney, Ultimo, NSW 2007, Australia; Earth Observation Centre, Institute of Climate Change, Universiti Kebangsaan Malaysia, Bangi 43600, Malaysia.
| | - Oliver Faust
- School of Computing and Information Science, Anglia Ruskin University Cambridge Campus, United Kingdom
| | - Prabal Datta Barua
- School of Science and Technology, Faculty of Science, Agriculture, Business and Law, University of New England, Armidale, NSW 2351, Australia; Faculty of Engineering and Information Technology, University of Technology Sydney, Australia; School of Business (Information Systems), Faculty of Business, Education, Law & Arts, University of Southern Queensland, Australia
| | | | - Rajendra Acharya
- School of Mathematics, Physics and Computing, University of Southern Queensland, Toowoomba, QLD, Australia
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FitzGerald TJ, Bishop-Jodoin M, Laurie F, Iandoli M, Smith K, Ulin K, Ding L, Moni J, Cicchetti MG, Knopp M, Kry S, Xiao Y, Rosen M, Prior F, Saltz J, Michalski J. The Importance of Quality Assurance in Radiation Oncology Clinical Trials. Semin Radiat Oncol 2023; 33:395-406. [PMID: 37684069 DOI: 10.1016/j.semradonc.2023.06.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/10/2023]
Abstract
Clinical trials have been the center of progress in modern medicine. In oncology, we are fortunate to have a structure in place through the National Clinical Trials Network (NCTN). The NCTN provides the infrastructure and a forum for scientific discussion to develop clinical concepts for trial design. The NCTN also provides a network group structure to administer trials for successful trial management and outcome analyses. There are many important aspects to trial design and conduct. Modern trials need to ensure appropriate trial conduct and secure data management processes. Of equal importance is the quality assurance of a clinical trial. If progress is to be made in oncology clinical medicine, investigators and patient care providers of service need to feel secure that trial data is complete, accurate, and well-controlled in order to be confident in trial analysis and move trial outcome results into daily practice. As our technology has matured, so has our need to apply technology in a uniform manner for appropriate interpretation of trial outcomes. In this article, we review the importance of quality assurance in clinical trials involving radiation therapy. We will include important aspects of institution and investigator credentialing for participation as well as ongoing processes to ensure that each trial is being managed in a compliant manner. We will provide examples of the importance of complete datasets to ensure study interpretation. We will describe how successful strategies for quality assurance in the past will support new initiatives moving forward.
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Affiliation(s)
- Thomas J FitzGerald
- Department of Radiation Oncology, UMass Chan Medical School, Worcester, MA..
| | | | - Fran Laurie
- Department of Radiation Oncology, UMass Chan Medical School, Worcester, MA
| | - Matthew Iandoli
- Department of Radiation Oncology, UMass Chan Medical School, Worcester, MA
| | - Koren Smith
- Department of Radiation Oncology, UMass Chan Medical School, Worcester, MA
| | - Kenneth Ulin
- Department of Radiation Oncology, UMass Chan Medical School, Worcester, MA
| | - Linda Ding
- Department of Radiation Oncology, UMass Chan Medical School, Worcester, MA
| | - Janaki Moni
- Department of Radiation Oncology, UMass Chan Medical School, Worcester, MA
| | - M Giulia Cicchetti
- Department of Radiation Oncology, UMass Chan Medical School, Worcester, MA
| | - Michael Knopp
- Department of Radiology, University of Cincinnati, Cincinnati, OH
| | - Stephen Kry
- Department of Radiation Physics, MD Anderson Cancer Center, Houston, TX
| | - Ying Xiao
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA
| | - Mark Rosen
- Department of Radiation Oncology, University of Pennsylvania, Philadelphia, PA
| | - Fred Prior
- Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, AR
| | - Joel Saltz
- Department of Biomedical Informatics, Stony Brook University, Stony Brook, NY
| | - Jeff Michalski
- Department of Radiation Oncology, Washington University in St Louis, St Louis, MO
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8
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Groheux D. Breast Cancer Systemic Staging (Comparison of Computed Tomography, Bone Scan, and 18F-Fluorodeoxyglucose PET/Computed Tomography). PET Clin 2023; 18:503-515. [PMID: 37268506 DOI: 10.1016/j.cpet.2023.04.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
After an overview of the principles of bone scintigraphy, contrast-enhanced computed tomography (CE-CT) and 18F-fluorodeoxyglucose (FDG)-PET/CT, the advantages and limits of these modalities in the staging of breast cancer are discussed in this paper. CT and PET/CT are not optimal for delineating primary tumor volume, and PET is less efficient than the sentinel node biopsy to depict small axillary lymph node metastases. In large breast cancer tumor, FDG PET/CT is useful to show extra-axillary lymph nodes. FDG PET/CT is superior to bone scan and CE-CT in detecting distant metastases, and it results in a change of treatment plan in nearly 15% of patients.
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Affiliation(s)
- David Groheux
- Department of Nuclear Medicine, Saint-Louis Hospital, Paris, France; University Paris-Diderot, INSERM U976, HIPI, Paris, France; Centre d'Imagerie Radio-isotopique, La Rochelle, France.
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9
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Vaz SC, Oliveira C, Teixeira R, Arias-Bouda LMP, Cardoso MJ, de Geus-Oei LF. The current role of nuclear medicine in breast cancer. Br J Radiol 2023; 96:20221153. [PMID: 37097285 PMCID: PMC10461286 DOI: 10.1259/bjr.20221153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 02/24/2023] [Accepted: 02/27/2023] [Indexed: 04/26/2023] Open
Abstract
Breast cancer is the most common cancer in females worldwide. Nuclear medicine plays an important role in patient management, not only in initial staging, but also during follow-up. Radiopharmaceuticals to study breast cancer have been used for over 50 years, and several of these are still used in clinical practice, according to the most recent guideline recommendations.In this critical review, an overview of nuclear medicine procedures used during the last decades is presented. Current clinical indications of each of the conventional nuclear medicine and PET/CT examinations are the focus of this review, and are objectively provided. Radionuclide therapies are also referred, mainly summarising the methods to palliate metastatic bone pain. Finally, recent developments and future perspectives in the field of nuclear medicine are discussed. In this context, the promising potential of new radiopharmaceuticals not only for diagnosis, but also for therapy, and the use of quantitative imaging features as potential biomarkers, are addressed.Despite the long way nuclear medicine has gone through, it looks like it will continue to benefit clinical practice, paving the way to improve healthcare provided to patients with breast cancer.
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Affiliation(s)
| | - Carla Oliveira
- Nuclear Medicine-Radiopharmacology, Champalimaud Clinical Center, Champalimaud Foundation, Lisbon, Portugal
| | - Ricardo Teixeira
- Nuclear Medicine-Radiopharmacology, Champalimaud Clinical Center, Champalimaud Foundation, Lisbon, Portugal
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Jing H, Tang Y, Wang ZZ, Wei R, Jin JY, Li J, Zhao LY, Jin J, Liu YP, Song YW, Fang H, Chen B, Qi SN, Lu NN, Tang Y, Li N, Zhai YR, Zhang WW, Wang SL, Li YX. Individualized Clinical Target Volume for Irradiation of the Supraclavicular Region in Breast Cancer Based on Mapping of the Involved Ipsilateral Supraclavicular Lymph Nodes. Int J Radiat Oncol Biol Phys 2023; 115:922-932. [PMID: 36368434 DOI: 10.1016/j.ijrobp.2022.10.030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 10/12/2022] [Accepted: 10/26/2022] [Indexed: 11/10/2022]
Abstract
PURPOSE To map supraclavicular fossa-involved lymph nodes (SCF-LNs) in patients with nonmetastatic breast cancer, evaluate the coverage of widely adopted atlases, and propose modified borders for individualized regional irradiation. METHODS AND MATERIALS M0 patients with biopsy-proven SCF-LNs who were SCF treatment-naïve were included. The SCF was spatially divided into subregions, with each node mapped on the original images. The geographic misses after the borders of multiple atlases were evaluated and factors affecting SCF-LNs' spread pattern were analyzed. RESULTS From 1998 to 2022, 209 patients with 1242 SCF-LNs were eligible. Patients had a median of 4 nodes. At least 537 nodes (43.2%) in 147 patients (70.3%) were lateral to the sternocleidomastoid muscle (SCM), and 403 nodes (32.4%) in 127 patients (60.8%) were dorsal to the anterior scalene muscle (ASM). In the 88 patients with ≤3 SCF-LNs, at least 66 nodes (39.1%) in 40 patients (45.5%) were lateral to the SCM, and 34 nodes (20.1%) in 29 patients (33.0%) were dorsal to the ASM. These nodes were not covered by the Radiation Therapy Oncology Group (RTOG) atlas and partly within the Radiotherapy Comparative Effectiveness atlas. One hundred four patients (49.8%) had 432 SCF-LNs (34.8%) beyond the upper border of the European Society for Radiotherapy and Oncology (ESTRO) atlas. In multivariate regression, nodal sizes were associated with wider spread in the primary group. Being triple-negative (TN) subtype was associated with less spread in the recurrent group. Situation-based clinical target volumes (CTVs) were theorized, in which for a sequential spread, the posterior border could be the posterior scalene muscle or even be more constringent; otherwise, it should touch the anterior trapezius surface. CONCLUSIONS SCF-LNs tend to spread laterally and dorsally beyond the RTOG borders, even in M0 stages with ≤3 SCF-LNs. The ESTRO upper border does not guarantee coverage with multiple SCF-LNs. Nodal burden and non-TN types are predictive of wider dissemination. A situation-based CTV is possibly feasible. Deciphering the SCF-LN spread route is needed.
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Affiliation(s)
- Hao Jing
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yu Tang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China; Clinical Trials Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zong-Zhan Wang
- Department of Radiation Oncology, Qingdao Central Hospital, Qing Dao, Shan Dong, China
| | - Ran Wei
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jing-Yi Jin
- Department of Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jing Li
- Department of Radiation Oncology, Beijng Hospital, Beijing, China
| | - Li-Yun Zhao
- Department of Radiation Oncology, Beijng Hospital, Beijing, China
| | - Jing Jin
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yue-Ping Liu
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yong-Wen Song
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Hui Fang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Bo Chen
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Shu-Nan Qi
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ning-Ning Lu
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yuan Tang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ning Li
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yi-Rui Zhai
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Wen-Wen Zhang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Shu-Lian Wang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
| | - Ye-Xiong Li
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
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11
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Risk-Adapted Target Delineation for Breast Cancer: Controversies and Considerations. Pract Radiat Oncol 2023; 13:e115-e120. [PMID: 36748210 DOI: 10.1016/j.prro.2022.10.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Revised: 10/13/2022] [Accepted: 10/17/2022] [Indexed: 12/13/2022]
Abstract
The advent of computed tomography-based planning coupled with modern tools for target delineation and hypofractionated treatment schedules has increased efficiency and throughput for patients with breast cancer. While the benefit of adjuvant radiation therapy (RT) in reducing locoregional recurrences is established, disentangling local versus regional recurrence risks with modern treatment protocols has become an area of active research to de-escalate treatment. Delineation guidelines for nodal regions either attempt to replicate results of conventional RT techniques by translating bony landmarks to clinical target volumes or use landmarks based on the fact that lymphatic channels run along the vasculature. Because direct comparisons of both approaches are implausible, mapping studies of nodal recurrences have reported on the proportion of nodes included in these delineation guidelines, and larger, bony, landmark-based guidelines appear intuitively appealing for patients with unfavorable risk factors. A pooled analysis of these studies is reported here, along with literature supporting the exclusion of the true chest wall from postmastectomy/breast-conserving surgery clinical target volumes and the selective (versus routine) use of bolus during postmastectomy RT. The risk-adapted approach suggested here accounts for the risk of recurrence as well as toxicity and endorses nuanced target volume delineation rather than a one-size-fits-all approach.
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12
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Zhang-Yin J. State of the Art in 2022 PET/CT in Breast Cancer: A Review. J Clin Med 2023; 12:968. [PMID: 36769616 PMCID: PMC9917740 DOI: 10.3390/jcm12030968] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Revised: 01/18/2023] [Accepted: 01/24/2023] [Indexed: 02/01/2023] Open
Abstract
Molecular imaging with positron emission tomography is a powerful and well-established tool in breast cancer management. In this review, we aim to address the current place of the main PET radiopharmaceuticals in breast cancer care and offer perspectives on potential future radiopharmaceutical and technological advancements. A special focus is given to the following: the role of 18F-fluorodeoxyglucose positron emission tomography in the clinical management of breast cancer patients, especially during staging; detection of recurrence and evaluation of treatment response; the role of 16α-18Ffluoro-17β-oestradiol positron emission tomography in oestrogen receptors positive breast cancer; the promising radiopharmaceuticals, such as 89Zr-trastuzumab and 68Ga- or 18F-labeled fibroblast activation protein inhibitor; and the application of artificial intelligence.
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Affiliation(s)
- Jules Zhang-Yin
- Department of Nuclear Medicine, Clinique Sud Luxembourg, Vivalia, B-6700 Arlon, Belgium
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13
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Vogel MME, Düsberg M, Stöhrer L, Dewes S, Sage EK, Borm KJ, Gschwend JE, Eiber M, Combs SE, Schiller K. Prostate-specific Membrane Antigen Positron Emission Tomography/Computed Tomography-based Lymph Node Atlas for Salvage Radiotherapy in Patients with Recurrent Prostate Cancer: A Validation of the New NRG Oncology 2020 guideline. Eur Urol Oncol 2022; 5:668-676. [PMID: 36280446 DOI: 10.1016/j.euo.2022.09.006] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Revised: 09/07/2022] [Accepted: 09/30/2022] [Indexed: 01/26/2023]
Abstract
BACKGROUND Approximately 20-40% of patients with prostate cancer (PC) who undergo radical prostatectomy (RP) experience relapse, with the majority of these cases developing pelvic lymph node (LN) metastases. Taking new data from the prostate-specific membrane antigen (PSMA) positron emission tomography (PET) era into account, the Radiation Therapy Oncology Group (RTOG) 2009 contouring guideline for the pelvic LNs from 2009 was updated by the NRG Oncology group in 2020 (NRG 2020). OBJECTIVE To evaluate and validate the updated NRG 2020 guideline with our established LN atlas. DESIGN, SETTING, AND PARTICIPANTS We screened 1653 PSMA PET/computed tomography (CT) data sets for patients with biochemical relapse who underwent a PET scan between November 2012 and November 2017. After screening, we developed an LN atlas using data from 233 patients. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS We evaluated LN overlap (OL) with the RTOG 2009 and NRG 2020 contouring guidelines. OL was defined as within (>90%), partly within (10-90%), or outside (<10%). RESULTS AND LIMITATIONS In comparison to the RTOG 2009 guideline, 403 (52%), 134 (17%), and 241 (31%) of the LNs were not, were partly, or were fully covered within the overall group, respectively. By contrast, using the NRG 2020 guideline, 302 (39%), 190 (24%), and 286 (37%) of the LNs were not, were partly, or were fully covered, respectively (p < 0.001). Limitations include the retrospective design with missing data and no histopathological confirmation of the PET results. CONCLUSIONS The updated NRG 2020 contouring guideline improves coverage of the pelvic LNs in patients undergoing salvage radiation therapy. However, PET/CT should be considered whenever possible to ensure coverage of untypical LN spread. PATIENT SUMMARY We compared the 2009 and 2020 guidelines on the radiation area for the pelvis for patients with recurrent prostate cancer that has spread to lymph nodes. The newer guideline provides better coverage of pelvic lymph nodes than the older one and is useful in planning radiation therapy. However, a scan of the pelvis using the newest technique should be considered for individual patients to ensure coverage of untypical lymph nodes.
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Affiliation(s)
- Marco M E Vogel
- Department of Radiation Oncology, Klinikum rechts der Isar, Technical University of Munich (TUM), Munich, Germany.
| | - Mathias Düsberg
- Department of Radiation Oncology, Klinikum rechts der Isar, Technical University of Munich (TUM), Munich, Germany
| | - Lucia Stöhrer
- Department of Radiation Oncology, Klinikum rechts der Isar, Technical University of Munich (TUM), Munich, Germany
| | - Sabrina Dewes
- Department of Radiation Oncology, Klinikum rechts der Isar, Technical University of Munich (TUM), Munich, Germany
| | - Eva K Sage
- Department of Radiation Oncology, Klinikum rechts der Isar, Technical University of Munich (TUM), Munich, Germany
| | - Kai J Borm
- Department of Radiation Oncology, Klinikum rechts der Isar, Technical University of Munich (TUM), Munich, Germany
| | - Jürgen E Gschwend
- Department of Urology, Klinikum rechts der Isar, Technical University of Munich (TUM), Munich, Germany
| | - Matthias Eiber
- Department of Nuclear Medicine, Klinikum rechts der Isar, Technical University of Munich (TUM), Munich, Germany
| | - Stephanie E Combs
- Department of Radiation Oncology, Klinikum rechts der Isar, Technical University of Munich (TUM), Munich, Germany; Institute for Radiation Medicine, Department of Radiation Sciences, Helmholtz Zentrum München, Neuherberg, Germany; Deutsches Konsortium für Translationale Krebsforschung, Munich Partner Site, Munich, Germany
| | - Kilian Schiller
- Department of Radiation Oncology, Klinikum rechts der Isar, Technical University of Munich (TUM), Munich, Germany
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14
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Zhang M, Cao L, Chen J, Li B, Huang X, Cai G, Xu C. Mapping of PET/CT-based regional nodes distribution of recurrent/advanced breast cancer and comparison with current delineation atlas. Br J Radiol 2022; 95:20220382. [PMID: 35731844 PMCID: PMC10996945 DOI: 10.1259/bjr.20220382] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Revised: 05/29/2022] [Accepted: 06/14/2022] [Indexed: 11/05/2022] Open
Abstract
OBJECTIVE To localize the distribution of regional nodes in recurrent/advanced breast cancer patients based on 18-fludeoxyglucose (FDG) positron emission tomography/CT (PET/CT) images and validate the coverage of clinical target volumes (CTVs) for regional nodes with current contouring guidelines. METHODS We enrolled 154 recurrent/advanced breast cancer patients with FDG-avid regional nodes who underwent PET/CT between January 2018 and June 2020. Involvement of lymph node regions including axillary lymph node level I-III (ALN-I, ALN-II, ALN-III), Rotter's nodes (RN), medial supraclavicular (SC-M), lateral supraclavicular (SC-L) and internal mammary nodes (IMN) was recorded respectively. Coverage of the CTVs in different atlases and the locations of out-of-field were evaluated. RESULTS A total of 348 lymph node regions containing disease were identified, including ALN-I 109, ALN-II 46, ALN-III 36, RN 17, SC-M 68, SC-L 36 and IMN 36. Recurrent ALNs mainly located cranially and ventrally to the axillary vein (AV). Ipsilateral cervical nodes were simultaneously affected in 33/76 SC positive patients. RADCOMP (306/348) and RUIJIN (291/348) guidelines had higher coverage compared with RTOG (205/348) and ESTRO (202/348) guidelines (p < 0.001, respectively). In primary non-metastastic and recurrent patients, major missings located in SC-L (7/7, 17/17) and IMN (7/10, 15/19) for RTOG guideline while SC-L (7/7, 17/17) for ESTRO guideline (p < 0.001, respectively). Among recurrent patients, SC-M (22/31) was another major missing area for ESTRO guideline (p < 0.001). CONCLUSION The current guidelines effectively cover most regional nodes in postoperative breast cancer patients. SC-L and IMN were the major missing regions. Recurrent ALNs were most often seen in cranial and ventral to the AV. The CTV of patients with clinically positive SC was recommended to extend up to the hyoid level. The CTVs should be adjusted based on risks of recurrence individually. ADVANCES IN KNOWLEDGE The difference of regional nodes delineation between current guidelines mainly located in SC and IMN regions. High axilla including subclavicular nodes and the RN above AV for recurrent patients and the region between cricoid and hyoid for positive SC patients should be meticulously contoured.
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Affiliation(s)
- Maochen Zhang
- Department of Radiation Oncology, Ruijin Hospital, Shanghai
Jiao Tong University, School of Medicine,
Shanghai, China
| | - Lu Cao
- Department of Radiation Oncology, Ruijin Hospital, Shanghai
Jiao Tong University, School of Medicine,
Shanghai, China
| | - Jiayi Chen
- Department of Radiation Oncology, Ruijin Hospital, Shanghai
Jiao Tong University, School of Medicine,
Shanghai, China
| | - Biao Li
- Department of Nuclear Medicine, Ruijin Hospital, Shanghai Jiao
Tong University, School of Medicine,
Shanghai, China
| | - Xinyun Huang
- Department of Nuclear Medicine, Ruijin Hospital, Shanghai Jiao
Tong University, School of Medicine,
Shanghai, China
| | - Gang Cai
- Department of Radiation Oncology, Ruijin Hospital, Shanghai
Jiao Tong University, School of Medicine,
Shanghai, China
| | - Cheng Xu
- Department of Radiation Oncology, Ruijin Hospital, Shanghai
Jiao Tong University, School of Medicine,
Shanghai, China
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15
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Bazan JG, Khan AJ. Target Volume Delineation and Patterns of Recurrence in the Modern Era. Semin Radiat Oncol 2022; 32:254-269. [DOI: 10.1016/j.semradonc.2022.01.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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16
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Wang W, Qiu P, Li J. Internal mammary lymph node metastasis in breast cancer patients based on anatomical imaging and functional imaging. Breast Cancer 2022; 29:933-944. [PMID: 35750935 DOI: 10.1007/s12282-022-01377-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Accepted: 05/29/2022] [Indexed: 11/30/2022]
Abstract
Internal mammary lymph node (IMLN) metastasis forms part of the clinical node classification for primary breast cancer, which influences the treatment strategy. However, because of the IMLNs' complicated anatomical structures and relationships with adjacent structures, IMLN biopsy or resection is associated with a limited improvement in prognosis and a high complication rate. The positivity rate also varies broadly according to imaging modality, and there is a low rate of agreement between the imaging and pathological diagnoses, which creates imprecision in the preoperative staging. The IMLN positivity rate also varies remarkably, and there are no clear, accurate, and non-invasive modalities for diagnosing the pre-mastectomy IMLN status. Nevertheless, medical imaging modalities continue to evolve, with functional imaging and image-guided thoracoscopic biopsy of sentinel IMLNs being well established. Thus, personalized decision-making and treatment selection should be based on the modality-specific differences in the diagnosis of IMLN metastasis/recurrence and the patient's specific risk factors.
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Affiliation(s)
- Wei Wang
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, 440 Jiyan Road, Jinan, 250117, China
| | - Pengfei Qiu
- Breast Cancer Center, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250117, Shandong Province, China
| | - Jianbin Li
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, 440 Jiyan Road, Jinan, 250117, China.
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17
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Groheux D. FDG-PET/CT for Primary Staging and Detection of Recurrence of Breast Cancer. Semin Nucl Med 2022; 52:508-519. [PMID: 35636977 DOI: 10.1053/j.semnuclmed.2022.05.001] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Accepted: 05/04/2022] [Indexed: 12/22/2022]
Abstract
Breast cancer is the most frequent cancer diagnosed in women worldwide. Accurate baseline staging is necessary to plan optimal breast cancer management. Early detection and staging of recurrence are also essential for optimal therapeutic management. Hybrid FDG-PET/CT imaging offers high sensitivity in detecting extra axillary lymph nodes and distant metastases. Although FDG-PET/CT has some limitations for low proliferative tumors, low-grade tumors and for well-differentiated luminal breast cancer, PET/CT is useful for the initial staging of breast cancer, regardless of tumor phenotype (luminal, triple negative, or HER2+) and of tumor grade. Although FDG-PET/CT performs better for invasive ductal carcinoma (invasive carcinoma of no specific subtype), it is also helpful for staging invasive lobular carcinomas. At initial staging, FDG-PET/CT becomes very useful for staging from clinical stage IIB (T2N1 or T3N0). FDG-PET/CT could be useful in patients with clinical stage IIA (T1N1 or T2N0), but there is not enough strong evidence to recommend routine use in this subgroup. For clinical stage I (T1N0) patients, FDG-PET/CT offers no added value. In patients with recurrent breast cancer, FDG-PET/CT is more effective than conventional imaging in detecting locoregional or distant recurrence, whether suspected by clinical examination, conventional imaging, or elevation of a tumor marker (CA 15.3 or CEA). PET/CT is effective even in the presence of normal tumor markers. PET/CT is also a powerful imaging modality for performing a whole-body workup of a known recurrence and for determining whether or not the recurrence is isolated.
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Affiliation(s)
- David Groheux
- Department of Nuclear Medicine, Saint-Louis Hospital, Paris, France; University Paris-Diderot, INSERM U976, HIPI, Paris, France; Centre d'Imagerie Radio-isotopique, La Rochelle, France.
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18
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Entire versus Medial Supraclavicular Nodal Irradiation for Patients with High-risk Node-positive Breast Cancer. Int J Radiat Oncol Biol Phys 2022; 114:120-129. [DOI: 10.1016/j.ijrobp.2022.05.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Revised: 05/09/2022] [Accepted: 05/18/2022] [Indexed: 11/22/2022]
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19
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Turna M, Rzazade R, Canoğlu MD, Küçükmorkoç E, Küçük N, Çağlar HB. Evaluation of clinically involved lymph nodes with deformable registration in breast cancer radiotherapy. Br J Radiol 2022; 95:20211234. [PMID: 35084214 PMCID: PMC10993962 DOI: 10.1259/bjr.20211234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Revised: 12/21/2021] [Accepted: 01/12/2022] [Indexed: 11/05/2022] Open
Abstract
OBJECTIVES Modern radiotherapy (RT) techniques require careful delineation of the target. There is no particular RT contouring guideline for patients receiving neoadjuvant chemotherapy (NACT). In this study, we examined the distribution of pre-chemotherapy clinically positive nodal metastases. METHODS We explored the coverage rate of the RTOG breast contouring guideline by deformable fusion of 18-fluorodeoxyglucose positron emission tomography-computed tomography (PET-CT) scan. We retrospectively evaluated neoadjuvant chemotherapy patients. All PET-CT images were imported into the planning software. We combined the planning CT and the CT images of PET-CT with rigid and then a deformable registration. We manually contoured positive lymph nodes on the CT component of the PET-CT data set and transferred them to planning CT after fusion. We evaluated whether previously contoured lymphatic CTVs, according to the RTOG breast atlas, include GTV-LNs. RESULTS All breast cancer patients between October 2018 and February 2021 were evaluated from the electronic database. There were 142 radiologically defined positive lymph nodes in 31 patients who were irradiated after NACT. Most LNs (70%) were in the level I axilla. Only 71.1% (n:101) of the whole lymph nodes in 10 patients were totally covered, 22.5% (n:32) partially covered and 6.4% %(n:9) totally undercovered. CONCLUSIONS The extent of regional nodal areas in the RTOG atlas may be insufficient to cover positive lymph nodes adequately. For patients with nodal involvement undergoing neoadjuvant chemotherapy, PET-CT image fusions can be helpful to be sure that positive lymph nodes are in the treatment volume. ADVANCES IN KNOWLEDGE RTOG contouring atlas may be insufficient to cover all involved lymph nodes after NACT. For patients with nodal involvement undergoing neoadjuvant chemotherapy, PET-CT image fusions may help to be sure that positive lymph nodes are in the treatment volume.
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Affiliation(s)
- Menekse Turna
- Department of Radiation Oncology, Anadolu Medical
Center, Gebze, Kocaeli,
Turkey
| | - Rashad Rzazade
- Department of Radiation Oncology, Anadolu Medical
Center, Gebze, Kocaeli,
Turkey
| | - Mehmet Doğu Canoğlu
- Department of Radiation Oncology, Anadolu Medical
Center, Gebze, Kocaeli,
Turkey
| | - Esra Küçükmorkoç
- Department of Radiation Oncology, Anadolu Medical
Center, Gebze, Kocaeli,
Turkey
| | - Nadir Küçük
- Department of Radiation Oncology, Anadolu Medical
Center, Gebze, Kocaeli,
Turkey
| | - Hale Başak Çağlar
- Department of Radiation Oncology, Anadolu Medical
Center, Gebze, Kocaeli,
Turkey
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Mapping of Level I Axillary Lymph Nodes in Patients with Newly Diagnosed Breast Cancer: Optimal Target Delineation and Treatment Techniques for Breast and Level I Axilla irradiation. Pract Radiat Oncol 2022; 12:487-495. [PMID: 35247622 DOI: 10.1016/j.prro.2022.02.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Revised: 12/03/2021] [Accepted: 02/14/2022] [Indexed: 11/20/2022]
Abstract
PURPOSE To map the locations of level I axilla (Ax-L1) lymph nodes (LNs), evaluate the clinical target volume (CTV) coverage defined by the Radiation Therapy Oncology Group (RTOG) breast cancer atlas, and assess the optimal techniques for whole-breast and Ax-L1 irradiation (WBI + Ax-L1). MATERIALS AND METHODS We identified 76 newly diagnosed breast cancer patients with 1-4 positive LNs confirmed by axillary dissection. The locations of 116 involved Ax-L1 LNs on diagnostic computed tomography (CT) were mapped onto simulated CT images of a standard patient. Ax-L1 LN coverage by the RTOG atlas was evaluated, and a modified Ax-L1 CTV with better coverage was proposed. Treatment plans were designed for WBI + Ax-L1 with high tangential simplified intensity-modulated radiation therapy (HT-sIMRT) and volumetric modulated arc therapy (VMAT), and for WBI + RTOG Ax-L1 with VMAT with a prescription dose of 50 Gy in 25 fractions, respectively. The differences in dosimetric parameters were compared. RESULTS The RTOG atlas missed 29.3% of LNs. Modification by extending 1 cm caudal and 0.5 cm anterior to the RTOG-defined CTV borders allowed the modified Ax-L1 CTV to encompass 90.5% of LNs. All plans met the required prescription dose to WBI and Ax-L1. The mean dose and V20 and V5 of the ipsilateral lung were 11.7Gy, 23.0%, 38.1% for HT-sIMRT WBI + Ax-L1, and 8.9 Gy, 16.4%, 32.5% for VMAT WBI + Ax-L1 plans, respectively. The mean heart doses in the left-sided plans were 3.2Gy and 3.0Gy, respectively. The V30 of the humeral head and minimum dose to the axillary-lateral thoracic vessel junction were 2.0% vs 1.8%, and 45.5Gy vs 45.7Gy for VMAT WBI + Ax-L1 and VMAT WBI + RTOG Ax-L1 plans, respectively. CONCLUSIONS A modified Ax-L1 CTV with expansion of the caudal and anterior borders might provide better coverage. Compared with HT-sIMRT WBI + Ax-L1, VMAT WBI+ Ax-L1 provided an adequate dose to Ax-L1 with decreasing the doses to most normal tissues. Coverage of modified Ax-L1 did not increase the dose to organs-at-risk compared with coverage of RTOG Ax-L1.
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21
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Leonardi MC, Pepa M, Luraschi R, Vigorito S, Dicuonzo S, Isaksson LJ, La Porta MR, Marino L, Ippolito E, Huscher A, Argenone A, De Rose F, Cucciarelli F, De Santis MC, Rossi F, Prisco A, Guarnaccia R, Tabarelli de Fatis P, Palumbo I, Colangione SP, Mormile M, Ravo V, Fozza A, Aristei C, Orecchia R, Cattani F, Jereczek-Fossa BA. The dosimetric impact of axillary nodes contouring variability in breast cancer radiotherapy: An AIRO multi-institutional study. Radiother Oncol 2022; 168:113-120. [PMID: 35033602 DOI: 10.1016/j.radonc.2022.01.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Revised: 01/03/2022] [Accepted: 01/04/2022] [Indexed: 12/01/2022]
Abstract
AIM To quantify the dosimetric impact of contouring variability of axillary lymph nodes (L2, L3, L4) in breast cancer (BC) locoregional radiotherapy (RT). MATERIALS AND METHODS 18 RT centres were asked to plan a locoregional treatment on their own planning target volume (single centre, SC-PTV) which was created by applying their institutional margins to the clinical target volume of the axillary nodes of three BC patients (P1, P2, P3) previously delineated (SC-CTV). The gold standard CTVs (GS-CTVs) of P1, P2 and P3 were developed by BC experts' consensus and validated with STAPLE algorithm. For each participating centre, the GS-PTV of each patient was created by applying the same margins as those used for the SC-CTV to SC-PTV expansion and replaced the SC-PTV in the treatment plan. Datasets were imported into MIM v6.1.7 [MIM Software Inc.], where dose-volume histograms (DVHs) were extracted and differences were analysed. RESULTS 17/18 centres used intensity-modulated RT (IMRT). The CTV to PTV margins ranged from 0 to 10 mm (median 5 mm). No correlation was observed between GS-CTV coverage by 95% isodose and GS-PTV margins width. Doses delivered to 98% (D98) and 95% (D95) of GS-CTVs were significantly lower than those delivered to the SC-CTVs. No significant difference between SC-CTV and GS-CTV was observed in maximum dose (D2), always under 110%. Mean dose ≥99% of the SC-CTVs and GS-CTVs was satisfied in 84% and 50%, respectively. In less than one half of plans, GS-CTV V95% was above 90%. Breaking down the GS-CTV into the three nodal levels (L2, L3 and L4), L4 had the lowest probability to be covered by the 95% isodose. CONCLUSIONS Overall, GS-CTV resulted worse coverage, especially for L4. IMRT was largely used and CTV-to-PTV margins did not compensate for contouring issues. The results highlighted the need for delineation training and standardization.
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Affiliation(s)
| | - Matteo Pepa
- Division of Radiation Oncology, IEO, Istituto Europeo di Oncologia, IRCCS, Milano, Italy
| | - Rosa Luraschi
- Unit of Medical Physics, IEO, Istituto Europeo di Oncologia, IRCCS, Milano, Italy
| | - Sabrina Vigorito
- Unit of Medical Physics, IEO, Istituto Europeo di Oncologia, IRCCS, Milano, Italy
| | - Samantha Dicuonzo
- Division of Radiation Oncology, IEO, Istituto Europeo di Oncologia, IRCCS, Milano, Italy.
| | - Lars Johannes Isaksson
- Division of Radiation Oncology, IEO, Istituto Europeo di Oncologia, IRCCS, Milano, Italy
| | | | | | - Edy Ippolito
- Department of Radiotherapy, Campus Bio-Medico University, Roma, Italy
| | | | - Angela Argenone
- Division of Radiation Oncology, Azienda Ospedaliera di Rilievo Nazionale San Pio, Benevento, Italy
| | - Fiorenza De Rose
- Radiotherapy and Radiosurgery Department, Humanitas Clinical and Research Centre IRCCS, Milano, Italy
| | - Francesca Cucciarelli
- Radiotherapy Unit, Ospedali Riuniti Umberto I, G.M. Lancisi, G. Salesi, Ancona, Italy
| | - Maria Carmen De Santis
- Radiotherapy Unit 1, Fondazione IRCCS Istituto Nazionale dei Tumori (INT), Milano, Italy
| | - Francesca Rossi
- Radiotherapy Unit, Usl Toscana Centro, Ospedale Santa Maria Annunziata, Firenze, Italy
| | - Agnese Prisco
- Department of Radiotherapy, Azienda Sanitaria Universitaria Friuli Centrale, Udine, Italy
| | - Roberta Guarnaccia
- Radiotherapy Unit, Ospedale Fatebenefratelli Isola Tiberina, Roma, Italy
| | | | - Isabella Palumbo
- Radiation Oncology Section, University of Perugia and Perugia General Hospital, Perugia, Italy
| | - Sarah Pia Colangione
- Radiotherapy Unit, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, Meldola, Italy
| | - Maria Mormile
- Unit of Medical Physics, ASL Napoli 1 Centro - Ospedale del Mare, Napoli, Italy
| | - Vincenzo Ravo
- Unit of Radiotherapy, Istituto Nazionale Tumori - IRCCS - Fondazione G. Pascale, Napoli, Italy
| | - Alessandra Fozza
- Division of Radiation Oncology, Azienda Ospedaliera Nazionale SS. Antonio e Biagio e Cesare Arrigo, Alessandria, Italy
| | - Cynthia Aristei
- Radiation Oncology Section, University of Perugia and Perugia General Hospital, Perugia, Italy
| | - Roberto Orecchia
- Scientific Direction, IEO, Istituto Europeo di Oncologia, IRCCS, Milano, Italy
| | - Federica Cattani
- Unit of Medical Physics, IEO, Istituto Europeo di Oncologia, IRCCS, Milano, Italy
| | - Barbara Alicja Jereczek-Fossa
- Division of Radiation Oncology, IEO, Istituto Europeo di Oncologia, IRCCS, Milano, Italy; Department of Oncology and Hemato-Oncology, University of Milan, Milano, Italy
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22
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Borm KJ, Ernst L, Voppichler J, Oechsner M, Düsberg M, Buschner G, Weber W, Combs SE, Duma MN. Comparison of the distribution of lymph node metastases compared to healthy lymph nodes in breast cancer. Radiat Oncol 2022; 17:27. [PMID: 35123538 PMCID: PMC8818136 DOI: 10.1186/s13014-021-01964-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Accepted: 12/07/2021] [Indexed: 12/02/2022] Open
Abstract
Background Current literature lacks a comparison of lymph node metastases and non-pathological lymph nodes distribution in breast cancer patients. The aim of the current retrospective study was to generate a comprehensive atlas of the lymph node system. Methods 143 breast cancer patients underwent F-18-FDG-PET/CT (PET/CT) imaging for staging purposes and were diagnosed with regional lymph node metastases. Based on the PET/CT data set a total of 326 lymph node metastases and 1826 non-pathological lymph nodes were detected and contoured manually in the patient collective. Using rigid and deformable registration algorithms all structures were transferred to a template planning CT of a standard patient. Subsequently, a 3D-atlas of the distribution of lymph node metastases and non-pathological lymph nodes were generated and compared to each other. Results Both, lymph node metastases and non-pathological lymph nodes, accumulated in certain areas (“hot-spots”) within the lymphatic drainage system. However large differences regarding the distribution patterns were detected: lymph node metastases hot spots occurred in close proximity to the subclavian vein in level I-III, whereas the non-pathological lymph nodes accumulated mostly (within a wider range) in level I. In level II and III lymph node metastases exceeded clearly the areas in which non-pathological lymph nodes occurred. Conclusion Lymph node metastases and non-pathological lymph node distribution within the lymph node system differ clearly. Based on our results, an individual adjustment of the CTV in order to include visible lymph nodes in level II and III should be discussed.
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23
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Ge I, Erbes T, Juhasz-Böss I. Prognostic value and management of regional lymph nodes in locoregional breast cancer recurrence: a systematic review of the literature. Arch Gynecol Obstet 2022; 306:943-957. [PMID: 35122159 PMCID: PMC9470629 DOI: 10.1007/s00404-021-06352-9] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Accepted: 11/24/2021] [Indexed: 11/30/2022]
Abstract
PURPOSE Management of regional lymph nodes in breast cancer recurrence has been heterogeneous. To facilitate clinical practice, this review aims to give an overview on the prognosis, staging and operative management of (inapparent) regional lymph nodes. METHODS Current national and international guidelines are reviewed and a structured search of the literature between Jan 1, 1999 and Feb 1, 2021 on the repeat sentinel node biopsy (re-SNB) procedure was performed. RESULTS Positive regional lymph nodes in recurrent breast cancer indicate a poorer outcome with axillary recurrences being the most favorable tumor site among all nodal regions. Most preferred staging method is ultrasound ± guided biopsy. PET-CT, scintimammography, SPECT-CT may improve visualization of affected lymph nodes outside the axilla. Concerning operative management 30 articles on re-SNB were identified with a mean harvesting rate of 66.4%, aberrant drainage and aberrant metastasis in 1/3 of the cases. Total rate of metastasis is 17.9%. After previous axillary dissection (ALND) the re-SNB has a significantly lower harvesting rate and higher aberrant drainage and aberrant metastasis rate. The prognostic outcome after re-SNB has been favorable. CONCLUSION Nodal status in recurrent disease has prognostic value. The choice of operative management of clinically inapparent regional lymph nodes during local recurrence should be based on the previous nodal staging method. Patients with previous ALND should be spared a second systematic ALND. Re-SNB or no axillary surgery at all are possible alternatives. Lymphoscintigraphy may be performed to identify extraaxillary drainage. However, for definite recommendations randomized controlled studies are heavily needed.
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Affiliation(s)
- Isabell Ge
- Department of Obstetrics and Gynecology, Medical Center - University of Freiburg, Freiburg, Germany. .,Faculty of Medicine, University of Freiburg, Freiburg, Germany.
| | - Thalia Erbes
- Department of Obstetrics and Gynecology, Medical Center - University of Freiburg, Freiburg, Germany.,Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Ingolf Juhasz-Böss
- Department of Obstetrics and Gynecology, Medical Center - University of Freiburg, Freiburg, Germany.,Faculty of Medicine, University of Freiburg, Freiburg, Germany
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24
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Long-Term Outcomes of Breast Cancer Patients Who Underwent Selective Neck Dissection for Metachronous Isolated Supraclavicular Nodal Metastasis. Cancers (Basel) 2021; 14:cancers14010164. [PMID: 35008328 PMCID: PMC8750885 DOI: 10.3390/cancers14010164] [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: 11/09/2021] [Revised: 12/24/2021] [Accepted: 12/27/2021] [Indexed: 11/16/2022] Open
Abstract
We retrospectively enrolled 139 patients who developed metachronous isolated supraclavicular lymph node metastasis (miSLNM) from 8129 consecutive patients who underwent primary surgery between 1990 and 2008 at a single medical center. The median age was 47 years. The median follow-up time from date of primary tumor surgery was 73.1 months, and the median time to the date of neck relapse was 43.9 months in this study. Sixty-one (43.9%) patients underwent selective neck dissection (SND). The 5-year distant metastasis-free survival (DMFS), post-recurrence survival, and overall survival (OS) rates in the SND group were 31.1%, 40.3%, and 68.9%, respectively, whereas those of the no-SND group were 9.7%, 32.9%, and 57.7%, respectively (p = 0.001). No SND and time interval from primary tumor surgery to neck relapse ≤24 months were the only significant risk factors in the multivariate analysis of DMFS (hazard ratio (HR), 1.77; 95% confidence interval (CI), 1.23-2.56; p = 0.002 and HR, 1.76, 95% CI, 1.23-2.52; p = 0.002, respectively) and OS (HR, 1.77; 95% CI, 1.22-2.55; p = 0.003 and HR, 3.54, 95% CI, 2.44-5.16; p < 0.0001, respectively). Multimodal therapy, including neck dissection, significantly improved the DMFS and OS of miSLNM. Survival improvement after miSLNM control by intensive surgical treatment suggests that miSLNM is not distant metastasis.
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25
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Hsieh MT, Aherne NJ, Ross W, Salindera S, Westhuyzen J, Winkley L, Shakespeare TP. Evaluation of apical clips placed during axillary dissection demonstrates potential under-coverage of axillary radiation therapy target volumes during breast cancer regional nodal irradiation. J Med Imaging Radiat Oncol 2021; 66:158-164. [PMID: 34821471 DOI: 10.1111/1754-9485.13349] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Accepted: 11/03/2021] [Indexed: 11/30/2022]
Abstract
INTRODUCTION Evidence-based Australian guidelines (eviQ) recommend adjuvant supraclavicular fossa irradiation after axillary lymph node dissection (ALND) in node-positive breast cancer patients. Disparity between surgically determined versus computed tomography (CT) determined nodal volumes may result in discontiguous nodal volumes and untreated nodal tissue. We examine the extent of untreated nodal tissue in women with breast cancer post-level II or III ALND and adjuvant radiation therapy (RT) using ESTRO contouring guidelines. METHODS Female breast cancer patients who underwent level II and III ALND with apical clip placement from 2016 to 2020 and CT simulated in supine position were included. CT-defined axillary level II-IV volumes were contoured using ESTRO guidelines. The distance between the apical clip and RT nodal volumes was measured to indicate extent of untreated tissue. RESULTS Of 34 eligible patients treated by 7 surgeons, 76% had level II ALND and 24% level III ALND. Only 5.9% of clips entirely encompassed the corresponding RT nodal volumes. 55.9% of clips fell within and 44.1% fell inferolaterally outside the corresponding RT nodal volumes. A median 3.6 cm (range 0-7.5 cm) of undissected nodal tissue would not be included within standard RT target volumes following eviQ recommendations. CONCLUSION There is a disparity between surgically determined versus CT determined axillary nodal volumes, leading to discontiguous nodal volumes and untreated axillary nodal tissue, despite following standard radiation contouring guidelines. Intraoperatively placed apical axillary clips may assist radiation oncologists to accurately delineate undissected nodal tissues at risk.
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Affiliation(s)
- Michael Ti Hsieh
- Department of Radiation Oncology, Mid North Coast Cancer Institute, Coffs Harbour Health Campus, Coffs Harbour, New South Wales, Australia
| | - Noel J Aherne
- Department of Radiation Oncology, Mid North Coast Cancer Institute, Coffs Harbour Health Campus, Coffs Harbour, New South Wales, Australia.,School of Health and Human Sciences, Southern Cross University, Coffs Harbour, New South Wales, Australia.,RCS Faculty of Medicine, University of New South Wales, Coffs Harbour, New South Wales, Australia
| | - William Ross
- RCS Faculty of Medicine, University of New South Wales, Coffs Harbour, New South Wales, Australia.,Department of Surgery, Coffs Harbour Health Campus, Coffs Harbour, New South Wales, Australia
| | - Shehnarz Salindera
- Department of Surgery, Coffs Harbour Health Campus, Coffs Harbour, New South Wales, Australia
| | - Justin Westhuyzen
- Department of Radiation Oncology, Mid North Coast Cancer Institute, Coffs Harbour Health Campus, Coffs Harbour, New South Wales, Australia
| | - Lauren Winkley
- Department of Radiation Oncology, Mid North Coast Cancer Institute, Coffs Harbour Health Campus, Coffs Harbour, New South Wales, Australia
| | - Thomas P Shakespeare
- Department of Radiation Oncology, Mid North Coast Cancer Institute, Coffs Harbour Health Campus, Coffs Harbour, New South Wales, Australia.,RCS Faculty of Medicine, University of New South Wales, Coffs Harbour, New South Wales, Australia
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26
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Mutter RW, Choi JI, Jimenez RB, Kirova YM, Fagundes M, Haffty BG, Amos RA, Bradley JA, Chen PY, Ding X, Carr AM, Taylor LM, Pankuch M, Vega RBM, Ho AY, Nyström PW, McGee LA, Urbanic JJ, Cahlon O, Maduro JH, MacDonald SM. Proton Therapy for Breast Cancer: A Consensus Statement From the Particle Therapy Cooperative Group Breast Cancer Subcommittee. Int J Radiat Oncol Biol Phys 2021; 111:337-359. [PMID: 34048815 PMCID: PMC8416711 DOI: 10.1016/j.ijrobp.2021.05.110] [Citation(s) in RCA: 52] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Revised: 05/12/2021] [Accepted: 05/17/2021] [Indexed: 12/23/2022]
Abstract
Radiation therapy plays an important role in the multidisciplinary management of breast cancer. Recent years have seen improvements in breast cancer survival and a greater appreciation of potential long-term morbidity associated with the dose and volume of irradiated organs. Proton therapy reduces the dose to nontarget structures while optimizing target coverage. However, there remain additional financial costs associated with proton therapy, despite reductions over time, and studies have yet to demonstrate that protons improve upon the treatment outcomes achieved with photon radiation therapy. There remains considerable heterogeneity in proton patient selection and techniques, and the rapid technological advances in the field have the potential to affect evidence evaluation, given the long latency period for breast cancer radiation therapy recurrence and late effects. In this consensus statement, we assess the data available to the radiation oncology community of proton therapy for breast cancer, provide expert consensus recommendations on indications and technique, and highlight ongoing trials' cost-effectiveness analyses and key areas for future research.
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Affiliation(s)
- Robert W Mutter
- Department of Radiation Oncology, Mayo Clinic, Rochester, Minnesota.
| | - J Isabelle Choi
- Department of Radiation Oncology, New York Proton Center and Memorial Sloan Kettering Cancer Center, New York, New York
| | - Rachel B Jimenez
- Department of Radiation Oncology, Massachusetts General Hospital, Boston, Massachusetts
| | - Youlia M Kirova
- Department of Radiation Oncology, Institut Curie, Paris, France
| | - Marcio Fagundes
- Department of Radiation Oncology, Miami Cancer Institute, Miami, Florida
| | - Bruce G Haffty
- Department of Radiation Oncology, Rutgers Cancer Institute of New Jersey, New Brunswick, New Jersey
| | - Richard A Amos
- Proton and Advanced Radiotherapy Group, Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom
| | - Julie A Bradley
- Department of Radiation Oncology, University of Florida, Jacksonville, Florida
| | - Peter Y Chen
- Department of Radiation Oncology, Beaumont Health, Royal Oak, Michigan
| | - Xuanfeng Ding
- Department of Radiation Oncology, Beaumont Health, Royal Oak, Michigan
| | - Antoinette M Carr
- Department of Radiation Oncology, Beaumont Health, Royal Oak, Michigan
| | - Leslie M Taylor
- Department of Radiation Oncology, Beaumont Health, Royal Oak, Michigan
| | - Mark Pankuch
- Department of Radiation Oncology, Northwestern Medicine Proton Center, Warrenville, Illinois
| | | | - Alice Y Ho
- Department of Radiation Oncology, New York Proton Center and Memorial Sloan Kettering Cancer Center, New York, New York
| | - Petra Witt Nyström
- The Skandion Clinic, Uppsala, Sweden and the Danish Centre for Particle Therapy, Aarhus, Denmark
| | - Lisa A McGee
- Department of Radiation Oncology, Mayo Clinic Hospital, Phoenix, Arizona
| | - James J Urbanic
- Department of Radiation Medicine and Applied Sciences, UC San Diego Health, Encinitas, California
| | - Oren Cahlon
- Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, New York
| | - John H Maduro
- Department of Radiation Oncology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Shannon M MacDonald
- Department of Radiation Oncology, Massachusetts General Hospital, Boston, Massachusetts
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27
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Kaidar-Person O, Offersen BV, Boersma L, Meattini I, Dodwell D, Wyld L, Aznar M, Major T, Kuehn T, Strnad V, Palmu M, Hol S, Poortmans P. Tricks and tips for target volume definition and delineation in breast cancer: Lessons learned from ESTRO breast courses. Radiother Oncol 2021; 162:185-194. [PMID: 34302915 DOI: 10.1016/j.radonc.2021.07.015] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Revised: 07/10/2021] [Accepted: 07/12/2021] [Indexed: 10/20/2022]
Abstract
Delineation of target and 'organ at risk' volumes is a critical part of modern radiation therapy planning, the next essential step after deciding the indication, patient discussion and image acquisition. Adoption of volume-based treatment planning for non-metastatic breast cancer has increased greatly along with the use of improved planning techniques, essential for modern therapy. However, identifying the volumes on a planning CT is no easy task. The current paper is written by ESTRO's breast course faculty, providing tricks and tips for target volume definition and delineation for optimal postoperative breast cancer irradiation.
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Affiliation(s)
- Orit Kaidar-Person
- Sheba Medical Center, Ramat Gan, Israel; Sackler School of Medicine, Tel-Aviv University, Israel.
| | - Birgitte V Offersen
- Department of Experimental Clinical Oncology, Aarhus University Hospital, Denmark
| | - Liesbeth Boersma
- Department of Radiation Oncology (Maastro), GROW School for Oncology, Maastricht University Medical Centre+, The Netherlands
| | - Icro Meattini
- Department of Experimental and Clinical Biomedical Sciences "M. Serio", University of Florence & Radiation Oncology Unit - Oncology Department, Azienda Ospedaliero Universitaria Careggi, Florence, Italy
| | - David Dodwell
- Nuffield Department of Population Health, University of Oxford, UK
| | - Lynda Wyld
- Department of Oncology and Metabolism, University of Sheffield, UK
| | - Marianne Aznar
- Division of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, UK
| | - Tibor Major
- Center of Radiotherapy, National Institute of Oncology, Budapest, Hungary & Department of Oncology, Semmelweis University, Budapest, Hungary
| | - Thorsten Kuehn
- Department of Gynaecology and Obstetrics, Interdisciplinary Breast Center, Klinikum Esslingen, Germany
| | - Vratislav Strnad
- Dept. of Radiation Oncology, University Hospital Erlangen, Erlangen, Germany
| | - Miika Palmu
- European SocieTy for Radiotherapy and Oncology, UK
| | - Sandra Hol
- Instituut Verbeeten, Tilburg, The Netherlands
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28
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Borm KJ, Junker Y, Düsberg M, Devečka M, Münch S, Dapper H, Oechsner M, Combs SE. Impact of CBCT frequency on target coverage and dose to the organs at risk in adjuvant breast cancer radiotherapy. Sci Rep 2021; 11:17378. [PMID: 34462489 PMCID: PMC8405651 DOI: 10.1038/s41598-021-96836-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Accepted: 08/17/2021] [Indexed: 11/16/2022] Open
Abstract
The current study aims to assess the effect of cone beam computed tomography (CBCT) frequency during adjuvant breast cancer radiotherapy with simultaneous integrated boost (SIB) on target volume coverage and dose to the organs at risk (OAR). 50 breast cancer patients receiving either non-hypofractionated or hypofractionated radiotherapy after lumpectomy including a SIB to the tumor bed were selected for this study. All patients were treated in volumetric modulated arc therapy (VMAT) technique and underwent daily CBCT imaging. In order to estimate the delivered dose during the treatment, the applied fraction doses were recalculated on daily CBCT scans and accumulated using deformable image registration. Based on a total of 2440 dose recalculations, dose coverage in the clinical target volumes (CTV) and OAR was compared depending on the CBCT frequency. The estimated delivered dose (V95%) for breast-CTV and SIB-CTV was significantly lower than the planned dose distribution, irrespective of the CBCT-frequency. Between daily CBCT and CBCT on alternate days, no significant dose differences were found regarding V95% for both, breast-CTV and SIB-CTV. Dose distribution in the OAR was similar for both imaging protocols. Weekly CBCT though led to a significant decrease in dose coverage compared to daily CBCT and a small but significant dose increase in most OAR. Daily CBCT imaging might not be necessary to ensure adequate dose coverage in the target volumes while efficiently sparing the OAR during adjuvant breast cancer radiotherapy with SIB.
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Affiliation(s)
- Kai J Borm
- Department of Radiation Oncology, Klinikum Rechts Der Isar, Medical School, Technical University Munich, Ismaningerstraße 22, 81675, Munich, Germany.
| | - Yannis Junker
- Department of Radiation Oncology, Klinikum Rechts Der Isar, Medical School, Technical University Munich, Ismaningerstraße 22, 81675, Munich, Germany
| | - Mathias Düsberg
- Department of Radiation Oncology, Klinikum Rechts Der Isar, Medical School, Technical University Munich, Ismaningerstraße 22, 81675, Munich, Germany
| | - Michal Devečka
- Department of Radiation Oncology, Klinikum Rechts Der Isar, Medical School, Technical University Munich, Ismaningerstraße 22, 81675, Munich, Germany
| | - Stefan Münch
- Department of Radiation Oncology, Klinikum Rechts Der Isar, Medical School, Technical University Munich, Ismaningerstraße 22, 81675, Munich, Germany
| | - Hendrik Dapper
- Department of Radiation Oncology, Klinikum Rechts Der Isar, Medical School, Technical University Munich, Ismaningerstraße 22, 81675, Munich, Germany
| | - Markus Oechsner
- Department of Radiation Oncology, Klinikum Rechts Der Isar, Medical School, Technical University Munich, Ismaningerstraße 22, 81675, Munich, Germany
| | - Stephanie E Combs
- Department of Radiation Oncology, Klinikum Rechts Der Isar, Medical School, Technical University Munich, Ismaningerstraße 22, 81675, Munich, Germany.,Deutsches Konsortium Für Translationale Krebsforschung (DKTK)-Partner Site Munich, Munich, Germany.,Institute of Radiation Medicine, Helmholtzzentrum München, Munich, Germany
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29
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DeCesaris CM, Mossahebi S, Jatczak J, Rao AD, Zhu M, Mishra MV, Nichols E. Outcomes of and treatment planning considerations for a hybrid technique delivering proton pencil-beam scanning radiation to women with metal-containing tissue expanders undergoing post-mastectomy radiation. Radiother Oncol 2021; 164:289-298. [PMID: 34280402 DOI: 10.1016/j.radonc.2021.07.012] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Revised: 07/06/2021] [Accepted: 07/08/2021] [Indexed: 11/20/2022]
Abstract
BACKGROUND Following mastectomy, immediate breast reconstruction often involves the use of temporary tissue expanders (TEs). TEs contain metallic ports (MPs), which complicate proton pencil-beam scanning (PBS) planning. A technique was implemented for delivering PBS post-mastectomy radiation (PMRT) to patients with TEs and MPs. METHODS A protocol utilizing a hybrid single- and multi-field optimization (SFO, MFO) technique was developed. Plans were robustly optimized using a Monte Carlo algorithm. A CTV_eval structure including chest wall (CW) and regional nodal (RNI) targets and excluding the TE was evaluated. Organ at risk (OAR) dosimetry and acute toxicities were analyzed. RESULTS Twenty-nine women were treated with this technique. A 2-field SFO technique was used superior and inferior to the MP, with a 3 or 4-field MFO technique used at the level of the MP. Virtual blocks were utilized so that beams did not travel through the MP. A port-to-CW distance of 1 cm was required. Patients underwent daily image-guidance to ensure the port remained within a 0.5 cm internal planning volume (ITV). Median RT dose to CTV_eval was 50.4 Gy (45.0-50.4). Median 95% CTV_eval coverage was 99.5% (95-100). Optically stimulated luminescent dosimeter (OSLD) readings were available for 8 patients and correlated to the dose measurements in the treatment planning system (TPS); median OSLD ratio was 0.99 (range, 0.93-1.02). CONCLUSIONS Delivering PMRT with PBS for women with metal-containing TEs using a hybrid SFO/MFO technique is feasible, reproducible, and achieves excellent dose distributions. Specialized planning and image-guidance techniques are required to safely utilize this treatment in the clinic.
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Affiliation(s)
- Cristina M DeCesaris
- Department of Radiation Oncology, University of Maryland Medical Center, Baltimore, United States.
| | - Sina Mossahebi
- Division of Physics, Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, United States
| | - Jenna Jatczak
- Maryland Proton Treatment Center, Baltimore, United States
| | - Avani D Rao
- Department of Radiation Oncology, Inova Schar Cancer Institute, Fairfax, United States
| | - Mingyao Zhu
- Department of Radiation Oncology, Emory University, Atlanta, United States
| | - Mark V Mishra
- Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, United States
| | - Elizabeth Nichols
- Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, United States
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Groheux D, Hindie E. Breast cancer: initial workup and staging with FDG PET/CT. Clin Transl Imaging 2021; 9:221-231. [PMID: 33937141 PMCID: PMC8075837 DOI: 10.1007/s40336-021-00426-z] [Citation(s) in RCA: 45] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2021] [Accepted: 04/13/2021] [Indexed: 12/13/2022]
Abstract
Purpose Precise staging is needed to plan optimal management in breast cancer. 18F-fluorodeoxyglucose positron emission tomography coupled with computed tomography (FDG-PET/CT) offers high sensitivity in detecting extra axillary lymph nodes and distant metastases. This review aims to clarify in which groups of patients staging with FDG-PET/CT would be beneficial and should be offered. We also discuss how tumor biology and breast cancer subtypes should be taken into account when interpreting FDG-PET/CT scans. Methods We performed a comprehensive literature review and rigorous appraisal of research studies assessing indications for FDG-PET/CT in breast cancer. This assessment regarding breast cancer served as a basis for the recommendations set by a working group of the French Society of Nuclear Medicine, in collaboration with oncological societies, for developing good clinical practice recommendations on the use of FDG-PET/CT in oncology. Results FDG-PET/CT is useful for initial staging of breast cancer, independently of tumor phenotype (triple negative, luminal or HER2 +) and regardless of tumor grade. Considering histological subtype, FDG-PET/CT performs better for staging invasive ductal carcinoma, although it is also helpful for staging invasive lobular carcinomas. Based on the available data, FDG-PET/CT becomes useful for staging starting from clinical stage IIB. FDG-PET/CT is possibly useful in patients with clinical stage IIA (T1N1 or T2N0), but there is not enough strong data to recommend routine use in this subgroup. For clinical stage I (T1N0) patients, staging with FDG-PET/CT offers no added value. Conclusion FDG-PET/CT is useful for staging patients with breast cancer, starting from clinical stage IIB.
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Affiliation(s)
- David Groheux
- Department of Nuclear Medicine, Saint-Louis Hospital, Paris, France
- University Paris-Diderot, INSERM U976, HIPI, Paris, France
| | - Elif Hindie
- Department of Nuclear Medicine, Bordeaux University Hospital, Bordeaux, France
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Excluding Lung Tissue from the PTV during Internal Mammary Irradiation. A Safe Technique for OAR-Sparing? Cancers (Basel) 2021; 13:cancers13081951. [PMID: 33919587 PMCID: PMC8073233 DOI: 10.3390/cancers13081951] [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: 02/22/2021] [Revised: 04/09/2021] [Accepted: 04/14/2021] [Indexed: 11/26/2022] Open
Abstract
Simple Summary The planning treatment volume (PTV) during internal mammary irradiation (IMNI) regularly overlaps with lung tissue and is often in close proximity to the heart. Thus, exclusion of lung tissue from the PTV is a potential technique to spare the organs at risk (OARs) during adjuvant breast cancer irradiation. Using an innovative dose recalculation and accumulation algorithm, we evaluated the safety of exclusion of lung tissue from the PTV. According to our data, exclusion of lung tissue from the PTV to spare the OARs leads to significant dose reduction in the target volume and can, therefore, not be recommended. Abstract The current study aims to determine whether exclusion of lung tissue from planning treatment volume (PTV) is a valid organ at risk (OAR)-sparing technique during internal mammary irradiation (IMNI). Twenty patients with left-sided breast cancer undergoing adjuvant radiotherapy including IMNI after mastectomy or lumpectomy with daily ConeBeam CT (CBCT; median n = 28) were enrolled in the current study. The daily dose distribution of the patients was estimated by recalculating treatment plans on CBCT-scans based on a standard PTV (PTV margin: 5mm-STD) and a modified PTV, which excluded overlapping lung tissue (ExLung). Using 3D-deformable dose accumulation, the dose coverage in the target volume was estimated in dependence of the PTV-margins. The estimated delivered dose in the IMN-CTV was significantly lower for the ExLung PTV compared to the STD PTV: ExLung: V95%: 76.6 ± 22.9%; V90%: 89.6 ± 13.2%, STD: V95%: 95.6 ± 7.4%; V90%: 99.1 ± 2.7%. Daily CBCT imaging cannot sufficiently compensate the anatomic changes and intrafraction movement throughout the treatment. Therefore, to ensure adequate delivery of the prescribed dose to the IMN-CTV, exclusion of lung tissue from the PTV to spare the OARs is not recommended.
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Effect of the Number of Removed Lymph Nodes on Survival in Patients with FIGO Stage IB-IIA Cervical Squamous Cell Carcinoma following Open Radical Hysterectomy with Pelvic Lymphadenectomy: A Retrospective Cohort Study. JOURNAL OF ONCOLOGY 2021; 2021:6201634. [PMID: 33936201 PMCID: PMC8062174 DOI: 10.1155/2021/6201634] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Revised: 09/22/2020] [Accepted: 03/30/2021] [Indexed: 12/24/2022]
Abstract
Objective To determine whether the number of removed lymph nodes (RLN) is associated with survival in patients with International Federation of Gynecology and Obstetrics (FIGO) stage IB-IIA cervical squamous cell carcinoma (CSCC). Methods We reviewed the medical records of FIGO stage IB-IIA CSCC patients who underwent standardized radical hysterectomy with pelvic lymphadenectomy (RHPL) in our center between 2006 and 2014. The X-tile software was performed to calculate the optimal grouping of cutoff points for RLN. The impact of RLN on progression-free survival (PFS) and overall survival (OS) was analyzed using Cox regression analysis. Results Among 3,127 patients, the mean number of RLN was 22, and positive lymph node (LN) was found in 668 (21.4%) patients. X-tile plots identified “21” and “16” as the optimal cutoff value of RLN to divide the patients into two groups in terms of PFS and OS separately. In all patients, the number of RLN was not associated with PFS (P=0.182) or OS (P=0.193). Moreover, in both LN positive and negative patients, the number of RLN was not associated with either PFS (P=0.212 and P=0.540, respectively) or OS (P=0.173 and P=0.497, respectively). Cox regression analysis showed that the number of RLN was not an independent prognostic factor for PFS or OS. Conclusion If standardized RHPL was performed, the number of RLN was not an independent prognostic factor for survival of patients with FIGO stage IB-IIA CSCC.
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Novikov SN, Krzhivitskii PI, Melnik YS, Valitova AA, Bryantseva ZV, Akulova IA, Kanaev SV. Atlas of sentinel lymph nodes in early breast cancer using single-photon emission computed tomography: implication for lymphatic contouring. Radiat Oncol J 2021; 39:8-14. [PMID: 33794569 PMCID: PMC8024181 DOI: 10.3857/roj.2020.00871] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2020] [Accepted: 02/03/2021] [Indexed: 11/03/2022] Open
Abstract
PURPOSE to determine the localization of sentinel lymph nodes (SLNs) in a large cohort of patients with breast cancer and validate the European Society for Therapeutic Radiology and Oncology (ESTRO), Radiation Therapy Oncology Group (RTOG), and Radiotherapy Comparative Effectiveness (RADCOMP) guidelines on regional lymph node clinical target volume (CTV-LN) delineation. MATERIALS AND METHODS A total of 254 women with cT1-3N0-1M0 breast cancer underwent single-photon emission computed tomography (SPECT-CT) visualization of SLNs after intra- and peritumoral injection of 99mTc-radiocolloids. All SPECT-CT images were fused with reference simulation computed tomography. A 3D atlas of SLNs was created and used for evaluation of CTV-LN defined by contouring guidelines. RESULTS SPECT-CT visualized 532 SLNs that were localized in axillary level I in 67.5%, level II in 15.4%, level III in 7.3%, internal mammary in 8.5%, and supraclavicular in 1.3% cases. The majority of level II-IV and internal mammary SLNs were inside the recommended CTV-LN. Axillary level I SLNs were covered by ESTRO and RTOG contours in 85% and 85% cases, respectively. "Out of contours" SLNs were mostly detected in lateral subgroup of level I LN (18.5%), while 98%-99% of anterior pectoral and central axillary SLNs were covered by CTV-LN. Internal mammary SLNs were visualized in 33 cases and were outside ESTRO and RTOG contours in 3 and 6 observations, respectively. CONCLUSION SPECT-CT atlas of SLNs demonstrated that in most cases ESTRO and RTOG guidelines correctly represented CTV-LNs with the exception of lateral subgroup of SLNs.
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Affiliation(s)
- Sergey Nikolaevich Novikov
- Department of Radiation Oncology & Nuclear Medicine, N.N. Petrov National Medical Research Center of Oncology, St. Petersburg, Russia
| | - Pavel Ivanovich Krzhivitskii
- Department of Radiation Oncology & Nuclear Medicine, N.N. Petrov National Medical Research Center of Oncology, St. Petersburg, Russia
| | - Yulia Sergeevna Melnik
- Department of Radiation Oncology & Nuclear Medicine, N.N. Petrov National Medical Research Center of Oncology, St. Petersburg, Russia
| | - Alina Albertovna Valitova
- Department of Radiation Oncology & Nuclear Medicine, N.N. Petrov National Medical Research Center of Oncology, St. Petersburg, Russia
| | - Zhanna Viktorovna Bryantseva
- Department of Radiation Oncology & Nuclear Medicine, N.N. Petrov National Medical Research Center of Oncology, St. Petersburg, Russia
| | - Irina Alexandrovna Akulova
- Department of Radiation Oncology & Nuclear Medicine, N.N. Petrov National Medical Research Center of Oncology, St. Petersburg, Russia
| | - Sergey Vasilevich Kanaev
- Department of Radiation Oncology & Nuclear Medicine, N.N. Petrov National Medical Research Center of Oncology, St. Petersburg, Russia
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Borm KJ, Oechsner M, Düsberg M, Buschner G, Wolfgang W, Combs SE, Duma MN. Effect of hypofractionation on the incidental axilla dose during tangential field radiotherapy in breast cancer. Strahlenther Onkol 2020; 196:771-778. [PMID: 32488292 PMCID: PMC7450000 DOI: 10.1007/s00066-020-01636-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2019] [Accepted: 05/09/2020] [Indexed: 11/30/2022]
Abstract
Objective Tangential field irradiation in breast cancer potentially treats residual tumor cells in the axilla after sentinel lymph node biopsy (SLNB). In recent years, hypofractionated radiotherapy has gained importance and currently represents the recommended standard in adjuvant breast cancer treatment for many patients. So far, the impact of hypofractionation on the effect of incidental lymph node irradiation has not be addressed. Materials and methods Biological effective dose (BED) and tumor control probability (TCP) were estimated for four different hypofractionated radiation schemes (42.50 Gy in 16 fractions [Fx]; 40.05 Gy in 15 Fx; 27 Gy in 5 Fx; and 26 in 5 Fx) and compared to conventional fractionation (50 Gy in 25 Fx). For calculation of BED and TCP, a previously published radiobiological model with an α/β ratio of 4 Gy was used. The theoretical BED and TCP for incidental irradiation between 0 and 100% of the prescribed dose were evaluated. Subsequently, we assessed BED and TCP in 431 axillary lymph node metastases. Results The extent of incidental lymph node irradiation and the fractionation scheme have a direct impact on BED and TCP. The estimated mean TCP in the axillary nodes ranged from 1.5 ± 6.4% to 57.5 ± 22.9%, depending on the patient’s anatomy and the fractionation scheme. Hypofractionation led to a significant reduction of mean TCP of lymph node metastases for all schedules. Conclusion Our data indicate that hypofractionation might affect the effectiveness of incidental radiotherapy in the axilla. This is particularly relevant for patients with positive sentinel lymph nodes who receive SLNB only.
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Affiliation(s)
- Kai J Borm
- Department of RadiationOncology, Technical University Munich, Medical School, Klinikum rechts der Isar, Munich, Germany
| | - Markus Oechsner
- Department of RadiationOncology, Technical University Munich, Medical School, Klinikum rechts der Isar, Munich, Germany
| | - Mathias Düsberg
- Department of RadiationOncology, Technical University Munich, Medical School, Klinikum rechts der Isar, Munich, Germany
| | - Gabriel Buschner
- Department of Nuclear Medicine, Technical University Munich, Medical School, Klinikum rechts der Isar, Munich, Germany
| | - Weber Wolfgang
- Department of Nuclear Medicine, Technical University Munich, Medical School, Klinikum rechts der Isar, Munich, Germany
| | - Stephanie E Combs
- Department of RadiationOncology, Technical University Munich, Medical School, Klinikum rechts der Isar, Munich, Germany.,Deutsches Konsortium für Translationale Krebsforschung (DKTK)-Partner Site Munich, Munich, Germany.,Institute of Radiation Medicine, Helmholtzzentrum München, Ingolstaedter Landstr. 1, 85764, Neuherberg, Germany
| | - Marciana N Duma
- Department of RadiationOncology, Technical University Munich, Medical School, Klinikum rechts der Isar, Munich, Germany. .,Department of Radiotherapy and Radiation Oncology, Friedrich Schiller University Hospital, Bachstraße 18, 07743, Jena, Germany.
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Beaton L, Nica L, Tyldesley S, Sek K, Ayre G, Aparicio M, Gondara L, Speers C, Nichol A. PET/CT of breast cancer regional nodal recurrences: an evaluation of contouring atlases. Radiat Oncol 2020; 15:136. [PMID: 32487183 PMCID: PMC7268399 DOI: 10.1186/s13014-020-01576-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2019] [Accepted: 05/19/2020] [Indexed: 12/01/2022] Open
Abstract
BACKGROUND To validate the Radiation Therapy Oncology Group (RTOG) and European Society for Radiotherapy and Oncology (ESTRO) breast cancer nodal clinical target volumes (CTVs) and to investigate the Radiotherapy Comparative Effectiveness Consortium (RADCOMP) Posterior Neck volume in relation to regional nodal recurrences (RNR). METHODS From a population-based database, 69 patients were identified who developed RNR after curative treatment for breast cancer. RNRs were detected with 18-fluorodeoxyglucose-positron emission tomography-computed tomography (PET/CT). All patients were treatment-naïve for RNR when imaged. The RTOG and ESTRO nodal CTVs and RADCOMP Posterior Neck volumes were contoured onto a template patient's CT. RNRs were contoured on each PET/CT and deformed onto the template patient's CT. Each RNR was represented by a 5 mm diameter epicentre, and categorized as 'inside', 'marginal' or 'outside' the CTV boundaries. RESULTS Sixty-nine patients with 226 nodes (median 2, range 1-11) were eligible for inclusion. Thirty patients had received adjuvant tangent and regional nodal radiotherapy, 16 tangent-only radiotherapy and 23 no adjuvant radiotherapy. For the RTOG CTVs, the RNR epicentres were 70% (158/226) inside, 4% (8/226) marginal and 27% (60/226) outside. They included the full extent of the RNR epicentres in 38% (26/69) of patients. Addition of the RADCOMP Posterior Neck volume increased complete RNR coverage to 48% (33/69) of patients. For the ESTRO CTVs, the RNR epicentres were 73% (165/226) inside, 2% (4/226) marginal and 25% (57/226) outside. They included the full extent of the RNR epicentres in 57% (39/69) of patients. Addition of the RADCOMP Posterior Neck volume increased complete RNR coverage to 70% (48/69) of patients. CONCLUSIONS The RTOG and ESTRO breast cancer nodal CTVs do not fully cover all potential areas of RNR, but the ESTRO nodal CTVs provided full coverage of all RNR epicentres in 19% more patients than the RTOG nodal CTVs. With addition of the RADCOMP Posterior Neck volume to the ESTRO CTVs, 70% of patients had full coverage of all RNR epicentres.
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Affiliation(s)
- Laura Beaton
- Department of Radiation Oncology, BC Cancer, Vancouver Centre, Vancouver, British Columbia, Canada
| | - Luminita Nica
- Department of Radiation Oncology, BC Cancer, Vancouver Centre, Vancouver, British Columbia, Canada
| | - Scott Tyldesley
- Department of Radiation Oncology, BC Cancer, Vancouver Centre, Vancouver, British Columbia, Canada
- Cancer Surveillance and Outcomes, BC Cancer, Vancouver Centre, Vancouver, British Columbia, Canada
| | - Kenny Sek
- Department of Nuclear Medicine, BC Cancer, Vancouver Centre, Vancouver, British Columbia, Canada
| | - Gareth Ayre
- Department of Radiation Oncology, BC Cancer, Vancouver Centre, Vancouver, British Columbia, Canada
| | - Maria Aparicio
- Department of Radiation Oncology, BC Cancer, Vancouver Centre, Vancouver, British Columbia, Canada
| | - Lovedeep Gondara
- Cancer Surveillance and Outcomes, BC Cancer, Vancouver Centre, Vancouver, British Columbia, Canada
| | - Caroline Speers
- Cancer Surveillance and Outcomes, BC Cancer, Vancouver Centre, Vancouver, British Columbia, Canada
| | - Alan Nichol
- Department of Radiation Oncology, BC Cancer, Vancouver Centre, Vancouver, British Columbia, Canada.
- Cancer Surveillance and Outcomes, BC Cancer, Vancouver Centre, Vancouver, British Columbia, Canada.
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Schiller K, Stöhrer L, Düsberg M, Borm K, Devecka M, Vogel MME, Tauber R, Heck MM, Rauscher I, Eiber M, Gschwend JE, Duma MN, Combs SE. PSMA-PET/CT-based Lymph Node Atlas for Prostate Cancer Patients Recurring After Primary Treatment: Clinical Implications for Salvage Radiation Therapy. Eur Urol Oncol 2020; 4:73-83. [PMID: 32451312 DOI: 10.1016/j.euo.2020.04.004] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2020] [Revised: 04/06/2020] [Accepted: 04/17/2020] [Indexed: 01/21/2023]
Abstract
BACKGROUND Many patients experience recurrence of prostate cancer after radical prostatectomy. OBJECTIVE The aim of this study was to visually analyze typical patterns of lymph node (LN) involvement for prostate cancer (PC) patients with biochemical recurrence after radical prostatectomy and lymphadenectomy by creating a color-coded heat map using gallium-68 prostate-specific membrane antigen positron emission tomography (68Ga-PSMA-PET) imaging. Further, we evaluated which LNs were covered by the Radiation Therapy Oncology Group (RTOG) clinical target volume (CTV) contouring guidelines. DESIGN, SETTING, AND PARTICIPANTS A total of 1653 68Ga-PSMA-PET/computed tomography (CT) datasets were screened retrospectively. After meeting the eligibility criteria, 233 patients with 799 LN metastases were included in our study. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS We created a comprehensive three-dimensional color-coded LN atlas. Further, the coverage of LN metastases by RTOG CTV was assessed and stratification for risk factors was performed. RESULTS AND LIMITATIONS In the overall, mainly high risk, collective, complete coverage by the standard RTOG CTV was accomplished in 31.0% of all LN metastases. The vast majority of uncovered LNs are situated in the para-aortal, pararectal, paravesical, preacetabular, presacral, and inguinal regions. Concerning examined stratification factors, prostate-specific antigen (PSA) levels at the time of PET/CT imaging had the highest predictive value for extrapelvic metastatic LN spread. Every increase of 1 ng/mL in PSA raises the risk of metastases outside the CTV by a factor of 1.43. CONCLUSIONS We developed the first LN atlas for patients with recurrent PC using a heat map technique, in order to illustrate hot spots of LN recurrence. The vast majority of detected LNs are not covered by a standard CTV as recommended by the RTOG. Application of the standard RTOG CTV for pelvic irradiation in the salvage setting for high-risk PC patients seems to be inappropriate. PATIENT SUMMARY We visualized typical lymph node recurrence sites for patients after prostate cancer surgery.
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Affiliation(s)
- Kilian Schiller
- Department of Radiation Oncology, Technical University Munich (TUM), Munich, Germany.
| | - Lucia Stöhrer
- Department of Radiation Oncology, Technical University Munich (TUM), Munich, Germany
| | - Mathias Düsberg
- Department of Radiation Oncology, Technical University Munich (TUM), Munich, Germany
| | - Kai Borm
- Department of Radiation Oncology, Technical University Munich (TUM), Munich, Germany
| | - Michal Devecka
- Department of Radiation Oncology, Technical University Munich (TUM), Munich, Germany
| | - Marco M E Vogel
- Department of Radiation Oncology, Technical University Munich (TUM), Munich, Germany
| | - Robert Tauber
- Department of Urology, Technical University Munich (TUM), Munich, Germany
| | - Matthias M Heck
- Department of Urology, Technical University Munich (TUM), Munich, Germany
| | - Isabel Rauscher
- Department of Nuclear Medicine, Technical University Munich (TUM), Munich, Germany
| | - Matthias Eiber
- Department of Nuclear Medicine, Technical University Munich (TUM), Munich, Germany
| | - Jürgen E Gschwend
- Department of Urology, Technical University Munich (TUM), Munich, Germany
| | - Marciana Nona Duma
- Department of Radiation Oncology, Technical University Munich (TUM), Munich, Germany; Department of Radiation Oncology, Friedrich-Schiller University Jena, Jena, Germany
| | - Stephanie E Combs
- Department of Radiation Oncology, Technical University Munich (TUM), Munich, Germany; Department of Radiation Sciences (DRS), Institute of Radiation Medicine (IRM), Helmholtz Zentrum München, Munich, Germany; Deutsches Konsortium für Translationale Krebsforschung (DKTK), Partner Site Munich, Munich, Germany
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Keilty D, Nezafat Namini S, Swain M, Maganti M, Cil TD, McCready DR, Cescon DW, Amir E, Fleming R, Mulligan AM, Fyles A, Croke JM, Liu FF, Levin W, Koch CA, Han K. Patterns of Recurrence and Predictors of Survival in Breast Cancer Patients Treated with Neoadjuvant Chemotherapy, Surgery, and Radiation. Int J Radiat Oncol Biol Phys 2020; 108:676-685. [PMID: 32407932 DOI: 10.1016/j.ijrobp.2020.04.044] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2020] [Revised: 04/29/2020] [Accepted: 04/30/2020] [Indexed: 11/29/2022]
Abstract
PURPOSE Neoadjuvant chemotherapy (NAC) is standard of care for locally advanced breast cancer. There is wide variation in radiation therapy (RT) practice and limited data describing locoregional relapse (LRR) after NAC. We hypothesized a low LRR risk with modern NAC, surgery, and RT and aimed to elucidate patterns of LRR and predictors of disease-free survival (DFS) and overall survival (OS) in these patients. METHODS AND MATERIALS Data from 416 patients with stage II/III breast cancer treated between 2008 and 2015 with NAC, surgery, and adjuvant RT were reviewed retrospectively. DFS and OS rates were calculated using the Kaplan-Meier method. The LRR rate was estimated using the cumulative incidence function, treating death as a competing risk. Multivariable survival analysis was performed using Cox regression. RESULTS Median follow-up was 4.7 years. Most patients had cT2/3 (74%) cN1 (61%) disease and underwent mastectomy (75%) and axillary dissection (84%). Pathologic complete response (pCR) was achieved in 22% of patients. There were 27 LRRs (including 4 isolated LRRs) and 89 distant failures. Two patients developed LRR 2 months after surgery, before adjuvant RT. LRR could be mapped in 23 patients: most (20) recurred within the RT field; 1 in- and out-of-field; and 2 out-of-field. Five-year LRR, DFS, and OS were 6.4%, 77%, and 90%, respectively. On multivariable analysis, triple-negative subtype (hazard ratio [HR] 2.82; 95% confidence interval [CI], 1.78-4.47; P < .001), stage III disease (HR 1.72; 95% CI, 1.11-2.69; P = .016), and non-pCR (HR 4.76; 95% CI 2.13-10.0; P < .001) were associated with poor DFS and OS (HR 4.13 [95% CI, 2.21-7.72; P < .001]; HR 1.94 [95% CI, 1.001-3.75; P = .049]; and HR 2.38 [95% CI, 0.98-5.88; P = .055], respectively). CONCLUSIONS Patients with breast cancer treated with modern NAC, surgery, and RT have a low 5-year LRR risk, with the majority occurring in-field. Triple-negative subtype, stage III disease, and non-pCR were associated with inferior DFS and OS.
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Affiliation(s)
- Dana Keilty
- Radiation Medicine Program, University of Toronto Department of Radiation Oncology, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Shirin Nezafat Namini
- Radiation Medicine Program, University of Toronto Department of Radiation Oncology, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Monali Swain
- Radiation Medicine Program, University of Toronto Department of Radiation Oncology, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Manjula Maganti
- Department of Biostatistics, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Tulin D Cil
- Department of Surgical Oncology, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - David R McCready
- Department of Surgical Oncology, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - David W Cescon
- Department of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Eitan Amir
- Department of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Rachel Fleming
- Joint Department of Medical Imaging, Women's College Hospital, University of Toronto, Toronto, ON, Canada
| | - Anna Marie Mulligan
- Laboratory Medicine Program, Toronto General Hospital, University Health Network, Toronto, ON, Canada
| | - Anthony Fyles
- Radiation Medicine Program, University of Toronto Department of Radiation Oncology, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Jennifer M Croke
- Radiation Medicine Program, University of Toronto Department of Radiation Oncology, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Fei-Fei Liu
- Radiation Medicine Program, University of Toronto Department of Radiation Oncology, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Wilfred Levin
- Radiation Medicine Program, University of Toronto Department of Radiation Oncology, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - C Anne Koch
- Radiation Medicine Program, University of Toronto Department of Radiation Oncology, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada
| | - Kathy Han
- Radiation Medicine Program, University of Toronto Department of Radiation Oncology, Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.
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Kowalski ES, Feigenberg SJ, Cohen J, Fellows Z, Vadnais P, Rice S, Mishra MV, Molitoris JK, Nichols EM, Snider JW. Optimal Target Delineation and Treatment Techniques in the Era of Conformal Photon and Proton Breast and Regional Nodal Irradiation. Pract Radiat Oncol 2020; 10:174-182. [DOI: 10.1016/j.prro.2019.11.010] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2019] [Revised: 10/27/2019] [Accepted: 11/14/2019] [Indexed: 12/16/2022]
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Loganadane G, Truong PT, Taghian AG, Tešanović D, Jiang M, Geara F, Moran MS, Belkacemi Y. Comparison of Nodal Target Volume Definition in Breast Cancer Radiation Therapy According to RTOG Versus ESTRO Atlases: A Practical Review From the TransAtlantic Radiation Oncology Network (TRONE). Int J Radiat Oncol Biol Phys 2020; 107:437-448. [PMID: 32334035 DOI: 10.1016/j.ijrobp.2020.04.012] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2019] [Revised: 04/02/2020] [Accepted: 04/08/2020] [Indexed: 01/05/2023]
Abstract
Regional nodal irradiation has gained interest in recent years with the publication of several important randomized trials and the availability of more conformal techniques. Target volume delineation represents a critical step in the radiation planning process. Adequate coverage of the microscopic tumor spread to regional lymph nodes must be weighed against exposure of critical structures such as the heart and lungs. Among available guidelines for delineating the clinical target volume for the breast/chest wall and regional nodes, the Radiation Therapy Oncology Group and European Society for Radiotherapy and Oncology guidelines are the most widely used internationally. These guidelines have been formulated based on anatomic boundaries of areas historically covered in 2-dimensional field-based radiation therapy but have not been validated by patterns-of-failure studies. In recent years, an important body of data has emerged from mapping studies documenting patterns of local and regional recurrence. We aim to review, discuss, and compare contouring guidelines for breast cancer radiation therapy in the context of contemporary data on locoregional relapse to improve their implementation in modern practice.
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Affiliation(s)
- Gokoulakrichenane Loganadane
- Henri Mondor Breast Center and Department of Radiation Oncology, APHP; University of Paris-Est Creteil (UPEC) and INSERM Unit 955 - Team 21. Creteil, France
| | - Pauline T Truong
- Department of Radiation Oncology, British Columbia Cancer Agency and University of British Columbia, Vancouver, Canada
| | - Alphonse G Taghian
- Department of Radiation Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
| | - Dušanka Tešanović
- Medical Faculty of University of Novi Sad, Novi Sad and Oncology Institute of Vojvodina, Sremska Kamenica, Serbia
| | - Mawei Jiang
- University Hospital of Xinhua and Jiao Tong University, Shanghai, China
| | - Fady Geara
- Department of Radiation Oncology, American University of Beirut, Beirut, Lebanon
| | - Meena S Moran
- Department of Radiation Oncology, Yale University School of Medicine, Smilow Cancer Center, New Haven, Connecticut
| | - Yazid Belkacemi
- Henri Mondor Breast Center and Department of Radiation Oncology, APHP; University of Paris-Est Creteil (UPEC) and INSERM Unit 955 - Team 21. Creteil, France.
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Duma MN. An Update on Regional Nodal Irradiation: Indication, Target Volume Delineation, and Radiotherapy Techniques. Breast Care (Basel) 2020; 15:128-135. [PMID: 32398981 DOI: 10.1159/000507040] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2019] [Accepted: 03/09/2020] [Indexed: 12/15/2022] Open
Abstract
Background Tremendous changes have occurred in the treatment of breast cancer. This paper reviews and unifies the available data on modern axillary management of breast cancer patients with focus on the target volume delineation for regional nodal irradiation according to the most important contouring guidelines, the European Society for Radiotherapy and Oncology (ESTRO) and the Radiation Therapy and Oncology Group (RTOG). Summary The use of extensive radiotherapy target volumes (level I, II, III, IV) is probably not necessary for all patients to reproduce the clinical benefit shown in the available randomized trials (EORTC, MA.20, AMAROS, Z0011). Nevertheless, given the results in the MA.20 trial, where the patients received more modern systemic therapies and high irradiation doses in the medial paraclavicular region (level IV) and level II, it can be justified to include these regions completely in selected high-risk patients. Key Messages High-tangent irradiation results in a similar dose distribution in axillary levels I and II compared to the AMAROS treatment field design in some patients. This supports earlier assumptions that irradiation may have accounted for the good results after sentinel lymph node dissection alone in the Z0011 trial. The ESTRO and RTOG clinical target volume (CTV) definitions cover sufficiently the metastatic lymph node hotspots, with a better coverage for the ESTRO CTV. Further, contouring according to the ESTRO would spare a significantly larger part of the healthy lymphatic system, making it our preferred contouring atlas. Modern radiotherapy techniques, such as deep inspiration breath hold, should be cautiously employed in patients treated according to the inclusion criteria of the Z0011 as it will result in a lower dose to the axillary levels.
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Affiliation(s)
- Marciana Nona Duma
- Department of Radiotherapy and Radiation Oncology, University Hospital of the Friedrich Schiller University, Jena, Germany
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Wang X, Wang W, Li JB, Huo ZW, Xu M, Qiu PF, Zhang YJ, Li FX, Wang JZ. Definition of Internal Mammary Node Target Volume Based on the Position of the Internal Mammary Sentinel Lymph Nodes Presented on SPECT/CT Fusion Images. Front Oncol 2020; 9:1553. [PMID: 32083014 PMCID: PMC7005200 DOI: 10.3389/fonc.2019.01553] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2019] [Accepted: 12/23/2019] [Indexed: 11/13/2022] Open
Abstract
Purpose: Mapping the distribution of internal mammary sentinel lymph nodes (IM-SLNs) presented on single photon emission computed tomography in conjunction with computed tomography (SPECT/CT) images to explore the value of IM-SLN to guide tailored clinical target volume (CTV) delineation of postoperative prophylactic IMNI. Materials and methods: Ninety-seven patients who underwent preoperative lymphoscintigraphy by SPECT/CT and had imaging of IM-SLN were selected in this study. The imaging IM-SLNs on SPECT/CT of eligible patients were projected onto corresponding anatomical positions of a representative axial CT image. The IMN CTVs were delineated on the representative axial CT images according to the Radiation Therapy Oncology Group (RTOG) and Danish Breast Cancer Cooperative Group (DBCG) guideline, and defined as CTVRTOG and CTVDBCG. The location of the IM-SLNs was compared with the RTOG and DBCG guidelines of IMN target volume delineations, respectively. The intercostal space distribution of IM-SLNs was recorded. The distances from the CTVRTOG and CTVDBCG to the IM-SLNs were measured, respectively. Results: The total number of imaging IM-SLNs was 136. IM-SLNs were mostly found in the first intercostal space (40.4%), with 30.2, 24.3, 4.4, and 0.7% of IM-SLNs in the second, third, fourth, and fifth intercostal space, respectively. The average distance from the edge of the CTVRTOG and the edge of CTVDBCG to the central points of the IM-SLNs was 4.10 mm (SD, 3.3 mm) and 1.60 mm (SD, 2.6 mm), respectively (t = 16.640, P = 0.000). The average distance from the edge of CTVRTOG and the edge of CTVDBCG to the lateral border IM-SLN was 6.40 mm (SD, 3.5 mm) and 3.34 mm (SD, 3.3 mm), respectively (t = 19.815, P = 0.000). Only 18.4% of IM-SLN central points were included in the CTVRTOG, and 60.3% of IM-SLN central points were included in the CTVDBCG. When covering 90 and 100% of the IM-SLN center points, the CTVRTOG needs to expand 8 and 15 mm, respectively, and the CTVDBCG needs to expand 5 and 13 mm, respectively. Conclusion: Neither the RTOG nor DBCG consensus guideline about the delineation of IMN CTV was sufficient to cover 90% of IM-SLNs. For 90% coverage of IM-SLN central points, CTVRTOG needed to be expanded by 8 mm, and CTVDBCG needed to be expanded by 5 mm.
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Affiliation(s)
- Xue Wang
- School of Medicine and Life Sciences, University of Jinan-Shandong Academy of Medical Sciences, Jinan, China.,Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Wei Wang
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Jian-Bin Li
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Zong-Wei Huo
- Department of Nuclear Medicine, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Min Xu
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Peng-Fei Qiu
- Department of Breast Surgery, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Ying-Jie Zhang
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Feng-Xiang Li
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Jin-Zhi Wang
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
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Almahariq MF, Maywood MJ, Levitin RB, Squires BS, Jawad MS, Chen PY, Gustafson GS, Dilworth JT. Mapping of Metastatic Level I Axillary Lymph Nodes in Patients with Newly Diagnosed Breast Cancer. Int J Radiat Oncol Biol Phys 2020; 106:811-820. [PMID: 31928847 DOI: 10.1016/j.ijrobp.2019.12.010] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2019] [Revised: 11/27/2019] [Accepted: 12/04/2019] [Indexed: 11/15/2022]
Abstract
PURPOSE We examined the distribution of pretreatment nodal metastases to the level I axilla (Ax-L1) to assess the appropriateness of current breast atlases and provide guidelines in relationship to easily identifiable anatomic landmarks for accurate delineation of this lymph node (LN) basin. METHODS AND MATERIALS Patients with newly diagnosed breast cancer and biopsy-proven metastatic Ax-L1 LNs were identified. We related the location of each LN to its most adjacent rib and its distance from the bottom of the humeral head, axillary vessels, and a line connecting the anterior aspects of the pectoralis and latissimus dorsi muscles (P-L line). LNs were mapped onto a representative planning computed tomography scan, and their distribution was used to validate the current Radiation Therapy Oncology Group, European Society for Radiotherapy and Oncology, and Radiotherapy Comparative Effectiveness breast atlases. Furthermore, we examined metastases to a subregion encompassing the superolateral Ax-L1, irradiation of which correlates highly with lymphedema. RESULTS We identified 106 eligible patients with 107 biopsied LNs. All LNs fell between the second and fifth ribs (mean, 3.8 ± 0.56). Mean distance from the inferior aspect of the humeral head was 4.3 ± 1.6 cm (range, 0.3-8.4). Mean distance from the inferior aspect of the axillary vessels was 2.9 ± 1.5 cm (range, -0.6 to 5.4). Mean distance from the P-L line was 0.01 ± 1.9 cm (range, -2.2 to 2.4); negative and positive values denote medial or lateral to the P-L line. A Radiation Therapy Oncology Group-compliant Ax-L1 consensus contour, created from contours by 4 attending breast radiation oncologists, partially or fully missed 45% of mapped LNs. European Society for Radiotherapy and Oncology- and Radiotherapy Comparative Effectiveness-compliant Ax-L1 similarly missed 46% and 34% of mapped LNs, respectively. LNs were most frequently missed in the lateral direction. The superolateral Ax-L1 encompassed 9.3% of the mapped LNs. CONCLUSIONS A significant percentage of at-risk Ax-L1 tissue falls outside current contouring atlases. We propose expansion of the recommended Ax-L1 borders, most notably in the lateral direction.
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Affiliation(s)
| | - Michael J Maywood
- Oakland University William Beaumont School of Medicine, Rochester, Michigan
| | - Ronald B Levitin
- Department of Radiation Oncology, Beaumont Health, Royal Oak, Michigan
| | - Bryan S Squires
- Department of Radiation Oncology, Beaumont Health, Royal Oak, Michigan
| | - Maha S Jawad
- Department of Radiation Oncology, Beaumont Health, Royal Oak, Michigan
| | - Peter Y Chen
- Department of Radiation Oncology, Beaumont Health, Royal Oak, Michigan
| | | | - Joshua T Dilworth
- Department of Radiation Oncology, Beaumont Health, Royal Oak, Michigan.
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Variability in lymph node irradiation in patients with breast cancer-results from a multi-center survey in German-speaking countries. Strahlenther Onkol 2019; 196:15-22. [PMID: 31722060 DOI: 10.1007/s00066-019-01537-3] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Accepted: 10/23/2019] [Indexed: 10/25/2022]
Abstract
PURPOSE Lymph node irradiation in breast cancer has gained complexity due to recently published studies and technical innovations which then led to changes in international guidelines. We sought to determine real-time variability in lymph node irradiation in clinical practice in German-speaking countries. METHODS The Department of Radiation Oncology, Technical University of Munich (TUM), developed an online-based questionnaire focusing on the indication, target definition, and treatment technique of lymph node irradiation in patients with breast cancer. The invitation to participate in the survey was sent to members of the German Society of Radiation Oncology (DEGRO) by e‑mail. The results of the survey were exported from the online platform into SPSS for a detailed analysis. RESULTS In total, 100 physicians completed the questionnaire between 05/2019 and 06/2019. Despite the existence of several treatment and contouring guidelines, we observed large variability of lymph node irradiation: The guideline recommendation for internal mammary irradiation is not consistently implemented in clinical practice and irradiation of the axilla after positive SLNB (sentinel lymph node biopsy) or ALND (axillary lymph node dissection) is handled very differently. Furthermore, in most clinics, the ESTRO (European Society for Therapeutic Radiology and Oncology) contouring consensus is not used, and PTV (planning target volume) definitions and margins vary considerably. CONCLUSION Further clinical studies should be performed with a particular focus on radiotherapy for lymphatic drainage to support and amend the existing guidelines. These studies should establish a more standardized treatment of the lymph node regions in clinical practice. Quality assurance should enforce broad implementation of consensus recommendations.
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Gross JP, Lynch CM, Flores AM, Jordan SW, Helenowski IB, Gopalakrishnan M, Cutright D, Donnelly ED, Strauss JB. Determining the Organ at Risk for Lymphedema After Regional Nodal Irradiation in Breast Cancer. Int J Radiat Oncol Biol Phys 2019; 105:649-658. [DOI: 10.1016/j.ijrobp.2019.06.2509] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2019] [Revised: 06/14/2019] [Accepted: 06/17/2019] [Indexed: 10/26/2022]
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Adra J, Lundstedt D, Killander F, Holmberg E, Haghanegi M, Kjellén E, Karlsson P, Alkner S. Distribution of Locoregional Breast Cancer Recurrence in Relation to Postoperative Radiation Fields and Biological Subtypes. Int J Radiat Oncol Biol Phys 2019; 105:285-295. [PMID: 31212042 DOI: 10.1016/j.ijrobp.2019.06.013] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2019] [Revised: 05/28/2019] [Accepted: 06/01/2019] [Indexed: 01/17/2023]
Abstract
PURPOSE To investigate incidence and location of locoregional recurrence (LRR) in patients who have received postoperative locoregional radiation therapy (LRRT) for primary breast cancer. LRR-position in relation to applied radiotherapy and the primary tumor biological subtype were analyzed with the aim of evaluating current target guidelines and radiation therapy techniques in relation to tumor biology. METHODS AND MATERIALS Medical records were reviewed for all patients who received postoperative LRRT for primary breast cancer in southwestern Sweden from 2004 to 2008 (N = 923). Patients with LRR as a first event were identified (n = 57; distant failure and death were considered competing risks). Computed tomographic images identifying LRR were used to compare LRR locations with postoperative LRRT fields. LRR risk and distribution were then related to the primary breast cancer biologic subtype and to current target guidelines. RESULTS Cumulative LRR incidence after 10 years was 7.1% (95% confidence interval [CI], 5.5-9.1). Fifty-seven of the 923 patients in the cohort developed LRR (30 local recurrences and 30 regional recurrences, of which 3 cases were simultaneous local and regional recurrence). Most cases of LRR developed fully (56%) or partially (26%) within postoperatively irradiated areas. The most common location for out-of-field regional recurrence was cranial to radiation therapy fields in the supraclavicular fossa. Patients with an estrogen receptor negative (ER-) (hazard ratio [HR], 4.6; P < .001; 95% CI, 2.5-8.4) or HER2+ (HR, 2.4; P = .007; 95% CI, 1.3-4.7) primary breast cancer presented higher risks of LRR compared with those with ER+ tumors. ER-/HER2+ tumors more frequently recurred in-field (68%) rather than marginally or out-of-field (32%). In addition, 75% of in-field recurrences derived from an ER- or HER+ tumor, compared with 45% of marginal or out-of-field recurrences. A complete pathologic response in the axilla after neoadjuvant treatment was associated with a lower degree of LRR risk (P = .022). CONCLUSIONS Incidence and location of LRR seem to be related to the primary breast cancer biologic subtype. Individualized LRRT according to tumor biology may be applied to improve outcomes.
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Affiliation(s)
- Jamila Adra
- Department of Oncology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Sahgrenska University Hospital, Gothenburg, Sweden
| | - Dan Lundstedt
- Department of Oncology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Sahgrenska University Hospital, Gothenburg, Sweden
| | - Fredrika Killander
- Division of Oncology and Pathology, Institute of Clinical Sciences, Lund University, Skane University Hospital, Lund, Sweden
| | - Erik Holmberg
- Department of Oncology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Sahgrenska University Hospital, Gothenburg, Sweden
| | - Mahnaz Haghanegi
- Division of Oncology and Pathology, Institute of Clinical Sciences, Lund University, Skane University Hospital, Lund, Sweden
| | - Elisabeth Kjellén
- Division of Oncology and Pathology, Institute of Clinical Sciences, Lund University, Skane University Hospital, Lund, Sweden
| | - Per Karlsson
- Department of Oncology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Sahgrenska University Hospital, Gothenburg, Sweden
| | - Sara Alkner
- Division of Oncology and Pathology, Institute of Clinical Sciences, Lund University, Skane University Hospital, Lund, Sweden.
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Byun HK, Chang JS, Kim YB. In Regard to Borm et al. Int J Radiat Oncol Biol Phys 2019; 103:778-779. [DOI: 10.1016/j.ijrobp.2018.10.017] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2018] [Revised: 09/13/2018] [Accepted: 10/15/2018] [Indexed: 11/25/2022]
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