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Gille R, Allignet B, Izarn F, Peyrat P, Boyle H, Fléchon A. Bone Metastases in Non-Seminomatous Germ Cell Tumors: A 20-Year Retrospective Analysis. J Clin Med 2024; 13:3280. [PMID: 38892991 PMCID: PMC11172778 DOI: 10.3390/jcm13113280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2024] [Revised: 05/26/2024] [Accepted: 05/31/2024] [Indexed: 06/21/2024] Open
Abstract
Background: Non-seminomatous germ cell tumors (NSGCTs) represent a rare yet the most prevalent malignancy among young men. Bone metastases (BMs) are exceedingly uncommon in this neoplasm, and available data regarding the initial disease presentation, survival outcomes, and prognostic significance of BMs are limited. Methods: We conducted a retrospective analysis of 40 NSGCT patients with BMs treated between 2001 and 2021 in our tertiary care center. The cohort was stratified into synchronous (n = 29) and metachronous (n = 11) groups based on the presence of BM at diagnosis or only at relapse, respectively. We assessed overall survival (OS), progression-free survival (PFS), disease presentation, and treatments. Results: After a median follow-up of 93 months, the 5-year PFS and OS rates were 37.6% and 53.9% in the synchronous group and 18.2% and 36.4% in the metachronous group, respectively. At the initial diagnosis, most patients were classified into the IGCCCG poor prognostic group (n = 34, 85%). BMs were mostly asymptomatic (n = 23, 57.5%), involved the spine (n = 37, 92.5%), and could become visible only after disease response (n = 4, 10%). A pathological examination of resected bone lesions after first-line treatment revealed necrosis (n = 5, 71.4%), teratoma, or seminoma (both n = 1, 14.3%). At first relapse, eight patients in the synchronous group did not experience bone recurrence, while eight patients experienced recurrence at the initial affected bone site. Conclusions: In NSGCT patients, BMs often present asymptomatically and may initially be unnoticed. However, these patients may have a poorer prognosis compared to those in the IGCCCG poor prognostic group. Further studies including control groups are needed to assess the independent prognostic significance of BMs.
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Affiliation(s)
- Romane Gille
- Campus Lyon Sud Charles Mérieux, University Claude-Bernard Lyon 1, 69921 Oullins-Pierre-Bénite, France;
- Department of Medical Oncology, Centre Léon Bérard, 28 rue Laennec, 69673 Lyon Cedex, France; (H.B.); (A.F.)
| | - Benoît Allignet
- Department of Radiation Oncology, Centre Léon Bérard, 28 rue Laennec, 69673 Lyon Cedex, France;
- Univ Lyon, INSA-Lyon, Université Claude Bernard Lyon 1 , CNRS, Inserm, CREATIS UMR 5220, U1294, 69621 Lyon, France
| | - Floriane Izarn
- Campus Lyon Sud Charles Mérieux, University Claude-Bernard Lyon 1, 69921 Oullins-Pierre-Bénite, France;
- Department of Medical Oncology, Centre Léon Bérard, 28 rue Laennec, 69673 Lyon Cedex, France; (H.B.); (A.F.)
| | - Patrice Peyrat
- Department of Surgery, Centre Léon Bérard, 28 rue Laennec, 69673 Lyon Cedex, France;
| | - Helen Boyle
- Department of Medical Oncology, Centre Léon Bérard, 28 rue Laennec, 69673 Lyon Cedex, France; (H.B.); (A.F.)
| | - Aude Fléchon
- Department of Medical Oncology, Centre Léon Bérard, 28 rue Laennec, 69673 Lyon Cedex, France; (H.B.); (A.F.)
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He M, Wang D, Li H, Sun M, Yan P, Zhang Y, Li L, Yu D, Wang X, Hu Y. Value of CT-based radiomics in evaluating the response of bone metastases to systemic drug therapy in breast cancer patients. Thorac Cancer 2024; 15:361-368. [PMID: 38155425 PMCID: PMC10864122 DOI: 10.1111/1759-7714.15199] [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: 09/26/2023] [Revised: 12/05/2023] [Accepted: 12/07/2023] [Indexed: 12/30/2023] Open
Abstract
BACKGROUND This study aimed to investigate the value of nonenhanced computed tomography (CT)-based radiomics in determining disease progression in breast cancer patients with bone marrow metastases and to develop a model for assessing treatment efficacy. METHODS A total of 134 breast cancer patients with bone metastases were enrolled from three hospitals. Nonenhanced CT was performed after two cycles of drug treatment. The images were categorized into an invalid and a valid group according to disease progression status. The largest osteolytic lesions' maximum cross-sections in the CT images were selected as regions of interest (ROIs) for feature extraction. Variance threshold, SelectKBest, and least absolute shrinkage and selection operator (LASSO) were used to reduce feature dimensionality. K-nearest neighbor algorithm (KNN), support vector machine (SVM), extreme gradient boosting (XGBoost), random forest (RF), logistic regression (LR), and decision tree (DT) algorithms were trained to establish radiomics models. Receiver operating characteristic (ROC) curves were generated to evaluate the diagnostic performance of the models. RESULTS The KNN classifier demonstrated the best performance compared to the random grouping method. In the validation group, the area under the ROC curve (AUC) was 0.810. In the cross-validation method, the RF classifier showed the best performance with an AUC of 0.84. CONCLUSION Nonenhanced CT-based radiomics provides a promising method for evaluating the efficacy of systemic drug therapy in breast cancer patients with osteolytic bone metastases.
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Affiliation(s)
- Miao He
- Department of Medical OncologyQilu Hospital, Cheeloo College of Medicine, Shandong UniversityJinanChina
- Department of Medical OncologyQilu Hospital (Qingdao), Cheeloo College of Medicine, Shandong UniversityQingdaoChina
| | - Dongdong Wang
- Department of RadiologyQilu Hospital, Cheeloo College of Medicine, Shandong UniversityJinanChina
| | - Huijie Li
- Department of OncologyAffiliated Hospital of Shandong University of Traditional Chinese MedicineJinanChina
| | - Meili Sun
- Department of OncologyJinan Central Hospital, Cheeloo College of Medicine, Shandong UniversityJinanChina
- Department of OncologyCentral Hospital Affiliated to Shandong First Medical UniversityJinanChina
| | - Peng Yan
- Department of OncologyJinan Central Hospital, Cheeloo College of Medicine, Shandong UniversityJinanChina
- Department of OncologyCentral Hospital Affiliated to Shandong First Medical UniversityJinanChina
| | - Yongyuan Zhang
- Department of Medical AffairsQilu Hospital, Cheeloo College of Medicine, Shandong UniversityJinanChina
| | - Li Li
- Department of Medical OncologyQilu Hospital, Cheeloo College of Medicine, Shandong UniversityJinanChina
| | - Dexin Yu
- Department of RadiologyQilu Hospital, Cheeloo College of Medicine, Shandong UniversityJinanChina
| | - Xiuwen Wang
- Department of Medical OncologyQilu Hospital, Cheeloo College of Medicine, Shandong UniversityJinanChina
| | - Yu Hu
- Department of Medical OncologyQilu Hospital, Cheeloo College of Medicine, Shandong UniversityJinanChina
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Kanaoka K, Sumikawa H, Oyamada S, Tamiya A, Inagaki Y, Taniguchi Y, Nakao K, Matsuda Y, Okishio K. Osteoblastic bone reaction in non-small cell lung cancer harboring epidermal growth factor receptor mutation treated with osimertinib. BMC Cancer 2023; 23:834. [PMID: 37674153 PMCID: PMC10481568 DOI: 10.1186/s12885-023-11360-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Accepted: 09/01/2023] [Indexed: 09/08/2023] Open
Abstract
BACKGROUND Osteoblastic bone reaction (OBR) refers to an increase in bone density at the site of bone metastasis or the appearance of new sclerotic bone lesions after anticancer treatment. OBR can be misunderstood as disease progression. In this study, we aimed to investigate the prevalence and details of OBR and its association with clinical outcomes in patients with epidermal growth factor receptor (EGFR)-mutant non-small cell lung cancer (NSCLC) treated with osimertinib. METHODS This was a single-center, retrospective cohort study. We reviewed patients who were diagnosed with EGFR-mutant NSCLC with bone metastasis and received osimertinib as a first-line treatment between February 2018 and October 2022. The OBR was evaluated by comparing baseline computed tomography (CT) scans with the first CT scan after treatment initiation. RESULTS A total of 45 patients were included in this study. Thirty-seven patients (82%) developed OBR. OBR developed in 94% (n = 16) of patients with sclerotic bone lesions (n = 17) at baseline. Similarly, OBR developed in lytic and mixed bone lesions in 76% and 82% of patients with lytic and mixed lesions, respectively. Progression-free survival (PFS) did not differ significantly between patients with (OBR group) and without OBR (non-OBR group) (median PFS, 24 months vs. 17 months; hazard ratio (HR), 0.62; 95% CI, 0.24-1.6; p = 0.31). In univariate analysis, the OBR group showed a trend toward longer skeletal-related events-free survival (SRE-FS) than the non-OBR group (median SRE-FS, 26 months vs. 12 months; HR, 0.53; 95% CI, 0.21-1.33; p = 0.16). Multivariate analysis showed OBR was a significant independent predictor of SRE-FS (HR, 0.35; 95% CI, 0.13-0.92; p = 0.034). CONCLUSIONS OBR developed in most patients with NSCLC and bone metastasis who received osimertinib treatment. The increased incidence of OBR in patients with EGFR-mutant NSCLC with bone metastasis treated with osimertinib should not be confused with disease progression, and treatment decisions should be made carefully.
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Affiliation(s)
- Kensuke Kanaoka
- Department of Internal Medicine, National Hospital Organization Kinki-Chuo Chest Medical Center, 1180 Nagasone-Cho, Kitaku, Sakai City, Osaka, 591-8555, Japan.
| | - Hiromitsu Sumikawa
- Department of Radiology, National Hospital Organization Kinki-Chuo Chest Medical Center, 1180 Nagasone-Cho, Kitaku, Sakai City, Osaka, 591-8555, Japan
| | - Shunsuke Oyamada
- Department of Biostatistics, JORTC Data Center, 2-54-6-302 Nishi-Nippori, Arakawa-Ku, Tokyo, 116-0013, Japan
| | - Akihiro Tamiya
- Department of Internal Medicine, National Hospital Organization Kinki-Chuo Chest Medical Center, 1180 Nagasone-Cho, Kitaku, Sakai City, Osaka, 591-8555, Japan
| | - Yuji Inagaki
- Department of Internal Medicine, National Hospital Organization Kinki-Chuo Chest Medical Center, 1180 Nagasone-Cho, Kitaku, Sakai City, Osaka, 591-8555, Japan
| | - Yoshihiko Taniguchi
- Department of Internal Medicine, National Hospital Organization Kinki-Chuo Chest Medical Center, 1180 Nagasone-Cho, Kitaku, Sakai City, Osaka, 591-8555, Japan
| | - Keiko Nakao
- Department of Internal Medicine, National Hospital Organization Kinki-Chuo Chest Medical Center, 1180 Nagasone-Cho, Kitaku, Sakai City, Osaka, 591-8555, Japan
| | - Yoshinobu Matsuda
- Department of Internal Medicine, National Hospital Organization Kinki-Chuo Chest Medical Center, 1180 Nagasone-Cho, Kitaku, Sakai City, Osaka, 591-8555, Japan
| | - Kyoichi Okishio
- Department of Clinical Research Center, National Hospital Organization Kinki-Chuo Chest Medical Center, 1180 Nagasone-Cho, Kitaku, Sakai City, Osaka, 591-8555, Japan
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Fournier L, de Geus-Oei LF, Regge D, Oprea-Lager DE, D’Anastasi M, Bidaut L, Bäuerle T, Lopci E, Cappello G, Lecouvet F, Mayerhoefer M, Kunz WG, Verhoeff JJC, Caruso D, Smits M, Hoffmann RT, Gourtsoyianni S, Beets-Tan R, Neri E, deSouza NM, Deroose CM, Caramella C. Twenty Years On: RECIST as a Biomarker of Response in Solid Tumours an EORTC Imaging Group - ESOI Joint Paper. Front Oncol 2022; 11:800547. [PMID: 35083155 PMCID: PMC8784734 DOI: 10.3389/fonc.2021.800547] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2021] [Accepted: 11/30/2021] [Indexed: 12/15/2022] Open
Abstract
Response evaluation criteria in solid tumours (RECIST) v1.1 are currently the reference standard for evaluating efficacy of therapies in patients with solid tumours who are included in clinical trials, and they are widely used and accepted by regulatory agencies. This expert statement discusses the principles underlying RECIST, as well as their reproducibility and limitations. While the RECIST framework may not be perfect, the scientific bases for the anticancer drugs that have been approved using a RECIST-based surrogate endpoint remain valid. Importantly, changes in measurement have to meet thresholds defined by RECIST for response classification within thus partly circumventing the problems of measurement variability. The RECIST framework also applies to clinical patients in individual settings even though the relationship between tumour size changes and outcome from cohort studies is not necessarily translatable to individual cases. As reproducibility of RECIST measurements is impacted by reader experience, choice of target lesions and detection/interpretation of new lesions, it can result in patients changing response categories when measurements are near threshold values or if new lesions are missed or incorrectly interpreted. There are several situations where RECIST will fail to evaluate treatment-induced changes correctly; knowledge and understanding of these is crucial for correct interpretation. Also, some patterns of response/progression cannot be correctly documented by RECIST, particularly in relation to organ-site (e.g. bone without associated soft-tissue lesion) and treatment type (e.g. focal therapies). These require specialist reader experience and communication with oncologists to determine the actual impact of the therapy and best evaluation strategy. In such situations, alternative imaging markers for tumour response may be used but the sources of variability of individual imaging techniques need to be known and accounted for. Communication between imaging experts and oncologists regarding the level of confidence in a biomarker is essential for the correct interpretation of a biomarker and its application to clinical decision-making. Though measurement automation is desirable and potentially reduces the variability of results, associated technical difficulties must be overcome, and human adjudications may be required.
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Affiliation(s)
- Laure Fournier
- Imaging Group, European Organisation of Research and Treatment in Cancer (EORTC), Brussels, Belgium
- European Society of Oncologic Imaging (ESOI), European Society of Radiology, Vienna, Austria
- Université de Paris, Assistance Publique–Hôpitaux de Paris (AP-HP), Hopital europeen Georges Pompidou, Department of Radiology, Paris Cardiovascular Research Center (PARCC) Unité Mixte de Recherche (UMRS) 970, Institut national de la santé et de la recherche médicale (INSERM), Paris, France
| | - Lioe-Fee de Geus-Oei
- Imaging Group, European Organisation of Research and Treatment in Cancer (EORTC), Brussels, Belgium
- Department of Radiology, Leiden University Medical Center, Leiden, Netherlands
- Biomedical Photonic Imaging Group, University of Twente, Enschede, Netherlands
| | - Daniele Regge
- European Society of Oncologic Imaging (ESOI), European Society of Radiology, Vienna, Austria
- Department of Surgical Sciences, University of Turin, Turin, Italy
- Radiology Unit, Candiolo Cancer Institute, Fondazione del Piemonte per l’Oncologia-Istituto Di Ricovero e Cura a Carattere Scientifico (FPO-IRCCS), Turin, Italy
| | - Daniela-Elena Oprea-Lager
- Imaging Group, European Organisation of Research and Treatment in Cancer (EORTC), Brussels, Belgium
- Department of Radiology & Nuclear Medicine, Cancer Centre Amsterdam, Amsterdam University Medical Centers [Vrije Universiteit (VU) University], Amsterdam, Netherlands
| | - Melvin D’Anastasi
- European Society of Oncologic Imaging (ESOI), European Society of Radiology, Vienna, Austria
- Medical Imaging Department, Mater Dei Hospital, University of Malta, Msida, Malta
| | - Luc Bidaut
- Imaging Group, European Organisation of Research and Treatment in Cancer (EORTC), Brussels, Belgium
- College of Science, University of Lincoln, Lincoln, United Kingdom
| | - Tobias Bäuerle
- European Society of Oncologic Imaging (ESOI), European Society of Radiology, Vienna, Austria
- Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Egesta Lopci
- Imaging Group, European Organisation of Research and Treatment in Cancer (EORTC), Brussels, Belgium
- Nuclear Medicine Unit, Istituto Di Ricovero e Cura a Carattere Scientifico (IRCCS) – Humanitas Research Hospital, Milan, Italy
| | - Giovanni Cappello
- Department of Surgical Sciences, University of Turin, Turin, Italy
- Radiology Unit, Candiolo Cancer Institute, Fondazione del Piemonte per l’Oncologia-Istituto Di Ricovero e Cura a Carattere Scientifico (FPO-IRCCS), Turin, Italy
| | - Frederic Lecouvet
- Imaging Group, European Organisation of Research and Treatment in Cancer (EORTC), Brussels, Belgium
- Department of Radiology, Institut de Recherche Expérimentale et Clinique (IREC), Cliniques Universitaires Saint Luc, Université Catholique de Louvain (UCLouvain), Brussels, Belgium
| | - Marius Mayerhoefer
- European Society of Oncologic Imaging (ESOI), European Society of Radiology, Vienna, Austria
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, United States
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Wolfgang G. Kunz
- Imaging Group, European Organisation of Research and Treatment in Cancer (EORTC), Brussels, Belgium
- European Society of Oncologic Imaging (ESOI), European Society of Radiology, Vienna, Austria
- Department of Radiology, University Hospital, Ludwig Maximilian University (LMU) Munich, Munich, Germany
| | - Joost J. C. Verhoeff
- Imaging Group, European Organisation of Research and Treatment in Cancer (EORTC), Brussels, Belgium
- Department of Radiotherapy, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Damiano Caruso
- European Society of Oncologic Imaging (ESOI), European Society of Radiology, Vienna, Austria
- Department of Medical-Surgical Sciences and Translational Medicine, Sapienza University of Rome, Rome, Italy
| | - Marion Smits
- Imaging Group, European Organisation of Research and Treatment in Cancer (EORTC), Brussels, Belgium
- Department of Radiology & Nuclear Medicine, Erasmus MC, University Medical Centre Rotterdam, Rotterdam, Netherlands
- Brain Tumour Centre, Erasmus Medical Centre (MC) Cancer Institute, Rotterdam, Netherlands
| | - Ralf-Thorsten Hoffmann
- European Society of Oncologic Imaging (ESOI), European Society of Radiology, Vienna, Austria
- Institute and Policlinic for Diagnostic and Interventional Radiology, University Hospital, Carl-Gustav-Carus Technical University Dresden, Dresden, Germany
| | - Sofia Gourtsoyianni
- European Society of Oncologic Imaging (ESOI), European Society of Radiology, Vienna, Austria
- Department of Radiology, School of Medicine, National and Kapodistrian University of Athens, Areteion Hospital, Athens, Greece
| | - Regina Beets-Tan
- European Society of Oncologic Imaging (ESOI), European Society of Radiology, Vienna, Austria
- Department of Radiology, The Netherlands Cancer Institute, Amsterdam, Netherlands
- School For Oncology and Developmental Biology (GROW) School for Oncology and Developmental Biology, Maastricht University, Maastricht, Netherlands
| | - Emanuele Neri
- European Society of Oncologic Imaging (ESOI), European Society of Radiology, Vienna, Austria
- Diagnostic and Interventional Radiology, Department of Translational Research and of New Surgical and Medical Technologies, University of Pisa, Pisa, Italy
| | - Nandita M. deSouza
- Imaging Group, European Organisation of Research and Treatment in Cancer (EORTC), Brussels, Belgium
- Division of Radiotherapy and Imaging, The Institute of Cancer Research and Royal Marsden National Health Service (NHS) Foundation Trust, London, United Kingdom
- European Imaging Biomarkers Alliance (EIBALL), European Society of Radiology, Vienna, Austria
- Quantitative Imaging Biomarkers Alliance, Radiological Society of North America, Oak Brook, IL, United States
| | - Christophe M. Deroose
- Imaging Group, European Organisation of Research and Treatment in Cancer (EORTC), Brussels, Belgium
- Nuclear Medicine, University Hospitals Leuven, Leuven, Belgium
- Nuclear Medicine & Molecular Imaging, Department of Imaging and Pathology, Katholieke Universiteit (KU) Leuven, Leuven, Belgium
| | - Caroline Caramella
- Imaging Group, European Organisation of Research and Treatment in Cancer (EORTC), Brussels, Belgium
- Radiology Department, Hôpital Marie Lannelongue, Groupe Hospitalier Paris Saint Joseph Centre International des Cancers Thoraciques, Université Paris-Saclay, Le Plessis-Robinson, France
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Park S, Huh JD. Bone metastases with post-treatment intralesional fatty content of the spine: imaging features from T1-weighted imaging with CT finding correlations. Acta Radiol 2021; 64:153-163. [PMID: 34851180 DOI: 10.1177/02841851211058930] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Despite post-treatment intralesional fatty content (PIFAT) in bone metastases indicating a healing processes after treatment, the imaging features of PIFAT have not been studied in detail. PURPOSE To analyze imaging features from T1-weighted (T1W) imaging with computed tomography (CT) finding correlations in bone metastases with PIFAT of the spine. MATERIAL AND METHODS A total of 29 bone metastases with PIFAT were analyzed with T1W and CT images before and after treatment. On T1W imaging after treatment, the lesions were categorized into three types according to fat distribution patterns. CT attenuation changes after treatment were also evaluated. According to the MD Anderson (MDA) criteria, response types for all lesions were obtained on magnetic resonance (MR) and CT images. RESULTS The types from T1W imaging in bone metastases with PIFAT were as follows: 14 with a return to totally normal marrow signal intensity within the lesion; 13 with an inhomogeneous patchy pattern in the lesion; and two with a peripheral halo of fatty marrow or peripheral fat signal intensity foci in the lesion. Among bone metastases with PIFAT, 93.1% showed osteosclerotic changes in this study. According to the MDA criteria, the concordance between the response types of the MR and CT images was 57.2%. CONCLUSION Knowledge of imaging features from T1W imaging with CT correlation in bone metastases with PIFAT is important for the accurate interpretation of post-treatment MR and CT studies. Both MR and CT images have a complementary value regarding the post-treatment evaluation of bone metastases with PIFAT.
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Affiliation(s)
- Sekyoung Park
- Department of Radiology, Kosin University Gospel Hospital, Kosin University College of Medicine, Busan, Republic of Korea
| | - Jin Do Huh
- Department of Radiology, Kosin University Gospel Hospital, Kosin University College of Medicine, Busan, Republic of Korea
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Sala F, Dapoto A, Morzenti C, Firetto MC, Valle C, Tomasoni A, Sironi S. Bone islands incidentally detected on computed tomography: frequency of enostosis and differentiation from untreated osteoblastic metastases based on CT attenuation value. Br J Radiol 2019; 92:20190249. [PMID: 31469323 DOI: 10.1259/bjr.20190249] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
OBJECTIVE The frequency of enostosis incidentally found on CT and CT attenuation value to distinguish them from untreated osteoblastic metastases (UOM). METHODS Enostosis group: 46 polytrauma patients underwent thoracoabdominal CT. Inclusion criteria: age range 14-35 years. Exclusion criteria: cancer, previous fractures. UOM group: 20 patients with radiological diagnosis of UOM. Analyzed data: number, size, location and density of enostoses and metastases. The density was measured with the broadest possible region of interest at the center of the lesion by two radiologists independently. Receiver operatingcharacteristic analysis to determine the sensitivity and specificity, area under the curve 95% confidence intervals and cutoff values of CT density to differentiate metastases from enostoses. RESULTS Patients were 28 ± 7 years old (72% males). 41 (89%) patients had 124 enostoses (2-15 mm) with an average density of 1007 ± 122 Hounsfiled unit (HU, observer1) and 1052 ± 107 (observer2). The most common sites of occurrence were the proximal femur (34%), the pelvis (22%), the acetabulum (20%), the proximal humerus (11%), the vertebrae (11%) and the rib (2%). 13 patients had 1 bone island, 8 patients had 2, 9 cases had 3 and 11 cases had more than 3 enostoses. Overall, 114 UOM were evaluated, their average density was 728 ± 163 HU (observer1) and 712 ± 178 HU (observer2). The area under the curve value of mean density to distinguish enostoses from UOM was 0,982. Using a cut-off of 881 HU for mean density, sensitivity was 98% and specificity 95%. CONCLUSION The frequency of enostosis in this study is 89%. The average density identified can help to distinguish enostoses from UOM. ADVANCES IN KNOWLEDGE We report the exact frequency of enostosis.
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Affiliation(s)
| | - Annarita Dapoto
- Radiologist resident, Milano Bicocca University, ASST Papa Giovanni XXIII, Bergamo
| | - C Morzenti
- 3Radiologist, ASST Papa Giovanni XXIII, Bergamo
| | | | - Clarissa Valle
- Radiologist resident, Milano Bicocca University, ASST Papa Giovanni XXIII, Bergamo
| | - A Tomasoni
- Radiologist, ASST Papa Giovanni XXIII, Bergamo
| | - Sandro Sironi
- Professor of Radiology, Milano Bicocca University, ASST Papa Giovanni XXIII, Bergamo
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MRI-Guided Cryoablation of Epidural Malignancies in the Spinal Canal Resulting in Neural Decompression and Regrowth of Bone. AJR Am J Roentgenol 2018; 212:205-208. [PMID: 30247981 DOI: 10.2214/ajr.18.19951] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
OBJECTIVE The purpose of this article is to describe the use of MRI to safely monitor cryoablation for the treatment of spinal epidural malignancies. CONCLUSION Use of MRI guidance to monitor percutaneous cryoablation allows ablation margins more distinct than those allowed by heat-based ablation modalities. MRI-guided cryoablation is a feasible option for treating epidural tumors involving the spinal canal, resulting in successful decompression of the tumor away from the spinal cord with regrowth of previously eroded bone around the spinal canal.
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Osteoblastic bone response mimicking bone progression during treatment with pembrolizumab in advanced cutaneous melanoma. Anticancer Drugs 2018; 29:1026-1029. [PMID: 30095443 DOI: 10.1097/cad.0000000000000689] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Pembrolizumab is an immune checkpoint inhibitor approved for the treatment of patients with unresectable or metastatic melanoma. Appearance of bone metastases, either osteolytic or osteoblastic, during treatment qualifies as disease progression. We report the case of a 64-year-old White woman with a metastatic melanoma undergoing second-line treatment with pembrolizumab. At first evaluation, after 3 months of therapy, computed tomography scans showed the onset of osteosclerotic lesions and a significant reduction in all the previously identified metastases; on the contrary, a fluorine-18-fluorodeoxyglucose PET showed the normalization of fluorine-18-fluorodeoxyglucose uptake in all the baseline lesions, including bone metastases. Osteoblastic response, consisting of occurrence of new osteoblastic lesions on computed tomography imaging, as a consequence of an osteoblastic reaction of previously undetectable bone metastases, has been reported in some cancers that receive treatments such as chemotherapy, hormonal or targeted therapy. However, it had never been reported in patients with melanoma treated with immunotherapy. An apparent worsening of bone imaging on standard computed tomography scan in patients under checkpoint inhibitor should not lead to modification of treatment strategy, because misinterpretation as disease progression may lead to the premature cessation of a beneficial treatment and finally have a negative effect on patients' clinical outcome.
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Accuracy of CT Attenuation Measurement for Differentiating Treated Osteoblastic Metastases From Enostoses. AJR Am J Roentgenol 2018; 210:615-620. [PMID: 29323547 DOI: 10.2214/ajr.17.18638] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
OBJECTIVE The objective of our study was to assess whether the maximum and mean CT attenuations are accurate for differentiating between enostoses and treated sclerotic metastases. MATERIALS AND METHODS We retrospectively reviewed CT studies of 165 patients (167 lesions) that included 49 patients with 49 benign lesions, 69 patients with 71 sclerotic treated lesions, and 47 patients with 47 untreated lesions, and calculated the mean and maximum CT attenuations of each lesion. ROC curves were used to identify thresholds for differentiating enostoses from treated sclerotic metastases and from untreated sclerotic metastases. RESULTS The maximum CT attenuation of enostoses (1212.0 HU) was higher from that of untreated (754.7 HU) (p = 9.7 × 10-16) and that of treated (891.7 HU) (p = 9.9 × 10-10) sclerotic metastases. The maximum CT attenuation of treated sclerotic metastases (891.7 HU) was higher than that of untreated sclerotic metastases (754.7 HU) (p = 0.003). Enostoses had higher mean CT attenuation (1123.0 HU) than untreated (602.0 HU) (p < 2.2 × 10-16) and treated (731.7 HU) (p = 9.6 × 10-15) sclerotic metastases. A threshold mean CT attenuation of 885 HU had an accuracy of 91.7% and 81.7% to differentiate enostoses from untreated and treated metastases, respectively, whereas a threshold maximum CT attenuation of 1060.0 HU had an accuracy of 81.3% and 72.5% to differentiate enostoses from untreated and treated metastases. CONCLUSION The mean and maximum CT attenuations can differentiate between enostoses and sclerotic metastases; however, the accuracy of both metrics decreases after treatment.
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Quantitative contrast-enhanced CT attenuation evaluation of osseous metastases following chemotherapy. Skeletal Radiol 2017; 46:1385-1395. [PMID: 28667362 DOI: 10.1007/s00256-017-2706-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/03/2017] [Revised: 06/14/2017] [Accepted: 06/19/2017] [Indexed: 02/02/2023]
Abstract
PURPOSE Osseous metastases often undergo an osteoblastic healing response following chemotherapy. The purpose of our study was to demonstrate the quantitative CT changes in attenuation of osseous metastases before and after chemotherapy. MATERIALS AND METHODS Our study was IRB approved and HIPAA compliant. Our cohort consisted of 86 consecutive cancer patients with contrast-enhanced CTs before and 14 ± 2 (12-25) months after initiation of chemotherapy (60 ± 11 years, 36 males, 50 females). The average and maximum metastasis attenuations were measured in Hounsfield units (HU) by two readers. Treatment effects were assessed using paired t-tests and Fisher exact tests. Intraclass correlation coefficients (ICCs) were calculated. Patient records were reviewed to determine the patient's clinical status (worse, unchanged, or improved) at the time of follow-up CT. RESULTS The distribution of lesion types was as follows: lytic (30/86, 35%), blastic (43/86, 50%), and mixed lytic-blastic (13/86, 15%). There was a significant increase in average and maximum CT attenuation of metastases following chemotherapy for all patients, which remained statistically significant when stratified by lesion type, clinical status (worsening or improving/stable), cancer type (breast, lung), and radiation therapy (P < 0.05). In a subgroup of patients whose osseous metastases decreased in average attenuation (14/86, 16%), more patients had a worse clinical status (11/14, 79%) (P = 0.02). ICC was almost perfect for average attenuation and substantial for maximum attenuation. CONCLUSION Quantitative assessment of osseous metastatic disease using CT attenuation measurements demonstrated a statistically significant increase in attenuation more than 12 months after initiation of chemotherapy.
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Osteoblastic progression during EGFR tyrosine kinase inhibitor therapy in mutated non-small cell lung cancer: a potential blunder. TUMORI JOURNAL 2017; 103:66-71. [PMID: 26391764 DOI: 10.5301/tj.5000423] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/30/2015] [Indexed: 11/20/2022]
Abstract
AIMS AND BACKGROUND Bone flare reaction as a sign of response to antineoplastic treatment has been redefined, including the onset of new osteoblastic lesions. If misunderstood as skeletal progression, this finding could lead to erroneous therapy discontinuation, changing the disease clinical course. We aim to describe this clinical phenomenon in patients with advanced non-small cell lung cancer (NSCLC) with epidermal growth factor receptor (EGFR) gene-activating mutations treated with tyrosine kinase inhibitor (TKI). METHODS We retrospectively reviewed the computed tomography scans of 43 EGFR-mutated patients with NSCLC treated with EGFR-TKI, analyzing the bone response in terms of increase in the quantity and/or density of lesions, and assessing objective tumor response to treatment. RESULTS Osteoblastic reaction was detected in 10 cases (23%), showing different patterns: dimensional or density increase of known osteosclerotic metastases (pattern A, n = 4); response of previously lytic lesions (pattern B, n = 2); onset of new osteosclerotic lesions (pattern C, n = 4). Seven patients had partial response to TKI treatment, with response rate of 70%, vs 50% of patients with bone metastases without this reaction. No difference in terms of median overall survival or progression-free survival emerged between patients with or without osteoblastic reaction. CONCLUSIONS The correct clinico-radiologic interpretation of osteoblastic reaction is crucial to avoid waste of therapeutic lines when TKI treatment has not yet exhausted its potential effectiveness. Clinical implications of ambiguous radiologic findings as described in this study deserve further discussion.
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Distinguishing Untreated Osteoblastic Metastases From Enostoses Using CT Attenuation Measurements. AJR Am J Roentgenol 2016; 207:362-8. [DOI: 10.2214/ajr.15.15559] [Citation(s) in RCA: 50] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
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Michaels AY, Keraliya AR, Tirumani SH, Shinagare AB, Ramaiya NH. Systemic treatment in breast cancer: a primer for radiologists. Insights Imaging 2015; 7:131-44. [PMID: 26567115 PMCID: PMC4729711 DOI: 10.1007/s13244-015-0447-4] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2015] [Revised: 09/24/2015] [Accepted: 10/21/2015] [Indexed: 12/22/2022] Open
Abstract
Abstract Cytotoxic chemotherapy, hormonal therapy and molecular targeted therapy are the three major classes of drugs used to treat breast cancer. Imaging modalities such as computed tomography (CT), magnetic resonance imaging (MRI), 18F-FDG positron emission tomography (PET)/CT and bone scintigraphy each have a distinct role in monitoring response and detecting drug toxicities associated with these treatments. The purpose of this article is to elucidate the various systemic therapies used in breast cancer, with an emphasis on the role of imaging in assessing treatment response and detecting treatment-related toxicities. Teaching Points • Cytotoxic chemotherapy is often used in combination with HER2-targeted and endocrine therapies. • Endocrine and HER2-targeted therapies are recommended in hormone-receptor- and HER2-positive cases. • CT is the workhorse for assessment of treatment response in breast cancer metastases. • Alternate treatment response criteria can help in interpreting pseudoprogression in metastasis. • Unique toxicities are associated with cytotoxic chemotherapy and with endocrine and HER2-targeted therapies.
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Affiliation(s)
- Aya Y Michaels
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA
| | - Abhishek R Keraliya
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA.,Department of Imaging, Dana Farber Cancer Institute, Harvard Medical School, 450 Brookline Avenue, Boston, MA, 02215, USA
| | - Sree Harsha Tirumani
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA. .,Department of Imaging, Dana Farber Cancer Institute, Harvard Medical School, 450 Brookline Avenue, Boston, MA, 02215, USA.
| | - Atul B Shinagare
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA.,Department of Imaging, Dana Farber Cancer Institute, Harvard Medical School, 450 Brookline Avenue, Boston, MA, 02215, USA
| | - Nikhil H Ramaiya
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA, 02115, USA.,Department of Imaging, Dana Farber Cancer Institute, Harvard Medical School, 450 Brookline Avenue, Boston, MA, 02215, USA
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Abstract
This review illustrates different radiological methods for therapy response assessment in the field of oncological imaging. Unidimensional measurement of tumor size according to the response evaluation criteria in solid tumors (RECIST) is of utmost importance. The established RECIST definitions of changes in size are decisive for subdivision into the categories complete response (CR), partial response (PR), stable disease (SD) and progressive disease (PD), which are generally accepted as the concise characterization for therapy response. Problems with size-dependent response assessment occur particularly in targeted therapy and by phenomena, such as pseudoprogression. Several variants of functional imaging and their role in cancer imaging regarding practical requests are introduced.
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Peters CI, Peters OA. Cone beam computed tomography and other imaging techniques in the determination of periapical healing. ACTA ACUST UNITED AC 2013. [DOI: 10.1111/etp.12021] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
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16
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Gourtsoyianni S, Hwang S, Panicek DM, Zheng J, Moskowitz C, Scher H, Morris M, Hricak H. Reproducibility and clinical correlations of post-treatment changes on CT of prostate cancer bone metastases treated with chemotherapy. Br J Radiol 2012; 85:1243-9. [PMID: 22919006 DOI: 10.1259/bjr/27266976] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
OBJECTIVES The objective of this study was to determine whether, in patients with prostate cancer (PCa) bone metastases receiving chemotherapy, early post-treatment changes on CT are reproducible and associated with clinical outcomes. METHODS Blinded to outcomes, two radiologists with 1 year and 5 years of experience independently reviewed CTs obtained before and 3 months after chemotherapy initiation in 38 patients with bone metastases from castration-resistant PCa, recording the size, matrix and attenuation of ≤5 lesions; presence of new lesions, extraosseous components, periosteal reactions and cortical thickening; and overall CT assessment (improved, no change or worse). Kappa statistics were used to assess inter-reader agreement; the Kruskal-Wallis test and Cox regression model were used to evaluate associations. RESULTS Inter-reader agreement was low/fair for size change (concordance correlation coefficient=0.013), overall assessment and extraosseous involvement (κ=0.3), moderate for periosteal reaction and cortical thickening (κ=0.4-0.5), and substantial for CT attenuation (κ=0.7). Most metastases were blastic (Reader 1, 58%; Reader 2, 67%) or mixed lytic-blastic (Reader 1, 42%; Reader 2, 34%). No individual CT features correlated with survival. Readers 1 and 2 called the disease improved in 26% and 5% of patients, unchanged in 11% and 21%, and worse in 63% and 74%, respectively, with 64% interreader agreement. Overall CT assessment did not correlate with percentage change in prostate-specific antigen level. For the more experienced reader (Reader 2), patients with improved or unchanged disease had significantly longer median survival (p=0.036). CONCLUSIONS In PCa bone metastases, interreader agreement is low in overall CT post-treatment assessment and varies widely for individual CT features. Improved or stable disease identified by an experienced reader is statistically associated with longer survival.
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Affiliation(s)
- S Gourtsoyianni
- Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY 10021, USA
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Fink C, Hasan B, Deleu S, Pallis AG, Baas P, O'Brien M. High prevalence of osteoblastic bone reaction in computed tomography scans of an European Organisation for Research and Treatment of Cancer prospective randomised phase II trial in extensive stage small cell lung cancer. Eur J Cancer 2012; 48:3157-60. [PMID: 22795583 DOI: 10.1016/j.ejca.2012.05.025] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2012] [Accepted: 05/29/2012] [Indexed: 11/28/2022]
Abstract
BACKGROUND Osteoblastic bone reaction is an important phenomenon defined by an increase in apparent bone density of previously known bone metastasis or development of new osteoblastic lesions in the presence of response in other tumour sites. Osteoblastic bone reaction in lung cancer has only been described in a few reports and mostly in patients with pre-existing bone metastasis. METHODS In this report we present the data of an independent, blinded and preplanned radiological review of the occurrence of osteoblastic lesions in patients with extensive stage small cell lung cancer (SCLC). The computed tomography (CT) scans of the chest and upper abdomen of 71/88 patients who had an investigator reported complete response (CR), partial response (PR) or stable disease (SD) were retrospectively analysed for the development of osteoblastic lesions. Furthermore, baseline exams were reviewed for the presence and location of bone metastasis and local radiological reports were reviewed for any knowledge of bone metastasis. RESULTS There were 14 patients with osteoblastic bone lesions in the reviewed follow-up CT scans. Three patients had known bone metastases at baseline, and 11 patients had no history or findings of bone metastases on the baseline scan. During the course of the disease, 13 out of 14 patients developed new osteoblastic lesions, while all responded in other sites. The prevalence of osteoblastic bone reaction in our study was 19.7%. CONCLUSION In this study osteoblastic bone reaction was observed in a larger number of patients without previously documented bone metastases, indicating a high prevalence of occult bone metastases in SCLC. If bone metastases are not documented at diagnosis, then osteoblastic bone reaction may cause confusion in a responding patient.
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Affiliation(s)
- Christian Fink
- Institute of Clinical Radiology and Nuclear Medicine, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Germany.
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Osteoblastic healing response: discordant PET/CT findings. Eur J Nucl Med Mol Imaging 2011; 39:184-5. [PMID: 21997719 DOI: 10.1007/s00259-011-1953-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2011] [Accepted: 09/25/2011] [Indexed: 10/16/2022]
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Garfinkle J, Melançon D, Cortes M, Tampieri D. Imaging pattern of calvarial lesions in adults. Skeletal Radiol 2011; 40:1261-73. [PMID: 20526773 DOI: 10.1007/s00256-010-0971-8] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2010] [Revised: 05/05/2010] [Accepted: 05/11/2010] [Indexed: 02/02/2023]
Abstract
Calvarial lesions often present themselves as clinically silent findings on skull radiographs or as palpable masses that may cause localized pain or soreness. This review aims to explore the radiographic, computed tomography (CT), and magnetic resonance imaging (MRI) characteristics of calvarial neoplastic, inflammatory, and congenital lesions that are common in adults in order to facilitate a structured approach to their diagnosis and limit the differential diagnosis. In addition to reviewing the literature, we reviewed the records of 141 patients of the Montreal Neurological Institute and Hospital with radiologically documented calvarial lesions between 2001 and June 2009. CT is ideal for detecting bony lesions and is helpful in precisely localizing a lesion pre-surgically. MRI is best at identifying intradiploic lesions before they affect the cortical tables and is able to establish extraosseous involvement, especially when paramagnetic contrast is employed.
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Affiliation(s)
- Jarred Garfinkle
- Department of Diagnostic and Interventional Neuroradiology, Montreal Neurological Institute and Hospital-McGill University Health Center, 3801 Rue University, Montreal, Quebec, Canada.
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Osteoblastic reaction in non-small cell lung carcinoma and its association to epidermal growth factor receptor tyrosine kinase inhibitors response and prolonged survival. J Thorac Oncol 2010; 5:491-6. [PMID: 20195171 DOI: 10.1097/jto.0b013e3181cf0440] [Citation(s) in RCA: 27] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
INTRODUCTION The aim of this study was to describe the characteristics and epidermal growth factor receptor (EGFR) mutational status of patients with non-small cell lung cancer (NSCLC) with osteoblastic reactions diagnosed before or during treatment with EGFR tyrosine kinase inhibitors (TKIs). METHODS Retrospective study including patients with 36 NSCLC with at least one site of osteoblastic reaction at the time of diagnosis or during treatment with EGFR-TKI. RESULTS The rate of patients with mutated EGFR tumors with osteoblastic reactions before or after EGFR-TKI treatment was similar. Median progression-free survival (PFS) for the entire group was more than 9 months and median survival was more than 12 months. There was no statistically significant difference in survival between patients with osteoblastic reactions before initiation of TKI and those diagnosed during TKI treatment. Patients with extraosseous metastases when treated with TKI had the lowest survival (P < 0.0001). CONCLUSIONS In patients with NSCLC treated with TKI, initial or development of an osteoblastic reaction seems to be related to a more favorable outcome. In patients with osteoblastic reactions, tumors present with clinical and biologic characteristics of better survival and response to TKI. The occurrence of osteoblastic reactions during treatment with TKI, while primary tumor and metastases are stable or in response, should not be considered as disease progression.
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Osteoblastic bone lesions developing during treatment with erlotinib indicate major response in patients with non-small cell lung cancer: a brief report. J Thorac Oncol 2010; 5:554-7. [PMID: 20357621 DOI: 10.1097/jto.0b013e3181d3e47e] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
BACKGROUND The osteoblastic bone flare or response is the paradoxical phenomenon of increase in the quantity and/or density of bone lesions in the presence of well-documented disease response to treatment in other tumor sites. It results from the rapid repair and increased osteoblastic activity in bone metastases responding to therapy and therefore represents treatment efficacy. Nevertheless, no reliable markers can differentiate an osteoblastic flare or response from disease progression. In non-small cell lung cancer (NSCLC) osteoblastic bone flare or response has been reported in only a few patients. METHODS Pre- and posttreatment CT scans of NSCLC patients with osteolytic bone lesions and treated with erlotinib as a single treatment modality were reviewed. RESULTS In 3 cases fulfilling these criteria and responding to erlotinib according to RECIST criteria, an osteoblastic bone response was found. With the increasing use of epidermal growth factor receptor tyrosine kinase inhibitors in patients with NSCLC harboring mutations predicting a good response, the osteoblastic response will likely be increasingly seen. Awareness of this phenomenon with epidermal growth factor receptor tyrosine kinase inhibitors is important for physicians treating patients with NSCLC, so that it is not misinterpreted as progressive disease resulting in premature cessation of effective therapy.
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Osteoblastic response in patients with non-small cell lung cancer with activating EGFR Mutations and bone metastases during treatment with EGFR kinase inhibitors. J Thorac Oncol 2010; 5:407-9. [PMID: 20186030 DOI: 10.1097/jto.0b013e3181cf32aa] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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