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Volpe F, Nappi C, Zampella E, Di Donna E, Maurea S, Cuocolo A, Klain M. Current Advances in Radioactive Iodine-Refractory Differentiated Thyroid Cancer. Curr Oncol 2024; 31:3870-3884. [PMID: 39057158 PMCID: PMC11276085 DOI: 10.3390/curroncol31070286] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2024] [Revised: 06/28/2024] [Accepted: 07/01/2024] [Indexed: 07/28/2024] Open
Abstract
BACKGROUND Differentiated thyroid cancer (DTC) patients have an outstanding overall long-term survival rate, and certain subsets of DTC patients have a very high likelihood of disease recurrence. Radioactive iodine (RAI) therapy is a cornerstone in DTC management, but cancer cells can eventually develop resistance to RAI. Radioactive iodine-refractory DTC (RAIR-DTC) is a condition defined by ATA 2015 guidelines when DTC cannot concentrate RAI ab initio or loses RAI uptake ability after the initial therapy. The RAIR condition implies that RAI cannot reveal new met-astatic foci, so RAIR-DTC metabolic imaging needs new tracers. 18F-FDG PET/CT has been widely used and has demonstrated prognostic value, but 18F-FDG DTC avidity may remain low. Fibroblast activation protein inhibitors (FA-Pi)s, prostatic-specific membrane antigen (PSMA), and somatostatin receptor (SSTR) tracers have been proposed as theragnostic agents in experimental settings and Arg-Gly-Asp (RGD) peptides in the diagnostic trial field. Multi-targeted tyrosine kinase inhibitors are relatively new drugs approved in RAIR-DTC therapy. Despite the promising targeted setting, they relate to frequent adverse-event onset. Sorafenib and trametinib have been included in re-differentiation protocols aimed at re-inducing RAI accumulation in DTC cells. Results appear promising, but not excellent. CONCLUSIONS RAIR-DTC remains a challenging nosological entity. There are still controversies on RAIR-DTC definition and post-RAI therapy evaluation, with post-therapy whole-body scan (PT-WBS) the only validated criterion of response. The recent introduction of multiple diagnostic and therapeutic agents obliges physicians to pursue a multidisciplinary approach aiming to correct drug introduction and timing choice.
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Affiliation(s)
| | - Carmela Nappi
- Department of Advanced Biomedical Sciences, University of Naples “Federico II”, 80138 Naples, Italy; (F.V.); (E.Z.); (E.D.D.); (S.M.); (A.C.); (M.K.)
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Lee H, Hwang KH. Unexpected focal fluorodeoxyglucose uptake in main organs; pass through or pass by? World J Clin Cases 2024; 12:1885-1899. [PMID: 38660550 PMCID: PMC11036514 DOI: 10.12998/wjcc.v12.i11.1885] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/30/2023] [Revised: 01/31/2024] [Accepted: 03/21/2024] [Indexed: 04/11/2024] Open
Abstract
Since the inception of fluorine-18 fluorodeoxyglucose (F-18 FDG), positron emission tomography/computed tomography (PET/CT) utilizing F-18 FDG has become widely accepted as a valuable imaging modality in the field of oncology, with global prevalence in clinical practice. Given that a single Torso PET/CT scan encompasses the anatomical region from the skull base to the upper thigh, the detection of incidental abnormal focal hypermetabolism in areas of limited clinical interest is both feasible and not uncommon. Numerous investigations have been undertaken to delineate the distinctive features of these findings, yet the outcomes have proven inconclusive. The incongruent results of these studies present a challenge for physicians, leaving them uncertain about the appropriate course of action. This article provides a succinct overview of the characteristics of fluorodeoxyglucose, followed by a comprehensive discussion of the imaging findings and clinical significance associated with incidental focal abnormal F-18 FDG activity in several representative organs. In conclusion, while the prevalence of unrecognized malignancy varies across organs, malignancies account for a substantial proportion, ranging from approximately one-third to over half, of incidental focal uptake. In light of these rates, physicians are urged to exercise vigilance in not disregarding unexpected uptake, facilitating more assured clinical decisions, and advocating for further active evaluation.
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Affiliation(s)
- Haejun Lee
- Department of Nuclear Medicine, Gachon University College of Medicine, Gil Medical Center, Incheon 21565, South Korea
| | - Kyung-Hoon Hwang
- Department of Nuclear Medicine, Gachon University College of Medicine, Gil Medical Center, Incheon 21565, South Korea
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Clinical Study of Virtual Reality Augmented Technology Combined with Contrast-Enhanced Ultrasound in the Assessment of Thyroid Cancer. JOURNAL OF HEALTHCARE ENGINEERING 2021; 2021:8042755. [PMID: 34394897 PMCID: PMC8363438 DOI: 10.1155/2021/8042755] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/10/2021] [Revised: 06/23/2021] [Accepted: 06/28/2021] [Indexed: 12/05/2022]
Abstract
Thyroid cancer has become the most common malignant tumor in the endocrine system, and its global incidence has been showing an upward trend. The diagnosis methods of thyroid cancer include ultrasound, fine-needle aspiration cytology, and neck CT, but the single ultrasound feature cannot simultaneously take into account the sensitivity and specificity of more than 85% when diagnosing thyroid cancer. The development of virtual technology can significantly improve the diagnosis of the thyroid gland. Based on this, this article proposes a clinical study of virtual reality technology combined with contrast-enhanced ultrasound in the assessment of thyroid cancer. This article uses a variety of methods, such as literature method, mathematical statistics, and experimental research, in-depth study of the theoretical cornerstones of virtual reality augmented technology, the application status of ultrasound contrast technology, and so on. And a fuzzy mean clustering algorithm was proposed to identify ultrasound images. Then, a clinical experiment of virtual reality augmented technology combined with contrast-enhanced ultrasound was designed to evaluate thyroid cancer, which included comparison of contrast-enhanced ultrasound signs, analysis of enhancement results, multifactor logistic analysis, and diagnostic efficacy analysis of ultrasound signs. The combined application of virtual reality augmented technology and contrast-enhanced ultrasound in the study of thyroid cancer has a sensitivity and specificity exceeding 85% as the diagnosis boundary changes, and the accuracy of the combined diagnosis is relatively high.
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Ha LN, Iravani A, Nhung NT, Hanh NTM, Hutomo F, Son MH. Relationship between clinicopathologic factors and FDG avidity in radioiodine-negative recurrent or metastatic differentiated thyroid carcinoma. Cancer Imaging 2021; 21:8. [PMID: 33413689 PMCID: PMC7792294 DOI: 10.1186/s40644-020-00378-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2020] [Accepted: 12/29/2020] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND In this study, we investigated the relationship between clinicopathologic factors, BRAFV600E mutation status and [18F] F-fluoro-2-deoxyglucose (FDG) avidity in patients with radioiodine (RAI)-negative recurrent or metastatic differentiated thyroid cancer (DTC). METHODS From 2015 to 2018 all patients with suspected recurrent or metastatic radioiodine-negative DTC patients who underwent FDG positron emission tomography/computed tomography (PET/CT) were retrospectively reviewed. Suspected lesions on FDG PET/CT were biopsied and underwent BRAFV600E mutation testing by immunohistochemistry and real-time PCR. Tumor size, recurrent versus metastatic disease, histopathologic features including classical type versus aggressive subtypes (poorly differentiated, tall cell, columnar cell, hobnail variants) and BRAFV600E mutation status were correlated with the SUVmax of highest hypermetabolic lesions on FDG PET/CT by the univariate analysis using logistic regression. RESULTS Sixty-three consecutive patients, 55 (87.3%) female, with median age of 48 (range 17-81) were included. The majority of patients had BRAFV600E mutation and classical subtype, 55/63 (87.3%) and 45/63(71.4%), respectively. Thyroglobulin at the time of suspected recurrence was 262.7 ng/ml (range 16.3-1000) and patients received a median 3 prior RAI treatments. Fifty-four patients (85.7%) had local recurrence. The majority of patients 58/63 (92.1%) had FDG-avid disease on PET/CT. On univariate analysis, tumor size aggressive histopathologic types and distant metastasis are the significant factors for predicting FDG uptake, p = 0.04, p = 0.001 and p = 0.004 respectively. Although FDG uptake of BRAFV600E bearing recurrent/metastatic RAIR DTC lesions was higher than those without the mutation, the difference did not reach statistical significance, SUVmax of 7.11 versus 4.91, respectively, p = 0.2. CONCLUSION The majority of recurrent or metastatic RAI-negative DTC have BRAFV600E mutation and detectable disease on FDG PET/CT. FDG avidity of the recurrent or metastatic RAI-negative DTC is independently associated with the aggressive histopathologic features.
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Affiliation(s)
- Le Ngoc Ha
- Department of Nuclear Medicine, 108 Central Military Hospital, 1st Tran Hung Dao, Hai Ba Trung, Ha Noi, Vietnam
| | - Amir Iravani
- Washington University School of Medicine, Mallinckrodt Institute of Radiology, St Louis, MO, USA
| | - Nguyen Thi Nhung
- Department of Nuclear Medicine, 108 Central Military Hospital, 1st Tran Hung Dao, Hai Ba Trung, Ha Noi, Vietnam
| | - Ngo Thi Minh Hanh
- Department of Pathology, 108 Central Military Hospital, Hanoi, Vietnam
| | - Febby Hutomo
- Nuclear Medicine Department, MRCCC Siloam Hospital, Jakarta, Indonesia
| | - Mai Hong Son
- Department of Nuclear Medicine, 108 Central Military Hospital, 1st Tran Hung Dao, Hai Ba Trung, Ha Noi, Vietnam.
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Fu H, Sa R, Cheng L, Jin Y, Qiu X, Liu M, Chen L. Updated Review of Nuclear Molecular Imaging of Thyroid Cancers. Endocr Pract 2020; 27:494-502. [PMID: 33934754 DOI: 10.1016/j.eprac.2020.10.001] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/27/2019] [Revised: 10/17/2020] [Accepted: 10/19/2020] [Indexed: 12/27/2022]
Abstract
OBJECTIVES We initiate this comprehensive review to update the advances in this field by objectively elucidating the efficacies of promising radiopharmaceuticals. METHODS We performed a comprehensive PUBMED search using the combined terms of "thyroid cancer" and "radiopharmaceuticals" or "nuclear medicine", yielding 3273 and 11026 articles prior to December 31, 2020, respectively. RESULTS Based on the mechanism of molecular metabolism, the evaluation of differentiated thyroid cancer and dedifferentiated thyroid cancer is largely centered around radioiodine and fluorine 18 (18F)-fludeoxyglucose, respectively. Further, 18F-L-dihydroxyphenylalanine and gallium 68 DOTATATE are the preferred tracers for medullary thyroid cancer. In dedifferentiated medullary thyroid cancer and anaplastic thyroid cancer, 18F-fludeoxyglucose is superior. CONCLUSIONS The future lies in advances in molecular biology, novel radiopharmaceuticals and imaging devices, paving ways to the development of personalized medication for thyroid cancer patients.
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Affiliation(s)
- Hao Fu
- Department of Nuclear Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, People's Republic of China; Department of Nuclear Medicine & Minnan PET Center, Xiamen Cancer Hospital, The First Affiliated Hospital of Xiamen University, Teaching Hospital of Fujian Medical University, Xiamen, People's Republic of China
| | - Ri Sa
- Department of Nuclear Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, People's Republic of China; Department of Nuclear Medicine, The First Hospital of Jilin University, Changchun, People's Republic of China
| | - Lin Cheng
- Department of Nuclear Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, People's Republic of China
| | - Yuchen Jin
- Department of Nuclear Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, People's Republic of China
| | - Xian Qiu
- Department of Nuclear Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, People's Republic of China
| | - Min Liu
- Department of Nuclear Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, People's Republic of China; Department of Nuclear Medicine, Zhongshan Hospital, Fudan University, Shanghai, People's Republic of China
| | - Libo Chen
- Department of Nuclear Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, People's Republic of China.
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Correlation between F18-FDG PET/CT Imaging and BRAF V600E Genetic Mutation for the Early Assessment of Treatment Response in Papillary Thyroid Cancers. J Pers Med 2020; 10:jpm10020052. [PMID: 32575591 PMCID: PMC7354584 DOI: 10.3390/jpm10020052] [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: 06/03/2020] [Revised: 06/11/2020] [Accepted: 06/18/2020] [Indexed: 11/25/2022] Open
Abstract
In thyroid neoplastic pathology, the BRAF V600E mutation is shown to be involved in the oncogenesis of papillary thyroid cancer and its subtypes. The purpose of this study is to evaluate the correlation between the mutation of the BRAF V600E oncogene and the pathological standardized uptake values (SUV) at the F18-fluorodeoxyglucose (F18-FDG) positron emission tomography/computed tomography (PET/CT) evaluation, for a group of 20 patients with radically treated (total thyroidectomy and radioiodine therapy) papillary thyroid cancer, with subclinical persistent disease, at 6 months after the initial treatment. We analyzed the correlations between the values of SUV and the presence of the BRAF mutation as well with other prognostic factors such as stage, age, specific tumor markers (thyroglobulin and anti-thyroglobulin), extrathyroid extension, the presence of metastatic lymph nodes or distant metastasis. The value of SUV in the case of BRAF+ (positive) patients was higher than in the negative ones, but without statistical significance, thus, the values of the SUV cannot be a predictable factor for the presence of the genetic mutation. There was a statistically significant correlation in BRAF+ subgroup between the SUV values and the positive resection limit following surgery, showing a higher SUV value in the PET/CT evaluation. No correlation was observed between the aforementioned prognostic factors involved in papillary thyroid cancer and the BRAF V600E mutation.
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Park YJ, Shin MH, Moon SH. Radiogenomics Based on PET Imaging. Nucl Med Mol Imaging 2020; 54:128-138. [PMID: 32582396 DOI: 10.1007/s13139-020-00642-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2020] [Revised: 04/02/2020] [Accepted: 04/30/2020] [Indexed: 02/07/2023] Open
Abstract
Radiogenomics or imaging genomics is a novel omics strategy of associating imaging data with genetic information, which has the potential to advance personalized medicine. Imaging features extracted from PET or PET/CT enable assessment of in vivo functional and physiological activity and provide comprehensive tumor information non-invasively. However, PET features are considered secondary to features on conventional imaging, and there has not yet been a review of the radiogenomic approach using PET features. This review article summarizes the current state of PET-based radiogenomic research for cancer, which discusses some of its limitations and directions for future study.
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Affiliation(s)
- Yong-Jin Park
- Department of Nuclear Medicine and Molecular Imaging, Samsung Medical Center, Seoul, Republic of Korea
| | - Mu Heon Shin
- Department of Nuclear Medicine and Molecular Imaging, Samsung Medical Center, Seoul, Republic of Korea
| | - Seung Hwan Moon
- Department of Nuclear Medicine and Molecular Imaging, Samsung Medical Center, Seoul, Republic of Korea
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Saadani H, van der Hiel B, Aalbersberg EA, Zavrakidis I, Haanen JBAG, Hoekstra OS, Boellaard R, Stokkel MPM. Metabolic Biomarker-Based BRAFV600 Mutation Association and Prediction in Melanoma. J Nucl Med 2019; 60:1545-1552. [PMID: 31481581 DOI: 10.2967/jnumed.119.228312] [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] [Received: 03/06/2019] [Accepted: 08/05/2019] [Indexed: 12/24/2022] Open
Abstract
The aim of this study was to associate and predict B-rapidly accelerated fibrosarcoma valine 600 (BRAFV600) mutation status with both conventional and radiomics 18F-FDG PET/CT features, while exploring several methods of feature selection in melanoma radiomics. Methods: Seventy unresectable stage III-IV melanoma patients who underwent a baseline 18F-FDG PET/CT scan were identified. Patients were assigned to the BRAFV600 group or BRAF wild-type group according to mutational status. 18F-FDG uptake quantification was performed by semiautomatic lesion delineation. Four hundred eighty radiomics features and 4 conventional PET features (SUVmax, SUVmean, SUVpeak, and total lesion glycolysis) were extracted per lesion. Six different methods of feature selection were implemented, and 10-fold cross-validated predictive models were built for each. Model performances were evaluated with areas under the curve (AUCs) for the receiver operating characteristic curves. Results: Thirty-five BRAFV600 mutated patients (100 lesions) and 35 BRAF wild-type patients (79 lesions) were analyzed. AUCs predicting the BRAFV600 mutation varied from 0.54 to 0.62 and were susceptible to feature selection method. The best AUCs were achieved by feature selection based on literature, a penalized binary logistic regression model, and random forest model. No significant difference was found between the BRAFV600 and BRAF wild-type group in conventional PET features or predictive value. Conclusion: BRAFV600 mutation status is not associated with, nor can it be predicted with, conventional PET features, whereas radiomics features were of low predictive value (AUC = 0.62). We showed feature selection methods to influence predictive model performance, describing and evaluating 6 unique methods. Detecting BRAFV600 status in melanoma based on 18F-FDG PET/CT alone does not yet provide clinically relevant knowledge.
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Affiliation(s)
- Hanna Saadani
- Department of Nuclear Medicine, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Bernies van der Hiel
- Department of Nuclear Medicine, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Else A Aalbersberg
- Department of Nuclear Medicine, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Ioannis Zavrakidis
- Department of Epidemiology and Biostatistics, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - John B A G Haanen
- Department of Medical Oncology, Netherlands Cancer Institute, Amsterdam, The Netherlands; and
| | - Otto S Hoekstra
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Cancer Center Amsterdam, Amsterdam, The Netherlands
| | - Ronald Boellaard
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Cancer Center Amsterdam, Amsterdam, The Netherlands
| | - Marcel P M Stokkel
- Department of Nuclear Medicine, Netherlands Cancer Institute, Amsterdam, The Netherlands
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Wen SS, Zhang TT, Xue DX, Wu WL, Wang YL, Wang Y, Ji QH, Zhu YX, Qu N, Shi RL. Metabolic reprogramming and its clinical application in thyroid cancer. Oncol Lett 2019; 18:1579-1584. [PMID: 31423225 PMCID: PMC6607326 DOI: 10.3892/ol.2019.10485] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2019] [Accepted: 02/22/2019] [Indexed: 12/21/2022] Open
Abstract
Warburg found that tumor cells exhibit high-level glycolysis, even under aerobic condition, which is known as the ‘Warburg effect’. As systemic changes in the entire metabolic network are gradually revealed, it is recognized that metabolic reprogramming has gone far beyond the imagination of Warburg. Metabolic reprogramming involves an active change in cancer cells to adapt to their biological characteristics. Thyroid cancer is a common endocrine malignant tumor whose metabolic characteristics have been studied in recent years. Some drugs targeting tumor metabolism are under clinical trial. This article reviews the metabolic changes and mechanisms in thyroid cancer, aiming to find metabolic-related molecules that could be potential markers to predict prognosis and metabolic pathways, or could serve as therapeutic targets. Our review indicates that knowledge in metabolic alteration has potential contributions in the diagnosis, treatment and prognostic evaluation of thyroid cancer, but further studies are needed for verification as well.
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Affiliation(s)
- Shi-Shuai Wen
- Department of Head and Neck Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, P.R. China
| | - Ting-Ting Zhang
- Department of Head and Neck Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, P.R. China
| | - Di-Xin Xue
- Department of General Surgery, Τhe Third Affiliated Hospital of Wenzhou Medical University, Ruian, Zhejiang 325200, P.R. China
| | - Wei-Li Wu
- Department of General Surgery, Τhe Third Affiliated Hospital of Wenzhou Medical University, Ruian, Zhejiang 325200, P.R. China
| | - Yu-Long Wang
- Department of Head and Neck Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, P.R. China
| | - Yu Wang
- Department of Head and Neck Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, P.R. China
| | - Qing-Hai Ji
- Department of Head and Neck Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, P.R. China
| | - Yong-Xue Zhu
- Department of Head and Neck Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, P.R. China
| | - Ning Qu
- Department of Head and Neck Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, P.R. China
| | - Rong-Liang Shi
- Department of Head and Neck Surgery, Fudan University Shanghai Cancer Center, Shanghai 200032, P.R. China
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Lee JW, Lee SM. Radiomics in Oncological PET/CT: Clinical Applications. Nucl Med Mol Imaging 2018; 52:170-189. [PMID: 29942396 PMCID: PMC5995782 DOI: 10.1007/s13139-017-0500-y] [Citation(s) in RCA: 69] [Impact Index Per Article: 9.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2017] [Revised: 09/22/2017] [Accepted: 09/29/2017] [Indexed: 12/11/2022] Open
Abstract
18F-fluorodeoxyglucose (FDG) positron emission tomography/computed tomography (PET/CT) is widely used for staging, evaluating treatment response, and predicting prognosis in malignant diseases. FDG uptake and volumetric PET parameters such as metabolic tumor volume have been used and are still used as conventional PET parameters to assess biological characteristics of tumors. However, in recent years, additional features derived from PET images by computational processing have been found to reflect intratumoral heterogeneity, which is related to biological tumor features, and to provide additional predictive and prognostic information, which leads to the concept of radiomics. In this review, we focus on recent clinical studies of malignant diseases that investigated intratumoral heterogeneity on PET/CT, and we discuss its clinical role in various cancers.
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Affiliation(s)
- Jeong Won Lee
- Department of Nuclear Medicine, International St. Mary’s Hospital, Catholic Kwandong University College of Medicine, 25, Simgok-ro 100 Gil 25, Seo-gu, Incheon, 22711 South Korea
- Institute for Integrative Medicine, International St. Mary’s Hospital, Catholic Kwandong University College of Medicine, Incheon, South Korea
| | - Sang Mi Lee
- Department of Nuclear Medicine, Soonchunhyang University Cheonan Hospital, Cheonan, South Korea
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