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Malvi D, Vasuri F, Albertini E, Carbone M, Novelli L, Mescoli C, Cardillo M, Pagni F, D'Errico A, Eccher A. Donors risk assessment in transplantation: From the guidelines to their real-world application. Pathol Res Pract 2024; 255:155210. [PMID: 38422913 DOI: 10.1016/j.prp.2024.155210] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Revised: 02/08/2024] [Accepted: 02/11/2024] [Indexed: 03/02/2024]
Abstract
Transplantation of an organ from a donor carries an unavoidable risk of tumor transmission. The need to extend the donor pool increases the use of organs from donors with malignancies and potential disease transmission is a constant tension influencing donor suitability decisions. Current classification systems for the assessment of donor malignancy transmission risk have evolved from reports of potential transmission events in recipients to national donation and transplant surveillance agencies. Although the risk of malignancy transmission is very low in the general transplant setting it must constantly be balanced with the transplant benefits. Guidelines are mainly based on large registries and sparse case reports of transmission, so they cannot cover all the possible situations. For this reason, in 2004 in Italy, the National Transplant Center gave rise to the Second Opinion Service, charged by the Ministry of Health, by structuring expertise in diagnostic oncology and risk transmission and making it available to the Italian Transplant Centers. In this paper the registry of the Italian Oncological Second Opinion was reviewed, from 2016 to 2018, to detail the most frequent and problematic neoplastic topics addressed, those are separately reported and discussed. Furthermore, a review of the most recent strategies and risk stratification is provided, according to the most recent literature evidence and to the European Guidelines.
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Affiliation(s)
- Deborah Malvi
- Pathology Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Italy
| | - Francesco Vasuri
- Pathology Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Italy
| | - Elisa Albertini
- Pathology Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Italy; School of Anatomic Pathology, Department of Biomedical and Neuromotor Sciences, University of Bologna, Italy
| | - Maurizio Carbone
- University Milan Bicocca, Department of Medicine and Surgery, Departmental Center of Digital Medicine, Milan, Italy
| | - Luca Novelli
- Institute of Histopathology and Molecular Diagnosis, Careggi University Hospital, Florence, Italy
| | - Claudia Mescoli
- Surgical Pathology and Cytopathology Unit, Department of Medicine, University and Hospital Trust of Padua, Italy
| | - Massimo Cardillo
- Italian National Transplantation Center, Italian National Institute of Health, Rome, Italy
| | - Fabio Pagni
- University Milan Bicocca, Department of Medicine and Surgery, Departmental Center of Digital Medicine, Milan, Italy
| | - Antonia D'Errico
- Pathology Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Italy.
| | - Albino Eccher
- Section of Pathology, Department of Medical and Surgical Sciences for Children and Adults, University of Modena and Reggio Emilia, University Hospital of Modena, Modena, Italy
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Fei M, Zhang F, Qin L, Zheng X, Zhang B, Ouyang X. Diagnostic Significance of Ultrasound-Guided Fine-Needle Aspiration Biopsy and on-Site Assessment by Pathologists for Thyroid Micronodules. Int J Gen Med 2024; 17:315-321. [PMID: 38314197 PMCID: PMC10838513 DOI: 10.2147/ijgm.s441480] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Accepted: 01/06/2024] [Indexed: 02/06/2024] Open
Abstract
Objective Ultrasound-guided fine-needle aspiration biopsy (US-FNAB) is a safe and effective method for screening malignant thyroid nodules. The purpose of this study was to compare the diagnostic effectiveness of US-FNAB for nodules of different sizes. Methods A total of 1085 patients with thyroid nodules who underwent US-FNAB between January 2021 and July 2023 were included in the study. The patients were divided into three groups based on the maximum diameter of the nodules: there were 324 patients with thyroid nodules ≤5 mm in Group A, 537 patients with thyroid nodules between 6 mm and 10 mm in Group B, and 224 patients with thyroid nodules >10 mm in Group C. The US-FNAB satisfactory specimen rate, biopsy time and cytopathological results for the three groups were collected and compared with the postoperative pathological results. Results The US-FNAB satisfactory specimen rates for Groups A, B and C were 84.57% (274/324), 90.13% (484/537) and 94.64% (212/224), respectively. The average biopsy times for Groups A, B, and C were 100.84 ± 41.58 s, 91.20 ± 32.53 s, and 79.01 ± 29.62 s, respectively. In Groups A, B, and C, 103, 192 and 73 patients, respectively, underwent surgery, and the malignancy rates were 88.35%, 85.42% and 72.6%, respectively. The sensitivity, specificity, positive predictive value, and negative predictive value of US-FNAB in Group A were 78.26%, 81.82%, 97.30%, 31.03%; respectively; those in Group B were 73.78%,85.71%,96.80%, and 35.82%, respectively; and those in Group C were 75.47%, 85.00%, 93.02% and 56.67%, respectively. Conclusion The US-FNAB satisfactory specimen rate for thyroid nodules ≤5 mm was relatively low, but the size of nodules had no effect on the diagnostic sensitivity of US-FNAB; additionally, nodules ≤5 mm had a higher probability of malignancy. Therefore, it is necessary to perform US-FNAB for thyroid nodules with a diameter ≤5 mm with malignant signs.
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Affiliation(s)
- Mingjian Fei
- Department of Pathology, the Second Affiliated Hospital of Jiaxing University, Jiaxing, Zhejiang, People's Republic of China
| | - Fenglan Zhang
- Clinical Genomics Center, DIAN Diagnostics, Hangzhou, Zhejiang, People's Republic of China
| | - Lan Qin
- Clinical Genomics Center, DIAN Diagnostics, Hangzhou, Zhejiang, People's Republic of China
| | - Xueyong Zheng
- Department of Thyroid Surgery, The Second Affiliated Hospital of Jiaxing University, Jiaxing, Zhejiang, People's Republic of China
| | - Bo Zhang
- Department of Thyroid Surgery, The Second Affiliated Hospital of Jiaxing University, Jiaxing, Zhejiang, People's Republic of China
| | - Xuanyi Ouyang
- Department of Ultrasonic Diagnosis, the Second Affiliated Hospital of Jiaxing University, Jiaxing, Zhejiang, People's Republic of China
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Huang H, Zhu MJ, Gao Q, Huang YL, Li WM. Comparison of Diagnostic Values of ACR TI-RADS versus C-TIRADS Scoring and Classification Systems for the Elderly Thyroid Cancers. Int J Gen Med 2023; 16:4441-4451. [PMID: 37795310 PMCID: PMC10546997 DOI: 10.2147/ijgm.s429681] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2023] [Accepted: 09/15/2023] [Indexed: 10/06/2023] Open
Abstract
Purpose To compare the diagnostic value of the Thyroid Imaging Reporting and Data System (TI-RADS) of the American College of Radiology (ACR) versus the Chinese Thyroid Imaging Reporting and Data System (C-TIRADS) scoring and classification system for elderly thyroid cancers. Patients and Methods A total of 512 nodules from 465 patients aged ≥60 with surgical pathology-proven thyroid nodules were enrolled in our study. The ultrasound features of thyroid nodules were independently evaluated by the ACR TI-RADS and C-TIRADS classification systems, and the receiver operating characteristic curve (ROC) was plotted. The optimal cut-off values of the ACR TI-RADS and C-TIRADS scoring and classification systems for diagnosing elderly thyroid nodules were estimated, and the diagnostic efficacy was analyzed. Results The ACR TI-RADS and C-TIRADS scores and classifications of thyroid cancers were both higher than benign nodules (both P < 0.05). The area under the curve (AUC) of ACR TI-RADS and C-TIRADS scoring and classification systems were 0.861, 0.897, 0.879, and 0.900, respectively, and the AUC of the scoring system was greater than the classification system for both criteria. When the Youden index was the highest, the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of the ACR TI-RADS scoring and classification systems were consistent, ie, they were 89.66%, 41.70%, 89.93%, and 59.00%, respectively; the sensitivity, specificity, PPV, and NPV of the C-TIRADS scoring and classification systems were also consistent, ie, they were 88.71%, 44.26%, 90.23%, 59.69%, respectively. The diagnostic efficacy between the two systems was not statistically significant. Conclusion ACR TI-RADS and C-TIRADS systems had relatively high diagnostic efficacy for elderly thyroid cancer. The diagnostic efficiency of the scoring systems of ACR TI-RADS and C-TIRADS were higher than the classification systems. In addition, the two systems had high clinical practical values, while there is still a significant risk of missed diagnosis.
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Affiliation(s)
- Hu Huang
- Department of Thyroid and Breast Surgery, Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu, People’s Republic of China
| | - Ming-Jie Zhu
- Department of Thyroid and Breast Surgery, Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu, People’s Republic of China
| | - Qi Gao
- Department of Ultrasonography, Southeast University Affiliated Zhongda Hospital, Nanjing, Jiangsu, People’s Republic of China
| | - Yan-Li Huang
- Department of Special Clinic, General Hospital of Eastern Theater Command, PLA, Nanjing, Jiangsu, People’s Republic of China
| | - Wei-Min Li
- Department of Ultrasonography, Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu, People’s Republic of China
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Liang Y, Li X, Wang F, Yan Z, Sang Y, Yuan Y, Qin Y, Zhang X, Ju M. Detection of Thyroid Nodule Prevalence and Associated Risk Factors in Southwest China: A Study of 45,023 Individuals Undergoing Physical Examinations. Diabetes Metab Syndr Obes 2023; 16:1697-1707. [PMID: 37312898 PMCID: PMC10259576 DOI: 10.2147/dmso.s412567] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Accepted: 06/03/2023] [Indexed: 06/15/2023] Open
Abstract
Background Thyroid nodules (TNs) are among the most common thyroid lesions, and rates of these nodules have risen over the past three decades. As the majority of TN patients remain asymptomatic when these nodules are in the early stages of development, malignant nodules may continue to develop into thyroid cancer when not detected. As such, early screening and diagnosis-based strategies represent the most promising means of preventing or treating TNs and associated cancers. The present study was thus developed to explore TN prevalence among individuals in Luzhou, China. Methods Here, thyroid ultrasonography and metabolic-related indicators from 45,023 adults undergoing routine physical examinations in the Health Management Center of a large Grade A hospital in Luzhou over the last three years were retrospectively reviewed in an effort to identify factors associated with TN risk and the detection of these nodules through univariate and multivariate logistic regression analyses. Results In total, 13,437 TNs were detected in these 45,023 healthy adults for an overall 29.8% detection rate. This TN detection rate rose with age, and multivariate logistic regression analyses revealed that independent risk factors associated with TNs included greater age (≥31 years old), female (OR = 2.283, 95% CI: 2.177-2.393), central obesity (OR = 1.115, 95% CI: 1.051-1.183), impaired fasting glucose (OR = 1.203, 95% CI: 1.063-1.360), overweight status (OR = 1.085, 95% CI: 1.026-1.147), and obesity (OR = 1.156, 95% CI: 1.054-1.268), while low BMI was a protective factor associated with lower rates of TN incidence (OR = 0.789, 95% CI: 0.706-0.882). When results were stratified by gender, impaired fasting glucose was not an independent predictor of TN risk among males, while high LDL levels were an independent predictor of TNs among females, and other risk factors were not significantly changed. Conclusion TN detection rates were high among adults in Southwestern China. Female, elderly individuals, individuals exhibiting central obesity, and those with high levels of fasting plasma glucose are more likely to develop TN.
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Affiliation(s)
- Yi Liang
- Health Management Center, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, 646000, People’s Republic of China
- Nursing College, Southwest Medical University, Luzhou, Sichuan, 646000, People’s Republic of China
| | - Xiaohong Li
- Health Management Center, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, 646000, People’s Republic of China
| | - Fang Wang
- Nursing College, Southwest Medical University, Luzhou, Sichuan, 646000, People’s Republic of China
| | - Zongting Yan
- Nursing College, Southwest Medical University, Luzhou, Sichuan, 646000, People’s Republic of China
| | - Yuhuan Sang
- Nursing College, Southwest Medical University, Luzhou, Sichuan, 646000, People’s Republic of China
| | - Yuan Yuan
- Nursing College, Southwest Medical University, Luzhou, Sichuan, 646000, People’s Republic of China
| | - Yun Qin
- Health Management Center, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, 646000, People’s Republic of China
| | - Xuefei Zhang
- Health Management Center, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, 646000, People’s Republic of China
| | - Mei Ju
- Nursing College, Southwest Medical University, Luzhou, Sichuan, 646000, People’s Republic of China
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Tran NQ, Le BH, Hoang CK, Nguyen HT, Thai TT. Prevalence of Thyroid Nodules and Associated Clinical Characteristics: Findings from a Large Sample of People Undergoing Health Checkups at a University Hospital in Vietnam. Risk Manag Healthc Policy 2023; 16:899-907. [PMID: 37220482 PMCID: PMC10200104 DOI: 10.2147/rmhp.s410964] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Accepted: 05/11/2023] [Indexed: 05/25/2023] Open
Abstract
Background Thyroid nodule is a common disorder normally detected by ultrasound. However, little is known about the population prevalence of thyroid nodules in a Vietnamese population. This study aimed to estimate the prevalence of thyroid nodules, its characteristics, and associated factors in a large number of people undergoing annual health checkups. Methods A retrospective, cross-sectional descriptive study was conducted, based on electronic medical records of people undergoing health checkups at the Health Checkup Department, University Medical Center at Ho Chi Minh City. All of the participants underwent thyroid ultrasonography, anthropometric measurements, and serum examinations. Results A total of 16,784 participants (mean age: 40.4 ± 12.7 years, 45.1% female) were included in this study. The overall prevalence of thyroid nodules was 48.4%. The mean diameter of nodules was 7.2 ± 5.8 mm. The prevalence of nodules with malignant characteristics was 36.9%. Women had a significantly higher prevalence of thyroid nodules than men (55.2% vs 42.9%, p<0.001). Advanced age, hypertension, and hyperglycemia were significantly associated with thyroid nodules in both genders. In men, significant factors also included increased body mass index. In women, these included increased total cholesterol and LDLc, hypertriglyceridemia, and hyperuricemia. Conclusion This study showed a high prevalence of TNs in Vietnamese people undergoing general health checkups. Importantly, the proportion of TNs with malignant risk was quite high. Therefore, screening for TNs should be added to annual health checkups to improve early detection of TNs, targeting those who have a high-risk profile based on factors identified in this study.
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Affiliation(s)
- Nam Quang Tran
- Department of Endocrinology, University Medical Center at Ho Chi Minh City, Ho Chi Minh City, Vietnam
- Department of Endocrinology, University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh City, Vietnam
| | - Bao Hoang Le
- Department of Endocrinology, University Medical Center at Ho Chi Minh City, Ho Chi Minh City, Vietnam
| | - Chi Khanh Hoang
- Department of Endocrinology, University Medical Center at Ho Chi Minh City, Ho Chi Minh City, Vietnam
| | - Huu-Thinh Nguyen
- Department of Health Checkup, University Medical Center at Ho Chi Minh City, Ho Chi Minh City, Vietnam
| | - Truc Thanh Thai
- Faculty of Public Health, University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh City, Vietnam
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6
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Girolami I, Marletta S, Pantanowitz L, Torresani E, Ghimenton C, Barbareschi M, Scarpa A, Brunelli M, Barresi V, Trimboli P, Eccher A. Impact of image analysis and artificial intelligence in thyroid pathology, with particular reference to cytological aspects. Cytopathology 2020; 31:432-444. [PMID: 32248583 DOI: 10.1111/cyt.12828] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2020] [Revised: 03/27/2020] [Accepted: 03/27/2020] [Indexed: 02/06/2023]
Abstract
OBJECTIVE Thyroid pathology has great potential for automated/artificial intelligence algorithm application as the incidence of thyroid nodules is increasing and the indeterminate interpretation rate of fine-needle aspiration remains relatively high. The aim of the study is to review the published literature on automated image analysis and artificial intelligence applications to thyroid pathology with whole-slide imaging. METHODS Systematic search was carried out in electronic databases. Studies dealing with thyroid pathology and use of automated algorithms applied to whole-slide imaging were included. Quality of studies was assessed with a modified QUADAS-2 tool. RESULTS Of 919 retrieved articles, 19 were included. The main themes addressed were the comparison of automated assessment of immunohistochemical staining with manual pathologist's assessment, quantification of differences in cellular and nuclear parameters among tumour entities, and discrimination between benign and malignant nodules. Correlation coefficients with manual assessment were higher than 0.76 and diagnostic performance of automated models was comparable with an expert pathologist diagnosis. Computational difficulties were related to the large size of whole-slide images. CONCLUSIONS Overall, the results are promising and it is likely that, with the resolution of technical issues, the application of automated algorithms in thyroid pathology will increase and be adopted following suitable validation studies.
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Affiliation(s)
- Ilaria Girolami
- Department of Pathology and Diagnostics, University and Hospital Trust of Verona, Verona, Italy
| | - Stefano Marletta
- Department of Pathology and Diagnostics, University and Hospital Trust of Verona, Verona, Italy
| | - Liron Pantanowitz
- Department of Pathology, UPMC Shadyside Hospital, University of Pittsburgh, Pittsburgh, PA, USA
| | - Evelin Torresani
- Department of Pathology and Diagnostics, University and Hospital Trust of Verona, Verona, Italy
| | - Claudio Ghimenton
- Department of Pathology and Diagnostics, University and Hospital Trust of Verona, Verona, Italy
| | | | - Aldo Scarpa
- Department of Pathology and Diagnostics, University and Hospital Trust of Verona, Verona, Italy
| | - Matteo Brunelli
- Department of Pathology and Diagnostics, University and Hospital Trust of Verona, Verona, Italy
| | - Valeria Barresi
- Department of Pathology and Diagnostics, University and Hospital Trust of Verona, Verona, Italy
| | - Pierpaolo Trimboli
- Clinic for Nuclear Medicine and Competence Centre for Thyroid Disease, Imaging Institute of Southern Switzerland, Ente Ospedaliero Cantonale, Bellinzona, Switzerland
| | - Albino Eccher
- Department of Pathology and Diagnostics, University and Hospital Trust of Verona, Verona, Italy
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Ammendola S, Girolami I, Bovo C, Paini M, Castelli C, Bruno C, Schenal G, Brazzarola P, Mezzetto L, Veraldi GF, Novelli L, Brunelli M, Montemezzi S, Eccher A. Thyroid Fine-Needle Aspiration Cytology: Focusing on Adherence to Guidelines and Hospital Organization. AMERICAN JOURNAL OF CASE REPORTS 2020; 21:e920933. [PMID: 32273492 PMCID: PMC7171366 DOI: 10.12659/ajcr.920933] [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] [Indexed: 11/13/2022]
Abstract
Patient: Female, 39-year-old Final Diagnosis: Goiter with periprocedural complication Symptoms: None Medication:— Clinical Procedure: Fine-needle aspiration cytology Specialty: Radiology
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Affiliation(s)
- Serena Ammendola
- Pathology Unit, Department of Pathology and Diagnostics, University and Hospital Trust of Verona, Verona, Italy
| | - Ilaria Girolami
- Pathology Unit, Department of Pathology and Diagnostics, University and Hospital Trust of Verona, Verona, Italy
| | - Chiara Bovo
- Medical Direction, University and Hospital Trust of Verona, Verona, Italy
| | - Marina Paini
- Endocrine Surgery Unit, Department of Surgery and Oncology, University and Hospital Trust of Verona, Verona, Italy
| | - Claudia Castelli
- Pathology Unit, Department of Pathology and Diagnostics, University and Hospital Trust of Verona, Verona, Italy
| | - Costanza Bruno
- Radiology Unit, Department of Pathology and Diagnostics, University and Hospital Trust of Verona, Verona, Italy
| | - Giacomo Schenal
- Radiology Unit, Department of Pathology and Diagnostics, University and Hospital Trust of Verona, Verona, Italy
| | - Paolo Brazzarola
- Endocrine Surgery Unit, Department of Surgery and Oncology, University and Hospital Trust of Verona, Verona, Italy
| | - Luca Mezzetto
- Department of Vascular Surgery, University and Hospital Trust of Verona, Verona, Italy
| | - Gian Franco Veraldi
- Department of Vascular Surgery, University and Hospital Trust of Verona, Verona, Italy
| | - Luca Novelli
- Institute for Histopathology and Molecular Diagnosis, Careggi University Hospital, Florence, Italy
| | - Matteo Brunelli
- Pathology Unit, Department of Pathology and Diagnostics, University and Hospital Trust of Verona, Verona, Italy
| | - Stefania Montemezzi
- Radiology Unit, Department of Pathology and Diagnostics, University and Hospital Trust of Verona, Verona, Italy
| | - Albino Eccher
- Pathology Unit, Department of Pathology and Diagnostics, University and Hospital Trust of Verona, Verona, Italy
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