ANTERIOR MEDIASTINAL MASSES IN CHILDREN: A RADIOLOGIC REVIEW BY CHATGPT

Yıl 2023, Cilt: 3 Sayı: 2, 3 - 8, 02.09.2023

Çağrı Damar

Öz

Anterior mediastinal masses (AMMs), while rare in children, pose a significant
risk due to their potential for life-threatening complications. Positioned within the
anterior mediastinum — the space between the sternum and pericardium, filled with
connective tissue, lymphatic structures, and the thymus gland — these masses
present with a wide range of clinical manifestations. Prompt identification and
appropriate management are critical. This review presents an AI chatbot-generated
exploration of anterior mediastinal masses in children, specifically using
"ChatGPT" (built on the GPT-3.5 architecture by OpenAI). The final text underwent
a language edit and plagiarism check via the GPT-4 version.

Anahtar Kelimeler

artificial intelligence, Radiology, pediatrics, artificial intelligence and radiology

ÇOCUKLARDA ÖN MEDIASTEN KİTLELERİ: CHATGPT TARAFINDAN YAZILMIŞ BIR RADYOLOJİK DERLEME

Öz

Ön mediastinal kitleleri çocuklarda nadir olmakla birlikte yaşamı tehdit eden
komplikasyon potansiyeli nedeniyle önemli bir risk oluşturmaktadır. Ön
mediastende (sternum ve perikard arasındaki bağ dokusu, lenfatik yapılar ve timus
beziyle dolu boşluk) yer alan bu kitleler çok çeşitli klinik belirtilerle ortaya çıkar.
Hızlı tanımlama ve uygun yönetim kritik öneme sahiptir. Bu derleme, özellikle
"ChatGPT" (OpenAI tarafından GPT-3.5 mimarisi üzerine inşa edilmiştir)
kullanılarak çocuklarda anterior mediastinal kitlelerinin AI chatbot tarafından
oluşturulan bir araştırma özetini sunmaktadır. Nihai metin, GPT-4 sürümü
aracılığıyla bir dil düzenlemesinden ve intihal kontrolünden geçti.

Anahtar Kelimeler

yapay zeka, radyoloji, pediatri, yapay zeka ve radyoloji

Kaynakça

• 1. Nakazono T, Yamaguchi K, Egashira R, Mizuguchi M, Irie H. Anterior mediastinal lesions: CT and MRI features and differential diagnosis. Japanese journal of radiology. 2021;39(2): 101-17. Epub 2020/09/04. doi: 10.1007/s11604-020-01031-2. PubMed PMID: 32880074.
• 2. Juanpere S, Cañete N, Ortuño P, Martínez S, Sanchez G, Bernado L. A diagnostic approach to the mediastinal masses. Insights into imaging. 2013;4:29-52.
• 3. Shahrzad M, Le TSM, Silva M, Bankier AA, Eisenberg RL. Anterior mediastinal masses. Am J Roentgenol. 2014;203 (2):W128-W38.
• 4. Biko DM, Lichtenberger JP, 3rd, Rapp JB, Khwaja A, Huppmann AR, Chung EM. Mediastinal Masses in Children: Radiologic-Pathologic Correlation. Radiographics. 2021;41 (4):1186-207. Epub 2021/06/05. doi: 10.1148/rg.2021200180. PubMed PMID: 34086496.
• 5. Thacker PG. Magnetic resonance imaging of the pediatric mediastinum: updates, tips and tricks. Pediatr Radiol. 2022;52(2):323-33. Epub 2021/03/25. doi: 10.1007/s00247-021- 05041-8. Pub Med PMID: 33759023.
• 6. Mallick S, Jain S, Ramteke P. Pediatric mediastinal lymphoma. Mediastinum (Hong Kong, China). 2020;4:22. Epub 2020/09/30. doi: 10.21037/med-20-37. PubMed PMID: 35118290; PubMed Central PMCID: PMCPMC8794281.
• 7. Nakazono T, Yamaguchi K, Egashira R, Takase Y, Nojiri J, Mizuguchi M, et al. CT-based mediastinal compartment classifications and differential diagnosis of mediastinal tumors. Japanese journal of radiology. 2019;37(2):117-34. Epub 2018/09/ 22. doi: 10.1007/s11604-018-0777-5. PubMed PMID: 30238278.
• 8. Park JW, Jeong WG, Lee JE, Lee H-j, Ki SY, Lee BC, et al. Pictorial review of mediastinal masses with an emphasis on magnetic resonance imaging. Korean journal of radiology. 2021;22(1):139.
• 9. Carter BW, Benveniste MF, Madan R, Godoy MC, De Groot PM, Truong MT, et al. ITMIG classification of mediastinal compartments and multidisciplinary approach to mediastinal masses. Radiographics. 2017;37(2):413-36 . 10. Sanford Z, Weltz AS, Brown J, Shockcor N, Wu N, Park AE. Morgagni Hernia Repair: A Review. Surg Innov. 2018;25 (4):389-99. doi: 10.1177/1553350618777053.
• 11. Johnson D, Goodman R, Patrinely J, Stone C, Zimmerman E, Donald R, et al. Assessing the Accuracy and Reliability of AI-Generated Medical Responses: An Evaluation of the Chat-GPT Model. Research square. 2023. Epub 2023/03/14. doi: 10.21203/rs.3.rs-2566942/v1. PubMed PMID: 36909565; PubMed Central PMCID: PMCPMC10002821.
• 12. Zheng H, Zhan H. ChatGPT in Scientific Writing: A Cautionary Tale. Am J Med. 2023. Epub 2023/03/12. doi: 10.1016/j. amjmed.2023.02.011. PubMed PMID: 36906169.
• 13. Labruna T, Brenna S, Zaninello A, Magnini B. Unraveling ChatGPT: A Critical Analysis of AI-Generated GoalOriented Dialogues and Annotations. arXiv preprint arXiv:2305.14556 2023.