CT 3D Reconstruction Technology and AI Recognition Technology in the Application of Rib Fibrous Dysplasia: A Case Report

Zhengzuo Sheng; Jinghua Fan; Siyu Chen; Yushan Liu; Su Chen; Ruiheng Ding

doi:10.18502/dmj.v8i2.19008

Authors

Zhengzuo Sheng Department of Thoracic Surgery, Fu Xing Hospital, the Eighth Clinical Medical College, Capital Medical University, Beijing https://orcid.org/0000-0002-2021-6808
Jinghua Fan Pathology Department, Fu Xing Hospital, the Eighth Clinical Medical College, Capital Medical University, Beijing
Siyu Chen Shanxi Medical University, Shanxi Province
Yushan Liu Department of Thoracic Surgery, Fu Xing Hospital, the Eighth Clinical Medical College, Capital Medical University, Beijing
Su Chen Department of Thoracic Surgery, Fu Xing Hospital, the Eighth Clinical Medical College, Capital Medical University, Beijing
Ruiheng Ding Department of Nephrology, Fu Xing Hospital, the Eighth Clinical Medical College, Capital Medical University, Beijing

DOI:

https://doi.org/10.18502/dmj.v8i2.19008

Keywords:

fibrosarcoma, computed tomography, artificial intelligence, surgical procedure, thoracic neoplasm

Abstract

Background: Primary rib tumors are relatively rare and more difficult to diagnose compared to other tumors, leading to a higher risk of misdiagnosis.

Case: The patient was a 23-year-old male who presented with intermittent right-sided chest pain for six months. Six months prior, he developed right chest wall pain without an obvious cause, characterized by dull pain and occasional stabbing sensations, often accompanied by coughing and white mucus production, but no fever, night sweats, nausea, or vomiting. Symptoms would resolve on their own after about a week. CT 3D reconstruction technology and AI recognition suggested a rib tumor, requiring surgical removal. The surgery was successful, and the patient recovered well with no recurrence.

Conclusion: Primary rib tumors are rare. Using CT 3D reconstruction and AI recognition technology can improve preoperative diagnosis and assist in surgical planning.

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