Combined Use of Three-Dimensional Construction and Indocyanine Green-Fluorescent Imaging for Resection of Multiple Lung Metastases in Hepatoblastoma.
Shugo KomatsuKeita TeruiMitsuyuki NakataRyohei ShibataSatoru OitaYunosuke KawaguchiHiroko YoshizawaTomoya HirokawaErika NakataniTomoro HishikiPublished in: Children (Basel, Switzerland) (2022)
It is essential to accurately and safely resect all tumors during surgery for multiple lung metastases. Here, we report a case of hepatoblastoma (HB) with multiple pulmonary nodules that ultimately underwent complete resection using combined three-dimensional image reconstruction and indocyanine green (ICG) fluorescence guidance. A 1-year-old boy was diagnosed with HB and multiple lung metastases. After intensive chemotherapy, complete resection with subsegmentectomy (S5 + 6) and partial resection (S3, S8) were performed. More than 100 pulmonary nodules, which remained visible on computed tomography (CT) despite additional postoperative chemotherapy, were subjected to pulmonary resection. We used the SYNAPSE VINCENT software (Fujifilm Medical, Tokyo, Japan) to obtain three-dimensional images of the nodules. We numbered each nodule, and 33 lesions of the right lung were resected by multiple wedge resections through a right thoracotomy, with the aid of palpation and ICG fluorescence guidance. One month after the right metastasectomy, resection of 64 lesions in the left lung was performed via left thoracotomy. Postoperative CT showed complete clearance of the lung lesions, and the patient remained disease-free for 15 months after the treatment. This case study confirms that the combination of three-dimensional localization and ICG fluorescence guidance allows for accurate and safe resection of nearly 100 lung metastases.
Keyphrases
- computed tomography
- pulmonary hypertension
- patients undergoing
- high resolution
- healthcare
- magnetic resonance imaging
- positron emission tomography
- fluorescence imaging
- minimally invasive
- single molecule
- image quality
- dual energy
- lymph node
- heart failure
- magnetic resonance
- squamous cell carcinoma
- machine learning
- optical coherence tomography
- living cells