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SlicerPIT: software development and implementation for planning and image-guided therapy in photoimmunotherapy

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International Journal of Clinical Oncology Aims and scope Submit manuscript

Abstract

Background

Photoimmunotherapy is a treatment modality that induces targeted cell death by binding a molecular-targeted drug activated by infrared light to the tumor cells and subsequently illuminating the lesion with infrared light. For deep lesions, a needle catheter is used to puncture the tumor, and an illumination fiber (cylindrical diffuser) is inserted into the catheter lumen for internal illumination. However, it can be challenging to place the cylindrical diffusers in an appropriate position as the deep lesions cannot be often confirmed accurately during surgery.

Materials and methods

We have developed "SlicerPIT", a planning simulation software for photoimmunotherapy. SlicerPIT allows users to place the cylindrical diffuser with its illumination range on preoperative images in 2D and 3D and export the planning data to external image-guided surgical navigation systems. We performed seven cycles of photoimmunotherapy with SlicerPIT in three patients with recurrent head and neck cancer.

Results

Preoperative planning for photoimmunotherapy was conducted using SlicerPIT, which could be imported into the navigation system. During the operation, we punctured the needle catheters along with the treatment plan on the navigation screen. Subsequently, intraoperative CT imaging was performed and overlaid with the preoperative treatment plan to confirm the alignment of the cylindrical diffusers as planned, followed by infrared light illumination. Postoperative imaging showed necrosis and shrinkage of the entire tumor in all cycles.

Conclusion

SlicerPIT allows for detailed preoperative treatment planning and accurate puncture. It may be a valuable tool to improve the accuracy of photoimmunotherapy for deep lesions and improve patient outcomes.

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References

  1. Mitsunaga M, Ogawa M, Kosaka N et al (2011) Cancer cell-selective in vivo near infrared photoimmunotherapy targeting specific membrane molecules. Nat Med 17:1685–1691

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. Kobayashi H, Furusawa A, Rosenberg A et al (2021) Near-infrared photoimmunotherapy of cancer: a new approach that kills cancer cells and enhances anti-cancer host immunity. Int Immunol 33:7–15

    Article  CAS  PubMed  Google Scholar 

  3. Nishikawa D, Suzuki H, Beppu S et al (2022) Near-infrared photoimmunotherapy for oropharyngeal cancer. Cancers. https://doi.org/10.3390/cancers14225662

    Article  PubMed  PubMed Central  Google Scholar 

  4. Tahara M, Okano S, Enokida T et al (2021) A phase I, single-center, open-label study of RM-1929 photoimmunotherapy in Japanese patients with recurrent head and neck squamous cell carcinoma. Int J Clin Oncol 26:1812–1821

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  5. Okamoto I, Okada T, Tokashiki K et al (2022) A case treated with photoimmunotherapy under a navigation system for recurrent lesions of the lateral pterygoid muscle. In Vivo 36:1035–1040

    Article  PubMed  PubMed Central  Google Scholar 

  6. Koyama S, Ehara H, Donishi R et al (2023) Photoimmunotherapy with surgical navigation and computed tomography guidance for recurrent maxillary sinus carcinoma. Auris Nasus Larynx 50:646–651

    Article  PubMed  Google Scholar 

  7. Fedorov A, Beichel R, Kalpathy-Cramer J et al (2012) 3D slicer as an image computing platform for the quantitative imaging network. Magn Reson Imaging 30:1323–1341

    Article  PubMed  PubMed Central  Google Scholar 

  8. Kato T, Wakiyama H, Furusawa A et al (2021) Near infrared photoimmunotherapy; a review of targets for cancer therapy. Cancers. https://doi.org/10.3390/cancers13112535

    Article  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

This work was supported by JSPS KAKENHI Grant Numbers JP23K15881, JP21K10037, JP21K07717.

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Correspondence to Satoshi Kano.

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Suzuki, T., Kano, S., Suzuki, M. et al. SlicerPIT: software development and implementation for planning and image-guided therapy in photoimmunotherapy. Int J Clin Oncol (2024). https://doi.org/10.1007/s10147-024-02516-0

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  • DOI: https://doi.org/10.1007/s10147-024-02516-0

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