Expanding the application of cancer near-infrared photoimmunotherapy

Kobayashi, Hisataka

doi:10.1016/j.ebiom.2021.103416

Cited by 4 publications

(1 citation statement)

References 11 publications

(16 reference statements)

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“…Several light-based cancer treatment methods have been reported, including photodynamic therapy, photothermal therapy, and near-infrared (NIR) photoimmunotherapy (NIR-PIT). 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 Of these, NIR-PIT, which received conditional approval in Japan in September 2020, has attracted increasing attention. NIR-PIT induces cell necrosis with high tissue selectivity and minimal side effects; 11 thus, it is expected to become the fifth clinical cancer treatment modality after surgery, chemotherapy, radiotherapy, and cancer immunotherapy.…”

Section: Introductionmentioning

confidence: 99%

Inside-the-body light delivery system using endovascular therapy-based light illumination technology

Tsukamoto¹,

Fujita²,

Shimogami³

et al. 2022

eBioMedicine

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Section: Introductionmentioning

confidence: 99%

Inside-the-body light delivery system using endovascular therapy-based light illumination technology

Tsukamoto¹,

Fujita²,

Shimogami³

et al. 2022

eBioMedicine

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Delta-like ligand 3 in small cell lung cancer: Potential mechanism and treatment progress

Yang,

Wang,

et al. 2023

Critical Reviews in Oncology/Hematology

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An Optimized Approach for Prostate Image Segmentation Using K‐Means Clustering Algorithm with Elbow Method

Sammouda

El-Zaart

2021

Computational Intelligence and Neuroscience

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Prostate cancer disease is one of the common types that cause men’s prostate damage all over the world. Prostate-specific membrane antigen (PSMA) expressed by type-II is an extremely attractive style for imaging-based diagnosis of prostate cancer. Clinically, photodynamic therapy (PDT) is used as noninvasive therapy in treatment of several cancers and some other diseases. This paper aims to segment or cluster and analyze pixels of histological and near-infrared (NIR) prostate cancer images acquired by PSMA-targeting PDT low weight molecular agents. Such agents can provide image guidance to resection of the prostate tumors and permit for the subsequent PDT in order to remove remaining or noneradicable cancer cells. The color prostate image segmentation is accomplished using an optimized image segmentation approach. The optimized approach combines the k-means clustering algorithm with elbow method that can give better clustering of pixels through automatically determining the best number of clusters. Clusters’ statistics and ratio results of pixels in the segmented images show the applicability of the proposed approach for giving the optimum number of clusters for prostate cancer analysis and diagnosis.

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Expanding the application of cancer near-infrared photoimmunotherapy

Cited by 4 publications

References 11 publications

Inside-the-body light delivery system using endovascular therapy-based light illumination technology

Inside-the-body light delivery system using endovascular therapy-based light illumination technology

Delta-like ligand 3 in small cell lung cancer: Potential mechanism and treatment progress

An Optimized Approach for Prostate Image Segmentation Using K‐Means Clustering Algorithm with Elbow Method

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