Review
Biochemistry & Molecular Biology
Yoshinori Harada, Yasutoshi Murayama, Tetsuro Takamatsu, Eigo Otsuji, Hideo Tanaka
Summary: 5-Aminolevulinic acid (5-ALA) is a natural amino acid that can accumulate in cancer cells and be used for tumor visualization. However, its diagnostic applicability is challenging due to interference from tissue autofluorescence.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2022)
Article
Biochemistry & Molecular Biology
Martin Kiening, Norbert Lange
Summary: Most cancer research focuses on targeting specific types of cancer, but this can be limiting as not all cancers or patients express the necessary antigens for certain therapies. Combination therapies are promising but require personalized treatment and can be expensive. In this study, the researchers investigated the use of aminolevulinate-based photodynamic diagnosis and therapy for breast cancer and found that a novel derivative showed potential in accumulating the fluorescent protoporphyrin IX, which could aid in guided resection and destruction of cancer cells.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2022)
Article
Biochemistry & Molecular Biology
K. M. Tewari, R. Dondi, E. Yaghini, C. Pourzand, A. J. MacRobert, I. M. Eggleston
Summary: A novel peptide-targeted dendrimeric prodrug of 5-aminolevulinic acid (ALA) was successfully synthesized, which can effectively deliver ALA to specific cancer cell types. The prodrug system showed sustained and enhanced production of protoporphyrin IX (PpIX) in cancer cell lines over-expressing the epidermal growth factor receptor (EGFR+). This study provides proof of concept for the development of new generation prodrugs for ALA-based photodynamic therapy with enhanced ALA payload delivery to specific tissue types.
BIOORGANIC CHEMISTRY
(2021)
Article
Biochemical Research Methods
Sochi J. Ogbonna, William Y. York, Takahiro Nishimura, Hisanao Hazama, Hideo Fukuhara, Keiji Inoue, Kunio Awazu
Summary: This study aims to increase the fluorescence detection intensity of deeply located tumors during photodynamic diagnosis (PDD) by utilizing the concept of fluorescence photoswitching. The results showed that fluorescence photoswitching was observed in all forms of protoporphyrin IX (PpIX) investigated, and the fluorescence photoswitching time and intensity depended on the irradiation power density. Compared with the excitation of PpIX alone, simultaneous excitation of PpIX and its photoproduct achieved a fluorescence intensity increase of 1.6 to 3.9 times.
JOURNAL OF BIOMEDICAL OPTICS
(2023)
Review
Biochemistry & Molecular Biology
Martin Kiening, Norbert Lange
Summary: Mitochondria play essential roles in energy production, iron metabolism, apoptosis, and heme synthesis. Specifically, the accumulation of protoporphyrin IX photosensitizer has been observed in neoplastic cells, suggesting a selective mechanism. This report aims to provide an overview of mitochondrial heme metabolism and potential explanations for the selectivity towards cancer cells, including the involvement of enzymes and transporters.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2022)
Article
Biochemical Research Methods
Shakir Khan, Bofan Song, Srivalleesha Mallidi, Shaobai Li, Hui Liu, M. A. Bilal Hussain, Shaista Siddiqui, Amjad P. Khan, Kafil Akhtar, Shahid Ali Siddiqui, Syed Abrar Hasan, Colin Hopper, Stephen G. Bown, Rongguang Liang, Tayyaba Hasan, Jonathan P. Celli
Summary: India has a high incidence of oral squamous cell carcinoma (OSCC), but lacks medical infrastructure and routine screening, especially in rural areas. This study aims to use a hand-held smartphone-coupled intraoral imaging device for detection and photodynamic therapy (PDT) of oral cancer. The results suggest the utility of this low-cost device for image-guided PDT and treatment monitoring.
JOURNAL OF BIOMEDICAL OPTICS
(2023)
Review
Oncology
Hung Wei Lai, Taku Nakayama, Shun-ichiro Ogura
Summary: Studies have shown that administration of aminolevulinic acid can lead to the formation and accumulation of protoporphyrin IX in cancer cells, resulting in photocytotoxicity upon light irradiation. Transporters play a crucial role in regulating the amount of substrates, with their expression levels influenced by factors such as oxygen availability and iron ions.
INTERNATIONAL JOURNAL OF CLINICAL ONCOLOGY
(2021)
Article
Medicine, General & Internal
Seiko Tatehara, Toru Sato, Yusuke Takebe, Momoka Fujinaga, Chiaki Tsutsumi-Arai, Yumi Ito, Kazuhito Satomura
Summary: This study aimed to improve the diagnostic accuracy of photodynamic diagnosis for oral lesions using objective chromaticity analysis. The results showed that chromaticity analysis could effectively distinguish oral cancer and high-risk dysplasia from low-risk dysplasia or benign lesions. Photodynamic diagnosis combined with chromaticity analysis may be a valuable diagnostic tool for oral lesions.
Article
Biochemical Research Methods
Mario Mischkulnig, Denise Traxler, Lisa I. Wadiura, Alexandra Lang, Matthias Millesi, Barbara Kiesel, Georg Widhalm
Summary: The study compared the detection of PpIX concentrations between a conventional fluorescence microscope and a novel loupe device. The results showed that the minimal detectable PpIX concentrations were significantly lower using the loupe device compared to the conventional fluorescence microscope, indicating that the novel loupe device can visualize 5-ALA fluorescence with high sensitivity.
JOURNAL OF BIOMEDICAL OPTICS
(2023)
Article
Biochemical Research Methods
Michelle Barreto Requena, Andi Dian Permana, Jose Dirceu Vollet-Filho, Patricia Gonzalez-Vazquez, Marlon Rodrigues Garcia, Clara Maria Goncalves De Faria, Sebastiao Pratavieira, Ryan F. Donnelly, Vanderlei Salvador Bagnato
Summary: The study developed and characterized dissolving microneedles for enhanced drug delivery, showing promising results for treating thicker skin lesions with topical photodynamic therapy.
JOURNAL OF BIOPHOTONICS
(2021)
Review
Chemistry, Medicinal
Yo Shinoda, Daitetsu Kato, Ryosuke Ando, Hikaru Endo, Tsutomu Takahashi, Yayoi Tsuneoka, Yasuyuki Fujiwara
Summary: The study reviewed and analyzed the effectiveness of 5-ALA PDT in vitro experiments for different cancer cell types, finding that the sensitivity to 5-ALA PDT varies across cancer classifications, with stomach cancer showing significantly higher sensitivity compared to other cancers. The analysis suggests the need for a standardized in vitro experimental protocol for 5-ALA PDT in future research.
Article
Biochemistry & Molecular Biology
Safieh Ebrahimi, Farshad Mirzavi, Seyed Isaac Hashemy, Maryam Khaleghi Ghadiri, Walter Stummer, Ali Gorji
Summary: This study evaluated the potential anti-cancer synergy of aprepitant, a neurokinin-1 receptor antagonist, and 5-aminolevulinic acid (5-ALA) on U-87 human GBM cells. The combination treatment of aprepitant and 5-ALA showed significant growth inhibitory, pro-apoptotic, and anti-migratory effects on GBM cells. These effects were more prominent than either drug used alone. The findings provide a basis for further research on the combination of aprepitant and 5-ALA as a novel therapeutic approach for GBM.
Article
Oncology
Takashi Yokoyama, Makoto Toguchi, Junpei Iizuka, Shigeru Horita, Tsutomu Ishizuka, Yu Chu-Su, Yoji Nagashima, Toshio Takagi, Kazunari Tanabe, Yoshikazu Tokuoka
Summary: This study proposed a protocol that utilizes ALA-PpIX staining and ImageJ analysis to enhance the accuracy of urine cytology analysis.
PHOTODIAGNOSIS AND PHOTODYNAMIC THERAPY
(2022)
Article
Biochemical Research Methods
Pratheeba Palasuberniam, Daniel Kraus, Matthew Mansi, Richard Howley, Alexander Braun, Kenneth Myers, Bin Chen
Summary: The study demonstrates that clinically used kinase inhibitors can enhance the application of aminolevulinic acid (ALA) in tumor fluorescence imaging and photodynamic therapy (PDT). Among the kinase inhibitors tested, lapatinib showed the most significant enhancement in PpIX fluorescence and PDT response, particularly in tumors with high ABCG2 activity, suggesting its potential for therapeutic enhancement in combination with ALA.
JOURNAL OF BIOMEDICAL OPTICS
(2021)
Article
Oncology
Dorothee C. Spille, Eva C. Bunk, Christian Thomas, Zeynep Oezdemir, Andrea Wagner, Burak H. Akkurt, Manoj Mannil, Werner Paulus, Oliver M. Grauer, Walter Stummer, Volker Senner, Benjamin Brokinkel
Summary: This study investigated the use of 5-ALA-mediated fluorescence-guided resection (FGR) in meningiomas and found that it has high sensitivity and specificity for the identification of tumor tissue. It also showed a correlation between fluorescence and the expression of key enzymes and transporters. However, there are limitations in visualizing the dura tail or CNS invasion.
Article
Dentistry, Oral Surgery & Medicine
Bimeng Jie, Boxuan Han, Baocheng Yao, Yi Zhang, Hongen Liao, Yang He
Summary: This study proposed and validated an automatic approach based on iterative closest point algorithm for virtual complement and reconstruction of maxillofacial bone defects. The algorithm showed promising results in both model experiments and clinical applications, accurately predicting reference data for missing maxillofacial bone.
CLINICAL ORAL INVESTIGATIONS
(2022)
Article
Computer Science, Interdisciplinary Applications
Fang Chen, Haoran Ye, Daoqiang Zhang, Hongen Liao
Summary: This study proposes a novel type-aware encoder-decoder network (TypeSeg) for multi-type ultrasound images co-segmentation, achieving excellent segmentation results through type-aware metric learning module and decision module.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2022)
Article
Acoustics
Yuanyuan Wang, Yao Zhang, Qiong He, Hongen Liao, Jianwen Luo
Summary: In this study, specific patterns of lung ultrasound (LUS) images were analyzed to assess the severity of COVID-19 pneumonia. Features related to the pleural line (PL) and B-lines (BLs) were extracted from the images, and their correlations with disease severity were evaluated. The results showed that the thickness and roughness of the PL, as well as the number, accumulated width, and accumulated intensity of BLs, were significantly correlated with disease severity. The best classification performance was achieved using a support vector machine (SVM) classifier that utilized all the features as input.
IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
(2022)
Article
Acoustics
Jingke Zhang, Yuanyuan Wang, Jing Liu, Qiong He, Rui Wang, Hongen Liao, Jianwen Luo
Summary: CS-STA is extended to the I/Q domain for the recovery of baseband STA I/Q dataset, accelerating the reconstruction process and reducing data processing. Simulations, phantom, and in vivo experiments confirm the feasibility and improved reconstruction speed of CS-STA in the I/Q domain for recovering STA dataset.
Article
Computer Science, Information Systems
Hee Guan Khor, Guochen Ning, Xinran Zhang, Hongen Liao
Summary: This paper proposes a novel wavelet-based generative adversarial network for real-time high-quality ultrasound image reconstruction, effectively addressing the issue of preserving maximum boundary contrast when removing noise and speckle. Experimental results demonstrate that the method performs well in despeckling and has the potential to be generalized to clinical applications.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
(2022)
Review
Engineering, Biomedical
Longfei Ma, Tianqi Huang, Jie Wang, Hongen Liao
Summary: This paper reviews and analyzes the visualization, registration, and tracking techniques in augmented reality (AR) surgical navigation systems and their applications in different surgical fields. The types of AR visualization are classified into in situ and non in situ visualization, with various rendering contents. Registration methods include manual registration, point-based registration, surface registration, marker-based registration, and calibration-based registration. Tracking methods consist of self-localization, tracking with integrated cameras, external tracking, and hybrid tracking. The paper also discusses the challenges and future development trends of AR in surgical fields.
PHYSICS IN MEDICINE AND BIOLOGY
(2023)
Article
Computer Science, Information Systems
Chuanhao Zhang, Emil Jovanov, Hongen Liao, Yuan-Ting Zhang, Benny Lo, Yuan Zhang, Cuntai Guan
Summary: With the development of modern cameras, physiological signals can now be obtained from portable devices like smartphones. In this paper, a framework called cocktail causal container is proposed to fuse multiple physiological representations and reconstruct the correlation between frequency and temporal information for blood pressure and blood glucose classification. The framework utilizes a token feature fusion block and a causal net to extract discriminative features and disentangle latent factors. A pair-wise temporal frequency map is also developed for extracting PPG information. Extensive comparisons using clinical data and PPG-BP benchmark show promising results with low error rate and high precision.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
(2023)
Article
Engineering, Biomedical
Liutong Zhang, Guochen Ning, Lei Zhou, Hongen Liao
Summary: This paper presents a novel symmetric pyramid network for medical image inverse consistent diffeomorphic registration. It encodes multi-scale images to feature pyramids and conducts feature-level diffeomorphic registration symmetrically. The proposed method outperforms others in accurate alignment and generates deformation fields with expected properties.
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
(2023)
Article
Engineering, Biomedical
Fang Chen, Haojie Han, Guochen Ning, Baojie Wen, Hongen Liao, Wentao Kong, Daoqiang Zhang
Summary: The immunohistochemical index is important for the selection of treatment strategy for breast cancer patients. This study proposes a Tri-Branch deep learning network to predict immunohistochemical HER2 using hybrid ultrasound data. The experimental results show that the Tri-Branch model has a high accuracy of 86.23% for HER2 status prediction.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
(2023)
Article
Engineering, Biomedical
Guochen Ning, Hanying Liang, Xinran Zhang, Hongen Liao
Summary: In this study, a decoupled control strategy for autonomous robotic vascular ultrasound imaging in an environment without external vision was proposed. The system could perform autonomous vascular imaging and achieve reproducible imaging and reconstruction of dynamic targets without relying on vision-based surface information.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
(2023)
Article
Engineering, Biomedical
Fang Chen, Haojie Han, Peng Wan, Hongen Liao, Chunrui Liu, Daoqiang Zhang
Summary: The study introduces Trans-CEUS model, which combines dynamic swin-transformer and multi-level feature collaborative learning for accurate segmentation of lesions with ambiguous boundary in CEUS images. A variant transformer-based global spatial-temporal fusion method is proposed to enhance the differential diagnosis of dynamic CEUS.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
(2023)
Article
Computer Science, Interdisciplinary Applications
Wenxi Yue, Hongen Liao, Yong Xia, Vincent Lam, Jiebo Luo, Zhiyong Wang
Summary: This paper proposes a Cascade Multi-Level Transformer Network (CMTNet) for recognizing surgical phases, and introduces the Adaptive Multi-Level Context Aggregation (AMCA) modules. Through the gradual enrichment of multi-level semantics and the refinement of key context, CMTNet achieves more accurate phase prediction.
IEEE TRANSACTIONS ON MEDICAL IMAGING
(2023)
Article
Automation & Control Systems
Jie Wang, Chengquan Hu, Guochen Ning, Longfei Ma, Xinran Zhang, Hongen Liao
Summary: This article presents a novel miniature spring-based cable-driven continuum manipulator characterized by its offset neutral bending plane and simple structure. The manipulator has advantages of easy miniaturization, bending stability and uniformity, a large central channel, smaller cable tension required, and low cost. Kinematics and statics models are presented, and experimental verification is conducted to confirm the accuracy and design superiority. Teleoperation experiments of peg-transfer tasks and porcine tissue laser ablation are conducted to verify the feasibility and effectiveness of the proposed manipulator in different forms. Various design variations are showcased to enrich manipulator design and functionality.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2023)
Article
Computer Science, Artificial Intelligence
Hee Guan Khor, Guochen Ning, Yihua Sun, Xu Lu, Xinran Zhang, Hongen Liao
Summary: The study proposes a Multi-Task Learning framework that combines registration and segmentation tasks to enhance image realism. By fusing high-level features, the registration network focuses on deformable parts with the help of initial anatomical segmentation. The proposed methodology outperforms previous approaches in brain and uterus MRI registration tasks, achieving state-of-the-art registration quality scores with 0.8% and 0.5% increases in DSC, respectively.
MEDICAL IMAGE ANALYSIS
(2023)
Article
Engineering, Biomedical
Shangqi Dai, Chengquan Hu, Longfei Ma, Xinran Zhang, Hui Zhang, Hongen Liao
Summary: This paper introduces a stiffness-tunable soft actuator (STSA) that combines a silicone body with a thermoplastic resin structure (TPRS). The STSA allows for variable stiffness of soft robots, increasing their potential for use in medical scenarios, such as minimally invasive surgeries. By adjusting the stiffness of the STSA, it enhances the robot's dexterity and adaptability for complex tasks in narrow and delicate spaces.
INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY
(2023)