Article
Multidisciplinary Sciences
Gefei Chen, Zhonglin Lu, Han Jiang, Ko-Han Lin, Greta S. P. Mok
Summary: In this study, a new VSV method is proposed and compared with PM, MC and other VSV methods for Y-90 RE treatment planning. The results show that LiCKLuKD method has the smallest deviation in the liver and tumors, while LiLuKD and LiCKLuKD perform the best in the lungs.
SCIENTIFIC REPORTS
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Zhonglin Lu, Gefei Chen, Han Jiang, Jingzhang Sun, Ko-Han Lin, Greta S. P. Mok
Summary: The study aimed to reduce the mismatch between static [Tc-99m]Tc-MAA SPECT and CT using two registration schemes, resulting in improved estimation of lung shunting fraction (LSF) and tumor-to-normal liver ratio (TNR). The results showed that registration significantly reduced estimation errors and improved dosimetric estimation.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
(2023)
Article
Oncology
Max Masthoff, Philipp Schindler, Fabian Harders, Walter Heindel, Christian Wilms, Hartmut H. Schmidt, Andreas Pascher, Lars Stegger, Kambiz Rahbar, Michael Kohler, Moritz Wildgruber
Summary: This study analyzed patients' characteristics and reasons for not performing planned transarterial radioembolization (TARE) in liver cancer after Tc-99m-labeled macroaggregated albumin (Tc-99m-MAA) evaluation. A significant number of patients were unable to undergo TARE due to various reasons, highlighting the importance of careful patient selection and evaluation.
JOURNAL OF CANCER RESEARCH AND CLINICAL ONCOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Zhonglin Lu, Gefei Chen, Kuan-Heng Lin, Tung-Hsin Wu, Greta S. P. Mok
Summary: This study aims to evaluate the effects of AC and VOI segmentation on the quantitation accuracy of SPECT, and proposes a CT map for the estimation of LSF and TNR. The results show that HCT-MID performs slightly better for AC effect and HCT-EX and HCT-MID perform better for VOI effect in LSF and TNR estimation.
Editorial Material
Radiology, Nuclear Medicine & Medical Imaging
Aubrey E. Frazzitta, Matthew D. Kay, Devdutta Warhadpande, Phillip H. Kuo
Summary: This case report describes a patient with hepatocellular carcinoma and decompensated liver disease, whose disease progressed and resulted in the formation of hepatic abscess and pulmonary embolism detected before treatment.
CLINICAL NUCLEAR MEDICINE
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Anucha Chaichana, Eric C. Frey, Ajalaya Teyateeti, Kijja Rhoongsittichai, Chiraporn Tocharoenchai, Pawana Pusuwan, Kulachart Jangpatarapongsa
Summary: This study developed a CNN-based method for automated lungs, liver, and tumor segmentation on Tc-99m-MAA SPECT/CT images for Y-90 SIRT planning, showing accurate segmentation results with good correlation with clinical reference segmentations.
Article
Biochemistry & Molecular Biology
Letizia Canziani, Manuela Marenco, Giorgio Cavenaghi, Giulia Manfrinato, Angelo Taglietti, Alessandro Girella, Carlo Aprile, Giovanna Pepe, Lorenzo Lodola
Summary: This study aims to improve the understanding of the properties of macroaggregated human serum albumin (MAA), including its morphology, size, dimension, and physical-chemical characteristics, as well as its bond with Tc-99m and Ga-68. The results show that MAA has a dimension range of 43-51 μm and can be efficiently radiolabelled without discrimination of different radioisotopes.
Article
Oncology
Yingwei Wang, Chao Wang, Lin Liu, Xinwen Huang, Zhaoyou Guo, Wei Zeng, Rui Sun, Yue Chen
Summary: By comparing the radionuclide salivagram single-photon emission computed tomography (SPECT/CT) with videofluoroscopic swallowing study (VFSS) in diagnosing esophageal fistula in 11 patients, it was found that SPECT/CT and VFSS are complementary, greatly improving the clinical diagnosis and prognosis of esophageal fistula patients.
FRONTIERS IN ONCOLOGY
(2021)
Editorial Material
Radiology, Nuclear Medicine & Medical Imaging
Selin Kesim, Salih Ozguven, Kevser Oksuzoglu, Tanju Yusuf Erdil
Summary: We report a pediatric case of T-cell lymphoblastic leukemia with persistent chylothorax who underwent lymphoscintigraphy to identify the site of leakage. Planar lymphoscintigraphy with SPECT/CT revealed hot spots at the left jugulovenous angle and the confluens of the vena brachiocephalica to vena cava, which were consistent with the sites of leakage. Hybrid imaging with SPECT/CT technique has a significant impact on accurately detecting lymphatic system defects in patients with chylothorax.
CLINICAL NUCLEAR MEDICINE
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Xi Jia, Xinru Li, Bing Jia, Ye Yang, Yuanbo Wang, Yan Liu, Ting Ji, Xin Xie, Yu Yao, Guanglin Qiu, Huixing Deng, Zhaohui Zhu, Si Chen, Aimin Yang, Rui Gao
Summary: In this study, we evaluated the potential effect of [Tc-99m]Tc-HFAPi in clinical analysis for digestive system tumours and found that it has a higher sensitivity and specificity than ceCT in diagnosing distant metastases, especially in identifying liver metastases.
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
(2023)
Editorial Material
Radiology, Nuclear Medicine & Medical Imaging
Matthieu Dietz, Salim Si-Mohamed, Agathe Deville, Jeremie Tordo, Caroline Moreau-Triby
Summary: A 35-year-old woman underwent a VQ pulmonary scintigraphy for suspected pulmonary embolism, but unexpectedly showed uptake of Tc-99m-MAA in several superior vertebrae. CT scan revealed a dilated collateral paravertebral venous system due to deep vein thrombosis, where Tc-99m-MAA was trapped.
CLINICAL NUCLEAR MEDICINE
(2021)
Article
Medicine, Research & Experimental
Qing Ruan, Junhong Feng, Yuhao Jiang, Xuran Zhang, Xiaojiang Duan, Qianna Wang, Guangxing Yin, Di Xiao, Junbo Zhang
Summary: Fibroblast activation protein (FAP) is highly expressed in cancer-associated fibroblasts (CAFs) and has become a promising target for tumor therapy. Two isocyanide-containing FAP inhibitors were synthesized, radiolabeled, and showed good stability and specificity to FAP. These inhibitors demonstrated high target affinity and promising tumor imaging potential in preclinical studies.
MOLECULAR PHARMACEUTICS
(2022)
Article
Medicine, General & Internal
Diego Fernando Lopez, Valentina Rios Borras, Juan Manuel Munoz, Rodrigo Cardenas-Perilla, Luis Eduardo Almeida
Summary: The study found a significant correlation between mandibular deviation quantified on CT and metabolic findings obtained by SPECT in patients with UCH. The risk of active UCH was 3.5 times higher in patients with a mandibular deviation of 6 mm or more compared to those with less than 6 mm.
Editorial Material
Radiology, Nuclear Medicine & Medical Imaging
Cesar D. Zarate-Garcia, David R. Cardoza-Ochoa, Yazmin Sanchez-Vera, Jorge Ivan Gonzalez-Diaz
Summary: Breast cancer in men is rare but can present with symptoms such as low back pain and skeletal metastases. This case highlights the use of SPECT/CT with Tc-99m-EDDA/HYNIC-inhibitor prostate-specific membrane antigen for diagnosis. The biopsy confirmed infiltrating ductal carcinoma with positive hormone receptors and indeterminate HER2 status.
CLINICAL NUCLEAR MEDICINE
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Babak Fallahi, Niloufar Khademi, Najme Karamzade-Ziarati, Armaghan Fard-Esfahani, Alireza Emami-Ardekani, Saeed Farzanefar, Mohammad Eftekhari, Davood Beiki
Summary: In patient-based evaluation, both Tc-99m-PSMA SPECT/CT and Ga-68-PSMA PET/CT scans were positive in 95.45% (21/22) of patients. In region-based evaluation, Ga-68-PSMA PET/CT detected more regions compared to Tc-99m-PSMA SPECT/CT, with lower detection rates in the prostate bed being the main difference. There was a significant correlation between serum prostate-specific antigen level and disease extension detected by both modalities.
CLINICAL NUCLEAR MEDICINE
(2021)
Article
Ophthalmology
Peng Liu, Risa Higashita, Philip Yawen Guo, Keiichiro Okamoto, Fei Li, Anwell Nguyen, Rei Sakata, Lixin Duan, Makoto Aihara, Shan Lin, Xiulan Zhang, Christopher Kai-Shun Leung, Jiang Liu
Summary: This study aimed to apply a deep learning model for automatic localization of the scleral spur (SS) in anterior segment optical coherence tomography (AS-OCT) images and compare the reproducibility of anterior chamber angle (ACA) width between deep learning located SS (DLLSS) and manually plotted SS (MPSS). The results showed that the agreement and repeatability between DLLSS and MPSS were comparable.
BRITISH JOURNAL OF OPHTHALMOLOGY
(2023)
Article
Computer Science, Artificial Intelligence
Qifeng Yan, Yuanyuan Gu, Jinyu Zhao, Wenjun Wu, Yuhui Ma, Jiang Liu, Jiong Zhang, Yitian Zhao
Summary: Optical Coherence Tomography (OCT) is a non-invasive technique used to image the human retina and choroid. Researchers propose a Context Efficient Adaptive network (CEA-Net) to address challenges in choroid segmentation, including histogram inseparability and inconsistency of texture and intensity. The method incorporates an Efficient Channel Attention module, an Adaptive Morphological Refinement block, and a Choroidal Convex Boundary regularization loss. Evaluation on two OCT datasets demonstrates the effectiveness of the proposed method, and a dedicated dataset (OCHID) is created to assist research in this field.
APPLIED INTELLIGENCE
(2023)
Article
Computer Science, Artificial Intelligence
Xiaoqing Zhang, Zunjie Xiao, Xiao Wu, Yu Chen, Risa Higashita, Wan Chen, Jin Yuan, Jiang Liu
Summary: Nuclear cataract is a leading cause of blindness and vision impairment globally. Anterior segment coherence tomography imaging provides an objective and quantitative assessment of nuclear cataract opacity. In this study, a classification framework based on feature extraction and feature importance analysis is proposed for nuclear cataract on AS-OCT images. The method achieves high accuracy and sensitivity, showing an improvement of over 2% compared to traditional methods.
COMPLEX & INTELLIGENT SYSTEMS
(2023)
Article
Engineering, Biomedical
Jiansheng Fang, Ming Zeng, Xiaoqing Zhang, Hongbo Liu, Yitian Zhao, Peng Zhang, Hong Yang, Junling Liu, Hanpei Miao, Yan Hu, Jiang Liu
Summary: Fundus image retrieval is crucial for ophthalmologists to make evidence-based medical decisions by providing similar cases. In this paper, a novel deep metric learning framework equipped with mirror attention and fine triplet loss is proposed to enhance discriminative features of small and scattering lesions in fundus images and encode them into image descriptors, resulting in improved retrieval performance.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2023)
Article
Computer Science, Interdisciplinary Applications
Huihui Fang, Pengshuai Yin, Huanxin Chen, Yupeng Fang, Wan Chen, Jin Yuan, Higashita Risa, Jiang Liu, Yanwu Xu
Summary: In this study, a deep learning framework incorporating shape priors was proposed for accurate nucleus and cortex segmentation from AS-OCT images. By learning a zero-level set function to represent the target boundary, and designing a novel shape-based loss function with embedded convex shape prior knowledge, performance was improved. The effectiveness of the proposed method and the novel shape-based loss were validated on a training dataset.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2023)
Article
Environmental Sciences
Xinru Li, Min Zhou, Feng Shi, Bo Meng, Jiang Liu, Yidong Mi, Cuimin Dong, Hailei Su, Xuesong Liu, Fanfan Wang, Yuan Wei
Summary: The microorganisms existing between soil and rice systems in heavy metal-contaminated soil environments have significant impacts on heavy metal pollution in rice and rice growth. This study investigated the effects of soil microorganisms on mercury (Hg) uptake by rice plants and identified potential phytoremediation agents. The results showed that the inoculation of arbuscular mycorrhizal fungi (AMF) significantly reduced the Hg concentration in rice, and AMF tended to cause Hg to accumulate in non-edible parts of the rice. AMF also inhibited Hg absorption by rice plants and improved growth indices and antioxidant enzyme activities. These findings suggest the potential use of co-existing microorganisms for soil heavy metal remediation and provide insights into reducing human Hg exposure through rice consumption.
ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Yuhui Ma, Qifeng Yan, Yonghuai Liu, Jiang Liu, Jiong Zhang, Yitian Zhao
Summary: In this paper, a novel encoder-decoder architecture called Swin Transformer-based residual u-shape Network (StruNet) is proposed for medical image denoising. The architecture effectively learns hierarchical representations of noise artifacts and compensates for the loss of detailed information. Experimental results demonstrate promising performance in suppressing multiform noise artifacts in different imaging modalities.
Article
Cardiac & Cardiovascular Systems
Anouk de Reeder, Pim Hendriks, Helena van der Plas, Dirk Zweers, Philine S. M. van Overbeeke, Joost Gravendeel, Johan W. H. Kruimer, Rutger W. W. van der Meer, Mark C. C. Burgmans
Summary: This study aims to explore the current state of sustainability within interventional radiology (IR) in the Netherlands. The results revealed a high awareness but limited action towards sustainability. This is due to sustainability not being a priority, employee dependency, and factors that cannot be changed by individual departments or hospitals.
Article
Engineering, Biomedical
Hongyang Jiang, Yilin Hou, Hanpei Miao, Haili Ye, Mengdi Gao, Xiaoling Li, Richu Jin, Jiang Liu
Summary: Deep neural networks (DNNs) have shown impressive performance in diabetic retinopathy (DR) computer-aided diagnosis (CAD) systems. However, limited labeled data may decrease the accuracy and interpretability of DNNs. In this paper, we propose to utilize ophthalmologists' eye tracking information to improve the classification accuracy and interpretability of an early DR detection model.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2023)
Article
Computer Science, Artificial Intelligence
Dan Zeng, Zelin Li, Xiao Yan, Wen Jiang, Xinshao Wang, Jiang Liu, Bo Tang
Summary: In this study, the cascaded super-resolution network (CSRNet) is proposed to address the challenge of reconstructing high-resolution faces from low-resolution inputs. CSRNet utilizes a cascaded structure and incorporates shape and identity priors to improve the authenticity of the generated super-resolution faces. The proposed method outperforms existing state-of-the-art methods in terms of quantitative and qualitative evaluations.
IET IMAGE PROCESSING
(2023)
Article
Surgery
Thijs Urlings, Apoorva Gogna, Mark C. Burgmans, Kiang Hiong Tay, Chow Wei Too, Ankur Patel, Shaun Ju Min X. Chan, Leong Sum, Nanda Venkatanarasimah, Bien Soo Tan, Sivanathan Chandramohan, Cornelio Gutierrez, Farah Irani
Summary: This study aims to evaluate the feasibility of intra-arterial CT foot perfusion using a hybrid CT angiosystem during endovascular treatment for critical limb ischemia. The results show that this technique is feasible and can be used to assess the results of the treatment.
JOURNAL OF ENDOVASCULAR THERAPY
(2023)
Article
Computer Science, Artificial Intelligence
Xiaoqing Zhang, Xiao Wu, Zunjie Xiao, Lingxi Hu, Zhongxi Qiu, Qingyang Sun, Risa Higashita, Jiang Liu
Summary: Eye health is a global concern and researchers have proposed many advanced convolutional neural networks to aid in the diagnosis of ocular diseases. However, most of these methods focus on constructing complex networks, neglecting the trade-off between performance and model complexity. To address this, this paper introduces a lightweight yet efficient network architecture, MDNet, which utilizes a novel mixed-decomposed depthwise convolution method. Experimental results demonstrate that MDNet achieves a better trade-off between performance and model complexity compared to existing efficient CNNs.
CAAI TRANSACTIONS ON INTELLIGENCE TECHNOLOGY
(2023)
Article
Engineering, Biomedical
Yiming Wang, Yan Hu, Junyong Shen, Xiaoqing Zhang, Heng Li, Zhongxi Qiu, Fangfu Ye, Jiang Liu
Summary: This paper proposes a context-guided bidirectional attention network (CGBANet) for automatic surgical instrument segmentation. The network filters out irrelevant low-level features adaptively using the guidance connection attention (GCA) module and captures both local and local-global dependency using the bidirectional attention (BA) module to provide accurate instrument features. Experimental results on two publicly available datasets demonstrate the superiority of CGBA-Net over state-of-the-art methods for instrument segmentation.
INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY
(2023)
Review
Oncology
Gonnie C. M. van Erp, Pim Hendriks, Alexander Broersen, Coosje A. M. Verhagen, Faeze Gholamiankhah, Jouke Dijkstra, Mark C. Burgmans
Summary: This systematic review aims to evaluate and summarize the accuracy of existing computational models for thermal liver ablation planning and compare their differences. The literature shows a wide range of computational models and validation methods. Further research is needed to determine the most accurate and suitable model for clinical practice.
Article
Oncology
Thais M. L. Tong, Esther Bastiaannet, Frank M. Speetjens, Christian U. Blank, Gregorius P. M. Luyten, Martine J. Jager, Marina Marinkovic, T. H. Khanh Vu, Coen R. N. Rasch, Carien L. Creutzberg, Jan-Willem M. Beenakker, Henk H. Hartgrink, Jacobus J. J. Bosch, Emine Kilic, Nicole C. Naus, Serdar Yavuzyigitoglu, Caroline M. van Rij, Mark C. Burgmans, Ellen H. W. Kapiteijn
Summary: This study on patients with primary uveal melanoma found a shift towards the diagnosis of smaller tumors and an increase in eye-preserving treatments over time. Overall survival and cancer-specific survival were moderately improved in the second time period, but the time period was not associated with survival in multivariate analyses.