SLAS Technology最新文献

{"title":"Application of high-resolution magnetic resonance imaging (MRI) in the evaluation of acupuncture effects in traditional Chinese medicine","authors":"Yujiao Zhang ,&nbsp;Zijiao Yang ,&nbsp;Shuhua Huang ,&nbsp;Sujiao Sun ,&nbsp;Zhuxian Liang","doi":"10.1016/j.slast.2025.100349","DOIUrl":"10.1016/j.slast.2025.100349","url":null,"abstract":"<div><div>In the evaluation of acupuncture effects in traditional Chinese medicine (TCM), the unclear interpretation of microscopic mechanisms and the difficulty in verifying acupoint specificity due to insufficient resolution of MRI (Magnetic Resonance Imaging) are the main reasons for the difficulty. This paper adopts 7T ultra-high field MRI combined with dynamic ASL (arterial spin labeling) technology, taking advantage of its high spatial resolution and quantitative blood perfusion imaging, to achieve dynamic visualization of microcirculation at acupuncture points in patients with ulcerative colitis. Ulcerative colitis is an ideal site to verify the feasibility of this method because its lesion site is clear and easy to correspond with the body surface acupoint. This paper establishes a high-resolution imaging protocol based on 7T magnetic resonance imaging, adopts 0.5mm spatial resolution, and optimizes scanning parameters to adapt to the microstructural imaging requirements of the acupoint area. This paper introduces pCASL (pseudo-continuous arterial spin labeling) technology, sets the labeling duration and perfusion delay time, captures the changes in perfusion volume before and after acupuncture over time, and obtains a dynamic perfusion sequence. This paper adopts umbilical moxibustion therapy, selects specific meridian acupoints, sets a standard acupuncture stimulation scheme (needle insertion depth, frequency, and needle retention time), and simultaneously performs MRI scanning to achieve real-time acupuncture imaging acquisition. The acquired multi-time point images can be rigidly registered and mapped with standard templates, the blood flow intensity change curve of the acupuncture-related area can be extracted, and the time-perfusion function can be constructed to analyze the local response pattern. The experimental results show that the ΔCBF (Delta Cerebral Blood Flow) of 7T-ASL at Shenque, Tianshu and Zhongwan are 0.15, 0.12 and 0.18 respectively, and it has high sensitivity in capturing tiny blood flow changes under sub-millimeter resolution. The SNR (Signal-to-Noise Ratio) at Shenque, Tianshu and Zhongwan are 22, 25 and 24 respectively, and the CNR (Contrast-to-Noise Ratio) is 6.2, 6.5 and 6.7 respectively, which has significant advantages in the spatial identification of sensitive areas of neural regulation and the identification of perfusion response. The average rising rate, peak time and recovery time in all acupoints were 2.44%/s, 7.2s and 11.5s respectively, and the acupuncture effect took effect faster in local areas.</div></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"35 ","pages":"Article 100349"},"PeriodicalIF":3.7,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145114945","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Nanomedicine for prostate cancer: Modern therapies based on green synthesis of nanoparticles","authors":"Mohammad Aatif ,&nbsp;Mohamed S. AboHoussien ,&nbsp;Ahmed T. Elhendawy ,&nbsp;Ghazala Muteeb ,&nbsp;Eduardo L. Fabella ,&nbsp;Doaa S.R. Khafaga","doi":"10.1016/j.slast.2025.100362","DOIUrl":"10.1016/j.slast.2025.100362","url":null,"abstract":"<div><div>Prostate cancer remains one of the leading causes of cancer-related illness and death in men globally. Despite advancements in diagnostics and traditional therapies, significant challenges such as drug resistance, systemic toxicity, and restricted specificity persist in impeding successful management. In recent years, nanotechnology has emerged as a revolutionary method in cancer treatment, offering targeted drug delivery, enhanced bioavailability, and reduced off-target side effects. Eco-friendly or green-synthesized nanomaterials have gained significant attention due to their biocompatibility, sustainability, and reduced environmental impact. This review delineates the present state of prostate cancer treatment and the constraints of traditional pharmacological approaches. We subsequently investigate the burgeoning role of nanomedicine in addressing these difficulties, focusing specifically on eco-friendly nanomaterials synthesized from plant extracts, microbial systems, and natural polymers. These biosynthesized nanoparticles (NPs) provide dual benefits: medicinal effectiveness and diminished environmental impact, consistent with the tenets of green chemistry and sustainable medicine. Additionally, we examine diverse drug delivery systems employing green NPs for prostate cancer, including liposomes, polymeric NPs, and metal-based systems synthesized through environmentally friendly methods. Recent in vitro and in vivo research is rigorously examined to assess the clinical potential of these methodologies. The review identifies significant translational hurdles, such as large-scale repeatability, regulatory constraints, and stability concerns, while proposing potential future approaches to enhance the therapeutic application of eco-friendly nanomedicine in prostate cancer treatment.</div></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"35 ","pages":"Article 100362"},"PeriodicalIF":3.7,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145477298","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cognitive evaluation model and high-resolution medical images in sports injury rehabilitation under bone density changes","authors":"Wenping Li ,&nbsp;Zhiming Gu","doi":"10.1016/j.slast.2025.100350","DOIUrl":"10.1016/j.slast.2025.100350","url":null,"abstract":"<div><div>In the study of bone density changes and sports injury rehabilitation, traditional image processing technology lacks accuracy in analysis, rehabilitation assessment methods lack quantitative and systematic analysis, and interdisciplinary comprehensive evaluation is lacking. This paper constructs an innovative cognitive assessment model that combines bone density changes, sports injury rehabilitation, and high-resolution medical image analysis. It uses high-resolution CT (Computed Tomography) images and X-ray images to extract bone density data. It uses image processing technology to remove noise, enhance, and standardize, providing accurate bone density values for subsequent input. GCN (Graph Convolutional Network) can be used to automatically identify and classify images of sports injury sites, extract features of the injured area, record and analyze the patient's physical activities during the rehabilitation stage, and evaluate the recovery process of sports injuries in real time. Combining bone density data with sports injury imaging features, XGBoost (Extreme Gradient Boosting) is used to build a cognitive evaluation model, which conducts a comprehensive analysis of multi-dimensional data and provides personalized rehabilitation evaluation. It can integrate technologies from fields such as medicine, engineering, and computer science to establish an interdisciplinary comprehensive evaluation system, achieve multi-angle and multi-dimensional analysis, and ensure the comprehensiveness and accuracy of the model. The experimental results show that the MAE (Mean Absolute Error) of the GCN in this paper is 0.131 in 10 different injury sites, and the average MSE (Mean Squared Error) is about 0.032, which has higher image analysis accuracy. The average accuracy and R² of XGBoost in six different samples are about 0.87 and 0.91, respectively, and the prediction effect of the cognitive evaluation model is apparent.</div></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"35 ","pages":"Article 100350"},"PeriodicalIF":3.7,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145114994","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Digital transformation of a real-life R&D process using a structured approach based on the Internet of Things","authors":"Mickey Hawelitschek ,&nbsp;Felix Lenk ,&nbsp;Florian-David Lange ,&nbsp;Peter Schmidt ,&nbsp;Constantin Rahm ,&nbsp;Thomas Walther","doi":"10.1016/j.slast.2025.100359","DOIUrl":"10.1016/j.slast.2025.100359","url":null,"abstract":"<div><div>In an era of increasingly stringent regulatory requirements and growing demands on laboratories in terms of data quality, integrity and reproducibility, combined with increasing sample throughput, digitization of the laboratory environment is an important tool to meet these growing demands. Unfortunately, many challenges stand in the way. Not only are these barriers difficult to overcome, but they also cut across the different professions that are essential to any digitization effort. For most laboratories, however, the simple question remains: How to transform an existing laboratory? This article proposes a structured method to realize the SmartLab and to verify its feasibility in practice, using a real R&amp;D process. Consequently, on a qualitative level, not only has data integrity and sample traceability been enhanced, but standardization has also been increased. Quantitatively, the walk-away time was tripled and the efficiency of individual process steps was increased by over 20%. The project’s success can be attributed to the implementation of a systematic methodology for digital transformation, which functioned as a comprehensive guide, facilitating the execution of the project in a step-by-step manner.</div></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"35 ","pages":"Article 100359"},"PeriodicalIF":3.7,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145427173","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"High-throughput cytokine detection platform for evaluation of chemical induced microglial activation","authors":"Shu Yang ,&nbsp;Kelly E. Carstens ,&nbsp;Ibukunoluwa Ipaye ,&nbsp;Xing Chen ,&nbsp;Helena T. Hogberg ,&nbsp;Nicole Kleinstreuer ,&nbsp;Thomas B. Knudsen ,&nbsp;Menghang Xia","doi":"10.1016/j.slast.2025.100347","DOIUrl":"10.1016/j.slast.2025.100347","url":null,"abstract":"<div><div>Environmental chemical exposure, such as pesticides and heavy metals, may contribute to neurodegenerative disorders through neuroinflammation. This study aims to identify suitable <em>in vitro</em> microglial models for assessing cytokine responses to potential neurotoxicants, particularly focusing on human induced pluripotent stem cell-derived microglia (hiMG). In this study, we evaluated the cytokine secretion profiles of four microglial cell types—hiMG, HMC3, IM-HM, and BV2—upon stimulation with lipopolysaccharides (LPS) using cytokine arrays. Our findings showed cytokine response patterns in hiMG cells that most closely resemble <em>in vivo</em> conditions, with significant increases in interleukin 6 (IL-6) and tumor necrosis factor-alpha (TNF-α) levels, the latter being uniquely expressed after LPS treatment. Consequently, we developed a homogeneous time-resolved fluorescence (HTRF) assay platform in a 1536-well plate format for high-throughput screening of environmental chemicals using hiMG cells. After LPS treatment, the assay window for secretion of IL-6 and TNF-α increased 3.71-fold and 2.62-fold over the vehicle control group, respectively, with respective EC₅₀ values of approximately 50 ng/mL and 90 ng/mL for IL-6 and TNF-α. We also assessed the response activity of hiMG to other stimuli, including interferon gamma and various catecholamine compounds, and nine environmental chemicals with evidence of cytokine-inducing potential in other <em>in vitro</em> assays. While all nine tested agents stimulated IL-6 and TNF-α production, three compounds (<em>e.g.</em>, picoxystrobin) showed significant stimulation of both cytokines. ​This study establishes a reliable high-throughput platform for detecting inflammatory effects of environmental toxicants in a microglial cell assay, contributing valuable insights into their neuroinflammatory potential and possible implications for neurodegenerative disorders.</div></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"35 ","pages":"Article 100347"},"PeriodicalIF":3.7,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145056195","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluation of ovarian microvascular structure in PCOS patients based on high-resolution ultrasound imaging technology","authors":"Xianyi Chen ,&nbsp;Guoxu Lv ,&nbsp;Jian Lv ,&nbsp;Ruoyu Wang ,&nbsp;Jinyi Zhu ,&nbsp;Hongying Kuang","doi":"10.1016/j.slast.2025.100356","DOIUrl":"10.1016/j.slast.2025.100356","url":null,"abstract":"<div><div>Polycystic Ovary Syndrome (PCOS) patients often have ovarian microcirculatory disorders. Traditional color Doppler imaging of microvascular is not sensitive enough and is prone to missed detection or artifact interference. This study is based on a high-frequency probe combined with SMI (Superb Microvascular Imaging) and ultrasound contrast imaging to achieve high signal-to-noise ratio acquisition and dynamic quantification of low-speed blood flow in microvascular, filling the gap in existing technology. This study sets low-pass filtering and low PRF (Pulse Repetition Frequency) to enhance the detection of low-speed flow signals in microvascular. SMI and CEUS (Contrast-Enhanced Ultrasound) sequences are collected in sequence, and the time points are calibrated synchronously on the same section to achieve multimodal image fusion. The ovarian area is semi-automatically segmented based on the U-Net model, and the ROI (Region of Interest) containing the vascular structure is extracted. The vascular density, average diameter, and number of branches are calculated using self-developed image analysis software, and the feature vector is derived. The CEUS time-intensity curve is fitted with a double exponential, and dynamic perfusion parameters such as peak time and perfusion half-life are extracted for microcirculation evaluation and hemodynamic analysis. The experiment shows that in the 10 ovarian ROIs analyzed, the vascular density ranges from 5.43 % to 8.45 %; the average diameter is 5.88 to 6.52 pixels; the branch number consistency difference rate is less than 3 %. The perfusion half-life is distributed between 21.8 and 25.1 s, and the peak time of the PCOS group is delayed by 0.5 s compared with the normal group, indicating that there are significant differences in their microvascular structure and perfusion function.</div></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"35 ","pages":"Article 100356"},"PeriodicalIF":3.7,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145214448","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development and validation of a multimodal machine learning model integrating ultrasound imaging and serum biomarkers for vulnerable carotid plaque prediction","authors":"Ping Wei ,&nbsp;Yuanyuan Yang ,&nbsp;Yanhong Yan ,&nbsp;Chunhong Wei ,&nbsp;Pinjing Hui","doi":"10.1016/j.slast.2025.100361","DOIUrl":"10.1016/j.slast.2025.100361","url":null,"abstract":"<div><h3>Objective</h3><div>To establish and validate the radiomics model of carotid vulnerable plaque.</div></div><div><h3>Methods</h3><div>182 patients who underwent carotid endarterectomy in the First Affiliated Hospital of Soochow University from January 2019 to June 2022 were retrospectively analyzed. Plaque ultrasound images were acquired and segmented, and features were extracted using the R package “EBImage”. Six machine learning algorithms were used to construct a plaque vulnerability classifier model. The relationship between clinical biomarkers and outcomes was evaluated using linear regression and the False Discovery Rate (FDR) correction method.</div></div><div><h3>Results</h3><div>Diabetes, neutrophils, monocytes, high-sensitivity C-reactive protein, high-density lipoprotein, and stenosis rate were found to have a strong association with plaque vulnerability. The Naive Bayes algorithm performed well in the training set using image features alone, with an AUC of 0.840, and an AUC of 0.762 in the test set. The Decision Tree algorithm had certain performance in the training set using image features alone, with an AUC of 0.609, and an AUC of 0.626 in the test set. The Naive Bayes algorithm achieved excellent performance in the training set using both plaque ultrasound imaging features and clinical laboratory indicators, with an AUC of 0.922, and an AUC of 0.928 in the test set.</div></div><div><h3>Conclusion</h3><div>The above radiomics model can be used to predict the vulnerable carotid plaque before surgery. By combining plaque ultrasound imaging with clinical blood biomarkers, a more comprehensive and accurate assessment of plaque vulnerability can be achieved, thereby reducing the risk of cardiovascular events.</div></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"35 ","pages":"Article 100361"},"PeriodicalIF":3.7,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145423446","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A machine learning-driven robotic system for autonomous nucleic acid extraction and library preparation","authors":"Jun Lu ,&nbsp;Zhizhong Zhang ,&nbsp;Sheng Zhang ,&nbsp;Qingqing Ye ,&nbsp;Yuanhua Wang ,&nbsp;Jianqiang Chen ,&nbsp;Guodong Sun ,&nbsp;Zihui Huang ,&nbsp;Youcong Hou ,&nbsp;Zhiyong Sun ,&nbsp;Jianhua Dong ,&nbsp;Jisheng Qin ,&nbsp;Xueping Chen ,&nbsp;Shiwen Mai ,&nbsp;Minghui Gao ,&nbsp;Fengxiang Zhang ,&nbsp;Xiaohui Wen ,&nbsp;Wenshen Gu ,&nbsp;Ruiguo Yu ,&nbsp;Guanglei Zhao ,&nbsp;Xiao Zhang","doi":"10.1016/j.slast.2025.100370","DOIUrl":"10.1016/j.slast.2025.100370","url":null,"abstract":"<div><div>Nucleic acids, the fundamental building blocks of life, serve as versatile tools in genetic information retrieval, disease diagnosis, and biotechnological applications. The automated Intelligent Robotic System for Nucleic Acid Extraction and Library Preparation (iRoNAEaLP) tool represents a significant advancement in nucleic acid extraction and library preparation in an automated manner, addressing complexity and diversity while minimizing human involvement. Utilising machine learning algorithms and a Long Short-Term Memory (LSTM) architecture, iRoNAEaLP autonomously generates process flowcharts, predetermined reagents and consumable quantities, and aligns process steps with specific module actions via strategy-guided segmented program file arrangements. As a result, the biological outcome from this system has demonstrated high efficiency and large-scale data quality in various types of samples in terms of trace nucleic acid extraction, plasmid/genetic construct extraction, and single-cell and spatial omics, which require mRNA library preparation for smart-seq2 sequencing. This innovation paves the way for more efficient and accessible bioprocesses in various life science applications.</div></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"35 ","pages":"Article 100370"},"PeriodicalIF":3.7,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145582765","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Staining Triad: A fully automated and zero-waste flow cytometry staining system fostering the 3R to 4R transition","authors":"Santosh Dhule ,&nbsp;Eric Corriveau ,&nbsp;Christopher Lepsy ,&nbsp;Sophie Tourdot","doi":"10.1016/j.slast.2025.100345","DOIUrl":"10.1016/j.slast.2025.100345","url":null,"abstract":"<div><div>Despite significant advances in instrumentation and robotics, the automation of cell staining in flow cytometry remains largely unaddressed. While sample acquisition in flow cytometry has been fully automated, sample staining continues to be a predominantly manual process—requiring substantial time, labor, and cost. Additionally, the repetitive nature of manual staining introduces monotony and increases the likelihood of human error. The Staining Triad presented here achieves full automation of the staining process, requiring only the input of samples and reagents, with no manual intervention. Staining performed using the Staining Triad showed a comparable biomarker profile to that of conventional manual staining. The modular and adaptable system design enables the flexibility to tailor throughput and accommodate assay-specific requirements, thereby extending its applicability to plate-based ligand binding assays. Moreover, the system eliminates the need for pipette tips, exemplifying a sophisticated and sustainable solution that enhances laboratory efficiency while reducing human error and the primary source of plastic waste in flow cytometry staining. Although 3R initiatives (Reduce, Reuse, Recycle) have helped decrease laboratory plastic waste volumes, substantial amounts are still incinerated or end up in landfills, where they persist in the environment for decades. This limitation underscores the need to incorporate a fourth R—\"Remove/Replace\"—into sustainability strategies. As flow cytometry becomes increasingly integral across various biotechnology disciplines, it is imperative to streamline associated workflows to accelerate drug discovery while preserving the environment that sustains life.</div></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"35 ","pages":"Article 100345"},"PeriodicalIF":3.7,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144978504","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Application of 3D printing imaging technology in the treatment of bronchopleural fistula with individual customized bronchial occluder","authors":"Zelin Xiao ,&nbsp;Jianqi Gao ,&nbsp;Hui Zhang ,&nbsp;Linyao Wang","doi":"10.1016/j.slast.2025.100344","DOIUrl":"10.1016/j.slast.2025.100344","url":null,"abstract":"<div><h3>Background</h3><div>Bronchopleural fistula (BPF) is a common and severe complication in thoracic surgery, characterized by its complex nature and high mortality rate. Bronchial occluder is one of the effective methods for the interventional treatment of BPF under bronchoscopy.</div></div><div><h3>Objective</h3><div>This work was to evaluate the adoption and efficacy of individualized bronchial occluder designed with the assistance of 3D printing technology in the treatment of BPF.</div></div><div><h3>Material and Methods</h3><div>This single-center, retrospective study included 60 patients (35 males and 25 females, aged 40–78 years, without severe dysfunction of major organs or history of mental disorders) diagnosed with BPF between January 2020 and December 2023, who received different treatment and were divided into the Control Group (CG, receiving thoracotomy treatment), Therapy group-I (TG-I, receiving septal occluder treatment), and Therapy group-II (TG-II, receiving treatment with 3D-printed individualized bronchial occluder). Serum levels of high-sensitivity C-reactive protein (hs-CRP) and procalcitonin (PCT) were measured by enzyme-linked immunosorbent assay preoperatively and at 1, 4, and 12 weeks postoperatively. Daytime cough scores were assessed according to guidelines, pain scores were evaluated using a visual analog scale, clinical efficacy was determined based on consensus criteria, and complications were recorded. Quantitative variables were compared using one-way ANOVA with Bonferroni correction, while categorical variables were analyzed by chi-square or Fisher’s exact test.</div></div><div><h3>Results</h3><div>the overall clinical efficacy was higher in TG-I and TG-II versus CG, with TG-II showing a greatly higher efficacy after twelve weeks of treatment (<em>P</em> &lt; 0.05). Relative to CG, both TG-I and TG-II demonstrated lower serum levels of hs-CRP and PCT, markedly reduced cough and pain symptom scores, and markedly lower complication rates (<em>P</em> &lt; 0.05). Additionally, TG-II resulted in notably lower serum inflammatory markers, cough and pain symptom scores, and complication rates versus TG-I (<em>P</em> &lt; 0.05).</div></div><div><h3>Conclusion</h3><div>The 3D-printed personalized occluder (TG-II) significantly reduced postoperative inflammatory responses and alleviated cough-associated pain, demonstrating superior short-term efficacy and safety compared to conventional treatment (CG) and commercially available occluders (TG-I). This approach offers distinct advantages for the personalized precision treatment of BPF. However, further clinical studies are required to validate its potential as an alternative to surgical repair.</div></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"35 ","pages":"Article 100344"},"PeriodicalIF":3.7,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144978420","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}