BMC Medical Imaging最新文献

{"title":"Meta-analysis of arterial spin labeling MRI to identify residual cerebral arteriovenous malformations after treatment.","authors":"Shurun Wan, Xiuyan Yang, Yudi Zhuo, Fei Chen, Peiyue He, Weibo Luo, Yi Shi, Lingqun Zhu","doi":"10.1186/s12880-025-01668-3","DOIUrl":"https://doi.org/10.1186/s12880-025-01668-3","url":null,"abstract":"<p><strong>Background: </strong>To use of statistical methods to assess the diagnostic value of arterial spin labeling (ASL) imaging for follow-up of treated arteriovenous malformations.</p><p><strong>Methods: </strong>We screened references from four databases, namely, the Cochrane Library, PubMed, Web of Science and Embase, that met the requirements. The methodology quality of the included studies was evaluated using the QUADAS-2 (Quality Assessment of Diagnostic Accuracy Studies-2) tool. Data pertaining to diagnostic performance were extracted, and the pooled sensitivity and specificity were calculated using a bivariate mixed-effects model.</p><p><strong>Results: </strong>We included six studies with a total of 132 patients with arteriovenous malformation (AVM). The merged sensitivity and specificity of ASL for the diagnosis of brain AVMs with incomplete occlusion after treatment were 0.94[0.86-0.98] and 0.99 [0.59-1.00], respectively. According to the SROC curve summary, the AUC was found to be 0.98 [0.96-0.99]. No significant publication bias was observed.</p><p><strong>Conclusion: </strong>While ASL does not currently match the diagnostic precision of DSA, it is instrumental in post-treatment surveillance of AVM patients. With the development of ASL technology in the future, this technique holds promise as a minimally invasive diagnostic strategy for AVMs with fewer side effects.</p><p><strong>Registration number of prospero: </strong>CRD42023422087.</p><p><strong>Clinical trial number: </strong>Not applicable.</p>","PeriodicalId":9020,"journal":{"name":"BMC Medical Imaging","volume":"25 1","pages":"127"},"PeriodicalIF":2.9,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12007328/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143965604","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Radiomics analysis of dual-layer detector spectral CT-derived iodine maps for predicting Ki-67 PI in pancreatic ductal adenocarcinoma.","authors":"Dan Zeng, Zuhua Song, Qian Liu, Jie Huang, Xinwei Wang, Zhuoyue Tang","doi":"10.1186/s12880-025-01664-7","DOIUrl":"https://doi.org/10.1186/s12880-025-01664-7","url":null,"abstract":"<p><strong>Objective: </strong>To evaluate the feasibility of radiomics analysis using dual-layer detector spectral CT (DLCT)-derived iodine maps for the preoperative prediction of the Ki-67 proliferation index (PI) in pancreatic ductal adenocarcinoma (PDAC).</p><p><strong>Materials and methods: </strong>A total of 168 PDAC patients who underwent DLCT examination were included and randomly allocated to the training (n = 118) and validation (n = 50) sets. A clinical model was constructed using independent clinicoradiological features identified through multivariate logistic regression analysis in the training set. The radiomics signature was generated based on the coefficients of selected features from iodine maps in the arterial and portal venous phases of DLCT. Finally, a radiomics-clinical model was developed by integrating the radiomics signature and significant clinicoradiological features. The predictive performance of three models was evaluated using the Receiver Operating Characteristic (ROC) curve and Decision Curve Analysis. The optimal model was then used to develop a nomogram, with goodness-of-fit evaluated through the calibration curve.</p><p><strong>Results: </strong>The radiomics-clinical model integrating radiomics signature, CA19-9, and CT-reported regional lymph node status demonstrated excellent performance in predicting Ki-67 PI in PDAC, which showed an area under the ROC curve of 0.979 and 0.956 in the training and validation sets, respectively. The radiomics-clinical nomogram demonstrated the improved net benefit and exhibited satisfactory consistency.</p><p><strong>Conclusions: </strong>This exploratory study demonstrated the feasibility of using DLCT-derived iodine map-based radiomics to predict Ki-67 PI preoperatively in PDAC patients. While preliminary, our findings highlight the potential of functional imaging combined with radiomics for personalized treatment planning.</p>","PeriodicalId":9020,"journal":{"name":"BMC Medical Imaging","volume":"25 1","pages":"124"},"PeriodicalIF":2.9,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12007212/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143974813","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development of optimised protocols for paediatric whole-body computed tomography examinations: a figure-of-merit approach.","authors":"Jacob Leonard Ago, Stephen Inkoom, Benard Ohene-Botwe, Alise Larsen, Ingerd Skaaret Berg","doi":"10.1186/s12880-025-01675-4","DOIUrl":"https://doi.org/10.1186/s12880-025-01675-4","url":null,"abstract":"<p><strong>Background: </strong>Whole-body computed tomography (WBCT) technique involves higher radiation doses, resulting in increased stochastic health risks, especially when used for paediatric patients. Hence, protocol optimisation is recommended to maximise its benefit-risk ratio, with several available strategies to achieve it. This study used the figure-of-merit (FOM) approach to develop optimised protocols for paediatric WBCT examinations. The rationale is to enhance diagnostic accuracy while minimising radiation exposure, ultimately improving patient safety and outcomes for paediatric patients undergoing WBCT.</p><p><strong>Methods: </strong>Newborn and child (5-year-old) anthropomorphic phantoms were scanned with different scan protocols and evaluated for dose and image quality using the CT-Expo and ImageJ programs, respectively. The protocols for trunk examinations were divided into arterialphase-only and combined arterial and venous phase to develop appropriate protocols based on patients' initial focused assessment with sonography for trauma (FAST) results. The protocols with the highest FOMs were selected as the best optimised protocols.</p><p><strong>Results: </strong>The estimated WBCT ED (WB_ED) for the optimised protocols ranged from 2.6 mSv to 5.8 mSv with estimated FOM of 3.83 to 59.35. The mean effective doses (EDs) for newborn and child arterial phase-only protocols were not significantly lower than the combined arterial and venous phase protocols (p = 0.069, 0.082 respectively), while the mean signal-to-noise ratio of the combined phase protocols for newborn and child phantoms were insignificantly higher than the single-phase protocol (p = 0.089, 0.662 respectively).</p><p><strong>Conclusion: </strong>The estimated ED_WB from this study were lower than established values. The selected protocols are recommended for newborns and children (1-7 years) using the GE Revolution CT and Siemens SOMATOM Definition Edge CT scanners.</p>","PeriodicalId":9020,"journal":{"name":"BMC Medical Imaging","volume":"25 1","pages":"125"},"PeriodicalIF":2.9,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12007346/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143972405","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessing neonatal brain glymphatic system development using diffusion tensor imaging along the perivascular space and choroid plexus volume.","authors":"Ting Peng, Ying Lin, Xin Xu, Jiaqi Li, Miaoshuang Liu, Chaowei Zhang, Xiaohui Liao, Xiaoshan Ji, Zhongmeng Xiong, Zhuoyang Gu, Xinyi Cai, Tianli Tao, Yajuan Zhang, Lixuan Zhu, Deyi Zhuang, Xianghui Huang, Man Xiong, Peng Zhang, Jungang Liu, Guoqiang Cheng","doi":"10.1186/s12880-025-01673-6","DOIUrl":"https://doi.org/10.1186/s12880-025-01673-6","url":null,"abstract":"<p><strong>Purpose: </strong>Neonatal brain development constitutes a critical period of structural and functional maturation underpinning sensory, motor, and cognitive capacities. The glymphatic system-a cerebral waste clearance network-remains poorly understood in neonates. We investigated non-invasive magnetic resonance imaging (MRI) biomarkers of glymphatic system and their developmental correlates in neonates.</p><p><strong>Methods: </strong>In 117 neonates undergoing high-resolution T1-weighted and diffusion MRI, we quantified two glymphatic metrics: (1) diffusion tensor imaging along the perivascular space (DTI-ALPS) index, reflecting perivascular fluid dynamics; (2) choroid plexus (CP) volume, a cerebrospinal fluid (CSF) production marker. Associations with postmenstrual age (PMA) at MRI scan, gestational age (GA), birth weight (BW), and sex were analyzed using covariate-adjusted models.</p><p><strong>Results: </strong>Preterm neonates displayed significantly reduced DTI-ALPS indices versus term neonates (total index: 1.01 vs. 1.05, P = 0.002), with reductions persisting after adjustment (P < 0.05). CP volumes showed right-dominant pre-adjustment differences (preterm: 0.33 vs. term: 0.39, P = 0.039) that attenuated post-adjustment (P = 0.348). DTI-ALPS indices demonstrated transient correlations with PMA/GA/BW in unadjusted analyses (P < 0.05), whereas CP volumes maintained robust PMA associations post-adjustment in all neonates (P = 0.037) and term subgroup (P = 0.013). No significant effects of sex on both metrics were observed.</p><p><strong>Conclusion: </strong>Our findings reveal prematurity-associated delays in glymphatic maturation, rather than biological sex. The persistent PMA-CP volume relationship suggests developmental regulation of CSF production, while attenuated DTI-ALPS correlations highlight covariate-mediated effects. These glymphatic metrics show potential for monitoring neurodevelopmental trajectories, though longitudinal validation is required to establish their clinical utility in neonatal care.</p><p><strong>Clinical trial number: </strong>Not applicable.</p>","PeriodicalId":9020,"journal":{"name":"BMC Medical Imaging","volume":"25 1","pages":"126"},"PeriodicalIF":2.9,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12007372/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143964408","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Low-dose and low-contrast computed tomography pulmonary angiography in pediatric with pulmonary embolism: a prospective study.","authors":"Kaihua Yang, Jihang Sun, Yidi Zhao, Xin Yang, Lifang Sun, Ling Wu, Yue Liu, Shengli Shi","doi":"10.1186/s12880-025-01665-6","DOIUrl":"https://doi.org/10.1186/s12880-025-01665-6","url":null,"abstract":"<p><strong>Objective: </strong>We evaluated the feasibility of reducing contrast agent and radiation dose in pediatric computed tomography pulmonary angiography (CTPA) while ensuring image quality.</p><p><strong>Materials and methods: </strong>In this prospective study, two readers assessed the computed tomography (CT) image quality (using a 5-point scale (1: undiagnosable and 5: excellent) and objective evaluation criteria (measuring CT and noise values of the left atrium and pulmonary trunk) of 116 patients who underwent pulmonary artery computed tomography angiography (CTA) from January 2023 to April 2024. independent sample t-test and Chi-square test were used to analyze and evaluate group differences.</p><p><strong>Result: </strong>Fifty-eight participants were enrolled in the study group (mean age, 6.86 years ± 2.74, 30 males) and fifty-eight participants were enrolled in the control group (mean age, 6.71 years ± 2.59, 22 males). The radiation dose was significantly decreased in the study group (study group, 3.01 ± 0.24 mGy, control group 3.77 ± 1.06 mGy, p < 0.001). Overall quality was higher in control group, but displaying ability of pulmonary artery trunk and branch was higher in study group (p < 0.001).</p><p><strong>Conclusion: </strong>This study proved that a low-dose, low-contrast CTPA strategy could reduce radiation dosage by 50% and contrast agent by 20% while maintaining a satisfying image quality.</p>","PeriodicalId":9020,"journal":{"name":"BMC Medical Imaging","volume":"25 1","pages":"123"},"PeriodicalIF":2.9,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12004619/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143978233","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ultrasound-based radiomics for predicting the five major histological subtypes of epithelial ovarian cancer.","authors":"Yang Yang, Xinyu Ji, Sen Li, Xuemeng Gao, Yitong Wang, Ying Huang","doi":"10.1186/s12880-025-01624-1","DOIUrl":"https://doi.org/10.1186/s12880-025-01624-1","url":null,"abstract":"<p><strong>Background: </strong>Computational approaches have been proposed using radiomics in order to assess tumour heterogeneity, which is motivated by the concept that biomedical images may contain underlying pathophysiology information and has the potential to quantitatively measure the heterogeneity of intra- and intertumours. Ovarian cancer has the highest mortality among malignant tumours of female reproductive system and can be further divided into many subtypes with different management strategies and prognosis. The purpose of our study is to develop and validate ultrasound-based radiomics models to distinguish the five major histological subtypes of epithelial ovarian cancer.</p><p><strong>Methods: </strong>From January 2018 to August 2022, 1209 eligible ovarian cancer patients were enrolled. There were two subjects in this study: all patients (n = 1209) and patients with the five major histological subtypes (n = 1039). After image segmentation manually, radiomics features were extracted and some clinical characteristics were added. Nine feature selection methods were used to select the optimal predictive features. Seven classifiers were carried out to construct models. Choose the combination with the best predictive performance as the final result.</p><p><strong>Results: </strong>As for low-grade serous carcinoma, endometrioid carcinoma, and clear cell carcinoma, the models yields AUCs below 0.80 in the 10-fold cross-validation in the two groups. As for mucinous carcinoma, the AUCs were 0.83(95%CI, 0.74-0.93) and 0.89(95%CI, 0.83-0.95) in the validation cohorts and 0.80(95%CI, 0.73-0.87) and 0.86(95%CI, 0.78-0.94) in the 10-fold cross-validation in the two groups, respectively. As for high-grade serous carcinoma (HGSC), the models showed AUCs of 0.87(95%CI, 0.83-0.91) and 0.85(95%CI, 0.81-0.89) in the validation cohorts and 0.87(95%CI, 0.85-0.89) and 0.84(95%CI, 0.81-0.87) in the 10-fold cross-validation in the two groups, respectively, and exhibited high consistency between the predicted results and the actual outcomes, and brought great net benefits for patients.</p><p><strong>Conclusions: </strong>The ultrasound-based radiomics models in discriminating HGSC and non-HGSC showed good predictive performance, as well as high consistency between the predicted results and the actual outcomes, and brought significant net benefits for patients.</p>","PeriodicalId":9020,"journal":{"name":"BMC Medical Imaging","volume":"25 1","pages":"122"},"PeriodicalIF":2.9,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12001453/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143969702","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"DCATNet: polyp segmentation with deformable convolution and contextual-aware attention network.","authors":"Zenan Wang, Tianshu Li, Ming Liu, Jue Jiang, Xinjuan Liu","doi":"10.1186/s12880-025-01661-w","DOIUrl":"https://doi.org/10.1186/s12880-025-01661-w","url":null,"abstract":"<p><p>Polyp segmentation is crucial in computer-aided diagnosis but remains challenging due to the complexity of medical images and anatomical variations. Current state-of-the-art methods struggle with accurate polyp segmentation due to the variability in size, shape, and texture. These factors make boundary detection challenging, often resulting in incomplete or inaccurate segmentation. To address these challenges, we propose DCATNet, a novel deep learning architecture specifically designed for polyp segmentation. DCATNet is a U-shaped network that combines ResNetV2-50 as an encoder for capturing local features and a Transformer for modeling long-range dependencies. It integrates three key components: the Geometry Attention Module (GAM), the Contextual Attention Gate (CAG), and the Multi-scale Feature Extraction (MSFE) block. We evaluated DCATNet on five public datasets. On Kvasir-SEG and CVC-ClinicDB, the model achieved mean dice scores of 0.9351 and 0.9444, respectively, outperforming previous state-of-the-art (SOTA) methods. Cross-validation further demonstrated its superior generalization capability. Ablation studies confirmed the effectiveness of each component in DCATNet. Integrating GAM, CAG, and MSFE effectively improves feature representation and fusion, leading to precise and reliable segmentation results. These findings underscore DCATNet's potential for clinical application and can be used for a wide range of medical image segmentation tasks.</p>","PeriodicalId":9020,"journal":{"name":"BMC Medical Imaging","volume":"25 1","pages":"120"},"PeriodicalIF":2.9,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11998341/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143969510","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prediction of neoadjuvant chemotherapy efficacy in breast cancer: integrating multimodal imaging and clinical features.","authors":"Xianglong Chen, Yong Luo, Zhiming Xie, Yun Wen, Fangsheng Mou, Wenbing Zeng","doi":"10.1186/s12880-025-01631-2","DOIUrl":"https://doi.org/10.1186/s12880-025-01631-2","url":null,"abstract":"<p><strong>Objectives: </strong>To assess the predictive value of combining DCE-MRI, DKI, IVIM parameters, and clinical characteristics for neoadjuvant chemotherapy (NAC) efficacy in invasive ductal carcinoma.</p><p><strong>Methods: </strong>We conducted a retrospective study of 77 patients with invasive ductal carcinoma, analyzing MRI data collected before NAC. Parameters extracted included DCE-MRI (Ktrans, Kep, Ve, wash-in, wash-out, TTP, iAUC), DKI (MK, MD), and IVIM (D, D*, f). Differences between NAC responders and non-responders were assessed using t-tests or Mann-Whitney U tests. ROC curves and Spearman correlation analyses evaluated predictive accuracy.</p><p><strong>Results: </strong>NAC responders had higher DCE-MRI-Kep, DKI-MD, IVIM-D, and IVIM-f values. Non-responders had higher DCE-MRI-Ve, DKI-MK, IVIM-D (kurtosis, skewness, entropy), and IVIM-f (entropy). The mean DKI-MK had the highest AUC (0.724), and IVIM-D interquartile range showed the highest sensitivity (94.12%). Combined parameters had the highest AUC (0.969), sensitivity (94.12%), and specificity (90.70%). HER2 status (OR, 0.187; 95% CI: 0.038, 0.914; P = 0.038) and tumor margin (OR, 20.643; 95% CI: 2.892, 147.365; P = 0.003) were identified as independent factors influencing the lack of significant efficacy of neoadjuvant chemotherapy (NAC) in breast cancer.</p><p><strong>Conclusions: </strong>Combining DCE-MRI, DKI, and IVIM parameters effectively predicts NAC efficacy, providing valuable preoperative assessment insights.</p><p><strong>Clinical trial number: </strong>Not applicable.</p>","PeriodicalId":9020,"journal":{"name":"BMC Medical Imaging","volume":"25 1","pages":"118"},"PeriodicalIF":2.9,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11998226/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143975498","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Location-specific pathology analysis of monopodial airways in a rabbit model of bronchopulmonary dysplasia: a proof of principle study.","authors":"Yannis Pfleger, Lena S C Bode, David Haberthür, Ruslan Hlushchuk, Yannick Regin, Andre G Gie, Thomas Salaets, Jaan Toelen, Christian Mühlfeld, Jonas Labode","doi":"10.1186/s12880-025-01657-6","DOIUrl":"https://doi.org/10.1186/s12880-025-01657-6","url":null,"abstract":"<p><strong>Background: </strong>The airways of the mammalian lung form a tree-like structure, starting from the trachea and branching out to the terminal bronchioles. This tree is composed of heterogeneous sub-structures or compartments, varying in morphological characteristics such as composition of airway epithelium, presence of cartilage plates, and number of smooth muscle cell layers or lumen diameter. These compartments may vary in their reaction to different pathological stimuli. Thus, when studying a particular lung disease, the compartments need to be investigated individually and not as part of a more global portmanteau compartment. In the symmetrically branching primate lungs, dividing the airway tree into generations is a common method to create morphologically homogeneous groups of airway segments. In common lab animals however, an asymmetrical branching pattern is present, where conventional branching-based grouping methods are unable to create meaningful results.</p><p><strong>Methods: </strong>Therefore, a morphological clustering approach was tested in the current proof of principle study for its suitability of dividing airways into biologically meaningful sub-compartments. On this basis, an investigation of the distribution of pulmonary airway changes in a bronchopulmonary dysplasia rabbit model was conducted.</p><p><strong>Results: </strong>The approach of clustering airway segments by morphology instead of branching pattern proved to be capable of creating meaningful airway compartments. This way, the distribution of differences that would not have been visible in a purely global comparison of morphological characteristics, could be identified between disease model and control group.</p><p><strong>Conclusions: </strong>The employed clustering model is applicable to study the contribution of airway sub-compartments in pulmonary diseases. On this basis, targeted strategies for their mitigation may be developed.</p>","PeriodicalId":9020,"journal":{"name":"BMC Medical Imaging","volume":"25 1","pages":"121"},"PeriodicalIF":2.9,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11998208/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143978203","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploration of CT-based discrimination and diagnosis of various pathological types of ground glass nodules in the lungs.","authors":"Haihui Wu, Xiong Zhang, Zheng Zhong","doi":"10.1186/s12880-025-01653-w","DOIUrl":"https://doi.org/10.1186/s12880-025-01653-w","url":null,"abstract":"<p><strong>Purpose: </strong>This study aims to examine the diagnostic usefulness of CT imaging in distinguishing between various pathological forms of lung ground-glass nodules (GGNs).</p><p><strong>Methods: </strong>We conducted a retrospective analysis on 210 patients with lung ground-glass nodules (GGNs) who received diagnosis and treatment at our hospital between January 2021 and May 2024. Every patient had comprehensive imaging and pathology investigations. Lesion size, three-dimensional ratio, two-dimensional ratio, size of solid components, form, spiculation, lobulation, and cavitation were studied across several pathological kinds of pulmonary ground-glass nodules (GGNs).</p><p><strong>Results: </strong>Of the 210 patients, 51 were diagnosed with benign conditions, while 159 had malignant lesions distributed across AIS, MIA, and IAC. The imaging data revealed that pulmonary ground-glass nodules (GGNs) exhibiting spiculation, lobulation, cavitation, pleural indentation, irregular shape, and fuzzy borders were considerably more prevalent in the inflammatory group, atypical adenomatous hyperplasia (AAH) group, adenocarcinoma in situ (AIS) group, minimally invasive adenocarcinoma (MIA) group, and invasive adenocarcinoma (IAC) group. These differences were statistically significant (P < 0.05). Significant variations in lesion size and size of solid components were observed among the groups, with the inflammatory group having the smallest size, followed by the AAH group, AIS group, MIA group, and finally the IAC group (P < 0.05). Nevertheless, there were no statistically significant disparities in the three-dimensional ratio and two-dimensional ratio across the five groups (P > 0.05). The calculated areas under the curve for distinguishing pre-invasive lesions from MIA and MIA from IAC, depending on the size of solid components, were 0.705 and 0.814, respectively. These values indicate a high diagnostic accuracy.</p><p><strong>Conclusion: </strong>A thorough examination of the CT imaging characteristics of ground-glass nodules is crucial for accurately distinguishing between various pathological forms of pulmonary GGNs.</p>","PeriodicalId":9020,"journal":{"name":"BMC Medical Imaging","volume":"25 1","pages":"119"},"PeriodicalIF":2.9,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11998462/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143972471","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}