TomographyPub Date : 2026-03-31DOI: 10.3390/tomography12040046
Chao Li, Jinwei Zhang, Alexey V Dimov, Anne K Koehne de González, Martin R Prince, Jiahao Li, Dominick Romano, Pascal Spincemaille, Thanh D Nguyen, Gary M Brittenham, Yi Wang
{"title":"MRI Quantification of Liver Fibrosis Using Diamagnetic Susceptibility: An Ex Vivo Validation Study.","authors":"Chao Li, Jinwei Zhang, Alexey V Dimov, Anne K Koehne de González, Martin R Prince, Jiahao Li, Dominick Romano, Pascal Spincemaille, Thanh D Nguyen, Gary M Brittenham, Yi Wang","doi":"10.3390/tomography12040046","DOIUrl":"https://doi.org/10.3390/tomography12040046","url":null,"abstract":"<p><strong>Background/objectives: </strong>Liver fibrosis, if left untreated, can lead to cirrhosis and cancer. The current standard liver biopsy for fibrosis staging is invasive and prone to risks of complication. The objective of this study was to develop a new noninvasive method to quantify fibrosis using diamagnetic susceptibility sources generated from multi-echo gradient echo (mGRE) data with both magnitude decay R2* modeling and phase QSM modeling.</p><p><strong>Methods: </strong>mGRE data of ex vivo liver explants was processed with fat-water separation and then susceptibility source separation. Negative susceptibility was used to measure diamagnetic fibrosis. In 20 formalin-fixed liver explant sections, negative susceptibility maps were compared with other MRI parameters against pathology for fibrosis staging.</p><p><strong>Results: </strong>The correlation between the negative susceptibility sources and the fibrosis stages was evaluated with Spearman coefficients. Negative susceptibility differentiated (i) no or mild fibrosis (stages F0 to F1) from moderate-to-advanced fibrosis (stages F2 to F3; <i>p</i> = 0.0025), (ii) stages F2 to F3 from cirrhosis (stage F4; <i>p</i> = 0.021), and (iii) no-to-moderate fibrosis (stages F0 to F2) from advanced fibrosis or cirrhosis (stages F3 to F4) with a sensitivity of 90%, a specificity of 90%, and a 0.88 Receiver Operating Characteristic Area Under the Curve (AUC) (<i>p</i> = 0.0017).</p><p><strong>Conclusions: </strong>For staging fibrosis, negative susceptibility was superior to other MRI parameters, including R2*, QSM, and PDFF. Negative susceptibility sources were positively correlated with the fibrosis stage (r = 0.60). Negative susceptibility could be valuable for MRI staging in liver fibrosis.</p>","PeriodicalId":51330,"journal":{"name":"Tomography","volume":"12 4","pages":""},"PeriodicalIF":2.2,"publicationDate":"2026-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13119593/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147788727","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Mapping the Intratumoral and Peritumoral Microenvironment: Multilayered Shell ADC Analysis and Its Association with Multiparametric Biomarkers in Invasive Breast Cancer.","authors":"Adil Aytaç, Bahar Yanık Keyik, Erdoğan Bülbül, Gülen Demirpolat, Gülay Turan","doi":"10.3390/tomography12040047","DOIUrl":"https://doi.org/10.3390/tomography12040047","url":null,"abstract":"<p><p><b>Objective:</b> This study aimed to investigate the associations between intratumoral and peritumoral apparent diffusion coefficient (ADC) measurements and multiparametric biological markers in invasive breast cancer using a novel peritumoral analysis approach. <b>Materials and Methods:</b> In this retrospective study, 68 patients underwent 1.5 T breast magnetic resonance imaging. Following volumetric tumor segmentation, the peritumoral environment was analyzed using a segmentation-based, improved multilayered concentric shell model at distances of 0-2, 2-5, and 5-10 mm. The ADC values were normalized to contralateral parenchyma (rADC), and the intratumoral-to-peritumoral ADC ratios were calculated. Parameters were correlated with molecular subtypes, axillary metastasis, lymphovascular invasion (LVI), histologic grade, and Ki-67 index. <b>Results</b>: Lower intratumoral ADC and lower intratumoral-to-peritumoral ADC ratios were significantly associated with higher histologic grade, increased Ki-67, and axillary metastasis (<i>p</i> < 0.05). The 0-2 mm shell, representing the immediate invasion front, demonstrated the strongest associations with lymphovascular invasion and nodal involvement, while distance-dependent attenuation of effect sizes was observed across more distal peritumoral layers. <b>Conclusions:</b> The segmentation-based and improved multilayered shell model effectively captures the distance-dependent biological gradient of the peritumoral microenvironment. The intratumoral-to-peritumoral ADC ratios within the immediate 2 mm zone may provide complementary information regarding imaging markers of tumor aggressiveness when interpreted alongside absolute measurements. These findings suggest a potential role for these parameters as complementary imaging markers in preoperative risk stratification within a multiparametric framework.</p>","PeriodicalId":51330,"journal":{"name":"Tomography","volume":"12 4","pages":""},"PeriodicalIF":2.2,"publicationDate":"2026-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13120269/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147788670","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
TomographyPub Date : 2026-03-31DOI: 10.3390/tomography12040048
Curtis Plante, Andrew E Warfield, Carlos Escobedo, Amer M Johri, David S Majdalany, Bill S Majdalany
{"title":"Optimizing Microbubble Reduction to Facilitate IVUS Guidance During Endovascular Radiofrequency Wire Procedures.","authors":"Curtis Plante, Andrew E Warfield, Carlos Escobedo, Amer M Johri, David S Majdalany, Bill S Majdalany","doi":"10.3390/tomography12040048","DOIUrl":"https://doi.org/10.3390/tomography12040048","url":null,"abstract":"<p><p><b>Background/Objectives:</b> Radiofrequency (RF) wire energy can be used for tissue ablation across many conditions. Adjusting RF generator parameters allows RF energy to puncture tissue with minimal adjacent damage. When RF energy is applied to tissue, however, microbubbles are produced, obstructing intravascular ultrasound (IVUS). Mitigation of RF-generated microbubbles has been studied for ablation but not for puncture. <b>Methods:</b> This paper describes an in vitro bench study using ex vivo bovine live tissue. A model was created with bovine liver tissue and an IVUS catheter submerged in a saline bath. Tissue was punctured with an RF guidewire to recreate microbubbles. Following the puncture, various methods were applied: altering the mechanical index of the IVUS, applying a VF10-5 Linear probe (Siemens), and applying a L12-3 Linear probe (Philips). Regions of interest (ROIs) were selected to track pixel brightness as a proxy for microbubbles. <b>Results:</b> The control increased ROI brightness by 1.5%. Altering the mechanical index of IVUS reduced ROI brightness by 1.2%. VF10-5 probe application increased ROI brightness by 1.2%. L12-3 probe application reduced ROI brightness by 33.0% (<i>p</i> = 0.046, <i>n</i> = 3, one-sample <i>t</i>-test). Brightness reduction was most pronounced at the site of initial RF wire puncture, where microbubbles accumulated. Tip visualization improved, allowing for more precise wire trajectory adjustments. <b>Conclusions:</b> External US with an L12-3 probe was able to dissipate microbubbles effectively to improve IVUS guidance following RF wire puncture in an in vitro exploratory bench model.</p>","PeriodicalId":51330,"journal":{"name":"Tomography","volume":"12 4","pages":""},"PeriodicalIF":2.2,"publicationDate":"2026-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13119538/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147788683","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
TomographyPub Date : 2026-03-29DOI: 10.3390/tomography12040045
Mohammad Alarifi, Areej Aloufi, Abdulrahman Jabour, Ahmad Abanomy, Haitham Alahmad, Khaled Alenazi, Alhanouf Alshedi, Mansour Almanaa
{"title":"Clinical Performance Tradeoffs of ChatGPT-5.2 Thinking (OpenAI) Compared with Radiologist Interpretation in Biopsy-Referred Mammography: Cancer Detection, False Positives, and Laterality.","authors":"Mohammad Alarifi, Areej Aloufi, Abdulrahman Jabour, Ahmad Abanomy, Haitham Alahmad, Khaled Alenazi, Alhanouf Alshedi, Mansour Almanaa","doi":"10.3390/tomography12040045","DOIUrl":"https://doi.org/10.3390/tomography12040045","url":null,"abstract":"<p><p><b>Background/Objectives:</b> Breast cancer screening such as mammography supports earlier detection, but variability in interpretation can still lead to missed cancers and avoidable follow-up testing. We evaluated ChatGPT-5.2 Thinking (OpenAI) as a stand-alone model for examination-level malignancy classification on standard bilateral mammography views in a biopsy-referred cohort, compared with breast radiologists, and assessed laterality performance. <b>Methods:</b> We conducted a retrospective, multicenter diagnostic-accuracy study across breast imaging centers in Saudi Arabia. From an upstream screened cohort (<i>n</i> = 1225), we constructed a biopsy-referred test set of 100 mammography examinations (four 2D views per exam: bilateral CC and MLO; 400 images), including 61 biopsy-confirmed malignancies and 39 biopsy-negative controls, with pathology as the reference standard. Radiologists were blinded to pathology and AI outputs and assigned BI-RADS (0-5) and suspected laterality. ChatGPT-5.2 interpreted the same de-identified views using a BI-RADS-guided prompt to generate BI-RADS and laterality. The sensitivity, specificity, accuracy, and laterality concordance were then estimated. <b>Results:</b> ChatGPT-5.2 had higher sensitivity than radiologists (95.08% vs. 81.97%) but markedly lower specificity (10.26% vs. 56.41%), resulting in lower overall accuracy (62.00% vs. 72.00%). The AI produced 58 true positives, 35 false positives, and 3 false negatives, while radiologists produced 50 true positives, 17 false positives, and 11 false negatives. Laterality accuracy among malignant examinations was 60.66%. <b>Conclusions:</b> In this pathology-anchored, biopsy-referred evaluation, ChatGPT-5.2 identified more cancers but generated substantially more false-positive classifications and showed only moderate breast-side localization. These findings support use as a concurrent aid or prioritization tool rather than a stand-alone reader and motivate efforts to improve specificity and laterality before prospective validation.</p>","PeriodicalId":51330,"journal":{"name":"Tomography","volume":"12 4","pages":""},"PeriodicalIF":2.2,"publicationDate":"2026-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13120468/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147788663","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
TomographyPub Date : 2026-03-25DOI: 10.3390/tomography12040044
Muhammad Adeel Asghar, Sultan Shoaib, Muhammad Zahid
{"title":"HAAU-Net: Hybrid Adaptive Attention U-Net Integrated with Context-Aware Morphologically Stable Features for Real-Time MRI Brain Tumor Detection and Segmentation.","authors":"Muhammad Adeel Asghar, Sultan Shoaib, Muhammad Zahid","doi":"10.3390/tomography12040044","DOIUrl":"https://doi.org/10.3390/tomography12040044","url":null,"abstract":"<p><strong>Background: </strong>The Magnetic Resonance Imaging (MRI)-based tumor segmentation remains a challenging problem in medical imaging due to tumor heterogeneity, unpredictable morphological features, and the high complexity of calculations needed to implement it in clinical practice, putting it out of the scope of real-time applications. Although neural networks have significantly improved segmentation performance, they still struggle to capture morphological tumor features while maintaining computational efficiency. This work introduces Hybrid Adaptive Attention U-Net (HAAU-Net) framework, combining context-aware morphologically stable features and spatial channel attention to achieve high-quality tumor segmentation with less computational cost.</p><p><strong>Methods: </strong>The proposed HAAU-Net framework integrates multi-scale Adaptive Attention Blocks (AAB), Context-Aware Morphological Feature Module (CAMFM) and Spatial-Channel Hybrid Attention Mechanism (SCHAM). CAMFM is used to maintain the stability of morphological features by hierarchical aggregation and dynamic normalization of features. SCHAM enhances feature representation by modelling channels and spatial regions where the strongest feature are determined to use in segmentation. On the BRaTS 2022/2023 data, the proposed HAAU-Net is evaluated using four modalities including T1, T1GD, T2 and T2-FLAIR sequences.</p><p><strong>Results: </strong>The proposed model able to obtain 96.8% segmentation accuracy with a Dice coefficient of 0.89 on the entire tumor region, outperforming the alternative U-Net (0.83) and conventional CNN methods of segmentation (0.81). The proposed HAAU-Net architecture cuts the computational complexity of the standard deep learning models by 43% and still achieve real-time inference (28 FPS on a regular GPU). The hybrid model used to predict survival has a C-Index of 0.91 which is higher than the traditional SVM-based methods (0.72).</p><p><strong>Conclusions: </strong>Spatial-channel attention, combined with morphologically stable features, can be combined to allow clinically significant interpretability in attention maps. The proposed framework significantly improves segmentation performance while maintaining computational effeciency. This broad system has a serious potential of AI-enabled clinical decision support system and early prognostic diagnosis in neuro-oncology with practical deployment capability.</p>","PeriodicalId":51330,"journal":{"name":"Tomography","volume":"12 4","pages":""},"PeriodicalIF":2.2,"publicationDate":"2026-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13119650/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147788695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
TomographyPub Date : 2026-03-20DOI: 10.3390/tomography12030043
Bahadir Caglar, Suha Serin
{"title":"The Hidden Variable in Radiological Accuracy: The Impact of Monitor Quality Under Real-Life Emergency Department Conditions.","authors":"Bahadir Caglar, Suha Serin","doi":"10.3390/tomography12030043","DOIUrl":"10.3390/tomography12030043","url":null,"abstract":"<p><strong>Background/objectives: </strong>Radiological assessment has become indispensable for modern clinical decision-making. Image quality plays a critical role in the reliability of radiological interpretation. Unlike most previous studies, this study investigated the effect of monitor type on diagnostic accuracy and ease of diagnosis under physical conditions outside the radiology unit.</p><p><strong>Methods: </strong>Three image sets were prepared for the study, consisting of emergency radiological images, each containing 50 computed tomography, magnetic resonance imaging, and digital radiography images. The image sets were examined by five emergency specialists, who were blinded to each other's work, under emergency service conditions on a standard monitor (SM), medical monitor (MM), and advanced monitor (AM). The accuracy and ease of diagnosis were analyzed statistically according to the type of monitor used.</p><p><strong>Results: </strong>Overall diagnostic accuracy rates were 98.7% for SM, 100% for AM, and 100% for MM. Cochran's Q test demonstrated a statistically significant difference between monitor types (<i>p</i> = 0.002), with significant pairwise differences for SM-AM and SM-MM comparisons. The absolute risk difference between SM and AM/MM was 1.3%, corresponding to a relative risk of 1.013 and a number needed to benefit (NNB) of 77. Ease of diagnosis scores increased progressively across monitor types (SM: 7.6 [IQR 7-8], AM: 9.4 [IQR 9-9.8], MM: 9.8 [IQR 9.6-10]; <i>p</i> < 0.001), with a large overall effect size (Kendall's W = 0.81). Multilevel modeling confirmed that these associations persisted after adjustment for clustering effects.</p><p><strong>Conclusions: </strong>In situations where medical monitors cannot be used due to cost and operational constraints, opting for advanced monitors instead of standard monitors may modestly improve diagnostic accuracy while substantially enhancing perceived ease of diagnosis.</p>","PeriodicalId":51330,"journal":{"name":"Tomography","volume":"12 3","pages":""},"PeriodicalIF":2.2,"publicationDate":"2026-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13030774/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147534398","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
TomographyPub Date : 2026-03-19DOI: 10.3390/tomography12030042
Seung Hoon Lee, Phil Kyu Lee, Se Eun Park, Ho Ra, Jiwon Baek
{"title":"Automated Longitudinal Quantification of Retinal and Choroidal Vascular Changes After Phacoemulsification.","authors":"Seung Hoon Lee, Phil Kyu Lee, Se Eun Park, Ho Ra, Jiwon Baek","doi":"10.3390/tomography12030042","DOIUrl":"10.3390/tomography12030042","url":null,"abstract":"<p><strong>Background/objectives: </strong>To comprehensively evaluate longitudinal retinal and choroidal vascular changes after phacoemulsification using automated optical coherence tomography angiography (OCTA) analysis and to investigate clinical factors influencing these changes.</p><p><strong>Methods: </strong>This retrospective study included 26 subjects (31 eyes) who underwent uncomplicated phacoemulsification. OCTA was performed at baseline and at 1 day, 1 week, 1 month, and 2 months postoperatively. Automated quantitative analysis was applied to assess vessel density- and structure-related parameters in the superficial capillary plexus (SCP), deep capillary plexus (DCP), choriocapillaris, and Haller layer. Longitudinal changes were analyzed using repeated-measures analysis of variance, with time × clinical factor interactions evaluated for diabetes mellitus, anesthesia method, and sex. Inter-layer associations were assessed using Spearman correlation analysis.</p><p><strong>Results: </strong>Significant longitudinal changes were observed in retinal layers. In the SCP, vessel density increased from 42.59 ± 1.46 at baseline to 44.10 ± 1.44 at 2 months (<i>p</i> = 0.002), accompanied by increases in vessel length and node counts (all <i>p</i> < 0.001). In the DCP, vessel density increased from 34.66 ± 5.98 to 38.65 ± 4.83 (<i>p</i> < 0.001). In contrast, choriocapillaris-related parameters showed no significant overall time effect. In the Haller layer, mean vessel diameter decreased significantly over time (<i>p</i> < 0.001), while density-related metrics remained unchanged. ΔVAD demonstrated positive correlations between adjacent layers (SCP-DCP and DCP-choriocapillaris) and a negative correlation between choriocapillaris and Haller layers. Diabetes mellitus showed no significant longitudinal effect, whereas retrobulbar anesthesia and sex significantly modified selected choroidal trajectories.</p><p><strong>Conclusions: </strong>Automated and integrated OCTA analysis revealed layer-dependent retinal and choroidal vascular responses after phacoemulsification, with coordinated changes confined mainly to anatomically adjacent layers and selective modulation by clinical factors.</p>","PeriodicalId":51330,"journal":{"name":"Tomography","volume":"12 3","pages":""},"PeriodicalIF":2.2,"publicationDate":"2026-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13029883/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147534009","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
TomographyPub Date : 2026-03-18DOI: 10.3390/tomography12030041
Konstantin P Gaikovich, Ilya V Malyshev, Dmitry G Reunov, Nikolay I Chkhalo
{"title":"Axial X-Ray Microscopy in Nanotomography.","authors":"Konstantin P Gaikovich, Ilya V Malyshev, Dmitry G Reunov, Nikolay I Chkhalo","doi":"10.3390/tomography12030041","DOIUrl":"10.3390/tomography12030041","url":null,"abstract":"<p><strong>Background/objectives: </strong>This article develops theory and methods for 3D tomographic imaging of absorption coefficient distributions using axial scanning with EUV microscopes at 46× and 345× magnification. Unlike conventional CT that requires sample rotation, axial scanning moves cells through the microscope focus. The aim is tomographic reconstruction of living cell fine structure without the organelle staining used in optical fluorescence microscopy or ultra-thin cell slicing as in electron microscopy.</p><p><strong>Methods: </strong>By generalizing the geometric-optical approximation for small absorption coefficient inhomogeneities in absorbing media, we derived a new explicit tomography equation and solution algorithm validated through numerical simulation. The approach was applied to <i>Convallaria</i> cell analysis using the ×46 microscope. For the ×345 microscope, we developed an alternative method where the kernel of the tomography integral equation was determined experimentally using gold nanospheres with known absorption coefficient, shape, and position. This method was tested through modeling and applied to diagnostics of <i>Convallaria</i> and mouse cerebellar granule cells.</p><p><strong>Results: </strong>The developed methods resolve subcellular features down to 140 nm using the ×46 microscope and 50 nm using the ×345 microscope. Thin low-contrast intracellular structures and individual 50-100 nm organelles were detected.</p><p><strong>Conclusions: </strong>Methods for retrieving absorption coefficient distributions in cone-beam geometry based on geometric-optical theory generalization and on calibration by gold nanoparticles have been developed and validated through numerical simulation and cell analysis. These methods demonstrate for the first time the effectiveness of axial nanotomography using multilayer mirror microscopes for cell diagnostics.</p>","PeriodicalId":51330,"journal":{"name":"Tomography","volume":"12 3","pages":""},"PeriodicalIF":2.2,"publicationDate":"2026-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13030348/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147534239","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Diagnostic Performance of CT-like Images for Lumbar Pedicle Screw Planning and Spinal Canal Area Measurement: A Comparative Study with Conventional CT and MRI.","authors":"Akira Ogihara, Takeshi Fukuda, Shunsuke Katsumi, Hiroya Ojiri","doi":"10.3390/tomography12030040","DOIUrl":"10.3390/tomography12030040","url":null,"abstract":"<p><p><b>Background</b>: Although magnetic resonance imaging (MRI) provides excellent soft-tissue contrast for most spinal evaluations, computed tomography (CT) is still always required for preoperative planning to assess osseous anatomy and determine surgical device size, increasing the radiation exposure and workflow complexity. CT-like images enable visualization of precise bone morphology without ionizing radiation. In addition, these images often provide CT myelography-like contrasts, allowing the simultaneous depiction of the spinal canal area (SCA). This study aimed to evaluate whether CT-like images provide measurement accuracy equivalent to conventional CT and MRI for pedicle screw planning and spinal canal area assessment. <b>Methods</b>: We retrospectively analyzed paired lumbar CT and MRI datasets obtained within ≤1 month in 51 patients. Pedicle width and length were measured on CT and CT-like images, whereas SCA was measured on T2 weighed-images and CT-like images. A total of 224 vertebrae were analyzed. Annotated images were independently evaluated by two readers in a randomized order. Inter-modality agreement was assessed using intraclass correlation coefficients (ICCs) and a Bland-Altman analysis. <b>Results</b>: CT-like images demonstrated an excellent agreement with CT for pedicle measurements (ICCs: 0.968-0.985 for width; 0.922-0.966 for length). Mean differences were ≤0.1 mm for pedicle width and approximately 1 mm for pedicle length, which are unlikely to affect screw selection. The agreement with T2WI for SCA was good to excellent (ICCs: 0.766-0.945). <b>Conclusions</b>: CT-like images provide comparable performance for quantitative pedicle assessment and show high agreement for SCA evaluation, supporting comprehensive preoperative assessment with a single MRI examination.</p>","PeriodicalId":51330,"journal":{"name":"Tomography","volume":"12 3","pages":""},"PeriodicalIF":2.2,"publicationDate":"2026-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13030672/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147534222","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
TomographyPub Date : 2026-03-16DOI: 10.3390/tomography12030039
Davut Unsal Capkan, Ibrahim Tayfun Sahiner
{"title":"Cross-Modal Assessment of Post-Cholecystectomy Symptoms: Integrating MRCP Metrics with Upper Endoscopy.","authors":"Davut Unsal Capkan, Ibrahim Tayfun Sahiner","doi":"10.3390/tomography12030039","DOIUrl":"10.3390/tomography12030039","url":null,"abstract":"<p><strong>Background/objectives: </strong>Post-cholecystectomy syndrome (PCS) remains diagnostically challenging due to overlapping biliary and non-biliary causes. This study aimed to evaluate whether common bile duct (CBD) diameter measured by MRCP can serve as a practical triage parameter in symptomatic PCS patients and to define a data-supported threshold for predicting clinically relevant biliary pathology. Secondary objectives included assessing correlations between MRCP findings and upper endoscopic features.</p><p><strong>Methods: </strong>In this retrospective single-center study, symptomatic adults undergoing upper endoscopy and MRCP were analyzed. Demographic, clinical, biochemical, radiologic, and endoscopic variables were recorded. Diagnostic performance was assessed using ROC analysis, and independent predictors of biliary dilatation were evaluated with multivariable logistic regression.</p><p><strong>Results: </strong>We analyzed 141 symptomatic post-cholecystectomy patients (mean age 58.2 ± 16.3 years; 67.4% female; median time since surgery 18 [9-36] months). Major symptoms: abdominal pain 84.9%, dyspepsia/bloating 47.5%, nausea/vomiting 22.3%, diarrhea 15.1%. CBD diameter measurements were available in the MRCP subgroup (n = 45); ERCP was performed selectively (n = 12). MRCP findings: CBD ≥ 7 mm 31.9%, biliary dilatation 14.9%, stricture 2.8%, suspected Oddi dysfunction 11.3%, postoperative complications 39.7%. Endoscopy: mucosal inflammation 91.5%; normal 8.5%. Significant correlations included CBD diameter vs. mucosal inflammation (r = 0.32, <i>p</i> = 0.001), dilatation vs. bile reflux (r = 0.28, <i>p</i> = 0.004), and Oddi dysfunction vs. papillary edema (r = 0.41, <i>p</i> = 0.001). CBD diameter showed the best diagnostic performance (AUC 0.82, 95% CI 0.74-0.90; cut-off ≥ 8.0 mm; sensitivity 78.3%; specificity 81.5%; <i>p</i> < 0.001). In multivariable analysis, age independently predicted biliary dilatation (OR 1.05 per year; 95% CI 1.01-1.09; <i>p</i> = 0.007).</p><p><strong>Conclusions: </strong>In symptomatic post-cholecystectomy patients, MRCP-measured CBD diameter provides a useful metric for risk stratification, with a threshold of ≥8 mm identifying patients more likely to harbor biliary pathology. These findings support a structured diagnostic approach that prioritizes noninvasive imaging while reserving ERCP for selected cases. Further prospective validation is warranted.</p>","PeriodicalId":51330,"journal":{"name":"Tomography","volume":"12 3","pages":""},"PeriodicalIF":2.2,"publicationDate":"2026-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13030843/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147534258","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}