Search Results (4,554)

The stamp technique with bulk-fill composites aims to enhance occlusal surface replication in Class I restorations. Limited research exists on its void formation and volumetric changes. This study measures internal and external voids as well as volumetric changes in occlusal surfaces for both the stamp and conventional bulk-fill techniques. Materials and methods: Twenty-four permanent molars were divided into two groups (n = 12 each): Group 1 (conventional bulk fill) and Group 2 (stamp technique with bulk-fill composite). Standardized Class I cavities were prepared and restored using Tetric EvoCeram^® Bulk Fill composite. Micro-CT scanning was performed before and after restoration to quantify internal and external void percentages and volumetric changes. An independent samples t-test (α = 0.05) was used to compare void percentages and volumetric changes between groups. Results: The mean internal void percentage was similar between groups (Group 1: 0.38 ± 0.22%; Group 2: 0.39 ± 0.30%; p = 0.914), indicating comparable internal adaptation. Group 2 showed a significantly higher external void percentage (17.59 ± 1.76%) compared to Group 1 (9.05 ± 1.98%; p < 0.001), attributed to the stamp technique’s precise replication of occlusal micromorphology, misinterpreted as porosity by analysis software. Fractal dimension analysis revealed that the stamp technique resulted in the formation of a more complex structure. Restoration volumes (Group 1: 34.10 ± 8.09 mm³; Group 2: 35.52 ± 4.80 mm³; p = 0.639) and volumetric changes (Group 1: 5.91 ± 2.72 mm³; Group 2: 4.64 ± 1.31 mm³; p = 0.199) showed no significant differences. in conclusion, the stamp technique produced internal void percentages comparable to the conventional bulk-fill method in Class I restorations. The significantly higher external void percentage in the stamp technique group was due to the accurate replication of occlusal micromorphology, which was detected as porosity by analysis software. No significant differences were observed in volumetric changes of the occlusal surface before and after restoration between the two techniques, supporting the clinical viability of the stamp technique for precise occlusal restorations. Full article

This study utilizes high-resolution X-ray computed tomography (CT) to evaluate the reservoir characterization in heterogenous carbonate rocks. These rocks show a diagenetic alteration that influences the reservoir quality in the Cretaceous Qamchuqa–Bekhme formations in outcrop and subsurface sections (Gali-Bekhal, Bekhme, and Taq Taq oilfields, NE Iraq). The scanning of fifty-one directional line analyses was conducted on three facies: marine, early diagenetic (non-hydrothermal), and late diagenetic (hydrothermal dolomitization, or HTD). The facies were analyzed from thousands of micro-spot analyses (up to 5250) and computed tomographic numbers (CTNs) across vertical, horizontal, and inclined directions. The surface (outcrop) marine facies exhibited CTNs ranging from 2578 to 2982 Hounsfield Units (HUs) (Av. 2740 HU), with very low average porosity (1.20%) and permeability (0.14 mD) values, while subsurface marine facies showed lower CTNs (1446–2556 HU, Av. 2360 HU) and higher porosity (Av. 8.40%) and permeability (Av. 1.02 mD) compared to the surface samples. Subsurface marine facies revealed higher porosity, lower density, and considerably enhanced conditions for hydrocarbon storage. The CT measurements and petrophysical properties in early diagenesis highlight a considerable porous system in the surface compared to the one in subsurface settings, significantly controlling the quality of the reservoir storage. The late diagenetic scanning values coincide with a saddle dolomite formation formed under high temperature conditions and intensive rock–fluid interactions. These dolomites are related to a hot fluid and are associated with intensive fracturing, vuggy porosities, and zebra-like textures. These textures are more pronounced in the surface than the subsurface settings. A surface evaluation showed a wide CTN range, accompanied by an average porosity of up to 15.47% and permeability of 301.27 mD, while subsurface facies exhibited a significant depletion in the CTN (<500 HU), with an average porosity of about 14.05% and permeability of 91.56 mD. The petrophysical characteristics of the reservoir associated with late-HT dolomitization (subsurface setting) show two populations. The first one exhibited CTN values between 1931 and 2586 HU (Av. 2341 HU), with porosity ranging from 3.10 to 18.43% (Av. 8.84%) and permeability from 0.08 to 2.39 mD (Av. 0.31 mD). The second one recorded a considerable range of CTNs from 457 to 2446 HU (Av. 1823 HU), with porosity from 6.38 to 52.92% (Av. 20.97%) and permeability from 0.16 to 5462.62 mD (Av. 223.11 mD). High temperatures significantly altered the carbonate rock’s properties, with partial/complete occlusion of the porous vuggy and fractured networks, enhancing or reducing the reservoir quality and its storage. In summary, the variations in the CTN across both surface and subsurface facies provide new insight into reservoir heterogeneity and characterization, which is a fundamental factor for understanding the potential of hydrocarbon storage within various geological settings. Full article

Artificial intelligence (AI) is revolutionarily shaping the entire landscape of medicine and particularly the privileged field of radiology, since it produces a significant amount of data, namely, images. Currently, AI implementation in radiology is continuously increasing, from automating image analysis to enhancing workflow management, and specifically, pediatric neuroradiology is emerging as an expanding frontier. Pediatric neuroradiology presents unique opportunities and challenges since neonates’ and small children’s brains are continuously developing, with age-specific changes in terms of anatomy, physiology, and disease presentation. By enhancing diagnostic accuracy, reducing reporting times, and enabling earlier intervention, AI has the potential to significantly impact clinical practice and patients’ quality of life and outcomes. For instance, AI reduces MRI and CT scanner time by employing advanced deep learning (DL) algorithms to accelerate image acquisition through compressed sensing and undersampling, and to enhance image reconstruction by denoising and super-resolving low-quality datasets, thereby producing diagnostic-quality images with significantly fewer data points and in a shorter timeframe. Furthermore, as healthcare systems become increasingly burdened by rising demands and limited radiology workforce capacity, AI offers a practical solution to support clinical decision-making, particularly in institutions where pediatric neuroradiology is limited. For example, the MELD (Multicenter Epilepsy Lesion Detection) algorithm is specifically designed to help radiologists find focal cortical dysplasias (FCDs), which are a common cause of drug-resistant epilepsy. It works by analyzing a patient’s MRI scan and comparing a wide range of features—such as cortical thickness and folding patterns—to a large database of scans from both healthy individuals and epilepsy patients. By identifying subtle deviations from normal brain anatomy, the MELD graph algorithm can highlight potential lesions that are often missed by the human eye, which is a critical step in identifying patients who could benefit from life-changing epilepsy surgery. On the other hand, the integration of AI into pediatric neuroradiology faces technical and ethical challenges, such as data scarcity and ethical and legal restrictions on pediatric data sharing, that complicate the development of robust and generalizable AI models. Moreover, many radiologists remain sceptical of AI’s interpretability and reliability, and there are also important medico-legal questions around responsibility and liability when AI systems are involved in clinical decision-making. Future promising perspectives to overcome these concerns are represented by federated learning and collaborative research and AI development, which require technological innovation and multidisciplinary collaboration between neuroradiologists, data scientists, ethicists, and pediatricians. The paper aims to address: (1) current applications of AI in pediatric neuroradiology; (2) current challenges and ethical considerations related to AI implementation in pediatric neuroradiology; and (3) future opportunities in the clinical and educational pediatric neuroradiology field. AI in pediatric neuroradiology is not meant to replace neuroradiologists, but to amplify human intellect and extend our capacity to diagnose, prognosticate, and treat with unprecedented precision and speed. Full article

Background: The COVID-19 pandemic has claimed thousands of lives worldwide. While infection rates have declined in recent years, emerging variants remain a deadly threat. Accurate diagnosis is critical to curbing transmission and improving treatment outcomes. However, the similarity of COVID-19 symptoms to those of the common cold and flu has spurred the development of automated diagnostic methods, particularly through lung computed-tomography (CT) scan analysis. Methodology: This paper proposes a novel deep learning-based approach for detecting diverse COVID-19 variants using advanced textural feature extraction. The framework employs a dual-channel convolutional neural network (CNN), where one channel processes texture-based features and the other analyzes spatial information. Unlike existing methods, our model dynamically learns textural patterns during training, eliminating reliance on predefined features. A modified local binary pattern (LBP) technique extracts texture data in matrix form, while the CNN’s adaptable internal architecture optimizes the balance between accuracy and computational efficiency. To enhance performance, hyperparameters are fine-tuned using the Adam optimizer and focal loss function. Results: The proposed method is evaluated on two benchmark datasets, COVID-349 and Italian COVID-Set, which include diverse COVID-19 variants. Conclusions: The results demonstrate its superior accuracy (94.63% and 95.47%, respectively), outperforming competing approaches in precision, recall, and overall diagnostic reliability. Full article

Background/Objectives: The abdominal aorta (AA) bifurcates at the level of the L4 vertebra, giving origin to the right and left common iliac arteries (CIA). The CIA then bifurcates into external iliac arteries (EIA) and internal iliac arteries (IIA). The present radiological study aimed to (i) measure the diameter of the right and left CIA, (ii) measure the distance between the AA bifurcation and the point where the ureter crossed the ipsilateral iliac vessels, (iii) examine the angle of AA bifurcation, and (iv) observe the vertebral level at which the AA bifurcated. Methods: The retrospective cross-sectional study included contrast-enhanced CT angiograms of 200 patients (n = 144 males and 56 females) who attended the radiology department from 1 January 2022 to 31 December 2023. Two independent radiologists interpreted the angiograms. The results were interpreted using parametric and non-parametric statistical tests. Results: The mean angle of the AA bifurcation was 40.46° and 44.68° in males and females, respectively (p = 0.013). The mean diameter of the right and left CIA was wider in males than in females, but no statistical significance was found. The average distance between the AA bifurcation and the point where the right and left ureter crossed the ipsilateral iliac arteries was longer in females (60.99 and 60.29 mm, respectively) than in males (59.05 and 59.95 mm, respectively), but no statistical difference was found (p > 0.05). The most common vertebral level for AA bifurcation was the L4 vertebra, which was found in 137 (68.50%) patients. The AA bifurcated at the level of L3 and L5 in 52 (26.00%) and 11 (5.50%) patients, respectively. Conclusions: Understanding the radiological anatomy of the CIA and AA bifurcation and its relation to the ureter is crucial for surgeons performing aortic and pelvic surgeries. Full article

To investigate the damage degradation of recycled concrete under mesoscale morphology and the critical expansion force of concrete cracking following sulfate wet–dry cycles, an experimental sulfate wet–dry cycle was designed. In situ scanning of recycled concrete was conducted using X-ray computed tomography (CT). Analysis of the CT images revealed the relationship between the gray scale changes and the sulfate salt wet–dry cycle, along with pore alterations and crack propagation in recycled concrete. A CT image analysis method based on grayscale inversion for crack propagation was developed. By integrating sulfate attack with fracture mechanics, this study explored the phenomenon of pore expansion in recycled concrete subjected to dry–wet cycling tests. The concrete fracture criterion provided the basis for determining the critical expansion force of recycled concrete after the wet–dry cycles. Results indicated that as the duration of sulfate wet–dry cycles increased, the gray scale first increased and then decreased. On the 40th day of the cycling test, the average grayscale value increased by 10.4%. The number of pores in recycled concrete continuously decreased, pore size diminished, and cracks appeared on the specimen’s weak surface. The use of gray scale changes to reveal the degradation of recycled concrete after sulfate wet–dry cycles proved to be both feasible and effective. As the length of the interface crack increased, the stress intensity factor at the crack tip also increased, while the critical expansion force decreased. Additionally, as the pore diameter increased, the stress intensity factor at the crack tip rose. The critical expansion force of a symmetric crack at the edge of a pore was 53 times greater than that of a single crack. Full article

Stroke is a major global cause of death and disability and necessitates both quick diagnosis and treatment within narrow windows of opportunity. CT scanning is still the first-line imaging in the acute phase, but correct interpretation may not always be readily available and may not be resource-available in poor and rural health systems. Automated stroke classification systems can offer useful diagnostic assistance, but clinical application demands high accuracy and explainable decision-making to maintain physician trust and patient safety. In this paper, a ResNet-18 model was trained on 6653 CT brain scans (hemorrhagic stroke, ischemia, normal) with two-phase fine-tuning and transfer learning, XRAI explainability analysis, and web-based clinical decision support system integration. The model performed with 95% test accuracy with good performance across all classes. This system has great potential for emergency rooms and resource-poor environments, offering quick stroke evaluation when specialists are not available, particularly by rapidly excluding hemorrhagic stroke and assisting in the identification of ischemic stroke, which are critical steps in considering tissue plasminogen activator (tPA) administration within therapeutic windows in eligible patients. The combination of classification, explainability, and clinical interface offers a complete framework for medical AI implementation. Full article

Objective: The objective of this study was to compare the performance and robustness of a deep learning reconstruction method against established alternatives for soft tissue CT image reconstruction. Materials and Methods: Images were generated from portal venous phase chest–abdomen–pelvis CT scans (n = 99) acquired on a dual-layer spectral detector CT using filtered back projection, iterative model reconstruction (IMR), and deep learning reconstruction (DLR) with three parameter settings, namely ‘standard’, ‘sharper’, and ‘smoother’. Experienced raters performed a quantitative assessment by considering attenuation stability and image noise levels in ten representative structures across all reconstruction methods, as well as a qualitative assessment using a four-point Likert scale (1 = poor, 2 = fair, 3 = good, 4 = excellent) for their overall perception of ‘smoother’ DLR and IMR images. One scan was excluded due to cachexia, which limited the quantitative measurements. Results: The inter-rater reliability for quantitative measurements ranged from moderate to excellent (r = 0.63–0.96). Attenuation values did not differ significantly between reconstruction methods except for DLR against IMR in the psoas muscle (mean + 3.0 HU, p < 0.001). Image noise levels differed significantly between reconstruction methods for all structures (all p < 0.001) and were lower than FBP with any DLR parameter setting. Image noise levels with ‘smoother’ DLR were predominantly lower than or equal to IMR, while they were higher with ‘standard’ DLR and ‘sharper’ DLR. The ‘smoother’ DLR images received a higher mean rating for overall image quality than the IMR images (3.7 vs. 2.3, p < 0.001). Conclusions: ‘Smoother’ DLR images were perceived by experienced readers as having improved quality compared to FBP and IMR while also exhibiting objectively lower or equivalent noise levels. Full article

Mucormycosis is a rare invasive fungal disease in pediatric patients with hematological malignancies and is associated with poor outcomes. We present a fulminant and ultimately fatal case of rhino-orbito-cerebral mucormycosis, addressing important issues including clinical signs and symptoms, diagnostic approaches and the challenges of timely diagnosis. The patient was an 11-year old girl undergoing re-induction chemotherapy for Central Nervous System relapse of B-cell precursor acute lymphoblastic leukemia. She presented six days into the second course of chemotherapy in profound neutropenia with aggravating headaches, painful abducens nerve palsy and anisocoria. At first (day −3), no significant radiological or ophthalmological correlations were found, and methyl–prednisolone was started due to suspected vasculitis following ICU admission. After further clinical deterioration, a second MRI scan (day 0) revealed a prolonged occlusion of the left carotid artery, which was successfully stented in a neuroradiological intervention (day +1). However, during the next day the child developed clinical signs indicating severe cerebral dysfunction. An emergency CT scan showed complete infarction of the left hemisphere including a progredient perfusion deficit and beginning brain edema. Based on the unfavorable prognosis, best supportive care was initiated, and the patient deceased on day +2. Pathological and microbiological workup identified thrombotic infarction in all major cerebral arteries. While microscopy was suspicious for mucormycosis, nested PCR from retained blood specimens confirmed the genus Lichtheimia. Final NGS on brain tissue led to the identification of Lichtheimia ramosa. This case illustrates the rapidity and severity of Mucorales infection. It shows the importance of early clinical suspicion and the need for an aggressive laboratory testing algorithms. The stratification of risk factors and definition of red flags may be a future task fighting these infections. Full article

Background/Objectives: Patients with non-small cell lung cancer (NSCLC) being evaluated for stereotactic body radiation therapy (SBRT) are frequently staged non-invasively with positron emission tomography/computed tomography (PET/CT). Performing endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA) in addition to PET/CT scanning may increase clinical certainty in lymph node staging, but the magnitude of added benefit of EBUS-TBNA over non-invasive staging methods is unclear. Methods: A single-center prospective cohort study involving patients with suspected or confirmed Stage I or IIa NSCLC referred for EBUS-TBNA prior to SBRT was performed. The primary outcome was concordance between PET/CT and EBUS-TBNA for nodal metastases. Secondary endpoints included sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of PET/CT, and clinical outcomes based on staging results. Results: Among 115 patients, the concordance between PET/CT and EBUS-TBNA was 84.3% (95% CI: 0.76 0.90). EBUS-TBNA led to a stage shift in 15.7% of cases: 4 of 98 PET/CT N0 patients (4.1%) had nodal metastases, while 14 of 17 PET/CT N1 patients (82.4%) were downstaged to N0. PET/CT sensitivity was 42.9% (95% CI: 0.09–0.81), specificity 87% (95% CI: 0.79–0.93), PPV 17.6% (95% CI: 0.04–0.43), and NPV 95.9% (95% CI: 0.90–0.99). PET/CT-positive, EBUS-TBNA-negative patients had worse survival (HR 4.25, 95% CI: 1.24–14.53, p = 0.021) compared with double-negative patients. Conclusions: EBUS-TBNA improves staging accuracy over PET/CT in early-stage NSCLC, impacting SBRT candidacy. However, PET/CT-positive, EBUS-TBNA-negative patients had worse outcomes in comparison to double-negative patients, suggesting a need for additional therapy or surveillance in that population. Full article

Background and Objectives: Although adjacent vertebral fractures (AVF) frequently occur after balloon kyphoplasty (BKP), their risk factors remain unclear. This retrospective study aimed to identify risk factors for AVF and evaluate the utility of Hounsfield unit (HU) values on preoperative vertebral computed tomography (CT) scans as predictors of its occurrence. Materials and Methods: We retrospectively evaluated 180 patients (46 male and 134 female individuals; mean age: 80.3 years; range: 60–94 years) who underwent BKP for osteoporotic vertebral fractures (OVFs) between 2021 and 2023 with at least 6 months of follow-up. The patients were categorized into the AVF (n = 31) and non-AVF (n = 149) groups. Analyzed variables included patient characteristics, fracture level, prior fractures, posterior wall injury, intravertebral cleft, vacuum phenomenon in adjacent intervertebral discs, injury-to-surgery interval, cement volume, kyphosis angles, wedge ratios, and HU values. HU values were measured at three levels on preoperative CT scans in the vertebrae above and below the treated segment. Cutoff HU values predictive of AVF were determined using receiver operating characteristic (ROC) curve analysis. Results: AVF incidence was 17.2% (31/180), with 71.0% occurring in the vertebrae above the treated level. HU values in all measured slices were significantly lower in the AVF group. The mean HU values in the upper vertebra were 61.1 ± 6.03 (AVF) and 84.7 ± 2.75 (non-AVF), and in the lower vertebra, 51.5 ± 8.44 and 81.0 ± 3.85, respectively. ROC analysis showed cutoff HU values of 79.3 and 61.0 for the upper and lower vertebrae, respectively. HU values were identified as independent AVF risk factors. Conclusions: Preoperative vertebral HU values are independent AVF predictors. Values below 79.3 in the upper or 61.0 in the lower vertebrae were linked to higher AVF risk, suggesting HU measurement is a simple, useful tool for preoperative risk assessment. Full article

Background/Objectives: Femoral neck fractures are a growing concern due to their increasing incidence in both elderly and younger populations. Preoperative CT scan evaluation is often used for better understanding of fracture patterns of femoral neck fractures that need to be treated using cannulated screws. Methods: The present study retrospectively analyzed 55 patients treated with cannulated screw fixation over seven years. Preoperative CT scans, fracture classification (Garden and Pauwels), and surgical timing were evaluated. Results: All 55 patients were treated with three cannulated screws by nine fellowship-trained surgeons. The average age of the CT-yes group was 54.44 years (SD 15.45), while the average age of the CT-no group was 56.93 (SD 14.95). Differences in age among the two groups were not statistically significant. In 4 patients, the treatment with cannulated screws failed, leading to a subsequent total hip arthroplasty for avascular necrosis (AVN). Three of them belonged to the CT-yes group, while only one belonged to the CT-no group. A statistical analysis showed no significant differences between patients who underwent a CT scan and those who did not have a CT scan and their results (p = 0.282). Results indicate no statistically significant difference in outcomes between patients who underwent a CT scan before the surgical treatment and those who did not, while a well-conducted X-ray assessment is essential and can be sufficient to fully understand and treat most of the fractures. Conclusions: The risks of avascular necrosis and non-union must be considered in the decision-making process regarding the suitable treatment. Early surgery did not significantly improve treatment results, but it is recommended. Fixation with cannulated screws remains a good treatment, especially for some patterns of fractures and younger patients. Given the study’s limitations, including the small sample size and retrospective nature, prospective multicenter studies are warranted to better understand the role of CT scans in optimizing surgical planning and improving patient outcomes. Full article

Objectives: This case series and focused literature review address the diagnostic challenges and management strategies for patients presenting with atraumatic, isolated swelling, and stiffness of a single finger’s proximal interphalangeal (PIP) joint. The dual emphasis is on synthesizing the lessons learned from our case series and providing a structured framework for clinical reasoning, including imaging, biopsy, and laboratory assessment. Non-traumatic causes of finger swelling may include rheumatological disease, atypical infection, tumor, or metabolic conditions. Routine evaluation includes history, examination, and radiographs. Additional evaluation may include ultrasound, inflammatory screening labs, magnetic resonance imaging (MRI) and computed tomography (CT). Despite these efforts, a diagnosis may still be elusive. The objective of this study is to provide a useful clinical differential diagnosis and provide lessons learned from this unique group of patients. Methods: Starting in February 2017, patients with isolated unilateral PIP swelling were followed. Clinical information was collected, including history, examination, and laboratory and imaging studies. Patients were followed until a specific diagnosis was obtained. In addition to the series of patients, a focused literature review is given to present additional unusual causes of atraumatic isolated PIP swelling that were not found in this series. Results: There were five cases that met the criteria. This includes two cases ultimately diagnosed with psoriatic arthritis, and one case each of osteoid osteoma, gout and palindromic rheumatoid arthritis. Conclusions: The single most effective test that helped to reach the final diagnosis in this series was the CT scan. Full article

Background/Objectives: The diagnosis of osteomyelitis is typically based on clinical suspI icion supported by imaging and lab findings. Various nuclear medicine imaging, including bone SPECT/CT, is emerging as an effective tool to guide the diagnosis of osteomyelitis. This study investigates whether the preoperative ^99mTc DPD bone SPECT/CT uptake \ratio correlates with intraoperative tissue culture positivity in patients with suspected lower extremity osteomyelitis. Methods: We retrospectively reviewed 46 patients who underwent surgery for suspected osteomyelitis of the lower extremity between February 2020 and May 2025. Bone SPECT/CT was performed using ^99mTc DPD, and uptake values were measured using Syngo.via software. Lesion-to-Background Ratio (LBR) was calculated by comparing uptake in the lesion with the contralateral bone. Intraoperative culture was conducted at the region with high uptake in SPECT/CT. Results: Among the 46 patients who underwent surgery, 28 had positive tissue cultures, and 18 were negative. The mean LBR was significantly higher in culture-positive cases (14.5 ± 4.5) than in culture-negative cases (6.8 ± 8.0, p = 0.0002) Inflammatory markers (WBC, ANC, ESR, CRP) and the antibiotic-free interval before surgery did not significantly differ between groups or correlate with LBR. ROC analysis identified an LBR threshold of 9.44, yielding a sensitivity of 71.4% and specificity of 88.9% for predicting positive cultures (AUC = 0.81). Conclusions: ^99mTc DPD bone SPECT/CT uptake ratio may serve as a useful tool for the preoperative assessment of suspected lower extremity osteomyelitis, providing a more reliable prediction of intraoperative microbial culture results compared to serum inflammatory markers or the duration of antibiotic-free intervals. High tracer uptake may also be observed in various other conditions and thus should be interpreted in a multidisciplinary context in conjunction with other modalities. Full article

In the process of the exploration and development of shale oil, the influence of hydration on shale reservoirs is complex, as it can not only improve porosity and permeability, but also lead to reservoir instability. At present, there is a lack of systematic understanding of the influence of hydration on the physical and chemical properties of shale oil reservoirs. Therefore, in this study, taking the Gulong shale oil reservoir in Songliao Basin as the research object, X-ray diffraction mineral composition analysis, electron microscope scanning, and micro-CT scanning were used to study the micro–macro-changes in shale caused by hydration, and the effects of different fracturing fluids on hydration were evaluated. The results show the following: (1) Hydration increases the porosity and permeability of Gulong shale through clay dispersion and dissolution pore formation, though these transient effects may compromise long-term reservoir stability due to pore-throat clogging. (2) Prolonged hydration significantly enhanced pore structure complexity, with tortuosity increasing by 64.7% (from 2.19 to 3.60) and the fractal dimension rising by 7.5% (from 1.99 to 2.14) with hydration time, and the proportion of larger pores (50–100 μm) increased significantly. (3) Hydration leads to crack propagation and new cracks, and the intersection of cracks reduces the core strength, which may eventually lead to macroscopic damage. (4) The influence of different fracturing fluids on the hydration reaction is obviously different. The higher the concentration, the stronger the hydration effect. Distilled water helps to increase porosity and permeability, but long-term effects may affect reservoir stability. The results of this paper reveal the changes in micro- and macro-characteristics of shale oil reservoirs under hydration, which is of great significance for analyzing the mechanism of hydration and provides theoretical support for improving shale oil recovery. Full article