Veterinary Radiology & Ultrasound最新文献_第8页

Concurrent Partial Avulsion of Popliteal and Long Digital Extensor Tendons in a Juvenile Dog. 幼犬腘窝和指长伸肌腱并发部分撕脱。

IF 1.2 2区农林科学

Veterinary Radiology & Ultrasound Pub Date : 2026-05-01 DOI: 10.1111/vru.70180

Rodrigo Corral Salazar, Martin Hamon, Aurelie Bruwier, Betsey Daly, Pierre P Picavet

引用次数: 0

Miniaturization in Domestic Dogs: Relationships Among Cranial Shape, Head Indexes, and Body Weight. 家养狗的小型化：颅骨形状、头部指数和体重之间的关系。

IF 1.2 2区农林科学

Veterinary Radiology & Ultrasound Pub Date : 2026-05-01 DOI: 10.1111/vru.70178

Alyssa M Froese, Ian R Porter, Patrick C Carney, Peter V Scrivani

{"title":"Miniaturization in Domestic Dogs: Relationships Among Cranial Shape, Head Indexes, and Body Weight.","authors":"Alyssa M Froese, Ian R Porter, Patrick C Carney, Peter V Scrivani","doi":"10.1111/vru.70178","DOIUrl":"10.1111/vru.70178","url":null,"abstract":"Diagnostic interpretation is complicated by normal anatomic variation in canine heads. This retrospective cross-sectional study examined how miniaturization-proxied by body weight-relates to four cranial shape categories (archetypal, intermediate, round, and extreme round) and three quantitative head measures (cranial index, skull index, and facial index) in 852 domestic dogs using archived medical records, including CT images. Dogs were also grouped for further analysis: Group A, breeds predisposed to syringomyelia; Group B, breeds not at risk. Head indexes correlated positively with each other and inversely with weight, except for skull and facial indexes in Group A. Cranial shape, ranging from archetypal to extreme round, was significantly (p < 0.0001) associated with a lower median body weight in all dogs, indicating that cranial morphology does not always scale isometrically with miniaturization: Smaller dogs more frequently had rounder crania. The distribution of cranial shapes also differed significantly between groups (p < 0.0001): Group A dogs more frequently had rounder crania. Group A dogs also had lower median body weight and higher median cranial, skull, and facial indexes (all p < 0.0001). Logistic regression revealed that each 1.0 kg reduction in body weight increased the odds of belonging to Group A by 25%, whereas each 1.0 increase in cranial, skull, and facial indexes raised odds by 28%, 16%, and 3%, respectively. These findings underscore the complex interplay among cranial shape, head indexes, and body weight in domestic dogs, highlighting miniaturization's influence on skull morphology and providing context for interpreting normal variation in clinical imaging.","PeriodicalId":23581,"journal":{"name":"Veterinary Radiology & Ultrasound","volume":"67 3","pages":"e70178"},"PeriodicalIF":1.2,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148006980","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Effect of a Standardized Sedation Protocol on Portal Vein Velocity Measurements in Hospitalized Dogs Using Triplex-Doppler Ultrasonography. 标准化镇静方案对住院犬门静脉流速测量的影响。

IF 1.2 2区农林科学

Veterinary Radiology & Ultrasound Pub Date : 2026-05-01 DOI: 10.1111/vru.70175

Wiktoria Jamont, Anne-Lorraine Peschard, Monica Augusto, Cliona Skelly, Antonella Puggioni

{"title":"Effect of a Standardized Sedation Protocol on Portal Vein Velocity Measurements in Hospitalized Dogs Using Triplex-Doppler Ultrasonography.","authors":"Wiktoria Jamont, Anne-Lorraine Peschard, Monica Augusto, Cliona Skelly, Antonella Puggioni","doi":"10.1111/vru.70175","DOIUrl":"10.1111/vru.70175","url":null,"abstract":"Portal vein velocity (PVV) is a useful indirect indicator of portal pressure. Reference values for PVV have been previously established in healthy, non-sedated dogs with reported ranges of 14.7 ± 2.5 and 18.1 ± 7.6 cm/s. PVV may be influenced by physiological and pathological factors; for example, a correlation between body weight and PVV has been documented; however, the effect of other factors is unknown. The primary aims of this prospective comparative study were to investigate the effect of standardized intravenous sedation protocol of medetomidine (2-3 µg/kg) and butorphanol (0.3 mg/kg) on PVV and to determine whether post-sedation PVV results would fall below the portal hypertension threshold of 10 cm/s. Six triplex-Doppler PVV measurements were obtained pre- and post-sedation on 15 client-owned dogs undergoing abdominal ultrasonography for conditions unrelated to primary liver disease. The mean PVV pre-sedation was 14.9 ± 3.98 cm/s and 3-min post-sedation was 10.4 ± 3.73 cm/s, representing a statistically significant reduction in PVV (p < 0.001). The mean PVV was below 10 cm/s in 3/15 (20%) dogs pre-sedation and below 10 cm/s in 9/15 (60%) dogs post-sedation. There was no effect of age, sex, or weight on PVV before and/or after sedation. Sedation with medetomidine and butorphanol caused a significant reduction in PVV at 3-min post-administration. This finding should be considered when evaluating hepatic and portal hemodynamics in dogs, as 60% (9/15) of the sedated cases with presumed normal hepatic function exhibited post-sedation PVV at levels seen with portal hypertension.","PeriodicalId":23581,"journal":{"name":"Veterinary Radiology & Ultrasound","volume":"67 3","pages":"e70175"},"PeriodicalIF":1.2,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13094395/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147723776","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

CT Features of an Extraskeletal Osteosarcoma Associated With a Retained Surgical Sponge in a Dog. 犬骨外骨肉瘤伴手术海绵残留的CT表现。

IF 1.2 2区农林科学

Veterinary Radiology & Ultrasound Pub Date : 2026-05-01 DOI: 10.1111/vru.70179

Kota Yamashita, Misaki Osuga, Shouta Nouchi, Manabu Kurihara

引用次数: 0

Diagnostic Threshold Identification for Equine Laminitis Using Smoothed Receiver Operating Characteristic Analysis. 基于平滑受者工作特征分析的马椎板炎诊断阈值识别。

IF 1.2 2区农林科学

Veterinary Radiology & Ultrasound Pub Date : 2026-05-01 DOI: 10.1111/vru.70158

Mahmut Sami Erdoğan

{"title":"Diagnostic Threshold Identification for Equine Laminitis Using Smoothed Receiver Operating Characteristic Analysis.","authors":"Mahmut Sami Erdoğan","doi":"10.1111/vru.70158","DOIUrl":"10.1111/vru.70158","url":null,"abstract":"Radiographic measurement parameters play a key role in diagnosing acute and subacute laminitis in horses, with diagnostic thresholds typically derived from empirical receiver operating characteristic (ROC) analysis. However, these methods often produce unstable results, particularly in small or noisy datasets. This study applies nonuniform rational B-spline (NURBS)-based ROC smoothing to radiographic data from laminitic and healthy horses to evaluate its effectiveness in refining diagnostic thresholds. Thresholds are determined using Youden's index based on NURBS-smoothed ROC curves and compared against the empirical thresholds previously proposed in the literature, which are obtained via the index of union criterion. Diagnostic performance is assessed by area under the curve (AUC), sensitivity, specificity, and threshold agreement, with bootstrap resampling used to estimate confidence intervals. Across multiple radiographic variables, smoothed ROC analysis yields thresholds that match or exceed conventional methods in classification accuracy. NURBS-derived thresholds reduce misclassification rates and show stronger alignment with clinical diagnosis. The use of smoothing and resampling techniques strengthens the statistical reliability of the findings. NURBS smoothing emerges as a reliable complementary tool for improving consistency in radiographic threshold selection for laminitis detection.","PeriodicalId":23581,"journal":{"name":"Veterinary Radiology & Ultrasound","volume":"67 3","pages":"e70158"},"PeriodicalIF":1.2,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147634200","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimizing CT-Based Models for Predicting Whole-Body Fat in Rabbits. 优化基于ct的兔全身脂肪预测模型。

IF 1.2 2区农林科学

Veterinary Radiology & Ultrasound Pub Date : 2026-05-01 DOI: 10.1111/vru.70160

Panida Pongvittayanon, Anna Hvidbjerg Poulsen, Cecilie Olsen, Eva González Pérez, Charlotte Reinhard Bjørnvad, Fintan J McEvoy, Mette Louise Halck

{"title":"Optimizing CT-Based Models for Predicting Whole-Body Fat in Rabbits.","authors":"Panida Pongvittayanon, Anna Hvidbjerg Poulsen, Cecilie Olsen, Eva González Pérez, Charlotte Reinhard Bjørnvad, Fintan J McEvoy, Mette Louise Halck","doi":"10.1111/vru.70160","DOIUrl":"10.1111/vru.70160","url":null,"abstract":"This study evaluated three computed tomography (CT)-based automatic fat segmentation methods and identified the optimal regression model for predicting whole-body fat in rabbits. CT scans were performed on 21 postmortem companion rabbits to estimate fat percentage (Fat%-CT) and fat volume (FV-CT, mm3). Two techniques were used to determine CT number (Hounsfield units [HU]) ranges for fat (HU Ranges 1 and 2). These were applied to four body regions using three voxel counting techniques (one-, two-, and three-dimensional techniques) to quantify Fat%-CT and FV-CT. Data from whole-body chemical carcass analysis (whole-body Fat% and whole-body fat in grams) were used as gold standard values. The relationship between the extracted CT data and carcass fat estimates was determined using a Spearman rank correlation. Simple linear regression and assumption tests were performed to identify the best model for predicting whole-body Fat%, and whole-body fat (g). There was a high correlation between measured fat estimated by CT and by chemical carcass analysis (rs > 0.7, p < 0.001) for all but one body region-counting combination. The best model predicting whole-body Fat% used CT data from left kidney region, HU Range 2, and three-dimensional counting technique. The optimal model predicting whole-body fat (g) used CT data from the entire abdominal region, HU Range 1, and a one-dimensional counting technique. The CT-based models for estimating whole-body fat in rabbits are feasible. Model optimization requires appropriate selection of the body region, CT number ranges, and counting techniques.","PeriodicalId":23581,"journal":{"name":"Veterinary Radiology & Ultrasound","volume":"67 3","pages":"e70160"},"PeriodicalIF":1.2,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13150672/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147843486","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Investigation of the Accuracy and Contributing Factors of AI-Based Diagnosis of Urothelial Carcinoma in Canine Abdominal Radiography. 犬腹部x线人工智能诊断尿路上皮癌的准确性及影响因素探讨。

IF 1.2 2区农林科学

Veterinary Radiology & Ultrasound Pub Date : 2026-05-01 DOI: 10.1111/vru.70172

Masahiro Murakami, Kosuke Kinoshita, Mario Sola, Anthony Lutz

{"title":"Investigation of the Accuracy and Contributing Factors of AI-Based Diagnosis of Urothelial Carcinoma in Canine Abdominal Radiography.","authors":"Masahiro Murakami, Kosuke Kinoshita, Mario Sola, Anthony Lutz","doi":"10.1111/vru.70172","DOIUrl":"10.1111/vru.70172","url":null,"abstract":"Urothelial carcinoma (UC) is a highly malignant urinary cancer of the transitional epithelium in dogs. Recent advances in artificial intelligence (AI) and machine learning have shown substantial potential in veterinary medicine. The purpose of this study was to evaluate the accuracy of AI-based software in detecting UC in dogs using abdominal radiography and to identify factors that influence the sensitivity of AI-based diagnosis. Dogs underwent abdominal radiography, and ultrasound was retrospectively retrieved. Dogs with histologically confirmed UC and ultrasound changes were included in UC training and UC validation groups, whereas dogs without clinical suspicion of urinary neoplasia and without ultrasound findings consistent with UC were included as non-UC training and non-UC validation groups. Histological and imaging findings of UC were recorded. A convolutional neural network (CNN) was trained with 500 studies from the UC training and 500 studies from the non-UC training groups. For validation, an additional 185 studies from the UC validation and 180 studies from the non-UC validation groups were used to provide AI-based diagnosis of UC by the trained CNN. The sensitivity, specificity, and accuracy of the AI-based diagnosis of UC were 69%, 67%, and 68%, respectively. The software showed higher sensitivity in detecting more severe UC with mineralization. However, medial iliac lymphadenomegaly and ureteral obstruction did not improve the sensitivity of AI-based diagnosis. In conclusion, well-trained CNN demonstrated moderate accuracy for detecting UC using abdominal radiographs, with higher sensitivity in cases with more advanced disease. The unexpectedly superior performance of the ventrodorsal (VD) view warrants further investigation.","PeriodicalId":23581,"journal":{"name":"Veterinary Radiology & Ultrasound","volume":"67 3","pages":"e70172"},"PeriodicalIF":1.2,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13094397/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147723763","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Scope of Adoption of Standardized Structure Nomenclature in Veterinary Radiation Oncology. 兽医放射肿瘤学采用标准化结构命名法的范围。

IF 1.2 2区农林科学

Veterinary Radiology & Ultrasound Pub Date : 2026-05-01 DOI: 10.1111/vru.70168

Konstantina J Giapintzaki, Del Leary, Thomas Ber-In Lee, Melanie Linn, Nicholas Rancilio, Imran Shah, Parminder S Basran

{"title":"Scope of Adoption of Standardized Structure Nomenclature in Veterinary Radiation Oncology.","authors":"Konstantina J Giapintzaki, Del Leary, Thomas Ber-In Lee, Melanie Linn, Nicholas Rancilio, Imran Shah, Parminder S Basran","doi":"10.1111/vru.70168","DOIUrl":"10.1111/vru.70168","url":null,"abstract":"The aim of this study is to investigate how well veterinary institutions have adopted to the structure naming conventions provided by the American Association of Physicists in Medicine (AAPM) Task Group 263 (TG-263). The TG-263 standard nomenclature has been suggested as a means of reducing the uncertainty in structure definitions in radiation oncology. Our interest is in understanding whether these recommendations have been adopted in the veterinary radiation oncology setting. This study includes a convenience sample survey of five veterinary institutions across the United States, each with 38-102 total structure names defined across their templates. The data were examined in two steps: an automated check that flagged forbidden characters, spaces, and exceeding length, and a manual review for abbreviations (e.g., L/R), uniqueness, and mapping to the TG-263 structure spreadsheet and SNOMED (Systematized Nomenclature of Medicine) Veterinary Extension. Each structure was classified as compliant, having one error, multiple errors, or uniquely defined by the institution. The results were analyzed by determining the percentages of each category per institution. Our results suggest wide variability with a mean compliance of 55.2% and a standard deviation of 35.2%, which suggests no clear trend.","PeriodicalId":23581,"journal":{"name":"Veterinary Radiology & Ultrasound","volume":"67 3","pages":"e70168"},"PeriodicalIF":1.2,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147782389","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Deep Learning for Diagnosis of Disc Herniation in Small Animals: A CNN-Based Approach Using CT Imaging. 深度学习诊断小动物椎间盘突出：基于cnn的CT成像方法。

IF 1.2 2区农林科学

Veterinary Radiology & Ultrasound Pub Date : 2026-05-01 DOI: 10.1111/vru.70161

Parham Soufizadeh, Hamed Famil Ghadakchi, Seyyed Hossein Modarres Tonekabony, Mohammad Molazem

{"title":"Deep Learning for Diagnosis of Disc Herniation in Small Animals: A CNN-Based Approach Using CT Imaging.","authors":"Parham Soufizadeh, Hamed Famil Ghadakchi, Seyyed Hossein Modarres Tonekabony, Mohammad Molazem","doi":"10.1111/vru.70161","DOIUrl":"10.1111/vru.70161","url":null,"abstract":"Intervertebral disc disease (IVDD) is a common neurological disorder in dogs and cats, leading to significant mobility issues and reduced quality of life. Traditional imaging modalities, including radiography, computed tomography (CT), and magnetic resonance imaging (MRI), are integral to IVDD diagnosis, but each has limitations in visualizing soft tissues and requires specialized interpretation. Recent advancements in deep learning (DL), particularly convolutional neural networks (CNNs), offer promising solutions by automating image analysis, enhancing diagnostic accuracy, and reducing human error. This study presents the development of a CNN-based model for detecting disc herniation in CT images of small animals. A total of 1651 annotated CT images were curated from 64,602 scans to create a balanced dataset of healthy and herniated disc cases. Data preprocessing included image resizing, normalization, and extensive augmentation to improve generalization. The segmentation of intervertebral discs was performed using a U-Net architecture, supplemented by synthetic mask generation with K-means clustering and contrast enhancement via Contrast Limited Adaptive Histogram Equalization (CLAHE). Classification employed a fine-tuned Visual Geometry Group 16 (VGG16) model with transfer learning. This approach incorporated optimized layers for binary classification, leveraging dropout and batch normalization to prevent overfitting. The model demonstrated high classification accuracy, providing rapid and objective analysis of CT scans for IVDD diagnosis. By integrating DL with veterinary imaging, our research advances diagnostic capabilities, aiming for earlier detection and better therapeutic planning for small animals with spinal disorders. Future work includes expanding datasets and refining the model for broader clinical applicability.","PeriodicalId":23581,"journal":{"name":"Veterinary Radiology & Ultrasound","volume":"67 3","pages":"e70161"},"PeriodicalIF":1.2,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147989269","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Thoracic Computed Tomographic Characteristics of Canine Blastomycosis. 犬芽孢菌病的胸部ct特征。

IF 1.2 2区农林科学

Veterinary Radiology & Ultrasound Pub Date : 2026-05-01 DOI: 10.1111/vru.70187

Ori Nagasaka, Caroline V Fulkerson, Masahiro Murakami

{"title":"Thoracic Computed Tomographic Characteristics of Canine Blastomycosis.","authors":"Ori Nagasaka, Caroline V Fulkerson, Masahiro Murakami","doi":"10.1111/vru.70187","DOIUrl":"10.1111/vru.70187","url":null,"abstract":"While thoracic radiographic studies have described the broad thoracic findings of canine blastomycosis, thoracic computed tomographic (CT) findings have been minimally reported. This single-center, retrospective, descriptive case series study aimed to characterize thoracic CT features of canine blastomycosis. CT studies of dogs diagnosed with blastomycosis with confirmed or presumed pulmonary involvement were included and reviewed by board-certified radiologists. A total of 23 dogs met the inclusion criteria. Soft-tissue-attenuating pulmonary parenchymal lesions (nodules, masses, or consolidation) were present in all patients, with nodules present in 20 of 23 (87.0%), consolidation in 15 of 23 (65.2%), and masses in seven of 23 (30.4%), with 21 of 23 dogs having mixed lesion types. Soft-tissue attenuations were present in multiple lung lobes in 21 of 23 patients (91.3%) with no specific lung lobe predilection. Concurrent ground-glass attenuation was common (21/23, 91.3%), predominantly with a diffuse distribution (11/21, 52.4%). Intrathoracic lymphadenomegaly was present in 17 of 23 cases (73.9%), most of which involved the tracheobronchial lymph nodes (TBLNs) and, uncommonly, involved the cranial mediastinal and sternal lymph nodes. TBLN enlargement often involved two nodes, with the middle and left TBLNs being the most frequently enlarged. The largest lymph node was contrast-enhanced in all cases of lymphadenomegaly, with the majority showing moderate heterogeneous enhancement. In conclusion, the most common thoracic CT findings in this patient population were multilobar pulmonary nodules and consolidation, often accompanied by diffuse ground-glass attenuation and tracheobronchial lymphadenomegaly.","PeriodicalId":23581,"journal":{"name":"Veterinary Radiology & Ultrasound","volume":"67 3","pages":"e70187"},"PeriodicalIF":1.2,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147989316","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0