INTRODUCTION: This study was conducted to evaluate the efficacy of postoperative computed tomography (CT) measurements of aortic lumen volumes in predicting aortic-related complications following acute type A aortic dissection (ATAAD) repair. METHODS: We conducted a single-institution retrospective aortic volumetric analysis of patients after ascending aorta replacement performed during 2001-2015. The volumetric measurements of total lumen (total-L), true lumen (TL), false lumen (FL), as well as the TL:FL ratio from the first and second postoperative computer angiograms were obtained. A generalised structural equation model was created to analyse the predictive utility of TL:FL ratio. RESULTS: One hundred and twenty-five patients underwent surgical intervention, of whom 97 patients were eventually discharged and analysed for postoperative complications. A total of 19 patients were included in the final analysis. Patients with late postoperative aortic complications had a significantly higher FL volume and total-L volume on the first (FL volume P = 0.041, total-L volume P = 0.05) and second (FL volume P = 0.01, total-L volume P = 0.007) postoperative scans. The odds of having aortic complications were raised by 1% with a 1 cm 3 increase in total-L volume and by 2% with a 1 cm 3 increase in FL volume. The TL:FL ratio was significantly lower in patients who developed complications. CONCLUSION Postoperative CT volumetric measurements in patients who developed complications are characterised by a significant increase in the FL volume and total-L volume from the first postoperative scans. Patients with disproportionately expanded FL presenting with TL:FL ratios less than 1 were associated with aortic complications. Hence, the TL:FL ratio may be a reliable and useful parameter to monitor postoperative disease progression and to evaluate the risk of late complications in ATAAD patients.
Humans ; Male ; Female ; Retrospective Studies ; Singapore ; Aortic Dissection/diagnostic imaging* ; Middle Aged ; Postoperative Complications/diagnostic imaging* ; Aged ; Tomography, X-Ray Computed ; Aortic Aneurysm/diagnostic imaging* ; Aorta/surgery* ; Adult ; Treatment Outcome ; Computed Tomography Angiography

OBJECTIVE: To explore the anatomical parameters of the cervical uncinate process "inflection point" through cervical CT angiography (CTA) and MRI measurements, offering a reliable and safe anatomical landmark for anterior cervical decompression surgery. METHODS: A retrospective analysis was conducted on the cervical CTA and MRI imaging data of normal adults who met the selection criteria between January 2020 and January 2024. The CTA dataset included 326 cases, with 200 males and 126 females, aged 22-55 years (mean, 46.7 years). The MRI dataset included 300 cases, with 200 males and 100 females, aged 18-55 years (mean, 43.7 years). Based on the CTA data, three-dimensional models of C ₃-C ₇ were constructed, and the following measurements were obtained from the superior view: uncinate process "inflection point" to vertebral artery distance (UIVD), uncinate process tip to vertebral artery distance (UTVD), uncinate process "inflection point" to "inflection point" distance (UID), uncinate process long-axis to sagittal angle (ULSA), and uncinate process "inflection point" to transverse foramen-sagittal angle (UITSA). From the anterior view, the anterior uncinate process to sagittal angle (AUSA) was measured. From the posterior view, the posterior uncinate process to sagittal angle (PUSA) was measured. Based on the MRI data, uncinate process "inflection point" to dural sac distance (UIDD) and dural sac width (DSW) were measured. The trends in measurement parameters of C ₃-C ₇ were observed, and the differences in measurement parameters between genders and between the left and right sides of the same segment were compared, as well as the difference in UID and DSW within the same segment was compared. RESULTS: The measurement parameters from C ₃ to C ₇ in the CTA data showed a general increasing trend, with no significant difference between the left and right sides within the same segment ( P>0.05). The UIVD, UTVD, and UID were greater in males than in females, with significant differences observed in the UIVD and UTVD at C ₃ and C ₆ and UID at C ₃, C ₆, and C ₇ ( P<0.05). The MRI measured DSW showed a general increasing trend from C ₃ to C ₇, and the DSW at C ₆ was greater in females than in males, with a significant difference ( P<0.05). The UIDD showed a gradual decreasing trend, with the smallest value at C ₆. There was no significant difference between males and females or between the left and right sides within the same segment ( P>0.05). The UID was greater than the DSW at C ₃-C ₇, and the differences were significant ( P<0.05). CONCLUSION The uncinate process "inflection point" is a constant anatomical structure located at the anteromedial aspect of the uncinate process tip and laterally to the dural sac. It maintains a certain safe distance from the vertebral artery. As a decompression landmark in anterior cervical spine surgery, it not only ensures surgical safety but also guarantees complete decompression.
Humans ; Adult ; Male ; Female ; Middle Aged ; Retrospective Studies ; Cervical Vertebrae/surgery* ; Magnetic Resonance Imaging ; Decompression, Surgical/methods* ; Young Adult ; Adolescent ; Computed Tomography Angiography ; Imaging, Three-Dimensional ; Vertebral Artery/anatomy & histology* ; Anatomic Landmarks/diagnostic imaging*

OBJECTIVE: To investigate the accuracy of color Doppler ultrasound (CDU) and CT angiography (CTA) in the preoperative evaluation of perforator vessels in free posterior interosseous artery perforator (PIAP) flaps. METHODS: Between January 2020 and December 2023, 19 patients with hand skin and soft tissue defects caused by trauma were admitted. There were 11 males and 8 females, with a median age of 45 years (range, 26-54 years). The interval between injury and admission was 5-11 days (mean, 7.2 days). The skin and soft tissue defects were located on the dorsum of the hand in 8 cases and on the fingers in 11 cases. The size of defect ranged from 4.0 cm×2.5 cm to 7.5 cm×3.5 cm. After locating the perforator vessels through CDU and CTA before operation, the free PIAP flaps were designed to repair hand defects, with the size of 4.5 cm×3.0 cm-7.5 cm×4.0 cm. The defects of donor sites were directly sutured. The number and diameter of perforator vessels in the posterior interosseous artery detected by CDU and CTA were compared. The differences in localization of perforator vessels using CDU and CTA and their clinical effects were also compared to calculate the accuracy and recognition rate. During follow-up, the survival of the skin flap was observed, and the Vancouver scar scale (VSS) score was used to evaluate the healing of the donor site, while the visual analogue scale (VAS) score was used to evaluate the patient's satisfaction with the appearance of the skin flap. RESULTS: The number and the diameter of PIAP vessels was 5.8±1.2 and (0.62±0.08) mm assessed by CDU and 5.2±1.0 and (0.60±0.07) mm by CTA, showing no significant difference between the two methods ( P>0.05). The number, course, and distribution of perforator vessels of the PIAP vessels observed during operation were basically consistent with those detected by preoperative CDU and CTA. Compared with intraoperative observation results, the recognition rates of dominant perforating vessels by CDU and CTA were 95.0% (18/19) and 89.5% (17/19), respectively, and the accuracy rates were 100% (19/19) and 84.2% (16/19), with no significant difference between the two methods ( P>0.05). All flaps survived after operation, and all wounds and incisions at donor sites healed by first intention. All patients were followed up 6-13 months (mean, 8.2 months). At last follow-up, the skin flaps had elasticity and soft texture，with the patient satisfaction VAS score of 9.2±0.8. The donor sites had no obvious scar hyperplasia with the VSS score of 11.7±0.9. CONCLUSION CDU and CTA accurately identify the dominant perforator vessels and provide reliable information for vessel localization, facilitating precise flap harvesting and minimizing donor site injury. However, CDU offers superior visualization of distal end of perforator vessels in the forearm compared to CTA.
Humans ; Female ; Male ; Adult ; Perforator Flap/blood supply* ; Middle Aged ; Ultrasonography, Doppler, Color/methods* ; Computed Tomography Angiography/methods* ; Soft Tissue Injuries/diagnostic imaging* ; Hand Injuries/diagnostic imaging* ; Plastic Surgery Procedures/methods* ; Hand/surgery* ; Preoperative Care ; Arteries/diagnostic imaging*

OBJECTIVE: To investigate the application of three-dimensional (3D) reconstruction technology in preoperative planning for anterolateral thigh flap transplantation. METHODS: A retrospective analysis was performed on the clinical data of 11 patients with skin and soft tissue defects treated with free anterolateral thigh flap transplantation between January 2022 and January 2024, who met the selection criteria. There were 8 males and 3 females, aged 34-70 years (mean, 50.8 years). Causes of injury included traffic accidents (4 cases), machine trauma (3 cases), heavy object crush injury (3 cases), and tumor (1 case). The time from injury to flap repair ranged from 7 to 35 days (mean, 23 days). Preoperatively, the patients' CT angiography images were imported into Mimics21.0 software. Through the software's segmentation, editing, and reconstruction functions, 3D visualization and measurement of the vascular pedicle, perforators, wound size, and morphology were performed to plan the flap harvest area, contour, vascular pedicle length, and anastomosis site, guiding the implementation of flap transplantation. RESULTS: The length of the vascular pedicle needed by the recipient site was (9.1±0.9) cm, and the maximum length of vascular pedicle in the donor area was (10.6±0.6) cm, with a significant difference ( t=4.230, P<0.001). The operation time ranged from 220 to 600 minutes (mean, 361.9 minutes). One patient had poor wound healing at the recipient site, which healed after dressing changes. All 11 flaps survived well without necrosis. All patients were followed up 6-19 months (mean, 11 months). Four flaps showed bulkiness and underwent secondary debulking; the remaining flaps had good contour and soft texture. The donor sites healed well, with no sensory disturbance around the incision or complications such as walking impairment. CONCLUSION Preoperative planning using CT angiography data and 3D reconstruction software can effectively determine the flap area, contour, required vascular pedicle length, anastomosis site, and whether vascular grafting is needed, thereby guiding the successful execution of anterolateral thigh flap transplantation.
Humans ; Middle Aged ; Male ; Female ; Adult ; Thigh/diagnostic imaging* ; Aged ; Plastic Surgery Procedures/methods* ; Retrospective Studies ; Imaging, Three-Dimensional/methods* ; Soft Tissue Injuries/surgery* ; Surgical Flaps ; Computed Tomography Angiography ; Free Tissue Flaps/blood supply* ; Preoperative Care

PURPOSE: To analyze the diagnostic efficacy of computed tomography angiography compared to digital cerebral angiography for the diagnosis of traumatic aneurysms (TAs) associated with combat-related penetrating head injuries and propose the most suitable angiography protocol in this clinical context. METHODS: A retrospective analysis was conducted on patients admitted to the neurosurgical clinic for penetrating traumatic brain injuries between February, 2022 and July, 2024, for whom both cerebral multidetector computed tomography angiography (MCTA) and digital cerebral angiography (DCA) were available. The inclusion were patients (1) with penetrating head injuries, (2) with missile trajectory traverses through the Sylvian or great longitudinal fissure, (3) basal cisterns with/or major subarachnoid hemorrhage. The sensitivity, specificity, positive predictive value, and negative predictive value of MCTA were calculated. DCA was considered as the gold standard of diagnosis. The sensitivity, specificity, positive predictive value, and negative predictive value of MCTA were calculated. Descriptive statistics and nonparametric statistics were used to analyze the study results and their differences, respectively. RESULTS: A total of 40 patients with 45 TAs were included in the study. Of these, 26 patients (65.0%) were found to have aneurysms on MCTA. The median diameter of the aneurysms diagnosed by MCTA was 4.9 (3.6, 4.8) mm (range of 2.5 - 10.4 mm). However, the mean diameter of TAs not detected by MCTA but diagnosed by DCA was (3.0 ± 1.3) mm (range of 1.3 - 4.9 mm). MCTA demonstrated sensitivity and specificity of 35.5% and 99.5%, respectively, with positive and negative predictive values of 92.3% and 90.7%. CONCLUSIONS A low sensitivity of MCTA for the diagnosis of TAs associated with combat-related penetrating head injuries was reported. When MCTA is inconclusive in the setting of radiologic predictors of cerebral artery injury, DSA may be required.
Humans ; Male ; Retrospective Studies ; Adult ; Multidetector Computed Tomography/methods* ; Intracranial Aneurysm/etiology* ; Computed Tomography Angiography/methods* ; Female ; Head Injuries, Penetrating/diagnostic imaging* ; Middle Aged ; Cerebral Angiography/methods* ; Predictive Value of Tests ; Sensitivity and Specificity ; Young Adult

Renal autotransplantation (RA) offers significant technical advantages for the management of certain complex renal vascular diseases, such as complex renal aneurysms and renal artery malformations. This report describes a case of a 5-year-old child with a complex left renal artery aneurysm combined with multiple aneurysms. The child was admitted to Peking University People's Hospital in December 2023 due to a one-year history of intermittent abdominal pain, with an abdominal mass detected in the past month. Computed tomography angiography(CTA) revealed multiple vascular anomalies, including: (1) a left renal artery aneurysm, (2) an abdominal aortic aneurysm, and (3) a right iliac artery aneurysm. After a comprehensive evaluation of these findings, the surgical team developed a treatment plan that involved the excision of the left renal artery aneurysm, autotransplantation of the left kidney, and resection of the abdominal aortic aneurysm with an artificial vascular catheterization. During surgery, it was discovered that the left renal artery anatomy was highly complex. The artery had two primary branches, along with an additional polar artery located at the lower pole. The aneurysm was identified at the distal end of the renal artery trunk, with a pronounced bulging at the intersection between the main renal artery trunk and its secondary branches. Due to these structural complexities, the team decided to use an ex vivo surgical approach to repair the aneurysm. Ex vivo repair involves temporarily removing the kidney from the body to repair the renal artery aneurysm with enhanced precision, enabling the surgical team to meticulously reconstruct the complex vascular architecture without the constraints of in vivo manipulation. The ex vivo repair of the renal artery aneurysm was successful, allowing for accurate vascular reconstruction and avoiding potential intraoperative complications. Following the reconstruction, the kidney was autotransplanted back into the child's body, and blood flow was effectively restored to the organ. The therapeutic outcome was excellent, with the child experiencing no postoperative complications. The patient recovered well and was discharged from the hospital in stable condition. This case underscores the value of renal autotransplantation combined with ex vivo repair for pediatric patients with complicated renal artery aneurysms. Through this report, we aim to provide insights and considerations for the surgical treatment of similar cases in children with complex renal vascular anatomy.
Child, Preschool ; Humans ; Aneurysm/surgery* ; Aortic Aneurysm, Abdominal/diagnostic imaging* ; Computed Tomography Angiography ; Iliac Aneurysm/surgery* ; Kidney Transplantation/methods* ; Renal Artery/abnormalities* ; Transplantation, Autologous

Objective To develop a diagnostic model combining the CT angiography(CCTA)-derived myocardial radiomics signatures with the CT-derived fractional flow reserve(CT-FFR)based on coronary CCTA and investigate the diagnostic accuracy of the hybrid model for hemodynamically significant coronary artery disease(CAD).Methods The patients presenting stable angina pectoris,diagnosed with CAD,and clinically referred for CCTA examination and invasive coronary angiography were prospectively recruited.Radiomics features of the left ventricular myocardium were extracted from the three main perfusion territories demarcated according to the coronary blood supply.The extracted features were first selected by the minimum redundancy maximum relevance feature ranking method.A least absolute shrinkage and selection operator Logistic regression algorithm with leave-one-out cross-validation was then employed to construct a radiomics model.The CT-FFR value was generated for each blood vessel.The area under the receiver operating characteristics curve(AUC_ROC),sensitivity,and specificity were adopted to evaluate the performance of each model against the reference standard invasive coronary angiography/FFR.Results A total of 70 patients[42 men and 28 women;(61±10) years old] were included in this study and complemented CCTA examination,with 175 vessels and the corresponding myocardial territories undergoing invasive coronary angiography/FFR.A total of 1 656 specific radiomics parameters were extracted,from which 14 features were selected to establish the radiomics model.The AUC_ROC,sensitivity,and specificity were 0.797(95%CI=0.732-0.861),77.1%,and 73.7%for the radiomics model,0.892(95%CI=0.841-0.943),81.4%,and 88.8%for the CT-FFR model,and 0.928(95%CI=0.890-0.965),83.3%,and 88.4%for the hybrid model,respectively.The hybrid model outperformed the radiomics model and CT-FFR alone(P=0.040).Conclusions The radiomics signatures of the vessel-related myocardium from CCTA could provide incremental value to the diagnostic performance of CT-FFR and improve vessel-specific ischemia detection.The hybrid model combining CT-FFR with radiomics signatures is potentially feasible for improving the diagnostic accuracy for hemodynamically significant CAD.
Coronary Angiography/methods* ; Tomography, X-Ray Computed ; Humans ; Hemodynamics ; Coronary Artery Disease/diagnostic imaging* ; Male ; Female ; Middle Aged ; Aged ; Radiomics ; Angina Pectoris/diagnostic imaging* ; China ; Image Processing, Computer-Assisted ; Coronary Vessels/diagnostic imaging*

Manual segmentation of coronary arteries in computed tomography angiography (CTA) images is inefficient, and existing deep learning segmentation models often exhibit low accuracy on coronary artery images. Inspired by the Transformer architecture, this paper proposes a novel segmentation model, the double parallel encoder u-net with transformers (DUNETR). This network employed a dual-encoder design integrating Transformers and convolutional neural networks (CNNs). The Transformer encoder transformed three-dimensional (3D) coronary artery data into a one-dimensional (1D) sequential problem, effectively capturing global multi-scale feature information. Meanwhile, the CNN encoder extracted local features of the 3D coronary arteries. The complementary features extracted by the two encoders were fused through the noise reduction feature fusion (NRFF) module and passed to the decoder. Experimental results on a public dataset demonstrated that the proposed DUNETR model achieved a Dice similarity coefficient of 81.19% and a recall rate of 80.18%, representing improvements of 0.49% and 0.46%, respectively, over the next best model in comparative experiments. These results surpassed those of other conventional deep learning methods. The integration of Transformers and CNNs as dual encoders enables the extraction of rich feature information, significantly enhancing the effectiveness of 3D coronary artery segmentation. Additionally, this model provides a novel approach for segmenting other vascular structures.
Neural Networks, Computer ; Humans ; Coronary Vessels/diagnostic imaging* ; Computed Tomography Angiography/methods* ; Deep Learning ; Coronary Angiography/methods* ; Imaging, Three-Dimensional ; Image Processing, Computer-Assisted/methods* ; Algorithms ; Convolutional Neural Networks

OBJECTIVE: To compare the effectiveness of poly ether ether ketone (PEEK) localization marker combined with mixed reality technology versus color doppler ultrasound guidance for the vessel localization of anterolateral thigh perforator flap. METHODS: A retrospective analysis was conducted on 40 patients with tissue defects after oral cancer resection who underwent repair using the anterolateral thigh perforator flap between January 2022 and June 2023. According to the different intraoperative positioning methods of the anterolateral thigh perforator flap, they were randomly divided into PEEK group [using PEEK localization marker combined with mixed reality technology based on CT angiography (CTA) data] and color ultrasound group (using color ultrasound guidance), with 20 cases in each group. There was no significant difference in gender, age, etiology, and disease duration between the two groups ( P>0.05). The number of perforator vessels identified in the two groups of regions of interest was recorded, and compared them with the intraoperative actually detected number to calculate the success identifying rate of perforator vessels; the distance between the perforating point and the actual puncture point was measured, the operation time of the two groups of flaps was recorded. RESULTS: In the PEEK group, 32 perforator vessels were identified, 34 were detected by intraoperative exploration, and the success identifying rate was 94.1% (32/34); in the color ultrasound group, 29 perforator vessels were identified, 33 were detected by intraoperative exploration, and the success identifying rate was 87.8% (29/33); there was a significant difference in the success identifying rate between the two groups ( P<0.05). The distance between the perforating point and the actual puncture point and the operation time in PEEK group were significantly shorter than those in color ultrasound group ( P<0.05). Patients in both groups were followed up 6-30 months, with a median of 17 months; there was no significant difference in follow-up time between the two groups ( P>0.05). In the PEEK group, there was 1 case of flap necrosis at the distal edge and delayed healing after trimming and dressing change. In the color ultrasound group, there was 1 case of flap necrosis at 7 days after operation and pectoralis major myocutaneous flap was selected for repair after removal of the necrotic flap. In the rest, the flap survived and the incision healed by first intention. Donor site infection occurred in 1 case in PEEK group and healed after anti-inflammatory treatment. The maxillofacial appearance of the two groups was good, the flap was not obviously bloated, and the patients were satisfied with the repair effect. CONCLUSION Compared with the traditional color ultrasound guidance, the PEEK localization marker combined with mixed reality technology based on CTA data in vessel localization of anterolateral thigh perforator flap has higher success identifying rate and positioning accuracy, and the flap production time is shorter, which has high clinical application value.
Humans ; Ketones ; Perforator Flap/blood supply* ; Benzophenones ; Polymers ; Male ; Thigh/blood supply* ; Polyethylene Glycols ; Female ; Ultrasonography, Doppler, Color ; Computed Tomography Angiography ; Plastic Surgery Procedures/methods* ; Mouth Neoplasms/surgery* ; Middle Aged

Objective To evaluate the impact of deep learning reconstruction algorithm on the image quality of head and neck CT angiography (CTA) at 100 kVp. Methods CT scanning was performed at 100 kVp for the 37 patients who underwent head and neck CTA in PUMC Hospital from March to April in 2021.Four sets of images were reconstructed by three-dimensional adaptive iterative dose reduction (AIDR 3D) and advanced intelligent Clear-IQ engine (AiCE) (low,medium,and high intensity algorithms),respectively.The average CT value,standard deviation (SD),signal-to-noise ratio (SNR),and contrast-to-noise ratio (CNR) of the region of interest in the transverse section image were calculated.Furthermore,the four sets of sagittal maximum intensity projection images of the anterior cerebral artery were scored (1 point:poor,5 points:excellent). Results The SNR and CNR showed differences in the images reconstructed by AiCE (low,medium,and high intensity) and AIDR 3D (all P<0.01).The quality scores of the image reconstructed by AiCE (low,medium,and high intensity) and AIDR 3D were 4.78±0.41,4.92±0.27,4.97±0.16,and 3.92±0.27,respectively,which showed statistically significant differences (all P<0.001). Conclusion AiCE outperformed AIDR 3D in reconstructing the images of head and neck CTA at 100 kVp,being capable of improving image quality and applicable in clinical examinations.
Humans ; Computed Tomography Angiography/methods* ; Radiation Dosage ; Deep Learning ; Radiographic Image Interpretation, Computer-Assisted/methods* ; Signal-To-Noise Ratio ; Algorithms