ObjectiveTo explore the evaluation value of preoperative multislice spiral computed tomography angiography (MSCTA) for normative radical gastrectomy. MethodsThe anatomic distributions of celiac trunk and its three branches and their tributaries (common hepatic artery, right hepatic artery, left hepatic artery, splenic artery, and left gastric artery) of 86 patients with gastric cancer were comprehended by preoperative MSCTA, which were verified during the surgery. Simultaneously preoperative TNM staging was evaluated by MSCTA, which compared with postoperative pathological results. ResultsThe accuracy rate of preoperative MSCTA evaluating the distribution of celiac trunk and its three branches and their tributaries was 100%. Abnormal hepatic arteries were found in 22 cases by MSCTA, the mutation rate was 25.58%. Abnormal right hepatic arteries were found in 11 cases (12.79%), abnormal left hepatic arteries in 7 cases (8.14%), both abnormal right and left hepatic arteries in 1 case (1.16%), and abnormal common hepatic arteries in 3 cases (3.49%). Straight splenic arteries were found in 24 cases (27.91%), slightly curved splenic arteries in 44 cases (51.16%), and significantly curved splenic arteries in 18 cases (20.93%). Compared with postoperative pathological results, the accuracy rates of preoperative MSCTA evaluating gastric cancer T, N, and M staging were 75.58%（65/86）, 74.42%(64/86), and 91.86%(79/86), respectively. ConclusionsPreoperative MSCTA is an objective way to assess the distributions of celiac artery trunk and related tributaries of patients with gastric cancer. Also, it is an accurate method to evaluate the preoperative TNM stage of gastric cancer, which can help to make an individual operative plan and avoid the intraoperative injury of the artery.
ObjectiveTo find the relationship between bicuspid aortic valve (BAV) and the dilatation or aneurysm of the aorta using electrocardiogram-gated computed tomography angiography (CTA). MethodsWe collected the clinical data of the BAV coexisting with suspected aortic dilatation or aneurysm from February 2012 through April 2015. A total of 124 patients were analyzed retrospectively. There were 97 males and 27 females at an anverage age of 50.35±16.26 years. According to the CTA, patients were classified into two groups: a pure BAV(without raphe) group and a BAV (with raphe) group. we recorded the aortic diameters, gender, age, and so on. ResultsOf the 124 patients, 91 (73.4%) had BAV with raphe, and 33 patients (26.6%) had pure BAV. The analysis revealed that the diameter of the annulus (23.90±3.34 mm vs. 21.74±3.46 mm, P=0.005), the sinuses of Valsalva (40.93±6.78 mm vs. 37.35±7.06 mm, P=0.022), the tubular portion of the ascending aorta (45.38±7.66 mm vs. 38.29±8.18 mm, P=0.0001), and the part of the aorta proximal to the innominate artery (34.19±4.98 mm vs. 30.23±6.62 mm, P=0.02) between patients with BAV with raphe and pure BAV had significant differences. And there was a significant difference in prevalence of dilatation of the aorta between patients with pure BAV and BAV with raphe [77/91 (84.6%) vs.18/31(58.1%), P=0.004]. Of the 91 BAV with raphe patients, we found 76 patients (83.5%) with right and left coronary cusps (R-L) fusion, 13 patients (14.3%) with right and non-coronary cusps (R-N) fusion, and 2 patients (1.2%) with left and non-coronary cusps (L-N) fusion. There was a statistical difference in the aortic root diameters between R-L fusion BAV and R-N fusion BAV. The diameter of the distal ascending aorta and proximal aortic arch between R-L and R-N fusion BAV had statistical differences. ConclusionsBAV with raphe is more common than pure BAV and is more often associated with dilatation and aneurysm of the ascending aorta. Otherwise R-L fusion BAV is associated with increased diameters of the aortic root, while R-N fusion BAV is associated with increased diameters of the distal ascending aorta and proximal arch.
ObjectivesTo systematically review clinical values of multi-slice spiral computed tomography angiography (MSCTA) in diagnosis of chest pain triple (CPT).MethodsPubMed, EMbase, The Cochrane Library, Web of Science, CNKI, CBM, VIP and WanFang Data databases were searched to collect diagnostic tests on CPT diagnosed by MSCTA from inception to October 2017. Two reviewers independently screened literature, extracted data, and assessed the risk of bias of the included studies. Meta-analysis was performed by Stata 12.0 software. The pooled weighted Sen, Spe, +LR, -LR, and the DOR were calculated, SROC and AUC were drawn.ResultsA total of 11 diagnostic studies were included. The results of meta-analysis showed that the pooled Sen, Spe, +LR, -LR, DOR and AUC of MSCTA for diagnosing CPT were 0.95 (95%CI 0.91 to 0.98), 0.97 (95%CI 0.94 to 0.98), 31.24 (95%CI 15.63 to 62.43), 0.05 (95%CI 0.02 to 0.10), 659.04 (95%CI 236.73 to 1 834.71) and 0.99 (95%CI 0.98 to 1.00), respectively.ConclusionsMSCTA has high sensibility and specificity for diagnosing CPT. Due to limited quantity and quality of the included studies, more high-quality studies are required to verify the above conclusion.
Objective To explore the reliability and effectiveness of prediction of the pedicle length of the proximally-based anterolateral thigh (pALT) flap which was used to repair the defects following the resection of various malignant tumors using computed tomographic angiography (CTA). Methods The clinical data of 12 patients who met the selection criteria by using pALT flap to repair wounds left after malignant tumor resection between June 2015 and December 2020 were retrospectively analyzed. There were 5 males and 7 females; the age ranged from 16 to 80 years, with an average age of 54.4 years. After tumor resection, the soft tissue defect ranged from 15 cm×5 cm to 30 cm×12 cm; defect sites included 4 cases of lower abdomen, 3 cases of groin, 2 cases of thigh, and 3 cases of buttocks. Preoperative CTA was used to obtain the location information of the descending branch of the lateral femoral circumflex artery and its perforators by maximum density projection, and the length of the pedicle of pALT flap was estimated. Fasciocutaneous flap (5 cases) or myocutaneous flap (7 cases) were cut during operation to repair the defect, and the size of flap ranged from 20 cm×7 cm to 30 cm×12 cm. The donor site of thigh was directly sutured (11 cases) or repaired with skin graft (1 case). Bland-Altman analysis was used to detect the consistency between the pALT flap vascular pedicle length estimated by CTA and the pALT flap vascular pedicle length actually obtained during operation. ResultsOne case had distal blood supply disturbance of the flap and was repaired with skin graft after debridement; the remaining 11 flaps survived. All donor and recipient incisions healed by first intention. All 12 cases were followed up 1-12 months, with an average of 4.3 months. One patient died of pelvic tumor recurrence at 6 months after operation, and no tumor recurrence was found in the other patients. Preoperative CTA estimated that the length of pALT flap vascular pedicle was 9.3-24.7 cm, with an average of 14.7 cm; the actual length of pALT flap vascular pedicle was 9.5-25.0 cm, with an average of 14.8 cm. Bland-Altman analysis showed that there was no significant difference between the pALT flap vascular pedicle length estimated by CTA before operation and the pALT flap vascular pedicle length actually obtained during operation, and the average difference was 0.1 (95% consistency limit: –0.89, 0.74), indicating that they had good consistency. ConclusionCTA can be accurately used to localize the perforator and predict the possible pedicle length of the pALT flap. When performing a pALT flap surgery, preoperative CTA is helpful for surgeons to make a preliminary assessment of the difficult of the operation. The time for exploration of perforators and dissection of the vascular pedicle, and complications can be reduced, and the safety of the operation can be improved.
ObjectiveTo investigate the value of preoperative clinical data and computed tomography angiography (CTA) data in predicting perioperative mortality risk in patients with acute aortic dissection (AAD), and to construct a Nomogram prediction model. MethodsA retrospective study was conducted on AAD patients treated at Affiliated Hospital of Zunyi Medical University from February 2013 to July 2023. Patients who died during the perioperative period were included in the death group, and those who improved during the same period were randomly selected as the non-death group. The first CTA data and preoperative clinical data within the perioperative period of the two groups were collected, and related risk factors were analyzed to screen out independent predictive factors for perioperative death. The Nomogram prediction model for perioperative mortality risk in AAD patients was constructed using the screened independent predictive factors, and the effect of the Nomogram was evaluated by calibration curves and area under the curve (AUC). ResultsA total of 270 AAD patients were included. There were 60 patients in the death group, including 42 males and 18 females with an average age of 56.89±13.42 years. There were 210 patients in the non-death group, including 163 males and 47 females with an average age of 56.15±13.77 years. Multivariate logistic regression analysis showed that type A AAD [OR=0.218, 95%CI (0.108, 0.440), P<0.001], irregular tear morphology [OR=2.054, 95%CI (1.025, 4.117), P=0.042], decreased hemoglobin [OR=0.983, 95%CI (0.971, 0.995), P=0.007], increased uric acid [OR=1.003, 95%CI (1.001, 1.005), P=0.004], and increased aspartate aminotransferase [OR=1.003, 95%CI (1.000, 1.006), P=0.035] were independent risk factors for perioperative death in AAD patients. The Nomogram prediction model constructed using the above risk factors had an AUC of 0.790 for predicting perioperative death, indicating good predictive performance. ConclusionType A AAD, irregular tear morphology, decreased hemoglobin, increased uric acid, and increased aspartate aminotransferase are independent predictive factors for perioperative death in AAD patients. The Nomogram prediction model constructed using these factors can help assess the perioperative mortality risk of AAD patients.