Pub Date : 2024-10-01DOI: 10.1016/j.xjtc.2024.06.007
Constantine M. Poulos MD , Elliot L. Servais MD
{"title":"Robotic-assisted redo resection of invasive thymoma with en bloc pericardial and diaphragm resection with reconstruction","authors":"Constantine M. Poulos MD , Elliot L. Servais MD","doi":"10.1016/j.xjtc.2024.06.007","DOIUrl":"10.1016/j.xjtc.2024.06.007","url":null,"abstract":"","PeriodicalId":53413,"journal":{"name":"JTCVS Techniques","volume":"27 ","pages":"Pages 188-189"},"PeriodicalIF":1.7,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142535507","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-01DOI: 10.1016/j.xjtc.2024.08.003
Simon Pecha MD , Johannes Petersen MD , Hermann Reichenspurner MD, PhD
{"title":"Computed tomography and transesophageal echocardiography for left atrial appendage evaluation: How much is too much?","authors":"Simon Pecha MD , Johannes Petersen MD , Hermann Reichenspurner MD, PhD","doi":"10.1016/j.xjtc.2024.08.003","DOIUrl":"10.1016/j.xjtc.2024.08.003","url":null,"abstract":"","PeriodicalId":53413,"journal":{"name":"JTCVS Techniques","volume":"27 ","pages":"Pages 114-115"},"PeriodicalIF":1.7,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142536288","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Clarificaton on the similarity of the floating Bentall technique with our previously defined existing technique known as the flange technique","authors":"Kaan Kırali MD, Taylan Adademir MD, FEBCTS (Cardiac)","doi":"10.1016/j.xjtc.2024.08.002","DOIUrl":"10.1016/j.xjtc.2024.08.002","url":null,"abstract":"","PeriodicalId":53413,"journal":{"name":"JTCVS Techniques","volume":"27 ","pages":"Pages 48-49"},"PeriodicalIF":1.7,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142536210","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The fenestrated frozen elephant trunk (FET) technique provides proximalization of distal anastomosis and antegrade blood flow into supra-aortic vessels through fenestration in a FET. We investigated the outcomes of the fenestrated FET technique in acute type A aortic dissection.
Methods
We evaluated 150 patients who underwent arch repair using the fenestrated FET technique for acute type A aortic dissection between July 2014 and January 2023. FET was deployed under hypothermic circulatory arrest and manually fenestrated under direct vision on the supra-aortic vessel aspect. Fenestration was performed for the left subclavian artery alone in 139 patients, 2 supra-aortic vessels in 9 patients, and total supra-aortic vessels in 2 patients. Fixation around fenestration site for endoleak prevention was performed in 48 patients.
Results
The overall 30-day mortality rate was 4.7% (7 out of 150). Two patients developed paraparesis. Adequate blood flow into the supra-aortic vessels through fenestrations were confirmed in all patients at discharge. The false lumen thrombosis rate at the distal edge of FET was 96.6%. The median follow-up period was 28 months. The 1-year and 3-year overall survival rate was 89.1% and 84.5%, respectively. During the follow-up period, neither fenestration occlusion nor stroke was noted in the cerebral area perfused via the fenestration. Distal stent graft-induced new entry was noted in 2 patients.
Conclusions
The fenestrated FET technique is a straightforward and secure procedure for selected patients with acute type A aortic dissection. This technique can facilitate arch repair.
目的通过在 FET 中进行栅栏式冷冻象鼻躯干(FET)技术,可实现远端吻合的近端化和主动脉上血管的逆行血流。方法我们评估了2014年7月至2023年1月期间,150例因急性A型主动脉夹层而使用冷冻大象干(FET)技术进行拱形修复的患者。在低体温循环停止状态下展开 FET,并在直视下手动在主动脉上血管方面进行瓣膜缝合。139例患者仅对左锁骨下动脉进行了瓣膜切割,9例患者对2条主动脉上血管进行了瓣膜切割,2例患者对全部主动脉上血管进行了瓣膜切割。结果 30 天内的总死亡率为 4.7%(150 例中有 7 例)。两名患者出现偏瘫。所有患者出院时均证实通过瓣膜进入主动脉瓣上血管的血流充足。FET 远端假腔血栓形成率为 96.6%。中位随访期为 28 个月。1年和3年总生存率分别为89.1%和84.5%。在随访期间,经瘘管灌注的脑区未发现瘘管闭塞或中风。结论对于选定的急性 A 型主动脉夹层患者,栅栏式 FET 技术是一种简单、安全的手术。该技术可促进拱形修复。
{"title":"Outcomes of fenestrated frozen elephant trunk technique in 150 patients with acute type A aortic dissection","authors":"Homare Okamura MD, PhD , Shuhei Azuma MD , Yuichiro Kitada MD , Ryo Shimada MD , Yohei Nomura MD , Hideo Adachi MD, PhD","doi":"10.1016/j.xjtc.2024.08.004","DOIUrl":"10.1016/j.xjtc.2024.08.004","url":null,"abstract":"<div><h3>Objective</h3><div>The fenestrated frozen elephant trunk (FET) technique provides proximalization of distal anastomosis and antegrade blood flow into supra-aortic vessels through fenestration in a FET. We investigated the outcomes of the fenestrated FET technique in acute type A aortic dissection.</div></div><div><h3>Methods</h3><div>We evaluated 150 patients who underwent arch repair using the fenestrated FET technique for acute type A aortic dissection between July 2014 and January 2023. FET was deployed under hypothermic circulatory arrest and manually fenestrated under direct vision on the supra-aortic vessel aspect. Fenestration was performed for the left subclavian artery alone in 139 patients, 2 supra-aortic vessels in 9 patients, and total supra-aortic vessels in 2 patients. Fixation around fenestration site for endoleak prevention was performed in 48 patients.</div></div><div><h3>Results</h3><div>The overall 30-day mortality rate was 4.7% (7 out of 150). Two patients developed paraparesis. Adequate blood flow into the supra-aortic vessels through fenestrations were confirmed in all patients at discharge. The false lumen thrombosis rate at the distal edge of FET was 96.6%. The median follow-up period was 28 months. The 1-year and 3-year overall survival rate was 89.1% and 84.5%, respectively. During the follow-up period, neither fenestration occlusion nor stroke was noted in the cerebral area perfused via the fenestration. Distal stent graft-induced new entry was noted in 2 patients.</div></div><div><h3>Conclusions</h3><div>The fenestrated FET technique is a straightforward and secure procedure for selected patients with acute type A aortic dissection. This technique can facilitate arch repair.</div></div>","PeriodicalId":53413,"journal":{"name":"JTCVS Techniques","volume":"27 ","pages":"Pages 1-8"},"PeriodicalIF":1.7,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142536271","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-01DOI: 10.1016/j.xjtc.2024.07.021
Gabe Weininger MD, Hanjay Wang MD, Y. Joseph Woo MD
{"title":"Hemi-Commando with aortic homograft and atrioventricular septal defect repair for recurrent triple valve endocarditis","authors":"Gabe Weininger MD, Hanjay Wang MD, Y. Joseph Woo MD","doi":"10.1016/j.xjtc.2024.07.021","DOIUrl":"10.1016/j.xjtc.2024.07.021","url":null,"abstract":"","PeriodicalId":53413,"journal":{"name":"JTCVS Techniques","volume":"27 ","pages":"Pages 76-78"},"PeriodicalIF":1.7,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142535511","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-01DOI: 10.1016/j.xjtc.2024.06.024
Yogita S. Patel BSc , Anthony A. Gatti PhD , Forough Farrokhyar MPhil, PhD , Feng Xie PhD , Waël C. Hanna MDCM, MBA
Objective
Endobronchial ultrasound elastography produces a color map of mediastinal lymph nodes, with the color blue (level 60) indicating stiffness. Our pilot study demonstrated that predominantly blue lymph nodes, with a stiffness area ratio greater than 0.496, are likely malignant. This large-scale study aims to validate this stiffness area ratio compared with pathology.
Methods
This is a single-center prospective clinical trial where B-mode ultrasound and endobronchial ultrasound elastography lymph node images were collected from patients undergoing endobronchial ultrasound transbronchial needle aspiration for suspected or diagnosed non–small cell lung cancer. Images were fed to a trained deep neural network algorithm (NeuralSeg), which segmented the lymph nodes, identified the percent of lymph node area above the color blue threshold of level 60, and assigned a malignant label to lymph nodes with a stiffness area ratio above 0.496. Diagnostic statistics and receiver operating characteristic analyses were conducted. NeuralSeg predictions were compared with pathology.
Results
B-mode ultrasound and endobronchial ultrasound elastography lymph node images (n = 210) were collected from 124 enrolled patients. Only lymph nodes with conclusive pathology results (n = 187) were analyzed. NeuralSeg was able to predict 98 of 143 true negatives and 34 of 44 true positives, resulting in an overall accuracy of 70.59% (95% CI, 63.50-77.01), sensitivity of 43.04% (95% CI, 31.94-54.67), specificity of 90.74% (95% CI, 83.63-95.47), positive predictive value of 77.27% (95% CI, 64.13-86.60), negative predictive value of 68.53% (95% CI, 64.05-72.70), and area under the curve of 0.820 (95% CI, 0.758-0.883).
Conclusions
NeuralSeg was able to predict nodal malignancy based on endobronchial ultrasound elastography lymph node images with high area under the receiver operating characteristic curve and specificity. This technology should be refined further by testing its validity and applicability through a larger dataset in a multicenter trial.
{"title":"Clinical utility of artificial intelligence–augmented endobronchial ultrasound elastography in lymph node staging for lung cancer","authors":"Yogita S. Patel BSc , Anthony A. Gatti PhD , Forough Farrokhyar MPhil, PhD , Feng Xie PhD , Waël C. Hanna MDCM, MBA","doi":"10.1016/j.xjtc.2024.06.024","DOIUrl":"10.1016/j.xjtc.2024.06.024","url":null,"abstract":"<div><h3>Objective</h3><div>Endobronchial ultrasound elastography produces a color map of mediastinal lymph nodes, with the color blue (level 60) indicating stiffness. Our pilot study demonstrated that predominantly blue lymph nodes, with a stiffness area ratio greater than 0.496, are likely malignant. This large-scale study aims to validate this stiffness area ratio compared with pathology.</div></div><div><h3>Methods</h3><div>This is a single-center prospective clinical trial where B-mode ultrasound and endobronchial ultrasound elastography lymph node images were collected from patients undergoing endobronchial ultrasound transbronchial needle aspiration for suspected or diagnosed non–small cell lung cancer. Images were fed to a trained deep neural network algorithm (NeuralSeg), which segmented the lymph nodes, identified the percent of lymph node area above the color blue threshold of level 60, and assigned a malignant label to lymph nodes with a stiffness area ratio above 0.496. Diagnostic statistics and receiver operating characteristic analyses were conducted. NeuralSeg predictions were compared with pathology.</div></div><div><h3>Results</h3><div>B-mode ultrasound and endobronchial ultrasound elastography lymph node images (n = 210) were collected from 124 enrolled patients. Only lymph nodes with conclusive pathology results (n = 187) were analyzed. NeuralSeg was able to predict 98 of 143 true negatives and 34 of 44 true positives, resulting in an overall accuracy of 70.59% (95% CI, 63.50-77.01), sensitivity of 43.04% (95% CI, 31.94-54.67), specificity of 90.74% (95% CI, 83.63-95.47), positive predictive value of 77.27% (95% CI, 64.13-86.60), negative predictive value of 68.53% (95% CI, 64.05-72.70), and area under the curve of 0.820 (95% CI, 0.758-0.883).</div></div><div><h3>Conclusions</h3><div>NeuralSeg was able to predict nodal malignancy based on endobronchial ultrasound elastography lymph node images with high area under the receiver operating characteristic curve and specificity. This technology should be refined further by testing its validity and applicability through a larger dataset in a multicenter trial.</div></div>","PeriodicalId":53413,"journal":{"name":"JTCVS Techniques","volume":"27 ","pages":"Pages 158-166"},"PeriodicalIF":1.7,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141841214","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-01DOI: 10.1016/j.xjtc.2024.06.017
Desiree Steimer MD, Michael T. Jaklitsch MD, Scott J. Swanson MD
{"title":"The devil is in the details","authors":"Desiree Steimer MD, Michael T. Jaklitsch MD, Scott J. Swanson MD","doi":"10.1016/j.xjtc.2024.06.017","DOIUrl":"10.1016/j.xjtc.2024.06.017","url":null,"abstract":"","PeriodicalId":53413,"journal":{"name":"JTCVS Techniques","volume":"27 ","pages":"Page 168"},"PeriodicalIF":1.7,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142528225","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}