Purpose: To investigate the imaging performance and parametric analysis of magnetic resonance imaging (MRI) immediately after microwave ablation (MWA) of lung malignancies.
Materials and methods: We retrospectively analyzed the MRI performance immediately after MWA of 34 cases of lung malignancies. The ablation zone parameters of lung malignancies were measured, including the long diameter (L), short diameter (S), and safety margin of the ablation zone on plain computed tomography (CT), T1-weighted imaging (T1WI), and T2-weighted imaging (T2WI) after MWA. The study calculated the tumor volume (V 0 ), the ablation zone volume (V 1 ), and the ratio of V 0 to V 1 (V%). Statistical differences between the parameters were analyzed.
Results: The ablation area of the lesion exhibited central low signal and peripheral high signal on T2WI, central high signal and peripheral equal or high signal on T1WI, and circumferential enhancement in the periphery. The safety margin measured on T2WI was greater than that measured on plain CT and T1WI. On plain CT, the L, S, and V 1 were smaller in the effective treatment group than in the ineffective treatment group ( P <0.05). On T1WI, the V% and safety margin were greater in the effective treatment group than in the ineffective treatment group ( P =0.009 and P =0.016, respectively).
Conclusions: MRI may be a new, valuable method to assess immediate efficacy after MWA for lung malignancies using the ablation zone parameters V% on T1WI and safety margin on T2WI.
{"title":"The Value of Magnetic Resonance Imaging in Assessing Immediate Efficacy After Microwave Ablation of Lung Malignancies.","authors":"Fandong Zhu, Chen Yang, Jianyun Wang, Tong Zhou, Qianling Li, Subo Wang, Zhenhua Zhao","doi":"10.1097/RTI.0000000000000797","DOIUrl":"10.1097/RTI.0000000000000797","url":null,"abstract":"<p><strong>Purpose: </strong>To investigate the imaging performance and parametric analysis of magnetic resonance imaging (MRI) immediately after microwave ablation (MWA) of lung malignancies.</p><p><strong>Materials and methods: </strong>We retrospectively analyzed the MRI performance immediately after MWA of 34 cases of lung malignancies. The ablation zone parameters of lung malignancies were measured, including the long diameter (L), short diameter (S), and safety margin of the ablation zone on plain computed tomography (CT), T1-weighted imaging (T1WI), and T2-weighted imaging (T2WI) after MWA. The study calculated the tumor volume (V 0 ), the ablation zone volume (V 1 ), and the ratio of V 0 to V 1 (V%). Statistical differences between the parameters were analyzed.</p><p><strong>Results: </strong>The ablation area of the lesion exhibited central low signal and peripheral high signal on T2WI, central high signal and peripheral equal or high signal on T1WI, and circumferential enhancement in the periphery. The safety margin measured on T2WI was greater than that measured on plain CT and T1WI. On plain CT, the L, S, and V 1 were smaller in the effective treatment group than in the ineffective treatment group ( P <0.05). On T1WI, the V% and safety margin were greater in the effective treatment group than in the ineffective treatment group ( P =0.009 and P =0.016, respectively).</p><p><strong>Conclusions: </strong>MRI may be a new, valuable method to assess immediate efficacy after MWA for lung malignancies using the ablation zone parameters V% on T1WI and safety margin on T2WI.</p>","PeriodicalId":49974,"journal":{"name":"Journal of Thoracic Imaging","volume":" ","pages":"392-398"},"PeriodicalIF":1.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11495527/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141635553","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
We present a non-smoker woman in her 40s with PLCH who presented with atypical imaging findings of multiple pulmonary noncavitary nodules without air cysts with repeated waxing and waning.
{"title":"A Case of Nonsmoker Pulmonary Langerhans Cell Histiocytosis With Multiple Pulmonary Nodules Disappeared and Appeared.","authors":"Midori Ueno, Haruka Oku, Yo Todoroki, Yu Murakami, Yoshiko Hayashida, Kei Yamasaki, Kazuhiro Yatera, Eisuke Katafuchi, Shohei Shimajiri, Takatoshi Aoki","doi":"10.1097/RTI.0000000000000810","DOIUrl":"10.1097/RTI.0000000000000810","url":null,"abstract":"<p><p>We present a non-smoker woman in her 40s with PLCH who presented with atypical imaging findings of multiple pulmonary noncavitary nodules without air cysts with repeated waxing and waning.</p>","PeriodicalId":49974,"journal":{"name":"Journal of Thoracic Imaging","volume":"39 6","pages":"W104-W107"},"PeriodicalIF":1.9,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142512038","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-01Epub Date: 2023-12-21DOI: 10.1097/RTI.0000000000000770
Faisal Jamal, Kumar Shashi, Nuno Vaz, Tracy Doyle, Paul Dellaripa, Mark Hammer
{"title":"Quantitative Chest Computed Tomography for Progression of Interstitial Lung Disease in Antisynthetase Patients.","authors":"Faisal Jamal, Kumar Shashi, Nuno Vaz, Tracy Doyle, Paul Dellaripa, Mark Hammer","doi":"10.1097/RTI.0000000000000770","DOIUrl":"10.1097/RTI.0000000000000770","url":null,"abstract":"","PeriodicalId":49974,"journal":{"name":"Journal of Thoracic Imaging","volume":" ","pages":"281-284"},"PeriodicalIF":1.9,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138832729","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-01Epub Date: 2024-03-08DOI: 10.1097/RTI.0000000000000778
Raquelle El Alam, Mark M Hammer, Suzanne C Byrne
Purpose: Delays to biopsy and surgery after lung nodule detection can impact survival from lung cancer. The aim of this study was to identify factors associated with delay in a lung cancer screening (LCS) program.
Materials and methods: We evaluated patients in an LCS program from May 2015 through October 2021 with a malignant lung nodule classified as lung CT screening reporting and data system (Lung-RADS) 4B/4X. A cutoff of more than 30 days between screening computed tomography (CT) and first tissue sampling and a cutoff of more than 60 days between screening CT and surgery were considered delayed. We evaluated the relationship between delays to first tissue sampling and surgery and patient sex, age, race, smoking status, median income by zip code, language, Lung-RADS category, and site of surgery (academic vs community hospital).
Results: A total of 185 lung cancers met the inclusion criteria, of which 150 underwent surgical resection. The median time from LCS CT to first tissue sampling was 42 days, and the median time from CT to surgery was 52 days. 127 (69%) patients experienced a first tissue sampling delay and 60 (40%) had a surgical delay. In multivariable analysis, active smoking status was associated with delay to first tissue sampling (odds ratio: 3.0, CI: 1.4-6.6, P = 0.005). Only performing enhanced diagnostic CT of the chest before surgery was associated with delayed lung cancer surgery (odds ratio: 30, CI: 3.6-252, P = 0.02). There was no statistically significant difference in delays with patients' sex, age, race, language, or Lung-RADS category.
Conclusion: Delays to first tissue sampling and surgery in a LCS program were associated with current smoking and performing diagnostic CT before surgery.
{"title":"Factors Associated With Delay in Lung Cancer Diagnosis and Surgery in a Lung Cancer Screening Program.","authors":"Raquelle El Alam, Mark M Hammer, Suzanne C Byrne","doi":"10.1097/RTI.0000000000000778","DOIUrl":"10.1097/RTI.0000000000000778","url":null,"abstract":"<p><strong>Purpose: </strong>Delays to biopsy and surgery after lung nodule detection can impact survival from lung cancer. The aim of this study was to identify factors associated with delay in a lung cancer screening (LCS) program.</p><p><strong>Materials and methods: </strong>We evaluated patients in an LCS program from May 2015 through October 2021 with a malignant lung nodule classified as lung CT screening reporting and data system (Lung-RADS) 4B/4X. A cutoff of more than 30 days between screening computed tomography (CT) and first tissue sampling and a cutoff of more than 60 days between screening CT and surgery were considered delayed. We evaluated the relationship between delays to first tissue sampling and surgery and patient sex, age, race, smoking status, median income by zip code, language, Lung-RADS category, and site of surgery (academic vs community hospital).</p><p><strong>Results: </strong>A total of 185 lung cancers met the inclusion criteria, of which 150 underwent surgical resection. The median time from LCS CT to first tissue sampling was 42 days, and the median time from CT to surgery was 52 days. 127 (69%) patients experienced a first tissue sampling delay and 60 (40%) had a surgical delay. In multivariable analysis, active smoking status was associated with delay to first tissue sampling (odds ratio: 3.0, CI: 1.4-6.6, P = 0.005). Only performing enhanced diagnostic CT of the chest before surgery was associated with delayed lung cancer surgery (odds ratio: 30, CI: 3.6-252, P = 0.02). There was no statistically significant difference in delays with patients' sex, age, race, language, or Lung-RADS category.</p><p><strong>Conclusion: </strong>Delays to first tissue sampling and surgery in a LCS program were associated with current smoking and performing diagnostic CT before surgery.</p>","PeriodicalId":49974,"journal":{"name":"Journal of Thoracic Imaging","volume":" ","pages":"293-297"},"PeriodicalIF":1.9,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11341261/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140061031","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-09-01Epub Date: 2023-12-28DOI: 10.1097/RTI.0000000000000771
Yu Zheng, Na Han, Wenjing Huang, Yanli Jiang, Jing Zhang
Purpose: To explore and compare the diagnostic values of mono-exponential, bi-exponential, and stretched-exponential diffusion-weighted imaging (DWI) parameters of primary lesions and lymph nodes (LNs) to predict mediastinal LN metastasis in patients with non-small cell lung cancer.
Patients and methods: Sixty-one patients with non-small cell lung cancer underwent preoperative magnetic resonance imaging, including multiple b -value DWI. The DWI parameters, including apparent diffusion coefficient (ADC) from a mono-exponential model, true diffusion (D) coefficient, pseudo-diffusion (D*) coefficient, and perfusion fraction (f) from a bi-exponential model, distributed diffusion coefficient (DDC) and intravoxel diffusion heterogeneity index (α) from a stretched-exponential model of primary tumors and LNs and the size characteristics of LNs, were measured and compared. Multivariate logistic regression analysis was used to establish models for predicting mediastinal LN metastasis. Receiver operating characteristic analysis was applied to evaluate diagnostic performances.
Results: The DWI parameters of primary tumors showed no statistical significance between LN metastasis-positive and LN metastasis-negative groups. Nonmetastatic LNs had significantly higher ADC, D, DDC, and α values compared with metastatic LNs (all P < 0.05). The short-dimension, long-dimension, and short-long dimension ratio of metastatic LNs was significantly larger than those of nonmetastatic ones (all P < 0.05). The D value showed the best diagnostic performance among all DWI-derived single parameters, and the short dimension of LNs performed the same among all the size variables. Furthermore, the combination of DWI parameters (ADC and D) and the short dimension of LNs can significantly improve diagnostic efficiency.
Conclusions: The ADC, D, DDC, and α from the mono-exponential, bi-exponential, and stretched-exponential models were demonstrated efficient in differentiating benign from metastatic LNs, and the combination of ADC, D, and short dimension of LNs may have a better diagnostic performance than DWI or size-derived parameters either in combination or individually.
{"title":"Evaluating Mediastinal Lymph Node Metastasis of Non-Small Cell Lung Cancer Using Mono-exponential, Bi-exponential, and Stretched-exponential Models of Diffusion-weighted Imaging.","authors":"Yu Zheng, Na Han, Wenjing Huang, Yanli Jiang, Jing Zhang","doi":"10.1097/RTI.0000000000000771","DOIUrl":"10.1097/RTI.0000000000000771","url":null,"abstract":"<p><strong>Purpose: </strong>To explore and compare the diagnostic values of mono-exponential, bi-exponential, and stretched-exponential diffusion-weighted imaging (DWI) parameters of primary lesions and lymph nodes (LNs) to predict mediastinal LN metastasis in patients with non-small cell lung cancer.</p><p><strong>Patients and methods: </strong>Sixty-one patients with non-small cell lung cancer underwent preoperative magnetic resonance imaging, including multiple b -value DWI. The DWI parameters, including apparent diffusion coefficient (ADC) from a mono-exponential model, true diffusion (D) coefficient, pseudo-diffusion (D*) coefficient, and perfusion fraction (f) from a bi-exponential model, distributed diffusion coefficient (DDC) and intravoxel diffusion heterogeneity index (α) from a stretched-exponential model of primary tumors and LNs and the size characteristics of LNs, were measured and compared. Multivariate logistic regression analysis was used to establish models for predicting mediastinal LN metastasis. Receiver operating characteristic analysis was applied to evaluate diagnostic performances.</p><p><strong>Results: </strong>The DWI parameters of primary tumors showed no statistical significance between LN metastasis-positive and LN metastasis-negative groups. Nonmetastatic LNs had significantly higher ADC, D, DDC, and α values compared with metastatic LNs (all P < 0.05). The short-dimension, long-dimension, and short-long dimension ratio of metastatic LNs was significantly larger than those of nonmetastatic ones (all P < 0.05). The D value showed the best diagnostic performance among all DWI-derived single parameters, and the short dimension of LNs performed the same among all the size variables. Furthermore, the combination of DWI parameters (ADC and D) and the short dimension of LNs can significantly improve diagnostic efficiency.</p><p><strong>Conclusions: </strong>The ADC, D, DDC, and α from the mono-exponential, bi-exponential, and stretched-exponential models were demonstrated efficient in differentiating benign from metastatic LNs, and the combination of ADC, D, and short dimension of LNs may have a better diagnostic performance than DWI or size-derived parameters either in combination or individually.</p>","PeriodicalId":49974,"journal":{"name":"Journal of Thoracic Imaging","volume":" ","pages":"285-292"},"PeriodicalIF":1.9,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139049671","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-01Epub Date: 2024-06-24DOI: 10.1097/RTI.0000000000000796
{"title":"Society of Thoracic Radiology Abstracts from the 2024 Annual Meeting February 24th-28th, 2024.","authors":"","doi":"10.1097/RTI.0000000000000796","DOIUrl":"https://doi.org/10.1097/RTI.0000000000000796","url":null,"abstract":"","PeriodicalId":49974,"journal":{"name":"Journal of Thoracic Imaging","volume":"39 4","pages":"W48-W95"},"PeriodicalIF":2.0,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141443665","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-01Epub Date: 2024-06-24DOI: 10.1097/RTI.0000000000000796
{"title":"Society of Thoracic Radiology Abstracts from the 2024 Annual Meeting February 24th-28th, 2024.","authors":"","doi":"10.1097/RTI.0000000000000796","DOIUrl":"https://doi.org/10.1097/RTI.0000000000000796","url":null,"abstract":"","PeriodicalId":49974,"journal":{"name":"Journal of Thoracic Imaging","volume":"39 4","pages":"W48-W95"},"PeriodicalIF":1.9,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144790586","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-01Epub Date: 2024-02-22DOI: 10.1097/RTI.0000000000000776
Babak Salam, Baravan Al-Kassou, Leonie Weinhold, Alois M Sprinkart, Sebastian Nowak, Maike Theis, Matthias Schmid, Muntadher Al Zaidi, Marcel Weber, Claus C Pieper, Daniel Kuetting, Jasmin Shamekhi, Georg Nickenig, Ulrike Attenberger, Sebastian Zimmer, Julian A Luetkens
Purpose: Inflammatory changes in epicardial (EAT) and pericardial adipose tissue (PAT) are associated with increased overall cardiovascular risk. Using routine, preinterventional cardiac CT data, we examined the predictive value of quantity and quality of EAT and PAT for outcome after transcatheter aortic valve replacement (TAVR).
Materials and methods: Cardiac CT data of 1197 patients who underwent TAVR at the in-house heart center between 2011 and 2020 were retrospectively analyzed. The amount and density of EAT and PAT were quantified from single-slice CT images at the level of the aortic valve. Using established risk scores and known independent risk factors, a clinical benchmark model (BMI, Chronic kidney disease stage, EuroSCORE 2, STS Prom, year of intervention) for outcome prediction (2-year mortality) after TAVR was established. Subsequently, we tested whether the additional inclusion of area and density values of EAT and PAT in the clinical benchmark model improved prediction. For this purpose, the cohort was divided into a training (n=798) and a test cohort (n=399).
Results: Within the 2-year follow-up, 264 patients died. In the training cohort, particularly the addition of EAT density to the clinical benchmark model showed a significant association with outcome (hazard ratio 1.04, 95% CI: 1.01-1.07; P =0.013). In the test cohort, the outcome prediction of the clinical benchmark model was also significantly improved with the inclusion of EAT density (c-statistic: 0.589 vs. 0.628; P =0.026).
Conclusions: EAT density as a surrogate marker of EAT inflammation was associated with 2-year mortality after TAVR and may improve outcome prediction independent of established risk parameters.
{"title":"CT-derived Epicardial Adipose Tissue Inflammation Predicts Outcome in Patients Undergoing Transcatheter Aortic Valve Replacement.","authors":"Babak Salam, Baravan Al-Kassou, Leonie Weinhold, Alois M Sprinkart, Sebastian Nowak, Maike Theis, Matthias Schmid, Muntadher Al Zaidi, Marcel Weber, Claus C Pieper, Daniel Kuetting, Jasmin Shamekhi, Georg Nickenig, Ulrike Attenberger, Sebastian Zimmer, Julian A Luetkens","doi":"10.1097/RTI.0000000000000776","DOIUrl":"10.1097/RTI.0000000000000776","url":null,"abstract":"<p><strong>Purpose: </strong>Inflammatory changes in epicardial (EAT) and pericardial adipose tissue (PAT) are associated with increased overall cardiovascular risk. Using routine, preinterventional cardiac CT data, we examined the predictive value of quantity and quality of EAT and PAT for outcome after transcatheter aortic valve replacement (TAVR).</p><p><strong>Materials and methods: </strong>Cardiac CT data of 1197 patients who underwent TAVR at the in-house heart center between 2011 and 2020 were retrospectively analyzed. The amount and density of EAT and PAT were quantified from single-slice CT images at the level of the aortic valve. Using established risk scores and known independent risk factors, a clinical benchmark model (BMI, Chronic kidney disease stage, EuroSCORE 2, STS Prom, year of intervention) for outcome prediction (2-year mortality) after TAVR was established. Subsequently, we tested whether the additional inclusion of area and density values of EAT and PAT in the clinical benchmark model improved prediction. For this purpose, the cohort was divided into a training (n=798) and a test cohort (n=399).</p><p><strong>Results: </strong>Within the 2-year follow-up, 264 patients died. In the training cohort, particularly the addition of EAT density to the clinical benchmark model showed a significant association with outcome (hazard ratio 1.04, 95% CI: 1.01-1.07; P =0.013). In the test cohort, the outcome prediction of the clinical benchmark model was also significantly improved with the inclusion of EAT density (c-statistic: 0.589 vs. 0.628; P =0.026).</p><p><strong>Conclusions: </strong>EAT density as a surrogate marker of EAT inflammation was associated with 2-year mortality after TAVR and may improve outcome prediction independent of established risk parameters.</p>","PeriodicalId":49974,"journal":{"name":"Journal of Thoracic Imaging","volume":" ","pages":"224-231"},"PeriodicalIF":1.9,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139933833","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Purpose: The purpose of this study was to assess the efficiency and safety of computed tomography (CT)-guided percutaneous biopsy of lung lesions with electromagnetic (EM) navigation and compare them with those of conventional approaches.
Materials and methods: Seventy-nine patients with lung or liver lesions who needed biopsies were enrolled in this trial. All patients were randomly assigned to the E group underwent CT-guided percutaneous biopsies with the EM navigation system or to the C group treated with conventional approaches.
Results: In total, 27 patients with lung lesions were assigned to the E group, and 20 patients were assigned to the C group. The diagnostic success rate was 92.6% and 95% in both groups, respectively ( P >0.9999). The median number of needle repositions in the E group was less than that in the C group (2.0 vs. 2.5, P =0.03). The positioning success rate with 1 or 2 needle repositions for the E group was significantly higher than the C group (81.5% vs. 50%, P =0.03). The median accuracy of the puncture location in the E group was better than that in the C group (2.0 vs. 6.6 mm, P <0.0001). The total procedure time lengthened in the E group compared with the C group (30.5±1.6 vs. 18.3±1.7 min, P <0.0001), but the number of CT acquisitions was not significantly different ( P =0.08). There was no significant difference in complication incidence between the 2 groups ( P =0.44).
Conclusion: The EM navigation system is an effective and safe auxiliary tool for CT-guided percutaneous lung biopsy, but lengthen the procedure time.
目的:本研究的目的是评估电磁(EM)导航下计算机断层扫描(CT)引导下经皮肺组织活检的有效性和安全性,并与传统方法进行比较。材料和方法:本试验纳入了79例需要活检的肺或肝病变患者。所有患者被随机分配到E组,在EM导航系统下进行ct引导下的经皮活检,C组采用常规方法治疗。结果:共有27例肺部病变患者被分为E组,20例患者被分为C组。两组诊断成功率分别为92.6%和95% (P < 0.05)。E组的中位换针次数少于C组(2.0 vs. 2.5, P=0.03)。E组复位1、2针的定位成功率明显高于C组(81.5% vs. 50%, P=0.03)。E组穿刺位置的中位精度优于C组(2.0 vs. 6.6 mm)。结论:EM导航系统是ct引导下经皮肺活检有效、安全的辅助工具,但会延长手术时间。试验注册:ChiCTR2100043361,注册于2021年2月9日-回顾性注册(http://www.medresman.org.cn/uc/project/projectedit.aspx?proj=7591)。
{"title":"Computed Tomography-guided Percutaneous Lung Biopsy With Electromagnetic Navigation Compared With Conventional Approaches: An Open-label, Randomized Controlled Trial.","authors":"Qin Liu, Xiaoxia Guo, Ziyin Wang, Hao Xu, Wei Huang, Jingjing Liu, Zhongmin Wang, Fuhua Yan, Zhiyuan Wu, Xiaoyi Ding","doi":"10.1097/RTI.0000000000000763","DOIUrl":"10.1097/RTI.0000000000000763","url":null,"abstract":"<p><strong>Purpose: </strong>The purpose of this study was to assess the efficiency and safety of computed tomography (CT)-guided percutaneous biopsy of lung lesions with electromagnetic (EM) navigation and compare them with those of conventional approaches.</p><p><strong>Materials and methods: </strong>Seventy-nine patients with lung or liver lesions who needed biopsies were enrolled in this trial. All patients were randomly assigned to the E group underwent CT-guided percutaneous biopsies with the EM navigation system or to the C group treated with conventional approaches.</p><p><strong>Results: </strong>In total, 27 patients with lung lesions were assigned to the E group, and 20 patients were assigned to the C group. The diagnostic success rate was 92.6% and 95% in both groups, respectively ( P >0.9999). The median number of needle repositions in the E group was less than that in the C group (2.0 vs. 2.5, P =0.03). The positioning success rate with 1 or 2 needle repositions for the E group was significantly higher than the C group (81.5% vs. 50%, P =0.03). The median accuracy of the puncture location in the E group was better than that in the C group (2.0 vs. 6.6 mm, P <0.0001). The total procedure time lengthened in the E group compared with the C group (30.5±1.6 vs. 18.3±1.7 min, P <0.0001), but the number of CT acquisitions was not significantly different ( P =0.08). There was no significant difference in complication incidence between the 2 groups ( P =0.44).</p><p><strong>Conclusion: </strong>The EM navigation system is an effective and safe auxiliary tool for CT-guided percutaneous lung biopsy, but lengthen the procedure time.</p><p><strong>Trial registration: </strong>ChiCTR2100043361, registered February 9, 2021-retrospectively registered ( http://www.medresman.org.cn/uc/project/projectedit.aspx?proj=7591 ).</p>","PeriodicalId":49974,"journal":{"name":"Journal of Thoracic Imaging","volume":" ","pages":"247-254"},"PeriodicalIF":1.9,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138048326","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-01Epub Date: 2023-11-01DOI: 10.1097/RTI.0000000000000761
Riccardo Cau, Giuseppe Muscogiuri, Vitanio Palmisano, Michele Porcu, Alessandra Pintus, Roberta Montisci, Lorenzo Mannelli, Jasjit S Suri, Marco Francone, Luca Saba
Objectives: The purpose of this study was to investigate the base-to-apex gradient strain pattern as a noncontrast cardiovascular magnetic resonance (CMR) parameter in patients with Takotsubo cardiomyopathy (TTC) and determine whether this pattern may help discriminate TTC from patients with anterior myocardial infarction (AMI).
Materials and methods: A total of 80 patients were included in the analysis: 30 patients with apical ballooning TTC and 50 patients with AMI. Global and regional ventricular function, including longitudinal (LS), circumferential (CS), and radial strain (RS), were assessed using CMR. The base-to-apex LS, RS, and CS gradients, defined as the peak gradient difference between averaged basal and apical strain, were calculated.
Results: The base-to-apex RS gradient was impaired in TTC patients compared with the AMI group (14.04 ± 15.50 vs. -0.43 ± 11.59, P =0.001). Conversely, there were no significant differences in the base-to-apex LS and CS gradients between the AMI group and TTC patients (0.14 ± 2.71 vs. -1.5 ± 3.69, P =0.054: -0.99 ± 6.49 vs. ±1.4 ± 5.43, P =0.47, respectively). Beyond the presence and extension of LGE, base-to-apex RS gradient was the only independent discriminator between TTC and AMI (OR 1.28; 95% CI 1.08, 1.52, P =0.006) in multivariate logistic regression analysis.
Conclusion: The findings of this study suggest that the pattern of regional myocardial strain impairment could serve as an additional noncontrast CMR tool to refine the diagnosis of TTC. A pronounced base-to-apex RS gradient may be a specific left ventricle strain pattern of TTC.
{"title":"Base-to-apex Gradient Pattern Assessed by Cardiovascular Magnetic Resonance in Takotsubo Cardiomyopathy.","authors":"Riccardo Cau, Giuseppe Muscogiuri, Vitanio Palmisano, Michele Porcu, Alessandra Pintus, Roberta Montisci, Lorenzo Mannelli, Jasjit S Suri, Marco Francone, Luca Saba","doi":"10.1097/RTI.0000000000000761","DOIUrl":"10.1097/RTI.0000000000000761","url":null,"abstract":"<p><strong>Objectives: </strong>The purpose of this study was to investigate the base-to-apex gradient strain pattern as a noncontrast cardiovascular magnetic resonance (CMR) parameter in patients with Takotsubo cardiomyopathy (TTC) and determine whether this pattern may help discriminate TTC from patients with anterior myocardial infarction (AMI).</p><p><strong>Materials and methods: </strong>A total of 80 patients were included in the analysis: 30 patients with apical ballooning TTC and 50 patients with AMI. Global and regional ventricular function, including longitudinal (LS), circumferential (CS), and radial strain (RS), were assessed using CMR. The base-to-apex LS, RS, and CS gradients, defined as the peak gradient difference between averaged basal and apical strain, were calculated.</p><p><strong>Results: </strong>The base-to-apex RS gradient was impaired in TTC patients compared with the AMI group (14.04 ± 15.50 vs. -0.43 ± 11.59, P =0.001). Conversely, there were no significant differences in the base-to-apex LS and CS gradients between the AMI group and TTC patients (0.14 ± 2.71 vs. -1.5 ± 3.69, P =0.054: -0.99 ± 6.49 vs. ±1.4 ± 5.43, P =0.47, respectively). Beyond the presence and extension of LGE, base-to-apex RS gradient was the only independent discriminator between TTC and AMI (OR 1.28; 95% CI 1.08, 1.52, P =0.006) in multivariate logistic regression analysis.</p><p><strong>Conclusion: </strong>The findings of this study suggest that the pattern of regional myocardial strain impairment could serve as an additional noncontrast CMR tool to refine the diagnosis of TTC. A pronounced base-to-apex RS gradient may be a specific left ventricle strain pattern of TTC.</p>","PeriodicalId":49974,"journal":{"name":"Journal of Thoracic Imaging","volume":" ","pages":"217-223"},"PeriodicalIF":1.9,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71415046","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}