E. Wolf, Chiara Gnasso, U. Schoepf, M. Halfmann, J. O’Doherty, E. Zsarnóczay, A. Varga-Szemes, T. Emrich, N. Fink
To compare intra-individual percentage diameter stenosis (PDS) measurements of coronary artery stenoses between energy-integrating detector computed tomography (EID-CT) and a clinical photon-counting detector computed tomography (PCD-CT) systems using similar acquisition and reconstruction settings.Patients (n = 23, mean age of 65 ± 12.1 years, out of these 16 (69.6%) male) were imaged on a conventional EID- and a clinical PCD-CT system with a median of 5.5 (3.0–12.5) days apart. Sequential CCTA scans were acquired and reconstructed using similar settings, including a vascular Bv36 kernel, a tube voltage of 110 kVp for EID-CT vs 120 kVp for PCD-CT, a slice thickness of 0.5 for EID-CT vs 0.6 for PCD-CT, and an iterative reconstruction strength of 3 on EID-CT vs a virtual monoenergetic reconstruction at 55 keV and quantum iterative reconstruction level of 3 on PCD-CT. Radiation dose, contrast volume, and injection parameters were matched as similarly as possible between the systems. PDS measurements were performed according to the coronary artery disease reporting and data system (CAD-RADS) by two trained readers and compared between the different modalities using the Wilcoxon rank sum test, Spearman correlation, and Bland-Altman analysis.PCD-CT measured significantly lower PDS values than EID-CT [PDSEID-CT: 45.1% (35.1%–64.0%) vs. PDSPCD-CT 44.2% (32.4%–61.0%), P < 0.0001]. This difference led to a mean bias of 1.8 (LoA −3.0/6.5) with an excellent ICC (0.99) value among EID- and PCD-CT. The mean intra-individual deviation between the examinations was 1.8% between the scanners. This led to CAD-RADS re-classification in 3/23 cases (13.0%, new-lower class) for the first reader, and in 4/23 cases (13.0%, new-lower and 4.4%, new-higher class) for the second reader. Inter-reader agreement between the two readers for each stenosis was very strong (ICC = 0.98).Coronary artery stenosis measurements from PCD-CT correlate strongly to EID-CT-based measurements, despite the tendency of the measurement from PCD-CT being lower. This difference led to a change in CAD-RADS classification in 17.4% of patients. The effects on clinical decision-making, downstream testing, and prognosis have to be evaluated in future studies.
{"title":"Intra-individual comparison of coronary artery stenosis measurements between energy-integrating detector CT and photon-counting detector CT","authors":"E. Wolf, Chiara Gnasso, U. Schoepf, M. Halfmann, J. O’Doherty, E. Zsarnóczay, A. Varga-Szemes, T. Emrich, N. Fink","doi":"10.1556/1647.2023.00156","DOIUrl":"https://doi.org/10.1556/1647.2023.00156","url":null,"abstract":"To compare intra-individual percentage diameter stenosis (PDS) measurements of coronary artery stenoses between energy-integrating detector computed tomography (EID-CT) and a clinical photon-counting detector computed tomography (PCD-CT) systems using similar acquisition and reconstruction settings.Patients (n = 23, mean age of 65 ± 12.1 years, out of these 16 (69.6%) male) were imaged on a conventional EID- and a clinical PCD-CT system with a median of 5.5 (3.0–12.5) days apart. Sequential CCTA scans were acquired and reconstructed using similar settings, including a vascular Bv36 kernel, a tube voltage of 110 kVp for EID-CT vs 120 kVp for PCD-CT, a slice thickness of 0.5 for EID-CT vs 0.6 for PCD-CT, and an iterative reconstruction strength of 3 on EID-CT vs a virtual monoenergetic reconstruction at 55 keV and quantum iterative reconstruction level of 3 on PCD-CT. Radiation dose, contrast volume, and injection parameters were matched as similarly as possible between the systems. PDS measurements were performed according to the coronary artery disease reporting and data system (CAD-RADS) by two trained readers and compared between the different modalities using the Wilcoxon rank sum test, Spearman correlation, and Bland-Altman analysis.PCD-CT measured significantly lower PDS values than EID-CT [PDSEID-CT: 45.1% (35.1%–64.0%) vs. PDSPCD-CT 44.2% (32.4%–61.0%), P < 0.0001]. This difference led to a mean bias of 1.8 (LoA −3.0/6.5) with an excellent ICC (0.99) value among EID- and PCD-CT. The mean intra-individual deviation between the examinations was 1.8% between the scanners. This led to CAD-RADS re-classification in 3/23 cases (13.0%, new-lower class) for the first reader, and in 4/23 cases (13.0%, new-lower and 4.4%, new-higher class) for the second reader. Inter-reader agreement between the two readers for each stenosis was very strong (ICC = 0.98).Coronary artery stenosis measurements from PCD-CT correlate strongly to EID-CT-based measurements, despite the tendency of the measurement from PCD-CT being lower. This difference led to a change in CAD-RADS classification in 17.4% of patients. The effects on clinical decision-making, downstream testing, and prognosis have to be evaluated in future studies.","PeriodicalId":34850,"journal":{"name":"Imaging","volume":" ","pages":""},"PeriodicalIF":0.4,"publicationDate":"2023-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44680299","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Herpes zoster ophthalmicus is a viral infection caused by the varicella-zoster virus, affecting the ophthalmic branch of the trigeminal nerve, called the ophthalmic nerve. Herpes zoster ophthalmicus is characterized by a painful rash and blisters on one side of the forehead and around the eye, along with symptoms such as eye redness, tearing, and sensitivity to light, and can also lead to serious complications, such as corneal ulcers, glaucoma, and vision loss, particularly if the eye is involved. Herpes zoster myositis and oculomotor nerve involvement are rare complications of herpes zoster infection. Early diagnosis and treatment, such as antiviral medications, corticosteroids, and pain management, are important to prevent complications and to alleviate symptoms. In our case report we demonstrate the case of an 81-year-old female patient with left sided herpes zoster ophthalmicus, associated with MRI proved orbital myositis and oculomotor nerve involvement. Symptoms were slowly reduced with antiviral therapy. People who develop symptoms of herpes zoster ophthalmicus should seek prompt medical attention to receive appropriate care and to avoid serious complications.
{"title":"Herpes zoster ophthalmicus-induced myositis and oculomotor nerve palsy","authors":"M. Magyar, K. Kecskés","doi":"10.1556/1647.2023.00110","DOIUrl":"https://doi.org/10.1556/1647.2023.00110","url":null,"abstract":"Herpes zoster ophthalmicus is a viral infection caused by the varicella-zoster virus, affecting the ophthalmic branch of the trigeminal nerve, called the ophthalmic nerve. Herpes zoster ophthalmicus is characterized by a painful rash and blisters on one side of the forehead and around the eye, along with symptoms such as eye redness, tearing, and sensitivity to light, and can also lead to serious complications, such as corneal ulcers, glaucoma, and vision loss, particularly if the eye is involved. Herpes zoster myositis and oculomotor nerve involvement are rare complications of herpes zoster infection. Early diagnosis and treatment, such as antiviral medications, corticosteroids, and pain management, are important to prevent complications and to alleviate symptoms. In our case report we demonstrate the case of an 81-year-old female patient with left sided herpes zoster ophthalmicus, associated with MRI proved orbital myositis and oculomotor nerve involvement. Symptoms were slowly reduced with antiviral therapy. People who develop symptoms of herpes zoster ophthalmicus should seek prompt medical attention to receive appropriate care and to avoid serious complications.","PeriodicalId":34850,"journal":{"name":"Imaging","volume":" ","pages":""},"PeriodicalIF":0.4,"publicationDate":"2023-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43079652","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Parathyroid scintigraphy is an imaging technique that uses gamma-emitting radionuclide to locate hyperfunctioning parathyroid glands in patients with hyperparathyroidism. It is valuable for preoperative assessment before parathyroidectomy, which is a curative surgery in most cases of primary hyperparathyroidism and some cases of secondary hyperparathyroidism. There are several different techniques for parathyroid scintigraphy. In general, the scintigraphy is performed with Tc-99m MIBI, a mitochondria-targeting radiotracer. Some techniques also supply the Tc-99m MIBI scintigraphy with thyroid scintigraphy to differentiate between thyroid and parathyroid tissue. Parathyroid scintigraphy can detect primary hyperparathyroidism with a sensitivity of 80% and a specificity of 84%. It can also detect secondary hyperparathyroidism with a sensitivity of 58% and a specificity of 93%. The unique advantage of parathyroid scintigraphy is the ability to identify supernumerary and ectopic parathyroid abnormalities, which can significantly affect surgical planning and outcomes.
{"title":"Visualizing hyperparathyroidism: A pictorial essay of Tc-99m MIBI parathyroid imaging across different etiologies","authors":"Chanittha Buakhao, Sira Vachatimanont","doi":"10.1556/1647.2023.00134","DOIUrl":"https://doi.org/10.1556/1647.2023.00134","url":null,"abstract":"Parathyroid scintigraphy is an imaging technique that uses gamma-emitting radionuclide to locate hyperfunctioning parathyroid glands in patients with hyperparathyroidism. It is valuable for preoperative assessment before parathyroidectomy, which is a curative surgery in most cases of primary hyperparathyroidism and some cases of secondary hyperparathyroidism. There are several different techniques for parathyroid scintigraphy. In general, the scintigraphy is performed with Tc-99m MIBI, a mitochondria-targeting radiotracer. Some techniques also supply the Tc-99m MIBI scintigraphy with thyroid scintigraphy to differentiate between thyroid and parathyroid tissue. Parathyroid scintigraphy can detect primary hyperparathyroidism with a sensitivity of 80% and a specificity of 84%. It can also detect secondary hyperparathyroidism with a sensitivity of 58% and a specificity of 93%. The unique advantage of parathyroid scintigraphy is the ability to identify supernumerary and ectopic parathyroid abnormalities, which can significantly affect surgical planning and outcomes.","PeriodicalId":34850,"journal":{"name":"Imaging","volume":" ","pages":""},"PeriodicalIF":0.4,"publicationDate":"2023-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46594544","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
O. Motamedi, S. Mohebbi, K. Samimi, Mohammad Amin Borjian
Despite improvements in the imaging modalities, the optimal protocol for extracranial facial nerve imaging using 1.5 T MRI is still debatable. Pre-operative mapping of the facial nerve could provide valuable information for surgeons. The current study aimed to evaluate and choose proper 1.5 T MRI protocols for the extracranial segment of facial nerve pre-op imaging.Extracranial facial nerves on the tumoral and normal side of 19 patients (38 nerves) were imaged by 1.5 T MRI, using five sequences including T1-weighted, T2-weighted, T1-weighted-fat-saturated with contrast, Three-dimensional (3D) T1-weighted and 3D T2-weighted. The visibility of each of the three segments of the extracranial facial nerve (the main trunk, cervicofacial and temporofacial divisions and terminal branches) in each sequence was assessed.On the normal side, segments 1 and 2 of the nerve were identifiable in all patients and segment 3 was identifiable in 89.5% of patients in both 3D T1-weighted and 3D T2-weighted sequences. On the tumoral side, segments 1, 2 and 3 were identifiable in 89.5, 84.2 and 68.4% of patients, respectively, in 3D T1-weighted and T2-weighted sequences. 3D sequences showed significant improvement in visualizing extracranial facial nerve and its branches compared to routine T1-weighted and T2-weighted sequences.Our protocol showed favourable results in visualizing the extracranial facial nerve and its branches. We believe the protocol used in this study could be used as a pre-operative facial nerve mapping method using 1.5 T MRI.
尽管成像方式有所改进，但使用1.5 T MRI仍有争议。面神经的术前标测可以为外科医生提供有价值的信息。目前的研究旨在评估和选择合适的1.5 面神经颅外段术前成像的T MRI协议。用1.5 T MRI，使用五个序列，包括T1加权、T2加权、T1加权对比饱和脂肪、三维（3D）T1加权和3D T2加权。评估了每个序列中颅外面神经三段（主干、颈面部和颞面部分区以及终末支）的可见性。在正常侧，在3D T1加权和3D T2加权序列中，所有患者均可识别神经节段1和2，89.5%的患者可识别神经节3。在肿瘤侧，在3D T1加权和T2加权序列中，89.5%、84.2%和68.4%的患者可识别片段1、2和3。与常规T1加权和T2加权序列相比，3D序列在显示颅外面神经及其分支方面显示出显著改善。我们的方案在显示颅外面神经及其分支方面显示了良好的结果。我们相信本研究中使用的方案可以用作术前面部神经标测方法，使用1.5 T MRI。
{"title":"Extracranial facial nerve imaging in parotid surgery candidates. Could 1.5 T MRI be beneficial?","authors":"O. Motamedi, S. Mohebbi, K. Samimi, Mohammad Amin Borjian","doi":"10.1556/1647.2023.00121","DOIUrl":"https://doi.org/10.1556/1647.2023.00121","url":null,"abstract":"Despite improvements in the imaging modalities, the optimal protocol for extracranial facial nerve imaging using 1.5 T MRI is still debatable. Pre-operative mapping of the facial nerve could provide valuable information for surgeons. The current study aimed to evaluate and choose proper 1.5 T MRI protocols for the extracranial segment of facial nerve pre-op imaging.Extracranial facial nerves on the tumoral and normal side of 19 patients (38 nerves) were imaged by 1.5 T MRI, using five sequences including T1-weighted, T2-weighted, T1-weighted-fat-saturated with contrast, Three-dimensional (3D) T1-weighted and 3D T2-weighted. The visibility of each of the three segments of the extracranial facial nerve (the main trunk, cervicofacial and temporofacial divisions and terminal branches) in each sequence was assessed.On the normal side, segments 1 and 2 of the nerve were identifiable in all patients and segment 3 was identifiable in 89.5% of patients in both 3D T1-weighted and 3D T2-weighted sequences. On the tumoral side, segments 1, 2 and 3 were identifiable in 89.5, 84.2 and 68.4% of patients, respectively, in 3D T1-weighted and T2-weighted sequences. 3D sequences showed significant improvement in visualizing extracranial facial nerve and its branches compared to routine T1-weighted and T2-weighted sequences.Our protocol showed favourable results in visualizing the extracranial facial nerve and its branches. We believe the protocol used in this study could be used as a pre-operative facial nerve mapping method using 1.5 T MRI.","PeriodicalId":34850,"journal":{"name":"Imaging","volume":" ","pages":""},"PeriodicalIF":0.4,"publicationDate":"2023-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49481393","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"COVID-19 unilateral pneumonia in a lung transplant recipient","authors":"F. O. Silva, S. Valdoleiros","doi":"10.1556/1647.2023.00119","DOIUrl":"https://doi.org/10.1556/1647.2023.00119","url":null,"abstract":"","PeriodicalId":34850,"journal":{"name":"Imaging","volume":" ","pages":""},"PeriodicalIF":0.4,"publicationDate":"2023-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44804864","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ahmed Harmouche, F. Kövér, Sándor Szukits, T. Dóczi, Péter Bogner, A. Tóth
Since the initial release of the World Wide Web, the capabilities of web browsers have grown from presenting formatted documents to running complex programs, such as 3D game engines. The medical imaging community started to adopt technologies that came with the fifth major version of the HyperText Markup Language (HTML5). It led to the creation of various web-based radiological applications such as cornerstone.js or BrainBrowser. BrainBrowser supports both 3D and 2D rendering of neuroimaging data. However, it cannot run important image processing algorithms, such as brain extraction and linear registration, which are essential in most neuroimaging workflows. The most commonly used library that supports these algorithms is the FMRIB Software Library (FSL). We aim to build a web-based cross-platform neuroimaging platform that combines data visualization with image processing.We built our system as an extension of BrainBrowser. We developed WebMRI in JavaScript and designed the user interface using HTML, CSS, and Bootstrap. We used Emscripten to port the brain extraction and linear registration tools of FSL to the web.We built WebMRI, a fully web-based extensible neuroimaging platform that combines the visualization capabilities of BrainBrowser with the brain extraction and linear registration tools of FSL by porting them from C++ to WebAssembly. We extended BrainBrowser with a plugin system that makes it easy to bring other processing algorithms into the platform. We released the WebMRI source code on Github: https://github.com/wpmed92/WebMRI.We developed and released WebMRI, a web-based cross-platform open-source neuroimaging platform.
{"title":"WebMRI: Brain extraction and linear registration in the web browser","authors":"Ahmed Harmouche, F. Kövér, Sándor Szukits, T. Dóczi, Péter Bogner, A. Tóth","doi":"10.1556/1647.2023.00111","DOIUrl":"https://doi.org/10.1556/1647.2023.00111","url":null,"abstract":"Since the initial release of the World Wide Web, the capabilities of web browsers have grown from presenting formatted documents to running complex programs, such as 3D game engines. The medical imaging community started to adopt technologies that came with the fifth major version of the HyperText Markup Language (HTML5). It led to the creation of various web-based radiological applications such as cornerstone.js or BrainBrowser. BrainBrowser supports both 3D and 2D rendering of neuroimaging data. However, it cannot run important image processing algorithms, such as brain extraction and linear registration, which are essential in most neuroimaging workflows. The most commonly used library that supports these algorithms is the FMRIB Software Library (FSL). We aim to build a web-based cross-platform neuroimaging platform that combines data visualization with image processing.We built our system as an extension of BrainBrowser. We developed WebMRI in JavaScript and designed the user interface using HTML, CSS, and Bootstrap. We used Emscripten to port the brain extraction and linear registration tools of FSL to the web.We built WebMRI, a fully web-based extensible neuroimaging platform that combines the visualization capabilities of BrainBrowser with the brain extraction and linear registration tools of FSL by porting them from C++ to WebAssembly. We extended BrainBrowser with a plugin system that makes it easy to bring other processing algorithms into the platform. We released the WebMRI source code on Github: https://github.com/wpmed92/WebMRI.We developed and released WebMRI, a web-based cross-platform open-source neuroimaging platform.","PeriodicalId":34850,"journal":{"name":"Imaging","volume":" ","pages":""},"PeriodicalIF":0.4,"publicationDate":"2023-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42016814","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-01DOI: 10.1136/heartjnl-2023-bcs.183
A. Kotb, I. Antoun, I. Koev, Armia Ebeid, J. Barker, G. Ng, Hala Sharaf
{"title":"183 Correlation between serum d-dimer testing and computed tomography pulmonary angiography utilisation and diagnostic outcome: a single centre observational study","authors":"A. Kotb, I. Antoun, I. Koev, Armia Ebeid, J. Barker, G. Ng, Hala Sharaf","doi":"10.1136/heartjnl-2023-bcs.183","DOIUrl":"https://doi.org/10.1136/heartjnl-2023-bcs.183","url":null,"abstract":"","PeriodicalId":34850,"journal":{"name":"Imaging","volume":" ","pages":""},"PeriodicalIF":0.4,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43922014","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-01DOI: 10.1136/heartjnl-2023-bcs.174
A. Kaura, C. Yap, Anoop S. V. Shah, Erik Meyer, B. Glampson, Wei Xuan Chan, J. Mayet, D. Papadimitriou
{"title":"174 The diagnostic and prognostic value of left ventricular ejection fraction corrected for myocardial remodelling","authors":"A. Kaura, C. Yap, Anoop S. V. Shah, Erik Meyer, B. Glampson, Wei Xuan Chan, J. Mayet, D. Papadimitriou","doi":"10.1136/heartjnl-2023-bcs.174","DOIUrl":"https://doi.org/10.1136/heartjnl-2023-bcs.174","url":null,"abstract":"","PeriodicalId":34850,"journal":{"name":"Imaging","volume":" ","pages":""},"PeriodicalIF":0.4,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49011769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-01DOI: 10.1136/heartjnl-2023-bcs.170
G. Matthews, C. Grafton-Clarke, A. Swift, A. Ryding, Hosamadin Assadi, P. Garg, Rui Li, Z. Mehmood, C. Sawh, R. Gosling, S. Alabed
{"title":"170 Non-invasive assessment of stroke work using cardiac magnetic resonance imaging","authors":"G. Matthews, C. Grafton-Clarke, A. Swift, A. Ryding, Hosamadin Assadi, P. Garg, Rui Li, Z. Mehmood, C. Sawh, R. Gosling, S. Alabed","doi":"10.1136/heartjnl-2023-bcs.170","DOIUrl":"https://doi.org/10.1136/heartjnl-2023-bcs.170","url":null,"abstract":"","PeriodicalId":34850,"journal":{"name":"Imaging","volume":" ","pages":""},"PeriodicalIF":0.4,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45721807","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-01DOI: 10.1136/heartjnl-2023-bcs.189
Abdulrahman Kolapo, Raja Yogesh, M. Baig
{"title":"189 Clinical utility of fractional flow reserve-computed tomography in the management of patients with chest pain: experience from a district general hospital in the north-east of england","authors":"Abdulrahman Kolapo, Raja Yogesh, M. Baig","doi":"10.1136/heartjnl-2023-bcs.189","DOIUrl":"https://doi.org/10.1136/heartjnl-2023-bcs.189","url":null,"abstract":"","PeriodicalId":34850,"journal":{"name":"Imaging","volume":" ","pages":""},"PeriodicalIF":0.4,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44547040","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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