Journal articles: 'CT-Thorax'

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Mannion, Paddy. "CT of the thorax." Companion Animal 14, no. 9 (November 2009): 42–46. http://dx.doi.org/10.1111/j.2044-3862.2009.tb00426.x.

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Proto, Anthony V., and Raymond C. Rost. "CT OF THE THORAX." RadioGraphics 5, no. 5 (September 1985): 693–812. http://dx.doi.org/10.1148/radiographics.5.5.693.

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Truong, Mylene T., Chitra Viswanathan, Brett W. Carter, Osama Mawlawi, and Edith M. Marom. "PET/CT in the Thorax." Radiologic Clinics of North America 52, no. 1 (January 2014): 17–25. http://dx.doi.org/10.1016/j.rcl.2013.08.005.

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Costello, Philip. "Spiral CT of the thorax." Seminars in Ultrasound, CT and MRI 15, no. 2 (April 1994): 90–106. http://dx.doi.org/10.1016/s0887-2171(05)80092-7.

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Saputri, Lutfiana Desy, Budi Santoso, Agung Nugroho Oktavianto, and Febria Anita. "Analisis Dosis Serap CT Scan Thorax Dengan Computed Tomography Dose Index Dan Thermoluminescence Dosimeter." Jurnal Ilmiah Giga 20, no. 1 (March 20, 2019): 10. http://dx.doi.org/10.47313/jig.v20i1.546.

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Pemeriksaan CT scan thorax banyak digunakan dirumah sakit untuk mengetahui penyakit atau kelainan yang terdapat pada mediastinum atau paru-paru. Selama scanning, pasien mendapatkan radiasi pada pesawat CT scan. Perkiraan dosis yang diterima pasien sudah ada pada layar monitor yaitu nilai CTDI, namun untuk mengetahui dosis sebenarnya yang diterima pasien maka perlu pengukuran langsung menggunakan TLD yang ditempelkan pada tubuh pasien selama proses scanning. Tujuan penelitian ini adalah untuk mengetahui besarnya dosis yang diterima pasien selama CT scan thorax, membandingkan besar dosis yang diterima pasien dengan menggunakan TLD dan nilai CTDI yang tertera pada layar monitor selama CT scan thorax, mengetahui hasil ukur dosis masih dalam batas panduan monitor selama CT scan yang ditetapkan atau tidak, mengetahui hubungan antara hasil ukur dosis dengan DLP pada pasien selama CT Scan thorax. Penelitian diawali dengan pengukuran konsistensi keluaran tegangan tabung sinar-X (kVp Output). Lalu dilakukan pengukuran dosis radiasi pada area thorax dengan menggunakan chips TLD-100 yang ditempelkan pada permukaan area thorax terhadap 9 pasien yang berbeda-beda. Chips TLD-100 ditempelkan pada 3 titik yaitu caput humerus kanan, caput humerus kiri, dan sternum. Hasil penelitian menunjukkan bahwa (1) besarnya dosis radiasi yang diterima pasien selama CT scan thorax sebesar 16,19 mGy sampai dengan 27,66 mGy. (2) prosentasi perbedaan hasil ukur terhadap CTDI vol sebesar 0,06%-70,74%, adanya perbedaan rerata dosis pada tiga titik pengukuran yaitu caput humerus kanan sebesar 17,6 mGy, caput humerus kiri sebesar 16,52 mGy, dan sternum sebesar 25,4 mGy. (3) penerimaan dosis rata-rata pasien pada CT Scan thorax masih dalam batas panduan dosis CT scan yang ditetapkan oleh European Commission, yaitu sebesar 30 mGyuntuk CT thorax rutin, namun nilai DLP yang didapatkan berada diatas panduan dosis yang ditetapkan. (4) hasil ukur dosis berbanding lurus dengan DLP ( dose length ProduCT) yang diterima pasien.

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Tarver, Robert D. "CT AND MRI OF THE THORAX." Chest 100, no. 1 (July 1991): A—22. http://dx.doi.org/10.1016/s0012-3692(16)37458-x.

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Boiselle, Phillip M. "Multislice helical CT of the thorax." Radiologic Clinics of North America 41, no. 3 (May 2003): xi—xii. http://dx.doi.org/10.1016/s0033-8389(03)00037-x.

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Jung, Christian, Alexander Pfeil, and Andreas Hansch. "Ungewöhnlicher (Be-)Fund im Thorax-CT." MMW - Fortschritte der Medizin 153, no. 13 (April 2011): 5. http://dx.doi.org/10.1007/bf03368041.

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Mulcahy, Paul. "CT and MRI of the Thorax." Radiology 181, no. 2 (November 1991): 384. http://dx.doi.org/10.1148/radiology.181.2.384.

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Gilman, Matthew D., Alan J. Fischman, Vikram Krishnasetty, Elkan F. Halpern, and Suzanne L. Aquino. "Hybrid PET/CT of the Thorax." Journal of Computer Assisted Tomography 31, no. 3 (May 2007): 395–401. http://dx.doi.org/10.1097/01.rct.0000237817.18678.9c.

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Pannu, A. K., K. P. K. Aditya, M. H. Dodamani, K. A. Ary, R. Kumar, V. Suri, and S. Kumari. "CT thorax miliary pattern–our differential." QJM: An International Journal of Medicine 111, no. 11 (August 24, 2018): 819–20. http://dx.doi.org/10.1093/qjmed/hcy185.

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Jung, Christian, Alexander Pfeil, and Andreas Hansch. "Ungewöhnlicher (Be-)Fund im Thorax-CT." Pneumo News 5, no. 3 (June 2011): 5. http://dx.doi.org/10.1007/bf03364442.

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Bach, Bianca. "Thorax-CT schon bei Sklerodermie-Diagnose." CME 18, no. 7-8 (August 2021): 19. http://dx.doi.org/10.1007/s11298-021-2107-y.

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GAN, YING SHEN, AKMAL SABARUDIN, HAMZAINI ABDUL HAMID, KHADIJAH MOHAMAD NASSIR, MAZLI MOHD ZAIN, and MUHAMMAD KHALIS ABDUL KARIM. "Radiation Dose Comparison in CT Thorax, CT Abdomen and CT Thorax-AbdomenPelvis (TAP) Using 640-and 160-Slice Computed Tomography (CT) Scanners." Jurnal Sains Kesihatan Malaysia 18, no. 01 (January 15, 2020): 29–36. http://dx.doi.org/10.17576/jskm-2020-1801-05.

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Brennan, Christopher Anthony, Brian Morrissey, Sylvie Dubois-Marshall, Dympna McAteer, Abdul Qadir, and George Ramsay. "Assessing the role of the universal addition of CT thorax to CT abdomen and pelvis in the COVID era. A retrospective multicentre cohort study." BJR|Open 2, no. 1 (November 2020): 20200044. http://dx.doi.org/10.1259/bjro.20200044.

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Objective: The SARS-CoV2 infection is associated with high mortality for individuals who undergo emergency surgery. The United Kingdom surgical associations and Colleges of Surgeons collectively recommended the addition of CT Thorax to all emergency CT abdomen/pelvis imaging in order to help identify possible COVID-19 patients. Early identification of these patients would lead to optimal treatment strategies for the patient and protection for staff members. However, an extension of CT would be associated with increased irradiation doses for the patient, and its diagnostic relevance was unclear. Methods: This was a retrospective observational review looking at all surgical admissions that required a CT Thorax/Abdomen/Pelvis across 7 weeks during the COVID-19 pandemic, across four Scottish Hospitals. CT thorax investigations (of non-surgical patients) were also re-assessed by a single radiologist to assess the extent of pathology identified at the lung bases (and therefore would be included in a standard CT abdomen and pelvis). Results: Of 216 patients identified who had a CT thorax/Abdomen/Pelvis during the timeframe, 5 were diagnosed with COVID-19. During this timeframe, 77 patients underwent solely CT thorax. Across the entire cohort, 98% of COVID pathology was identified at the lung bases. The estimated sensitivity and specificity of CT thorax was 60 and 86.4% respectively. Conclusions: In a region with relatively low prevalence of SARS-COV2 infection, inclusion of CT Thorax in surgical admission imaging does not significantly contribute to identification and management of SARS-COV2 patients. We therefore suggest that imaging the lung bases can be sufficient to raise clinical suspicion of COVID-19. Advances in knowledge: This paper adds further evidence to that from other single UK centres that the addition of CT chest for all patients does not yield any further diagnostic information regarding coronavirus. Additionally, rapid SARS-CoV-2 testing in the UK (which is currently widely available) further demonstrates that inclusion of the entire chest during CT examination of the acute abdomen is not required.

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Lakadamyali, H., H. Lakadamyali, and T. Ergun. "Thorax CT Findings in Symptomatic Hemodialysis Patients." Transplantation Proceedings 40, no. 1 (January 2008): 71–76. http://dx.doi.org/10.1016/j.transproceed.2007.11.037.

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Duara, Bijit Kumar, and Vineeth Skariah Abraham. "CT THORAX EVALUATION IN CONNECTIVE TISSUE DISORDERS." British Journal of Medical and Health Research 7, no. 8 (August 20, 2020): 59–69. http://dx.doi.org/10.46624/bjmhr.2020.v7.i08.007.

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Heckmann, Martina, Michael Uder, Werner Bautz, and Marc Heinrich. "Diagnose der Pilzpneumonie in der Thorax-CT." Rontgenpraxis 56, no. 6 (January 2008): 207–18. http://dx.doi.org/10.1016/j.rontge.2008.03.004.

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Scherer, A., G. Choy, P. Kröpil, R. Lanzman, U. Mödder, and S. Abbara. "Inzidentelle Pathologien des Herzens im Thorax-CT." RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren 181, no. 12 (October 27, 2009): 1127–34. http://dx.doi.org/10.1055/s-0028-1109839.

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Su, Kuan‐Hao, Harry T. Friel, Jung‐Wen Kuo, Rose Al Helo, Atallah Baydoun, Christian Stehning, Adina N. Crisan, et al. "UTE‐mDixon‐based thorax synthetic CT generation." Medical Physics 46, no. 8 (June 12, 2019): 3520–31. http://dx.doi.org/10.1002/mp.13574.

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Yoshida, Katsuya, Hiroyuki Tadokoro, Kazuhiro Shimada, Masahiro Endo, Kazumasa Satoh, Shinobu Kitsukawa, Akira Takami, Yoshiaki Masuda, Masahiro Kusakabe, and Yasuhito Sasaki. "Cone-Beam CT Angiography of the Thorax." Japanese Circulation Journal 63, no. 10 (1999): 789–93. http://dx.doi.org/10.1253/jcj.63.789.

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Titulaer, Maarten J., Paul W. Wirtz, Luuk N. A. Willems, Klaas W. van Kralingen, Peter A. E. Sillevis Smitt, and Jan J. G. M. Verschuuren. "Screening for Small-Cell Lung Cancer: A Follow-Up Study of Patients With Lambert-Eaton Myasthenic Syndrome." Journal of Clinical Oncology 26, no. 26 (September 10, 2008): 4276–81. http://dx.doi.org/10.1200/jco.2008.17.5133.

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Purpose A small-cell lung carcinoma (SCLC) is found in 50% of patients with Lambert-Eaton myasthenic syndrome (LEMS). We evaluated screening to optimize screening strategy for SCLC. It is important to detect these tumors early in newly diagnosed patients with LEMS to offer optimal patient treatment. Patients and Methods A large nationwide cohort study of consecutive patients in the Netherlands, seen between 1990 and 2007, were screened for the presence of a tumor using chest x-ray, computed tomography of the thorax (CT-thorax), [18F]fluorodeoxyglucose positron emission tomography (FDG-PET), bronchoscopy, and/or mediastinoscopy. Results SCLC was found in 54 patients, and in 46 patients, no tumor was found during a median follow-up of 8 years (range, 3 to 26 years). All patients with SCLC had a positive smoking history and 86% were still smoking at diagnosis. SCLC was found in 92% of these patients within 3 months and in 96% within a year. At first screening, CT-thorax detected an SCLC in 45 patients (83%), whereas chest x-ray found the tumor in only 23 patients (51%). An SCLC was found during secondary screening in another nine patients (median, 3 months; range, 1 to 41 months). In six patients, a lung tumor was found by CT-thorax or FDG-PET, and in three patients, extrapulmonary metastases were found, initially without identifiable tumor mass on CT-thorax. Conclusion In almost all patients (96%), the SCLC was found within 1 year of diagnosis. CT-thorax scans detected most of the tumors (93%) and was far more sensitive than chest x-ray (51%). FDG-PET may have additive value in selected cases. We propose a screening protocol based on CT-thorax and FDG-PET.

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GÜNDÜZ, Yasemin, Mehmet Halil ÖZTÜRK, and Yakup TOMAK. "The usual course of thorax CT findings of COVID-19 infection and when to perform control thorax CT scan." TURKISH JOURNAL OF MEDICAL SCIENCES 50, no. 4 (June 23, 2020): 684–86. http://dx.doi.org/10.3906/sag-2004-293.

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Eddy, A. "Issues surrounding the use of helical CT for the imaging and planning of lung tumours." Journal of Radiotherapy in Practice 1, no. 2 (July 1999): 51–56. http://dx.doi.org/10.1017/s1460396999000102.

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In this article several issues will be discussed. Firstly, the efficacy of using helical CT data to image the thorax, and delineate volumes (clinical target volumes (CTV) and planning target volumes (PTV). Secondly, the practicalities of using CT data sets for dose inhomogeneity corrections and planning in the thorax. And thirdly, the associated problems of organ motion and immobilisation in this region.

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Rappaport, Daniel C. "Helical CT applications in the thorax and abdomen." Postgraduate Medicine 104, no. 5 (November 1998): 105–14. http://dx.doi.org/10.3810/pgm.1998.11.404.

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Bilinskas, Mykolas J., Gintautas Dzemyda, and Mantas Trakymas. "Feature-Based Registration of Thorax CT Scan Slices." Informatica 28, no. 3 (January 1, 2017): 439–52. http://dx.doi.org/10.15388/informatica.2017.137.

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Rodríguez-Reyna, Jorge Arturo. "Thorax CT scan of a COVID-19 patient." Revista Médica de Trujillo 15, no. 3 (September 4, 2020): 134–37. http://dx.doi.org/10.17268/rmt.2020.v15i03.15.

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Bogossian, M., I. L. Santoro, S. Jamnik, R. T. Rodrigues, and H. Tadokoro. "914 Lung cancer and thorax CT scan findings." Lung Cancer 18 (August 1997): 232–33. http://dx.doi.org/10.1016/s0169-5002(97)80291-7.

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Koc, Gizem Gul, Zafer Koc, Tahir Kaniyev, and Ali Kokangul. "Thorax CT Dose Reduction Based on Patient Features." Health Physics 116, no. 5 (May 2019): 736–45. http://dx.doi.org/10.1097/hp.0000000000001008.

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Tanaka, Ryuzo, Hiroyuki Akazawa, Noboru Narai, Miho Morimoto, and Harumi Itoh. "Clinical usefulness of 3D CT image of thorax." Japanese Journal of Radiological Technology 52, no. 9 (1996): 1046. http://dx.doi.org/10.6009/jjrt.kj00001354788.

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Richenberg, J. L., and D. M. Hansell. "Image processing and spiral CT of the thorax." British Journal of Radiology 71, no. 847 (July 1998): 708–16. http://dx.doi.org/10.1259/bjr.71.847.9771380.

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Leung, Ann N. "Spiral CT of the Thorax in Daily Practice." Journal of Thoracic Imaging 12, no. 1 (January 1997): 2–10. http://dx.doi.org/10.1097/00005382-199701000-00002.

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Rieger, M., H. Sparr, R. Esterhammer, C. Fink, R. Bale, B. Czermak, and W. Jaschke. "Moderne CT-Diagnostik des akuten Thorax- und Abdominaltraumas." Der Radiologe 42, no. 7 (July 2002): 556–63. http://dx.doi.org/10.1007/s00117-002-0761-y.

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Rieger, M., H. Sparr, R. Esterhammer, C. Fink, R. Bale, B. Czermak, and W. Jaschke. "Moderne CT-Diagnostik des akuten Thorax- und Abdominaltraumas." Der Anaesthesist 51, no. 10 (October 1, 2002): 835–42. http://dx.doi.org/10.1007/s00101-002-0369-7.

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Hong, C., B. von R�ckmann, A. Stadie, M. F. Reiser, C. Becker, R. Eibel, U. J. Schoepf, and R. Br�ning. "Bildgebung des Thorax mit der Mehrschicht- Spiral-CT." Der Radiologe 39, no. 11 (November 19, 1999): 943–51. http://dx.doi.org/10.1007/s001170050586.

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Do, Thuy Duong, Stephan Rheinheimer, Hans-Ulrich Kauczor, Wolfram Stiller, Tim Weber, and Stephan Skornitzke. "Image quality evaluation of dual-layer spectral CT in comparison to single-layer CT in a reduced-dose setting." European Radiology 30, no. 10 (May 11, 2020): 5709–19. http://dx.doi.org/10.1007/s00330-020-06894-7.

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Abstract Objectives To quantitatively and qualitatively evaluate image quality in dual-layer CT (DLCT) compared to single-layer CT (SLCT) in the thorax, abdomen, and pelvis in a reduced-dose setting. Methods Intraindividual, retrospective comparisons were performed in 25 patients who received at least one acquisition of all three acquisition protocols SLCTlow (100 kVp), DLCThigh (120 kVp), and DLCTlow (120 kVp), all covering the venous-phase thorax, abdomen, and pelvis with matched CTDIvol between SLCTlow and DLCTlow. Reconstruction parameters were identical between all scans. Image quality was assessed quantitatively at 10 measurement locations in the thorax, abdomen, and pelvis by two independent observers, and subjectively with an intraindividual forced choice test between the three acquisitions. Dose-length product (DLP) and CTDIvol were extracted for dose comparison. Results Despite matched CTDIvol in acquisition protocols, CTDIvol and DLP were lower for SLCTlow compared to DLCTlow and DLCThigh (DLP 408.58, 444.68, 647.08 mGy·cm, respectively; p < 0.0004), as automated tube current modulation for DLCTlow reached the lower limit in the thorax (mean 66.1 mAs vs limit 65 mAs). Noise and CNR were comparable between SLCTlow and DLCTlow (p values, 0.29–0.51 and 0.05–0.20), but CT numbers were significantly higher for organs and vessels in the upper abdomen for SLCTlow compared to DLCTlow. DLCThigh had significantly better image quality (Noise and CNR). Subjective image quality was superior for DLCThigh, but no difference was found between SLCTlow and DLCTlow. Conclusions DLCTlow showed comparable image quality to SLCTlow, with the additional possibility of spectral post-processing. Further dose reduction seems possible by decreasing the lower limit of the tube current for the thorax. Key Points • Clinical use of reduced-dose DLCT is feasible despite the required higher tube potential. • DLCT with reduced dose shows comparable objective and subjective image quality to reduced-dose SLCT. • Further dose reduction in the thorax might be possible by adjusting mAs thresholds.

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Arencibia, Alberto, Juan Alberto Corbera, Gregorio Ramírez, María Luisa Díaz-Bertrana, Lidia Pitti, Manuel Morales, and José Raduan Jaber. "Anatomical Assessment of the Thorax in the Neonatal Foal Using Computed Tomography Angiography, Sectional Anatomy, and Gross Dissections." Animals 10, no. 6 (June 17, 2020): 1045. http://dx.doi.org/10.3390/ani10061045.

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The purpose of this study was to correlate the anatomic features of the normal thorax of neonatal foals identified by CTA, with anatomical sections and gross dissections. Contrast-enhanced transverse CTA images were obtained in three neonatal foals using a helical CT scanner. All sections were imaged with a bone, mediastinal, and lung windows setting. Moreover, cardiac volume-rendered reconstructed images were obtained. After CT imaging, the cadaver foals were sectioned and dissected to facilitate the interpretation of the intrathoracic cardiovascular structures to the corresponding CTA images. Anatomic details of the thorax of neonatal foals were identified according to the characteristics of CT density of the different organic tissues and compared with the corresponding anatomical sections and gross dissections. The information obtained provided a valid anatomic pattern of the thorax of foals, and useful information for CTA studies of this region.

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Ciappuccini, Renaud, Natacha Heutte, Géraldine Trzepla, Jean-Pierre Rame, Dominique Vaur, Nicolas Aide, and Stéphane Bardet. "Postablation 131I scintigraphy with neck and thorax SPECT–CT and stimulated serum thyroglobulin level predict the outcome of patients with differentiated thyroid cancer." European Journal of Endocrinology 164, no. 6 (June 2011): 961–69. http://dx.doi.org/10.1530/eje-11-0156.

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ObjectiveNeck and thorax single photon emission computed tomography with computed tomography (SPECT–CT) improves the reliability of postablation 131I whole-body scan (WBS) for differentiated thyroid cancer (DTC). The aim of this study was to assess the prognostic value for persistent or recurrent disease of postablation 131I scintigraphy combining WBS and neck and thorax SPECT–CT with that of the previously known predictive factors.MethodsThis is a single referral center prospective study with a median follow-up of 29 months. Postablation 131I WBS and neck and thorax SPECT–CT were performed in 170 consecutive patients treated between 2006 and 2008. Stimulated serum thyroglobulin (Tg) and anti-thyroglobulin antibodies (TgAb) levels were measured. The impact on disease-free survival of age; gender; postablation 131I scintigraphy; stimulated serum Tg level; T, N, and M status; and macroscopic lymph node involvement was assessed by univariate and multivariate analyses.ResultsPersistent or recurrent disease was observed in 32 (19%) patients. In the whole group of patients, only positive WBS with SPECT–CT was related to an increased risk of persistent or recurrent disease (hazards ratio (HR)=65.21, 95% confidence interval (CI)=26.03–163.39, P<0.0001). In patients without TgAb (n=146), both positive WBS with SPECT–CT (HR=18.86, 95% CI=5.02–70.85, P<0.0001) and serum Tg level ≥58 ng/ml (HR=4.42, 95% CI=1.18–16.53, P=0.0271) were associated with an increased risk.ConclusionIn patients with DTC, the cross analysis of postablation 131I scintigraphy with neck and thorax SPECT–CT and stimulated serum Tg level enables early assessment of the risk of persistent or recurrent disease.

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Siregar, Elshaday S. B., Gusti Ngurah Sutapa, and I. Wayan Balik Sudarsana. "Analysis of Radiation Dose of Patients on CT Scan Examination using Si-INTAN Application." BULETIN FISIKA 21, no. 2 (July 6, 2020): 53. http://dx.doi.org/10.24843/bf.2020.v21.i02.p03.

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CT scan is widely used to diagnose the inside of the human body, so supervision is needed to ensure the health and safety of workers, patients and the public. One surveillance that can be done is to analyze the radiation dose of the patient on CT scan with the application of Si-INTAN. Data processing of the results of CT scan of the head, thorax and abdomen for ages 0-4 years, 5-14 years and ? 15 years using the Si-INTAN application. From the results of the data processing, the highest DRL DLP value and CTDIVOL values were obtained, for CT scan heads were 1732,8 mGycm and 31,92 mGy, the CT scan of the thorax was 2450,78 mGycm and 19,36 mGy, and for CT Abdominal Scans were 3968,85 mGycm and 19,35 mGy.

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Khelassi-Toutaoui, Nadia, Ahmed Merad, Virginia Tsapaki, Fouzia Meddad, Zakia Sakhri-Brahimi, Diana Guedioura, and Samia Saadi. "ADULT CT EXAMINATIONS IN ALGERIA: TOWARDS UPDATING NATIONAL DIAGNOSTIC REFERENCE LEVELS." Radiation Protection Dosimetry 190, no. 4 (July 2020): 364–71. http://dx.doi.org/10.1093/rpd/ncaa116.

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Abstract A pilot study has concerned the most frequent computed tomography examinations (CT). This represents the first results based on actual survey for diagnostic reference levels (DRLs) establishment in Algeria. A total number of 2540 patients underwent this survey that has included the recording of CT parameters, computed tomography dose index (CTDIvol) and dose-length product of the head, thorax, abdomen, abdomen–pelvis (AP), lumbar spine (LS) and thorax–abdomen–pelvis (TAP) performed on standard patients. The proposed DRLs are 71 mGy/1282 mGy.cm for head, 16 mGy/555 mGy.cm for thorax, 18 mGy/671 mGy.cm for abdomen, 21 mGy/950 mGy.cm for AP, 36 mGy/957 mGy.cm for LS and 18 mGy/994 mGy.cm for TAP. The rounded 75th percentile seems to be higher in some examinations compared to the literature. Our findings confirm the need to optimise our practice. These results provide a starting point for institutional evaluation of CT radiation doses.

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Booij, Ronald, Marcel van Straten, Andreas Wimmer, and Ricardo P. J. Budde. "Automated patient positioning in CT using a 3D camera for body contour detection: accuracy in pediatric patients." European Radiology 31, no. 1 (August 4, 2020): 131–38. http://dx.doi.org/10.1007/s00330-020-07097-w.

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Abstract Objective To assess the accuracy of a 3D camera for body contour detection in pediatric patient positioning in CT compared with routine manual positioning by radiographers. Methods and materials One hundred and ninety-one patients, with and without fixation aid, which underwent CT of the head, thorax, and/or abdomen on a scanner with manual table height selection and with table height suggestion by a 3D camera were retrospectively included. The ideal table height was defined as the position at which the scanner isocenter coincides with the patient’s isocenter. Table heights suggested by the camera and selected by the radiographer were compared with the ideal height. Results For pediatric patients without fixation aid like a baby cradle or vacuum cushion and positioned by radiographers, the median (interquartile range) absolute table height deviation in mm was 10.2 (16.8) for abdomen, 16.4 (16.6) for head, 4.1 (5.1) for thorax-abdomen, and 9.7 (9.7) for thorax CT scans. The deviation was less for the 3D camera: 3.1 (4.7) for abdomen, 3.9 (6.3) for head, 2.2 (4.3) for thorax-abdomen, and 4.8 (6.7) for thorax CT scans (p < 0.05 for all body parts combined). Conclusion A 3D camera for body contour detection allows for automated and more accurate pediatric patient positioning than manual positioning done by radiographers, resulting in overall significantly smaller deviations from the ideal table height. The 3D camera may be also useful in the positioning of patients with fixation aid; however, evaluation of possible improvements in positioning accuracy was limited by the small sample size. Key Points • A 3D camera for body contour detection allows for automated and accurate pediatric patient positioning in CT. • A 3D camera outperformed radiographers in positioning pediatric patients without a fixation aid in CT. • Positioning of pediatric patients with fixation aid was feasible using the 3D camera, but no definite conclusions were drawn regarding the positioning accuracy due to the small sample size.

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Taydas, Onur, Yasin Erarslan, Zeynep Atceken, and Orhan Macit Ariyurek. "Thorax CT findings in granulomatosis with polyangiitis (Wegener granulomatosis)." Türk Radyoloji Dergisi/Turkish Journal of Radiology 36, no. 3 (November 22, 2018): 86–88. http://dx.doi.org/10.5152/turkjradiol.2017.560.

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Lee, In Jae, Hyung Sim Choe, Soo Kee Min, Eun Young Ko, Jae Young Lee, Hyun Beom Kim, Kwan Seop Lee, Yul Lee, and Sang Hoon Bae. "CT Findings of Kimura's Disease Involving Thorax: Case Report." Journal of the Korean Radiological Society 48, no. 5 (2003): 413. http://dx.doi.org/10.3348/jkrs.2003.48.5.413.

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Chiles, Caroline, and J. Jeffrey Carr. "Vascular Diseases of the Thorax: Evaluation with Multidetector CT." Radiologic Clinics of North America 43, no. 3 (May 2005): 543–69. http://dx.doi.org/10.1016/j.rcl.2005.02.010.

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Mesanovic, Nihad, Haris Huseinagic, and Svjetlana Mujagic. "3D TRACHEOBRONCHIAL AIRWAY TREE SEGMENTATION FROM THORAX CT IMAGES." Biomedical Engineering: Applications, Basis and Communications 25, no. 01 (February 2013): 1350015. http://dx.doi.org/10.4015/s1016237213500154.

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Abstract:

Segmentation of the lung structures is an important operation in the medical analysis. This paper is proposing a region growing algorithm for airway segmentation. The proposed method for the airway tree segmentation works fully in 3D and performs the measurements in the original gray-scale volume for increased accuracy and efficiency. This algorithm uses region growing and morphological operators. The airway segmentation algorithm is intended to serve qualitative and quantitative purposes, and additional three descriptors are being used for evaluation of the airway segmentation. The proposed method was evaluated using the database of 15 patients who underwent lung CT scans, with varying image quality and anatomical changes. Overlap measure is used to show the difference between measured volumes from the established gold standard and the proposed method. The student t-test and Pearson test showed high correlation of the results with the gold standard. Overall, the test results were satisfactory since accurate segmentation was achieved in 95% of the patients.

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Mendelson, David S. "CT and Magnetic Resonance of the Thorax, 3rd Edition." Chest 120, no. 5 (November 2001): 1757. http://dx.doi.org/10.1378/chest.120.5.1757.

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Kawamoto, Satomi, Pamela T. Johnson, and Elliot K. Fishman. "Three-dimensional CT angiography of the thorax: Clinical applications." Seminars in Ultrasound, CT and MRI 19, no. 5 (October 1998): 425–38. http://dx.doi.org/10.1016/s0887-2171(98)90019-1.

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Hogan, John, Colin O’Rourke, Gerald Duff, Michael Burton, Niall Kelly, John Burke, and John Calvin Coffey. "Preoperative Staging CT Thorax in Patients With Colorectal Cancer." Diseases of the Colon & Rectum 57, no. 11 (November 2014): 1260–66. http://dx.doi.org/10.1097/dcr.0000000000000210.

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Ullah, Sana, Robert Anderson, Naomi French, Amy Gardiner, Katherine Krupa, and Lindsey Chisholm. "Preoperative Staging CT Thorax in Patients With Colorectal Cancer." Diseases of the Colon & Rectum 58, no. 6 (June 2015): e390. http://dx.doi.org/10.1097/dcr.0000000000000370.

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Sonmezoglu, Kerim. "Pet-Ct Applications In Thorax - Introduction And Basic Principles." Toraks Cerrahisi Bulteni 6, no. 2 (June 4, 2015): 125–29. http://dx.doi.org/10.5152/tcb.2015.053.

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Journal articles on the topic 'CT-Thorax'

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