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Ditemukan 12 dokumen yang sesuai dengan query
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Joarder, Rita
"Case studies in chest Imaging is a collection of 100 real cases, which demonstrate the use of modern imaging techniques and illustrate the appropriate use of imaging in the investigation of pathology. Compiled by experts in the field, Case studies in chest imaging uses the most up-to-date and high quality images, including plain films, standard multi slice and high resolution thoracic CT scans. Each case is presented in a pedagogical style, with 1-4 images and accompanying questions, followed by answers and further relevant images. This is then augmented by an explanation of the imaging and key teaching points with references for further reading."
London: Springer-Verlag, 2012
e20420765
eBooks  Universitas Indonesia Library
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"Summary:
This comprehensive text explains how to interpret chest radiographs and how to report that information in day-to-day practice using case examples, over 400 radiographs, drawings and specimen photographs, straightforward explanations of findings, and the collective experience of its expert authors"
New York: Thieme, 2010
618.921 CHE
Buku Teks SO  Universitas Indonesia Library
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Ahmad Arisa Ardiawan
"Pengukuran bio-impedansi merupakan salah satu metode untuk diagnosis berdasarkan nilai impedansi sebagai fungsi dari frekuensi. Bio-impedansi memanfaatkan karakteristik hambatan dari makhluk hidup dalam menghambat arus yang lewat. Dengan melihat perubahan arus ini maka pengukuran bioimpedansi dapat dilakukan. Pengukuran volume sebuah jaringan atau plethysmography biasanya dilakukan untuk volume gas pada paru-paru. Plethysmography dapat mengamati paru-paru pada saat inspirasi dan ekspirasi yang menunjukkan perbedaan volume. Untuk mendapatkan perbedaan itu, metode pengukuran thoracic atau bagian dada untuk plethysmography sering digunakan. Dengan mengkombinasikan metode thoracic dan Impedance Converter AD5933, pengukuran bio-impedansi untuk plethysmography dapat dilakukan. AD5933 diprogram dengan pengaturan sweep frequency yang dapat mengukur besar impedansi, bilangan real, bilangan imaginer dan fasa. Selanjutnya, pengukuran bio-impedansi untuk plethysmography ini dilakukan dengan mengolah data dari AD5933 terhadap waktu dan menghasilkan sinyal yang merepresentasikan sinyal dari paru-paru dan diperoleh sinyal plethysmography dari tiga subjek volunteer (pria berumur 20-23 tahun) dengan berat yang sama yang dibedakan dari perokok atau tidak perokok dan olahraga.

Bio-impedance measurement is one method for diagnosis based on the value of the impedance as a function of frequency. Utilizing bio-impedance characteristics of living things in the barriers inhibiting the flow through. By looking at the change in the flow of bio-impedance measurement can be performed. Measurement of the volume of a tissue or plethysmography is usually done for the volume of gas in the lungs. Plethysmography can observe the lungs during inspiration and expiration which shows the difference in volume. To get the difference, the method of measurement for thoracic or chest plethysmography is often used. By combining methods and thoracic impedance Converter AD5933, measurement of bio-impedance plethysmography to do. AD5933 is programmed with settings that can measure the frequency sweep large impedance, real numbers, imaginary numbers and phase. Furthermore, measurement of bioimpedance plethysmography for this by processing data from AD5933 to time and produce signals that represent the signal from the lungs and plethysmography signals obtained from three volunteer subjects (men aged 20-23 years) with same weight were distinguished from smokers or not smokers and sport routine.
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Depok: Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Indonesia, 2014
S56185
UI - Skripsi Membership  Universitas Indonesia Library
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Irwan Mulyantara
"Introduction: This study aims to know the performance of the Vascular – Physiological and Operative Severity Score for Enumeration of Mortality and Morbidity (V-POSSUM) score as a predictor of 30-day mortality after the Endovascular Aortic Aneurysm Repair (EVAR) – Thoracic Endovascular Aortic Repair (TEVAR) procedure in Abdominal Aortic Aneurysms (AAA) and Thoracic Aortic Aneurysms (TAA) patients in Cipto Mangunkusumo Hospital. Method: This was a retrospective cohort study using data from medical records. Data were taken according to the variables contained in the V-POSSUM scoring system in the patient who undergone EVAR – TEVAR procedure, on the period of 2013 to July 2018. Results: The study involved 85 patients who met the study requirements. It was known that physiological scores, morbidity risk, and mortality risk could be used as a model to predict mortality outcomes because they had good accuracy and discrimination performance, while the severity of the operation score cannot. The result of the goodness of fit model’s physiological score, morbidity risk, and mortality risk was significant (p <0.001), while the severity score of the operation was 0.18 (p >0.05). The Area Under the Curve (AUC) was 94%, 93%, 93%, with the cut points at 31, 68.8, and 10.6 for the physiological score, morbidity risk, and mortality risk, respectively. Conclusion: The V-POSSUM score had good accuracy and discrimination for the physiological score, morbidity risk, and mortality risk."
Jakarta: PESBEVI, 2020
616 JINASVS 1:1 (2020)
Artikel Jurnal  Universitas Indonesia Library
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Folio, Les R.
"The chest X-ray (CXR) or chest radiograph remains the most commonly ordered imaging study in medicine, yet paradoxically is often the most complex to learn, recall, and master effective and accurate interpretation. The chest radiograph includes all thoracic anatomy and provides a high yield, given the low cost and single source. This guide presents a structured lexicon for use by readers to reproducibly describe radiographic abnormalities of the chest detected on plain film CXRs. The lexicon is designed to provide readers with clinically significant differentiation of abnormalities detected. The content is structured to relate specific combinations of distinct radiographic findings to classes/groupings of pathological etiologies of those findings. Recognizing the individual findings and identifying their combination or lack of combination with other individual findings allows readers to create effective differential diagnoses that can then be further evaluated using other imaging procedures and/or non-radiographic clinical information. The book includes hundreds of images, including radiographs, CTs, graphics, and analogous models to help teach otherwise complex processes and radiographic principles.
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New York: Springer Science, 2012
e20420775
eBooks  Universitas Indonesia Library
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Schaefer-Prokop, Cornelia
"Summary:
The radiologist in an intensive care unit must act quickly, expertly, and with confidence when conducting an examination and must keep a cool head. This book is designed to prepare you for critical care situations. It provides a companion for radiologists on call and in preparation for exams"
Stuttgart ; New York: Thieme, 2011
616.075 7 SCH c
Buku Teks SO  Universitas Indonesia Library
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Irmasari Chumairah
"Latar belakang: Infeksi COVID-19 pertama kali terjadi di Wuhan, China pada 19 Desember 2019 hingga ditetapkan sebagai pandemik global oleh WHO pada tanggal 11 Maret 2020. Di Indonesia kasus pertama yang terkonfirmasi ditemukan pada tanggal 2 Maret 2020 dan sejak saat itu kasus COVID-19 semakin meningkat hingga mencapai 2.983.830 pada 21 Juli 2021. Pada kondisi melonjaknya kasus COVID-19 di dunia khususnya Indonesia telah menjadikan modalitas radiografi toraks sebagai salah satu penunjang diagnosis maupun sebagai parameter perkembangan kondisi klinis pasien. Negara Italia dan Inggris menggunakan radiografi toraks sebagai lini pertama di triage untuk penentuan tatalaksana awal, karena pemeriksaan RT-PCR memakan waktu cukup lama. Selain itu, pasien kritis yang tidak dapat dimobilisasi untuk pemeriksaan CT scan toraks dipilih untuk dilakukan pemeriksaan radiografi toraks menggunakan portable X-ray. Kondisi tersebut membuat negara Italia mengembangkan sistem skoring toraks Brixia untuk memantau perkembangan klinis pasien yang dirawat di rumah sakit. Karena sistem skoring toraks Brixia belum pernah digunakan sebagai prediktor untuk memperkirakan perjalanan penyakit pada pasien COVID-19, maka penelitian ini akan menilai skoring tersebut sebagai prediktor perkembangan klinis pasien COVID-19.
Metode: Penelitian ini merupakan studi kasus-kontrol menggunakan 48 data sekunder berupa sistem skoring toraks Brixia dari radiografi toraks yang diambil dari Picture archiving and communication system (PACS), serta data klinis dalam jangka waktu dua minggu pertama berupa anamnesis, pemeriksaan fisik dan penunjang lainnya pada pasien COVID-19 terkonfirmasi di RSCM periode Maret 2020 – Juli 2021.
Hasil: Rerata skoring toraks brixia antara kelompok klinis perburukan dan perbaikan tidak bermakna signifikan (p > 0,05), sehingga tidak dapat menilai titik potong skoring toraks Brixia. Namun didapatkan perbedaan rerata yang signifikan (p < 0,05) antara skoring toraks Brixia dengan kondisi akhir klinis hidup dan meninggal, yaitu didapatkan rentang skor di awal perawatan 7,8 – 16,6 dapat mengarah ke kondisi klinis kritis bahkan kematian di akhir perawatan. Selain itu juga didapatkan perbedaan rerata (p < 0,05) antara interval onset gejala dengan kelompok gejala klinis perburukan dan perbaikan pada pasien COVID-19.
Kesimpulan: Sistem skoring toraks Brixia tidak dapat dijadikan prediktor dalam menentukan perkembangan klinis perburukan atau perbaikan pada pasien COVID-19, sehingga tidak dapat dijadikan sebagai parameter tunggal dalam tatalaksana pasien. Namun secara tidak langsung skoring ini dapat memprediksi kondisi akhir ke arah hidup atau meninggal dikaitkan juga dengan interval onset gejala. Hal ini terjadi karena kondisi klinis perburukan maupun perbaikan disebabkan oleh proses perjalanan penyakit yang masih berlangsung sesuai onset gejala, serta daya imunitas individu yang bervariasi."
Jakarta: Fakultas Kedokteran Universitas Indonesia, 2021
T-pdf
UI - Tesis Membership  Universitas Indonesia Library
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"This volume presents information on stem cells and cancer stem cells, therapeutic applications in disease and tissue/organ injury. Methodologies of regenerative medicine and tissue engineering are major components of this volume. Specific stem cells discussed are, human embryonic stem cells, hematopoietic stem cells, cord blood stem cells, human pluripotent stem cells, gliosarcoma stem cells, induced pluripotent stem cells, intestinal stem cells, human thyroid cancer stem cells, tumor stem cells, menstrual stem-like cells, neural stem cells, breast cancer stem cells, allogeneic mesenchymal stem cells, fetal membrane-derived mesemchynmal stem cells, and omental stem cells. The method for isolating bone marrow stromal cells is explained. Method for generating marmoset-induced pluripotent stem cells, using transcription factors, is also explained. Use of stem cell lines in therapeutic applications is discussed. Programming of stem cells is described. Methods for transplantation of stem cells are presented. Use of various types of stem cells for conditions such as stroke, ischemia, heart diseases, Alzhemier’s disease, and neurogenerative diseases in general, is explained. For example, generation of human cardiac muscle cells from adipose-derived stem cells is included. Another example is repairing bone defects using mesenchymal stem cells and mesenchymal-derived endothelial cells. Differentiation of new neurons from neural stem cells is described. Method for repairing retina condition using human embryonic stem cells is explained; these cells can induce neural differentiation. Treatment of graft-versus-host disease resulting from hematopoietic stem cell transplantation is elaborated."
Dordrecht: Springer, 2012
e20418108
eBooks  Universitas Indonesia Library
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"Redo cardiac surgeries are challenging cases with a myriad of influential factors, ranging from the patient's pathology to the whimsy of the previous surgeon. Redo Cardiac Surgery in Adults, 2nd Edition clearly outlines practical approaches, surgical techniques, and management of associated conditions such as perioperative stroke and acute kidney function. It covers the spectrum of redo cardiac operations, including coronary artery bypass, mitral valve repair, reoperation for prosthetic mitral valve endocarditis, aortic arch reoperation, descending and thoracoabdominal aortic reoperation, and reoperations following endovascular aortic repair. All redo cardiac surgeries present a complex array of challenges beyond what the original procedure demands. "
New York: Springer, 2012
e20426022
eBooks  Universitas Indonesia Library
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Irwan Mulyantara
"Tesis ini membahas mengenai performa skor V-POSSUM sebagai prediktor mortalitas 30 hari pasca tindakan EVAR TEVAR pada pasien AAA dan TAA di RSUPN Cipto Mangunkusumo.Penelitian ini merupakan studi kohort retrospektif menggunakan data dari rekam medis. Data yang diambil sesuai variabel yang terdapat dalam sistem skoring dalam bentuk kategorik lalu diolah secara statistik untuk menguji validitas skor V-POSSUM. Hasil penelitian melibatkan 85 pasien yang memenuhi syarat penerimaan penelitian. Dari pengolahan data statistik diketahui bahwa skor fisiologis, risiko morbiditas, dan risiko mortalitas dapat digunakan sebagai model untuk memprediksi luaran kematian karena memiliki performa akurasi dan diskriminasi yang baik, sedangkan skor kepelikan operasi tidak dapat digunakan karena secara statistik tidak menunjukkan hal yang sama. Nilai P hasil perhitungan 'Goodnes of Fit Model' skor fisiologis, risiko morbiditas, risiko mortalitas masing-masing adalah 0.00, sedangkan skor kepelikan operasi 0.18 (>0.05). 'Area Under the Curve' (AUC) masing-masing adalah 94%, 93%, 93%, dengan titik potong masing-masing berada di angka 31, 68.8, dan 10.6. Sebagai kesimpulan adalah bahwa skor V-POSSUM memiliki akurasi dan diskriminasi yang baik bukan hanya pada skor risiko mortalitasnya saja, namun pada skor fisiologis dan skor risiko morbiditasnya.

This thesis discusses the performance of V-POSSUM score as a predictor of 30 days mortality after EVAR TEVAR in AAA and TAA patients at Cipto Mangunkusumo Hospital. This study is a retrospective cohort method using data from medical records. Data taken according to the variables contained in the scoring system in categorical form then processed statistically to test the validity of the V-POSSUM score. The results of the study involved 85 patients who met the research acceptance requirements. From the processing of statistical data it is known that physiological scores, morbidity risk, and mortality risk can be used as a model to predict the outcome of death because it has good performance in accuracy and discrimination, while the severity score of surgery cannot be used because it does not show the same result statistically. The P value calculated by the Goodnes of Fit Model physiological score, the morbidity risk, the mortality risk of each was 0.00, while the severity score of the operation was 0.18 (> 0.05). Area Under the Curve (AUC) are 94%, 93%, 93%, respectively, with points 31, 68.8 and 10.6. The conclusion is that the V-POSSUM score has good accuracy and discrimination not only on the mortality risk score, but also on the physiological score and the morbidity risk score.
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Jakarta: Fakultas Kedokteran Universitas Indonesia, 2018
SP-Pdf
UI - Tugas Akhir  Universitas Indonesia Library
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