Hasil Pencarian  ::  Simpan CSV :: Kembali

"Hamartoma: Prosedur diagnosis pada kasus dengan tampilan klinis yang tidak spesifik. Hamartoma merupakan lesi dengan disorganisasi pertumbuhan sel matur dan jaringan yang berlebihan, dapat terjadi di rongga mulut dengan gambaran tidak khas dan menyerupai neoplasma. Laporan kasus ini memaparkan gambaran klinis hamartoma besertapenegakan diagnosisnya pada pasien pria 37 tahun. Pasien tersebut memiliki riwayat lesi kulit berupa plak merah pada pipi kiri yang telah terlihat sejak lahir. Lesi tersebut dirasakan membesar dan mengganggu pada usia 22 tahun. Setahun kemudian dilakukan operasi pengurangan massa lesi, namun tetap meninggalkan gambaran kemerahan. Tiga belas tahun setelah operasi, timbul lesi putih di pipi kiri bagian dalam yang dalam waktu setengah tahun membesar hingga berukuran10 x 8,5 x 6 cm dan meluas sampai bibir bawah. Prosedur diagnosis dilakukan berupa pemeriksaan klinis dan penunjang yakni biopsi, CT scan, dan radiograf dengan kesimpulan awal neuroma. Selanjutnya dilakukan biopsi ulang dengan kesimpulan diagnosis hamartoma. Disimpulkan bahwa biopsi yang adekuat dan representatif, serta penyertaan informasi klinis yang memadai diperlukan untuk membedakan hamartoma dengan lesi oral lainya.

---

Hamartoma is a benign tumor-like lesion composed of overgrowth of mature cells and tissues. Along with its unspecific appearance, it may occur in the oral cavity and bear resemblance to the other lesions. In this report we describes the clinical appearance of hamartoma as well as the diagnosis method in the case of a 37-year-old-man. The patient explained that he already has redness plaque lesion on his skin left cheek region since he was born. The lesion was sensed to grow anddiscomfort at the age of 22. A surgical therapy had been performed to reduce the size of lesion one year after, but the redness plaque still existed. Thirteen years following the operation, white lesion appeared on the inner left cheek 10 x 8.5 x 6cm of size and extended onto lower lips within half a year. Diagnostic procedure was carried out such as biopsy, CT-scan and radiography with neuroma as an initial conclusion. New histopathological examination confirmed the diagnosis of hamartoma. It is concluded that adequate and appropriate biopsy procedure along with sufficient clinical information are needed to develop a proper diagnosis to distinguish hamartoma from other oral lesions."

"Summary: Known as the bible of biomedical engineering, The Biomedical Engineering Handbook, Fourth Edition, sets the standard against which all other references of this nature are measured. As such, it has served as a major resource for both skilled professionals and novices to biomedical engineering. Biomedical Signals, Imaging, and Informatics, the third volume of the handbook, presents material from respected scientists with diverse backgrounds in biosignal processing, medical imaging, infrared imaging, and medical informatics"

"Latar Belakang : Tingkat akurasi EUS FNA dalam diagnosis lesi pankreas diduga dipengaruhi oleh berbagai macam faktor. Penelitian mengenai faktor yang mempengaruhi keberhasilan EUS FNA belum pernah dilakukan di Indonesia. Penelitian ini dilakukan untuk mengetahui faktor-faktor yang mempengaruhi keberhasilan EUS FNA untuk diagnosis lesi pankreas pada populasi Indonesia.Metode : Penelitian ini merupakan studi potong lintang dari data rekam medis pada januari 2012-Juli 2022 atau total seluruh subjek yang dilakukan EUS FNA karena lesi pankreas di PESC RSCM. Pasien dengan data tidak lengkap dan lesi peripankreas tidak diikutkan. Karakteristik dasar subjek penelitian ditampilkan dalam bentuk tabel. Analisis bivariat menggunakan uji chi square dilakukan dengan masing-masing variabel bebas terhadap keberhasilan diagnostik EUS FNA untuk menghitung nilai odds ratio (OR). Variabel dengan nilai p< 0,25 pada analisa bivariat dimasukkan ke analisa multivariat dengan regresi logistik.Hasil : Sebanyak 201 pasien dengan lesi pankreas yang menjalani pemeriksaan EUS FNA diikutkan dalam penelitian. Angka keberhasilan diagnostik EUS FNA pada lesi pankreas adalah sebesar 77,11%. Ukuran lesi ³3 cm diasoasikan dengan peningkatan keberhasilan diagnosis EUS FNA berdasarkan analisis bivariat (OR 2,46; IK95 1,25-4,86; p= 0,008). Analisis multivariat menunjukan bahwa ukuran lesi ³3 cm (OR 18,95; IK95 4,77-75,29; p = 0,000),  lokasi lesi di korpus (OR 2.82; IK95 1.03-7.77; p= 0,04) dan ukuran jarum 22G (OR 7.49; IK95 1.87-29.97; p= 0.004) diasoasikan dengan peningkatan keberhasilan diagnosis. Kesimpulan : Ukuran lesi, lokasi lesi dan ukuran jarum, merupakan faktor yang mempengaruhi keberhasilan diagnostik EUS FNA pada lesi pankreas.

---

Background: Diagnostic accuracy of EUS FNA in diagnosing pancreatic lesion are affected by several factors. Clinical study regarding these factors had not been done in Indonesia. This study aims to study factors affecting the diagnostic yield of EUS FNA in diagnosing pancreatic lesion in Indonesian population. 

Method: This study is a cross-sectional study of medical record data in January 2012-July 2022 or a total of all subjects who underwent EUS FNA due to pancreatic lesions at PESC RSCM. Patient with incomplete data and peripacreatic lesion was excluded. Clinical characteristics of sample is presented in a table. Bivariat analysis was conducted with chi square test between independent factors and diagnostic success of EUS FNA to obtained the odds ratio (OR). Factors with p-value above 0,25 are included for multivariat analysis using logistic regression.  

Result: A total of 201 patients underwent EUS FNA was included in this study. Success rate of diagnosing pancreatic lesion using EUS FNA was 77,11%. Lesion size ³3 cm increased the odds for diagnostic success based on bivariat analysis (OR 2,46; 95% CI 1,25-4,86; p = 0,008). Multivariate analysis showed that the lesion size ³ 3 cm (OR 18.95; CI95 4.77-75.29; p = 0.000), the location of the lesion in the corpus (OR 2.82; CI95 1.03-7.77; p = 0.04) and needle size 22G (OR 7.49; CI95 1.87-29.97; p= 0.004) was associated with an increase in diagnostic yield.

Conclusion: The size of the lesion, the location of the lesion and the size of the needle, are factors that influence the diagnostic yield of EUS FNA in pancreatic lesions"

"This book provides a thorough overview of the ongoing evolution in the application of artificial intelligence (AI) within healthcare and radiology, enabling readers to gain a deeper insight into the technological background of AI and the impacts of new and emerging technologies on medical imaging. After an introduction on game changers in radiology, such as deep learning technology, the technological evolution of AI in computing science and medical image computing is described, with explanation of basic principles and the types and subtypes of AI. Subsequent sections address the use of imaging biomarkers, the development and validation of AI applications, and various aspects and issues relating to the growing role of big data in radiology. Diverse real-life clinical applications of AI are then outlined for different body parts, demonstrating their ability to add value to daily radiology practices. The concluding section focuses on the impact of AI on radiology and the implications for radiologists, for example with respect to training. Written by radiologists and IT professionals, the book will be of high value for radiologists, medical/clinical physicists, IT specialists, and imaging informatics professionals"

"Hasrat manusia dalam berkreasi mendorong inovasi secara kontinum untuk menemukan dan mengembangkan temuan-temuan termutakhir, terkhususnya pada bidang teknologi. Penemuan fenomenal yang intensif digunakan dan dikembangkan saat ini adalah kecerdasan buatan (artificial intelligence). Realisasi desain kecerdasan buatan yang telah diluncurkan, marak dipergunakan, dan diperbarui kemampuannya secara berkala adalah model bahasa generatif berbasis model berbahasa besar bernama Chat GPT. Kemunculan dan perkembangannya memantik refleksi filosofis mengenai status ontologis dan proses epistemologis dari ChatGPT dan kecerdasan buatan secara prinsipil. Melalui penelitian ini, peneliti melakukan penelusuran filosofis berlandaskan pada teori kesadaran dan kapabilitas pemahaman (understanding) John Searle. Pengumpulan data dalam penelitian ini dihimpun melalui observasi fenomena dan telaah kajian literatur. Penelitian ini akan mengurai secara sistematis dan filosofis mengenai entitas berkesadaran, mode eksistensinya, dan pengimplentasiannya pada studi kasus ChatGPT menggunakan metode analisis kritis- filosofis untuk menguji prinsip-prinsip fundamental dari kecerdasan buatan dengan kaitannya terhadap spekulasi bahwa kecerdasan buatan bagian dari entitas berkesadaran.

---

The human desire to create encourages continual innovation to discover and develop the latest findings, particularly in the field of technology. A phenomenon that is intensively used and developed today is artificial intelligence. The actualization of artificial intelligence design that has been launched, widely used, and regularly updated is a generative language model based on a large language model called Chat GPT. Its occurrence and development sparked a philosophical reflection on the ontological status and epistemological process of ChatGPT and artificial intelligence in principle. Through this study, the researcher conducted a philosophical exploration based on John Searle's theory of consciousness and understanding capabilities. Data collection in this research is gathered through observation of phenomena and review of literature. This research will systematically and philosophically analyze the conscious entity, its mode of existence, and its implementation in the ChatGPT case study using a critical-philosophical analysis method to examine the fundamental principles of artificial intelligence in relation to the speculation that artificial intelligence is part of a conscious entity."

"This book is a compendium of the ICCMIA 2018 proceedings, which provides an ideal reference for all medical imaging researchers and professionals to explore innovative methods and analyses on imaging technologies for better prospective patient care. This work serves as an exclusive source for new computer assisted clinical and medical developments in imaging diagnosis, intervention and analysis. It includes articles on computer assisted medical scanning techniques, computer-aided diagnosis, robotic surgery and imaging, imaging genomics, clinically-oriented imaging physics and informatics, augmented-reality medical visualization, imaging modalities, computerized radiology, oncology, and surgery. Moreover, information on non-medical imaging that has medical applications such as multi-photon microscopy and confocal, photoacoustic imaging, optical microendoscope, infra-red radiation, and other imaging modalities is also represented."

"This book presents a comprehensive overview of medical image analysis. Practical in approach, the text is uniquely structured by potential applications. Features : presents learning objectives, exercises and concluding remarks in each chapter, in addition to a glossary of abbreviations; describes a range of common imaging techniques, reconstruction techniques and image artefacts, discusses the archival and transfer of images, including the HL7 and DICOM standards, presents a selection of techniques for the enhancement of contrast and edges, for noise reduction and for edge-preserving smoothing, examines various feature detection and segmentation techniques, together with methods for computing a registration or normalisation transformation, explores object detection, as well as classification based on segment attributes such as shape and appearance, reviews the validation of an analysis method, includes appendices on Markov random field optimization, variational calculus and principal component analysis."

"Essential radiology, third edition , is an extensively revised and updated text that provides a highly engaging, integrated overview of the use of radiology in every specialty and subspecialty, covering all imaging modalities and organ systems. It gives medical students in radiology clerkships a solid understanding of how each imaging modality works and how a variety of pathologic conditions appear on different imaging modalities."

"This text is designed for courses in medical imaging systems. It is also suitable for professionals seeking an overview of medical imaging systems.With signal processing as its foundation, Medical Imaging Signals and Systems , Second Edition covers the most important imaging modalities in radiology: projection radiography, x-ray computed tomography, nuclear medicine, ultrasound imaging, and magnetic resonance imaging. "