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"Il successo del trattamento chirurgico implantare è strettamente correlato a un’adeguata pianificazione dell’intervento e a una rigorosa valutazione preoperatoria. L’impiego di software di ricostruzione delle immagini dedicati alla diagnostica dentale, del tipo Dentascan, permette di ottenere ricostruzioni cross-section e simil-panoramiche (panorex) che misurano la quantità di tessuto osseo disponibile e definiscono accuratamente le strutture anatomiche contigue o la presenza di eventuali patologie associate. Questo manuale, dal taglio pratico e sintetico, affronta le principali questioni di ordine tecnico e metodologico relative allo studio TC mirato delle arcate dentarie e alla descrizione dell’anatomia e dei punti critici. Particolare rilievo è attribuito alle problematiche relative alla valutazione pre-implantologica, ai risultati e alle complicanze del trattamento, con cenni anche ad alcune indicazioni extra-implantari"

"Given the rapid evolution of radiological imaging in the past four decades, medical image processing nowadays is an essential tool for clinical research. Applications range from research in neuroscience, biomechanics and biomedical engineering to clinical routine tasks such as the visualization of huge datasets provided by modern computed tomography systems in radiology, the manufacturing of patient-specific prostheses for orthopedic surgery, the precise planning of dose distributions in radiation oncology, the fusion of multimodal image data for therapymonitoring in internal medicine, and computer-aided neurosurgical interventions."

"Optimize diagnostic accuracy in the emergency department with Problem Solving in Radiology: Emergency Radiology, a new addition to the popular Problem Solving in Radiology series. Published in association with the American Society of Emergency Radiology, the medical reference book is designed to help experienced radiologists, residents, or emergency medicine practitioners accurately address problematic conditions and reach the most accurate diagnosis. Consult this title on your favorite e-reader, conduct rapid searches, and adjust font sizes for optimal readability.Access problem-oriented con."

"Penelitian ini bertujuan untuk mengevaluasi penggunaan ultrasonografi sebagai pemeriksaan pelengkap mamografi dalam mendeteksi awal kelainan payudara berdasarkan perbedaan densitas payudara pada mamografi.Rumusan MasalahKepadatan payudara menurunkan tingkat kepekaan mamografi sehingga dapat terjadi false negatif pada mamografi. Sehingga diperlukan pemeriksaan yang non invasif dan relatif murah seperti ultrascnografi untuk meningkatkan kepekaan mamografi.Berdasarkan uraian dalani latar belakang masalah di alas maka dapat dirumuskan beberapa pertanyaan penelitian antara lain :1. Gradasi berapa pada mamogram yang memerlukan ultrasonografi sebagai pemeriksaan tambahan mamografi,2. Berapa peningkatan kepekaan mamogram yang tidak ditemukan massa dengan penggunaan ultrasonografi sebagai pemeriksaan pelengkap dalam mengevaluasi kelainan payudara."

"Tujuan: Mengetahui sensitivitas dan spesifisitas Ultrasonografi Doppler Berwarna (USG DB) dibandingkan dengan pemeriksaan histopatologi dalam menilai metastasis kelenjar getah bening (KGB) aksila level I pada pasien karsinoma payudara (KPD).Saban dan Metode: Pemeriksaan USG DB dilakukan pada 39 KGB aksila dari 17 pasien yang memenuhi kriteria penerimaan. USG DB menilai KGB dengan B-mode, Color mode clan Doppler mode untuk kemudian dibandingkan dengan pemeriksaan histopatologi, Pemeriksaan dilakukan menggunakan transduser linear frekuensi 10 MHz (GE, Logiq 3).Hasil penelitian: Pada pemeriksaan USG Doppler mode didapatkan sensitivitas 73,3%, spesifisitas 87,5%, yang bennakna secara statistik. Pemeriksaan USG Co/or mode mempunyai nilai kappa dan spesifisitas yang rendah, meskipun bermakna secara statistik. Pemeriksaan USG lainnya (B-mode maupun kombinasi) tidak memberikan hasil yang bermakna.Kesimpulan: Pemeriksaan USG Doppler mode mempunyai sensitivitas dan spesifisitas yang baik dan bermakna secara statistik. Hal ini diharapkan dapat membantu klinisi dalam menilai metastasis kelenjar getah bening aksila secara non-invasif.

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Objective: To establish sensitivity and specificity of Color Doppler Ultrasound (CDU) in the assessment of level ! axillary lymph nodes metastases in breast cancer patients.

Material and methods:. CDU was performed in 39 aril/my lymph nodes from 17 patients, to evaluate B-mode, Color erode dan Doppler mode images in comparison with histopathologic finding of metastases. CDU examination was performed using linear transducers 1OMHz (GE, Log-4 3).

Results: The sensitivity and specificity of Doppler mode in CDU were 73,3% and 87,5%, and they were statistically significant. Although color mode evaluation was statistically significant, its specificity and kappa value are low. Other evaluations such as B-mode or combination mode gave unsignificant results,

Conclusion: Doppler mode in CDU examination has a good sensitivity and specificity in detecting axillary lymph nodes metastases. It is considered useful for the clinicians in evaluating lymph nodes status using non-invasive procedure."

"Pada penelitian ini bertujuan untuk merancang dan membuat perangkat lunak simulasi penyinaran radiografi dengan metode ray tracing menggunakan bahasa pemrograman Python. Metode ray tracing dilakukan dengan menghitung intensitas yang diterima detektor setelah melewati suatu materi dan mengalami atenuasi. Penelitian ini dimulai dengan memodelkan fantom TOR 18FG sebagai objek penyinaran. Merancang dan membuat modul simulasi penyinaran monoenergi pada energi 50 keV dan melakukan validitas terhadap perangkat lunak dengan membandingkan citra hasil simulasi dengan citra referensi kemudian menghitung persentase kesalahannya pada geometri dengan perhitungan statistik Mean Absolute Error (MAPE) dan nilai kontras citra dengan perhitungan statistik Mean Absolute Percentage Error (MAE). Pada validasi geometri, persentase kesalahan absolut perangkat lunak sebesar 4,082%. Sedangkan pada validasi nilai kontras, besar kesalahan absolut perangkat lunak sebesar 27,5%. Hasil dari penelitian ini, didapatkan perangkat lunak sederhana yang menyajikan pemodelan penyinaran dengan metode ray tracing dalam bentuk GUI yang dapat menginput nilai intensitas awal berupa jumlah foton dan menghasilkan output berupa citra fantom dengan tingkat akurasi yang tinggi secara geometri, tetapi tingkat akurasi secara nilai kontras masih rendah.

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In this study aims to design and manufacture radiographic irradiation simulation software using the ray tracing method using the Python programming language. The ray tracing method is performed by calculating the intensity received by the detector after passing through a material and experiencing attenuation. This research begins by modeling the TOR 18FG phantom as an irradiating object. Designing and manufacturing a monoenergy irradiation simulation module at 50 keV energy and validating the software by comparing the simulated image with a reference image and then calculating the percentage error in the geometry by calculating the Mean Absolute Error (MAPE) and the contrast value of the image by calculating the Mean Absolute Percentage Errors (MAE). In geometry validation, the software absolute error percentage is 4.082%. Whereas in the validation of contrast values, the software absolute error is 27.5%. The results of this study, obtained simple software that presents irradiation modeling with the ray tracing method in the form of a GUI that can input the initial intensity value in the form of the number of photons and produces an output in the form of a phantom image with a high degree of accuracy in terms of geometry, but the level of accuracy in terms of contrast value is still low."