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"Pendahuluan: Ultrasonography adalah modalitas radiologis terpilih untuk mendeteksi dan evaluasi gambaran morfologis nodul tiroid. Thyroid Imaging Reporting and Data System (TIRADS) adalah sistem untuk mengevaluasi resiko keganasan nodul tiroid, yang diajukan pertama oleh Horvath et al. Terdapat berbagai variasi sistem TIRADS diajukan oleh peneliti - peneliti lain. Sampai saat ini belum ditemukan penelitian untuk mengevaluasi penerapan atau nilai diagnostik sistem TIRADS di indonesia. Metode: Penelitian diagnostik dengan pendekatan potong lintang menggunakan evaluasi retrospektif data USG dan histopatologis untuk mengetahui kesesuaian sistem TIRADS dibandingkan pemeriksaan histopatologis pada nodul tiroid. Hasil: Terdapat hubungan kesesuaian (p=0.065) antara hasil TIRADS dan hasil histopatologis nodul tiroid. Sistem TIRADS memberikan nilai sensitivitas 96,4%, nilai spesifisitas 83.0%, nilai prediksi positif 85,7%, dan nilai prediksi negatif 95,7%. Kesimpulan: Sistem TIRADS dapat diterapkan pada evaluasi dan pelaporan hasil USG tiroid dengan memiliki nilai diagnostik yang baik.

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Introduction: Ultrasonography is the modality of choice to detect, and to evaluate the morphology of thyroid nodule. Thyroid Imaging Reporting and Data System (TIRADS) is a system to evaluate risk of malignancy of thyroid nodule first proposed by Horvath et al. There are various TIRADS system proposed by other authors. Until the writing of this study there is not yet found a study to evaluate implementation and diagnostic value of TIRADS system in indonesia.

Methods: Diagnostic study with cross sectional approach using retrospective evaluation of ultrasonography data and histopathology data to evaluate conformity relationship between TIRADS and histopathological result of thyroid nodule.

Results: There is comparable result (p=0.065) between TIRADS result and histopathological result of thyroid nodule.

Conclusion: The TIRADS system resulted in 96,4% sensitivity, 83.0% specificity, 85,7% positive predictive value, dan 95,7% negative predictive value."

"His 2nd edition of the Practical Guide to Emergency Ultrasound addresses your need for a practical, comprehensive, how-to book on ultrasound techniques in the emergency department, including new and expanded applications. Organized in an easy-to-navigate problem-based and symptom-based approach, chapters cover many uses for ultrasound in the ED and proper ultrasound technique. Over 900 images, many in full color, illustrate key concepts and diagnoses, including the use of echocardiography in the ED and newer applications for imaging ocular, musculoskeletal injuries and the use of ultrasound in the management of undifferentiated hypotension and dyspnea. Chapters on newer applications of ultrasound including thoracic, inferior vena cava, musculoskeletal, and ocular imaging; newer and evolving applications for procedural guidance, including nerve blocks; new and highlighted content for Pediatric applications; and chapters on prehospital use, and use in resource-limited settings. Entire section focusing on Ultrasound use in the Resuscitation of Acute Injury or Illness. Over 900 images demonstrate key diagnoses and proper ultrasound technique. Over 175 online video clips that display more realistic three-dimensional views. More than 60 additional online-only images for several chapters."

"Latar belakang: Performa skrining Automated Breast Ultrasound (ABUS) untuk kanker payudara masih belum jelas. Kami melakukan telaah sistematis untuk mendapatkan performa skrining ABUS untuk kanker payudara. Metode: Kami mencari dalam database PubMed, Scopus, ClinicalTrials.gov, dan OpenGrey untuk mengidentifikasi studi yang memenuhi syarat hingga 18 Maret 2021. Studi yang menggunakan ABUS untuk membedakan tumor payudara jinak dan ganas dalam kondisi skrining atau dengan partisipan asimtomatik diinklusi ke dalam telaah sistematis. Telaah sistematis dilakukan untuk mengetahui dua parameter (kisaran untuk rerata sensitivitas dan kisaran untuk rerata spesifisitas) dan prevalensi kanker payudara di populasi. Hasil: Empat penelitian yang melibatkan 4.252 pasien (dengan 126 kanker payudara yang dikonfirmasi secara histopatologis) dimasukkan dalam telaah sistematis performa skrining ABUS. Rerata sensitivitas terendah untuk ABUS adalah 62% (95% confidence interval (CI) 47% – 75%) dan rerata sensitivitas tertinggi 98% (95% CI 87% – 100%). Rerata spesifisitas terendah untuk ABUS adalah 68% (95% CI 55% – 78%), sedangkan rerata spesifisitas tertinggi 100% (95% CI 99% – 100%). Bias publikasi tidak dievaluasi karena jumlah studi yang diikutsertakan sedikit. Prevalensi kanker payudara pada populasi diperkirakan antara 1,25% - 3,59%. Kesimpulan: Mempertimbangkan keunggulan ABUS termasuk non-radioaktivitas, rekonstruksi tiga dimensi, potongan khusus (potongan koronal), dan penghematan waktu, maka ABUS dapat menjadi alat skrining kanker payudara yang potensial terutama pada perempuan berdensitas payudara padat. Perangkat lain yang cukup menjanjikan untuk meningkatkan sensitivitas ABUS seperti sistem kecerdasan buatan/computer-aided system perlu lebih dieksplorasi.

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Background: The screening performance of an Automated Breast Ultrasound (ABUS) for breast cancer remains unclear. We performed a systematic review to get the screening performance of the ABUS for breast cancer. Methods: We searched PubMed, Scopus, ClinicalTrials.gov, and OpenGrey databases to identify eligible studies up until March 18, 2021. Studies using ABUS for differentiating benign and malignant breast tumors in screening conditions or asymptomatic participants were included. A systematic review was performed to understand two parameters (range of mean sensitivity, range of mean specificity) and prevalence of breast cancers in the populations. Results: Four studies involving 4,252 patients (with 126 histopathologically confirmed breast cancers) were included in the systematic review for screening performance of ABUS. The lowest mean sensitivity for ABUS was 62% (95% confidence interval (CI) 47% – 75%) while the highest mean sensitivity was 98% (95% CI 87% – 100%). The lowest mean specificity for ABUS was 68% (95% CI 55% – 78%), while the highest mean specificity was 100% (95% CI 99% – 100%). The publication bias was not evaluated because of the small number of studies included. The prevalence of breast cancers in the populations was estimated (between 1.25% – 3.59%). Conclusion: Considering ABUS advantages including non-radioactivity, three-dimensional reconstruction, special view (coronal view), and time-saving, ABUS is a potential screening tool for breast cancer especially in dense-breast women. Another promising tool that can increase ABUS sensitivity such as artificial intelligent/computer-aided system needs to be explored."

"Praise for the previous edition: Remarkable, richly illustrated textbook ... enriched by numerous demonstrative illustrations ... the quality of all the 2397 illustrations is an iconographic achievement. Practically no criticism can be raised for this most remarkable book, which one expects will have a wide diffusion. -- Clinical Imaging Differential Diagnosis in Ultrasound Imaging, Second Edition, is a complete revision and extension of this best-selling Thieme title, bringing it up to date with the very latest clinical and technological standards. With a specific focus on general abdominal.This book focuses on general abdominal, genitourinary, and thyroid pathologies to guide readers through the process of sonographic differential diagnosis."