Publications by authors named "Benjamin Navot"
Article Synopsis
- This study aimed to see if a web-based application could help non-chest radiologists better diagnose pulmonary fibrosis by reviewing various chest CT scans.
- Three radiologists examined multiple rounds of CT scans, initially diagnosing independently and later using suggested features from the application over time.
- Results showed an increase in diagnostic accuracy from 63% to 74% over the rounds, with specific improvements when refining definitions of features used for diagnosis, particularly enhancing accuracy for a type of fibrosis called NSIP.
Radiology of fibrosis part III: genitourinary system.
J Transl Med
July 2024
Article Synopsis
- Fibrosis is the abnormal buildup of connective tissue due to improper healing from injuries like lack of oxygen, infections, or trauma, affecting any organ and leading to dysfunction and failure.
- It also plays a significant role in cancer development, making early diagnosis and monitoring vital for improving patient outcomes.
- This paper specifically examines fibrosis in the genito-urinary system, highlighting current imaging technologies for detection and suggesting possible future research directions.
Radiology of fibrosis part II: abdominal organs.
J Transl Med
July 2024
Article Synopsis
- Fibrosis is an abnormal buildup of connective tissue due to prolonged injuries like low oxygen, infections, or physical damage, which can lead to organ dysfunction and failure.
- It is also linked to cancer development and progression, making early diagnosis and monitoring crucial for treatment and improving patient outcomes.
- The text highlights the need for better understanding and application of advanced imaging techniques to detect fibrosis in abdominal organs, discussing both current technologies and future developments for early diagnosis.
Radiology of fibrosis. Part I: Thoracic organs.
J Transl Med
July 2024
Article Synopsis
- - Injury from factors like low oxygen, infections, or physical damage can disrupt normal tissue repair, leading to fibrosis, which affects organ function and can cause organ failure.
- - Fibrosis plays a significant role in cancer development and progression, making early diagnosis and ongoing monitoring crucial for managing diseases and improving patients' quality of life.
- - This work aims to review current imaging technologies used to detect fibrosis in thoracic organs and discuss future advancements in these imaging methods.
Article Synopsis
- The study focused on developing a deep learning model to identify severe left ventricular hypertrophy (SLVH) and dilated left ventricle (DLV) from chest X-rays (CXRs), which could help in early heart failure detection.
- It analyzed 71,589 CXRs from nearly 25,000 patients, validated the model's performance against external data, and compared its accuracy to that of board-certified radiologists.
- The model achieved strong results, outperforming radiologists in detecting abnormalities and providing a publicly available dataset to support further research in this area.
Background: Noncontrast CT (NCCT) is used to evaluate for intracerebral hemorrhage (ICH) and ischemia in acute ischemic stroke (AIS). Large vessel occlusions (LVOs) are a major cause of AIS, but challenging to detect on NCCT.
Aims: The purpose of this study is to evaluate an AI software called RAPID NCCT Stroke (RAPID, iSchemaView, Menlo Park, CA) for ICH and LVO detection compared to expert readers.
Developing radiology diagnostic tools for pulmonary fibrosis using machine learning methods.
Clin Imaging
February 2024
Article Synopsis
- Accurate diagnosis of pulmonary fibrosis patterns is critical but complicated due to similar radiographic features.
- A study analyzed 400 patients using machine learning techniques to identify key radiographic characteristics and developed a diagnostic app.
- The Bayesian additive regression tree outperformed other methods by accurately predicting diagnoses and providing uncertainty intervals, making it a valuable tool for radiologists.
A Right Atrial Mass Discovered Postpartum: A Diagnostic Challenge.
CASE (Phila)
August 2023
• Most primary cardiac tumors are benign with a broad differential diagnosis. • Imaging helps characterize tumors, but pathology is required for final diagnosis. • Cardiac hemangiomas are rare and often misdiagnosed, requiring biopsy.
View Article and Find Full Text PDFLiver Transplant for Nonhepatocellular Malignancies: A Review for Radiologists.
AJR Am J Roentgenol
October 2022
Although liver transplant is traditionally only performed for hepatocellular carcinoma (HCC), the last decade has seen a resurgence in its use for non-HCC malignancies, likely due to improvements in neoadjuvant treatment regimens and the establishment of well-defined eligibility criteria. Given promising survival results, patients with perihilar cholangiocarcinoma, neuroendocrine liver metastases, and hepatic hemangioendothelioma are eligible to receive Model for End-Stage Liver Disease (MELD) exception points for tumors that meet well-defined criteria. Patients with additional tumors such as colorectal cancer liver metastases, intrahepatic cholangiocarcinoma, and hepatocellular cholangiocarcinoma may undergo transplant at specialized centers with well-defined protocols, although these patients are not yet eligible for MELD exception.
View Article and Find Full Text PDFMR Angiography Series: Fundamentals of Non-Contrast-enhanced MR Angiography.
Radiographics
November 2021
Unlike CT angiography, which requires the use of contrast medium, MR angiography (MRA) can be performed without the use of contrast agents. This subfield of MRA is referred to as non-contrast-enhanced MRA (NC-MRA). While NC-MRA can be performed in many patients, it is especially useful in the imaging of pediatric and pregnant patients, as well as in patients with renal impairment.
View Article and Find Full Text PDFDiffuse Peripheral Zone T2 Hypointensity: When to Worry About Prostate Cancer.
J Comput Assist Tomogr
July 2019
Objective: Evaluate the accuracy of an obscured surgical capsule (OSC) for detecting diffuse prostate cancer (PCa) in the setting of diffusely T2 hypointense peripheral zones (PZs) on prostate magnetic resonance imaging.
Methods: Axial T2-weighted sequences of prostate magnetic resonance imaging performed on July 1, 2015, to August 1, 2017, were blindly assessed for diffusely T2 hypointense PZs, OSC, and focal diffusion abnormalities by 2 radiologists. Diffuse PCa was defined by the presence of bilateral PCa on at least 4 contiguous biopsy cores involving 2/3 levels.