Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Imaging Studies I: Kidney, Ureter, and Bladder Studies01:28

Imaging Studies I: Kidney, Ureter, and Bladder Studies

528
Kidney, Ureter, and Bladder (KUB) StudiesKidney, Ureter, and Bladder (KUB) studies are standard diagnostic imaging procedures used to assess the anatomy of the urinary system. They are commonly utilized for patients experiencing abdominal pain or urinary symptoms. By using a simple X-ray of the abdomen, KUB studies can reveal structural and pathological abnormalities within the kidneys, ureters, and bladder. These studies are particularly valuable in diagnosing kidney stones, urinary...
528

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

What's next for VI-RADS? Updates and future perspectives from the ACR VI-RADS steering committee.

Cancer imaging : the official publication of the International Cancer Imaging Society·2026
Same author

Is PSMA PET/CT the answer to MRI-occult prostate cancer? Yes, but with strings attached.

European radiology·2026
Same author

Response to "Beyond binary response: toward quantitative imaging biomarkers after SBRT in prostate cancer".

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology·2026
Same author

Focal Small Bowel FDG Uptake in Cancer Patients Undergoing PET/CT: Prevalence and Etiology.

Clinical nuclear medicine·2026
Same author

Cancer in Organ Recipients With Metastatic Spread to Transplant Organs: A Systematic Review.

Clinical transplantation·2026
Same author

Renal Oncocytic Neoplasms: Review of Classification Updates, Imaging, and Management.

Radiographics : a review publication of the Radiological Society of North America, Inc·2026

Related Experiment Video

Updated: Mar 7, 2026

In Vivo, Percutaneous, Needle Based, Optical Coherence Tomography of Renal Masses
09:31

In Vivo, Percutaneous, Needle Based, Optical Coherence Tomography of Renal Masses

Published on: March 30, 2015

9.3K

Differentiation of Small, Solid Renal Masses: A Pattern Recognition Approach.

Sungmin Woo1, Seung Hyup Kim2

  • 1Department of Radiology, Seoul National University College of Medicine, Seoul, South Korea.

Seminars in Ultrasound, CT, and MR
|February 27, 2017
PubMed
Summary
This summary is machine-generated.

The increasing detection of small renal masses (SRMs) necessitates distinguishing benign tumors from renal cell carcinomas (RCCs). Radiologists must recognize characteristic imaging patterns to guide optimal patient management for these SRMs.

More Related Videos

Author Spotlight: Developing a Bedside Protocol for Kidney and Genitourinary Ultrasonography
03:19

Author Spotlight: Developing a Bedside Protocol for Kidney and Genitourinary Ultrasonography

Published on: June 21, 2024

2.6K
Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

7.6K

Related Experiment Videos

Last Updated: Mar 7, 2026

In Vivo, Percutaneous, Needle Based, Optical Coherence Tomography of Renal Masses
09:31

In Vivo, Percutaneous, Needle Based, Optical Coherence Tomography of Renal Masses

Published on: March 30, 2015

9.3K
Author Spotlight: Developing a Bedside Protocol for Kidney and Genitourinary Ultrasonography
03:19

Author Spotlight: Developing a Bedside Protocol for Kidney and Genitourinary Ultrasonography

Published on: June 21, 2024

2.6K
Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

7.6K

Area of Science:

  • Radiology
  • Oncology
  • Medical Imaging

Background:

  • Cross-sectional imaging advancements have led to a significant rise in small renal mass (SRM) detection.
  • SRMs encompass diverse subtypes, including renal cell carcinomas (RCCs) and benign tumors like angiomyolipomas.
  • Accurate differentiation between malignant RCCs and benign SRMs is critical for appropriate patient management.

Purpose of the Study:

  • To highlight the importance of recognizing distinct imaging patterns for SRMs.
  • To aid radiologists in differentiating between RCCs and benign SRMs based on imaging characteristics.
  • To provide a review of well-established imaging patterns associated with various SRMs.

Main Methods:

  • Review of existing literature on imaging patterns of small renal masses.
  • Description of characteristic imaging features for differentiating RCCs from benign SRMs.
  • Focus on pattern recognition in radiological assessment of SRMs.

Main Results:

  • Specific imaging patterns are associated with different subtypes of SRMs.
  • Characteristic features can help distinguish malignant RCCs from benign lesions.
  • Familiarity with these patterns improves diagnostic accuracy in SRM evaluation.

Conclusions:

  • Radiological pattern recognition is essential for the accurate diagnosis of small renal masses.
  • Effective differentiation between RCCs and benign SRMs impacts clinical decision-making and patient outcomes.
  • This review consolidates key imaging findings for radiologists encountering SRMs.