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

Data Reporting and Recording01:24

Data Reporting and Recording

5.5K
Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
5.5K
Types of Reports I: Hands-off Report01:25

Types of Reports I: Hands-off Report

1.6K
A hand-off report, also known as a change-of-shift report, is a crucial nursing process that ensures the smooth transition of patient care responsibilities between nursing staff.
Following are the key components and categories of hand-off reports:
Purpose and Process:
1.6K
Types of Reports II: Incident or Occurrence Report01:21

Types of Reports II: Incident or Occurrence Report

1.3K
An Incident or Occurrence Report in a healthcare setting is a crucial document used to record any unexpected occurrence that may or may not have affected a patient, employee, or visitor. Such reports are critical to improving patient safety and include all details leading up to and including the event.
Purposes:
In the healthcare industry, reports play a crucial role in documenting incidents within an agency. The primary objective of these reports is to ensure patient safety, uphold the...
1.3K
How Data are Classified: Categorical Data01:11

How Data are Classified: Categorical Data

45.2K
A variable, usually notated by capital letters such as X and Y, is a characteristic or measurement that can be determined for each member of a population. Data are the actual values of variables. They may be numbers, or they may be words. Datum is a single value.
Data are classified based on whether they are measurable or not. Categorical data cannot be measured; instead, it can be divided into categories. For example, if Y denotes a person's party affiliation, some examples of Y include...
45.2K
How Data are Classified: Numerical Data00:59

How Data are Classified: Numerical Data

38.4K
Data that are countable or measurable in specific units are called numerical or quantitative data. Quantitative data are always numbers. Quantitative data are the result of counting or measuring the attributes of a population. Amount of money, pulse rate, weight, number of people living in a town, and number of students who opt for statistics are examples of quantitative data.
Quantitative data may be either discrete or continuous. All quantitative data that take on only specific numerical...
38.4K
Types of Reports III: Telephone and Verbal Reports01:26

Types of Reports III: Telephone and Verbal Reports

1.0K
Telephone and Verbal Reports in healthcare settings are two communication methods for conveying therapeutic instructions from healthcare providers to nurses or other healthcare staff.
Here's an overview of each type:
Telephone Orders
1.0K

You might also read

Related Articles

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

Sort by
Same author

The feasibility of [<sup>18</sup>F]PSMA-1007 PET/CT for response assessment in prostate cancer following neoadjuvant androgen deprivation therapy compared with mpMRI.

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

Navigating PI-RADS v2.1 in clinical practice: pitfalls, variability, and the supportive role of AI.

Abdominal radiology (New York)·2026
Same author

Correction: League of Radiologists-an End-to-End AI Framework for Scalable and Gamified Radiology Education: A Pilot Implementation in Chest Radiography.

Journal of imaging informatics in medicine·2026
Same author

League of Radiologists-an End-to-End AI Framework for Scalable and Gamified Radiology Education: A Pilot Implementation in Chest Radiography.

Journal of imaging informatics in medicine·2026
Same author

Responding to an Institutional Directive to Implement Artificial Intelligence for Prostate MRI Interpretation and Reporting.

AJR. American journal of roentgenology·2026
Same author

Staging and imaging-based prognostication in renal cell carcinoma: current guidelines and practical considerations.

Abdominal radiology (New York)·2026

Related Experiment Video

Updated: Feb 13, 2026

Use of Magnetic Resonance Imaging and Biopsy Data to Guide Sampling Procedures for Prostate Cancer Biobanking
05:49

Use of Magnetic Resonance Imaging and Biopsy Data to Guide Sampling Procedures for Prostate Cancer Biobanking

Published on: October 10, 2019

7.1K

Prostate Imaging-Reporting and Data System Version 2: Beyond Prostate Cancer Detection.

Sung Yoon Park1, Nam Hoon Cho2, Dae Chul Jung1

  • 1Department of Radiology, Yonsei University College of Medicine, Seoul 03722, Korea.

Korean Journal of Radiology
|March 10, 2018
PubMed
Summary

Prostate Imaging-Reporting and Data System Version 2 (PI-RADSv2) effectively detects prostate cancer. This study explores PI-RADSv2

Keywords:
Magnetic resonance imagingPI-RADSPrognosisProstate cancerRecurrence

More Related Videos

miRNA Expression Analyses in Prostate Cancer Clinical Tissues
11:29

miRNA Expression Analyses in Prostate Cancer Clinical Tissues

Published on: September 8, 2015

11.3K
Isolation of Cancer Stem Cells From Human Prostate Cancer Samples
07:16

Isolation of Cancer Stem Cells From Human Prostate Cancer Samples

Published on: March 14, 2014

14.7K

Related Experiment Videos

Last Updated: Feb 13, 2026

Use of Magnetic Resonance Imaging and Biopsy Data to Guide Sampling Procedures for Prostate Cancer Biobanking
05:49

Use of Magnetic Resonance Imaging and Biopsy Data to Guide Sampling Procedures for Prostate Cancer Biobanking

Published on: October 10, 2019

7.1K
miRNA Expression Analyses in Prostate Cancer Clinical Tissues
11:29

miRNA Expression Analyses in Prostate Cancer Clinical Tissues

Published on: September 8, 2015

11.3K
Isolation of Cancer Stem Cells From Human Prostate Cancer Samples
07:16

Isolation of Cancer Stem Cells From Human Prostate Cancer Samples

Published on: March 14, 2014

14.7K

Area of Science:

  • Radiology and Oncology
  • Medical Imaging

Background:

  • Prostate Imaging-Reporting and Data System Version 2 (PI-RADSv2) is crucial for detecting clinically significant prostate cancer (csPCa).
  • Its diagnostic performance has been validated, influencing clinical management strategies.

Purpose of the Study:

  • To evaluate the extended utility of PI-RADSv2 beyond cancer detection.
  • To assess PI-RADSv2's correlation with key prostate cancer (PCa) characteristics.

Main Methods:

  • Review of studies assessing PI-RADSv2 performance.
  • Analysis of PI-RADSv2 findings in relation to Gleason score, tumor volume, and metastasis.

Main Results:

  • PI-RADSv2 shows potential in assessing tumor characteristics.
  • Further research is needed to fully establish its role in predicting outcomes.

Conclusions:

  • PI-RADSv2 offers valuable insights into prostate cancer characteristics.
  • Its application may extend to predicting treatment response and recurrence.