Evidence map›Paper›PMID 37936016›Full record

ReviewCurrent urology reports2023

Management Strategy for Prostate Imaging Reporting and Data System Category 3 Lesions.

Zhen Kang, Daniel J Margolis, Shaogang Wang, Qiubai Li, Jian Song, Liang Wang

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current urology reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.6field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 5 institutions in 2 countries.

Zhen KangDepartment of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Daniel J MargolisDepartment of Radiology, Weill Cornell Medicine/New York Presbyterian, New York, NY, USA.
Shaogang WangDepartment of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Qiubai LiDepartment of Radiology, University Hospitals Cleveland Medical Center, Cleveland, OH, USA.
Jian SongDepartment of Urology, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Liang WangDepartment of Radiology, Beijing Friendship Hospital, Capital Medical University, 36 Yong'an Rd, Xicheng District, Beijing, 100016, China. 1311935212@qq.com.
Capital Medical University · CNBeijing Friendship Hospital · CNCornell University · USTongji Hospital · CNUniversity Hospitals of Cleveland · US

Funding

National Natural Science Foundation of China 82071887, 81671656
6 · The paper itself

Abstract

purpose of reviewProstate Imaging Reporting and Data System (PI-RADS) category 3 lesions present a clinical dilemma due to their uncertain nature, which complicates the development of a definitive management strategy. These lesions have an incidence rate of approximately 22-32%, with clinically significant prostate cancer (csPCa) accounting for about 10-30%. Therefore, a thorough evaluation is warranted. RECENT

findingsThis review highlights the need for radiology peer review, including the confirmation of dynamic contrast-enhanced (DCE) compliance, as the initial step. Additional MRI models such as VERDICT or Tofts need to be verified. Current evidence shows that imaging and clinical indicators can be used for risk stratification of PI-RADS 3 lesions. For low-risk lesions, a safety net monitoring approach involving annual repeat MRI can be employed. In contrast, lesions deemed potentially risky based on prostate-specific antigen density (PSAD), 68 Ga-PSMA PET/CT, MPS, Proclarix, or AI/machine learning models should undergo biopsy. It is recommended to establish a multidisciplinary team that takes into account factors such as age, PSAD, prostate, and lesion size, as well as previous biopsy pathological findings. Combining expert opinions, clinical-imaging indicators, and emerging methods will contribute to the development of management strategies for PI-RADS 3 lesions.

Indexed as

Prostatic NeoplasmsHumansImage-Guided BiopsyMagnetic Resonance ImagingMalePositron Emission Tomography Computed TomographyProstateRetrospective StudiesManagement strategyProstate Imaging Reporting and Data System category 3

Identifiers

PMID37936016
OpenAlexW4388475722

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.