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ArticleInternational braz j urol : official journal of the Brazilian Society of Urology

A nomogram to predict the absence of clinically significant prostate cancer in males with negative MRI

Masatomo Kaneko, Atsuko Fujihara, Tsuyoshi Iwata, Lorenzo Storino Ramacciotti, Suzanne L Palmer, Masakatsu Oishi, Manju Aron, Giovanni E Cacciamani, Vinay Duddalwar, Go Horiguchi and 4 more

Open access · diamondAbstract read
In one paragraph

Article in International braz j urol : official journal of the Brazilian Society of Urology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 14% 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, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Multicentre Validation of the 2019 Briganti Nomogram: One Threshold Does Not Fit All.International braz j urol : official journal of the Brazilian Society of Urology
    Article
  4. MRI and biopsy in prostate cancer are the hot topic in this number of International Brazilian Journal of Urology.International braz j urol : official journal of the Brazilian Society of Urology
    Article
  5. Validation of the Barcelona-MRI predictive model when PI-RADS v2.1 is used with trans-perineal prostate biopsies.International braz j urol : official journal of the Brazilian Society of Urology
    Article
  6. Article
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

14 authors at 1 institution in 1 country.

Masatomo KanekoUSC Institute of Urology and Catherine & Joseph Aresty, Center for Image-Guided Surgery, Focal Therapy, and Artificial Intelligence for Prostate Cancer, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
Atsuko FujiharaUSC Institute of Urology and Catherine & Joseph Aresty, Center for Image-Guided Surgery, Focal Therapy, and Artificial Intelligence for Prostate Cancer, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
Tsuyoshi IwataUSC Institute of Urology and Catherine & Joseph Aresty, Center for Image-Guided Surgery, Focal Therapy, and Artificial Intelligence for Prostate Cancer, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
Lorenzo Storino RamacciottiUSC Institute of Urology and Catherine & Joseph Aresty, Center for Image-Guided Surgery, Focal Therapy, and Artificial Intelligence for Prostate Cancer, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
Suzanne L PalmerDepartment of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
Masakatsu OishiUSC Institute of Urology and Catherine & Joseph Aresty, Center for Image-Guided Surgery, Focal Therapy, and Artificial Intelligence for Prostate Cancer, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
Manju AronUSC Institute of Urology and Catherine & Joseph Aresty, Center for Image-Guided Surgery, Focal Therapy, and Artificial Intelligence for Prostate Cancer, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
Giovanni E CacciamaniUSC Institute of Urology and Catherine & Joseph Aresty, Center for Image-Guided Surgery, Focal Therapy, and Artificial Intelligence for Prostate Cancer, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
Vinay DuddalwarUSC Institute of Urology and Catherine & Joseph Aresty, Center for Image-Guided Surgery, Focal Therapy, and Artificial Intelligence for Prostate Cancer, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
Go HoriguchiDivision of Data Science, The Clinical and Translational Research Center, University Hospital, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Satoshi TeramukaiDepartment of Biostatistics, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Osamu UkimuraDepartment of Urology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Inderbir S GillUSC Institute of Urology and Catherine & Joseph Aresty, Center for Image-Guided Surgery, Focal Therapy, and Artificial Intelligence for Prostate Cancer, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
Andre Luis AbreuUSC Institute of Urology and Catherine & Joseph Aresty, Center for Image-Guided Surgery, Focal Therapy, and Artificial Intelligence for Prostate Cancer, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
Universidade do Estado do Rio de Janeiro · BR

Funding

Diagnosing clinically-significant prostate cancer in African American men: Systematic random versus MR-image-fusion guided biopsyR01CA205058 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI GILL, INDERBIR, STERN, MARIANA C · 2016 to 2019
$2.1M
NCI NIH HHS R01 CA205058
6 · The paper itself

Abstract

purposeTo create a nomogram to predict the absence of clinically significant prostate cancer (CSPCa) in males with non-suspicion multiparametric magnetic resonance imaging (mpMRI) undergoing prostate biopsy (PBx). MATERIALS AND

methodsWe identified consecutive patients who underwent 3T mpMRI followed by PBx for suspicion of PCa or surveillance follow-up. All patients had Prostate Imaging Reporting and Data System score 1-2 (negative mpMRI). CSPCa was defined as Grade Group ≥2. Multivariate logistic regression analysis was performed via backward elimination. Discrimination was evaluated with area under the receiver operating characteristic (AUROC). Internal validation with 1,000x bootstrapping for estimating the optimism corrected AUROC.

resultsTotal 327 patients met inclusion criteria. The median (IQR) age and PSA density (PSAD) were 64 years (58-70) and 0.10 ng/mL2 (0.07-0.15), respectively. Biopsy history was as follows: 117 (36%) males were PBx-naive, 130 (40%) had previous negative PBx and 80 (24%) had previous positive PBx. The majority were White (65%); 6% of males self-reported Black. Overall, 44 (13%) patients were diagnosed with CSPCa on PBx. Black race, history of previous negative PBx and PSAD ≥0.15ng/mL2 were independent predictors for CSPCa on PBx and were included in the nomogram. The AUROC of the nomogram was 0.78 and the optimism corrected AUROC was 0.75.

conclusionsOur nomogram facilitates evaluating individual probability of CSPCa on PBx in males with PIRADS 1-2 mpMRI and may be used to identify those in whom PBx may be safely avoided. Black males have increased risk of CSPCa on PBx, even in the setting of PIRADS 1-2 mpMRI.

Indexed as

EndometriosisLaparoscopyUreteral DiseasesUrinary Bladder DiseasesCystoscopyHumansUrologic Surgical ProceduresBiopsyMultiparametric Magnetic Resonance ImagingProstatic Neoplasms

Identifiers

PMID37450770
PMCPMC11152327
OpenAlexW4384401384

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.