Literature DB >> 20061202

Characterizing the range of simulated prostate abnormalities palpable by digital rectal examination.

Leigh A Baumgart1, Gregory J Gerling, Ellen J Bass.   

Abstract

BACKGROUND: Although the digital rectal exam (DRE) is a common method of screening for prostate cancer and other abnormalities, the limits of ability to perform this hands-on exam are unknown. Perceptible limits are a function of the size, depth, and hardness of abnormalities within a given prostate stiffness.
METHODS: To better understand the perceptible limits of the DRE, we conducted a psychophysical study with 18 participants using a custom-built apparatus to simulate prostate tissue and abnormalities of varying size, depth, and hardness. Utilizing a modified version of the psychophysical method of constant stimuli, we uncovered thresholds of absolute detection and variance in ability between examiners.
RESULTS: Within silicone-elastomers that mimic normal prostate tissue (21kPa), abnormalities of 4mm diameter (20mm(3) volume) and greater were consistently detectable (above 75% of the time) but only at a depth of 5mm. Abnormalities located in simulated tissue of greater stiffness (82kPa) had to be twice that volume (5mm diameter, 40mm(3) volume) to be detectable at the same rate.
CONCLUSIONS: This study finds that the size and depth of abnormalities most influence detectability, while the relative stiffness between abnormalities and substrate also affects detectability for some size/depth combinations. While limits identified here are obtained for idealized substrates, this work is useful for informing the development of training and allowing clinicians to set expectations on performance.

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Mesh:

Year:  2010        PMID: 20061202      PMCID: PMC2858587          DOI: 10.1016/j.canep.2009.12.002

Source DB:  PubMed          Journal:  Cancer Epidemiol        ISSN: 1877-7821            Impact factor:   2.984


  15 in total

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Authors:  Gregory J Gerling; Alicia M Weissman; Geb W Thomas; Edwin L Dove
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2.  Effect of clinical breast examination training on practitioner's perceived competence.

Authors:  Ronald J Lannotti; Lila J Finney; Alice Anne Sander; Jessica M De Leon
Journal:  Cancer Detect Prev       Date:  2002

3.  Lump detection is enhanced in silicone breast models simulating postmenopausal breast tissue.

Authors:  M M McDermott; N C Dolan; J Huang; D Reifler; A W Rademaker
Journal:  J Gen Intern Med       Date:  1996-02       Impact factor: 5.128

4.  Physicians' abilities to detect lumps in silicone breast models.

Authors:  S W Fletcher; M S O'Malley; L A Bunce
Journal:  JAMA       Date:  1985-04-19       Impact factor: 56.272

5.  Major stimulus dimensions determining detection of simulated breast lesions.

Authors:  H S Bloom; E L Criswell; H S Pennypacker; A C Catania; C K Adams
Journal:  Percept Psychophys       Date:  1982-09

6.  Tumor size and detection in breast cancer: Self-examination and clinical breast examination are at their limit.

Authors:  Uwe Güth; Dorothy Jane Huang; Marco Huber; Andreas Schötzau; Daniela Wruk; Wolfgang Holzgreve; Edward Wight; Rosanna Zanetti-Dällenbach
Journal:  Cancer Detect Prev       Date:  2008-09-13

7.  Improving clinical breast examination training in a medical school: a randomized controlled trial.

Authors:  C Pilgrim; C Lannon; R P Harris; W Cogburn; S W Fletcher
Journal:  J Gen Intern Med       Date:  1993-12       Impact factor: 5.128

8.  Improving physicians' and nurses' clinical breast examination: a randomized controlled trial.

Authors:  H S Campbell; S W Fletcher; C A Pilgrim; T M Morgan; S Lin
Journal:  Am J Prev Med       Date:  1991 Jan-Feb       Impact factor: 5.043

9.  Improved detection of human breast lesions following experimental training.

Authors:  D C Hall; C K Adams; G H Stein; H S Stephenson; M K Goldstein; H S Pennypacker
Journal:  Cancer       Date:  1980-07-15       Impact factor: 6.860

10.  Prevalence of prostate cancer among men with a prostate-specific antigen level < or =4.0 ng per milliliter.

Authors:  Ian M Thompson; Donna K Pauler; Phyllis J Goodman; Catherine M Tangen; M Scott Lucia; Howard L Parnes; Lori M Minasian; Leslie G Ford; Scott M Lippman; E David Crawford; John J Crowley; Charles A Coltman
Journal:  N Engl J Med       Date:  2004-05-27       Impact factor: 91.245

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  9 in total

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2.  Educational implications of changing the guidelines for the digital rectal examination.

Authors:  Elliot Lass; Lucshman Raveendran
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3.  Socio-Technical Systems Analysis in Health Care: A Research Agenda.

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4.  Advanced ultrasound in the diagnosis of prostate cancer.

Authors:  Jean-Michel Correas; Ethan J Halpern; Richard G Barr; Sangeet Ghai; Jochen Walz; Sylvain Bodard; Charles Dariane; Jean de la Rosette
Journal:  World J Urol       Date:  2020-04-18       Impact factor: 4.226

5.  Force-Rate Cues Reduce Object Deformation Necessary to Discriminate Compliances Harder than the Skin.

Authors:  Steven Conrad Hauser; Gregory John Gerling; Steven Conrad Hauser; Gregory John Gerling; Gregory John Gerling; Steven Conrad Hauser
Journal:  IEEE Trans Haptics       Date:  2017-06-15       Impact factor: 2.487

6.  Neural coding of passive lump detection in compliant artificial tissue.

Authors:  James C Gwilliam; Takashi Yoshioka; Allison M Okamura; Steven S Hsiao
Journal:  J Neurophysiol       Date:  2014-05-07       Impact factor: 2.714

7.  Simplifying touch data from tri-axial sensors using a new data visualization tool.

Authors:  Lawrence H Salud; Calvin Kwan; Carla M Pugh
Journal:  Stud Health Technol Inform       Date:  2013

8.  Measuring tactile cues at the fingerpad for object compliances harder and softer than the skin.

Authors:  Steven C Hauser; Gregory J Gerling
Journal:  IEEE Haptics Symp       Date:  2016-04

9.  Prostate cancer: a comparison of the diagnostic performance of transrectal ultrasound versus contrast enhanced transrectal ultrasound in different clinical characteristics.

Authors:  Hongli Li; Jianguo Xia; Shaowei Xie; Yifen Guo; Mei Xin; Fenghua Li
Journal:  Int J Clin Exp Med       Date:  2015-11-15
  9 in total

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