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Reproducibility of Index Lesion Size and Mean Apparent Diffusion Coefficient Values Measured by Prostate
Alberto Diaz de Leon1, John R Leyendecker1, Susana Otero-Muinelo1
11 Department of Radiology, University of Texas Southwestern Medical Center, 2201 Inwood Rd, 2d Fl, Ste 202, Dallas, TX 75390-9085.
Objective:
The purpose of this study is to determine the intra- and interreader agreement for index lesion size and mean apparent diffusion coefficient (ADC) value measurements performed by five readers using whole-mount histopathologic specimens processed with a patient-specific, MRI-based, 3D-printed mold as the standard of reference.
Materials And Methods:
All men who underwent multiparametric MRI of the prostate performed using a 3-T scanner with endorectal and phased-array surface coils, followed by prostatectomy conducted between November 2015 and July 2016 at our institution, were identified. MRI examinations were independently reviewed by five readers with varying degrees of experience, two of whom had essentially no experience in prostate MRI interpretation before the study, to assess index lesion size and ADC values. A linear mixed model-based intraclass correlation was used to assess intra- and interreader reader agreement for lesion size and ADC measurements and agreement for size measurements between pathologic analysis and readers.
Results:
A total of 80 men met the study eligibility criteria. Overall inter- and intrareader agreement for ADC measurements was excellent, with interclass correlation coefficient (ICC) values of 0.84 and 0.90, respectively; both inter- and intrareader agreement between experienced readers (0.82 and 0.92, respectively) and inexperienced readers (0.86 and 0.87, respectively) were excellent as well. The agreement between mean lesion size on imaging and histopathologic analysis ranged from poor (0.32) to good (0.66), with overall agreement considered fair (0.49).
Conclusion:
Readers with varying degrees of experience achieved good-to-excellent agreement for index lesion size and ADC values on multiparametric MRI of men with prostate cancer. This degree of reproducibility may improve preoperative risk stratification, informed decision making, and treatment planning for men with known or suspected prostate cancer.
Insights
This study found excellent agreement for apparent diffusion coefficient (ADC) measurements in prostate cancer MRI, even among inexperienced readers. However, agreement on lesion size between MRI and pathology was only fair.
Area of Science:
- Radiology
- Oncology
- Medical Imaging
Background:
- Multiparametric MRI (mpMRI) is crucial for prostate cancer assessment.
- Accurate measurement of index lesion size and apparent diffusion coefficient (ADC) values is vital for diagnosis and treatment planning.
- Standardization of measurements across readers is essential for reliable interpretation.
Purpose of the Study:
- To evaluate the intra- and interreader agreement for index lesion size and mean ADC values in prostate cancer.
- To assess the impact of reader experience on measurement agreement.
- To compare MRI-based measurements with whole-mount histopathologic findings.
Main Methods:
- Five readers with varying experience levels interpreted prostate mpMRI scans from 80 men.
- Measurements of index lesion size and mean ADC values were performed.
- Intraclass correlation coefficients (ICCs) were calculated to assess agreement.
- A patient-specific, MRI-based, 3D-printed mold was used as the reference standard.
Main Results:
- Excellent interreader (ICC=0.84) and intrareader (ICC=0.90) agreement was observed for ADC measurements.
- Both experienced and inexperienced readers showed excellent agreement for ADC values.
- Agreement for lesion size between MRI and histopathology ranged from poor (0.32) to good (0.66), with an overall fair agreement (0.49).
Conclusions:
- Good-to-excellent agreement is achievable for prostate cancer index lesion size and ADC values on mpMRI, irrespective of reader experience.
- High reproducibility in ADC measurements supports its utility in clinical decision-making.
- The fair agreement in size measurements highlights a potential area for improvement in standardization and technique.
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