The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
Relationship between Apparent Diffusion Coefficients at 3.0-T MR Imaging and Gleason Grade in Peripheral Zone Prostate Cancer
Open accessAbstract
PURPOSE: To retrospectively determine the relationship between apparent diffusion coefficients (ADCs) obtained with 3.0-T diffusion-weighted (DW) magnetic resonance (MR) imaging and Gleason grades in peripheral zone prostate cancer. MATERIALS AND METHODS: The requirement to obtain institutional review board approval was waived. Fifty-one patients with prostate cancer underwent MR imaging before prostatectomy, including DW MR imaging with b values of 0, 50, 500, and 800 sec/mm(2). In prostatectomy specimens, separate slice-by-slice determinations of Gleason grade groups were performed according to primary, secondary, and tertiary Gleason grades. In addition, tumors were classified into qualitative grade groups (low-, intermediate-, or high-grade tumors). ADC maps were aligned to step-sections and regions of interest annotated for each tumor slice. The median ADC of tumors was related to qualitative grade groups with linear mixed-model regression analysis. The accuracy of the median ADC in the most aggressive tumor component in the differentiation of low- from combined intermediate- and high-grade tumors was summarized by using the area under the receiver operating characteristic (ROC) curve (A(z)). RESULTS: In 51 prostatectomy specimens, 62 different tumors and 251 step-section tumor lesions were identified. The median ADC in the tumors showed a negative relationship with Gleason grade group, and differences among the three qualitative grade groups were statistically significant (P < .001). Overall, with an increase of one qualitative grade group, the median ADC (±standard deviation) decreased 0.18 × 10(-3) mm(2)/sec ± 0.02. Low-, intermediate-, and high-grade tumors had a median ADC of 1.30 × 10(-3) mm(2)/sec ± 0.30, 1.07 × 10(-3) mm(2)/sec ± 0.30, and 0.94 × 10(-3) mm(2)/sec ± 0.30, respectively. ROC analysis showed a discriminatory performance of A(z) = 0.90 in discerning low-grade from combined intermediate- and high-grade lesions. CONCLUSION: ADCs at 3.0 T showed an inverse relationship to Gleason grades in peripheral zone prostate cancer. A high discriminatory performance was achieved in the differentiation of low-, intermediate-, and high-grade cancer.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Epstein, J. I., Allsbrook, W. C., Amin, M. B., & Egevad, L. L. (2005) · American Journal of Surgical Pathology · doi:10.1097/01.pas.0000173646.99337.b1 · Cited by 2,763
Diffusion-Weighted Magnetic Resonance Imaging as a Cancer Biomarker: Consensus and Recommendations
Padhani, A. R., Liu, G., Mu-Koh, D., Chenevert, T. L., Thoeny, H. C., Takahara, T., Dzik-Jurasz, A., Ross, B. D., Van Cauteren, M., Collins, D., et al. (2009) · Neoplasia · doi:10.1593/neo.81328 · Cited by 1,989
Histologic grading of prostate cancer: A perspective
Gleason, D. F. (1992) · Human Pathology · doi:10.1016/0046-8177(92)90108-f · Cited by 1,034
Epstein, J. I., Partin, A. W., Sauvageot, J., & Walsh, P. C. (1996) · The American Journal of Surgical Pathology · doi:10.1097/00000478-199603000-00004 · Cited by 562
Fütterer, J. J., Heijmink, S. W. T. P. J., Scheenen, T. W. J., Veltman, J., Huisman, H. J., Vos, P., de Kaa, C. A. H., Witjes, J. A., Krabbe, P. F. M., Heerschap, A., et al. (2006) · Radiology · doi:10.1148/radiol.2412051866 · Cited by 518
Self-citationMakarov, D. V., Trock, B. J., Humphreys, E. B., Mangold, L. A., Walsh, P. C., Epstein, J. I., & Partin, A. W. (2007) · Urology · doi:10.1016/j.urology.2007.03.042 · Cited by 483
Tanimoto, A., Nakashima, J., Kohno, H., Shinmoto, H., & Kuribayashi, S. (2007) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.20793 · Cited by 336
BLUTE, M. L., BERGSTRALH, E. J., IOCCA, A., SCHERER, B., & ZINCKE, H. (2001) · Journal of Urology · doi:10.1097/00005392-200101000-00030 · Cited by 280
Tamada, T., Sone, T., Jo, Y., Toshimitsu, S., Yamashita, T., Yamamoto, A., Tanimoto, D., & Ito, K. (2008) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.21503 · Cited by 258
deSouza, N. M., Riches, S. F., VanAs, N. J., Morgan, V. A., Ashley, S. A., Fisher, C., Payne, G. S., & Parker, C. (2008) · Clinical Radiology · doi:10.1016/j.crad.2008.02.001 · Cited by 241
Cited by
Prostate Cancer: Multiparametric MR Imaging for Detection, Localization, and Staging
Hoeks, C. M. A., Barentsz, J. O., Hambrock, T., Yakar, D., Somford, D. M., Heijmink, S. W. T. P. J., Scheenen, T. W. J., Vos, P. C., Huisman, H., van Oort, I. M., et al. (2011) · Radiology · doi:10.1148/radiol.11091822 · Cited by 677
Self-citationMultiparametric MRI for prostate cancer diagnosis: current status and future directions
Stabile, A., Giganti, F., Rosenkrantz, A. B., Taneja, S. S., Villeirs, G., Gill, I. S., Allen, C., Emberton, M., Moore, C. M., & Kasivisvanathan, V. (2020) · Nature Reviews Urology · doi:10.1038/s41585-019-0212-4 · Cited by 398
Wibmer, A., Hricak, H., Gondo, T., Matsumoto, K., Veeraraghavan, H., Fehr, D., Zheng, J., Goldman, D., Moskowitz, C., Fine, S. W., et al. (2015) · European Radiology · doi:10.1007/s00330-015-3701-8 · Cited by 391
Shukla‐Dave, A., Obuchowski, N. A., Chenevert, T. L., Jambawalikar, S., Schwartz, L. H., Malyarenko, D., Huang, W., Noworolski, S. M., Young, R. J., Shiroishi, M. S., et al. (2019) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.26518 · Cited by 389
Overview of Dynamic Contrast-Enhanced MRI in Prostate Cancer Diagnosis and Management
Verma, S., Turkbey, B., Muradyan, N., Rajesh, A., Cornud, F., Haider, M. A., Choyke, P. L., & Harisinghani, M. (2012) · American Journal of Roentgenology · doi:10.2214/ajr.12.8510 · Cited by 301
Metadata
- Authors
- Hambrock, T., Somford, D. M., Huisman, H. J., van Oort, I. M., Witjes, J. A., Hulsbergen-van de Kaa, C. A., Scheenen, T., & Barentsz, J. O.
- Venue
- Radiology
- Published
- 2011-05
- Volume
- 259
- Issue
- 2
- Pages
- 453-461
- ISSN
- 0033-8419 (ISSN-L)
- 1527-1315
- OpenAlex
- W2109923019
- Cited by
- 572
- References
- 22
- FWCI
- 39.76
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Relationship between Apparent Diffusion Coefficients at 3.0-T MR Imaging and Gleason Grade in Peripheral Zone Prostate Cancer. https://app.cochat.ai/papers/10.1148/radiol.11091409
- The paper
- Hambrock, T., Somford, D. M., Huisman, H. J., van Oort, I. M., Witjes, J. A., Hulsbergen-van de Kaa, C. A., Scheenen, T., & Barentsz, J. O. (2011). Relationship between Apparent Diffusion Coefficients at 3.0-T MR Imaging and Gleason Grade in Peripheral Zone Prostate Cancer. Radiology. https://doi.org/10.1148/radiol.11091409
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.