Utility of quantitative measurement of T2 using restriction spectrum imaging for detection of clinically significant prostate cancer

The Restriction Spectrum Imaging restriction score (RSIrs) has been shown to improve the accuracy for diagnosis of clinically significant prostate cancer (csPCa) compared to standard DWI. Both diffusion and T<sub>2</sub> properties of prostate tissue contribute to the signal measured in DWI, and studies have demonstrated that each may be valuable for distinguishing csPCa from benign tissue. The purpose of this retrospective study was to (1) determine whether prostate T<sub>2</sub> varies across RSI compartments and in the presence of csPCa, and (2) evaluate whether csPCa detection with RSIrs is improved by acquiring multiple scans at different TEs to measure compartmental T<sub>2</sub> (cT<sub>2</sub>). Data includes two cohorts scanned for csPCa with 3T multi-b-value diffusion-weighted sequences acquired at multiple TEs. cT<sub>2</sub> values were computed from multi-TE RSI data and compared by compartment. CsPCa detection was compared between RSIrs and a logistic regression model (LRM) to predict the probability of csPCa using cT<sub>2</sub> in combination with RSI measurements. Two-sample t-tests (α = 0.05) and the area under the receiver operating characteristic curve (AUC) were used for the statistical analyses. In both cohorts, T<sub>2</sub> was different (p < 0.05) across the four RSI compartments (C<sub>1,</sub> C<sub>2,</sub> C<sub>3,</sub> C<sub>4</sub>). Voxel-level, cohort 1: T<sub>2</sub> was different in csPCa for C<sub>1,</sub> C<sub>2,</sub> C<sub>3</sub> (p < 0.001). Patient-level, cohort 1: T<sub>2</sub> was different in csPCa patients in C<sub>3</sub> (p = 0.02); cohort 2: T<sub>2</sub> differed in csPCa patients in C<sub>1</sub> (p = 0.01), C<sub>3</sub> (p = 0.01) and C<sub>4</sub> (p < 0.01). Voxel-level csPCa detection: cT<sub>2</sub> did not improve discrimination over RSIrs alone (p = 0.9). Patient-level: RSIrs and the LRM performed better than diffusion alone (p < 0.001), but the difference in AUCs between RSIrs and the LRM was not significantly different (p = 0.54). In conclusion, significant differences in cT<sub>2</sub> were observed between normal and cancerous prostatic tissue. With our data, however, consideration of cT<sub>2</sub> in addition to diffusion did not significantly improve cancer detection performance.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2024-12-28
DOI
https://doi.org/10.1038/s41598-024-82742-8
Citations
2
Primary Topic
Prostate Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.84

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Utility of quantitative measurement of T2 using restriction spectrum imaging for detection of clinically significant prostate cancer

Courtney Ollison, D. Deondre, Michael E. Hahn, Joshua Kuperman et al.
2 citations
Scientific Reports
Prostate Cancer Diagnosis and Treatment
0.84
article

Utility of quantitative measurement of T2 using restriction spectrum imaging for detection of clinically significant prostate cancer

Courtney Ollison, D. Deondre, Michael E. Hahn, Joshua Kuperman, Rebecca Rakow‐Penner, P. Murphy, Mariluz Rojo Domingo, Tyler M. Seibert, Karoline Kallis, Anders M. Dale, Christopher C. Conlin, Ahmed Shabaik, Yuze Song, Roshan Karunamuni, Madison T Baxter
article en
2 citations

Abstract

The Restriction Spectrum Imaging restriction score (RSIrs) has been shown to improve the accuracy for diagnosis of clinically significant prostate cancer (csPCa) compared to standard DWI. Both diffusion and T<sub>2</sub> properties of prostate tissue contribute to the signal measured in DWI, and studies have demonstrated that each may be valuable for distinguishing csPCa from benign tissue. The purpose of this retrospective study was to (1) determine whether prostate T<sub>2</sub> varies across RSI compartments and in the presence of csPCa, and (2) evaluate whether csPCa detection with RSIrs is improved by acquiring multiple scans at different TEs to measure compartmental T<sub>2</sub> (cT<sub>2</sub>). Data includes two cohorts scanned for csPCa with 3T multi-b-value diffusion-weighted sequences acquired at multiple TEs. cT<sub>2</sub> values were computed from multi-TE RSI data and compared by compartment. CsPCa detection was compared between RSIrs and a logistic regression model (LRM) to predict the probability of csPCa using cT<sub>2</sub> in combination with RSI measurements. Two-sample t-tests (α = 0.05) and the area under the receiver operating characteristic curve (AUC) were used for the statistical analyses. In both cohorts, T<sub>2</sub> was different (p < 0.05) across the four RSI compartments (C<sub>1,</sub> C<sub>2,</sub> C<sub>3,</sub> C<sub>4</sub>). Voxel-level, cohort 1: T<sub>2</sub> was different in csPCa for C<sub>1,</sub> C<sub>2,</sub> C<sub>3</sub> (p < 0.001). Patient-level, cohort 1: T<sub>2</sub> was different in csPCa patients in C<sub>3</sub> (p = 0.02); cohort 2: T<sub>2</sub> differed in csPCa patients in C<sub>1</sub> (p = 0.01), C<sub>3</sub> (p = 0.01) and C<sub>4</sub> (p < 0.01). Voxel-level csPCa detection: cT<sub>2</sub> did not improve discrimination over RSIrs alone (p = 0.9). Patient-level: RSIrs and the LRM performed better than diffusion alone (p < 0.001), but the difference in AUCs between RSIrs and the LRM was not significantly different (p = 0.54). In conclusion, significant differences in cT<sub>2</sub> were observed between normal and cancerous prostatic tissue. With our data, however, consideration of cT<sub>2</sub> in addition to diffusion did not significantly improve cancer detection performance.

Scientific ReportsVol. 14(1)
UC San Diego Health System (US), University of California San Diego (US), Southern California Clinical and Translational Science Institute (US), La Jolla Bioengineering Institute (US), Jacobs (United States) (US)
U.S. Department of Defense, Prostate Cancer Foundation, American Society for Radiation Oncology, National Institutes of Health, National Institute of Biomedical Imaging and Bioengineering, Congressionally Directed Medical Research Programs
Peace, Justice and strong institutions, Reduced inequalities
Openalex Percentile: Top 22%
Prostate Cancer Diagnosis and Treatment
0.84
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.