Utility of quantitative measurement of T 2 using restriction spectrum imaging for detection of clinically significant prostate cancer
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 2 properties of prostate tissue contribute to the signal measured in DWI, and stud...
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Nature Portfolio
2024-12-01
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| Online Access: | https://doi.org/10.1038/s41598-024-82742-8 |
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| author | Mariluz Rojo Domingo Christopher C. Conlin Roshan Karunamuni Courtney Ollison Madison T. Baxter Karoline Kallis Deondre D. Do Yuze Song Joshua Kuperman Ahmed S. Shabaik Michael E. Hahn Paul M. Murphy Rebecca Rakow-Penner Anders M. Dale Tyler M. Seibert |
| author_facet | Mariluz Rojo Domingo Christopher C. Conlin Roshan Karunamuni Courtney Ollison Madison T. Baxter Karoline Kallis Deondre D. Do Yuze Song Joshua Kuperman Ahmed S. Shabaik Michael E. Hahn Paul M. Murphy Rebecca Rakow-Penner Anders M. Dale Tyler M. Seibert |
| author_sort | Mariluz Rojo Domingo |
| collection | DOAJ |
| description | 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 2 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 2 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 2 (cT 2). Data includes two cohorts scanned for csPCa with 3T multi-b-value diffusion-weighted sequences acquired at multiple TEs. cT 2 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 2 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 2 was different (p < 0.05) across the four RSI compartments (C 1, C 2, C 3, C 4 ). Voxel-level, cohort 1: T 2 was different in csPCa for C 1, C 2, C 3 (p < 0.001). Patient-level, cohort 1: T 2 was different in csPCa patients in C 3 (p = 0.02); cohort 2: T 2 differed in csPCa patients in C 1 (p = 0.01), C 3 (p = 0.01) and C 4 (p < 0.01). Voxel-level csPCa detection: cT 2 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 2 were observed between normal and cancerous prostatic tissue. With our data, however, consideration of cT 2 in addition to diffusion did not significantly improve cancer detection performance. |
| format | Article |
| id | doaj-art-c40b82e2323a46698604482ed14201e3 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2024-12-01 |
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| spelling | doaj-art-c40b82e2323a46698604482ed14201e32024-12-29T12:27:29ZengNature PortfolioScientific Reports2045-23222024-12-0114111210.1038/s41598-024-82742-8Utility of quantitative measurement of T 2 using restriction spectrum imaging for detection of clinically significant prostate cancerMariluz Rojo Domingo0Christopher C. Conlin1Roshan Karunamuni2Courtney Ollison3Madison T. Baxter4Karoline Kallis5Deondre D. Do6Yuze Song7Joshua Kuperman8Ahmed S. Shabaik9Michael E. Hahn10Paul M. Murphy11Rebecca Rakow-Penner12Anders M. Dale13Tyler M. Seibert14Department of Bioengineering, University of California San Diego Jacobs School of EngineeringDepartment of Radiology, University of California San Diego School of MedicineDepartment of Radiation Medicine and Applied Sciences, University of California San Diego School of MedicineDepartment of Radiation Medicine and Applied Sciences, University of California San Diego School of MedicineDepartment of Radiation Medicine and Applied Sciences, University of California San Diego School of MedicineDepartment of Radiation Medicine and Applied Sciences, University of California San Diego School of MedicineDepartment of Bioengineering, University of California San Diego Jacobs School of EngineeringDepartment of Radiation Medicine and Applied Sciences, University of California San Diego School of MedicineDepartment of Radiology, University of California San Diego School of MedicineDepartment of Pathology, University of California San Diego School of MedicineDepartment of Radiology, University of California San Diego School of MedicineDepartment of Radiology, University of California San Diego School of MedicineDepartment of Radiology, University of California San Diego School of MedicineDepartment of Radiology, University of California San Diego School of MedicineDepartment of Bioengineering, University of California San Diego Jacobs School of EngineeringAbstract 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 2 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 2 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 2 (cT 2). Data includes two cohorts scanned for csPCa with 3T multi-b-value diffusion-weighted sequences acquired at multiple TEs. cT 2 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 2 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 2 was different (p < 0.05) across the four RSI compartments (C 1, C 2, C 3, C 4 ). Voxel-level, cohort 1: T 2 was different in csPCa for C 1, C 2, C 3 (p < 0.001). Patient-level, cohort 1: T 2 was different in csPCa patients in C 3 (p = 0.02); cohort 2: T 2 differed in csPCa patients in C 1 (p = 0.01), C 3 (p = 0.01) and C 4 (p < 0.01). Voxel-level csPCa detection: cT 2 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 2 were observed between normal and cancerous prostatic tissue. With our data, however, consideration of cT 2 in addition to diffusion did not significantly improve cancer detection performance.https://doi.org/10.1038/s41598-024-82742-8ProstateCancer detectionT 2 mappingRestriction spectrum imagingDiffusion-weighted imaging |
| spellingShingle | Mariluz Rojo Domingo Christopher C. Conlin Roshan Karunamuni Courtney Ollison Madison T. Baxter Karoline Kallis Deondre D. Do Yuze Song Joshua Kuperman Ahmed S. Shabaik Michael E. Hahn Paul M. Murphy Rebecca Rakow-Penner Anders M. Dale Tyler M. Seibert Utility of quantitative measurement of T 2 using restriction spectrum imaging for detection of clinically significant prostate cancer Scientific Reports Prostate Cancer detection T 2 mapping Restriction spectrum imaging Diffusion-weighted imaging |
| title | Utility of quantitative measurement of T 2 using restriction spectrum imaging for detection of clinically significant prostate cancer |
| title_full | Utility of quantitative measurement of T 2 using restriction spectrum imaging for detection of clinically significant prostate cancer |
| title_fullStr | Utility of quantitative measurement of T 2 using restriction spectrum imaging for detection of clinically significant prostate cancer |
| title_full_unstemmed | Utility of quantitative measurement of T 2 using restriction spectrum imaging for detection of clinically significant prostate cancer |
| title_short | Utility of quantitative measurement of T 2 using restriction spectrum imaging for detection of clinically significant prostate cancer |
| title_sort | utility of quantitative measurement of t 2 using restriction spectrum imaging for detection of clinically significant prostate cancer |
| topic | Prostate Cancer detection T 2 mapping Restriction spectrum imaging Diffusion-weighted imaging |
| url | https://doi.org/10.1038/s41598-024-82742-8 |
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