Stability of Multi-Parametric Prostate MRI Radiomic Features to Variations in Segmentation
Abstract
:1. Introduction
2. Materials and Methods
2.1. Datasets
2.1.1. Internal Dataset
2.1.2. External Dataset
2.2. In Silico Contour Generation
2.3. Image Processing Pipeline
2.4. Radiomics Feature Extraction Pipeline
- First-order statistics (FO, n = 18) providing information about the histogram of the grey values inside the prostate ROI; and
- Texture features, providing information about the spatial distribution of grey values. We used the following textural matrices to compute the textural features: Gray Level Co-occurrence Matrix (GLCM, n = 22 features); Gray Level Run Length Matrix (GLRLM, n = 16 features); Gray Level Size Zone Matrix (GLSZM, n = 16 features).
2.5. Stability Analysis
3. Results
4. Discussion
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Specifications | (a) Internal Dataset | (b) External Dataset |
---|---|---|
No. of Patients | 100 | 15 |
Manufacturer | Ingenia (Philips Medical System, Best, The Netherlands) | GE Signa HDxt platform and GE Discovery MR750w (General Electric Healthcare, Milwaukee, WI) machines. |
Magnetic Field Strength | 1.5 T | 3.0 T |
Endorectal Coil | Yes | Yes |
PIRADSv2 Compliant | Yes | Yes |
Acquisition Protocol | T2w (TR/TE = 4910/110 ms, slice thickness = 3 mm, pixel spacing = 0.297 mm); DWI (b-values = 0, 1500 and 2000 s/mm2, TR/TE = 3320/106 ms, slice thickness = 3 mm, pixel spacing = 1.250 mm); DCE (TR/TE = 4.03/1.88 ms, slice thickness = 3 mm, pixel spacing = 1.136 mm, acquired with high temporal resolution < 10 s). | T2w (TR/TE = 3350–5109/84–107 ms, slice thickness = 3 mm, pixel spacing = 0.273–0.312 mm); DWI (b-values of 0 and 1400 s/mm2, TR/TE = 2500–8150/76.7–80.6 ms, slice thickness = 3–4 mm, pixel spacing = 0.625–0.703 mm); DCE (TR/TE = 3.68–4.1/1.3–1.42 ms, slice thickness = 5–6 mm, pixel spacing = 0.547–1.015 mm). |
GT Segmentation | Whole prostate gland segmentation on T2w | Whole prostate gland segmentation on T2w, ADC, and SUB |
(a) Internal | ||||||||
aug config | T2w | ADC | SUBwin | SUBwout | ||||
mean | std | mean | std | mean | std | mean | std | |
InP-R | 0.95 | 0.01 | 0.95 | 0.01 | 0.95 | 0.01 | 0.95 | 0.01 |
InP-S | 0.95 | 0.02 | 0.95 | 0.02 | 0.95 | 0.02 | 0.95 | 0.02 |
OutP | 0.99 | 0.01 | 0.99 | 0.01 | 0.99 | 0.01 | 0.99 | 0.01 |
In&OutP-R | 0.95 | 0.01 | 0.95 | 0.01 | 0.95 | 0.02 | 0.95 | 0.01 |
In&OutP-S | 0.94 | 0.03 | 0.95 | 0.03 | 0.94 | 0.02 | 0.94 | 0.03 |
(b) External | ||||||||
aug config | T2w | ADC | SUB | |||||
mean | std | mean | std | mean | std | |||
InP-R | 0.95 | 0.01 | 0.96 | 0.01 | 0.95 | 0.02 | ||
InP-S | 0.95 | 0.03 | 0.95 | 0.02 | 0.95 | 0.03 | ||
OutP | 0.99 | 0.01 | 0.99 | 0.01 | 0.99 | 0.01 | ||
In&OutP-R | 0.94 | 0.02 | 0.95 | 0.01 | 0.94 | 0.02 | ||
In&OutP-S | 0.94 | 0.03 | 0.95 | 0.03 | 0.94 | 0.03 |
(a) T2w | ||||||||||||||||||||
aug config | firstorder | glcm | glrlm | glszm | Overall | |||||||||||||||
O | BF | O | BF | O | BF | O | BF | O | BF | |||||||||||
S | R | S | R | S | R | S | R | S | R | S | R | S | R | S | R | S | R | S | R | |
InP-R | 0.72 | 0.72 | 1 | 1 | 0.95 | 0.86 | 1 | 1 | 0.94 | 0.75 | 1 | 1 | 0.81 | 0.62 | 1 | 0.88 | 0.86 | 0.75 | 1 | 0.97 |
InP-S | 0.44 | 0.22 | 1 | 0.94 | 0.73 | 0.41 | 1 | 0.86 | 0.94 | 0.44 | 1 | 0.62 | 0.75 | 0.44 | 1 | 0.81 | 0.71 | 0.38 | 1 | 0.82 |
OutP | 0.83 | 0.83 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.94 | 0.81 | 1 | 1 | 0.94 | 0.92 | 1 | 1 |
In&OutP-R | 0.72 | 0.61 | 1 | 1 | 0.95 | 0.82 | 1 | 1 | 0.94 | 0.56 | 1 | 1 | 0.81 | 0.56 | 1 | 0.88 | 0.86 | 0.65 | 1 | 0.97 |
In&OutP-S | 0.44 | 0.22 | 1 | 0.94 | 0.73 | 0.41 | 1 | 0.86 | 0.94 | 0.44 | 1 | 0.62 | 0.69 | 0.38 | 0.88 | 0.75 | 0.69 | 0.36 | 0.97 | 0.81 |
(b) ADC | ||||||||||||||||||||
aug config | firstorder | glcm | glrlm | glszm | Overall | |||||||||||||||
O | BF | O | BF | O | BF | O | BF | O | BF | |||||||||||
S | R | S | R | S | R | S | R | S | R | S | R | S | R | S | R | S | R | S | R | |
InP-R | 0.94 | 0.89 | 1 | 1 | 1 | 0.91 | 1 | 1 | 1 | 0.94 | 1 | 1 | 0.81 | 0.69 | 0.94 | 0.94 | 0.94 | 0.86 | 0.99 | 0.99 |
InP-S | 0.5 | 0.5 | 1 | 1 | 0.55 | 0.41 | 1 | 1 | 0.69 | 0.5 | 1 | 1 | 0.44 | 0.31 | 0.88 | 0.88 | 0.54 | 0.43 | 0.97 | 0.97 |
OutP | 1 | 0.89 | 1 | 1 | 1 | 0.95 | 1 | 1 | 0.94 | 0.94 | 1 | 1 | 0.81 | 0.81 | 1 | 1 | 0.94 | 0.9 | 1 | 1 |
In&OutP-R | 0.94 | 0.89 | 1 | 0.94 | 1 | 0.91 | 1 | 1 | 0.94 | 0.88 | 1 | 1 | 0.75 | 0.56 | 0.94 | 0.94 | 0.92 | 0.82 | 0.99 | 0.97 |
In&OutP-S | 0.56 | 0.56 | 1 | 0.94 | 0.5 | 0.36 | 1 | 1 | 0.5 | 0.31 | 1 | 1 | 0.31 | 0.19 | 0.88 | 0.81 | 0.47 | 0.36 | 0.97 | 0.94 |
(c) SUBwin | ||||||||||||||||||||
aug config | firstorder | glcm | glrlm | glszm | Overall | |||||||||||||||
O | BF | O | BF | O | BF | O | BF | O | BF | |||||||||||
S | R | S | R | S | R | S | R | S | R | S | R | S | R | S | R | S | R | S | R | |
InP-R | 0.72 | 0.67 | 1 | 1 | 0.91 | 0.91 | 1 | 1 | 0.81 | 0.62 | 1 | 1 | 0.81 | 0.56 | 1 | 0.88 | 0.82 | 0.71 | 1 | 0.97 |
InP-S | 0.5 | 0.33 | 1 | 1 | 0.82 | 0.5 | 1 | 1 | 0.56 | 0.56 | 0.94 | 0.81 | 0.75 | 0.56 | 0.88 | 0.88 | 0.67 | 0.49 | 0.96 | 0.93 |
OutP | 0.83 | 0.78 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.88 | 1 | 1 | 0.96 | 0.92 | 1 | 1 |
In&OutP-R | 0.72 | 0.61 | 1 | 1 | 0.91 | 0.82 | 1 | 1 | 0.81 | 0.62 | 1 | 0.88 | 0.81 | 0.5 | 1 | 0.88 | 0.82 | 0.65 | 1 | 0.94 |
In&OutP-S | 0.5 | 0.33 | 1 | 1 | 0.82 | 0.5 | 1 | 1 | 0.56 | 0.56 | 0.94 | 0.81 | 0.69 | 0.44 | 0.88 | 0.88 | 0.65 | 0.46 | 0.96 | 0.93 |
(d) SUBwout | ||||||||||||||||||||
aug config | firstorder | glcm | glrlm | glszm | Overall | |||||||||||||||
O | BF | O | BF | O | BF | O | BF | O | BF | |||||||||||
S | R | S | R | S | R | S | R | S | R | S | R | S | R | S | R | S | R | S | R | |
InP-R | 0.78 | 0.67 | 1 | 1 | 0.95 | 0.91 | 1 | 1 | 0.94 | 0.62 | 1 | 1 | 0.88 | 0.62 | 0.94 | 0.88 | 0.89 | 0.72 | 0.99 | 0.97 |
InP-S | 0.33 | 0.33 | 1 | 1 | 0.68 | 0.41 | 1 | 1 | 0.56 | 0.56 | 1 | 0.81 | 0.56 | 0.5 | 0.94 | 0.88 | 0.54 | 0.44 | 0.99 | 0.93 |
OutP | 0.89 | 0.78 | 1 | 1 | 1 | 1 | 1 | 1 | 0.94 | 0.94 | 1 | 1 | 1 | 0.88 | 1 | 1 | 0.96 | 0.9 | 1 | 1 |
In&OutP-R | 0.72 | 0.61 | 1 | 1 | 0.91 | 0.82 | 1 | 1 | 0.81 | 0.62 | 1 | 0.88 | 0.81 | 0.56 | 0.88 | 0.88 | 0.82 | 0.67 | 0.97 | 0.94 |
In&OutP-S | 0.33 | 0.33 | 1 | 1 | 0.64 | 0.41 | 1 | 1 | 0.56 | 0.56 | 0.88 | 0.81 | 0.56 | 0.44 | 0.88 | 0.88 | 0.53 | 0.43 | 0.94 | 0.93 |
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Thulasi Seetha, S.; Garanzini, E.; Tenconi, C.; Marenghi, C.; Avuzzi, B.; Catanzaro, M.; Stagni, S.; Villa, S.; Chiorda, B.N.; Badenchini, F.; et al. Stability of Multi-Parametric Prostate MRI Radiomic Features to Variations in Segmentation. J. Pers. Med. 2023, 13, 1172. https://doi.org/10.3390/jpm13071172
Thulasi Seetha S, Garanzini E, Tenconi C, Marenghi C, Avuzzi B, Catanzaro M, Stagni S, Villa S, Chiorda BN, Badenchini F, et al. Stability of Multi-Parametric Prostate MRI Radiomic Features to Variations in Segmentation. Journal of Personalized Medicine. 2023; 13(7):1172. https://doi.org/10.3390/jpm13071172
Chicago/Turabian StyleThulasi Seetha, Sithin, Enrico Garanzini, Chiara Tenconi, Cristina Marenghi, Barbara Avuzzi, Mario Catanzaro, Silvia Stagni, Sergio Villa, Barbara Noris Chiorda, Fabio Badenchini, and et al. 2023. "Stability of Multi-Parametric Prostate MRI Radiomic Features to Variations in Segmentation" Journal of Personalized Medicine 13, no. 7: 1172. https://doi.org/10.3390/jpm13071172