Abstract:Purpose: Restriction spectrum imaging (RSI-MRI), an advanced diffusion imaging technique, can potentially circumvent current limitations in tumor conspicuity, in vivo characterization, and location demonstrated by multiparametric magnetic resonance imaging (MP-MRI) techniques in prostate cancer detection. Prior reports show that the quantitative signal derived from RSI-MRI, the cellularity index, is associated with aggressive prostate cancer as measured by Gleason grade (GG). We evaluated the reliability of RS… Show more
“…A novel MRI acquisition protocol named restriction spectrum imaging (RSI) may be able to parse the signal of inflammation and cancer [15]. RSI-MRI in the prostate has specifically been shown to be more accurate than ADC values, improve tumor conspicuity, and alter signal between inflammation and cancer [16171819]. Other groups have investigated more efficient use of intravenous contrast enhancement techniques to distinguish aggressive tumors [20].…”
Purpose
To investigate if inflammation as a potential cause of false-positive lesions from recent UroNav magnetic resonance imaging (MRI) fusion prostate biopsy patients.
Materials and Methods
We retrospectively identified 43 men with 61 MRI lesions noted on prostate MRI before MRI ultrasound-guided fusion prostate biopsy. Men underwent MRI with 3T Siemens TIM Trio MRI system (Siemens AG, Germany), and lesions were identified and marked in DynaCAD system (Invivo Corporation, USA) with subsequent biopsy with MRI fusion with UroNav. We obtained targeted and standard 12-core needle biopsies. We retrospectively reviewed pathology reports for inflammation.
Results
We noted a total of 43 (70.5%) false-positive lesions with 28 having no cancer on any cores, and 15 lesions with cancer noted on systematic biopsy but not in the target region. Of the men with cancer, 6 of the false positive lesions had inflammation in the location of the targeted region of interest (40.0%, 6/15). However, when we examine the 21/28 lesions with an identified lesion on MRI with no cancer in all cores, 54.5% had inflammation on prostate biopsy pathology (12/22, p=0.024). We noted the highest proportion of inflammation.
Conclusions
Inflammation can confound the interpretation of MRI by mimicking prostate cancer. We suggested focused efforts to differentiate inflammation and cancer on prostate MRI.
“…A novel MRI acquisition protocol named restriction spectrum imaging (RSI) may be able to parse the signal of inflammation and cancer [15]. RSI-MRI in the prostate has specifically been shown to be more accurate than ADC values, improve tumor conspicuity, and alter signal between inflammation and cancer [16171819]. Other groups have investigated more efficient use of intravenous contrast enhancement techniques to distinguish aggressive tumors [20].…”
Purpose
To investigate if inflammation as a potential cause of false-positive lesions from recent UroNav magnetic resonance imaging (MRI) fusion prostate biopsy patients.
Materials and Methods
We retrospectively identified 43 men with 61 MRI lesions noted on prostate MRI before MRI ultrasound-guided fusion prostate biopsy. Men underwent MRI with 3T Siemens TIM Trio MRI system (Siemens AG, Germany), and lesions were identified and marked in DynaCAD system (Invivo Corporation, USA) with subsequent biopsy with MRI fusion with UroNav. We obtained targeted and standard 12-core needle biopsies. We retrospectively reviewed pathology reports for inflammation.
Results
We noted a total of 43 (70.5%) false-positive lesions with 28 having no cancer on any cores, and 15 lesions with cancer noted on systematic biopsy but not in the target region. Of the men with cancer, 6 of the false positive lesions had inflammation in the location of the targeted region of interest (40.0%, 6/15). However, when we examine the 21/28 lesions with an identified lesion on MRI with no cancer in all cores, 54.5% had inflammation on prostate biopsy pathology (12/22, p=0.024). We noted the highest proportion of inflammation.
Conclusions
Inflammation can confound the interpretation of MRI by mimicking prostate cancer. We suggested focused efforts to differentiate inflammation and cancer on prostate MRI.
“…Many studies applied a focal boost dose to sub-volumes identified as abnormal regions on quantitative images [ 7 , 14 , 50 , 60 ], including the FLAME-trial [ 37 ]. However, the use of sub-volumes means discretisation of tumour characteristics such as clonogen density and hypoxia, whereas typically these characteristics vary continuously throughout the gland [ 1 , 21 , 41 , 42 , 68 ]. In studies where voxel-level information was utilised, simple linear relationships between image intensities and doses were frequently assumed [ 3 , 14 , 60 ], or non-validated dose prescription functions were used [ 4 , 18 , 31 , 38 , 48 , 52 , 65 ].…”
Aims
This study aimed to develop a framework for optimising prostate intensity-modulated radiotherapy (IMRT) based on patient-specific tumour biology, derived from multiparametric MRI (mpMRI). The framework included a probabilistic treatment planning technique in the effort to yield dose distributions with an improved expected treatment outcome compared with uniform-dose planning approaches.
Methods
IMRT plans were generated for five prostate cancer patients using two inverse planning methods: uniform-dose to the planning target volume and probabilistic biological optimisation for clinical target volume tumour control probability (TCP) maximisation. Patient-specific tumour location and clonogen density information were derived from mpMRI and geometric uncertainties were incorporated in the TCP calculation. Potential reduction in dose to sensitive structures was assessed by comparing dose metrics of uniform-dose plans with biologically-optimised plans of an equivalent level of expected tumour control.
Results
The planning study demonstrated biological optimisation has the potential to reduce expected normal tissue toxicity without sacrificing local control by shaping the dose distribution to the spatial distribution of tumour characteristics. On average, biologically-optimised plans achieved 38.6% (p-value: < 0.01) and 51.2% (p-value: < 0.01) reduction in expected rectum and bladder equivalent uniform dose, respectively, when compared with uniform-dose planning.
Conclusions
It was concluded that varying the dose distribution within the prostate to take account for each patient’s clonogen distribution was feasible. Lower doses to normal structures compared to uniform-dose plans was possible whilst providing robust plans against geometric uncertainties. Further validation in a larger cohort is warranted along with considerations for adaptive therapy and limiting urethral dose.
“…On a voxel‐by‐voxel basis, RSI CI was significantly different among benign (mean RSI cellularity index = 0.16), low grade (mean score = 1.15) and high grade disease (mean score = 1.52) with increasing cellularity index correlating to increasing Gleason grade. Thus RSI CI correlates with Gleason grade at the voxel level, reflecting variation within individual tumors …”
Section: Interpretation Of Prostate Mri With Rsi: Existing Datamentioning
confidence: 97%
“…Thus RSI CI correlates with Gleason grade at the voxel level, reflecting variation within individual tumors. 55…”
Restriction spectrum imaging (RSI) is a novel diffusion-weighted magnetic resonance imaging technique that utilizes the mathematically distinct behavior of water diffusion in separable microscopic tissue compartments to highlight key aspects of the tissue microarchitecture with high conspicuity. RSI can be acquired in less than 5 minutes on modern scanners utilizing a surface coil. Multiple field gradients and high b-values in combination with post-processing techniques allow the simultaneous resolution of length-scale and geometric information, as well as compartmental and nuclear volume fraction filtering. RSI also employs a distortion correction technique and can thus be fused to high resolution T2 weighted images for detailed localization, which improves delineation of disease extension into critical anatomic structures. In this review we discuss the acquisition, post-processing, and interpretation of RSI for prostate MRI. We also summarize existing data demonstrating the applicability of RSI for prostate cancer detection, in vivo characterization, localization, and targeting.
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