Evaluation of relationships between the final Gleason score, PI-RADS v2 score, ADC value, PSA level, and tumor diameter in patients that underwent radical prostatectomy due to prostate cancer

Gündoğdu, Elif; Emekli, Emre; Kebapçı, Mahmut

doi:10.1007/s11547-020-01183-1

Cited by 11 publications

(9 citation statements)

References 43 publications

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“…There is an overlap comparing TZ PCa and stromal BPH on T 2 ‐weighted imaging (determining sequence in PI‐RADS) and diffusion‐weighted imaging (DWI) (secondary sequence in PI‐RADS), creating additional challenges for assessment of TZ tumors on mp‐MRI in the region 8,12–15 . A recent study demonstrated unsatisfactory sensitivity and negative predictive values of PI‐RADS version 2.1 in the diagnosis of TZ PCa, and the validity of the scoring system for TZ PCa should be further investigated 16,17 …”

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confidence: 99%

“…8,[12][13][14][15] A recent study demonstrated unsatisfactory sensitivity and negative predictive values of PI-RADS version 2.1 in the diagnosis of TZ PCa, and the validity of the scoring system for TZ PCa should be further investigated. 16,17 Amide proton transfer (APT) imaging is a potential new magnetic resonance molecular imaging technology, which is based on the signal generated by the proton exchange between the amide protons of mobile proteins and peptides in cells and free water. 18,19 Previous studies demonstrated that increased tumor cellularity and/or proliferation is directly correlated with higher APT signals, making it possible to differentiate tumor tissue from normal tissue, and the application of APT in prostate had also been demonstrated.…”

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Amide Proton Transfer Could Provide More Accurate Lesion Characterization in the Transition Zone of the Prostate

Guo

Qin

et al. 2022

Magnetic Resonance Imaging

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Background There is an overlap comparing transition zone prostate cancer (TZ PCa) and benign prostatic hyperplasia (BPH) on T2‐weighted imaging (T2WI) and diffusion‐weighted imaging (DWI), creating additional challenges for assessment of TZ tumors on MRI. Purpose To evaluate whether amide proton transfer‐weighted (APTw) imaging provides new diagnostic ideas for TZ PCa. Study type Prospective. Population A total of 51 TZ PCa patients (age, 49–89), 44 stromal BPH (age, 57–92), and 45 glandular BPH patients (age, 56–92). Field Strength/Sequence A 3 T; T2WI turbo spin echo (TSE), quantitative T2*‐weighted imaging, DWI echo planar imaging, 3D APTw TSE. Assessment Differences in APTw, apparent diffusion coefficient (ADC), and T2* among three lesions were compared by one‐way analysis of variance (ANOVA). Regions of interest were drawn by two radiologists (X.Q.Z. and X.Y.Q., with 21 and 15 years of experience, respectively). Statistical Tests Multivariable logistic regression analyses; ANOVA with post hoc testing; receiver operator characteristic curve analysis; Delong test. Significance level: P < 0.05. Results APTw among TZ PCa, stromal BPH, and glandular BPH (3.48% ± 0.83% vs. 2.76% ± 0.49% vs. 2.72% ± 0.45%, respectively) were significantly different except between stromal BPH and glandular BPH (P > 0.99). Significant differences were found in ADC (TZ PCa 0.76 ± 0.16 × 10−3 mm2/sec vs. stromal BPH 0.91 ± 0.14 × 10−3 mm2/sec vs. glandular BPH 1.08 ± 0.18 × 10−3 mm2/sec) among three lesions. APTw (OR = 12.18, 11.80, respectively) and 1/ADC (OR = 703.87, 181.11, respectively) were independent predictors of TZ PCa from BPH and stromal BPH. The combination of APTw and ADC had better diagnostic performance in the identification of TZ PCa from BPH and stromal BPH. Data Conclusion APTw imaging has the potential to be of added value to ADC in differentiating TZ PCa from BPH and stromal BPH. Evidence Level 2 Technical Efficacy Stage 2

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Amide Proton Transfer Could Provide More Accurate Lesion Characterization in the Transition Zone of the Prostate

Guo

Qin

et al. 2022

Magnetic Resonance Imaging

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“…The results obtained in the present study show that TA applied to ADC maps could help to assess clinical and pathological response in LARC. In a previous study, significant findings in the response assessment were found about kurtosis, based on the T2-weighted dataset of images [ 92 , 93 , 94 ]. The authors found a significantly lower kurtosis in pre-treatment TA of pCR, with significant changes after CRT.…”

Section: Discussionmentioning

confidence: 99%

Ability of Delta Radiomics to Predict a Complete Pathological Response in Patients with Loco-Regional Rectal Cancer Addressed to Neoadjuvant Chemo-Radiation and Surgery

Nardone

Reginelli

Grassi

et al. 2022

Cancers

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We performed a pilot study to evaluate the use of MRI delta texture analysis (D-TA) as a methodological item able to predict the frequency of complete pathological responses and, consequently, the outcome of patients with locally advanced rectal cancer addressed to neoadjuvant chemoradiotherapy (C-RT) and subsequently, to radical surgery. In particular, we carried out a retrospective analysis including 100 patients with locally advanced rectal adenocarcinoma who received C-RT and then radical surgery in three different oncological institutions between January 2013 and December 2019. Our experimental design was focused on the evaluation of the gross tumor volume (GTV) at baseline and after C-RT by means of MRI, which was contoured on T2, DWI, and ADC sequences. Multiple texture parameters were extracted by using a LifeX Software, while D-TA was calculated as percentage of variations in the two time points. Both univariate and multivariate analysis (logistic regression) were, therefore, carried out in order to correlate the above-mentioned TA parameters with the frequency of pathological responses in the examined patients’ population focusing on the detection of complete pathological response (pCR, with no viable cancer cells: TRG 1) as main statistical endpoint. ROC curves were performed on three different datasets considering that on the 21 patients, only 21% achieved an actual pCR. In our training dataset series, pCR frequency significantly correlated with ADC GLCM-Entropy only, when univariate and binary logistic analysis were performed (AUC for pCR was 0.87). A confirmative binary logistic regression analysis was then repeated in the two remaining validation datasets (AUC for pCR was 0.92 and 0.88, respectively). Overall, these results support the hypothesis that D-TA may have a significant predictive value in detecting the occurrence of pCR in our patient series. If confirmed in prospective and multicenter trials, these results may have a critical role in the selection of patients with locally advanced rectal cancer who may benefit form radical surgery after neoadjuvant chemoradiotherapy.

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“…Moreover, various essays have been tested to improve the accuracy of mpMRI in this setting [ 8 ]. Indeed, many clinicians feel that the PI-RADS v2 scoring system can be inadequate in distinguishing clinically significant and insignificant groups in central gland tumours [ 9 ]. Moreover, it is important that radiologists are familiar with the common incidental findings associated with MRI to minimize the anxiety of the patient and to reduce costs associated with unnecessary further testing [ 10 ] since it is currently acknowledged that the widespread request for mpMRI significantly increased the identification of findings unrelated to the primary aim of the investigation [ 11 ].…”

Section: Diagnostic Imaging and Its Predictive Value Before Treatment...mentioning

confidence: 99%

Integration between Novel Imaging Technologies and Modern Radiotherapy Techniques: How the Eye Drove the Chisel

Morelli

Carnevale

Grassi

et al. 2022

Cancers

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Introduction: Targeted dose-escalation and reduction of dose to adjacent organs at risk have been the main goal of radiotherapy in the last decade. Prostate cancer benefited the most from this process. In recent years, the development of Intensity Modulated Radiation Therapy (IMRT) and Stereotactic Body Radiotherapy (SBRT) radically changed clinical practice, also thanks to the availability of modern imaging techniques. The aim of this paper is to explore the relationship between diagnostic imaging and prostate cancer radiotherapy techniques. Materials and Methods: Aiming to provide an overview of the integration between modern imaging and radiotherapy techniques, we performed a non-systematic search of papers exploring the predictive value of imaging before treatment, the role of radiomics in predicting treatment outcomes, implementation of novel imaging in RT planning and influence of imaging integration on use of RT in current clinical practice. Three independent authors (GF, IM and ID) performed an independent review focusing on these issues. Key references were derived from a PubMed query. Hand searching and clinicaltrials.gov were also used, and grey literature was searched for further papers of interest. The final choice of papers included was discussed between all co-authors. Results: This paper contains a narrative report and a critical discussion of the role of new modern techniques in predicting outcomes before treatment, in radiotherapy planning and in the integration with systemic therapy in the management of prostate cancer. Also, the role of radiomics in a tailored treatment approach is explored. Conclusions: Integration between diagnostic imaging and radiotherapy is of great importance for the modern treatment of prostate cancer. Future clinical trials should be aimed at exploring the real clinical benefit of complex workflows in clinical practice.

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Evaluation of relationships between the final Gleason score, PI-RADS v2 score, ADC value, PSA level, and tumor diameter in patients that underwent radical prostatectomy due to prostate cancer

Cited by 11 publications

References 43 publications

Amide Proton Transfer Could Provide More Accurate Lesion Characterization in the Transition Zone of the Prostate

Amide Proton Transfer Could Provide More Accurate Lesion Characterization in the Transition Zone of the Prostate

Ability of Delta Radiomics to Predict a Complete Pathological Response in Patients with Loco-Regional Rectal Cancer Addressed to Neoadjuvant Chemo-Radiation and Surgery

Integration between Novel Imaging Technologies and Modern Radiotherapy Techniques: How the Eye Drove the Chisel

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