Whole-Tumor ADC Texture Analysis Is Able to Predict Breast Cancer Receptor Status.

There are different breast cancer molecular subtypes with differences in incidence, treatment response and outcome. They are roughly divided into estrogen and progesterone receptor (ER and PR) negative and positive cancers. In this retrospective study, we included 185 patients augmented with 25 SMOTE patients and divided them into two groups: the training group consisted of 150 patients and the validation cohort consisted of 60 patients. Tumors were manually delineated and whole-volume tumor segmentation was used to extract first-order radiomic features. The ADC-based radiomics model reached an AUC of 0.81 in the training cohort and was confirmed in the validation set, which yielded an AUC of 0.93, in differentiating ER/PR positive from ER/PR negative status. We also tested a combined model using radiomics data together with ki67% proliferation index and histological grade, and obtained a higher AUC of 0.93, which was also confirmed in the validation group. In conclusion, whole-volume ADC texture analysis is able to predict hormonal status in breast cancer masses.

Systematic sampling during MRI-US fusion prostate biopsy can overcome errors of targeting-prospective single center experience after 300 cases in first biopsy setting.

BACKGROUND: Multiparametric magnetic resonance imaging (mpMRI) and targeted biopsy have become an integral part of the diagnosis of prostate cancer (PCa), as recommended by the European Association of Urology Guidelines. The aim of the current study was to evaluate the performance of MRI and MRI-transrectal ultrasound (TRUS) fusion prostate biopsy as first biopsy setting in a tertiary center. METHODS: A cohort of 300 patients was included in the current analysis. All patients presented with clinical or biochemical suspicion of PCa and harbored at least one suspect lesion on mpMRI. MRI-TRUS fusion prostate biopsy, followed by 12 core systematic prostate biopsy were performed by the same operator using a rigid registration system. RESULTS: The mean age of the patients was 64 years (IQR: 58-68.5 years) and the mean PSA was 6.35 ng/mL (IQR: 4.84-9.46 ng/mL). Overall cancer and csPCa diagnosis rates were 47% and 40.66%. Overall PCa/csPCa detection rates were 20.4%/11.1%, 52%/45% and 68.5%/66.7% for PI-RADS lesions 3, 4 and 5 (P<0.001/P<0.0001). Larger lesion diameter and lesion volume were associated with PCa diagnosis (P=0.006 and P=0.001, respectively). MRI-TRUS fusion biopsy missed PCa diagnosis in 37 cases (of whom 48.6% ISUP 1) in comparison with 9 patients missed by systematic biopsy (of whom 11.1% ISUP 1). In terms of csPCa, systematic biopsy missed 77.7% of the tumors located in the anterior and transitional areas. The rate of csPCa was highest when targeted biopsy was associated with systematic biopsy: 86.52% vs. 68.79% for targeted biopsy vs. 80.14% for systematic biopsy, P=0.0004. In 60.6% of cases, systematic biopsy was positive for PCa at the same site as the targeted lesion. Of these patients, eight harbored csPCa and were diagnosed exclusively on systematic biopsy. CONCLUSIONS: MRI-TRUS fusion prostate biopsy improves the diagnosis of csPCa. The main advantage of an MRI-guided approach is the diagnosis of anterior and transitional area tumors. The best results in terms of csPCa diagnosis are obtained by the combination of MRI-TRUS fusion with systematic biopsy. The systematic biopsy performed during MRI-targeted biopsy could have an important role in overcoming errors of MRI-TRUS fusion systems.

Oncological results at 2 years after robotic radical prostatectomy - the Romanian experience.

INTRODUCTION: To assess the oncological outcomes of robotic radical prostatectomy in a country where there are no on-going national screening programs for prostate cancer. MATERIAL AND METHODS: Between November 2009 and November 2014, 220 robotic radical prostatectomies were performed at our Robotic Surgery Center. We already have the complete data for the 2-year follow-up of the first 105 patients, who were therefore included in the study group. Pre-operative (age, prostate-specific antigen, body-mass index, prostate volume, clinical staging, biopsy characteristics), post-operative (surgical technique, surgical margin status, lymph node status, pathological stage, Gleason score) and follow-up parameters (biochemical recurrence) were assessed. RESULTS: The global rate of positive surgical margins was 34.3%, with rates of 17.2% in stage pT2 and 55.3% in stage pT3. The most frequent localization for positive surgical margins was at the base and apex of the prostate. The positive surgical margins rate was correlated with the pre-operative prostate-specific antigen, clinical and pathological Gleason score, lymph node status and the number of positive biopsy cores. The rate of biochemical recurrence at the 2-year follow-up was 11.8%. The most important predictors for the biochemical recurrence were the positive surgical margins, pathological staging and Gleason score on the prostatectomy specimen. CONCLUSIONS: Robotic surgery is validated by the oncological results at medium follow-up (2 years) for localized and locally advanced prostate cancer, even in countries where there is no on-going national screening program.