Ultrasound Fusion Research Articles

Variability in prostate cancer detection among radiologists and urologists using MRI fusion biopsy.

The aim of this study is to evaluate the impact of radiologist and urologist variability on detection of prostate cancer (PCa) and clinically significant prostate cancer (csPCa) with magnetic resonance imaging (MRI)-transrectal ultrasound (TRUS) fusion prostate biopsies. The Prospective Loyola University MRI (PLUM) Prostate Biopsy Cohort (January 2015 to December 2020) was used to identify men receiving their first MRI and MRI/TRUS fusion biopsy for suspected PCa. Clinical, MRI and biopsy data were stratified by radiologist and urologist to evaluate variation in Prostate Imaging-Reporting and Data System (PI-RADS) grading, lesion number and cancer detection. Multivariable logistic regression (MVR) models and area under the curve (AUC) comparisons assessed the relative impact of individual radiologists and urologists. A total of 865 patients (469 biopsy-naïve) were included across 5 urologists and 10 radiologists. Radiologists varied with grading 15.4% to 44.8% of patients with MRI lesions as PI-RADS 3. PCa detection varied significantly by radiologist, from 34.5% to 66.7% (p= 0.003) for PCa and 17.2% to 50% (p= 0.001) for csPCa. Urologists' PCa diagnosis rates varied between 29.2% and 55.8% (p= 0.013) and between 24.6% and 39.8% (p= 0.36) for csPCa. After adjustment for case-mix on MVR, a fourfold to fivefold difference in PCa detection was observed between the highest-performing and lowest-performing radiologist (OR 0.22, 95%CI 0.10-0.47, p< 0.001). MVR demonstrated improved AUC for any PCa and csPCa detection when controlling for radiologist variation (p= 0.017 and p= 0.038), but controlling for urologist was not significant (p= 0.22 and p= 0.086). Any PCa detection (OR 1.64, 95%CI 1.06-2.55, p= 0.03) and csPCa detection (OR 1.57, 95%CI 1.00-2.48, p= 0.05) improved over time (2018-2020 vs. 2015-2017). Variability among radiologists in PI-RADS grading is a key area for quality improvement significantly impacting the detection of PCa and csPCa. Variability for performance of MRI-TRUS fusion prostate biopsies exists by urologist but with less impact on overall detection of csPCa.

Efficacy and Safety of Microwave Ablation Assisted by Ultrasound Fusion Imaging for Primary and Secondary Liver Cancers with a Diameter of 3-7 Cm.

To investigate the efficacy and safety of microwave ablation (MWA) assisted by ultrasound fusion imaging (FI) for primary and secondary liver cancers with a diameter of 3-7 cm. A retrospective analysis was conducted on patients with primary and secondary liver cancers (3-7 cm) who underwent MWA with ultrasound FI assistance in our hospital from April 2020 to May 2022. Technical success, technique efficacy, local tumor progression (LTP), major complication, intrahepatic distant recurrence (IDR), and overall survival (OS) were assessed during the follow-up period. In addition, the ablation results of tumors between the medium-sized group (3.1-5.0 cm) and large-sized group (5.1-7.0 cm) were compared. 31 patients with 35 primary and secondary liver cancers were treated with MWA assisted by ultrasound FI. Complete ablation was achieved in 34 lesions with a technical success rate of 97.1%. Major complications occurred in 6.5% of patients (2/31), while no ablation-related deaths were reported. The median follow-up time of this study was 24 months (range:10 to 35 months). The technique efficacy rate was 97.1% (34/35), with LTP occurring in three lesions at a rate of 8.8% (3/34). The incidence of IDR was 38.7% (12/31) and the 2-year cumulative OS rate reached 96.7%. Moreover, there were no statistical differences in technique efficacy rate (p=0.286), LTP rate (p=0.328), major complication rate (p=0.503), IDR (p=0.857), and OS (p=0.118) between medium-sized group and large-sized group. Ultrasound FI-assisted MWA has the potential to be an effective and safe therapeutic strategy for primary and secondary liver cancers ranging from 3-7 cm in size.

Multiparametric Magnetic Resonance Imaging in Prostate Cancer Screening at the Age of 45 Years: Results from the First Screening Round of the PROBASE Trial

BackgroundMagnetic resonance imaging (MRI) has been suggested as a tool for guiding biopsy recommendations in prostate cancer (PC) screening. ObjectiveTo determine the performance of multiparametric MRI (mpMRI) in young men at age 45 yr who participated in a PC screening trial (PROBASE) on the basis of baseline prostate-specific antigen (PSA). Design, setting, and participantsParticipants with confirmed PSA ≥3 ng/ml were offered mpMRI followed by MRI/transrectal ultrasound fusion biopsy (FBx) with targeted and systematic cores. mpMRI scans from the first screening round for men randomised to an immediate PSA test in PROBASE were evaluated by local readers and then by two reference radiologists (experience >10 000 prostate MRI examinations) blinded to the histopathology. The PROBASE trial is registered as ISRCTN37591328 Outcome measurements and statistical analysisThe local and reference Prostate Imaging-Data and Reporting System (PI-RADS) scores were compared, and the sensitivity, negative predictive value (NPV), and accuracy were calculated for both readings for different cutoffs (PI-RADS 3 vs 4). Results and limitationsOf 186 participants, 114 underwent mpMRI and FBx. PC was detected in 47 (41%), of whom 33 (29%) had clinically significant PC (csPC; International Society of Urological Pathology grade group ≥2). Interobserver reliability between local and reference PI-RADS scores was moderate (k = 0.41). At a cutoff of PI-RADS 4, reference reading showed better performance for csPC detection (sensitivity 79%, NPV 91%, accuracy of 85%) than local reading (sensitivity 55%, NPV 80%, accuracy 68%). Reference reading did not miss any PC cases for a cutoff of PI-RADS <3. If PI-RADS ≥4 were to be used as a biopsy cutoff, mpMRI would reduce negative biopsies by 68% and avoid detection of nonsignificant PC in 71% of cases. ConclusionsProstate MRI in a young screening population is difficult to read. The MRI accuracy of for csPC detection is highly dependent on reader experience, and double reading might be advisable. More data are needed before MRI is included in PC screening for men at age 45 yr. Patient summaryMeasurement of prostate specific antigen (PSA) is an effective screening test for early detection of prostate cancer (PC) and can reduce PC-specific deaths, but it can also lead to unnecessary biopsies and treatment. Magnetic resonance imaging (MRI) after a positive PSA test has been proposed as a way to reduce the number of biopsies, with biopsy only recommended for men with suspicious MRI findings. Our results indicate that MRI accuracy is moderate for men aged 45 years but can be increased by a second reading of the images by expert radiologists. For broad application of MRI in routine screening, double reading may be advisable.

257 Three-Dimensional Ultrasound Fusion of Trans-Abdominal and Trans-Rectal Images for Visualization of Gynecological High Dose-Rate Brachytherapy Applicators

257 Three-Dimensional Ultrasound Fusion of Trans-Abdominal and Trans-Rectal Images for Visualization of Gynecological High Dose-Rate Brachytherapy Applicators

Detection of anterior prostate cancer using a magnetic resonance imaging-transrectal ultrasound fusion biopsy in cases with initial biopsy and history of systematic biopsies

BackgroundProstate cancer in the anterior region may be missed on a transrectal systematic biopsy (SBx). Therefore, this study aimed to evaluate the performance of magnetic resonance imaging-transrectal ultrasound (MRI-TRUS) fusion targeted biopsy (TBx) in detecting anterior region cancer in patients with a history of SBxs. MethodsProstate biopsies were performed in 224 patients after multiparametric MRI, among whom 119 patients with prostate imaging reporting and data system (PI-RADS version 2) scores of 3 to 5 underwent MRI-TRUS fusion TBxs. Afterward, cancer detection rates (CDRs) and TBx-positive core regions were compared by categorizing patients into those with or without a history of SBxs. ResultsTotal CDR was 68.8% (44/64 cases) in the initial biopsy group (Initial-Bx group) and 47.3% (26/55 cases) in the previous-negative-systematic biopsy group (Pre-Neg-SBx group) (P = 0.018). Interestingly, both TBx- and SBx-core positive cases were more common in the Initial-Bx group than in the Pre-Neg-SBx group (Initial-Bx group: 75% [33/44 cases] vs. Pre-Neg-SBx group: 42.3% [11/26 cases], P = 0.006). However, only TBx-core positive cases were more common in the Pre-Neg-SBx group than in the Initial-Bx group (Initial-Bx group: 11.4% [5/44 cases] vs. Pre-Neg-SBx group: 30.8% [8/26 cases], P = 0.043). In addition, the proportion of anterior lesions detected by TBx cores was higher in the Pre-Neg-SBx group than in the Initial-Bx group (Initial-Bx group: 26.3% [10/38 cases] vs. Pre-Neg-SBx group: 52.6% [10/19 cases], P = 0.049). ConclusionUsing MRI-TRUS fusion TBx in the evaluation of previously negative SBx cases improved the detection rate of anterior lesions, which might have been missed in previous SBxs. Especially in patients with a history of SBxs mpMRI should be performed to screen for anterior lesions.

Superior detection of significant prostate cancer by transperineal prostate biopsy using MRI-transrectal ultrasound fusion image guidance over cognitive registration.

The BioJet system allows the fusion of magnetic resonance imaging (MRI) images with real-time transrectal ultrasonography to accurately direct biopsy needles to the target lesions. To date, the superiority of targeted biopsy using the BioJet system over cognitive registration remains unknown. This retrospective study included 171 biopsy-naïve men with elevated prostate-specific antigen (2.5-20ng/mL) and MRI-positive lesions; 74 and 97 men underwent a four-core targeted biopsy per MRI-positive target lesion and a 14-core systematic biopsy transperineally using the BioJet system and cognitive registration, respectively. Detection rates of significant cancer, defined as grade group ≥ 2 or maximum cancer length ≥ 5mm, were compared between the BioJet system and cognitive registration using propensity score matching and a multivariate logistic regression model. After propensity score matching (67 men for each group), the detection rates of significant cancer were significantly higher in the BioJet group than in the cognitive group for both targeted (76% vs. 46%, P = 0.002) and systematic (70% vs. 46%, P = 0.018) biopsy. Multivariate analysis of the entire cohort also showed that the BioJet system was independently associated with significant cancer detection by targeted and systematic biopsy (P < 0.01), along with a higher prostate-specific antigen density and a higher prostate imaging reporting and data system score. Transperineal prostate biopsy using the BioJet system is superior to cognitive registration in detecting significant cancer for targeted and systematic biopsies.

Transperineal vs transrectal magnetic resonance and ultrasound image fusion prostate biopsy: a pair-matched comparison

The objective of this study was to compare transperineal (TP) versus transrectal (TR) magnetic resonance imaging (MRI) and transrectal ultrasound (TRUS) fusion prostate biopsy (PBx). Consecutive men who underwent prostate MRI followed by a systematic biopsy. Additional target biopsies were performed from Prostate Imaging Reporting & Data System (PIRADS) 3–5 lesions. Men who underwent TP PBx were matched 1:2 with a synchronous cohort undergoing TR PBx by PSA, Prostate volume (PV) and PIRADS score. Endpoint of the study was the detection of clinically significant prostate cancer (CSPCa; Grade Group ≥ 2). Univariate and multivariable analyses were performed. Results were considered statistically significant if p < 0.05. Overall, 504 patients met the inclusion criteria. A total of 168 TP PBx were pair-matched to 336 TR PBx patients. Baseline demographics and imaging characteristics were similar between the groups. Per patient, the CSPCa detection was 2.1% vs 6.3% (p = 0.4) for PIRADS 1–2, and 59% vs 60% (p = 0.9) for PIRADS 3–5, on TP vs TR PBx, respectively. Per lesion, the CSPCa detection for PIRADS 3 (21% vs 16%; p = 0.4), PIRADS 4 (51% vs 44%; p = 0.8) and PIRADS 5 (76% vs 84%; p = 0.3) was similar for TP vs TR PBx, respectively. However, the TP PBx showed a longer maximum cancer core length (11 vs 9 mm; p = 0.02) and higher cancer core involvement (83% vs 65%; p < 0.001) than TR PBx. Independent predictors for CSPCa detection were age, PSA, PV, abnormal digital rectal examination findings, and PIRADS 3–5. Our study demonstrated transperineal MRI/TRUS fusion PBx provides similar CSPCa detection, with larger prostate cancer core length and percent of core involvement, than transrectal PBx.

Deep learning radiopathomics based on preoperative US images and biopsy whole slide images can distinguish between luminal and non-luminal tumors in early-stage breast cancers.

For patients with early-stage breast cancers, neoadjuvant treatment is recommended for non-luminal tumors instead of luminal tumors. Preoperative distinguish between luminal and non-luminal cancers at early stages will facilitate treatment decisions making. However, the molecular immunohistochemical subtypes based on biopsy specimens are not always consistent with final results based on surgical specimens due to the high intra-tumoral heterogeneity. Given that, we aimed to develop and validate a deep learning radiopathomics (DLRP) model to preoperatively distinguish between luminal and non-luminal breast cancers at early stages based on preoperative ultrasound (US) images, and hematoxylin and eosin (H&E)-stained biopsy slides. This multicentre study included three cohorts from a prospective study conducted by our team and registered on the Chinese Clinical Trial Registry (ChiCTR1900027497). Between January 2019 and August 2021, 1809 US images and 603H&E-stained whole slide images (WSIs) from 603 patients with early-stage breast cancers were obtained. A Resnet18 model pre-trained on ImageNet and a multi-instance learning based attention model were used to extract the features of US and WSIs, respectively. An US-guided Co-Attention module (UCA) was designed for feature fusion of US and WSIs. The DLRP model was constructed based on these three feature sets including deep learning US feature, deep learning WSIs feature and UCA-fused feature from a training cohort (1467 US images and 489 WSIs from 489 patients). The DLRP model's diagnostic performance was validated in an internal validation cohort (342 US images and 114 WSIs from 114 patients) and an external test cohort (279 US images and 90 WSIs from 90 patients). We also compared diagnostic efficacy of the DLRP model with that of deep learning radiomics model and deep learning pathomics model in the external test cohort. The DLRP yielded high performance with area under the curve (AUC) values of 0.929 (95% CI 0.865-0.968) in the internal validation cohort, and 0.900 (95% CI 0.816-0.953) in the external test cohort. The DLRP also outperformed deep learning radiomics model based on US images only (AUC 0.815 [0.719-0.889], p<0.027) and deep learning pathomics model based on WSIs only (AUC 0.802 [0.704-0.878], p<0.013) in the external test cohort. The DLRP can effectively distinguish between luminal and non-luminal breast cancers at early stages before surgery based on pretherapeutic US images and biopsy H&E-stained WSIs, providing a tool to facilitate treatment decision making in early-stage breast cancers. Natural Science Foundation of Guangdong Province (No. 2023A1515011564), and National Natural Science Foundation of China (No. 91959127; No. 81971631).

Percutaneous Microwave Ablation of Hepatocellular Carcinoma with "Double Fusion" Technique: Technical Note and Single-Center Preliminary Experience.

Percutaneous image-guided thermal ablation is included in most society guidelines for treatment of hepatocellular carcinoma (HCC). The results of this treatment in terms of efficacy depend on the ability to precisely place the device into the target tumor. Ultrasound (US) is a commonly used imaging guidance modality for its real-time feedback. However, an accurate device deployment remains challenging in some clinical scenarios, including cases of tumors that are undetectable or not clearly visible by US. To overcome this problem, fusion imaging techniques have been developed, which combine images from different modalities. The most widely known technique combines pre-procedural contrast-enhanced computed tomography (CT) or magnetic resonance imaging (MRI) with real-time US scans. Cone beam CT (CBCT) is a technology that can provide intra-procedural cross-sectional images, which can be registered to images from other modalities, including preprocedural CT/MR scans. The aim of our study is to report the preliminary experience on percutaneous microwave ablation (MWA) of patients with HCC that were treated using the "double fusion" technique, which combines the use of US fusion imaging and CBCT fusion imaging. We describe the technical details, feasibility, safety and short-term efficacy of this technique in a small series of eight patients with 11 HCCs.

Complication rates of transrectal and transperineal prostate fusion biopsies - is there a learning curve even in high volume interventional center?

To analyze the learning curve regarding complication rates of transrectal prostate biopsy (TRPB) versus transperineal prostate biopsy (TPPB), using real time software-based magnetic resonance imaging ultrasound (MRI-US) fusion techniques, along with first year experience of transperineal approach. retrospective unicentric cohort study at a quaternary care hospital. Medical records of all consecutive patients that underwent TPPB between March 2021 and February 2022, after the introduction of MRI-US fusion device, and those who underwent TRPB throughout the entire years of 2019 and 2020 were analyzed. All complications that occurred as consequences of the procedure were considered. Descriptive statistics, Chi-squared and Fisher tests were used to describe complications and compare the two groups. A total of 283 patients were included in the transperineal group and 513 in the transrectal group. The analysis of a learning curve for the transperineal method showed lower complications rates comparing the first six months of TPPB procedures (group 1); The complication rate for TPPB was lower than that of TRPB (55.1% versus 81.9%, respectively; p<0.01). TPPB showed specifically lower rates of hematuria (48.8% versus 66.3%;p<0.001) and rectal bleeding(3.5% versus 18.1%; p<0.001). There were no cases of prostatitis after transperineal biopsies and three cases (0.6%) after transrectal procedures. We evidenced the learning curve for performing the transperineal biopsy, with a lower rate of complications for the experienced team, after 142 cases after 6 months of practice. The lower complication rate of TPPB and the absence of infectious prostatitis imply a safer procedure when compared to TRPB.

Ultrasound Fusion: Applications in Musculoskeletal Imaging.

Ultrasound fusion is an established technique that pairs real time B-scan ultrasound (US) with other forms of cross-sectional imaging, including computed tomography (CT), magnetic resonance imaging (MRI) and positron emission tomography (PET). Each of these imaging modalities has distinct advantages. CT provides superior anatomic resolution, with improved imaging of bone and calcified structures; MRI has superior contrast resolution; and PET provides physiologic information, identifying processes that are metabolically active (i.e., tumor, inflammatory conditions). However, these modalities are static. A key highlight of ultrasound is its capability of dynamic, real-time scanning. The ability to pair CT, MRI or PET with ultrasound can have significant advantages, both in diagnostic evaluation and when performing difficult or challenging image-guided interventions. Percutaneous interventions using ultrasound fusion have been described in the abdominal imaging literature; however, there have been very few musculoskeletal applications detailed in the literature. The purpose of this article is to review the basic concepts of real-time ultrasound fusion, and to detail, through the use of multiple case examples, its potential use as a safe and effective method for performing image-guided musculoskeletal interventions.

Invasive lobular carcinoma of the breast detected with real-time virtual sonography: a case report

BackgroundInvasive lobular carcinoma (ILC) sometimes presents with unique clinical, pathologic, and radiographic features. In this case report, we describe a patient with ILC, whose initial presentation consisted with symptoms secondary to bone-marrow dissemination. In addition, the breast primary was revealed only by magnetic resonance imaging (MRI) followed by real-time virtual sonography (RVS).Case presentationA 51-year-old woman presented to our outpatient clinic with dyspnea on exertion. She had severe anemia (hemoglobin, 5.3 g/dL) and thrombocytopenia (platelet count, 31 × 103/mL). Bone-marrow biopsy was performed to evaluate hematopoietic function. The pathologic diagnosis was bone-marrow carcinomatosis due to metastatic breast cancer. Initial mammography followed by ultrasonography (US) failed to detect the primary tumor. On MRI, a non-mass-enhancement lesion was observed. While second-look US also did not detect the lesion, it was clearly visualized with RVS. We were finally able to biopsy the breast lesion. The pathologic diagnosis was ILC positive for both estrogen receptor and progesterone receptor, with 1 + immunohistochemical staining for human epidermal growth factor receptor 2. This case of ILC was characterized by bone-marrow metastasis. Due to decreased cell adhesion, the risk of bone-marrow metastasis is higher in ILC than in invasive ductal carcinoma, the most prevalent type of breast cancer. Biopsy of the primary lesion, which was initially only detected with MRI, was successfully performed with clear visualization during RVS, which is based on the fusion of MRI and US images.ConclusionIn this case report and literature review, we describe the unique clinical characteristics of ILC and a strategy for identifying primary lesions that are initially only visualized with MRI.

Optimal Prostate Cancer Diagnostic Pathways for Men With Prostatomegaly in the MRI Era

To evaluate utilities of multiparametric MRI and targeted biopsy to detect clinically significant prostate cancer in men with prostatomegaly. We conducted a retrospective review of multiparametric MRI obtained for elevated PSA between 2017 and 2020. We selected patients with prostates ≥80g who had undergone biopsy. Clinically significant prostate cancer was defined as grade group ≥2. Predictive and logistic regression analyses quantified impacts of diagnostic components. A total of 338 patients met inclusion criteria: 89 (26.3%) had clinically significant prostate cancer. On MRI, positive predictive value for clinically significant prostate cancer was 26.5% for PIRADS 4% and 73.5% for PIRADS 5; negative predictive value for MRI without suspicious lesions was 98.8%. Applying PSA density to MRI yielded a negative predictive value of 78.9% for PIRADS 4 lesions at PSA density <0.05 and a positive predictive value of 90.5% for PIRADS 5 lesions at PSA density ≥0.15. Targeted (versus standard) biopsy reduced likelihood of missing clinically significant prostate cancer by >50% (12.2% vs 28.3%). MRI in-bore biopsies trended towards better accuracy versus MRI-transrectal ultrasound fusion biopsies (75% versus 52%). On logistic regression analyses, MRI improved predictive accuracy (area under the curve 0.91), and PIRADS score demonstrated the strongest association with clinically significant prostate cancer (odds ratio 6.42, P<.001). For large prostates, MRI is less predictive of clinically significant prostate cancer but effectively rules out malignancy. PSA density better informs biopsy decisions for PIRADS 4 and 5 lesions. There may be a pronounced role for targeted biopsy, specifically in-bore, in prostatomegaly.

Offline ultrasound-ultrasound fusion imaging for assessment of normal fetal brain development: the way forward?

Offline ultrasound-ultrasound fusion imaging for assessment of normal fetal brain development: the way forward?

Ultrasound fusion imaging for improving diagnostic and therapeutic strategies of focal liver lesions: A preliminary study.

To assess the effect of ultrasound (US) fusion imaging on the clinical diagnostic and therapeutic strategies of focal liver lesions, which are difficult to detect or diagnose by conventional US. From November 2019 to June 2022, 71 patients with invisible or undiagnosed focal liver lesions who underwent fusion imaging combining US with CT or MR were included in this retrospective study. The reasons for US fusion imaging were as follows: (1) lesions that were undetectable or inconspicuous on B-mode US; (2) post-ablation lesions that could not be assessed accurately by B-mode US; (3) to evaluate whether the lesions detected by B-mode US that were consistent with those presented on MRI/CT images. Of the 71 cases, 43 cases were single lesions, and 28 cases were multiple lesions. Among the 46 cases which were invisible on conventional US, the display rate of lesions using US-CT/MRI fusion imaging was 30.8%, and that combined with CEUS was 76.9%. US-guided biopsy was performed in 30 patients after the detection and localization determined by fusion imaging, with a positive rate of 73.3%. Six patients with recurrence after ablation therapy were all detected and located accurately after fusion imaging, and 4 of them successfully underwent ablation therapy again. Fusion imaging contributes to the understanding of the anatomical relationship between lesion location and blood vessels. Additionally, fusion imaging can improve the diagnostic confidence, be helpful to guide interventional operations, and hence be conducive to clinical therapeutic strategies.

Role of targeted biopsy, perilesional biopsy, and random biopsy in prostate cancer diagnosis by mpMRI/transrectal ultrasonography fusion biopsy.

It is still not clear the role of perilesional biopsy (PL) and the extension of the random biopsy (RB) scheme to be adopted during mpMRI-guided ultrasound fusion biopsy (FB). To evaluate the increase in diagnostic accuracy achieved by PL and different RB schemes over target biopsy (TB). We collected prospectively 168 biopsy-naïve patients with positive mpMRI receiving FB and concurrent 24-core RB. The diagnostic yields of the different possible biopsy schemes (TB only; TB + 4 PL cores; TB + 12-core RB; TB + 24-core RB) were compared by the McNemar test. Clinically significant (CS) prostate cancer (PCA) was defined according to the definition of the PROMIS trial. Regression analyses were used to identify independent predictors of the presence of any cancer, csPCA. The detection rate of CS cancers increased to 35%, 45%, and 49% by adding 4 PL cores, 12, and 24 RB cores, respectively (all p < 0.02). Notably, the largest scheme including 3TB and 24 RB cores identified a small but statistically significant 4% increase in detection rate of CS cancer, as compared with the second largest scheme. TB alone identified only 62% of the CS cancers. Such figure increased to 72% by adding 4 PL cores, and to 91% by adding 14 RB cores. We found that PL biopsy increased the detection rate of CS cancers as compared with TB alone. However, the combination of those cores missed about 30% of the CS cancers identified with larger RB cores, notably including a considerable 15% of cases located contralaterally to the index tumor.

Prediction of upgrade to clinically significant prostate cancer in patients under active surveillance: Performance of a fully automated AI-algorithm for lesion detection and classification.

Multiparametric MRI (mpMRI) improves the detection of aggressive prostate cancer (PCa) subtypes. As cases of active surveillance (AS) increase and tumor progression triggers definitive treatment, we evaluated whether an AI-driven algorithm can detect clinically significant PCa (csPCa) in patients under AS. Consecutive patients under AS who received mpMRI (PI-RADSv2.1 protocol) and subsequent MR-guided ultrasound fusion (targeted and extensive systematic) biopsy between 2017 and 2020 were retrospectively analyzed. Diagnostic performance of an automated clinically certified AI-driven algorithm was evaluated on both lesion and patient level regarding the detection of csPCa. Analysis of 56 patients resulted in 93 target lesions. Patient level sensitivity and specificity of the AI algorithm was 92.5%/31% for the detection of ISUP ≥ 1 and 96.4%/25% for the detection of ISUP ≥ 2, respectively. The only case of csPCa missed by the AI harbored only 1/47 Gleason 7a core (systematic biopsy; previous and subsequent biopsies rendered non-csPCa). AI-augmented lesion detection and PI-RADS scoring is a robust tool to detect progression to csPCa in patients under AS. Integration in the clinical workflow can serve as reassurance for the reader and streamline reporting, hence improve efficiency and diagnostic confidence.

MP09-08 PREDICTIVE VALUE OF LACDINAC-GLYCOSYLATED PROSTATE SPECIFIC ANTIGEN AT 3 MONTHS AFTER FOCAL THERAPY WITH HIGH-INTENSITY FOCUSED ULTRASOUND FOR DETECTION OF CLINICALLY SIGNIFICANT PROSTATE CANCER DURING FOLLOW-UP: A MULTI-INSTITUTIONAL STUDY

You have accessJournal of UrologyCME1 Apr 2023MP09-08 PREDICTIVE VALUE OF LACDINAC-GLYCOSYLATED PROSTATE SPECIFIC ANTIGEN AT 3 MONTHS AFTER FOCAL THERAPY WITH HIGH-INTENSITY FOCUSED ULTRASOUND FOR DETECTION OF CLINICALLY SIGNIFICANT PROSTATE CANCER DURING FOLLOW-UP: A MULTI-INSTITUTIONAL STUDY Sunao Shoji, Kazuya Oda, Tatsuo Kano, Tatsuya Umemoto, Mayura Nakano, Masayoshi Kawakami, Masahiro Nitta, Masanori Hasegawa, and Akira Miyajima Sunao ShojiSunao Shoji More articles by this author , Kazuya OdaKazuya Oda More articles by this author , Tatsuo KanoTatsuo Kano More articles by this author , Tatsuya UmemotoTatsuya Umemoto More articles by this author , Mayura NakanoMayura Nakano More articles by this author , Masayoshi KawakamiMasayoshi Kawakami More articles by this author , Masahiro NittaMasahiro Nitta More articles by this author , Masanori HasegawaMasanori Hasegawa More articles by this author , and Akira MiyajimaAkira Miyajima More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000003224.08AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: LacdiNAc-glycosylated prostate specific antigen (LDN-PSA) is a PSA carrying a prostate cancer (PC)-associated disaccharide LacdiNAc (GalNAcβ1→4GlcNAc) at the non-reducing terminal of N-glycan. The objective of this study was to evaluate the predictive value of LDN-PSA at 3 months after focal therapy with high-intensity focused ultrasound (HIFU) for the detection of clinically significant prostate cancer (csPC) during follow-up. METHODS: From 2018 to 2019, patients whose serum PSA levels were ≤ 20 ng/ml, and who had undergone focal therapy with HIFU based on magnetic resonance imaging (MRI)-transrectal ultrasound (TRUS) fusion image-guided target biopsy and systematic biopsies, were included. LDN-PSA was measured via an automated two-step Wisteria Floribunda Agglutinin lectin–anti-PSA antibody sandwich immunoassay, using an extremely sensitive surface plasmon field-enhanced fluorescence spectrometry system. During follow-up, patients who had elevated PSA values after focal therapy, underwent MRI-TRUS fusion image-guided target and systematic biopsies. The predictive values of LDN-PSA at 3 months after treatment for the prediction of csPC detection in the biopsies were evaluated. RESULTS: Fifty-five patients were included in the study. During median follow-up period of 30 months, 6 patients were diagnosed as pathological recurrences at median 24 months after treatment. Although there were no significant differences in the median PSA and median PSA density (PSAD), there were significant differences in median LDN-PSA (1.69×10-2 U/mL vs. 1.03×10-2 U/mL, p=0.018) and median LDN-PSAD (1.06×10-4 U/mL/cc vs. 0.444×10-4 U/mL/cc, p=0.002) at 3 months after the treatment between the patients with and without detected csPC during follow-up. Using the cut-off value of 0.907×10-4 U/mL/cc of LDN-PSAD, 83% of the patients (n=5) who were diagnosed with pathological recurrence at median 20 months after the treatment, were already predicted to develop this pathological recurrence at 3 months after treatment. CONCLUSIONS: LDN-PSAD at 3 months after focal therapy with HIFU has the potential to predict pathological recurrences during follow-up of these patients. The results could contribute to earlier timing of salvage treatment after focal therapy for csPC. Source of Funding: None © 2023 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 209Issue Supplement 4April 2023Page: e107 Advertisement Copyright & Permissions© 2023 by American Urological Association Education and Research, Inc.MetricsAuthor Information Sunao Shoji More articles by this author Kazuya Oda More articles by this author Tatsuo Kano More articles by this author Tatsuya Umemoto More articles by this author Mayura Nakano More articles by this author Masayoshi Kawakami More articles by this author Masahiro Nitta More articles by this author Masanori Hasegawa More articles by this author Akira Miyajima More articles by this author Expand All Advertisement PDF downloadLoading ...

MSMFN: An Ultrasound Based Multi-Step Modality Fusion Network for Identifying the Histologic Subtypes of Metastatic Cervical Lymphadenopathy.

Identifying squamous cell carcinoma and adenocarcinoma subtypes of metastatic cervical lymphadenopathy (CLA) is critical for localizing the primary lesion and initiating timely therapy. B-mode ultrasound (BUS), color Doppler flow imaging (CDFI), ultrasound elastography (UE) and dynamic contrast-enhanced ultrasound provide effective tools for identification but synthesis of modality information is a challenge for clinicians. Therefore, based on deep learning, rationally fusing these modalities with clinical information to personalize the classification of metastatic CLA requires new explorations. In this paper, we propose Multi-step Modality Fusion Network (MSMFN) for multi-modal ultrasound fusion to identify histological subtypes of metastatic CLA. MSMFN can mine the unique features of each modality and fuse them in a hierarchical three-step process. Specifically, first, under the guidance of high-level BUS semantic feature maps, information in CDFI and UE is extracted by modality interaction, and the static imaging feature vector is obtained. Then, a self-supervised feature orthogonalization loss is introduced to help learn modality heterogeneity features while maintaining maximal task-consistent category distinguishability of modalities. Finally, six encoded clinical information are utilized to avoid prediction bias and improve prediction ability further. Our three-fold cross-validation experiments demonstrate that our method surpasses clinicians and other multi-modal fusion methods with an accuracy of 80.06%, a true-positive rate of 81.81%, and a true-negative rate of 80.00%. Our network provides a multi-modal ultrasound fusion framework that considers prior clinical knowledge and modality-specific characteristics. Our code will be available at: https://github.com/RichardSunnyMeng/MSMFN.

Diagnostic performance of transperineal prostate targeted biopsy alone according to the PI-RADS score based on bi-parametric magnetic resonance imaging.

To compare the diagnostic performance of transperineal targeted biopsy (TB) or systematic biopsy (SB) alone based on combined TB+SB and radical prostatectomy (RP) specimen for detecting prostate cancer (PCa) according to the prostate imaging reporting and data system (PI-RADS) score. This study included 1077 men who underwent transperineal bi-parametric (bp) magnetic resonance imaging (MRI)-ultrasound (US) fusion TB+SB (bpMRI-US FTSB) between April 2019 and March 2022. To compare the performance of each modality (TB, SB, and combined TB+SB) with the RP specimen (as the standard) for detecting PCa and clinically significant PCa (csPCa), receiver operating characteristic (ROC) curves were plotted. PCa was detected in 581 of 1077 men (53.9%) using bpMRI-US FTSB. CsPCa was detected in 383 of 1077 men (35.6%), 17 of 285 (6.0%) with PI-RADS 0 to 2, 35 of 277 (12.6%) with PI-RADS 3, 134 of 274 (48.9%) with PI-RADS 4, and 197 of 241 (81.7%) with PI-RADS 5, respectively. The additional diagnostic value of TB vs. SB compared to combined TB+SB for diagnosing csPCa were 4.3% vs. 3.2% (p=0.844), 20.4% vs 5.1% (p<0.001), and 20.3% vs. 0.7% (p<0.001) with PI-RADS 3, 4, and 5, respectively. TB alone showed no significant difference in diagnostic performance for csPCa with combined TB+SB based on RP specimens in patients with PI-RADS 5 (p=0.732). A need for addition of SB to TB in patients with PI-RADS 3 and 4 lesions, however, TB alone may be performed without affecting the management of patients with PI-RADS 5.