Radiological Society Research Articles

Transperineal Laser Ablation of the Prostate for Symptomatic Benign Prostatic Hyperplasia: Long-Term Follow-Up in 40 Patients

PurposeTo evaluate the durability, effectiveness, and safety of transperineal laser ablation (TPLA) of the prostate. Materials and MethodsPatients with symptomatic benign prostatic hyperplasia (BPH) underwent TPLA with a 1,064-nm continuous-wave diode laser. International Prostate Symptom Score (IPSS), quality of life (QoL), postvoid residual (PVR), and prostate volume were evaluated at baseline and successive timepoints. ResultsForty prospectively enrolled patients had follow-up of ≥36 months; median duration of follow-up was 57 months (range, 36–76 months). Compared with baseline, the median reduction in IPSS at 12-month follow-up was 74% (interquartile range [IQR], 60%–81%) (P < .001). Median QoL score at 12 months was improved from 5 (IQR, 4–5) at baseline to 1 (IQR, 0–1) (P < .001). Median PVR at 12 months decreased from 108 mL (IQR, 38–178 mL) to 13.5 mL (IQR, 0–40.5 mL) (P < .001), a median reduction of 88% (IQR, 61%–100%). At 12 months, median prostate volume was significantly reduced from 66 mL (IQR, 48.5–86.5 mL) to 46 mL (IQR, 36–65 mL) (P < .001), a median reduction of 32% (IQR, 21%–45%). For all of these parameters, the benefit of TPLA persisted at last follow-up, and all changes were statistically significant compared with baseline. There were no intraprocedural adverse events; periprocedural adverse events consisted of 1 case of prostatitis and 1 case of urinary tract infection (both Society of Interventional Radiology [SIR] Grade I). ConclusionsTPLA for symptomatic BPH produced durable benefits across a range of clinical outcomes and was well tolerated in follow-up at median duration of 57 months.

A Single-Center Experience with a Shear-Thinning Conformable Embolic

The purpose of this study was to evaluate the technical success, effectiveness, and safety of transarterial embolization for acute bleeding management with a shear-thinning conformable embolic. This single-center retrospective study evaluated outcomes after embolization using Obsidio conformable embolic (OCE). Technical success was defined as performing transarterial embolization within the target vessel to complete stasis of antegrade flow. Treatment effectiveness was defined as cessation of bleeding for patients. Eleven patients underwent 11 embolization procedures. A total of 16 arteries were embolized. Indications for embolization were spontaneous tumor bleeding (6/11), hematuria (2/11), active duodenal bleeding (1/11), portal hypertensive bleeding (1/11), and rectus sheath hematoma (1/11). The technical success rate was 100%. The median vessel diameter was 2 mm (range, 1–3 mm). There were no adverse events or off-target embolization. OCE demonstrated technical success and treatment effectiveness with a short-term safety profile for transarterial embolization interventions.

Integrating Text and Image Analysis: Exploring GPT-4V's Capabilities in Advanced Radiological Applications Across Subspecialties.

This study demonstrates that GPT-4V outperforms GPT-4 across radiology subspecialties in analyzing 207 cases with 1312 images from the Radiological Society of North America Case Collection.

Lessons Learned in Building Expertly Annotated Multi-Institution Datasets and Hosting the RSNA AI Challenges.

The Radiological Society of North America (RSNA) has held artificial intelligence competitions to tackle real-world medical imaging problems at least annually since 2017. This article examines the challenges and processes involved in organizing these competitions, with a specific emphasis on the creation and curation of high-quality datasets. The collection of diverse and representative medical imaging data involves dealing with issues of patient privacy and data security. Furthermore, ensuring quality and consistency in data, which includes expert labeling and accounting for various patient and imaging characteristics, necessitates substantial planning and resources. Overcoming these obstacles requires meticulous project management and adherence to strict timelines. The article also highlights the potential of crowdsourced annotation to progress medical imaging research. Through the RSNA competitions, an effective global engagement has been realized, resulting in innovative solutions to complex medical imaging problems, thus potentially transforming health care by enhancing diagnostic accuracy and patient outcomes. Keywords: Use of AI in Education, Artificial Intelligence © RSNA, 2024.

DRL as a common language in patient dose reduction and optimization: A short note from AsiaSafe in 2024 RCRT-RST Annual Congress, Bangkok, Thailand

The AsiaSafe Asian Oceanian Symposium at the 2024 RCRT-RST Annual Congress discussed the situation and role of radiology in patient dose reduction and optimization using Diagnostic Reference Levels (DRLs) as a common language. The scientific committee of the Royal College of Radiologists of Thailand (RCRT) and Radiological Society of Thailand (RST) established the Collaboration Symposia to discuss hot health topics with participated Asian Radiological societies. At the 2024 RCRT-RST Collaboration Symposia, different views, initiatives, and ideas were presented by representatives from societies.

Practice guidelines for managing extrahepatic biliary tract cancers.

Reported incidence of extrahepatic bile duct cancer is higher in Asians than in Western populations. Korea, in particular, is one of the countries with the highest incidence rates of extrahepatic bile duct cancer in the world. Although research and innovative therapeutic modalities for extrahepatic bile duct cancer are emerging, clinical guidelines are currently unavailable in Korea. The Korean Society of Hepato-Biliary-Pancreatic Surgery in collaboration with related societies (Korean Pancreatic and Biliary Surgery Society, Korean Society of Abdominal Radiology, Korean Society of Medical Oncology, Korean Society of Radiation Oncology, Korean Society of Pathologists, and Korean Society of Nuclear Medicine) decided to establish clinical guideline for extrahepatic bile duct cancer in June 2021. Contents of the guidelines were developed through subgroup meetings for each key question and a preliminary draft was finalized through a Clinical Guidelines Committee workshop. In November 2021, the finalized draft was presented for public scrutiny during a formal hearing. The extrahepatic guideline committee believed that this guideline could be helpful in the treatment of patients.

ChatGPT may free time needed by the interventional radiologist for administration / documentation

Motive: Documentation and administration, unpleasant necessities, take a substantial part of the working time in the subspecialty of interventional radiology. With increasing future demand for clinical radiology predicted, time savings from use of text drafting technologies could be a valuable contribution towards our field. Method: Three cases of peripherally inserted central catheter (PICC) line insertion were defined for the present study. The current version of ChatGPT was tasked with drafting reports, following the Radiological Society of North America (RSNA) template. Key results: Score card evaluation by human radiologists indicates that time savings in documentation / administration can be expected without loss of quality from using ChatGPT. Further, automatically generated texts were not assessed to be clearly identifiable as AI-produced. Conclusions: Patients, doctors, and hospital administrators would welcome a reduction of the time that interventional radiologists need for documentation and administration these days. If AI-tools as tested in the present study are brought into clinical application, questions about trust into those systems eg with regard to medical complications will have to be addressed.

Distribution of Normative Percentiles of Liver Stiffness Measurement Using Ultrasound Shear Wave Elastography in an Adult Asian Indian Population

Abstract Objective The aim of this study was to determine the normative percentiles for liver stiffness measurement (LSM) using shear wave elastography in an adult Asian Indian population as part of the preventive radiology initiative of the Indian Radiological and Imaging Association (IRIA). Methods LSMs were ascertained by two-dimensional (2D) shear wave elastography using the Mindray Resona series of ultrasound machines. The image quality was assessed using the motion stability index (M-STB) and reliability (RLB) map. Ten acquisitions were documented, and an interquartile range-to-median (IQR/M) ratio ≤30% kilopascal (kPa) units was considered a good-quality measurement. A subgroup of the study population without comorbidities was chosen to derive the normative percentile distribution of LSM using a generalized least squares multivariable fractional polynomial regression model that adjusted for sex and body mass index (BMI). The effectiveness of the estimated percentiles was assessed on the entire study population using the greater than 90th percentile value of the LSM as the cutoff for abnormality. Results The study included 852 people who underwent shear wave elastography from June 2022 to July 2023. The magnitude of compensated advanced chronic liver disease (cACLD) and clinically significant portal hypertension (CSPH) was 6.81% (95% confidence interval [CI]: 5.30–8.7) and 4.91% (95% CI: 3.67–6.60), respectively. The normative percentiles were estimated from 282 persons without associated comorbidity and risk factors. The mean age (standard deviation [SD]) of the normal individuals was 40.90 ± 12.92 years, and 210 (71.47%) were males. The mean age (SD) of the 570 persons excluded from the normative percentiles analysis was 47.94 (12.49) years and 72.11% were males. The sex- and BMI-adjusted age-specific 90th percentiles of LSM were 8.76, 8.78, 8.96, 8.97, 9.25, and 9.45 kPa for 18 to 20, 21 to 30, 31 to 40, 41 to 50, 51 to 60, and 61 to 70 years, respectively. Conclusion The sex- and BMI-adjusted age-specific 90th percentiles for LSM using shear wave elastography in Asian Indian adults are almost similar to the greater than 9 kPa cutoff proposed by the Society of Radiologists in Ultrasound Liver Elastography Consensus Statement guidelines to discriminate cACLD and CSPH from normal individuals.

Spécificités de la prise en charge diagnostique du cancer du sein chez la femme jeune

Breast cancer in women under the age of 40 is a rare diagnosis, but its course is generally less favourable than that of older women. It generally appears as a palpable mass, and its radiological presentation can sometimes be misleading, in the form of a falsely benign mass. The diagnostic work-up for breast cancer in young women should be complete, combining breast ultrasound and mammography, generally supplemented by breast MRI to look for additional lesions. In the specific case of pregnant or breast-feeding women, the Centre de référence des agents tératogènes (Crat), the American College of Radiology (ACR), the European Society of Urogenital Radiology (ESUR), the International Commission on Radiological Protection (ICRP) and the Société française de radiologie (SFR) have issued recommendations to ensure the safety of mother and child during complementary examinations.

Investigating the detection of breast cancer with deep transfer learning using ResNet18 and ResNet34

A lot of underdeveloped nations particularly in Africa struggle with cancer-related, deadly diseases. Particularly in women, the incidence of breast cancer is rising daily because of ignorance and delayed diagnosis. Only by correctly identifying and diagnosing cancer in its very early stages of development can be effectively treated. The classification of cancer can be accelerated and automated with the aid of computer-aided diagnosis and medical image analysis techniques. This research provides the use of transfer learning from a Residual Network 18 (ResNet18) and Residual Network 34 (ResNet34) architectures to detect breast cancer. The study examined how breast cancer can be identified in breast mammography pictures using transfer learning from ResNet18 and ResNet34, and developed a demo app for radiologists using the trained models with the best validation accuracy. 1, 200 datasets of breast x-ray mammography images from the National Radiological Society’s (NRS) archives were employed in the study. The dataset was categorised as implant cancer negative, implant cancer positive, cancer negative and cancer positive in order to increase the consistency of x-ray mammography images classification and produce better features. For the multi-class classification of the images, the study gave an average accuracy for binary classification of benign or malignant cancer cases of 86.7% validation accuracy for ResNet34 and 92% validation accuracy for ResNet18. A prototype web application showcasing ResNet18 performance has been created. The acquired results show how transfer learning can improve the accuracy of breast cancer detection, providing invaluable assistance to medical professionals, particularly in an African scenario.

Alban Köhler - A review of his 150th birthday based on his "memoirs" and his X-ray books

150 years ago, on March 1, 1874, Prof. Dr. Alban Köhler, pioneer in X-ray diagnostics and Co-founder of the German Radiological Society, was born. His memoirs "Röntgenarztes Erdenwallen", an extraordinarily personal, interesting and humorous autobiography of a contemporary witness from the early days of the X-ray era, will be used to commemorate him. This work also focuses on his outstanding X-ray books on skeletal diseases and standard variants.

Efficacy of Trimetazidine in the Prevention of Contrast-Induced Nephropathy in Patients Undergoing Contrast Coronary Intervention: A Systematic Review and Meta-Analysis (PRISMA).

Objective: The present systematic review assessed the efficacy of peri-procedurally administered trimetazidine in the prevention of contrast-induced nephropathy (CIN) in patients undergoing coronary interventions with contrast agents. Methods: We performed a systematic literature review of articles published in PubMed and Google Scholar by 7 December 2023 and included articles from the last 15 years that evaluated the efficacy of trimetazidine in preventing CIN in cardiac patients undergoing coronary intervention. Results: After title/abstract and full-text screening, this systematic review included 9 randomized controlled trials (N = 2158 patients) with two groups: Trimetazidine (60-70 mg/day 24 to 48 h before and up to 72 h after the procedure) with hydration and the control group with only hydration. A total of 234/2158 patients developed CIN (Incidence rate [IR], 10.8%) as per the CIN definition of the Contrast Media Safety Committee of the European Society of Urogenital Radiology. The incidence of CIN in the trimetazidine vs. control group was 6.4% (69/1083) vs. 15.4% (165/1075), and the odds ratio (95% CI) was 0.3753 (0.279-0.504). Conclusions: In conclusion, the trimetazidine group had a lower incidence of CIN. Trimetazidine offers a reno-protective effect and helps in reducing the CIN incidence in patients undergoing cardiac intervention. Peri-procedure administration of trimetazidine significantly decreases the risk of CIN in patients despite comorbidities.

The Relation of Polymerase Chain Reaction and Computed Tomography Infiltrations of Suspected Covid-19 Patients in Emergency Department

Aims: In the context of the persistent global challenge posed by COVID-19, effective diagnostic methods are crucial. Considering the limitations of Polymerase Chain Reaction (PCR) in the Emergency Department (ED), alternative confirmation methods for assessing Covid-19 are needed. This study aimed to evaluate the performance of Thorax-Computed Tomography (T-CT), following Radiological Society of North America (RSNA) recommendations, for suspected Covid-19 patients with pulmonary infiltrations. Materials and Methods: From March to August 2020, 324 ED patients with suspected Covid-19 underwent T-CT scans. Blinded radiologists independently assessed T-CT scans based on RSNA guidelines. Reverse-transcriptase polymerase chain reaction (RT-PCR) served as the reference test. Results: Of 324 patients, 35% tested positive via RT-PCR. T-CT categories were typical (35.2%), indeterminate (47.5%), and atypical (11.1%). Using a typical T-CT category threshold resulted in 66% sensitivity, 81% specificity, 65% positive predictive value (PPV), 82% negative predictive value (NPV), and 76% accuracy. Subgroup analysis of repeat RT-PCR tests improved performance: 80% sensitivity, 79% specificity, 76% PPV, 83% NPV, and 79% accuracy. Combining RT-PCR and T-CT in the ED achieved 95.5% sensitivity, 79% PPV, and 86.4% accuracy. Conclusion: Following RSNA guidelines, T-CT exhibits moderate sensitivity and high specificity for detecting Covid-19. In ED settings with suspected cases, T-CT aids in recommending retesting after an initial negative RT-PCR result, facilitating early management and enabling timely isolation measures. The combined use of RT-PCR and T-CT enhances diagnostic performance, emphasizing the potential benefits of integrating these methods.

Society of Radiologists in Ultrasound Consensus on Routine Pelvic US for Endometriosis.

Endometriosis is a prevalent and potentially debilitating condition that mostly affects individuals of reproductive age, and often has a substantial diagnostic delay. US is usually the first-line imaging modality used when patients report chronic pelvic pain or have issues of infertility, both common symptoms of endometriosis. Other than the visualization of an endometrioma, sonologists frequently do not appreciate endometriosis on routine transvaginal US images. Given a substantial body of literature describing techniques to depict endometriosis at US, the Society of Radiologists in Ultrasound convened a multidisciplinary panel of experts to make recommendations aimed at improving the screening process for endometriosis. The panel was composed of experts in the imaging and management of endometriosis, including radiologists, sonographers, gynecologists, reproductive endocrinologists, and minimally invasive gynecologic surgeons. A comprehensive literature review combined with a modified Delphi technique achieved a consensus. This statement defines the targeted screening population, describes techniques for augmenting pelvic US, establishes direct and indirect observations for endometriosis at US, creates an observational grading and reporting system, and makes recommendations for additional imaging and patient management. The panel recommends transvaginal US of the posterior compartment, observation of the relative positioning of the uterus and ovaries, and the uterine sliding sign maneuver to improve the detection of endometriosis. These additional techniques can be performed in 5 minutes or less and could ultimately decrease the delay of an endometriosis diagnosis in at-risk patients.

British Society of Urogenital Radiology (BSUR) commentary: FIGO staging of endometrial cancer 2023 update - implications for imaging

The FIGO staging of endometrial cancer (EC) was updated in 2023. This includes updated anatomical information about the tumour (including classifying myometrial invasion into none, superficial and deep and the concept of subserosal invasion) and incorporates histological and molecular features of the tumour into the staging system.This update will profoundly change assessment and management of EC, with a welcome move to personalised care and targeted treatment according to tumour type and prognosis. Some of this information is, however, unlikely to be available at the time of pre-operative radiological assessment. As such, in many cases, radiologists will no longer be able to assign a reliable provisional stage based on imaging alone.This article, written by members of the ******* committee, summarises the changes to the staging system and how they impact on radiological practice. A suggested approach to imaging selection and reporting is presented.

ChatGPT: Evaluating answers on contrast media related questions and finetuning by providing the model with the ESUR guideline on contrast agents

ObjectiveThis study aimed to assess the feasibility of GPT-4 for answering questions related to contrast media with and without the context of the European Society of Urogenital Radiology (ESUR) guideline on contrast agents. The overarching goal was to determine whether contextual enrichment by providing guideline information improves answers of GPT-4 for clinical decision-making in radiology. MethodsA set of 64 questions, based on the ESUR guideline on contrast agents mirroring pertinent sections, was developed and posed to GPT-4 both directly and after providing the guideline using a plugin. Responses were graded by experienced radiologists for quality of information and accuracy in pinpointing information from the guideline as well as by radiology residents for utility, using Likert-scales. ResultsGPT-4′s performance improved significantly with the guideline. Without the guideline, average quality rating was 3.98, which increased to 4.33 with the guideline (p = 0036). In terms of accuracy, 82.3% of answers matched the information from the guideline. Utility scores also reflected a significant improvement with the guideline, with average scores of 4.1 (without) and 4.4 (with) (p = 0.008) with a Fleiss´ Kappa of 0.44. ConclusionGPT-4, when contextually enriched with a guideline, demonstrates enhanced capability in providing guideline-backed recommendations. This approach holds promise for real-time clinical decision-support, making guidelines more actionable. However, further refinements are necessary to maximize the potential of large language models (LLMs). Inherent limitations need to be addressed.

Prognostic factors for overall survival and safety of trans-arterial chemoembolization (TACE) with irinotecan-loaded drug-eluting beads (DEBIRI) in patients with colorectal liver metastases.

Transarterial chemoembolisation with irinotecan-loaded drug-eluting beads (DEBIRI TACE) can be considered in patients with unresectable colorectal cancer liver metastases (CRLM) who progress after all approved standard therapies or in patients unsuitable for systemic therapy. Between September 2010 and March 2020, thirty patients (22 men and 8 women; mean age 66.8 ± 13.2) were included in this retrospective study. DEBIRI TACE was conducted in 43% of patients unsuitable for systemic therapy as a first-line treatment and 57% as salvage therapy after the progression of systemic therapy. All the patients had liver-limited disease. In the case of unilobar disease, two treatments were performed at four-week intervals, and in the case of bilobar disease, four treatments were performed at two-week intervals. All patients were premedicated and monitored after the procedure. Adverse events were graded according to the Cardiovascular and Interventional Radiological Society of Europe (CIRSE) classification system for complications. The median overall survival (OS) from the beginning of DEBIRI TACE in the salvage group was 17.4 months; in the group without prior systemic therapy, it was 21.6 months. The median overall survival of all patients was 17.4 months (95% confidence interval [CI]: 10.0-24.7 months), and progression-free survival (PFS) was 4.2 months (95% CI: 0.9-7.4 months). The one-year survival rate after the procedure was 61%, and the two-year rate was 25%. Univariate analysis showed better survival of patients with four or fewer liver metastases (p = 0.002). There were no treatment-related deaths or grade 4 and 5 adverse events. Nonserious adverse events (Grades 1 and 2) were present in 53% of patients, and Grade 3 adverse events were present in 6% of the patients. DEBIRI TACE is a well-tolerated treatment option for patients with liver metastases of colorectal cancer. Patients with four or fewer liver metastases correlated with better survival.

HGCMorph: joint discontinuity-preserving and pose-learning via GNN and capsule networks for deformable medical images registration

Objective. This study aims to enhance medical image registration by addressing the limitations of existing approaches that rely on spatial transformations through U-Net, ConvNets, or Transformers. The objective is to develop a novel architecture that combines ConvNets, graph neural networks (GNNs), and capsule networks to improve the accuracy and efficiency of medical image registration, which can also deal with the problem of rotating registration. Approach. We propose an deep learning-based approach which can be utilized in both unsupervised and semi-supervised manners, named as HGCMorph. It leverages a hybrid framework that integrates ConvNets and GNNs to capture lower-level features, specifically short-range attention, while also utilizing capsule networks (CapsNets) to model abstract higher-level features, including entity properties such as position, size, orientation, deformation, and texture. This hybrid framework aims to provide a comprehensive representation of anatomical structures and their spatial relationships in medical images. Main results. The results demonstrate the superiority of HGCMorph over existing state-of-the-art deep learning-based methods in both qualitative and quantitative evaluations. In unsupervised training process, our model outperforms the recent SOTA method TransMorph by achieving 7%/38% increase on Dice score coefficient (DSC), and 2%/7% improvement on negative jacobian determinant for OASIS and LPBA40 datasets, respectively. Furthermore, HGCMorph achieves improved registration accuracy in semi-supervised training process. In addition, when dealing with complex 3D rotations and secondary randomly deformations, our method still achieves the best performance. We also tested our methods on lung datasets, such as Japanese Society of Radiology, Montgoermy and Shenzhen. Significance. The significance lies in its innovative design to medical image registration. HGCMorph offers a novel framework that overcomes the limitations of existing methods by efficiently capturing both local and abstract features, leading to enhanced registration accuracy, discontinuity-preserving, and pose-learning abilities. The incorporation of capsule networks introduces valuable improvements, making the proposed method a valuable contribution to the field of medical image analysis. HGCMorph not only advances the SOTA methods but also has the potential to improve various medical applications that rely on accurate image registration.

Time-dependent CT score-based model for identifying severe/critical COVID-19 at a fever clinic after the emergence of Omicron variant

Rationale and objectivesThe computed tomography (CT) score has been used to evaluate the severity of COVID-19 during the pandemic; however, most studies have overlooked the impact of infection duration on the CT score. This study aimed to determine the optimal cutoff CT score value for identifying severe/critical COVID-19 during different stages of infection and to construct corresponding predictive models using radiological characteristics and clinical factors. Materials and methodsThis retrospective study collected consecutive baseline chest CT images of confirmed COVID-19 patients from a fever clinic at a tertiary referral hospital from November 28, 2022, to January 8, 2023. Cohorts were divided into three subcohorts according to the time interval from symptom onset to CT examination at the hospital: early phase (0–3 days), intermediate phase (4–7 days), and late phase (8–14 days). The binary endpoints were mild/moderate and severe/critical infection. The CT scores and qualitative CT features were manually evaluated. A logistic regression analysis was performed on the CT score as determined by a visual assessment to predict severe/critical infection. Receiver operating characteristic analysis was performed and the area under the curve (AUC) was calculated. The optimal cutoff value was determined by maximizing the Youden index in each subcohort. A radiology score and integrated models were then constructed by combining the qualitative CT features and clinical features, respectively, using multivariate logistic regression with stepwise elimination. ResultsA total of 962 patients (aged, 61.7 ± 19.6 years; 490 men) were included; 179 (18.6%) were classified as severe/critical COVID-19, while 344 (35.8%) had a typical Radiological Society of North America (RSNA) COVID-19 appearance. The AUCs of the CT score models reached 0.91 (95% confidence interval (CI) 0.88–0.94), 0.82 (95% CI 0.76–0.87), and 0.83 (95% CI 0.77–0.89) during the early, intermediate, and late phases, respectively. The best cutoff values of the CT scores during each phase were 1.5, 4.5, and 5.5. The predictive accuracies associated with the time-dependent cutoff values reached 88% (vs.78%), 73% (vs. 63%), and 87% (vs. 57%), which were greater than those associated with universal cutoff value (all P < 0.001). The radiology score models reached AUCs of 0.96 (95% CI 0.94–0.98), 0.90 (95% CI 0.87–0.94), and 0.89 (95% CI 0.84–0.94) during the early, intermediate, and late phases, respectively. The integrated models including demographic and clinical risk factors greatly enhanced the AUC during the intermediate and late phases compared with the values obtained with the radiology score models; however, an improvement in accuracy was not observed. ConclusionThe time interval between symptom onset and CT examination should be tracked to determine the cutoff value for the CT score for identifying severe/critical COVID-19. The radiology score combining qualitative CT features and the CT score complements clinical factors for identifying severe/critical COVID-19 patients and facilitates timely hierarchical diagnoses and treatment.

Long-term outcomes after percutaneous cryoablation of abdominal wall endometriosis.

To retrospectively evaluate the long-term outcomes after percutaneous cryoablation of abdominal wall endometriosis (AWE). The Institutional Review Board approved this retrospective observational review of 40 consecutive patients, of a median age of 37years (interquartile range [IQR] 32-40years), presenting with a total of 52 symptomatic AWE nodules. All patients underwent cryoablation between January 2013 and May 2022 with a minimum follow-up period of 12months. Outcomes were assessed using a visual analog scale (VAS) that measured pain, as well as by magnetic resonance imaging (MRI). The pain-free survival rates were derived using the Kaplan-Meier estimator. Adverse events were analyzed and graded using the classification system of the Cardiovascular and Interventional Radiological Society of Europe. The median follow-up time was 40.5months (IQR 26.5-47.2months). The median VAS score before cryoablation was 8 (IQR 7-9). Complete relief of symptoms was documented in 80% (32/40) of patients at 3months after initial cryoablation and correlated with the absence of residual endometriosis nodules on MRI. The median pain-free survival rates were 89.2% [95% CI, 70.1-96.4%] at 36months and 76.8% [95% CI, 55.3-83.8%] after 60months. No patient or lesion characteristics were found to be prognostic of failure. No major adverse events or side effects were reported in long term. Cryoablation safely and effectively afforded long-term pain relief for patients with AWE nodules. AWE cryoablation was found to be safe and effective in the long-term. • Cryoablation is highly effective with 80% of patients experiencing complete relief of AWE symptoms after a single procedure. • Cryoablation is safe without long-term adverse events or side effects. • The median pain-free survival rates are 89.2% at 36months and 76.8% at 60months.