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Welch, Brian

Mayo Clinic

Department of Radiology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA. Welch.Brian@mayo.edu.

Citations 3

Deep convolutional‐neural‐network‐based metal artifact reduction for CT‐guided interventional oncology procedures (MARIO)
Cao, Wenchao , Parvinian, Ahmad , Welch, Brian T. , Callstrom, Matthew R. , Ren, Liqiang , Missert, A. , Favazza, Christopher , Adamo, Daniel, Welch, Brian, Callstrom, Matthew, Missert, Andrew, Favazza, Christopher P, Adamo, Daniel A. , Missert, Andrew

Medical Physics | February 14, 2024 | Volume: 51 | Issue: 6 | Pages: 4231-4242

10.1002/mp.16980 Get It

AbstractBackgroundComputed tomography (CT) is routinely used to guide cryoablation procedures. Notably, CT‐guidance provides 3D localization of cryoprobes and can be used to delineate frozen tissue during ablation. However, metal‐induced artifacts from ablation probes can make accurate probe placement challenging and degrade the ice ball conspicuity, which in combination could lead to undertreatment of potentially curable lesions.PurposeIn this work, we propose an image‐based neural network (CNN) model for metal artifact reduction for CT‐guided interventional procedures.MethodsAn image domain metal artifact simulation framework was developed and validated for deep‐learning‐based metal artifact reduction for interventional oncology (MARIO). CT scans were acquired for 19 different cryoablation probe configurations. The probe configurations varied in the number of probes and the relative orientations. A combination of intensity thresholding and masking based on maximum intensity projections (MIPs) was used to segment both the probes only and probes + artifact in each phantom image. Each of the probe and probe + artifact images were then inserted into 19 unique patient exams, in the image domain, to simulate metal artifact appearance for CT‐guided interventional oncology procedures. The resulting 361 pairs of simulated image volumes were partitioned into disjoint training and test datasets of 304 and 57 volumes, respectively. From the training partition, 116 600 image patches with a shape of 128 × 128 × 5 pixels were randomly extracted to be used for training data. The input images consisted of a superposition of the patient and probe + artifact images. The target images consisted of a superposition of the patient and probe only images. This dataset was used to optimize a U‐Net type model. The trained model was then applied to 50 independent, previously unseen CT images obtained during renal cryoablations. Three board‐certified radiologists with experience in CT‐guided ablations performed a blinded review of the MARIO images. A total of 100 images (50 original, 50 MARIO processed) were assessed across different aspects of image quality on a 4‐point likert‐type item. Statistical analyses were performed using Wilcoxon signed‐rank test for paired samples.ResultsReader scores were significantly higher for MARIO processed images compared to the original images across all metrics (all p < 0.001). The average scores of the overall image quality, iceball conspicuity, overall metal artifact, needle tip visualization, target region confidence, and worst metal artifact, needle tip visualization, iceball conspicuity, and target region confidence improved by 34.91%, 36.29%, 39.94%, 34.17%, 35.13%, and 45.70%, respectively.ConclusionsThe proposed method of image‐based metal artifact simulation can be used to train a MARIO algorithm to effectively reduce probe‐related metal artifacts in CT‐guided cryoablation procedures.
Case series: The use of spermatic cord block in maximising patient comfort during ultrasound‐guided percutaneous core‐needle biopsy of the testicle
Dunlay, Michael , Gu, Chris N., Welch, Brian T. , Packard, Annie T. , Atwell, Thomas D. , Gu, Chris, Adamo, Daniel, Welch, Brian, Packard, Annie, Atwell, Thomas, Adamo, Daniel A.

Australasian Journal of Ultrasound in Medicine | August 8, 2023 | Volume: 26 | Issue: 4 | Pages: 267-271

10.1002/ajum.12356 Get It

AbstractIntroduction/PurposePercutaneous core‐needle biopsy of the testicle has been shown to be a safe and effective method of obtaining tissue for histological analysis and can be considered in specific clinical scenarios. While the use of spermatic cord block has been shown to be effective in pain relief in the emergent setting and as an anaesthetic option for inguinal surgery, its use in percutaneous core‐needle biopsy has not been well described. Through this case series, we present our experience and technique of ultrasound‐guided percutaneous core‐needle biopsy using spermatic cord block in the setting of indeterminant testicular masses.MethodsOur departmental biopsy database was reviewed to identify patients who underwent percutaneous core‐needle biopsy of the testicle from March 2010 to July 2022 and who also received spermatic cord block during the procedure.ResultsThree patients were identified who met the search criteria. All three patients presented for the evaluation of indeterminant testicular mass and had a known non‐testicular primary cancer diagnosis at the time of biopsy. All three biopsies were performed using a combination of spermatic cord block, moderate sedation, and local anaesthetic. Biopsies were obtained using an 18‐gauge spring‐loaded device with 4‐5 core samples obtained during each procedure. All biopsies were well tolerated without significant pain or post‐procedure complications.DiscussionUltrasound‐guided percutaneous core‐needle testicular biopsy using spermatic cord block is a safe and effective option in sampling indeterminate testicular masses while maintaining patient comfort.ConclusionThe inclusion of a spermatic cord block in combination with local anaesthetic and moderate sedation has become standard practice in our institution, as we believe this maximises patient comfort and safety resulting in a better patient experience.
Efficacy and Safety of Ablative Therapy in the Treatment of Patients with Metastatic Pheochromocytoma and Paraganglioma
Kohlenberg, Jacob , Welch, Brian T. , Hamidi, Oksana , Callstrom, Matthew R. , Morris, Jonathan M. , Welch, Brian, Callstrom, Matthew, Hamidi, Oksana , Morris, Jonathan , Šprung, Juraj , Bancos, Irina , Young, William F.

Cancers | February 7, 2019 | Volume: 11 | Issue: 2 | Pages: 195

10.3390/cancers11020195 Get It

Metastatic pheochromocytoma and paraganglioma (PPGL) are incurable neuroendocrine tumors. The goals of treatment include palliating symptoms and reducing tumor burden. Little is known about the use of radiofrequency ablation (RFA), cryoablation (CRYO), and percutaneous ethanol injection (PEI) to treat metastatic PPGL. We performed a retrospective study of patients age 17 years and older with metastatic PPGL who were treated with ablative therapy at Mayo Clinic, USA, between June 14, 1999 and November 14, 2017. Our outcomes measures were radiographic response, procedure-related complications, and symptomatic improvement. Thirty-one patients with metastatic PPGL had 123 lesions treated during 42 RFA, 23 CRYO, and 4 PEI procedures. The median duration of follow-up was 60 months (range, 0–163 months) for non-deceased patients. Radiographic local control was achieved in 69/80 (86%) lesions. Improvement in metastasis-related pain or symptoms of catecholamine excess was achieved in 12/13 (92%) procedures. Thirty-three (67%) procedures had no known complications. Clavien-Dindo Grade I, II, IV, and V complications occurred after 7 (14%), 7 (14%), 1 (2%), and 1 (2%) of the procedures, respectively. In patients with metastatic PPGL, ablative therapy can effectively achieve local control and palliate symptoms.