Intraoperative margin assessment for basal cell carcinoma with deep learning and histologic tumor mapping to surgical site

JJ Levy, MJ Davis, RS Chacko, MJ Davis, LJ Fu… - NPJ Precision …, 2024 - nature.com
Successful treatment of solid cancers relies on complete surgical excision of the tumor either
for definitive treatment or before adjuvant therapy. Intraoperative and postoperative radial …

ArcticAI: a deep learning platform for rapid and accurate histological assessment of intraoperative tumor margins

J Levy, M Davis, R Chacko, M Davis, L Fu, T Goel… - medRxiv, 2022 - medrxiv.org
Successful treatment of solid cancers relies on complete surgical excision of the tumor either
for definitive treatment or before adjuvant therapy. Radial sectioning of the resected tumor …

Perioperative margin detection in basal cell carcinoma using a deep learning framework: a feasibility study

AML Santilli, A Jamzad, NNY Janssen… - International Journal of …, 2020 - Springer
Purpose Basal cell carcinoma (BCC) is the most commonly diagnosed cancer and the
number of diagnosis is growing worldwide due to increased exposure to solar radiation and …

Integration of a deep learning basal cell carcinoma detection and tumor mapping algorithm into the Mohs micrographic surgery workflow and effects on clinical staffing …

R Chacko, MJ Davis, J Levy, M LeBoeuf - medRxiv, 2023 - medrxiv.org
Background Staffing shortages and inadequate healthcare access have driven the
development of artificial intelligence (AI)-enabled tools in medicine. Accuracy of these …

Multi-magnification-based machine learning as an ancillary tool for the pathologic assessment of shaved margins for breast carcinoma lumpectomy specimens

TM D'Alfonso, DJ Ho, MG Hanna, A Grabenstetter… - Modern …, 2021 - nature.com
The surgical margin status of breast lumpectomy specimens for invasive carcinoma and
ductal carcinoma in situ (DCIS) guides clinical decisions, as positive margins are associated …

Deep learning on basal cell carcinoma in vivo reflectance confocal microscopy data

V Shavlokhova, M Vollmer, P Gholam, B Saravi… - Journal of personalized …, 2022 - mdpi.com
Background: Extended skin malignancies of the head and neck region are among the most
common cancer types and are associated with numerous diagnostic and therapeutical …

Development and validation of a deep learning model for improving detection of nonmelanoma skin cancers treated with Mohs micrographic surgery

E Tan, S Lim, D Lamont, R Epstein, D Lim, FPY Lin - JAAD international, 2024 - Elsevier
Background Real-time review of frozen sections underpins the quality of Mohs surgery.
There is an unmet need for low-cost techniques that can improve Mohs surgery by reliably …

Toward intraoperative margin assessment using a deep learning-based approach for automatic tumor segmentation in breast lumpectomy ultrasound images

D Veluponnar, LL de Boer, F Geldof, LJS Jong… - Cancers, 2023 - mdpi.com
Simple Summary During breast-conserving surgeries, there is no accurate method available
for evaluating the edges (margins) of breast cancer specimens to determine if the tumor has …

Deep learning classification of deep ultraviolet fluorescence images toward intra-operative margin assessment in breast cancer

T To, T Lu, JM Jorns, M Patton, TG Schmidt… - Frontiers in …, 2023 - frontiersin.org
Background Breast-conserving surgery is aimed at removing all cancerous cells while
minimizing the loss of healthy tissue. To ensure a balance between complete resection of …

Whole‐slide margin control through deep learning in Mohs micrographic surgery for basal cell carcinoma

MCM van Zon, JD van der Waa, M Veta… - Experimental …, 2021 - Wiley Online Library
Background Basal cell carcinoma (BCC) is the most common type of skin cancer with
incidence rates rising each year. Mohs micrographic surgery (MMS) is most often chosen as …