TY - JOUR
T1 - Manual and Semi-Automated Measurement and Calculation of Osteosarcoma Treatment Effect Using Whole Slide Image and Qupath
AU - He, Mai
AU - He, Bofan
AU - Weng, Jinyi
AU - Cheng, Jerry Q.
AU - Gu, Huanying
N1 - Publisher Copyright:
© 2023, Society for Pediatric Pathology All rights reserved.
PY - 2024/1/1
Y1 - 2024/1/1
N2 - Introduction: In osteosarcoma, the most significant indicator of prognosis is the histologic changes related to tumor response to preoperative chemotherapy, such as necrosis. We have developed a method to measure the osteosarcoma treatment effect using whole slide image (WSI) with an open-source digital image analytical software Qupath. Materials and Methods: In Qupath, each osteosarcoma case was treated as a project. All H&E slides from the entire representative slice of osteosarcoma were scanned into WSIs and imported into a project in Qupath. The regions of tumor and tumor necrosis were annotated, and their areas were measured in Qupath. In order to measure the osteosarcoma treatment effect, we needed to calculate the percentage of total necrosis area over total tumor area. We developed a tool that can automatically extract all values of tumor and necrosis areas from a Qupath project into an Excel file, sum these values for necrosis and whole tumor respectively, and calculate necrosis/tumor percentage. Conclusion: Our method that combines WSI with Qupath can provide an objective measurement to facilitate pathologist’s assessment of osteosarcoma response to treatment. The proposed approach can also be used for other types of tumors that have clinical need for post-treatment response assessment.
AB - Introduction: In osteosarcoma, the most significant indicator of prognosis is the histologic changes related to tumor response to preoperative chemotherapy, such as necrosis. We have developed a method to measure the osteosarcoma treatment effect using whole slide image (WSI) with an open-source digital image analytical software Qupath. Materials and Methods: In Qupath, each osteosarcoma case was treated as a project. All H&E slides from the entire representative slice of osteosarcoma were scanned into WSIs and imported into a project in Qupath. The regions of tumor and tumor necrosis were annotated, and their areas were measured in Qupath. In order to measure the osteosarcoma treatment effect, we needed to calculate the percentage of total necrosis area over total tumor area. We developed a tool that can automatically extract all values of tumor and necrosis areas from a Qupath project into an Excel file, sum these values for necrosis and whole tumor respectively, and calculate necrosis/tumor percentage. Conclusion: Our method that combines WSI with Qupath can provide an objective measurement to facilitate pathologist’s assessment of osteosarcoma response to treatment. The proposed approach can also be used for other types of tumors that have clinical need for post-treatment response assessment.
KW - Qupath
KW - artificial intelligence
KW - image analysis
KW - osteosarcoma
KW - response to treatment
KW - tumor assessment
KW - whole slide image
UR - http://www.scopus.com/inward/record.url?scp=85176351812&partnerID=8YFLogxK
U2 - 10.1177/10935266231207937
DO - 10.1177/10935266231207937
M3 - Article
C2 - 37943723
AN - SCOPUS:85176351812
SN - 1093-5266
VL - 27
SP - 32
EP - 38
JO - Pediatric and Developmental Pathology
JF - Pediatric and Developmental Pathology
IS - 1
ER -