Feasibility of Real-Time Central Surgical Review for Patients with Advanced-Stage Hepatoblastoma in the JPLT3 Trial.
Tomoro HishikiShohei HondaYuichi TakamaYukihiro InomataHideaki OkajimaKen HoshinoTatsuya SuzukiRyota SouzakiMotoshi WadaMureo KasaharaKoichi MizutaTakaharu OueAkiko YokoiTakuro KazamaShugo KomatsuIsamu SaekiOsamu MiyazakiTetsuya TakimotoKohmei IdaKenichiro WatanabeEiso HiyamaPublished in: Children (Basel, Switzerland) (2022)
In the JPLT3 study, a real-time central surgical reviewing (CSR) system was employed aimed at facilitating early referral of candidates for liver transplantation (LTx) to centers with pediatric LTx services. The expected consequence was surgery, including LTx, conducted at the appropriate time in all cases. This study aimed to review the effect of CSR on institutional surgical decisions in cases enrolled in the JPLT3 study. Real-time CSR was performed in cases in which complex surgeries were expected, using images obtained after two courses of preoperative chemotherapy. Using the cloud-based remote image viewing system, an expert panel consisting of pediatric and transplant surgeons reviewed the images and commented on the expected surgical strategy or the necessity of transferring the patient to a transplant unit. The results were summarized and reported to the treating institutions. A total of 41 reviews were conducted for 35 patients, and 16 cases were evaluated as possible candidates for LTx, with the treating institutions being advised to consult a transplant center. Most of the reviewed cases promptly underwent definitive liver surgeries, including LTx per protocol.
Keyphrases
- deep learning
- healthcare
- primary care
- randomized controlled trial
- clinical trial
- newly diagnosed
- systematic review
- machine learning
- convolutional neural network
- ejection fraction
- young adults
- study protocol
- radiation therapy
- prognostic factors
- locally advanced
- rectal cancer
- clinical practice
- phase ii
- thoracic surgery