Cargando…

Using 2-dimensional hand photographs to predict postoperative biochemical remission in acromegaly patients: a transfer learning approach

BACKGROUND: The primary treatment goals in acromegaly patients are complete surgical removal of underlying pituitary tumors and biochemical remission. One of the challenges in developing countries is the difficulty in monitoring postoperative biochemical levels in acromegaly patients, particularly t...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Mengqi, Duan, Chengbin, Yao, Shun, Chen, Jinping, Zhang, Shaolin, Wang, Zongming, Hu, Bin, Mao, Zhigang, Wang, Haijun, Zhu, Yonghong, Chen, Wenli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10240016/
https://www.ncbi.nlm.nih.gov/pubmed/37284118
http://dx.doi.org/10.21037/qims-22-1101
_version_ 1785053645219299328
author Wang, Mengqi
Duan, Chengbin
Yao, Shun
Chen, Jinping
Zhang, Shaolin
Wang, Zongming
Hu, Bin
Mao, Zhigang
Wang, Haijun
Zhu, Yonghong
Chen, Wenli
author_facet Wang, Mengqi
Duan, Chengbin
Yao, Shun
Chen, Jinping
Zhang, Shaolin
Wang, Zongming
Hu, Bin
Mao, Zhigang
Wang, Haijun
Zhu, Yonghong
Chen, Wenli
author_sort Wang, Mengqi
collection PubMed
description BACKGROUND: The primary treatment goals in acromegaly patients are complete surgical removal of underlying pituitary tumors and biochemical remission. One of the challenges in developing countries is the difficulty in monitoring postoperative biochemical levels in acromegaly patients, particularly those who live in remote areas or regions with limited medical resources. METHODS: In an attempt to overcome the abovementioned challenges, we conducted a retrospective study and established a mobile and low-cost method to predict biochemical remission in acromegaly patients after surgery, the efficacy of which was assessed retrospectively using the China Acromegaly Patient Association (CAPA) database. A total of 368 surgical patients from the CAPA database were successfully followed up to obtain their hand photographs. Demographics, baseline clinical characteristics, pituitary tumor features, and treatment details were collated. Postoperative outcome, defined as biochemical remission at the last follow-up timepoint, was assessed. Transfer learning with a new mobile tailored neurocomputing architecture, MobileNetv2, was used to explore the identical features that could be used as predictors of long-term biochemical remission after surgery. RESULTS: As expected, the MobileNetv2-based transfer learning algorithm was shown to predict biochemical remission with statistical accuracies of 0.96 and 0.76 in the training cohort (n=803) and validation cohort (n=200), respectively, and the loss function value was 0.82. CONCLUSIONS: Our findings demonstrate the potential of the MobileNetv2-based transfer learning algorithm in predicting biochemical remission for postoperative patients who are at home or live far away from a pituitary or neuroendocrinological treatment center.
format Online
Article
Text
id pubmed-10240016
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher AME Publishing Company
record_format MEDLINE/PubMed
spelling pubmed-102400162023-06-06 Using 2-dimensional hand photographs to predict postoperative biochemical remission in acromegaly patients: a transfer learning approach Wang, Mengqi Duan, Chengbin Yao, Shun Chen, Jinping Zhang, Shaolin Wang, Zongming Hu, Bin Mao, Zhigang Wang, Haijun Zhu, Yonghong Chen, Wenli Quant Imaging Med Surg Original Article BACKGROUND: The primary treatment goals in acromegaly patients are complete surgical removal of underlying pituitary tumors and biochemical remission. One of the challenges in developing countries is the difficulty in monitoring postoperative biochemical levels in acromegaly patients, particularly those who live in remote areas or regions with limited medical resources. METHODS: In an attempt to overcome the abovementioned challenges, we conducted a retrospective study and established a mobile and low-cost method to predict biochemical remission in acromegaly patients after surgery, the efficacy of which was assessed retrospectively using the China Acromegaly Patient Association (CAPA) database. A total of 368 surgical patients from the CAPA database were successfully followed up to obtain their hand photographs. Demographics, baseline clinical characteristics, pituitary tumor features, and treatment details were collated. Postoperative outcome, defined as biochemical remission at the last follow-up timepoint, was assessed. Transfer learning with a new mobile tailored neurocomputing architecture, MobileNetv2, was used to explore the identical features that could be used as predictors of long-term biochemical remission after surgery. RESULTS: As expected, the MobileNetv2-based transfer learning algorithm was shown to predict biochemical remission with statistical accuracies of 0.96 and 0.76 in the training cohort (n=803) and validation cohort (n=200), respectively, and the loss function value was 0.82. CONCLUSIONS: Our findings demonstrate the potential of the MobileNetv2-based transfer learning algorithm in predicting biochemical remission for postoperative patients who are at home or live far away from a pituitary or neuroendocrinological treatment center. AME Publishing Company 2023-04-06 2023-06-01 /pmc/articles/PMC10240016/ /pubmed/37284118 http://dx.doi.org/10.21037/qims-22-1101 Text en 2023 Quantitative Imaging in Medicine and Surgery. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Original Article
Wang, Mengqi
Duan, Chengbin
Yao, Shun
Chen, Jinping
Zhang, Shaolin
Wang, Zongming
Hu, Bin
Mao, Zhigang
Wang, Haijun
Zhu, Yonghong
Chen, Wenli
Using 2-dimensional hand photographs to predict postoperative biochemical remission in acromegaly patients: a transfer learning approach
title Using 2-dimensional hand photographs to predict postoperative biochemical remission in acromegaly patients: a transfer learning approach
title_full Using 2-dimensional hand photographs to predict postoperative biochemical remission in acromegaly patients: a transfer learning approach
title_fullStr Using 2-dimensional hand photographs to predict postoperative biochemical remission in acromegaly patients: a transfer learning approach
title_full_unstemmed Using 2-dimensional hand photographs to predict postoperative biochemical remission in acromegaly patients: a transfer learning approach
title_short Using 2-dimensional hand photographs to predict postoperative biochemical remission in acromegaly patients: a transfer learning approach
title_sort using 2-dimensional hand photographs to predict postoperative biochemical remission in acromegaly patients: a transfer learning approach
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10240016/
https://www.ncbi.nlm.nih.gov/pubmed/37284118
http://dx.doi.org/10.21037/qims-22-1101
work_keys_str_mv AT wangmengqi using2dimensionalhandphotographstopredictpostoperativebiochemicalremissioninacromegalypatientsatransferlearningapproach
AT duanchengbin using2dimensionalhandphotographstopredictpostoperativebiochemicalremissioninacromegalypatientsatransferlearningapproach
AT yaoshun using2dimensionalhandphotographstopredictpostoperativebiochemicalremissioninacromegalypatientsatransferlearningapproach
AT chenjinping using2dimensionalhandphotographstopredictpostoperativebiochemicalremissioninacromegalypatientsatransferlearningapproach
AT zhangshaolin using2dimensionalhandphotographstopredictpostoperativebiochemicalremissioninacromegalypatientsatransferlearningapproach
AT wangzongming using2dimensionalhandphotographstopredictpostoperativebiochemicalremissioninacromegalypatientsatransferlearningapproach
AT hubin using2dimensionalhandphotographstopredictpostoperativebiochemicalremissioninacromegalypatientsatransferlearningapproach
AT maozhigang using2dimensionalhandphotographstopredictpostoperativebiochemicalremissioninacromegalypatientsatransferlearningapproach
AT wanghaijun using2dimensionalhandphotographstopredictpostoperativebiochemicalremissioninacromegalypatientsatransferlearningapproach
AT zhuyonghong using2dimensionalhandphotographstopredictpostoperativebiochemicalremissioninacromegalypatientsatransferlearningapproach
AT chenwenli using2dimensionalhandphotographstopredictpostoperativebiochemicalremissioninacromegalypatientsatransferlearningapproach