{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T04:10:54Z","timestamp":1778040654205,"version":"3.51.4"},"reference-count":43,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2026,3,27]],"date-time":"2026-03-27T00:00:00Z","timestamp":1774569600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T00:00:00Z","timestamp":1778025600000},"content-version":"vor","delay-in-days":40,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"funder":[{"name":"This work was supported by The Research and Development Program of The General Hospital of Western Theater Command","award":["2024-YGJS-B01"],"award-info":[{"award-number":["2024-YGJS-B01"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Med Imaging"],"DOI":"10.1186\/s12880-026-02309-z","type":"journal-article","created":{"date-parts":[[2026,3,27]],"date-time":"2026-03-27T16:17:45Z","timestamp":1774628265000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Construction and validation of high altitude pulmonary edema prediction models based on deep learning and quantitative analysis of X-ray images"],"prefix":"10.1186","volume":"26","author":[{"given":"Xuelong","family":"Geng","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ziyi","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yi","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jing","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qijie","family":"Xiang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Feizhou","family":"Du","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peng","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rui","family":"Jiang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,3,27]]},"reference":[{"issue":"1","key":"2309_CR1","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1186\/s40798-023-00590-8","volume":"9","author":"O Castagna","year":"2023","unstructured":"Castagna O, Druelle A, Michoud G, Prevautel T, Lacour JR. Individual changes in respiratory compliance upon immersion may predict susceptibility to immersion pulmonary edema[J]. Sports medicine-open. 2023;9(1):39\u201339.","journal-title":"Sports medicine-open"},{"issue":"4","key":"2309_CR2","doi-asserted-by":"publisher","first-page":"1542","DOI":"10.3390\/jcm12041542","volume":"12","author":"JLF Santos","year":"2023","unstructured":"Santos JLF, Zanardi P, Alo V, Dos Santos V, Bovone L, Rodriguez M, et al. Lung Injury in COVID-19 Has Pulmonary Edema as an Important Component and Treatment with Furosemide and Negative Fluid Balance (NEGBAL) Decreases Mortality[J]. J Clin Med. 2023;12(4):1542\u20131542.","journal-title":"J Clin Med"},{"issue":"4","key":"2309_CR3","doi-asserted-by":"publisher","first-page":"1059","DOI":"10.1002\/ppul.26294","volume":"58","author":"S Ucros","year":"2023","unstructured":"Ucros S, Aparicio C, Castro-Rodriguez JA, Ivy D. High altitude pulmonary edema in children: A systematic review[J]. Pediatr Pulmonol. 2023;58(4):1059\u201367.","journal-title":"Pediatr Pulmonol"},{"issue":"6","key":"2309_CR4","doi-asserted-by":"publisher","first-page":"1539","DOI":"10.1152\/japplphysiol.00824.2019","volume":"128","author":"ER Swenson","year":"2020","unstructured":"Swenson ER. Early hours in the development of high-altitude pulmonary edema: time course and mechanisms[J]. J Appl Physiol. 2020;128(6):1539\u201346.","journal-title":"J Appl Physiol"},{"issue":"6","key":"2309_CR5","doi-asserted-by":"publisher","first-page":"668","DOI":"10.5005\/jp-journals-10071-23827","volume":"25","author":"U Yanamandra","year":"2021","unstructured":"Yanamandra U, Vardhan V, Saxena P, Singh P, Gupta A, Mulajkar D, et al. Radiographical spectrum of high-altitude pulmonary edema: a pictorial essay[J]. Indian J Crit Care Medicine: Peer-reviewed Official Publication Indian Soc Crit Care Med. 2021;25(6):668\u2013668.","journal-title":"Indian J Crit Care Medicine: Peer-reviewed Official Publication Indian Soc Crit Care Med"},{"issue":"2","key":"2309_CR6","doi-asserted-by":"publisher","first-page":"154","DOI":"10.1016\/j.amjms.2020.12.015","volume":"362","author":"J Xu","year":"2021","unstructured":"Xu J, Lv L, He B, Wang G, Kong D. Characteristics of high altitude pulmonary edema in Naqu at the altitude of 4500 m[J]. Am J Med Sci. 2021;362(2):154\u201360.","journal-title":"Am J Med Sci"},{"issue":"4","key":"2309_CR7","doi-asserted-by":"publisher","first-page":"571","DOI":"10.4266\/acc.2022.00423","volume":"37","author":"RC De Rosa","year":"2022","unstructured":"De Rosa RC, Romanelli A, Gallifuoco M, et al. Extravascular lung water index, pulmonary vascular permeability index, and global end-diastolic volume index in mechanically ventilated COVID-19 patients requiring prone position ventilation: a preliminary retrospective study[J]. Acute Crit Care. 2022;37(4):571\u2013571.","journal-title":"Acute Crit Care"},{"issue":"1","key":"2309_CR8","doi-asserted-by":"publisher","first-page":"11524","DOI":"10.1038\/s41598-021-91043-3","volume":"11","author":"S Rasch","year":"2021","unstructured":"Rasch S, Schmidle P, Sancak S, Herner A, Huberle C, Schulz D, et al. Increased extravascular lung water index (EVLWI) reflects rapid non-cardiogenic oedema and mortality in COVID-19 associated ARDS[J]. Sci Rep. 2021;11(1):11524\u201311524.","journal-title":"Sci Rep"},{"issue":"06","key":"2309_CR9","first-page":"460","volume":"36","author":"F Jia","year":"2022","unstructured":"Jia F, Yuanjia P, Yonghua H, Pengju J, Deqing N, Juanqin, et al. Correlation between X-ray imaging and clinical manifestations of high altitude pulmonary edema[J]. J Joint Logistics Military Med. 2022;36(06):460\u20133.","journal-title":"J Joint Logistics Military Med"},{"issue":"1","key":"2309_CR10","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1089\/ham.2024.0037","volume":"26","author":"G Miserocchi","year":"2025","unstructured":"Miserocchi G. Physiopathology of high-altitude pulmonary edema[J]. High Alt Med Biol. 2025;26(1):1\u201312.","journal-title":"High Alt Med Biol"},{"issue":"2","key":"2309_CR11","first-page":"112","volume":"47","author":"J Tao","year":"2023","unstructured":"Tao J, Su B, Wang J, Tian M. Application of clinical medical imaging technology in the diagnosis and treatment evaluation of altitude sickness[J]. Int J Radiat Med Nucl Med. 2023;47(2):112\u20137.","journal-title":"Int J Radiat Med Nucl Med"},{"issue":"7","key":"2309_CR12","first-page":"929","volume":"45","author":"Z Xiong Yumei","year":"2024","unstructured":"Xiong Yumei Z, Tingying F, Tiefu. Tian Hang. New progress in the clinical application of ultrasound in the diagnosis and evaluation of pediatric lung diseases[J]. Guangdong Med J. 2024;45(7):929\u2013929.","journal-title":"Guangdong Med J"},{"issue":"11","key":"2309_CR13","first-page":"1469","volume":"16","author":"T Lindow","year":"2023","unstructured":"Lindow T, Quadrelli S, Ugander M. Noninvasive imaging methods for quantification of pulmonary edema and congestion: a systematic review[J]. Cardiovasc Imaging. 2023;16(11):1469\u201384.","journal-title":"Cardiovasc Imaging"},{"issue":"2","key":"2309_CR14","doi-asserted-by":"publisher","first-page":"379","DOI":"10.1007\/s00441-020-03172-2","volume":"380","author":"J Grune","year":"2020","unstructured":"Grune J, Beyhoff N, Hegemann N, Lauryn JH, Kuebler WM. From bedside to bench: lung ultrasound for the assessment of pulmonary edema in animal models[J]. Cell Tissue Res. 2020;380(2):379\u201392.","journal-title":"Cell Tissue Res"},{"issue":"2","key":"2309_CR15","doi-asserted-by":"publisher","first-page":"252","DOI":"10.3390\/diagnostics12020252","volume":"12","author":"T Kameda","year":"2022","unstructured":"Kameda T, Kamiyama N, Taniguchi N. The mechanisms underlying vertical artifacts in lung ultrasound and their proper utilization for the evaluation of cardiogenic pulmonary edema[J]. Diagnostics. 2022;12(2):252\u2013252.","journal-title":"Diagnostics"},{"issue":"18","key":"2309_CR16","doi-asserted-by":"publisher","first-page":"6043","DOI":"10.3390\/jcm12186043","volume":"12","author":"K Mostafa","year":"2023","unstructured":"Mostafa K, Wolf C, Seehafer S, Horr A, Pommert N, Haneya A, et al. Redefining Unilateral Pulmonary Edema after Mitral Valve Surgery on Chest X-ray Imaging Using the RALE Scoring System[J]. J Clin Med. 2023;12(18):6043\u20136043.","journal-title":"J Clin Med"},{"issue":"3","key":"2309_CR17","doi-asserted-by":"publisher","first-page":"41","DOI":"10.4236\/ojanes.2024.143004","volume":"14","author":"K Tewari","year":"2024","unstructured":"Tewari K, Pelluru S, Mishra D, Pahuja N, Mohapatra AR, Sharma J, et al. Comparison of efficacy of lung ultrasound and chest X-ray in diagnosing pulmonary edema and pleural effusion in ICU patients: A single centre, prospective, observational study[J]. Open J Anesthesiology. 2024;14(3):41\u201350.","journal-title":"Open J Anesthesiology"},{"issue":"1","key":"2309_CR18","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.ultrasmedbio.2019.08.008","volume":"46","author":"Z Zhu","year":"2020","unstructured":"Zhu Z, Lian X, Zeng Y, Wu W, Xu Z, Chen Y, et al. Point-of-care ultrasound\u2014A new option for early quantitative assessment of pulmonary edema[J]. Ultrasound Medicine&Biology. 2020;46(1):1\u201310.","journal-title":"Ultrasound Medicine&Biology"},{"issue":"3","key":"2309_CR19","doi-asserted-by":"publisher","first-page":"284","DOI":"10.1177\/0885066617743477","volume":"35","author":"G Vergani","year":"2020","unstructured":"Vergani G, Cressoni M, Crimella F. A morphological and quantitative analysis of lung CT scan in patients with acute respiratory distress syndrome and in cardiogenic pulmonary edema[J]. J Intensive Care Med. 2020;35(3):284\u201392.","journal-title":"J Intensive Care Med"},{"issue":"8","key":"2309_CR20","first-page":"901","volume":"43","author":"C Duan Xiaoqian","year":"2022","unstructured":"Duan Xiaoqian C, Jiangang W, Yin Q, Wei C, Yucheng M, Yebo, et al. Classification of four lung ultrasound signs based on deep learning [J]. Former Acad J Second Military Med Univ. 2022;43(8):901\u20137.","journal-title":"Former Acad J Second Military Med Univ"},{"issue":"1","key":"2309_CR21","first-page":"24","volume":"43","author":"J Fan Haohao","year":"2023","unstructured":"Fan Haohao J, Qianqian X, Wenyu C, Jiangang H, Chao L. The value of automatic lung ultrasound scoring based on artificial intelligence for the assessment of extravascular lung water in ARDS patients [J]. Chin J Crit Care Med. 2023;43(1):24\u20139.","journal-title":"Chin J Crit Care Med"},{"issue":"5","key":"2309_CR22","doi-asserted-by":"publisher","first-page":"945","DOI":"10.1016\/j.ultrasmedbio.2022.01.023","volume":"48","author":"Q Huang","year":"2022","unstructured":"Huang Q, Lei Y, Xing W, He C, Wei G, Miao Z, et al. Evaluation of pulmonary edema using ultrasound imaging in patients with COVID-19 pneumonia based on a non-local channel attention ResNet[J]. Ultrasound medicine&biology. 2022;48(5):945\u201353.","journal-title":"Ultrasound medicine&biology"},{"issue":"2","key":"2309_CR23","first-page":"73","volume":"7","author":"C Hayat","year":"2021","unstructured":"Hayat C. DenseNet-CNN architectural model for detection of abnormality in acute pulmonary edema[J]. Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika. 2021;7(2):73\u20139.","journal-title":"Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika"},{"issue":"1","key":"2309_CR24","first-page":"121","volume":"32","author":"F Zhao Qiqi","year":"2023","unstructured":"Zhao Qiqi F, Li L, Yuquan W. Study on the correlation between CT emphysema volume and small shadow density and lung function in pneumoconiosis[J]. Comput Tomography Theory Appl. 2023;32(1):121\u20139.","journal-title":"Comput Tomography Theory Appl"},{"issue":"6","key":"2309_CR25","first-page":"698","volume":"42","author":"Y Meng Xiangfu","year":"2023","unstructured":"Meng Xiangfu Y, Ziyi Y, Xiaolin H, Jiayue. Prediction model of tumor mutation load in lung adenocarcinoma based on pathological tissue sections[J]. Chin J Biomedical Eng. 2023;42(6):698\u2013709.","journal-title":"Chin J Biomedical Eng"},{"issue":"1","key":"2309_CR26","first-page":"1","volume":"18","author":"RD Bhosale","year":"2025","unstructured":"Bhosale RD, Yadav DM. Multiple Pulmonary Disease Detection from CXR Images with Hybrid ViT and DTCWT Architecture[J]. Int J Comput. 2025;18(1):1\u201319.","journal-title":"Int J Comput"},{"issue":"7","key":"2309_CR27","doi-asserted-by":"publisher","first-page":"839","DOI":"10.1007\/s42979-024-03120-9","volume":"5","author":"A Kumar","year":"2024","unstructured":"Kumar A, Mehta R, Reddy BR, Singh KK. Vision transformer based effective model for early detection and classification of lung cancer[J]. SN Comput Sci. 2024;5(7):839\u2013839.","journal-title":"SN Comput Sci"},{"issue":"1","key":"2309_CR28","first-page":"20240419","volume":"34","author":"N Almughamisi","year":"2025","unstructured":"Almughamisi N, Abosamra G, Albar A, Saleh M. Detection of single and dual pulmonary diseases using an optimized vision transformer[J]. J Intell Syst. 2025;34(1):20240419\u201320240419.","journal-title":"J Intell Syst"},{"issue":"3","key":"2309_CR29","first-page":"556","volume":"19","author":"P Yutong","year":"2023","unstructured":"Yutong P. Liang Fengmei. Breast ultrasound image tumor segmentation method based on CNN and ViT[J]. CAAI Trans Intell Syst. 2023;19(3):556\u201364.","journal-title":"CAAI Trans Intell Syst"},{"key":"2309_CR30","unstructured":"Lei YM. Comparative study of chest MSCT before and after treatment of high altitude pulmonary edema. Chinese Journal of CT and MRI. 2024;22:176."},{"issue":"5","key":"2309_CR31","first-page":"319","volume":"22","author":"XHP Tingting","year":"2021","unstructured":"Tingting XHP, Yu L, Caijun W, Haidong H, Qing K, et al. Comparative study of lung ultrasound and bedside chest X-ray in the diagnosis of community-acquired pneumonia in the elderly[J]. J Clin Emerg. 2021;22(5):319\u201324.","journal-title":"J Clin Emerg"},{"key":"2309_CR32","doi-asserted-by":"crossref","unstructured":"Sanli Y, Tianwei W, Xuelian Y, Furong S, He J. Lung field segmentation algorithm based on improved U-Net. Laser Optoelectronics Progress. 2022;59(2):0210010.","DOI":"10.3788\/LOP202259.0210010"},{"issue":"3","key":"2309_CR33","doi-asserted-by":"publisher","first-page":"722","DOI":"10.11834\/jig.210769","volume":"27","author":"C Feng Longfeng","year":"2022","unstructured":"Feng Longfeng C, Ying Z, Taohui H, Fei Y, Zhen. A review of lung and lung lesion segmentation methods in CT images[J]. J Image Graphics. 2022;27(3):722\u201349.","journal-title":"J Image Graphics"},{"issue":"1","key":"2309_CR34","doi-asserted-by":"publisher","first-page":"191","DOI":"10.1186\/s12911-024-02591-3","volume":"24","author":"J Ko","year":"2024","unstructured":"Ko J, Park S, Woo HG. Optimization of vision transformer-based detection of lung diseases from chest X-ray images[J]. BMC Med Inf Decis Mak. 2024;24(1):191\u2013191.","journal-title":"BMC Med Inf Decis Mak"},{"issue":"4","key":"2309_CR35","doi-asserted-by":"publisher","first-page":"2806","DOI":"10.1002\/mp.16781","volume":"51","author":"Z Shi","year":"2024","unstructured":"Shi Z, Geng K, Zhao X, Mahmoudi F, Haas CJ, Leader JK, et al. XRayWizard: Reconstructing 3-D lung surfaces from a single 2\u2010D chest x\u2010ray image via Vision Transformer[J]. Med Phys. 2024;51(4):2806\u201316.","journal-title":"Med Phys"},{"issue":"1","key":"2309_CR36","doi-asserted-by":"publisher","first-page":"167","DOI":"10.1109\/TNB.2023.3298444","volume":"23","author":"SC Pal","year":"2023","unstructured":"Pal SC, Toumpanakis D, Wikstr\u00f6m J, et al. Multi-level residual dual attention network for major cerebral arteries segmentation in MRA toward diagnosis of cerebrovascular disorders[J]. IEEE Trans Nanobiosci. 2023;23(1):167\u201375.","journal-title":"IEEE Trans Nanobiosci"},{"key":"2309_CR37","doi-asserted-by":"crossref","unstructured":"Pal SC, Banerjee S, Toumpanakis D, et al. Segmentation of major cerebral vessel from mra images and evaluation using u-net family[C]\/\/2022 IEEE 6th International conference on condition assessment techniques in electrical systems (CATCON). IEEE; 2022: 235\u2013238.","DOI":"10.1109\/CATCON56237.2022.10077711"},{"key":"2309_CR38","doi-asserted-by":"crossref","unstructured":"Pal SC, Toumpanakis D, Wikstr\u00f6m J, et al. Automated segmentation of post-treatment intracranial aneurysms from MRA images: a u-net based approach[C]\/\/2024 IEEE 21st India Council International Conference (INDICON). IEEE; 2024: 1\u20135.","DOI":"10.1109\/INDICON63790.2024.10958485"},{"key":"2309_CR39","doi-asserted-by":"crossref","unstructured":"Pal SC, Toumpanakis D, Wikstr\u00f6m J, et al. Context-aware preprocessing method for reduction of volume of interest towards quantification of pre and post-treatment intracranial aneurysms in MRA[C]\/\/International Conference on Pattern Recognition. Cham: Springer Nature Switzerland; 2024:233\u2013242.","DOI":"10.1007\/978-3-031-88220-3_17"},{"issue":"1","key":"2309_CR40","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1007\/s13721-025-00551-z","volume":"14","author":"SC Pal","year":"2025","unstructured":"Pal SC, Ahuja CK, Toumpanakis D, et al. Computationally efficient dilated residual networks for segmentation of major cerebral vessels in MRA[J]. Netw Model Anal Health Inf Bioinf. 2025;14(1):95.","journal-title":"Netw Model Anal Health Inf Bioinf"},{"issue":"1","key":"2309_CR41","doi-asserted-by":"publisher","first-page":"e70199","DOI":"10.1049\/ipr2.70199","volume":"19","author":"SC Pal","year":"2025","unstructured":"Pal SC, Ahuja CK, Toumpanakis D, et al. Computer-Aided Volumetric Quantification of Pre\u2010and Post\u2010Treatment Intracranial Aneurysms in MRA[J]. IET Image Proc. 2025;19(1):e70199.","journal-title":"IET Image Proc"},{"issue":"7","key":"2309_CR42","doi-asserted-by":"publisher","first-page":"4446","DOI":"10.1007\/s00330-022-08588-8","volume":"32","author":"J Cheng","year":"2022","unstructured":"Cheng J, Sollee J, Hsieh C, et al. COVID-19 mortality prediction in the intensive care unit with deep learning based on longitudinal chest X-rays and clinical data[J]. Eur Radiol. 2022;32(7):4446\u201356.","journal-title":"Eur Radiol"},{"issue":"6","key":"2309_CR43","doi-asserted-by":"publisher","first-page":"2751","DOI":"10.3390\/app11062751","volume":"11","author":"A Souid","year":"2021","unstructured":"Souid A, Sakli N, Sakli H. Classification and predictions of lung diseases from chest x-rays using mobilenet v2[J]. Appl Sci. 2021;11(6):2751\u20139.","journal-title":"Appl Sci"}],"container-title":["BMC Medical Imaging"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/article\/10.1186\/s12880-026-02309-z","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12880-026-02309-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12880-026-02309-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T03:14:03Z","timestamp":1778037243000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1186\/s12880-026-02309-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,3,27]]},"references-count":43,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2026,12]]}},"alternative-id":["2309"],"URL":"https:\/\/doi.org\/10.1186\/s12880-026-02309-z","relation":{},"ISSN":["1471-2342"],"issn-type":[{"value":"1471-2342","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,3,27]]},"assertion":[{"value":"19 November 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 March 2026","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 March 2026","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"This research has been submitted to and approved by the review committee of the Chinese People\u2019s Liberation Army General Hospital of the Western Theater Command. Informed consent to participate was obtained from all of the participants in the study. The study adhered to the Declaration of Helsinki to this effect.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"All participants agreed to make the presentation.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"The authors declare no competing interests.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"235"}}