Clinical Usefulness of the CT-Based Radiomics Nomogram in Predicting the Postoperative Prognosis of Colorectal Cancer

Huang, Qing-xiu; Huang, Xiaowen

doi:10.1016/j.acra.2022.08.005

Cited by 2 publications

(2 citation statements)

References 5 publications

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“…The nomogram depicts the interrelationships among various variables, with each variable corresponding to a line segment and the scale representing its value range. The length of each line segment re ects the contribution of that variable to the outcome event [24]. In this study, we integrated independent risk factors for vaginal delivery, binocular hemorrhage, and macular involvement into a nomogram model.…”

Section: Discussionmentioning

confidence: 99%

Risk factors of retinal hemorrhage among full-term newborns in Anhui Province of China: a retrospective study

Huang,

Wang,

et al. 2023

Preprint

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Background Neonatal fundus disease lacks typical symptoms, thus early identification and prompt treatment are crucial for preventing visual dysfunction. This study aimed to identify the factors influencing the severity of retinal hemorrhage. Methods A total of 507 full-term newborns who underwent fundus disease screening at Suzhou Municipal Hospital from January 2023 to July 2023 were enrolled in this study. All full-term newborns underwent fundus examination using RetCam III shuttle within 7 days of birth, and clinical information on the newborns and their mothers was collected. Univariate and multivariate regression analyses were employed to identify independent risk factors and develop clinical risk nomogram. The risk nomogram was developed using the rms package and evaluated using decision curve analyses. Results Among the 507 newborns included in the study, a total of 210 cases exhibited fundus abnormalities. Retinal hemorrhage was identified as the most prevalent fundus abnormality (75.71%), followed by familial exudative vitreoretinopathy (14.76%) and retinopathy of prematurity (3.8%). Univariate and multivariate analysis demonstrated that vaginal delivery (OR = 4.875), binocular hemorrhage (OR = 6.434), and macular involvement (OR = 3.932) as independent risk factors for severe retinal hemorrhage. The C-index of the nomogram model was 0.804, with AUC of the ROC curve at 0.804 (95%CI, 0.733–0.875). The decision curve analysis indicated clinical risk nomogram has application value. Conclusion Vaginal delivery, binocular hemorrhage and macular involvement are risk factors for neonatal retinal hemorrhage. The clinical risk model can effectively predict the severity of neonatal retinal hemorrhage.

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Section: Discussionmentioning

confidence: 99%

Risk factors of retinal hemorrhage among full-term newborns in Anhui Province of China: a retrospective study

Huang,

Wang,

et al. 2023

Preprint

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“…One of the studies actually used a software tool that was specifically designed for stroke [41], StrokeBERT, which is a language representation model based on Google's Bidirectional Encoder Representations from Transformers (BERT) [47]. Other studies used models that were adapted to broader medical terminology, including ClinicalBERT [52], BioClinicalBERT [53], and BioWordVec [54], or models tuned with standard medical vocabularies such as Systematized Nomenclature of Medicine (SNOMED) [55] or Unified Medical Language System (UMLS) [56].…”

Section: Other Statistical Toolsmentioning

confidence: 99%

Applications of Natural Language Processing for the Management of Stroke Disorders: Scoping Review

De Rosario,

Pitarch-Corresa,

Pedrosa

et al. 2023

JMIR Med Inform

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Background Recent advances in natural language processing (NLP) have heightened the interest of the medical community in its application to health care in general, in particular to stroke, a medical emergency of great impact. In this rapidly evolving context, it is necessary to learn and understand the experience already accumulated by the medical and scientific community. Objective The aim of this scoping review was to explore the studies conducted in the last 10 years using NLP to assist the management of stroke emergencies so as to gain insight on the state of the art, its main contexts of application, and the software tools that are used. Methods Data were extracted from Scopus and Medline through PubMed, using the keywords “natural language processing” and “stroke.” Primary research questions were related to the phases, contexts, and types of textual data used in the studies. Secondary research questions were related to the numerical and statistical methods and the software used to process the data. The extracted data were structured in tables and their relative frequencies were calculated. The relationships between categories were analyzed through multiple correspondence analysis. Results Twenty-nine papers were included in the review, with the majority being cohort studies of ischemic stroke published in the last 2 years. The majority of papers focused on the use of NLP to assist in the diagnostic phase, followed by the outcome prognosis, using text data from diagnostic reports and in many cases annotations on medical images. The most frequent approach was based on general machine learning techniques applied to the results of relatively simple NLP methods with the support of ontologies and standard vocabularies. Although smaller in number, there has been an increasing body of studies using deep learning techniques on numerical and vectorized representations of the texts obtained with more sophisticated NLP tools. Conclusions Studies focused on NLP applied to stroke show specific trends that can be compared to the more general application of artificial intelligence to stroke. The purpose of using NLP is often to improve processes in a clinical context rather than to assist in the rehabilitation process. The state of the art in NLP is represented by deep learning architectures, among which Bidirectional Encoder Representations from Transformers has been found to be especially widely used in the medical field in general, and for stroke in particular, with an increasing focus on the processing of annotations on medical images.

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Clinical Usefulness of the CT-Based Radiomics Nomogram in Predicting the Postoperative Prognosis of Colorectal Cancer

Cited by 2 publications

References 5 publications

Risk factors of retinal hemorrhage among full-term newborns in Anhui Province of China: a retrospective study

Risk factors of retinal hemorrhage among full-term newborns in Anhui Province of China: a retrospective study

Applications of Natural Language Processing for the Management of Stroke Disorders: Scoping Review

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