Guidelines for the Evaluation of Pulmonary Nodules Detected Incidentally or by Screening: A Survey of Radiologist Awareness, Agreement, and Adherence From the Watch the Spot Trial

Gould, Michael K.; Altman, Danielle E.; Creekmur, Beth; Qi, Lihong; Bie, Evan de; Golden, Sara E.; Kaplan, Celia P.; Kelly, Karen; Miglioretti, Diana L.; Mularski, Richard A.; Musigdilok, Visanee V.; Smith‐Bindman, Rebecca; Steltz, Jennifer P; Wiener, Renda Soylemez; Aberle, Denise R.; Dyer, Debra S.; Vachani, Anil

doi:10.1016/j.jacr.2020.10.003

Cited by 6 publications

(3 citation statements)

References 16 publications

(26 reference statements)

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“…A large portion of the incidental findings identified in this study was pulmonary nodules. This is not surprising given the rate at which pulmonary nodules are incidentally noted on other imaging studies and the predicted prevalence with which they occur in the general population [ 12 , 13 ]. In fact, pulmonary nodules are common enough that guidelines exist for categorization based on need for further work-up, management, and risk of lung cancer [ 14 , 15 ].…”

Section: Discussionmentioning

confidence: 97%

Rate of incidental findings on routine preoperative computed tomography for shoulder arthroplasty

Meeker,

Bozoghlian,

Hartog

et al. 2024

Clin Shoulder Elb

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Background: Incidental findings are commonly noted in advanced imaging studies. Few data exist regarding the rate of incidental findings on computed tomography (CT) for preoperative shoulder arthroplasty planning. This study aims to identify the incidence of these findings and the rate at which they warrant further work-up to help guide orthopedic surgeons in counseling patients.Methods: A retrospective review was performed to identify patients with available preoperative shoulder CT who subsequently underwent shoulder arthroplasty procedures at a single institution between 2015 and 2021. Data including age, sex, and smoking status were obtained. Radiology reports for CTs were reviewed for incidental findings and categorized based on location, tissue type, and/or body system. The rate of incidental findings and the rate at which further follow-up was recommended by the radiologist were determined.Results: A total of 617 patients was identified. There were 173 incidental findings noted in 146 of these patients (23.7%). Findings ranged from pulmonary (59%), skin/soft tissue (16%), thyroid (13%), vascular (9%), spinal (2%), and abdominal (1%) areas. Of the pulmonary findings, 50% were pulmonary nodules and 47% were granulomatous disease. Overall, the final radiology report recommended further follow-up for 50% of the patients with incidental findings.Conclusions: Incidental findings are relatively common in preoperative CTs obtained for shoulder arthroplasty, occurring in nearly one-quarter of patients. Most of these findings are pulmonary in nature. Overall, half of the patients with incidental findings were recommended for further follow-up. These results establish population data to guide orthopedic surgeons in patient counseling.Level of evidence: III.

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Section: Discussionmentioning

confidence: 97%

Rate of incidental findings on routine preoperative computed tomography for shoulder arthroplasty

Meeker,

Bozoghlian,

Hartog

et al. 2024

Clin Shoulder Elb

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“…The radiologists have high levels of familiarity and adherence to guidelines for pulmonary nodule evaluation, but they may overestimate the quality of evidence in support of the recommendations 15 . In addition, the incidental nodules are usually <6 mm in size and do not need further follow up 16 unless they are subsolid nodules (including those with pure ground-glass or part-solid types) close to 6 mm in size with suspicious morphology or other risk factors 17 .…”

Section: Discussionmentioning

confidence: 99%

Incidental lung findings in coronary computed tomography angiography

Eldeş

Kara

2021

Rev. Assoc. Med. Bras.

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“…Exploiting various features extracted from obtained CT images and forward machine learning methods to achieve automatic classification and detection of pulmonary nodules into malignant and benign types is necessary for therapeutic decision (Ciompi, et al, 2017). Based on the size of the pulmonary nodule, benign and malignant type is categorized (Gould et al, 2021). The nodules with the higher range of malignance are suggested for biopsy tests, targeted therapy, or surgery and then with low prospective for CT surveillance.…”

Section: Introductionmentioning

confidence: 99%

A study on specific learning algorithms pertaining to classify lung cancer disease

et al. 2021

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Lung cancer is a worldwide precarious disease and it is encouraged by the abnormal growth of cells in bronchi. Spotting the cancer cells is unknown until it leads to respiration issues and the muddling of organs working. Due to problems, limited or incorrect selection of hypothesis space, and dropping into local minima, single learners often give erratic output in an existing approach. The ensemble method accomplished a dataset that is free and composed of computed tomography (CT) images. The annotation process reveals observed lung lesions and provides a degree of malignancy for each lesion. Detection of benign and malignant nodules is recognized using deep convolutional frameworks AlexNet, SqueezeNet, GoogleNet, ResNet, and Inception ResNet, achieves higher accuracy (93%) than other convolutional neural networks (CNNs). Eight machine learning methods are involved for achieving better performance. The prediction probability obtained from CNN is applied as input to support vector machines (SVM), K‐nearest neighbours (KNN), naive Bayes (NB), multi‐layer perceptron (MLP), decision trees (DT), gradient boosted regression trees (GBRT), and adaptive boosting. The composition of GoogleNet model and AdaBoost classifier reached the most coherent classification accuracy as 99%. This is one of the best ways to analyse early detection and it increases the survival rate. Therefore, the result from the proposed deep CNN and ML technique achieves better precision than sputum cytology, X‐Ray process, and earlier detection of lung cancer.

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Guidelines for the Evaluation of Pulmonary Nodules Detected Incidentally or by Screening: A Survey of Radiologist Awareness, Agreement, and Adherence From the Watch the Spot Trial

Cited by 6 publications

References 16 publications

Rate of incidental findings on routine preoperative computed tomography for shoulder arthroplasty

Rate of incidental findings on routine preoperative computed tomography for shoulder arthroplasty

Incidental lung findings in coronary computed tomography angiography

A study on specific learning algorithms pertaining to classify lung cancer disease

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