ArticleDiagnostics (Basel, Switzerland)2022
Analysis of the Causes of Solitary Pulmonary Nodule Misdiagnosed as Lung Cancer by Using Artificial Intelligence: A Retrospective Study at a Single Center.
Article in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed.
- Article
- Acute fibrinous and organizing pneumonia presents as right lung upper lobe cavitary lesion: Case report and literature review.Medicine · 2025Review
- When herpes masks a greater threat: A case report of granulomatosis with polyangiitis.Medicine · 2025Article
- A Thorough Review of the Clinical Applications of Artificial Intelligence in Lung Cancer.Cancers · 2025Review
- When a sore throat turns into deadly multiple serous cavity effusions: the role ofFrontiers in medicine · 2025Article
- Case Report: Exploring delayed hyperprogressive disease: a case study of post-immunotherapy in lung cancer.Frontiers in immunology · 2025Article
- Case Report: Cracking the case: unique presentation of pulmonary sarcomatoid carcinoma with spherical lung metastases.Frontiers in medicine · 2025Article
- Case Report: Do not diagnose lung cancer as pneumonia: continue to monitor a case of invasive mucinous adenocarcinoma as it progresses from small to large.Frontiers in medicine · 2025Article
- AI-Powered Clinical Decision Support Systems in Disease Diagnosis, Treatment Planning, and Prognosis: A Systematic Review.Medical journal of the Islamic Republic of Iran · 2025Review
- Safety and efficacy of anatomical tunneling technique for precise lung segment resection in complex anatomical settings.BMC surgery · 2024Article
- Predicting malignant potential of solitary pulmonary nodules in patients with COVID-19 infection: a comprehensive analysis of CT imaging and tumor markers.BMC infectious diseases · 2024Article
- Metagenome next-generation sequencing plays a key role in the diagnosis and selection of effective antibiotics on the treatment ofFrontiers in medicine · 2024Article
- Unveiling the dark side ofFrontiers in medicine · 2024Article
- Unveiling the synergetic benefits of the tunneling technique using stapler tractor in precise resection of lung segments: a retrospective cohort study.Frontiers in oncology · 2024Article
- The safety and efficacy of the fissure-first approach in lung segmentectomy for patients with incomplete fissures.Frontiers in oncology · 2024Article
- Challenging Diagnosis: Unmasking the Enigma of Imaging Findings with Lung Schwannomas.Cancer management and research · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Artificial intelligence (AI) adopting deep learning technology has been widely used in the med-ical imaging domain in recent years. It realized the automatic judgment of benign and malig-nant solitary pulmonary nodules (SPNs) and even replaced the work of doctors to some extent. However, misdiagnoses can occur in certain cases. Only by determining the causes can AI play a larger role. A total of 21 Coronavirus disease 2019 (COVID-19) patients were diagnosed with SPN by CT imaging. Their Clinical data, including general condition, imaging features, AI re-ports, and outcomes were included in this retrospective study. Although they were confirmed COVID-19 by testing reverse transcription-polymerase chain reaction (RT-PCR) with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), their CT imaging data were misjudged by AI to be high-risk nodules for lung cancer. Imaging characteristics included burr sign (76.2%), lobulated sign (61.9%), pleural indentation (42.9%), smooth edges (23.8%), and cavity (14.3%). The accuracy of AI was different from that of radiologists in judging the nature of be-nign SPNs (p < 0.001, κ = 0.036 < 0.4, means the two diagnosis methods poor fit). COVID-19 patients with SPN might have been misdiagnosed using the AI system, suggesting that the AI system needs to be further optimized, especially in the event of a new disease outbreak.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.