Evidence map›Paper›PMID 41158387›Full record

ArticleJournal of thoracic disease2025

Diagnostic accuracy of computer-aided detection (CAD)-derived solid component proportion and mean CT attenuation for predicting invasiveness in pulmonary part-solid nodules: a retrospective study.

Xiaodong Wang, Jing Xue, Guizhou Gao, Lin Qu, Haihua Zhang, Ramsy Abdelghani, Tao Zhang

Abstract read
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Article in Journal of thoracic disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Xiaodong Wang *Department of Thoracic Surgery, Tangdu Hospital, Fourth Military Medical University, Xi'an, China.ORCID https://orcid.org/0000-0002-8780-1083
Jing Xue *Department of Out-patient, Xijing 986 Hospital, The Fourth Military Medical University, Xi'an, China.
Guizhou GaoDepartment of Thoracic Surgery, Tangdu Hospital, Fourth Military Medical University, Xi'an, China.
Lin QuDepartment of Thoracic Surgery, Tangdu Hospital, Fourth Military Medical University, Xi'an, China.
Haihua ZhangDepartment of Thoracic Surgery, Tangdu Hospital, Fourth Military Medical University, Xi'an, China.
Ramsy AbdelghaniDivision of Pulmonary Diseases, Critical Care, and Environmental Medicine, Tulane University Medical Center, Tulane University School of Medicine, New Orleans, LA, USA.
Tao ZhangDepartment of Thoracic Surgery, Tangdu Hospital, Fourth Military Medical University, Xi'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Accurate preoperative identification of invasiveness in pulmonary part-solid nodules (PSNs) is critical to guide extent of resection and operative timing, yet reliable, automated imaging markers are limited. This study aimed to evaluate the predictive value of volumetric proportion and mean computed tomography (CT) value of solid components for the invasiveness of pulmonary PSNs using computer-aided detection (CAD). Methods: This retrospective study included 313 patients with 324 PSNs who underwent thin-section CT (TSCT) before surgery and had postoperative pathologic diagnoses of atypical adenomatous hyperplasia (AAH), adenocarcinoma Results: Among 313 patients (324 PSNs; median age 58 years), 4 AAH, 88 AIS, 69 MIA, and 163 IA were identified. The mean CT value of the solid component had an AUC of 0.795 (threshold -144.5 HU), with sensitivity 0.799, and specificity 0.696. Tumor size had an AUC of 0.784 (threshold 1.65 cm, sensitivity 0.595, specificity 0.826), and solid component size had an AUC of 0.759 (threshold 0.95 cm, sensitivity 0.804, specificity 0.509). Analysis of solid component proportion demonstrated AUCs of 0.795 and 0.783 at -300 and -400 HU, respectively, with corresponding optimal thresholds of 16.2% (sensitivity 0.706, specificity 0.814) and 31.3% (sensitivity 0.687, specificity 0.807). In the stratified analysis, the mean CT value and solid component proportion showed high AUCs in all tumor size strata. Conclusions: CAD-derived volumetric solid proportion and mean CT attenuation show promise for predicting PSN invasiveness in this single-center retrospective cohort; prospective multicenter validation with standardized protocols is warranted.

Indexed as

Computer-aided detection (CAD)part-solid nodule (PSN)solid componenttumor sizevolumetric analysis

Identifiers

PMID41158387
PMCPMC12557627

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