ArticleQuantitative imaging in medicine and surgery2026
Improving the preoperative diagnosis of invasive lung adenocarcinoma by combining multiplanar volume rendering (MPVR)-based solid component measurement with pathological analysis.
Article in Quantitative imaging in medicine and surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: The early diagnosis of lung adenocarcinoma (LUAD) remains challenging. Multiplanar volume rendering (MPVR) has demonstrated good diagnostic performance; however, misclassification can still occur. This study investigated the pathological basis of MPVR misclassification and developed a model to improve the preoperative diagnosis of invasive adenocarcinoma (IAC). Methods: A total of 799 patients with LUAD were retrospectively included in the study. Based on computed tomography (CT) appearance (part-solid nodule Results: Compared with the patients in the false-positive group, those in the true-positive group were older (58.0 Conclusions: MPVR-measured solid components provide valuable information for distinguishing IAC from adenocarcinoma in situ and MIA. Integrating clinical characteristics and CT imaging features further improves the preoperative diagnosis of IAC and may facilitate individualized clinical decision-making.
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