Radiologic Identification of Pathologic Tumor Invasion in Patients With Lung Adenocarcinoma

Author:

Ye Ting123,Wu Haoxuan123,Wang Shengping34,Li Qiao34,Gu Yajia34,Ma Junjie5,Lin Jihong6,Kang Mingqiang6,Qian Bin7,Hu Hong123,Zhang Yang123,Sun Yihua123,Zhang Yawei123,Xiang Jiaqing123,Li Yuan38,Shen Xuxia38,Wang Zezhou39,Chen Haiquan123

Affiliation:

1. Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China

2. Institute of Thoracic Oncology, Fudan University, Shanghai, China

3. Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China

4. Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China

5. Department of Thoracic Surgery, The Second Hospital of Liaocheng Affiliated to Shandong First Medical University, Linqing, Shandong Province, China

6. Department of Thoracic Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, China

7. Department of Thoracic Surgery, Jiangdu People’s Hospital of Yangzhou, Yangzhou, Jiangsu Province, China

8. Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China

9. Department of Cancer Prevention, Fudan University Shanghai Cancer Center, Shanghai, China

Abstract

ImportanceIt is currently unclear whether high-resolution computed tomography can preoperatively identify pathologic tumor invasion for ground-glass opacity lung adenocarcinoma.ObjectivesTo evaluate the diagnostic value of high-resolution computed tomography for identifying pathologic tumor invasion for ground-glass opacity featured lung tumors.Design, Setting, and ParticipantsThis prospective, multicenter diagnostic study enrolled patients with suspicious malignant ground-glass opacity nodules less than or equal to 30 mm from November 2019 to July 2021. Thoracic high-resolution computed tomography was performed, and pathologic tumor invasion (invasive adenocarcinoma vs adenocarcinoma in situ or minimally invasive adenocarcinoma) was estimated before surgery. Pathologic nonadenocarcinoma, benign diseases, or those without surgery were excluded from analyses; 673 patients were recruited, and 620 patients were included in the analysis. Statistical analysis was performed from October 2021 to January 2022.ExposurePatients were grouped according to pathologic tumor invasion.Main Outcomes and MeasuresPrimary end point was diagnostic yield for pathologic tumor invasion. Secondary end point was diagnostic value of radiologic parameters.ResultsAmong 620 patients (442 [71.3%] female; mean [SD] age, 53.5 [12.0] years) with 622 nodules, 287 (46.1%) pure ground-glass opacity nodules and 335 (53.9%) part-solid nodules were analyzed. The median (range) size of nodules was 12.1 (3.8-30.0) mm; 47 adenocarcinomas in situ, 342 minimally invasive adenocarcinomas, and 233 invasive adenocarcinomas were confirmed. Overall, diagnostic accuracy was 83.0% (516 of 622; 95% CI, 79.8%-85.8%), diagnostic sensitivity was 82.4% (192 of 233; 95% CI, 76.9%-87.1%), and diagnostic specificity was 83.3% (324 of 389; 95% CI, 79.2%-86.9%). For tumors less than or equal to 10 mm, 3.6% (8 of 224) were diagnosed as invasive adenocarcinomas. The diagnostic accuracy was 96.0% (215 of 224; 95% CI, 92.5%-98.1%), diagnostic specificity was 97.2% (210 of 216; 95% CI, 94.1%-99.0%); for tumors greater than 20 mm, 6.9% (6 of 87) were diagnosed as adenocarcinomas in situ or minimally invasive adenocarcinomas. The diagnostic accuracy was 93.1% (81 of 87; 95% CI, 85.6%-97.4%) and diagnostic sensitivity was 97.5% (79 of 81; 95% CI, 91.4%-99.7%). For tumors between 10 to 20 mm, the diagnostic accuracy was 70.7% (220 of 311; 95% CI, 65.3%-75.7%), diagnostic sensitivity was 75.0% (108 of 144; 95% CI, 67.1%-81.8%), and diagnostic specificity was 67.1% (112 of 167; 95% CI, 59.4%-74.1%). Tumor size (odds ratio, 1.28; 95% CI, 1.18-1.39) and solid component size (odds ratio, 1.31; 95% CI, 1.22-1.42) could each independently serve as identifiers of pathologic invasive adenocarcinoma. When the cutoff value of solid component size was 6 mm, the diagnostic sensitivity was 84.6% (95% CI, 78.8%-89.4%) and specificity was 82.9% (95% CI, 75.6%-88.7%).Conclusions and relevanceIn this diagnostic study, radiologic analysis showed good performance in identifying pathologic tumor invasion for ground-glass opacity–featured lung adenocarcinoma, especially for tumors less than or equal to 10 mm and greater than 20 mm; these results suggest that a solid component size of 6 mm could be clinically applied to distinguish pathologic tumor invasion.

Publisher

American Medical Association (AMA)

Subject

General Medicine

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