Literature DB >> 33025803

Ultrasound-Guided Percutaneous Needle Biopsy for Small Pleural Lesions: Diagnostic Yield and Impact of CT and Ultrasound Characteristics.

Jongmin Park1, Byunggeon Park1, Jae-Kwang Lim1, Kyung Min Shin1, Jaehee Lee2, Chang Ho Kim2, Hyewon Seo2, Yong Hoon Lee2, Jun Heo2, Young Woo Do3.   

Abstract

BACKGROUND. Ultrasound (US)-guided percutaneous pleural needle biopsy (PCPNB) is widely used to evaluate pleural lesions, although its diagnostic accuracy is variable. OBJECTIVE. The purpose of this study is to assess the diagnostic yield of US-guided PCPNB for small (≤ 2 cm) pleural lesions and the impact of CT and US morphologic and technical factors. METHODS. A total of 103 patients (73 men and 30 women; mean [± SD] age, 68.0 ± 13.3 years) who underwent US-guided PCPNB of a small pleural lesion performed by a single experienced operator from July 2013 to December 2019 were retrospectively analyzed. Final diagnosis was established via histopathologic results, including findings from repeat US-guided and CT-guided biopsies as well as imaging and clinical follow-up. Pleural morphology and thickness were assessed on CT and US, and needle pathway length throughout the pleura was measured on US. Accuracy, sensitivity, specificity, PPV, and NPV were calculated. The association of diagnostic yield with imaging and technical factors was evaluated. ROC curve analysis was used to determine the optimal CT pleural thickness cutoff value. Multivariable logistic regression was performed to identify independent predictors of diagnostic yield. RESULTS. The diagnostic accuracy, sensitivity, specificity, PPV, and NPV of US-guided PCPNB were 85.4%, 84.8%, 100.0%, 100.0%, and 21.1%, respectively. Diagnostic, compared with nondiagnostic, procedures more commonly (p ≤ .002) revealed nodular morphology on CT (96.4% vs 3.6%) and US (97.3% vs 2.7%,), greater pleural thickness on CT (7.5 vs 3.2 mm) and US (7.4 vs 3.0 mm), and a greater needle pathway length (11.0 vs 6.1 mm). The optimal cutoff value for pleural thickness on CT was 4.5 mm. Diagnostic yield was 96.4% for nodular lesions, 95.0% for diffuse lesions that had a thickness of 4.5 mm or greater on CT, 55.6% for diffuse lesions that had a thickness less than 4.5 mm on CT, and 100% for diffuse lesions on CT that had nodular morphology on US. Nodular morphology on US (p = .002) and needle pathway length (p = .04) were independent predictors of diagnostic yield. CONCLUSION. US-guided PCPNB has excellent diagnostic accuracy for small pleural lesions; imaging characteristics influence this accuracy. CLINICAL IMPACT. US-guided PCPNB is highly likely diagnostic for small pleural lesions with nodular morphology on either CT or US or with a pleural thickness of 4.5 mm or greater.

Entities:  

Keywords:  CT pleural morphology; percutaneous needle biopsy; ultrasound-guided pleural biopsy

Year:  2021        PMID: 33025803     DOI: 10.2214/AJR.20.24120

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  4 in total

Review 1.  Lung, Pleural, and Mediastinal Biopsies: From Preprocedural Assessment to Technique and Management of Complications.

Authors:  Natasha Larocque; Olga R Brook
Journal:  Semin Intervent Radiol       Date:  2022-08-31       Impact factor: 1.780

2.  Marked safety and high diagnostic yield of freehand ultrasound-guided core-needle biopsies performed by pulmonologists.

Authors:  Evgeni Gershman; Ilya Vaynshteyn; Lev Freidkin; Barak Pertzov; Dror Rosengarten; Mordechai Reuven Kramer
Journal:  Thorac Cancer       Date:  2022-04-26       Impact factor: 3.223

3.  Analysis on the Effects of CT- and Ultrasound-Guided Percutaneous Transthoracic Needle Biopsy Combined with Serum CA125 and CEA on the Diagnosis of Lung Cancer.

Authors:  Zhaoyin Wang; Jinbiao Huang; Minke Wang; Weixu Bi; Tianbing Fan
Journal:  J Healthc Eng       Date:  2022-01-07       Impact factor: 2.682

4.  Diagnostic ability and its influenced factors of ultrasound-guided percutaneous pleural needle biopsy diagnosis for malignant pleural mesothelioma.

Authors:  Yuxin Zhang; Jiaxin Tang; Xinghua Zhou; Wuxi Chen; Shiyu Zhang; Yuqin Li; Dazhi Zhou; Liantu He; Qing Tang
Journal:  Front Surg       Date:  2022-09-26
  4 in total

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