Literature DB >> 28188426

Non-specific benign pathological results on transthoracic core-needle biopsy: how to differentiate false-negatives?

Jung Im Kim1,2, Chang Min Park3,4, Hyungjin Kim1, Jong Hyuk Lee1, Jin Mo Goo1,5.   

Abstract

OBJECTIVES: To determine the negative predictive value (NPV) of non-specific benign results from cone-beam CT (CBCT)-guided transthoracic core-needle biopsy (TTNB) and identify predicting factors for false-negative for malignancies.
METHODS: From January 2009-December 2011, 1,108 consecutive patients with 1,116 lung lesions underwent CBCT-guided TTNB using an 18-gauge coaxial cutting needle. Among them, 226 patients with 226 TTNBs, initially diagnosed as non-specific benign, were included in this study. The medical charts, radiological or pathological follow-ups were reviewed to classify false-negative and true-negative results and to identify which variables were associated with false-negatives.
RESULTS: Of 226 lesions, 24 (10.6%) were finally confirmed as malignancies and 202 (89.4%) as benign, of which the NPV was 89.4% (202/226). Multivariate analysis revealed that part-solid nodule (PSN) (odds ratio (OR), 3.95; P = 0.022), a biopsy result of 'granulomatous inflammation' (OR, 0.04; P = 0.022), and exact location of needle tip within targets (OR, 0.37; P = 0.045) were significantly associated with false-negatives among initial non-specific benign biopsy results.
CONCLUSION: The NPV of the non-specific benign biopsy was 89.4%. PSN was a significant positive indicator, but a biopsy result of 'granulomatous inflammation' and exact location of needle tip within targets were significant negative indicators for false-negatives. KEY POINTS: • The negative predictive value of the non-specific benign biopsy was 89.4%. • A part-solid nodule is a significant predictor for false-negative biopsy (OR = 3.95). • Pathological diagnosis of granulomatous inflammation is a robust indicator for 'true-negatives'. • Identifying needle tip within target lesions is a significant predictor for 'true-negatives'.

Entities:  

Keywords:  Biopsy; Granuloma; Large-core needle; Lung; Negative predictive value

Mesh:

Year:  2017        PMID: 28188426     DOI: 10.1007/s00330-017-4766-3

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  28 in total

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Review 3.  Inflammatory and neoplastic processes of the lung: differential diagnosis and pitfalls in FNA biopsies.

Authors:  J F Silverman
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4.  Core needle biopsy in benign lung lesions: pathologic findings in 159 cases.

Authors:  Erika E Doxtader; Sanjay Mukhopadhyay; Anna-Luise A Katzenstein
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5.  C-arm cone-beam computed tomography needle path overlay for percutaneous biopsy of pulmonary nodules.

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6.  Granulomatous inflammation-an underestimated cause of false-positive diagnoses in lung fine-needle aspirates: observations from the college of american pathologists nongynecologic cytopathology interlaboratory comparison program.

Authors:  Manon Auger; Ann T Moriarty; Rodolfo Laucirica; Rhona Souers; Beth Anne Chmara; Lisa A Fatheree; David C Wilbur
Journal:  Arch Pathol Lab Med       Date:  2010-12       Impact factor: 5.534

7.  Percutaneous core needle biopsy vs. fine needle aspiration in diagnosing benign lung lesions.

Authors:  J Greif; S Marmor; Y Schwarz; A N Staroselsky
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8.  CT fluoroscopy-guided biopsy of 1,000 pulmonary lesions performed with 20-gauge coaxial cutting needles: diagnostic yield and risk factors for diagnostic failure.

Authors:  Takao Hiraki; Hidefumi Mimura; Hideo Gobara; Toshihiro Iguchi; Hiroyasu Fujiwara; Jun Sakurai; Yusuke Matsui; Daisaku Inoue; Shinichi Toyooka; Yoshifumi Sano; Susumu Kanazawa
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9.  Factors influencing accuracy of CT-guided percutaneous biopsies of pulmonary lesions.

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Journal:  Eur Radiol       Date:  2004-02-13       Impact factor: 5.315

Review 10.  Pulmonary granulomatous inflammation: From sarcoidosis to tuberculosis.

Authors:  Rafael L Perez; Carlos A Rivera-Marrero; Jesse Roman
Journal:  Semin Respir Infect       Date:  2003-03
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  16 in total

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Journal:  Eur Radiol       Date:  2017-08-07       Impact factor: 5.315

2.  Accuracy and complications of percutaneous transthoracic needle lung biopsy for the diagnosis of malignancy in patients with idiopathic pulmonary fibrosis.

Authors:  Yoon Joo Shin; Gabin Yun; Sung Hyun Yoon; Hwayoung Song; Junghoon Kim; Jihang Kim; Jong Sun Park; Kyoung Won Lee; Kyung Hee Lee
Journal:  Eur Radiol       Date:  2021-05-18       Impact factor: 5.315

3.  Computed tomography-guided core needle biopsy for sub-centimeter pulmonary nodules.

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4.  Outcome of untreated lung nodules with histological but no microbiological evidence of tuberculosis.

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5.  Diagnostic Performance of Core Needle Biopsy and Fine Needle Aspiration Separately or Together in the Diagnosis of Intrathoracic Lesions Under C-arm Guidance.

Authors:  Youkyung Lee; Choong-Ki Park; Young-Ha Oh
Journal:  J Belg Soc Radiol       Date:  2018-12-12       Impact factor: 1.894

6.  Learning Curve of C-Arm Cone-beam Computed Tomography Virtual Navigation-Guided Percutaneous Transthoracic Needle Biopsy.

Authors:  Su Yeon Ahn; Chang Min Park; Soon Ho Yoon; Hyungjin Kim; Jin Mo Goo
Journal:  Korean J Radiol       Date:  2019-05       Impact factor: 3.500

7.  Non-diagnostic Results of Percutaneous Transthoracic Needle Biopsy: A Meta-analysis.

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8.  Diagnostic Accuracy of Percutaneous Transthoracic Needle Lung Biopsies: A Multicenter Study.

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Review 9.  2020 Clinical Practice Guideline for Percutaneous Transthoracic Needle Biopsy of Pulmonary Lesions: A Consensus Statement and Recommendations of the Korean Society of Thoracic Radiology.

Authors:  Soon Ho Yoon; Sang Min Lee; Chul Hwan Park; Jong Hyuk Lee; Hyungjin Kim; Kum Ju Chae; Kwang Nam Jin; Kyung Hee Lee; Jung Im Kim; Jung Hee Hong; Eui Jin Hwang; Heekyung Kim; Young Joo Suh; Samina Park; Young Sik Park; Dong Wan Kim; Miyoung Choi; Chang Min Park
Journal:  Korean J Radiol       Date:  2020-11-19       Impact factor: 3.500

10.  Utility of liquid-based cytology on residual needle rinses collected from core needle biopsy for lung nodule diagnosis.

Authors:  Zhihua Lan; Xiaoli Zhang; Xin Ma; Yiyan Hu; Jing Zhang; Fang Yang
Journal:  Cancer Med       Date:  2021-05-07       Impact factor: 4.452

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