Rationale and Objectives
The purpose of this study was to quantify the degree of imaging–histologic discordance
in a cohort of patients undergoing computed tomography (CT)–guided lung biopsy for
focal lung disease.
Materials and Methods
A retrospective review was performed of 186 patients who underwent percutaneous lung
biopsy of a parenchymal lesion at our institution between January and December 2009.
Diagnostic radiology reports of CT or positron emission tomography–CTs performed before
biopsy were used to classify the lesion as malignant or benign by five readers. Pathology
reports of the biopsied lesions were classified by three readers. Inter-reader agreement
and imaging–histologic concordance were quantified using kappa statistics. Discordant
benign cases were then revisited to determine downstream effects.
Results
Inter-reader agreement on report content was substantial or almost perfect with kappas
>0.783. Kappas for concordance were as follows: malignant (0.448), primary lung cancer
(0.517), metastatic disease to lung (0.449), benign (0.510), and overall agreement
(0.381). Of the twelve discordant benign cases that were revisited, four were found
to be false negatives, resulting in a delay in diagnosis.
Conclusions
Our study of imaging–histologic discordance in percutaneous biopsy of lung lesions
supports the need for imaging report standardization and improved integration and
communication between the fields of radiology and pathology.
Key Words
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References
- Integrating pathology and radiology disciplines: an emerging opportunity?.BMC Med. 2012; 10: 100
- Radiologic–pathologic correlation of renal cell carcinoma associated with Xp11. 2 translocation.Acta Radiol. 2013; 54: 827-834
- CT-pathologic correlation in small peripheral lung cancers.AJR Am J Roentgenol. 1987; 149: 1139-1143
- Chondrosarcoma: MR imaging with pathologic correlation.Radiographics. 1992; 12: 687-704
- Hepatocellular carcinoma in cirrhotic livers: double-contrast thin-section MR imaging with pathologic correlation of explanted tissue.AJR Am J Roentgenol. 2003; 180: 577-584
- CT findings in benign fibrous mesothelioma of the pleura: pathologic correlation in nine patients.AJR Am J Roentgenol. 1992; 158: 983-986
- benign hepatic nodules in Budd–Chiari syndrome: radiologic–pathologic correlation with emphasis on the central scar.AJR Am J Roentgenol. 2002; 178: 869-875
- Atypical lobular hyperplasia and lobular carcinoma in situ at core breast biopsy: use of careful radiologic–pathologic correlation to recommend excision or observation.Radiology. 2013; 269: 340-347
- Image-guided tissue sampling: where radiology meets pathology.Breast J. 2005; 11: 403-409
- Imaging–histologic discordance at percutaneous breast biopsy.Cancer. 2000; 89: 2538-2546
- Imaging–histologic discordance at MRI-guided 9-gauge vacuum-assisted breast biopsy.AJR Am J Roentgenol. 2007; 189: 852-859
- Analysis of cancers not diagnosed at stereotactic core breast biopsy.Radiology. 1997; 203: 151-157
- The accuracy of ultrasound, stereotactic, and clinical core biopsies in the diagnosis of breast cancer, with an analysis of false-negative cases.Ann Surg. 2005; 242: 701
- Missed breast cancers at US-guided core needle biopsy: how to reduce them.Radiographics. 2007; 27: 79-94
- Information content and clarity of radiologists' reports for chest radiography.Acad Radiol. 1996; 3: 709-717
- Pitfalls of the vague radiology report.AJR Am J Roentgenol. 2000; 174: 1511-1518
(2010) The Importance of Radiology and Pathology Communication in the Diagnosis and Staging of Cancer: Mammography as a Case Study.
- R: a language and environment for statistical computing.R Foundation for Statistical Computing, Vienna, Austria2008
- Measurement of observer agreement.Radiology. 2003; 228: 303-308
- Radiology's value chain.Radiology. 2012; 263: 243-252
- Quality—a radiology imperative: interpretation accuracy and pertinence.J Am Coll Radiol. 2007; 4: 162-165
- Radiological–pathological correlation in diagnosing breast carcinoma: the role of pathology in the multimodality era.Pathol Oncol Res. 2008; 14: 173-178
- Is terminology used effectively to convey diagnostic certainty in radiology reports?.Acad Radiol. 2003; 10: 685-688
Article info
Publication history
Published online: January 16, 2015
Accepted:
November 25,
2014
Received:
June 12,
2014
Identification
Copyright
Published by Elsevier Inc.