CT-pathologic correlation in small peripheral lung cancers

Kuriyama, Kinya; Tateishi, Ryuhei; O, Doi; Kodama, Ken; Tatsuta, Masayuki; Matsuda, Minoru; Mitani, Toshifumi; Narumi, Y; Fujita, Michio

doi:10.2214/ajr.149.6.1139

Cited by 93 publications

(49 citation statements)

References 8 publications

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“…Approximately 50% of surgically resected benign masses show a benign pattern of calcification (19), although large bronchogenic carcinoma may show small, eccentrically distributed calcifications. Since calcifications are commonly seen in benign masses and since no other radiographic characteristic is specific in characterizing masses (9,11,15,16,20,25), it is important to detect and characterize calcifications within lesions. Using dual-energy subtraction digital tomosynthesis, the presence, distribution, and characteristics of calcifications in lung nodules can be assessed to an extent that is not possible with currently available CT imaging and projection-type dual-energy subtraction techniques.…”

Section: Discussionmentioning

confidence: 99%

Chest Imaging with Dual-Energy Subtraction Digital Tomosynthesis

Sone¹,

Kasuga²,

Sakai³

et al. 1993

Acta Radiol

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Section: Discussionmentioning

confidence: 99%

Chest Imaging with Dual-Energy Subtraction Digital Tomosynthesis

Sone¹,

Kasuga²,

Sakai³

et al. 1993

Acta Radiol

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“…In order to quantify the relationship between the nodule and its surrounding structure such as vessel and pleura, we focus on two indicators of malignancy, which are denoted as vascular convergence and pleural retraction [1], [2]. In the 3-D thoracic CT images, these findings are observed so that the vessel and pleura images are drawn in the nodule.…”

Section: Gradient Vector Fieldmentioning

confidence: 99%

“…It is often the case that the differential diagnosis by means of transbronchial or percutaneous biopsies becomes difficult due to the nodule size. There has been a considerable amount of interest in the use of thin-section CT images to observe small pulmonary nodules for differential diagnosis without invasive operation [1], [2]. A number of investigators have developed feature extraction and classification methods for characterization of pulmonary nodules.…”

Section: Introductionmentioning

confidence: 99%

“…One promising area of recent researches has been the analysis of three-dimensional (3-D) pulmonary nodule images. In assessing the malignant potential of pulmonary nodules, characterizing the relationships between nodules and their surrounding structures such as vessel, bronchi, and pleura is an important step [1], [2]. In order to analyze the relationships several researches concentrate on evaluating the angle between the nodule and line patterns such as vessel and brachia.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Differential Geometry Based Vector Fields for Characterizing Surrounding Structures of Pulmonary Nodules

Kawata

Niki

Ohmatsu

et al. 2000

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2000

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Abstract. This paper presents a scheme to analyze surrounding structures of pulmonary nodules by using differential geometry based vector fields. In this scheme the differential characteristics such as the principal curvatures and directions are computed from the differential values of the isointensity surfaces. Each voxel in the nodule surrounding is described in terms of shape index and curvedness derived from the principal curvatures. Two vector fields are formed from the directions of the maximum principal curvatures of nodule surrounding and gradient vectors of nodule surface, respectively. The gradient vector field is computed by diffusing the gradient vector on the nodule surface. The regions corresponding to the cylindrical or conic figures which are similar to vessel and plural images are segmented by the shape index and curvedness values. Then, the relationship between the segmented regions and the nodule is evaluated by the inner product of the direction of the maximum principal curvature and the gradient vector. We demonstrate the feasibility of the scheme to classify benign and malignant nodules.

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“…Independent reporting can increase radiologic-pathologic discordance, defined as a discrepancy between imaging interpretation and histologic findings (1). Radiologic-pathologic correlation has been studied in various imaging specialties to gauge interpretive performance and accuracy, and to identify radiographic features corresponding to histologic findings (2)(3)(4)(5)(6)(7). However, few studies have attempted to assess the utility of integrated radiologic-pathologic correlation for establishing imaginghistologic concordance or discordance as a method to prospectively identify missed carcinomas due to biopsy sampling error (8).…”

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confidence: 99%

Imaging–Histologic Discordance at Percutaneous Biopsy of the Lung

Arnold

Vangala

et al. 2015

Academic Radiology

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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.

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CT-pathologic correlation in small peripheral lung cancers

Cited by 93 publications

References 8 publications

Chest Imaging with Dual-Energy Subtraction Digital Tomosynthesis

Chest Imaging with Dual-Energy Subtraction Digital Tomosynthesis

Differential Geometry Based Vector Fields for Characterizing Surrounding Structures of Pulmonary Nodules

Imaging–Histologic Discordance at Percutaneous Biopsy of the Lung

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