Notification



Notification Issue Date:



Medical Policy Bulletin


Title:Computer-Aided Detection (CAD) System for Use with Chest Radiographs

Policy #:09.00.42c

This policy is applicable to the Company’s commercial products only. Policies that are applicable to the Company’s Medicare Advantage products are accessible via a separate Medicare Advantage policy database.


The Company makes decisions on coverage based on Policy Bulletins, benefit plan documents, and the member’s medical history and condition. Benefits may vary based on contract, and individual member benefits must be verified. The Company determines medical necessity only if the benefit exists and no contract exclusions are applicable.

When services can be administered in various settings, the Company reserves the right to reimburse only those services that are furnished in the most appropriate and cost-effective setting that is appropriate to the member’s medical needs and condition. This decision is based on the member’s current medical condition and any required monitoring or additional services that may coincide with the delivery of this service.

This Medical Policy Bulletin document describes the status of medical technology at the time the document was developed. Since that time, new technology may have emerged or new medical literature may have been published. This Medical Policy Bulletin will be reviewed regularly and be updated as scientific and medical literature becomes available. For more information on how Medical Policy Bulletins are developed, go to the About This Site section of this Medical Policy Web site.



Policy

Coverage is subject to the terms, conditions, and limitations of the member's contract.

The use of computer-aided detection (CAD) systems with chest radiographs is considered experimental/investigational and, therefore, not covered because the safety and/or effectiveness of this service cannot be established by review of the available published literature.
Guidelines

BENEFIT APPLICATION

Subject to the terms and conditions of the applicable benefit contract, devices that are experimental/investigational are contract exclusions for all products of the Company.

US FOOD AND DRUG ADMINISTRATION (FDA) STATUS

The RapidScreen™ RS-2000 (Deus Technologies, Rockville, MD) received premarket approval (PMA) on July 12, 2001, from the FDA for use as a computer-aided detection (CAD) system.

Description

A computer-aided detection (CAD) system is used as an adjunctive tool in assessing chest radiographs. The basic function of CAD is to provide radiologists with a computer algorithm that assists with interpreting radiological images. CAD is thought to improve the accuracy and consistency of radiological diagnosis by reducing the time it takes to interpret images.

The RapidScreen™ RS-2000 (Deus Technologies, Rockville, MD) is a CAD system that identifies and marks regions of interest on digitized frontal chest radiographs. It is believed to identify features associated with solitary pulmonary nodules from 9 mm to 30 mm in size, which could represent early-stage lung cancer. The device is intended for use as an aid only after a physician has performed a preliminary interpretation of the radiograph.

The published literature regarding CAD for chest X-rays consists primarily of the technical capabilities of CAD systems. High-quality, randomized trials examining the effect of CAD systems for chest X-rays on lung cancer morbidity and mortality are necessary to determine the true impact of this technology on health outcomes. There is a paucity of literature that supports the efficacy of this modality at this time.
References


Abe H, Macmahon H, Shiraishi J, et al. Computer-aided diagnosis in chest radiology. Semin Ultrasound CT MR. 2004;25(5):432-437.

Coppini G, Diciotti S, Falchini M, Neural networks for computer-aided diagnosis: Detection of lung nodules in chest radiograms. IEEE Trans Inf Technol Biomed. 2003;7(4):344-357.

Croswell JM, Baker SG, Marcus PM, et al. Cumulative incidence of false-positive test results in lung cancer screening. Ann Intern Med. 2010;152(8):505-12.

De Boo DW, Prokop M, Uffmann M, et al. Computer-aided detection (CAD) of lung nodules and small tumours on chest radiographs. Eur J Radiol. 2009;72(2):218-225.

de Hoop B, De Boo DW, Gietema HA et al. Computer-aided detection of lung cancer on chest radiographs: effect on observer performance. Radiology. 2010;257(2):532-40.

Doi K. Current status and future potential of computer-aided diagnosis in medical imaging. Br J Radiol. 2005;78 Spec No 1:S3-S19.

Freedman M. Improved small volume lung cancer detection with computer-aided detection: Database characteristics and imaging of response to breast cancer risk reduction strategies. Ann N Y Acad Sci. 2004;1020:175-189.

Freedman M. State-of-the-art screening for lung cancer (part1): the chest radiograph. Thorac Surg Clin. 2004;14(1):43-52.

Hocking WG, Oken MM, Winslow SD, et al. Lung cancer screening in the randomized prostate, lung, colorectal and ovarian (PLCO) cancer screening trial. J Natl Cancer Inst. 2010;102(10):722-31.

Infante M, Lutman FR, Cavuto S, et al. Lung cancer screening with spiral CT: baseline results of the randomized DANTE trial. Lung Cancer. 2008;59(3):355-63.

Infante M, Cavuto S, Lutman FR, et al. A randomized study of lung cancer screening with spiral computed tomography: three-year results from the DANTE Trial. Am J Respir Crit Care Med. 2009;180(5):445-53.

Kakeda S, Moriya J, Sato H, et al. Improved detection of lung nodules on chest radiographs using a commercial computer-aided diagnosis system. AJR Am J Roentgenol. 2004;182(2):505-510.

Li F, Engelmann R, Metz CE, et al. Lung cancers missed on chest radiographs: Results obtained with a commercial computer-aided detection program. Radiology. 2008;246(1):273-280.

Mazzone PJ, Obuchowski N, Phillips M et al. Lung cancer screening with computer aided detection chest radiography: design and results of a randomized, controlled trial. PLoS One. 2013;8(3):e59650.

Mohammed TH, Chowdhry A, Reddy GP, etal; Expert Panel on Thoracic Imaging. ACR Appropriateness Criteria® screening for pulmonary metastases. [online publication]. Reston, VA: American College of Radiology (ACR); 2010.

Qin J, Bai H, Liu C, et al. Application of computer-aided diagnosis in early detection of pulmonary nodules based on digital chest radiograph. Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2014;31(5):1117-1120.

Shi Z, Ma J, Feng Y, et al. Evaluation of MTANNs for eliminating false-positive with different computer aided pulmonary nodules detection software. Pak J Pharm Sci. 2015;28(6 Suppl):2311-2316.

Shiraishi J, Abe H, Engelmann R, Doi K. Effect of high sensitivity in a computerized scheme for detecting extremely subtle solitary pulmonary nodules in chest radiographs: Observer performance study. Acad Radiol. 2003;10(11):1302-1311.

Shiraishi J, Li F, Doi K. et al. Computer-aided diagnosis for improved detection of lung nodules by use of posterior-anterior and lateral chest radiographs. Acad Radiol. 2007;14(1):28-37.

Suzuki K, Shiraishi J, Abe H, et al. False-positive reduction in computer-aided diagnostic scheme for detecting nodules in chest radiographs by means of massive training artificial neural network. Acad Radiol. 2005;12(2):191-201.

US Food and Drug Administration (FDA). Center for Devices and Radiological Health. Premarket approval letter. RapidScreen™ RS-2000. [FDA Web site]. 07/12/01. Available at: http://www.accessdata.fda.gov/cdrh_docs/pdf/p000041a.pdf. Accessed December 5, 2017.

Van Iersel CA, de Koning HJ, Draisma G, et al. Risk-based selection from the general population in a screening trial: selection criteria, recruitment and power for the Dutch-Belgian randomized lung cancer multi-slice CT screening trial (NELSON). Int J Cancer. 2007;120(4):868-74.

Van Klaveren RJ, Oudkerk M, Prokop M, et al. Management of lung nodules detected by volume CT screening. N Engl J Med. 2009;361(23):2221-9.

Way T, Chan HP, Hadjiiski L, et al. Computer-aided diagnosis of lung nodules on CT scans: ROC study of its effect on radiologists' performance. Acad Radiol. 2010;17(3):323-332.

White CS, Flukinger T, Jeudy J et al. Use of a computer-aided detection system to detect missed lung cancer at chest radiography. Radiology. 2009;252(1):273-81.

Yamada Y, Shiomi E. Hashimoto M, et al. Value of computer-aided detection system based on chest tomosynthesis imaging for the detection for pulmonary nodules. Radiology. 2018;287(1): 333-339.

Yanagawa M, Honda O, Yoshida S, Ono Y, Inoue A, Daimon T, et al. Commercially available computer-aided detection system for pulmonary nodules on thin-section images using 64 detectors-row CT: Preliminary study of 48 cases. Acad Radiol. 2009;16:924–33.





Coding

Inclusion of a code in this table does not imply reimbursement. Eligibility, benefits, limitations, exclusions, precertification/referral requirements, provider contracts, and Company policies apply.

The codes listed below are updated on a regular basis, in accordance with nationally accepted coding guidelines. Therefore, this policy applies to any and all future applicable coding changes, revisions, or updates.

In order to ensure optimal reimbursement, all health care services, devices, and pharmaceuticals should be reported using the billing codes and modifiers that most accurately represent the services rendered, unless otherwise directed by the Company.

The Coding Table lists any CPT, ICD-9, ICD-10, and HCPCS billing codes related only to the specific policy in which they appear.

CPT Procedure Code Number(s)

0174T, 0175T


Professional and outpatient claims with a date of service on or before September 30, 2015, must be billed using ICD-9 codes. Professional and outpatient claims with a date of service on or after October 1, 2015, must be billed using ICD-10 codes.

Facility/Institutional inpatient claims with a date of discharge on or before September 30, 2015, must be billed with ICD-9 codes. Facility/Institutional inpatient claims with a date of discharge on or after October 1, 2015, must be billed with ICD-10 codes.


ICD - 10 Procedure Code Number(s)

N/A


Professional and outpatient claims with a date of service on or before September 30, 2015, must be billed using ICD-9 codes. Professional and outpatient claims with a date of service on or after October 1, 2015, must be billed using ICD-10 codes.

Facility/Institutional inpatient claims with a date of discharge on or before September 30, 2015, must be billed with ICD-9 codes. Facility/Institutional inpatient claims with a date of discharge on or after October 1, 2015, must be billed with ICD-10 codes.


ICD -10 Diagnosis Code Number(s)

N/A


HCPCS Level II Code Number(s)

N/A


Revenue Code Number(s)

N/A

Coding and Billing Requirements



Policy History

09.00.42c:
12/19/2018The policy has been reviewed and reissued to communicate the Company’s continuing position on Computer-Aided Detection (CAD) System for use with Chest Radiographs.
12/20/2017The policy has been reviewed and reissued to communicate the Company’s continuing position on Computer-Aided Detection (CAD) System for use with Chest Radiographs.


Effective 10/05/2017 this policy has been updated to the new policy template format.


Version Effective Date: 03/11/2015
Version Issued Date: 03/11/2015
Version Reissued Date: 12/19/2018

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