Subscribe to RSS
DOI: 10.1055/s-0029-1245463
© Georg Thieme Verlag KG Stuttgart · New York
Whole-Body MR Imaging versus Sequential Multimodal Diagnostic Algorithm for Staging Patients with Rectal Cancer: Cost Analysis
Ganzkörper-MR-Tomografie im Vergleich zu einem sequenziellen multimodalen diagnostischen Algorithmus für das Staging von Patienten mit einem Rektumkarzinom: KostenanalysePublication History
received: 5.4.2010
accepted: 22.4.2010
Publication Date:
01 June 2010 (online)
Zusammenfassung
Ziel: Vergleich der direkten Kosten von 2 diagnostischen Algorithmen für das prätherapeutische TNM-Staging des Rektumkarzinoms. Material und Methoden: In einer Studie mit 33 Patienten (mittleres Alter 62,5 Jahre) wurden direkte und variable Kosten eines sequenziellen multimodalen Algorithmus (Rektoskopie, endoskopischer und abdominaler Ultraschall, Thorax-Röntgen, CT bei Verdacht auf fokale Leberläsion oder Lungenrundherd) mit denen eines neuen Algorithmus aus Rektoskopie und MRT in einem Ganzkörperscanner verglichen. Die MRT beinhaltete T 2w-Sequenzen des Rektums, 3-D-T1w-Sequenzen der Leber und des Thorax nach Bolusinjektion von gadoxetic acid, und späte Phasen der Leber im organspezifischen Kontrast. Die Arbeitsprozesse, die verwendeten Materialien und die Arbeitszeit der involvierten Personalrollen wurden anhand von Interviews der Prozessverantwortlichen (Chirurg, Gastroenterologe, 2 Radiologen) dokumentiert. Die Personal- und Materialkosten wurden mittels Tarifverträgen und Daten aus dem Einkauf bestimmt. Die direkten Festkosten wurden anhand von Preisangaben der Hersteller berechnet. Ergebnisse: Die mittlere MR-Untersuchungszeit betrug 55 min. Die CT wurde bei 19 / 33 Patienten (57 %) durchgeführt und führte zu einer Verlängerung des stationären Aufenthalts um einen Tag (Kosten 374 €). Die Modalitäten- und Materialkosten lagen für die MRT höher (Modalitäten 116 versus 30 €, Material 159 versus 60 € pro Patient). Die Personalkosten lagen für die MRT deutlich niedriger (436 versus 732 € pro Patient). Insgesamt betrug der Kostenvorteil der MRT gegenüber dem sequenziellen Algorithmus 31,3 % (711 versus 1035 €). Schlussfolgerung: Im präoperativen TNM-Staging von Patienten mit einem Rektumkarzinom könnten durch die MRT deutliche Kostenvorteile erzielt werden.
Abstract
Purpose: To compare the direct costs of two diagnostic algorithms for pretherapeutic TNM staging of rectal cancer. Materials and Methods: In a study including 33 patients (mean age: 62.5 years), the direct fixed and variable costs of a sequential multimodal algorithm (rectoscopy, endoscopic and abdominal ultrasound, chest X-ray, thoracic/abdominal CT in the case of positive findings in abdominal ultrasound or chest X-ray) were compared to those of a novel algorithm of rectoscopy followed by MRI using a whole-body scanner. MRI included T 2w sequences of the rectum, 3D T 1w sequences of the liver and chest after bolus injection of gadoxetic acid, and delayed phases of the liver. The personnel work times, material items, and work processes were tracked to the nearest minute by interviewing those responsible for the process (surgeon, gastroenterologist, two radiologists). The costs of labor and materials were determined from personnel reimbursement data and hospital accounting records. Fixed costs were determined from vendor pricing. Results: The mean MRI time was 55 min. CT was performed in 19 / 33 patients (57 %) causing an additional day of hospitalization (costs 374 €). The costs for equipment and material were higher for MRI compared to sequential algorithm (equipment 116 vs. 30 €; material 159 vs. 60 € per patient). The personnel costs were markedly lower for MRI (436 vs. 732 € per patient). Altogether, the absolute cost advantage of MRI was 31.3 % (711 vs. 1035 € for sequential algorithm). Conclusion: Substantial savings are achievable with the use of whole-body MRI for the preoperative TNM staging of patients with rectal cancer.
Key words
MR imaging - CT spiral - colorectal carcinoma - cost-cost analysis (CCA) - gadoxetic acid - total mesorectal excision (TME)
References
- 1 Center M M, Jemal A, Smith R A et al. Worldwide variations in colorectal cancer. CA Cancer J Clin. 2009; 59 366-378
-
2 Cancer Research UK .UK cancer incidence statistics for common cancers. http://info.cancerresearchuk.org/cancerstats/incidence/commoncancers/ assessed March 30, 2010
- 3 Jemal A, Siegel R, Ward E et al. Cancer statistics, 2009. CA Cancer J Clin. 2009; 59 225-249
- 4 Lippert H, Gastinger I. Medical care of patients with rectal carcinoma in Germany. Dtsch Arztebl. 2006; 103 A 2704-A2709
- 5 Heald R J, Husband E M, Ryall R D. The mesorectum in rectal cancer surgery – the clue to pelvic recurrence?. Br J Surg. 1982; 69 613-616
- 6 Schmiegel W, Reinacher-Schick A et al. Update S 3-guideline ”colorectal cancer” 2008. Z Gastroenterol. 2008; 46 799-840
- 7 Beets-Tan R G, Beets G L, Vliegen R F et al. Accuracy of magnetic resonance imaging in prediction of tumor-free resection margin in rectal cancer surgery. Lancet. 2001; 357 497-504
- 8 Beetan R G, Beets G L. Rectal cancer: review with emphasis on MR imaging. Radiology. 2004; 232 335-46
- 9 Brown G, Radcliffe A G, Newcombe R G et al. Preoperative assessment of prognostic factors in rectal cancer using high-resolution magnetic resonance imaging. Br J Surg. 2003; 90 355-364
- 10 Heald R J, O’Neill B D, Moran B et al. MRI in predicting curative resection of rectal cancer: new dilemma in multidisciplinary team management. BMJ. 2006; 333 808
- 11 Bissett I P, Fernando C C, Hough D M et al. Identification of the fascia propria by magnetic resonance imaging and its relevance to preoperative assessment of rectal cancer. Dis Colon Rectum. 2001; 44 259-265
- 12 Iafrate F, Laghi A, Paolantonio P et al. Preoperative staging of rectal cancer with MR Imaging: correlation with surgical and histopathologic findings. Radiographics. 2006; 26 701-714
- 13 Klessen C, Rogalla P, Taupitz M. Local staging of rectal cancer: the current role of MRI. Eur Radiol. 2007; 17 379-389
- 14 Purkayastha S, Tekkis P P, Athanasiou T et al. Diagnostic precision of magnetic resonance imaging for preoperative prediction of the circumferential margin involvement in patients with rectal cancer. Colorectal Dis. 2007; 9 402-11
- 15 Huppertz A, Balzer T, Blakeborough A et al. Improved detection of focal liver lesions at MR imaging: Multicenter comparison of gadoxetic acid-enhanced MR images with intraoperative findings. Radiology. 2004; 230 266-275
- 16 Bluemke D A, Sahani D, Amendola M et al. Efficacy and safety of MR imaging with liver-specific contrast agent: U. S. multicenter phase III study. Radiology. 2005; 237 89-98
- 17 Frericks B B, Meyer B C, Martus P et al. MRI of the thorax during whole-body MRI: evaluation of different MR sequences and comparison to thoracic multidetector computed tomography (MDCT). J Magn Reson Imaging. 2008; 27 538-545
- 18 Tanimoto A, Lee J M, Murakami T et al. Consensus report of the 2nd International Forum for Liver MRI. Eur Radiol. 2009; Suppl 5 975-989
- 19 Schöffski O. Grundformen Gesundheitsökonomischer Evaluationen. In Schöffski O, der Graf S chulenburg JM, (eds) Gesundheitsökonomische Evaluationen.. Berlin, Heidelberg, New York: Springer; 2008: 65-94
- 20 Blackmore C C, Magid D J. Methodologic evaluation of the radiology cost-effectiveness literature. Radiology. 1997; 203 87-91
- 21 Otero H J, Rybicki F J, Greenberg von D et al. Twenty years of cost-effectiveness analysis in medical imaging: are we improving?. Radiology. 2008; 249 753-755
- 22 Poon C S. A brief commentary on cost-effectiveness analysis in radiologic research. Am J Roentgenol. 2008; 191 1308-1319
- 23 Eisenberg J M. Clinical economics: a guide to economic analysis of clinical practices. JAMA. 1989; 262 2879-2886
- 24 Brown G, Davies S, Williams G T et al. Effectiveness of preoperative staging in rectal cancer: digital rectal examination, endoluminal ultrasound or magnetic resonance imaging?. Br J Cancer. 2004; 91 23-29
- 25 Herborn C U, Unkel C, Vogt F M et al. Whole-body MRI for staging patients with head and neck squamous cell carcinoma. Acta Otolaryngol. 2005; 125 1224-1229
- 26 Müller-Horvat C, Radny P, Eigentler T K et al. Prospective comparison of the impact on treatment decisions of whole-body magnetic resonance imaging and computed tomography in patients with metastatic malignant melanoma. Eur J Cancer. 2006; 42 342-350
- 27 Schmidt G P, Baur-Melnyk A, Haug A et al. Comprehensive imaging of tumor recurrence in breast cancer patients using whole-body MRI at 1.5 and 3T compared to FDG-PET-CT. Eur J Radiol. 2008; 65 47-58
- 28 Schmidt G P, Baur-Melnyk A, Haug A et al. Whole-body MRI at 1.5T and 3T compared with FDG-PET-CT for the detection of tumour recurrence in patients with colorectal cancer. Eur Radiol. 2009; 19 1366-1378
- 29 Plathow C, Walz M, Lichy M P et al. Cost considerations for whole-body MRI and PET/CT as part of oncologic staging. Radiologe. 2008; 48 384-396
- 30 Cohen M D, Hawes D R, Hutchins G D et al. Activity-based cost analysis: a method of analyzing the financial and operating performance of academic radiology departments. Radiology. 2000; 215 708-716
- 31 Klose K J, Böttcher J. ”Activity based costing” in radiology. Radiologe. 2002; 42 369-375
- 32 Halavaara J, Breuer J, Ayuso C et al. Liver tumor characterization: comparison between liver-specific gadoxetic acid disodium-enhanced MRI and biphasic CT -- a multicenter trial. J Comput Assist Tomogr. 2006; 30 345-54
- 33 Polignano F M, Quyn A J, Figueiredo R S et al. Laparoscopic versus open liver segmentectomy: prospective, case-matched, intention-to-treat analysis of clinical outcomes and cost effectiveness. Surg Endosc. 2008; 22 2564-2570
- 34 Topal de B, Vromman K, Aerts R et al. Hospital cost categories of one-stage versus two-stage management of common bile duct stones. Surg Endosc. 2010; 24 413-416
- 35 Loose R W, Popp U, Wucherer M et al. Medical radiation exposure and justification at a large teaching hospital: comparison of radiation-related and disease-related risks. Röntgenstr Fortschr. 2010; 182 66-70
- 36 Heyer C M, Peters S, Lemburg S. Structure of the meeting of the german radiological society and scientific discourse pertaining to radiation dose and dose reduction: an analysis of 1998 – 2008. Röntgenstr Fortschr. 2009; 181 1065-1072
- 37 Delcò F, Egger R, Bauerfeind P et al. Hospital health care resource utilization and costs of colorectal cancer during the first 3-year period following diagnosis in Switzerland. Aliment Pharmacol Ther. 2005; 21 615-622
- 38 Busch H P. Benchmarking of radiological departments – starting point for successful process optimization. Röntgenstr Fortschr. 2010; 182 221-228
- 39 Ketelsen D, Röthke M, Aschoff P et al. Detection of bone metastasis of prostate cancer – comparison of whole-body MRI and bone scintigraphy. Röntgenstr Fortschr. 2008; 180 746-752
- 40 Steinborn M, Wörtler K, Nathrath M et al. Whole-body MRI in children with langerhans cell histiocytosis for the evaluation of the skeletal system. Röntgenstr Fortschr. 2008; 180 646-653
- 41 Asbach P, Canda V, Hermann K G et al. Efficient whole-body MRI interpretation: evaluation of a dedicated software prototype. J Digit Imaging. 2008; 21 S50-S58
- 42 Müller-Horvat C, Plathow C, Ludescher B et al. Generating statements at whole-body imaging with a workflow-optimized software tool – first experiences with multireader analysis. Röntgenstr Fortschr. 2007; 179 721-727
Dr. Alexander Huppertz
Imaging Science Institute Charité
Robert-Koch-Platz 7
10115 Berlin
Germany
Phone: ++ 49/30/24 08 33 83
Fax: ++ 49/30/24 08 33 82
Email: Alexander.Huppertz@charite.de