- Open Access
Image-based response assessment of liver metastases following stereotactic body radiotherapy with respiratory tracking
© Jarraya et al.; licensee BioMed Central Ltd. 2013
- Received: 19 December 2012
- Accepted: 22 January 2013
- Published: 30 January 2013
To describe post-CyberKnife® imaging characteristics of liver metastases as an aid in assessing response to treatment, and a novel set of combined criteria (CC) as an alternative to response according to change in size (RECIST).
Subjects and Methods
Imaging data and medical records of 28 patients with 40 liver metastases treated with stereotactic body radiotherapy (SBRT) were reviewed. Tumor size, CT attenuation coefficient, and contrast enhancement of lesions were evaluated up to 2 years post SBRT. Rates of local control, progression-free survival, time to progression, and overall survival according to RECIST and CC were estimated.
Complete response (CR) was 3.6% (95% CI: 0.1–18%) and 18% (95% CI: 6–37%) according to RECIST and combined criteria, respectively. Two progressive diseases and two partial responses according to RECIST were classified as CR by the combined criteria and one stable response according to RECIST was classified as progressive by CC (Stuart-Maxwell test, p = 0.012). The disease control rate was 60.7% (95% CI: 41–78%) by RECIST and 64% (95% CI: 44%–81%) by CC.
Use of response criteria based on change in size alone in the interpretation of liver response to SBRT may be inadequate. We propose a simple algorithm with a combination of criteria to better assess tumor response. Further studies are needed to confirm their validity.
- Stereotactic body radiotherapy
- Liver metastasis
- Response assessment
Stereotactic body radiotherapy (SBRT) is a technique that allows the delivery of a precise dose to a tumor while sparing adjacent normal tissues. Its use for cerebral metastases has shown high local control rates of more than 80–90%. The use of stereotaxy in the treatment of intra-abdominal organs, however, has been hampered by the movement of these organs along with respiration. Robotic SBRT with the CyberKnife® System (Accuray Incorporated, Sunnyvale, CA) is a technique that allows tracking of the respiratory motion, thus enabling delivery of the dose with accuracy even while the patient breathes freely.
The standard first-line treatment for liver metastases is surgery. Yet less than 20% of liver metastases are surgically removable because of their often too large size. The difficulty of the surgical access can be due to anatomic localization of the tumor or other associated comorbidities present with the patient. Other available therapeutic options for inoperable liver metastases are intra-arterial chemo-embolization, Y90 radio-embolization, radiofrequency ablation, and ethanol injection[3, 4]. Stereotactic body radiotherapy (SBRT) is an additional alternative modality that has emerged thanks to recent advances in medical technology and robotics, and appears to result in favorable liver tolerance and good response rates[5–9].
Following the treatment, monitoring the response to the treatment with imaging is of utmost importance, because under- or over-interpretation of the response may have severe consequences, such as subjecting the patient to unnecessary chemotherapy, or an unnoticed recurrence. Hepatic tumors display certain unusual characteristics upon treatment with SBRT, therefore, interpretation of response using the usual size-based guidelines has been difficult in the case of liver treatments.
In this article, we describe post-therapeutic transformations of secondary hepatic lesions treated with CyberKnife with the objective of identifying new criteria of early response and progression by incorporating these morphological changes.
Patients and data
Between July 2007 and November 2010, 103 patients with liver metastases, ineligible for surgery or radiofrequency ablation, underwent SBRT at our center. Inclusion criteria were: WHO performance status score less than 3, four hepatic lesions or less, and initial lesion size smaller than 100 mm. The delivered dose was 40 Gy in four fractions at the beginning, and then increased to 45 Gy in three fractions.
Among these patients, 28 patients were eligible for this study: initial and at least two successive follow-up contrast-enhanced CT (CECT) examinations after treatment, no concomitant chemotherapy, a minimum initial target lesion size of 10 mm, as for RECIST criteria.
The medical records and image data were reviewed retrospectively by our internal review board including one radiologist and two radiation oncologists.
Portal phase images for 28 patients who presented with 40 initial lesions and 163 follow-up evaluations on CECT scans (performed every 3 months after treatment) were reviewed. CT scans were obtained with a 16-detector row CT scanner (Sensation 16; Siemens Medical Solutions). Detector collimation was 1.5 mm. Tube potential was 120 kV, tube current-time product was 185 mAs, pitch was 0.75, section thickness was 5 mm, and reconstruction increment was 5 mm.
Lesion sizes were measured at the longest cross-sectional dimension of each lesion at each time point. Response for each lesion (LR) was evaluated at each of the 163 follow-up evaluations for each of the 40 lesions as the percent change from the pretreatment evaluation and classified according to the same cut-off points as used for RECIST. The RECIST criteria was also calculated for each patient ignoring other metastatic sites: complete response (CR), disappearance of all hepatic lesions; partial response (PR), more than a 30% decrease in the sum of the longest diameter of hepatic lesions from baseline; stable disease (SD), neither partial response nor progressive disease; and progressive disease (PD), more than a 20% increase in the sum of the longest diameter of hepatic lesions from nadir.
CT Attenuation coefficients
CT attenuation coefficient (density) of each lesion was measured in Hounsfield units (H) by drawing a region of interest circumscribing the margin of each lesion (the hypodense area). In patients scanned using the triphasic technique, the portal venous phase images were used for the lesion density measurements. Before measuring the lesions’ CT attenuation coefficients, the reproducibility of different monitors (CT operator’s console [Siemens] and workstation in a radiologist’s office) were tested using acrylic, water, and air phantoms. No significant differences were found in the CT attenuation coefficients of the phantoms measured on different monitors.
Necrosis was defined as non-enhancing tissue. A maximum increase of 10 H on CT after contrast administration (comparing non-enhancing and enhancing CT scans at the same level of the lesion) was considered necrotic tissue, since this was considered insignificant. Contrast enhancement was categorized based on its shape as explained in the results section under imaging findings.
Treatment response according to lesion size, contrast enhancement, necrosis, and combined criteria
Disappearance of lesion
Disappearance of lesion OR Total necrosis
≥ 30% decrease
≥ 30% decrease
< 30% decrease or <20% increase
Neither complete, nor partial nor progressive lesion
≥ 20% increase
Lobulated thick enhancement
≥ 20% increase OR Lobulated thick enhancement
Demographics and disease characteristics are presented with frequencies and percentages for categorical variables. Continuous variables are presented with medians and ranges.
Response rates are presented with a 95% confidence interval calculated from the binomial distribution. The two classification systems (change in lesion size and combined criteria) were compared using the Stuart-Maxwell test at each of the 163 follow-up evalaution as well as for the 28 patients.
All time-to-event analyses were calculated from the start of treatment. Overall survival times were calculated until death or the cut-off date (November 30, 2010), whichever came first. Time to progression for each patient was calculated until the criteria for progression were met for both the RECIST and combined criteria. Non-progressive patients and those deceased from unrelated causes were censored at last follow-up or at date of death. Progression-free survival was calculated until the criteria for progression were first met or until death. Patients who did not progress or did not die were censored at last follow-up. Survival rates were estimated with the Kaplan-Meier method.
Demographic and disease characteristics
Demographic and disease characteristics
Age, median (range)
Sex (n, %)
Localization (n, %)
Number of lesions (n, %)
Treatment response by the lesion
Lesions response according to change in tumor size and combined criteria
Lesion response (N=163)
Change in tumor size
Total, n (%)
Total, n (%)
A total of eight (5%) lesions were classified as pseudo-progressive , either because they stabilized after a period of growth or were completely necrotic despite their growth in size (Figures1c and3). These lesions were among those classified as progressive (three lesions) or stable (five lesions) according to the size-based criteria. In two cases, blood vessels were observed to penetrate these lesions without deformation, attesting to their necrotic nature.
According to the combined criteria, there were 28 (17%) progressive lesions , 26 of which were diagnosed based on a persistent size increase observed over successive imaging and two lesions, although stable in size, showed a lobulated thick heterogeneous enhancement. All of the progressive lesions eventually exhibited a lobulated thick heterogeneous enhancement, indicating strong likelihood for failure (Figures1d and4).
Treatment response by patient
Treatment response using RECIST or combined criteria
Response rates by patient (N=28)
Total, n (%)
Total, n (%)
Survival endpoints using RECIST or combined criteria
Median [CI 95%]
OS rate, % [CI 95%]
Progression or Death (every cause)
Median [CI 95%]
PFS rate, % [CI 95%]
Time to Progression
Progression or death from disease progression
Median [CI 95%]
TTP rate, % [CI 95%]
Time to progression
Thirteen patients had progressive disease or died from disease progression according to both classifications. Median time to progression was not reached according to RECIST and was 19.3 month according to combined criteria. The 1- and 2-year time-to-progression rates were, respectively, 67.9% and 50.8% using RECIST, and 71.4% and 49.4% using combined criteria.
Assessment of response to an oncologic treatment is usually based on international guidelines such as the World Health Organization (WHO) guidelines or the Response Evaluation Criteria in Solid Tumors (RECIST) group[10, 12]. These criteria are based on the assessment of the change in tumor size after treatment. However, they appear to be less adapted in assessing the efficacy of targeted therapy, such as those for gastrointestinal stromal tumors treated with anti-angiogenic agents.
Functional imaging such as FDG Positron Emission Tomography (PET), contrast enhancement ultrasound (CE US), and diffusion-weighted Magnetic Resonance Imaging (MRI) are sensitive methods which allow an early assessment of metabolic response for different treatments[14–17]. However, these methods are available at only a limited number of institutions.
Imaging studies play an integral role in monitoring response to SBRT[18, 19]. Traditionally, a decrease in tumor size according to the RECIST criteria has been considered CT evidence of treatment response 9, 10]. These criteria are the international standard to assess response. However, they are often inadequate in interpreting the results following local or targeted therapy[13, 20–24].
Acknowledging the limitations of the size criteria, some experts proposed considering lesion enhancement in the evaluation of therapeutic response of malignant tumors, such as modified RECIST (mRECIST) for hepatocellular carcinoma (HCC), the CHOI criteria for gastrointestinal stromal tumors (GIST), or the CHUN criteria for colorectal metastases treated with bevacizumab.
In this study, we observed the profile evolution of 40 liver lesions following SBRT. This way, we were able to objectively distinguish the responsive lesions from the progressive ones. The responsive lesions included those with complete necrosis, complete disappearance, partial response, or stabilization; and also the pseudo-progressive lesions that initially increased their size or remained stable and yet were completely necrotic.
Our method for response evaluation combines size, enhancement, and necrosis criteria based on the retrospective observation of SBRT-treated hepatic lesions. Lesions were classified into four categories: CR, PR, and SD for local control, and PD for local recurrence. A response was considered complete if a lesion disappeared, or the remaining tissue appeared completely necrotic regardless of its size. Also according to combined criteria, the occurrence of a lobulated enhancement pattern around the lesion was considered PD regardless of any change in lesion size. A size increase according to RECIST without total necrosis was also considered as progressive disease. For the combined criteria, partial response and stable disease are identical to their counterparts in the RECIST criteria. Owing to measurements unreliability of CT attenuation coefficient for small lesions, we did not consider necrosis criteria for lesions ≤15 mm.
During the course of the study, we observed that if the RECIST criteria were to be applied without question, this may result in misinterpretation of some of the responses to the treatment. For instance, a progressive lesion according to the combined criteria was deemed stable according to RECIST. Some of the perfectly responsive lesions increased in size and were classified as progressive according to RECIST, but we were able to attribute this increase to necrosis, cystic degeneration, hemorrhage, or edema. Therefore, size increase was not enough in and of itself as a criterion to indicate progression. In our study, two patients had lesions which became completely necrotic but increased in size and would have been erroneously categorized as PD based on the traditional size criteria. These lesions did not show any enhancement unlike the really progressive lesions that increased in size yet stayed solid. Therefore, it is sometimes necessary to use more diverse criteria based on the morphological characteristics of a lesion that can be observed on CT.
The lobular enhancement pattern we defined in the results section is a morphologic sign based on the lesion enhancement shape that is easy to identify by contouring the outline of a lesion. This pattern seemed to be a sensitive and specific sign for assessment of local relapse, which well correlated with size changes in 9/10 patients. Lobulated enhancement could sometimes allow earlier identification of local recurrence. In 2/10 patients, the lobulated enhancement appeared earlier than size progression, at the same time for 7/10 patients, and later in 1/10 patient. In this last case, the telltale sign was difficult to spot because of the lesion’s location that contained no surrounding parenchyma. The determination of the sensitivity and specificity of this pattern needs further studies with a larger number of progressive lesions. This pattern may have been detected earlier than the enlargement in size if an intermediate CT scan between 6th and 9th months had been recorded. In fact, on analysis of the progression-free survival curves, the drop in the curve with the two methods of evaluation occurring between the 6th and 9th months suggests that this period may be important in the surveillance of the lesions, and the insertion of an extra CT scan during this period may be instrumental in earlier detection of a possible failure. This way, an earlier medical intervention could also be initiated.
Total necrosis was also easy to spot by measuring with an objective method the density of the lesion before and after contrast injection: a difference ≤10 H indicated no enhancement, therefore, necrotic characteristics. This method could not be used for small lesions that were <15 mm, in which case the measurements became unreliable. The necrosis criterion allowed the identification of complete response cases that were erroneously classified as progressive based on their size increase.
The thin rim enhancement was seen in all lesions in our study. This finding is likely due to the presence of granulation tissue related to inflammatory response to the treatment.Our findings are consistent with the literature. For instance, Olsen et al. have described a zonal pattern of SBRT injury in two patients treated by SBRT and who underwent surgery. Herfarth et al. have described three different types of reaction based on the time of imaging after SBRT corresponding to the histological changes seen in veno-occlusive disease (VOD). The results of our study matches those of Herfarth fairly well. The VOD that was initially seen as a hypodense area would become fibrotic, becoming smaller and denser as seen on successive follow-ups. In only one patient who had a case of fatty infiltration of the liver, the CT showed a relatively increased density of the surrounding area in the portal phase. This has also been described by Yamasaki in 2/31 patients treated by conformal radiation therapy. A distinct border between the target and normal parenchyma was always visible at the treatment margin. This phenomenon also attested to the CyberKnife beams’ accuracy of distribution.
There was no statistical difference in classification of progressive disease using RECIST criteria and combined criteria due to the small number of progressive lesions (n = 10 for the combined criteria and n = 11 for RECIST). Nevertheless, the use of the combined criteria led to a more accurate detection of response and progression than the use of RECIST criteria. Among patients with RECIST-identified progressive lesions (n = 11), necrosis and enhancement criteria allowed to differentiate between progressive (n = 9 PD) and pseudo-progressive lesions (n = 2 CR). A display of complete necrosis proves a lesion is in complete response. On the other hand, the lobulated thick enhancement can be useful for confirmation of progression when progression is suspected based on the size criterion.
Although the response rates excluding SD according to size criteria were relatively low (46%), in most of the patients (60.7%), the lesion size stabilized after SBRT. A stable lesion is considered beneficial for a patient whose lesion was progressive before the treatment and would have progressed if the treatment had not been implemented. The response rates, including SD, were not statistically different, 61% according to RECIST criteria and 64% according to combined criteria.
In this study, the median survival duration was not reached. The 1- and 2-year overall survival rates were 96% and 67%, respectively. In order to achieve at least 2 years of follow up, we included some patients treated at the beginning of our SBRT practice at which time the patients were treated at a lower dose than in our current practice. However, if we were to report on the complete cohort treated at our center, which included 99 lesions in 72 patients until April 2010, the median progression-free survival was 10.5 months, reached by patients who had failed multiple regimens of chemotherapy. The overall survival rate was 72% at 1 year and 65% at 2 years. These survival results are consistent with those previously reported for patients with unresectable liver metastases[5, 7, 8, 18]. These encouraging results should be considered with the selection criteria for the patients eligible for SBRT in mind. These patients usually have good performance status with long disease history, metastases only in the liver or a limited number of other metastases.
This retrospective study has the usual limitations associated with this type of studies. Histopathological confirmation of imaging findings after therapy was not attempted because of the potential for sampling error. Furthermore, a biopsy was considered too invasive without significant effect on future management. The patient sample was limited to the patients who had at least 2 years of follow-up and lesions larger than 1 cm. Response was assessed on the data from successive follow-ups conducted during at least 2 years. SD based on imaging at 2 years was considered local control without histopathological confirmation.
The response assessment criteria were developed based on retrospective observation performed by one radiologist. Because the described lobular enhancement pattern is subject to interpretation, it is necessary to further confirm their validity prospectively in a larger population of patients and with many radiologists.
SBRT is an emerging technique for treatment of unresectable liver malignancies, especially liver metastases. The interpretation of post therapeutic imaging features may be challenging for radiologists. The size-based RECIST criteria are not always appropriate in interpreting imaging follow-up of local treatments such as SBRT. Instead we developed a new set of criteria based on a characteristic enhancement pattern on contrast CT combined with the size-based RECIST. These new combined criteria, which need further studies to be validated, may prevent some of the errors that may result from misinterpretation with size-based criteria alone.
Acknowledgement to Mikail H. Gezginci, MPharm, PhD.
- Jenkinson MD, Haylock B, Shenoy A, Husband D, Javadpour M: Management of cerebral metastasis: evidence-based approach for surgery, stereotactic radiosurgery and radiotherapy. Eur J Cancer 2011, 47: 649-655. 10.1016/j.ejca.2010.11.033View ArticlePubMedGoogle Scholar
- Feuvret L, Noel G, Nauraye C, Garcia P, J-Mazeron J: [Conformal index and radiotherapy]. Cancer Radiother 2004, 8: 108-119. 10.1016/j.canrad.2003.12.002View ArticlePubMedGoogle Scholar
- Ruers T, Bleichrodt RP: Treatment of liver metastases, an update on the possibilities and results. Eur J Cancer 2002, 38: 1023-1033. 10.1016/S0959-8049(02)00059-XView ArticlePubMedGoogle Scholar
- Sawrie SM, Fiveash JB, Caudell JJ: Stereotactic body radiation therapy for liver metastases and primary hepatocellular carcinoma: normal tissue tolerances and toxicity. Cancer Control 2010, 17: 111-119.PubMedGoogle Scholar
- Fuss M, Thomas CR Jr: Stereotactic body radiation therapy: an ablative treatment option for primary and secondary liver tumors. Ann Surg Oncol 2004, 11: 130-138. 10.1245/ASO.2004.10.907View ArticlePubMedGoogle Scholar
- Vautravers-Dewas C, Dewas S, Bonodeau F, Adenis A, Lacornerie T, Penel N, Lartigau E, Mirabel X: Image-guided robotic stereotactic body radiation therapy for liver metastases: is there a dose response relationship? Int J Radiat Oncol Biol Phys 2011, 81: e39-47. 10.1016/j.ijrobp.2010.12.047View ArticlePubMedGoogle Scholar
- Ambrosino G, Polistina F, Costantin G, Francescon P, Guglielmi R, Zanco P, Casamassima F, Febbraro A, Gerunda G, Lumachi F: Image-guided robotic stereotactic radiosurgery for unresectable liver metastases: preliminary results. Anticancer Res 2009, 29: 3381-3384.PubMedGoogle Scholar
- Goodman KA, Wiegner EA, Maturen KE, Zhang Z, Mo Q, Yang G, Gibbs IC, Fisher GA, Koong AC: Dose-escalation study of single-fraction stereotactic body radiotherapy for liver malignancies. Int J Radiat Oncol Biol Phys 2010, 78: 486-493. 10.1016/j.ijrobp.2009.08.020View ArticlePubMedGoogle Scholar
- Goyal K, Einstein D, Yao M, Kunos C, Barton F, Singh D, Siegel C, Stulberg J, Sanabria J: Cyberknife stereotactic body radiation therapy for nonresectable tumors of the liver: preliminary results. HPB Surg 2010, 2010: pii 309780.View ArticleGoogle Scholar
- Miller AB, Hoogstraten B, Staquet M, Winkler A: Reporting results of cancer treatment. Cancer 1981, 47: 207-214. 10.1002/1097-0142(19810101)47:1<207::AID-CNCR2820470134>3.0.CO;2-6View ArticlePubMedGoogle Scholar
- Chung EP, Herts BR, Linnell G, Novick AC, Obuchowski N, Coll DM, Baker ME: Analysis of changes in attenuation of proven renal cysts on different scanning phases of triphasic MDCT. AJR Am J Roentgenol 2004, 182: 405-410. 10.2214/ajr.182.2.1820405View ArticlePubMedGoogle Scholar
- Nishino M, Jagannathan JP, Ramaiya NH, Van den Abbeele AD: Revised RECIST guideline version 1.1: What oncologists want to know and what radiologists need to know. AJR Am J Roentgenol 2010, 195: 281-289. 10.2214/AJR.09.4110View ArticlePubMedGoogle Scholar
- Choi H, Charnsangavej C, de Castro Faria S, Tamm EP, Benjamin RS, Johnson MM, Macapinlac HA, Podoloff DA: CT evaluation of the response of gastrointestinal stromal tumors after imatinib mesylate treatment: a quantitative analysis correlated with FDG PET findings. AJR Am J Roentgenol 2004, 183: 1619-1628. 10.2214/ajr.183.6.01831619View ArticlePubMedGoogle Scholar
- Coenegrachts K: Magnetic resonance imaging of the liver: New imaging strategies for evaluating focal liver lesions. World J Radiol 2009, 1: 72-85. 10.4329/wjr.v1.i1.72View ArticlePubMedPubMed CentralGoogle Scholar
- Caretti V, Zondervan I, Meijer DH, Idema S, Vos W, Hamans B, Bugiani M, Hulleman E, Wesseling P, Vandertop WP, Noske DP, Kaspers G, Molthoff CF, Wurdinger T: Monitoring of tumor growth and post-irradiation recurrence in a diffuse intrinsic pontine glioma mouse model. Brain Pathol 2011, 21: 441-451. 10.1111/j.1750-3639.2010.00468.xView ArticlePubMedGoogle Scholar
- Cheebsumon P, Velasquez LM, Hoekstra CJ, Hayes W, Kloet RW, Hoetjes NJ, Smit EF, Hoekstra OS, Lammertsma AA, Boellaard R: Measuring response to therapy using FDG PET: semi-quantitative and full kinetic analysis. Eur J Nucl Med Mol Imaging 2011, 38: 832-842. 10.1007/s00259-010-1705-9View ArticlePubMedPubMed CentralGoogle Scholar
- Padhani AR, Koh DM: Diffusion MR imaging for monitoring of treatment response. Magn Reson Imaging Clin N Am 2011, 19: 181-209. 10.1016/j.mric.2010.10.004View ArticlePubMedGoogle Scholar
- Rusthoven KE, Kavanagh BD, Cardenes H, Stieber VW, Burri SH, Feigenberg SJ, Chidel MA, Pugh TJ, Franklin W, Kane M, Gaspar LE, Schefter TE: Multi-institutional phase I/II trial of stereotactic body radiation therapy for liver metastases. J Clin Oncol 2009, 27: 1572-1578. 10.1200/JCO.2008.19.6329View ArticlePubMedGoogle Scholar
- Lee MT, Kim JJ, Dinniwell R, Ley J, Lockwood G, Wong R, Cummings B, Ringash J, Tse RV, Knox JJ, Dawson LA: Phase I study of individualized stereotactic body radiotherapy of liver metastases. J Clin Oncol 2009, 27: 1585-1591. 10.1200/JCO.2008.20.0600View ArticlePubMedGoogle Scholar
- Takayasu K, Arii S, Matsuo N, Yoshikawa M, Ryu M, Takasaki K, Sato M, Yamanaka N, Shimamura Y, Ohto M: Comparison of CT findings with resected specimens after chemoembolization with iodized oil for hepatocellular carcinoma. AJR Am J Roentgenol 2000, 175: 699-704. 10.2214/ajr.175.3.1750699View ArticlePubMedGoogle Scholar
- Dromain C, de Baere T, Elias D, Kuoch V, Ducreux M, Boige V, Petrow P, Roche A, Sigal R: Hepatic tumors treated with percutaneous radio-frequency ablation: CT and MR imaging follow-up. Radiology 2002, 223: 255-262. 10.1148/radiol.2231010780View ArticlePubMedGoogle Scholar
- Ebied OM, Federle MP, Carr BI, Pealer KM, Li W, Amesur N, Zajko A: Evaluation of responses to chemoembolization in patients with unresectable hepatocellular carcinoma. Cancer 2003, 97: 1042-1050. 10.1002/cncr.11111View ArticlePubMedGoogle Scholar
- Kalb B, Chamsuddin A, Nazzal L, Sharma P, Martin DR: Chemoembolization follow-up of hepatocellular carcinoma with MR imaging: usefulness of evaluating enhancement features on one-month posttherapy MR imaging for predicting residual disease. J Vasc Interv Radiol 2010, 21: 1396-1404. 10.1016/j.jvir.2010.05.015View ArticlePubMedGoogle Scholar
- Lencioni R, Llovet JM: Modified RECIST (mRECIST) assessment for hepatocellular carcinoma. Semin Liver Dis 2010, 30: 52-60. 10.1055/s-0030-1247132View ArticlePubMedGoogle Scholar
- Chun YS, Vauthey JN, Boonsirikamchai P, Maru DM, Kopetz S, Palavecino M, Curley SA, Abdalla EK, Kaur H, Charnsangavej C, Loyer EM: Association of computed tomography morphologic criteria with pathologic response and survival in patients treated with bevacizumab for colorectal liver metastases. JAMA 2009, 302: 2338-2344. 10.1001/jama.2009.1755View ArticlePubMedPubMed CentralGoogle Scholar
- Siegel CL, Fisher AJ, Bennett HF: Interobserver variability in determining enhancement of renal masses on helical CT. AJR Am J Roentgenol 1999, 172: 1207-1212. 10.2214/ajr.172.5.10227490View ArticlePubMedGoogle Scholar
- Wong CY, Salem R, Raman S, Gates VL, Dworkin HJ: Evaluating 90Y-glass microsphere treatment response of unresectable colorectal liver metastases by [18F]FDG PET: a comparison with CT or MRI. Eur J Nucl Med Mol Imaging 2002, 29: 815-820. 10.1007/s00259-002-0787-4View ArticlePubMedGoogle Scholar
- Olsen CC, Welsh J, Kavanagh BD, Franklin W, McCarter M, Cardenes HR, Gaspar LE, Schefter TE: Microscopic and macroscopic tumor and parenchymal effects of liver stereotactic body radiotherapy. Int J Radiat Oncol Biol Phys 2009, 73: 1414-1424. 10.1016/j.ijrobp.2008.07.032View ArticlePubMedGoogle Scholar
- Herfarth KK, Hof H, Bahner ML, Lohr F, Höss A, van Kaick G, Wannenmacher M, Debus J: Assessment of focal liver reaction by multiphasic CT after stereotactic single-dose radiotherapy of liver tumors. Int J Radiat Oncol Biol Phys 2003, 57: 444-451. 10.1016/S0360-3016(03)00586-8View ArticlePubMedGoogle Scholar
- Yamasaki SA, Marn CS, Francis IR, Robertson JM, Lawrence TS: High-dose localized radiation therapy for treatment of hepatic malignant tumors: CT findings and their relation to radiation hepatitis. AJR Am J Roentgenol 1995, 165: 79-84. 10.2214/ajr.165.1.7785638View ArticlePubMedGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.