Next Article in Journal
Correlations Between Mammographic Breast Density and Outcomes After Neoadjuvant Chemotherapy in Patients with Locally Advanced Breast Cancer
Previous Article in Journal
The Impact of Peroxiredoxin 3 on Molecular Testing, Diagnosis, and Prognosis in Human Pancreatic Ductal Adenocarcinoma
Previous Article in Special Issue
Artery-First Approach During Minimally Invasive Pancreatoduodenectomy for Pancreatic Cancer: Outcomes from a Single Center and Comparison Between Laparoscopic and Robotic Approaches
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Perioperative and Oncological Outcome in Patients Undergoing Curative-Intent Liver Resection for Cholangiocarcinoma in the Context of Osteopenia

1
Department of General, Visceral, Pediatric and Transplantation Surgery, University Hospital RWTH Aachen, 52074 Aachen, Germany
2
Department of General, Visceral and Transplantation Surgery, University Hospital Essen, 45147 Essen, Germany
3
Department for Gastroenterology, Metabolic Diseases and Intensive Care, University Hospital RWTH Aachen, 52074 Aachen, Germany
4
Department of Diagnostic and Interventional Radiology, University Hospital RWTH Aachen, 52074 Aachen, Germany
5
Department of General, Visceral and Transplantation Surgery, University Hospital Heidelberg, 69120 Heidelberg, Germany
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Cancers 2025, 17(13), 2213; https://doi.org/10.3390/cancers17132213
Submission received: 22 May 2025 / Revised: 22 June 2025 / Accepted: 30 June 2025 / Published: 1 July 2025
(This article belongs to the Special Issue Clinical Surgery for Hepato-Pancreato-Biliary (HPB) Cancer)

Simple Summary

Cholangiocarcinoma is a rare but aggressive form of liver cancer that starts in the bile ducts. Surgery is currently the only chance for a cure, but it carries high risks, especially in older or physically weaker patients. This study explores whether measuring bone mineral density using routine CT scans before surgery could help predict who is at greater risk of complications or poor outcomes as osteopenia is often linked to aging and frailty. We studied over 202 patients who underwent surgery with curative intent and compared the outcomes between those with and without osteopenia. Surprisingly, we found that having low bone density did not lead to worse surgical outcomes or survival rates. These findings suggest that, unlike in other cancer types, osteopenia may not be a reliable prognostic factor for patients undergoing surgery for cholangiocarcinoma. Further research is needed to confirm these results.

Abstract

Background: Cholangiocarcinoma (CCA) of the liver is a highly aggressive cancer that arises from malignant cells in the bile ducts. Radical surgery remains the only curative option, but major liver resection carries high perioperative risks. This study investigates the predictive value of preoperative bone mineral density (BMD), measured via CT, for perioperative complications, mortality, and long-term outcomes. Methods: The analysis included 202 patients who underwent curative-intent surgery for intrahepatic cholangiocarcinoma (iCCA; n = 97) or perihilar cholangiocarcinoma (pCCA; n = 105) between 2010 and 2019. Preoperative bone mineral density (BMD) was assessed using computed tomography segmentation at the level of the 12th thoracic vertebra. Osteopenia was defined according to established cutoffs. Results: Osteopenia was highly prevalent in both iCCA (53/97, 54%) and pCCA (54/105, 51%) subcohorts. Patients suffering from osteopenia were significantly older than those without (71.1 [62–76.6] years vs. 61.3 [52.9–69.2] years; p < 0.001). Alteration in BMD did not demonstrate a significant prognostic effect in terms of perioperative morbidity (Mann–Whitney U; comprehensive complication index—CCI: 34 [9–56] vs. 40 [21–72] p = 0.185; iCCA: p = 0.803; pCCA: p = 0.165). The median overall survival in our cohort was 19 [14–25] months. Patients with osteopenia did not exhibit a significantly different overall survival compared to those with normal bone mineral density (log-rank p = 0.234). Conclusions: In contrast to our previous observations in other oncological patient cohorts, osteopenia alone had no significant negative impact on clinical outcomes in our large European cohort of patients undergoing curative-intent surgery for CCA. To validate these findings, further prospective studies are warranted.

1. Introduction

In carcinomas with poor prognosis, careful patient selection for surgical treatment is essential to optimize postoperative outcomes. This consideration is particularly relevant in cases such as cholangiocarcinoma (CCA) of the liver, where the aggressive nature of the disease and limited therapeutic options make it critical to identify patients who are most likely to benefit from surgical intervention, the only curative treatment option available to date. As patients requiring major liver resection for CCA are confronted with a substantial risk of perioperative morbidity and mortality, accurate patient selection and risk stratification are crucial in optimizing outcomes.
Impairment of body composition (BC) including reduced muscle mass (sarcopenia) and impaired muscle quality (myosteatosis) has been recognized as a risk factor in various settings [1,2,3,4]. Recent studies, including those from our group, have identified a high prevalence of sarcopenia and myosteatosis in patients with CCA, hepatocellular carcinoma (HCC), or liver cirrhosis [5,6,7,8]. Moreover, these studies have revealed a correlation between myosteatosis and unfavorable perioperative outcomes in patients undergoing partial hepatectomy for CCA, HCC, and orthotopic liver transplantation (OLT) [5,6,8,9].
Recently, Pereira et al. published that bone loss in male patients with chronic diseases may occur and become clinically apparent prior to any noticeable reduction in skeletal muscle mass [10]. While dual-energy X-ray absorptiometry (DXA) remains the gold standard for assessing bone mineral density (BMD), there is a growing trend towards utilizing CT scan-based attenuation values for characterizing BMD. This approach is gaining popularity, particularly in oncological patients, owing to the widespread availability of CT scans as part of preoperative staging [11]. In this context, reduced BMD, defined as osteopenia, has recently been analyzed and could be found to impair oncological outcomes in patients undergoing surgical resection for HCC by our group and others [12,13].
Based on this, Jordens et al. recently identified a correlation between survival and osteopenia in female palliative CCA patients [14], and the group of Watanabe et al. demonstrated a survival disadvantage in osteopenic patients who underwent surgery for pCCA in a Japanese cohort [15]. Nevertheless, there is still a lack of knowledge concerning BMD and its potential prognostic role in patients suffering from CCA. Accordingly, the objective of this study was to investigate the prognostic significance of osteopenia in clinical outcomes among a cohort of patients undergoing partial hepatectomy for intrahepatic cholangiocarcinoma (iCCA) and perihilar cholangiocarcinoma (pCCA) with curative intent at a single center in Western Europe.

2. Patients and Methods

2.1. Patients and Eligibility

This retrospective study analyzed all consecutive patients who underwent partial hepatectomy for CCA at the University Hospital RWTH Aachen, Germany, between 2010 and 2019. Prior to elective partial hepatectomy, clinical staging was conducted, excluding patients with systemic or unresectable disease. Additionally, those who received only abdominal MRI for staging were not included in the bone mineral density (BMD) analysis. The study adhered to the International Conference on Harmonisation Good Clinical Practice (ICH-GCP) guidelines and the Declaration of Helsinki. The study protocol was approved by the RWTH-Aachen Institutional Review Board (EK 115/20 and EK 341/21). Due to the study’s retrospective design and use of pre-existing clinical data, informed consent was waived.

2.2. Image Analysis and Segmentation

Bone mineral density (BMD) was evaluated using imaging data, following a previously described method that involved analyzing a single cross-sectional image at the level of the 11th thoracic vertebra (Figure 1) [12,16]. Computed tomography for oncological staging was performed at UH-RWTH Aachen within four weeks before surgery. All CTs were performed using a dual-source-CT-scanner (Siemens Somatom Force, Siemens AG, München, Germany) with the following technical parameters: tube voltage, 120 kVp; 0.5 s/rotation; and 5 mm reconstruction thickness. Segmentation was performed in a semi-automated manner by an investigator blinded to the patients’ remaining clinical data using the 3D Slicer software platform version 4.1 (https://www.slicer.org/). This involved calculating the average pixel density within a standardized circular region of interest (ROI), specifically targeting the mid-vertebral core sample on trabecular bone alone, using the non-contrast phase of the CT scans. To mitigate partial volume effects, three standardized, circular regions of interest (ROIs) were manually placed within the trabecular bone of the mid-vertebral body for each patient. The mean of these three measurements was calculated to obtain a robust and representative estimate of vertebral bone mineral density (BMD). Patients with radiodense foreign materials (e.g., spinal implants or cement) that could induce beam-hardening artifacts were excluded to minimize measurement bias. The resulting BMD values were measured in Hounsfield units (HU). A gender-specific cutoff value was used to define osteopenia. While for male patients, a pre-established cutoff value of <160 HU was determined, a cutoff of <175 HU was defined for females, as described previously [12].

2.3. Clinical Data Collection and Patient Follow-Up

Clinical data were retrospectively analyzed from a prospectively maintained institutional database. The decision to pursue a curative-intent partial hepatectomy was made by a hepatobiliary surgeon and later approved by the interdisciplinary tumor board at the institution. Partial hepatectomy procedures were conducted either laparoscopically or conventionally as described in earlier studies of our group [12]. Follow-up data utilized in this study were sourced from the outpatient clinic of the UH-RWTH Aachen and the local community-based oncologist network. The classifications and scores utilized in this analysis have been elucidated in prior published studies, both by our group and others (including ASA, labMELD, Clavien–Dindo classification (CD) and the comprehensive complication index (CCI) [17,18], calculation of blood transfusion, length of hospital stay, and long-term follow-up).

2.4. Statistical Analysis

The primary endpoint of this study was to evaluate the overall survival (OS) of patients who underwent liver resection for CCA with curative intent. Secondary endpoints included the assessment of perioperative in-hospital major morbidity (defined as CD ≥ 3b) [17], overall perioperative outcome, length of hospital stay, 90-day mortality, and disease-free survival (DFS). DFS was defined as the time from curative-intent surgery to cancer recurrence, while death from other causes than the primary cancer was censored. OS was defined as the time from curative-intent surgery to death from any cause. Categorical data were presented as absolute and relative frequencies, while continuous data were expressed as the mean ± standard deviation. Statistical analysis involved the use of the Chi-square test and Fisher’s exact test for categorical data, and the Student’s t-test, Mann–Whitney U test, and Kruskal–Wallis H test for continuous data. Spearman’s correlation coefficient was utilized to examine the association between BMD and various BC parameters. Kaplan–Meier survival curves were generated and analyzed using the log-rank test. Figures were created with GraphPad Prism 9 (Dotmatics, Boston, MA, USA), and statistical analyses were conducted using SPSS Statistics 24 (IBM Corp., Armonk, NY, USA), with a significance threshold of p < 0.05.

3. Results

3.1. Study Population Characteristics

Between 2010 and 2019, 225 consecutive patients underwent curative-intent partial hepatectomy for CCA at our university hospital. Twenty-three patients were excluded from the study due to inadequate preoperative imaging, resulting in a final study cohort of 202 patients. Among these, there were 116 male patients (57%) and 86 female patients (43%), with a median age of 66.6 [57.7–73.4] years. A total of 97 (48%) patients were suffering from iCCA, while 105 (52%) patients were diagnosed with pCCA.

3.2. Body Composition Assessment and Patient Characteristics

In our cohort, the median BMD was 155 [129.9–187.4] with a median BMI of 25.1 [22.5–28.9]. Based on our pre-defined cutoffs, a total of 107 patients were diagnosed with osteopenia and 95 patients with normal BMD with a median value of 132 [107–143] HU, compared to 189 [176–215] HU (Table 1, respectively).
The osteopenia group had a significantly higher median age of 71.1 [62.0–76.6] years compared to 61.3 [52.9–69.2] years in the non-osteopenia group (p = 0.001, Table 1, respectively). The median body mass index (BMI) was similar between the groups: 25.0 [22.1–29.1] kg/m2 in the osteopenic group and 25.1 [22.9–28.7] kg/m2 in the non-osteopenic group (p = 0.921, Table 1, respectively). Interestingly, skeletal muscle mass (SMI) was similar in both groups, while skeletal muscle radiation attenuation (SM-RA) was significantly lower in osteopenic patients (46 [41–53] vs. 48 [42–56]; p = 0.325; 31 [25–36] vs. 35 [29–40]; p = 0.001, Table 1, respectively)
In line with these findings, patient age was significantly negatively associated with BMD using Spearman‘s correlation coefficient and corresponding correlations plots, while BMI was not (r = -0.506, p = 0.000; r = -0.050, p = 0.478, Figure 2). A significant correlation between SM-RA and BMD could be detected, while BMD and SMI showed no association (r = 0.314, p = 0.000; r = 0.091, p = 0.202, Figure 2).
There were no significant differences between the groups in preoperative characteristics, including ASA classification, preoperative cholangitis, and cirrhosis.
Preoperative serum bilirubin levels were comparable between groups, with a median of 0.70 [0.43–1.35] vs. 0.83 [0.45–2.47] mg/dL (p = 0.878, Table 1, respectively). However, preoperative serum gamma glutamyltransferase levels (GGT) were slightly elevated in patients suffering from osteopenia, with a median of 245 [99–630] U/L vs. 246 [120–621] U/L in patients with normal BMD (p = 0.041, Table 1, respectively). In 27% of the cohort, preoperative portal vein embolization was performed for 33% of osteopenic patients and 21% of patients with a normal BMD distribution (p = 0.081, Table 1, respectively).

3.3. Surgical Approach

Regarding the surgical approach, there were no significant differences between the groups in liver resection procedures. Extended right hepatectomies (15%) and extended left hepatectomies (17%) were the most frequently performed procedures (Table 1). Tumor staging was similarly distributed across both groups, with no notable differences in UICC stages, T/N categories, or tumor grading (detailed characteristics in Table 1). R0 resection was achieved in 85% of patients (Table 1).

3.4. Perioperative Outcome and Osteopenia

Concerning perioperative outcomes, no statistically significant difference was detected between the osteopenic and non-osteopenic subcohorts. Major postoperative complications (CD ≥ 3b) occurred in 35% of the total cohort: 32% in osteopenic patients and 39% in patients with normal BMD, showing no significant difference (p = 0.262, Table 2). The comprehensive complication index (CCI) was marginally higher in the non-osteopenic group, with a median of 39.5 [20.9–72.2] compared to 33.5 [8.7–56] in the osteopenia group, but the difference was not statistically significant (p = 0.128, Table 2, respectively). The median duration of the operative procedure was 360 [288–438] minutes, with similar durations in both groups (p = 0.274, Table 2).
In line with the findings above, median hospital stay did not differ significantly (15 [11–30] vs. 16 [11–26], p = 0.266, Table 2, respectively). Intraoperative red blood cell (RBC) transfusion requirements were minimal, with a median of 0 [0–2] units in both groups (p = 0.796), while fresh frozen plasma (FFP) transfusion showed no significant difference, with a median of 2 [0–4] units in the osteopenic group and 0 [0–4] units in the non-osteopenia group (p = 0.468, Table 2, respectively).
The osteopenic and non-osteopenic groups were further subdivided into patients suffering from iCCA and pCCA cohorts. Similarly, no significant differences were observed in perioperative outcomes between the groups including the duration of the operative procedure, hospital stay, transfusion requirements, and postoperative complications. Detailed results can be found in Table 2.

3.5. The Effect of Osteopenia on Long-Term Overall and Disease-Free Survival

The median overall survival (OS) of all included patients in this study was 19 [14–25] months with a DFS of 16 [11–21] months. Patients with osteopenia had an OS of 24 months, compared to 14 months in non-osteopenic patients. The five-year OS probability of osteopenic patients was similar when compared to those with normal BMD (30% vs. 26%, p = 0.379; Figure 3, respectively). In line with the findings above, the probability of DFS at 5 years did not differ significantly between the groups (35% vs. 25%, p = 0.106; Figure 3, respectively). Additionally, the group was subdivided into iCCA and pCCA patients. No significant difference in the OS or DFS probabilities at 5 years could be found in osteopenic and non-osteopenic patients suffering from iCCA as well (23% vs. 31%, p = 0.858, 26% vs. 13%, p = 0.118, Figure 3, respectively). Similar, no significant impact of BMD could be observed concerning the 5-year OS and DFS probabilities in patients with pCCA (42% vs. 29%, p = 0.157, 35% vs. 57%, p = 0.427, Figure 3, respectively).
Further, due to the sex-related differences in BMD values, we performed a subgroup analysis based on gender. Out of the 116 male patients with CCA, 72 patients had pCCA and 44 iCCA, while the female cohort included 86 patients, 33 with pCCA and 53 with iCCA (Supplementary Table S1).
In male patients, 5-year OS probability was comparable in the osteopenic and non-osteopenic groups (31% vs. 28%, p = 0.557; Figure 4, respectively). Osteopenic and normal BMD groups did not differ significantly concerning 5-year OS, neither in male patients suffering from pCCA nor in male patients suffering from iCCA (39% vs. 29%, p = 0.489, 19% vs. 26%, p = 0.879; Figure 3, respectively).
In line with the findings above, osteopenia did not affect OS probability in female patients significantly, with a 5-year OS probability of 33% in osteopenic females and 28% in non-osteopenic females (p = 0.454; Figure 4).
Interestingly, in the female subcohort of patients suffering from pCCA, an impaired OS probability at 5 years in non-osteopenic patients could be detected (44% vs. 14%, p = 0.006; Figure 4, respectively) notably in a small cohort of 33 individuals, while the 5-year OS probability in females with iCCA was largely comparable (24% vs. 33%, p = 0.557; Figure 4, respectively).

4. Discussion

The present study aimed to explore the potential association between BMD and both perioperative outcomes and long-term survival in patients undergoing surgery for CCC. Despite the known implications of BMD in clinical outcomes indicated by our group and others in different entities [12,14,19], our present findings suggest that BMD does not have a significant correlation with either the perioperative outcomes or the long-term prognosis in our CCA cohort. Although the subcohort of female patients with pCCA and normal bone density exhibited a shorter overall survival, we hypothesize that the cohort size of female pCCA patients (n = 34) was too small to draw definitive conclusions.
Considering that a correlation between osteopenia and unfavorable outcomes in patients undergoing partial hepatectomy for hepatocellular carcinoma (HCC) could be detected by our group and others [12,13], it is particularly surprising that a similar association could not be found in patients suffering from CCA and thus undergoing surgery with curative intent. In HCC, lower BMD has been linked to impaired clinical and oncological outcomes, possibly due to the shared metabolic and systemic factors, such as chronic liver disease and inflammation, that affect both bone health and tumor progression. The absence of this correlation in CCA might be explained by the underlying liver-related mechanisms: HCC typically develops with a background of liver cirrhosis; in contrast, cholangiocarcinoma does not arise from cirrhotic liver tissue.
Another possible explanation for the lack of association between BMD and outcomes in cholangiocarcinoma could be the highly aggressive and rapidly progressing nature of this tumor. Cholangiocarcinoma often advances quickly, leading to significant clinical deterioration regardless of underlying bone health. This aggressive behavior might overshadow any potential impact that BMD could have on patient outcomes, with the rapid tumor progression being the primary driver of both perioperative and long-term results. In contrast to hepatocellular carcinoma, where the disease course can be more indolent and chronic conditions such as liver cirrhosis can simultaneously affect bone health and cancer progression, ultimately deciding the fate of the patient, cholangiocarcinoma’s swift advancement may leave less room for BMD to play a significant clinical role in influencing patient outcomes. In this context, future research should possibly prioritize the development of preventive measures and alternative treatments for this aggressive cancer, given its rapid progression and poor prognosis.
BMD is widely recognized as the primary parameter for assessing bone mass loss and serves as a key morphological indicator of patient frailty [20]. While DXA remains the gold standard for diagnosing osteopenia and osteoporosis, increasing evidence supports the use of radiation attenuation values from trabecular bone in routine staging CT scans for oncological patients [21,22,23]. While Watanabe et al. defined osteopenic patients using a non-gender-specific pre-described cutoff of <160 HU [15], the group of Jordens et. al. recently examined BMD and its prognostic role in palliative patients suffering from CCA, finding a significant correlation in female patients only [14]. However, they used a median-based gender-specific cutoff for BMD. Similarly, to address well-documented gender differences in BMD values, our study adopted sex-specific cutoffs for osteopenia, aligning with the approach recently employed by Sharshar et al. in a Japanese cohort of patients with pancreatic cancer [21,24]. While we used the well-established and frequently described cutoff of 160 HU for men, the cutoff for women was determined at 175 HU based on findings from a recent HCC cohort [13].
Recent studies have established a link between reduced muscle mass, or sarcopenia, and bone mineral density (BMD). For instance, Szulc et al. found that sarcopenia was connected to thinner bone cortices and an increased risk of falls in older men [25]. However, our study did not confirm a relationship between sarcopenia and skeletal muscle index (SMI). Instead, we identified a highly significant correlation between BMD and muscle density or radiation attenuation, and as expected, a significant negative correlation with patient age.
In our cohort, although patients with osteopenia were significantly older, no increased perioperative risk or adverse long-term survival were observed. These results imply that the presence of osteopenia should not automatically preclude older patients from undergoing surgical interventions. Consequently, it appears that partial hepatectomy for CCA is both safe and effective even for the demographic group of elderly surgical candidates, as was recently reported by Weigle et al. and Gupta et al. [26,27]. This could be an important lesson for countries and HPB programs where advanced age alone is seen as an important limitation for surgery.
Several limitations of this study should be noted. First, there is a need to evaluate whether the osteopenia cutoffs used in our analysis were appropriate for accurately identifying patients at risk for poor outcomes. Factors such as age, sex, race, and other cohort-specific variables can significantly influence BMD values and their distribution. Secondly, the preoperative CT images used for BMD measurement were obtained at different time points during routine clinical practice and analyzed retrospectively without standardized controls.
Despite these limitations, this study represents the first analysis to investigate the potential correlation between osteopenia and clinical outcomes following curative-intent liver surgery for cholangiocarcinoma in a large Western European single-center cohort. Additional prospective clinical trials are required to confirm these findings.

5. Conclusions

In this retrospective cohort study of patients undergoing curative-intent resection for intrahepatic and perihilar cholangiocarcinoma, preoperative osteopenia—despite being highly prevalent—did not emerge as a significant predictor of perioperative morbidity, postoperative mortality, or overall survival. This contrasts with prior findings in other cancer populations, where low bone mineral density has been associated with poorer outcomes. While osteopenic patients in our cohort were significantly older, reduced BMD alone did not translate into worse short- or long-term clinical trajectories. These findings suggest that osteopenia, as measured by CT at the thoracic vertebra level, may have limited utility as a standalone prognostic marker in the context of cholangiocarcinoma surgery. Given the complex interplay between age, frailty, and oncologic outcomes, further prospective studies are warranted to explore whether BMD could still contribute to a broader preoperative risk stratification framework.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/cancers17132213/s1, Table S1: Gender-specific carcinoma distribution.

Author Contributions

The study was designed by the initiating study team (F.A.M., K.J. and Z.C.). Data collection and analysis were performed by F.A.M., K.J. and Z.C. The manuscript was drafted by F.A.M. and Z.C. Further authors (P.T., E.B., A.A.R., O.B., F.O., J.B., U.P.N., C.V.S., R.S., I.A. and F.W.R.V.) have substantially contributed to the final version of the manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

The authors declare funding from the START-program (#108/21 to F.A.M., #23/19 to Z.C.), the Clinician Scientist program (to Z.C.), and the FF-Med program (to F.A.M.) of the Faculty of Medicine RWTH Aachen University without involvement of the funders in the study design, data collection, data analysis, manuscript preparation, or decision to publish.

Institutional Review Board Statement

This study was conducted in accordance with the Declaration of Helsinki and approved by the Institutional Review Board (or Ethics Committee) of the RWTH-Aachen Institutional Review Board (protocol code EK 115/20 and EK 341/21 and 7 October 2021).

Informed Consent Statement

Due to the study’s retrospective design and use of pre-existing clinical data, informed consent was waived.

Data Availability Statement

All relevant data were reported within the manuscript and Supplementary files. Further supporting data will be provided upon written request addressed to the corresponding author.

Conflicts of Interest

The authors of this manuscript have no conflicts of interest to disclose.

Abbreviations

ALTAlanine aminotransferase
ASAAmerican Society of Anesthesiologists
ASTAspartate aminotransferase
BCBody composition
BMDBone mineral density
BMIBody mass index
CCACholangiocarcinoma
CCIComprehensive complication index
CDClavien–Dindo classification
CTComputed tomography
FFP unitsFresh frozen plasma units
GCPGood clinical practice
GGTGamma glutamyltransferase
HUHounsfield units
iCCAIntrahepatic cholangiocarcinoma
ICUIntensive care unit
L3Third lumbar level
OLTOrthotopic liver transplantation
OROdds-ratio
pCCAPerihilar cholangiocarcinoma
PVEPortal vein embolization
PODPostoperative day
RBC unitsRed blood cell units
SMASkeletal muscle radiation attenuation
SMISkeletal muscle index
UH-RWTHUniversity Hospital of the RWTH University
UICCUnion for International Cancer Control

References

  1. Bunchorntavakul, C.; Reddy, K.R. Review article: Malnutrition/sarcopenia and frailty in patients with cirrhosis. Aliment. Pharmacol. Ther. 2019, 51, 64–77. [Google Scholar] [CrossRef] [PubMed]
  2. Harimoto, N.; Shirabe, K.; Yamashita, Y.-I.; Ikegami, T.; Yoshizumi, T.; Soejima, Y.; Ikeda, T.; Maehara, Y.; Nishie, A.; Yamanaka, T. Sarcopenia as a predictor of prognosis in patients following hepatectomy for hepatocellular carcinoma. Br. J. Surg. 2013, 100, 1523–1530. [Google Scholar] [CrossRef] [PubMed]
  3. Lee, C.M.; Kang, J. Prognostic impact of myosteatosis in patients with colorectal cancer: A systematic review and meta-analysis. J. Cachex-Sarcopenia Muscle 2020, 11, 1270–1282. [Google Scholar] [CrossRef] [PubMed]
  4. Montano-Loza, A.J.; Angulo, P.; Meza-Junco, J.; Prado, C.M.M.; Sawyer, M.B.; Beaumont, C.; Esfandiari, N.; Ma, M.; Baracos, V.E. Sarcopenic obesity and myosteatosis are associated with higher mortality in patients with cirrhosis. J. Cachex-Sarcopenia Muscle 2015, 7, 126–135. [Google Scholar] [CrossRef]
  5. Czigany, Z.; Kramp, W.; Bednarsch, J.; van der Kroft, G.; Boecker, J.; Strnad, P.; Zimmermann, M.; Koek, G.; Neumann, U.P.; Lurje, G. Myosteatosis to predict inferior perioperative outcome in patients undergoing orthotopic liver transplantation. Am. J. Transplant. 2019, 20, 493–503. [Google Scholar] [CrossRef]
  6. Meister, F.A.; Lurje, G.; Verhoeven, S.; Wiltberger, G.; Heij, L.; Liu, W.-J.; Jiang, D.; Bruners, P.; Lang, S.A.; Ulmer, T.F.; et al. The Role of Sarcopenia and Myosteatosis in Short- and Long-Term Outcomes Following Curative-Intent Surgery for Hepatocellular Carcinoma in a European Cohort. Cancers 2022, 14, 720. [Google Scholar] [CrossRef]
  7. Yang, L.; Chen, K.; Li, G.; Wang, W. Impact of myosteatosis on outcomes after liver transplantation: A systematic review and meta-analysis. Hepatol. Int. 2025, 7, 1–8. [Google Scholar] [CrossRef]
  8. Wang, G.; Mantas, A.; Heij, L.R.; Al-Masri, T.M.; Liu, D.; Heise, D.; Schmitz, S.M.; Damink, S.W.M.O.; Luedde, T.; Lang, S.A.; et al. Body composition is associated with postoperative complications in perihilar cholangiocarcinoma. Cancer Med. 2024, 13, e6878. [Google Scholar] [CrossRef]
  9. Lu, D.; Hu, Z.; Chen, H.; Khan, A.A.; Xu, Q.; Lin, Z.; Li, H.; Zhuo, J.; He, C.; Zhuang, L.; et al. Myosteatosis and muscle loss impact liver transplant outcomes in male patients with hepatocellular carcinoma. J. Cachex- Sarcopenia Muscle 2024, 15, 2071–2083. [Google Scholar] [CrossRef]
  10. Pereira, F.B.; Leite, A.F.; de Paula, A.P. Relationship between pre-sarcopenia, sarcopenia and bone mineral density in elderly men. Arq. Bras. de Endocrinol. Metabol. 2015, 59, 59–65. [Google Scholar] [CrossRef]
  11. Pickhardt, P.J.; Pooler, B.D.; Lauder, T.; del Rio, A.M.; Bruce, R.J.; Binkley, N. Opportunistic Screening for Osteoporosis Using Abdominal Computed Tomography Scans Obtained for Other Indications. Ann. Intern. Med. 2013, 158, 588–595. [Google Scholar] [CrossRef] [PubMed]
  12. Meister, F.A.; Verhoeven, S.; Mantas, A.; Liu, W.-J.; Jiang, D.; Heij, L.; Heise, D.; Bruners, P.; Lang, S.A.; Ulmer, T.F.; et al. Osteopenia is associated with inferior survival in patients undergoing partial hepatectomy for hepatocellular carcinoma. Sci. Rep. 2022, 12, 18316. [Google Scholar] [CrossRef] [PubMed]
  13. Miyachi, Y.; Kaido, T.; Yao, S.; Shirai, H.; Kobayashi, A.; Hamaguchi, Y.; Kamo, N.; Yagi, S.; Uemoto, S. Bone Mineral Density as a Risk Factor for Patients Undergoing Surgery for Hepatocellular Carcinoma. World J. Surg. 2018, 43, 920–928. [Google Scholar] [CrossRef] [PubMed]
  14. Jördens, M.S.; Wittig, L.; Loberg, C.; Heinrichs, L.; Keitel, V.; Schulze-Hagen, M.; Antoch, G.; Knoefel, W.T.; Fluegen, G.; Loosen, S.H.; et al. Bone Mineral Density Is a Predictor of Mortality in Female Patients with Cholangiocellular Carcinoma Undergoing Palliative Treatment. Biomedicines 2022, 10, 1660. [Google Scholar] [CrossRef]
  15. Watanabe, J.; Miki, A.; Sakuma, Y.; Shimodaira, K.; Aoki, Y.; Meguro, Y.; Morishima, K.; Endo, K.; Sasanuma, H.; Lefor, A.K.; et al. Preoperative Osteopenia Is Associated with Significantly Shorter Survival in Patients with Perihilar Cholangiocar-cinoma. Cancers 2022, 14, 2213. [Google Scholar] [CrossRef]
  16. Sharma, P.; Parikh, N.D.; Yu, J.; Barman, P.; Derstine, B.A.; Sonnenday, C.J.; Wang, S.C.; Su, G.L. Bone mineral density predicts posttransplant survival among hepatocellular carcinoma liver transplant recipients. Liver Transplant. 2016, 22, 1092–1098. [Google Scholar] [CrossRef]
  17. Clavien, P.A.; Barkun, J.; De Oliveira, M.L.; Vauthey, J.N.; Dindo, D.; Schulick, R.D.; De Santibañes, E.; Pekolj, J.; Slankamenac, K.; Bassi, C. The Clavien-Dindo classification of surgical complications: Five-year experience. Ann. Surg. 2009, 250, 187–196. [Google Scholar] [CrossRef]
  18. Slankamenac, K.; Graf, R.; Barkun, J.; Puhan, M.A.; Clavien, P.A. The comprehensive complication index: A novel continuous scale to measure surgical morbidity. Ann. Surg. 2013, 258, 1–7. [Google Scholar] [CrossRef]
  19. Yao, S.; Kaido, T.; Okumura, S.; Iwamura, S.; Miyachi, Y.; Shirai, H.; Kobayashi, A.; Hamaguchi, Y.; Kamo, N.; Uozumi, R.; et al. Bone mineral density correlates with survival after resection of extrahepatic biliary malignancies. Clin. Nutr. 2019, 38, 2770–2777. [Google Scholar] [CrossRef]
  20. Kenny, A.M.; Waynik, I.Y.; Smith, J.; Fortinsky, R.; Kleppinger, A.; McGee, D. Association Between Level of Frailty and Bone Mineral Density in Community-Dwelling Men. J. Clin. Densitom. 2006, 9, 309–314. [Google Scholar] [CrossRef]
  21. Sharshar, M.; Kaido, T.; Shirai, H.; Okumura, S.; Yao, S.; Miyachi, Y.; Iwamura, S.; Kamo, N.; Yagi, S.; Macshut, M.; et al. Impact of the preoperative bone mineral density on the outcomes after resection of pancreatic cancer. Surg. Today 2020, 50, 757–766. [Google Scholar] [CrossRef] [PubMed]
  22. Jang, S.; Graffy, P.M.; Ziemlewicz, T.J.; Lee, S.J.; Summers, R.M.; Pickhardt, P.J. Opportunistic Osteoporosis Screening at Routine Abdominal and Thoracic CT: Normative L1 Trabecular Attenuation Values in More than 20 000 Adults. Radiology 2019, 291, 360–367. [Google Scholar] [CrossRef] [PubMed]
  23. Ziemlewicz, T.J.; Binkley, N.; Pickhardt, P.J. Opportunistic Osteoporosis Screening: Addition of Quantitative CT Bone Mineral Density Evaluation to CT Colonography. J. Am. Coll. Radiol. 2015, 12, 1036–1041. [Google Scholar] [CrossRef] [PubMed]
  24. Chen, C.; Liu, Y.; Lee, S.; Yang, H.; Chan, W.P. Gender interactions between vertebral bone mineral density and fat content in the elderly: Assessment using fat–water MRI. J. Magn. Reson. Imaging 2019, 51, 1382–1389. [Google Scholar] [CrossRef]
  25. Szulc, P.; Beck, T.J.; Marchand, F.; Delmas, P.D. Low Skeletal Muscle Mass Is Associated With Poor Structural Parameters of Bone and Impaired Balance in Elderly Men—The MINOS Study. J. Bone Miner. Res. 2005, 20, 721–729. [Google Scholar] [CrossRef]
  26. Weigle, C.A.; Beetz, O.; Wiemann, B.A.; Tessmer, P.; Störzer, S.; Cammann, S.; Vondran, F.W.R.; Oldhafer, F.; Schmelzle, M.; Richter, N. Resection of intrahepatic cholangiocarcinoma in octogenarians: A single-center analysis. Discov. Oncol. 2024, 15, 224. [Google Scholar] [CrossRef]
  27. Gupta, A.K.; Kanhere, H.A.; Maddern, G.J.; Trochsler, M.L. Liver resection in octogenarians: Are the outcomes worth the risk? ANZ J. Surg. 2018, 88, E756–E760. [Google Scholar] [CrossRef]
Figure 1. Summary of the study design and analysis approach.
Figure 1. Summary of the study design and analysis approach.
Cancers 17 02213 g001
Figure 2. Correlation between bone mineral density and patient age (A), body mass index (B), muscle density (C), and muscle mass (D).
Figure 2. Correlation between bone mineral density and patient age (A), body mass index (B), muscle density (C), and muscle mass (D).
Cancers 17 02213 g002
Figure 3. (A) Five-year survival of osteopenic and non-osteopenic patients. (B) Disease-free survival of osteopenic and non-osteopenic patients. (C) Five-year survival of osteopenic and non-osteopenic patients suffering from pCCC. (D) Disease-free survival of osteopenic and non-osteopenic patients suffering from pCCC. (E) Five-year survival of osteopenic and non-osteopenic patients suffering from iCCC. (F) Disease-free survival of osteopenic and non-osteopenic patients suffering from iCCC.
Figure 3. (A) Five-year survival of osteopenic and non-osteopenic patients. (B) Disease-free survival of osteopenic and non-osteopenic patients. (C) Five-year survival of osteopenic and non-osteopenic patients suffering from pCCC. (D) Disease-free survival of osteopenic and non-osteopenic patients suffering from pCCC. (E) Five-year survival of osteopenic and non-osteopenic patients suffering from iCCC. (F) Disease-free survival of osteopenic and non-osteopenic patients suffering from iCCC.
Cancers 17 02213 g003
Figure 4. (A) Five-year survival of osteopenic and non-osteopenic female patients. (B) Five-year survival of osteopenic and non-osteopenic male patients. (C) Five-year survival of osteopenic and non-osteopenic female patients suffering from pCCC. (D) Five-year survival of osteopenic and non-osteopenic male patients suffering from pCCC. (E) Five-year survival of osteopenic and non-osteopenic female patients suffering from iCCC. (F) Five-year survival of osteopenic and non-osteopenic male patients suffering from iCCC.
Figure 4. (A) Five-year survival of osteopenic and non-osteopenic female patients. (B) Five-year survival of osteopenic and non-osteopenic male patients. (C) Five-year survival of osteopenic and non-osteopenic female patients suffering from pCCC. (D) Five-year survival of osteopenic and non-osteopenic male patients suffering from pCCC. (E) Five-year survival of osteopenic and non-osteopenic female patients suffering from iCCC. (F) Five-year survival of osteopenic and non-osteopenic male patients suffering from iCCC.
Cancers 17 02213 g004
Table 1. Patient and procedural characteristics.
Table 1. Patient and procedural characteristics.
CharacteristicsAll PatientsOsteopeniap-Value
n = 202Yes n = 107No n = 95
Age (years)66.6 [57.7–73.4]71.1 [62–76.6]61.3 [52.9–69.2]0.001
BMI (kg/m2)25.1 [22.5–28.9]25 [22.1–29.1]25.1 [22.9–28.7]0.921
Bone mineral density (HU)155 [129.9–187.4]132 [107–143]189 [176–215]0.001
SMI (cm2/m2)48 [42–55]46 [41–53]48 [42–56]0.325
SM-RA (HU)35 [29–40]31 [25–36]35 [29–40]0.001
Sex ratio (F:M), n (%)86 (43):116 (57)44 (41):63 (59)42 (44):53 (56)0.658
ASA 0.251
18 (4)2 (3)6 (6)
281 (40)41 (38)40 (42)
3100 (50)59 (55)41 (43)
49 (5)5 (5)4 (4)
EBD (stent), n (%)100 (50)55 (51)45 (47)0.576
PBD, n (%)24 (12)13 (12)11 (12)0.922
Cholangitis preoperative55 (27)35 (33)20 (21)0.865
Steatosis37 (18)15 (14)22 (23)0.068
Cirrhosis8 (4)3 (3)5 (5)0.590
Serum CA 19-9 pre-op58 [22–232]64 [19–214]57 [23–283]0.653
Serum Hgb pre-op12.8 [11.8–13.8]12.6 [11.7–13.9]13 [11.9–13.7]0.614
Preoperative AST (U/L)41 [30–64]37 [30–55]47 [32–82]0.913
Serum bilirubin0.74 [0.44–1.76]0.7 [0.43–1.35]0.83 [0.45–2.47]0.878
Preoperative GGT (U/L)246 [110–626]245 [99–630]246 [120–621]0.041
Preoperative albumin (g/L)41 [36–44]40 [35–44]41 [36–44]0.368
Portal vein embolization (PVE), n (%)55 (27)35 (33)20 (21)0.081
Laparoscopic approach n (%)8 (4)2 (2)6 (6)0.268
Lymphadenectomy, n (%)193 (96)104 (96)89 (93)0.871
Vascular reconstruction n (%)152 (75)83 (77)70 (74)0.830
Operative Procedure 0.078
Atypical resection 9 (5)3 (3)6 (6)
Right hepatectomy26 (13)10 (9)16 (17)
Left hepatectomy25 (12)18 (17)7 (7)
Extended right hepatectomy30 (15)17 (16)13 (14)
Extended left hepatectomy35 (17)13 (12)22 (23)
Right trisectorectomy27 (13)19 (18)8 (8)
Left trisectorectomy14 (7)9 (8)22 (23)
Bisegmentectomy 6 (3)4 (4)2 (2)
Hepatoduodenectomy9 (5)3 (3)6 (6)
ALPPS14 (7)7 (7)7 (7)
Tumor Stage UICC (8th edition) 0.977
02 (1)1 (1)1 (1)
I24 (12)15 (14)9 (10)
II67 (33)39 (36)28 (30)
III79 (39)41 (38)38 (40)
IV20 (10)9 (9)11 (13)
T category, n (%) 0.757
Tis2 (1)1 (1)1 (1)
T1351916
T211966 53
T332 (16)13 (12)19 (20)
T413 (6)7 (7)6 (6)
N category, n (%) 0.056
N0109 (54)63 (59)49 (52)
N167 (33)37 (35)30 (32)
N212 (6)5 (5)7 (7)
Nx9 (5)1 (1)8 (8)
R category, n (%) 0.521
R0150 (74)76 (71)74 (78)
R128 (14)16 (15)12 (13)
Rx19 (9)12 (11)7 (7)
(Micro-)vascular invasion, n (%)62 31 (29)31 (33)0.852
Lymphovascular invasion, n (%)4622 (21)24 (25)0.332
Perineural invasion, n (%)9040 (37)50 (53)0.329
Tumor grading, n (%) 0.251
G12 (1)1 (1)2 (2)
G2128 (63)70 (65)58 (67)
G2–35 (3)4 (4)1 (1)
G350 (25)25 (23)25 (26)
G44 (2)3 (3)1 (1)
Values are given as the mean ± standard deviation or numbers and percentages. Abbreviations used: BMI: body mass index; ASA: American Society of Anesthesiologists; AST: aspartate aminotransferase; GGT: gamma glutamyltransferase; BMD (HU): bone mineral density (Hounsfield units); SMI: skeletal muscle index; SM-RA (HU): skeletal muscle radiation attenuation (Hounsfield units); PVE: portal venous embolization; UICC: Union for International Cancer Control.
Table 2. Perioperative outcome.
Table 2. Perioperative outcome.
CharacteristicsAll PatientsOsteopeniap-Value
pCCA + iCCAn = 202yes n = 107no n = 95
CD ≥ 3b complications 1 including 90-day mortality n (%)71 (35)34 (32)37 (39)0.262
Duration operative procedure (minutes)360 [288–438]355 [277–435]363 [300–450]0.274
Hospital stay (days)15 [11–28]16 [11–26]15 [11–30]0.266
Intraoperative RBC transfusion (units)0 [0–2]0 [0–2]0 [0–2]0.796
Intraoperative FFP transfusion (units)2 [0–4]2 [0–4]0 [0–4]0.468
CCI 234.6 [20.9–59]33.5 [8.7–56]39.5 [20.9–72.2]0.128
pCCAn = 105yes n = 54no n = 51
CD ≥ 3b complications 1 including 90-day mortality n (%)47 (49)20 (38)27 (53)0.101
Duration operative procedure (minutes)404 [359–474]390 [358–477]420 [357–475]0.479
Hospital stay (days)19 [12–36]16 [12–36]20 [13–36]0.207
Intraoperative RBC transfusion (units)0 [0–2]0 [0–2]0 [0–2]0.535
Intraoperative FFP transfusion (units)3 [0–4]3 [0–4]4 [0–5]0.820
CCI 241 [21–74]38 [21–60]30 [0–47]0.133
iCCAn = 97yes n = 53no n = 44
CD ≥ 3b complications 1 including 90-day mortality n (%)24 (25)14 (26)10 (23)0.722
Duration operative procedure (minutes)295 [227–360]288 [216–353]300 [242–374]0.485
Hospital stay (days)14 [9–25]15 [10–26]13 [8–22]0.986
Intraoperative RBC transfusion (units)0 [0–1]0 [0–2]0 [0–1]0.489
Intraoperative FFP transfusion (units)0 [0–4]0 [0–4]0 [0–4]0.431
CCI 228 [0–47]26 [26–48]30 [0–47]0.669
Values are given as the median and interquartile ranges or numbers and percentages. 1 Refers to Clavien et al. [17]. 2 Refers to Slankamenac et al. [18]. Abbreviations used: pCCA: perihilar cholangiocellular carcinoma, iCCA: intrahepatic cholangiocellular carcinoma, CD: Clavien–Dindo classification, RBC: red blood cell units, FFP: fresh frozen plasma units, CCI: comprehensive complication index.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Meister, F.A.; Joechle, K.; Tessmer, P.; Belger, E.; Roeth, A.A.; Beetz, O.; Oldhafer, F.; Bednarsch, J.; Neumann, U.P.; Schneider, C.V.; et al. Perioperative and Oncological Outcome in Patients Undergoing Curative-Intent Liver Resection for Cholangiocarcinoma in the Context of Osteopenia. Cancers 2025, 17, 2213. https://doi.org/10.3390/cancers17132213

AMA Style

Meister FA, Joechle K, Tessmer P, Belger E, Roeth AA, Beetz O, Oldhafer F, Bednarsch J, Neumann UP, Schneider CV, et al. Perioperative and Oncological Outcome in Patients Undergoing Curative-Intent Liver Resection for Cholangiocarcinoma in the Context of Osteopenia. Cancers. 2025; 17(13):2213. https://doi.org/10.3390/cancers17132213

Chicago/Turabian Style

Meister, Franziska A., Katharina Joechle, Philipp Tessmer, Esref Belger, Anjali A. Roeth, Oliver Beetz, Felix Oldhafer, Jan Bednarsch, Ulf P. Neumann, Carolin V. Schneider, and et al. 2025. "Perioperative and Oncological Outcome in Patients Undergoing Curative-Intent Liver Resection for Cholangiocarcinoma in the Context of Osteopenia" Cancers 17, no. 13: 2213. https://doi.org/10.3390/cancers17132213

APA Style

Meister, F. A., Joechle, K., Tessmer, P., Belger, E., Roeth, A. A., Beetz, O., Oldhafer, F., Bednarsch, J., Neumann, U. P., Schneider, C. V., Siepmann, R., Amygdalos, I., Vondran, F. W. R., & Czigany, Z. (2025). Perioperative and Oncological Outcome in Patients Undergoing Curative-Intent Liver Resection for Cholangiocarcinoma in the Context of Osteopenia. Cancers, 17(13), 2213. https://doi.org/10.3390/cancers17132213

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop