Liver metastases: treatment planning. PJ Valette
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1 Liver metastases: treatment planning PJ Valette
2 Liver metastases removal December 2010 April 2011 : after chemotherapy June 2011 : after resection of left lobe mets & portal embol. Sept 2011 : 1 year after right Hepatectomy and CRC removal
3 Liver metastases removal Curative treatment of liver primary cancers or metastases can only be achieved by complete tumor removal: resection surgery and/or local ablation Neoadjuvant chemotherapy is used to reduce the size of lesions and to select responding patients before extensive surgery (CRC metastases - B Nordlinger) Combined treatments including portal embolization, arterial embolization, RF or microwave ablation before, after, or at the time of surgery may also be proposed
4 Liver metastases removal Such strategies are based on an individual treatment project Involving several specialists: surgeon, radiologist, oncologist Including multiple steps With a sole objective: to remove all lesions Need for A clear identification of each lesion: diagnosis, size, site A preliminary assessment of the feasibility of liver resection and/or tumor ablation: liver anatomy A complete description, step by step, of each treatment decided for each lesion: how, when, who? A clear understanding of the results of the preoperative treatments
5 A 4 steps process 1. Diagnosis of cancer a) Detection and characterization b) Assessment of extension 2. Treatment planning c) Therapeutic decision d) Patient management
6 Therapeutic decision Hepatectomies are based on the anatomical Couinaud segmentation Remnant liver should be at least 30% of the functional liver VII VI VIII V I IV II III Except for simple cases, resectability assessment needs: To determine the boundaries and volumes of each segment To localize tumors into segments Software aided liver segmentation and volume calculations
7 The automatic segmentation Based on the portal anatomy: represents the real area of portal vascularization of each branch but The portal contrast enhancement needs to be optimal for the automatic detection of the venous tracks The branch to follow may be ambiguous in case of trifurcations, anatomic variations, Moreover: not really applicable at surgery Rieker O (Rofo 2001): the automatic classification of portal vein failed in 51 of 409 branches due to unexpected anatomy
8 The semi-automatic segmentation Based on surgical anatomical landmarks 1) Liver surface Hepatic veins VII VIII II Portal bifurcation 2) Perop. US V VI IV III Umbilical fissure Gallbladder fossa
9 The semi-automatic segmentation Based on surgical anatomical landmarks 1. Inferior Vena Cava 2. Right hepatic vein 3. Gallbladder fossa Umbilical fissure Superficial ligmt venosum Deep ligmt venosum 1 7. End of left portal vein 8. Right portal vein bifucation 9. Tip of left lobe
10 The liver analysis Liver volumes Tumor volumes
11 The semi-automatic segmentation Clinical evaluation of the concept 216 tumors into 48 patients 2 juniors (with software), 2 experts (without software), 1 adjudicator (expert + software) 1. Volume of sgmts: reproducibility? 2. Segment localization of each tumor: accuracy? Juniors agreement: 89% (kappa 0,85) Experts agreement: 92% (kappa 0,88) Juniors vs Experts agreement: 97% (kappa 0,88)
12 Tumor removal Hepatectomy and local resection: Portal and liver anatomic variations Resected volumes according to tumor localization Feasibility? Need for pre-op. PV embolization?
13 Tumor removal RF or microwave ablation Adjacent critical structures: veins, bile ducts Access route Type of needle (length, diameter, )
14 Portal vein embolization Percutaneous catheterization Venous anatomy
15 Tumor embolization Yttrium radio-embolization Arterial anatomy
16 Preoperative treatments Response to chemotherapy CT is the method of choice for oncologists : easy to read, reproducible, well established criteriae (RECIST)
17 Response to treatment Morphologic methods tumor size: CT RECIST Morphologic methods tumor necrosis: CT m-recist, Choi, EASL Functional methods tumor perfusion: CT, MR, CEUS CTP parameters tumor cellularity: MR diffusion ADC tumor activity: PET SUV
18 Tumor size : RECIST 1.1 Apparently simple 1 question: progressive disease? decision to change for an other treatment 1 major information: Measurement of max. 5 target lesions (2 per organ): tumors and lymphadenopathies, 1 diameter only % of variation the sum of diameters 1 algorithm
19 Tumor size: RECIST 1.1 PD? (T & NT) Increase ΣD target L > 20% New lesion of adenopathy Unequivocal progression of non target lesions Nadir yes At least 1 criteria no CR? (T & NT) Disappearance of all lesions Disappearance of all LN > 10 mm yes All criteria no Baseline PR (T)? Decrease ΣD target L < 30% yes The single criteria no SD (T) PD CR PR SD
20 Tumor size : RECIST 1.1 Baseline ΣD = 90,9 m3 nadir ΣD = 46,7 Δ% BL: -49% Δ% N-1: -49% PR PR m6 ΣD = 49,3 m9 ΣD = 58,4 Δ% BL: -46% PR Δ% BL: -36% Δ% N-1: 6% SD Δ% N-1: 18% Δ% nadir: 6% SD Δ% nadir: 25% PR SD PD
21 Tumor size : RECIST 1.1 Baseline 1st evaluation Time to progression 10 months 1st 2nd evaluation Present study Time to progression 7 months Case Y Menu
22 Tumor size : RECIST 1.1 Not so simple Which reference studies : BL and nadir? Which series into the reference studies? Which image into the reference series : same lesion, longest diameter? And also Need for registration tools in case of different slice thickness or field of view and automatic detection of target lesions slices Need for automatic calculation of the % of variations of the sum of diameters, and proposal of RECIST response Need for entering descriptive evaluation (new lesion, )
23 Tumor size : RECIST 1.1 Table of results and graphic visualization Not stored as a DICOM picture into the PACS but sent to a patient database related to the patient oncology file
24 A problem to anticipate The missing metastase Nov 2012 Feb 2012 Mar 2012?
25 A problem to anticipate Surrogate markers (metallic clip)
26 Tumor necrosis Low reliability of RECIST when the tumor necrosis, instead of tumor volume, is a more appropriate indicator of the treatment result GIST treated by Glivec 1 week 1 month 8 months
27 Tumor necrosis Estimation of the volume of viable tumor from: The variation of mean density of the whole tumor (Choi) The volume (surface) of enhanced tumor compared to necrosis (EALS, m-recist) The type of enhancement (Chun) combined or not to variation of tumor volume All methods based on tumor necrosis assessment correlate better to patient survival compared to RECIST
28 Tumor necrosis Some limitations are however still observed How to accurately determine a volume (surface) of viable tumor into a heterogeneous tumor mass: ring or nodular enhancement?
29 Patient management Case of colon cancer recently removed Bilateral metastases predominant on right lobe Right hepatectomy appears to be feasible after portal vein embolization and assessment of chemotherapy response Request is: place a marker into left lobe metastase in order to schedule a RF ablation (risk of disappearance of lesion after chemo.)?
30
31
32 Conclusion Take home messages MRI is needed for a accurate pre-therapeutic assessment as soon as liver resection or tumor ablation are considered Liver segments and tumor volumes calculation is now routinely available with recent softwares Patient management must be clearly organized as a step by step treatment planning
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